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Review

5-Methylcytidine RNA Epitranscriptomics in Women’s Health and Disease: Mechanisms and Clinical Implications

1
Department of Obstetrics and Gynecology, University of Chicago, Chicago, IL 60637, USA
2
Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, University of Chicago, Chicago, IL 60637, USA
3
Section of Cardiology, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, IL 60637, USA
4
Division of Cardiac Surgery, Department of Surgery, Dorothy M. Davis Heart & Lung Research Institute, Ohio State University, Columbus, OH 43210, USA
5
Department of Public Health and Epidemiology, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates
6
Center for Biotechnology, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates
7
Department of Medical Sciences, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates
8
Department of Obstetrics and Gynecology, Sheik Shakhbout Medical City, Abu Dhabi P.O. Box 127788, United Arab Emirates
9
Department of Molecular Medicine, Institute of Biotechnology, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
*
Author to whom correspondence should be addressed.
Cells 2026, 15(9), 847; https://doi.org/10.3390/cells15090847
Submission received: 9 April 2026 / Revised: 29 April 2026 / Accepted: 30 April 2026 / Published: 6 May 2026

Highlights

What are the main findings?
  • 5-methylcytidine (m5C) is a dynamic RNA modification that regulates RNA stability, translation, localization, and stress responses across diverse biological systems.
  • m5C dysregulation is implicated in key processes relevant to women’s health, including early embryonic development, reproductive function, pregnancy adaptation, metabolic regulation, and cancer progression.
What are the implications of the main findings?
  • m5C represents a critical epitranscriptomic regulatory layer linking RNA metabolism with hormone-responsive physiology and sex-specific disease mechanisms.
  • It has strong potential as a biomarker and therapeutic target, supporting future precision medicine approaches in women’s health and disease.

Abstract

Chemical modifications of RNA add a dynamic regulatory layer to gene expression beyond the genome and epigenome. Among these modifications, 5-methylcytidine (m5C) has emerged as a key epitranscriptomic modification that influences RNA stability, translation, localization, and stress responses across diverse biological systems. Recent advances in high-resolution mapping and functional interrogation of m5C have revealed its involvement in development, metabolism, immune regulation, and disease pathogenesis. Notably, many of these processes are highly relevant to women’s health, which is shaped by hormone-responsive tissues, reproductive transitions, and pregnancy-associated physiological adaptations. In this review, we provide a comprehensive and integrative overview of m5C RNA modification with a focus on its roles in female biology and disease. We summarize the molecular machinery responsible for m5C deposition, recognition, and regulation, as well as current detection technologies. We further highlight emerging evidence linking m5C dysregulation to early embryonic development, women-specific cancers, gynecologic and reproductive disorders, pregnancy complications, and metabolic and cardiovascular diseases. In addition, we discuss the interplay between m5C and sex hormone signaling, as well as the potential of m5C as a biomarker and therapeutic target. Finally, we identify key knowledge gaps, including the need for tissue-specific, longitudinal, single-cell, and spatial epitranscriptomic studies in women. By integrating epitranscriptomics into women’s health research, this review underscores m5C as a previously underappreciated regulatory layer with significant implications for precision medicine and clinical translation.

1. Introduction

1.1. Epigenetics vs. Epitranscriptomics: Expanding Regulatory Layers

Epigenetic regulation has long been recognized as a fundamental mechanism controlling gene expression without altering the underlying DNA sequence. It operates primarily through DNA methylation, post-translational histone modifications (such as acetylation, methylation, phosphorylation, and ubiquitination), and ATP-dependent chromatin remodeling complexes. These processes regulate chromatin accessibility and transcription factor binding, thereby shaping gene expression landscapes in a cell-type–specific manner [1]. Through the coordinated deposition and removal of epigenetic marks, cells establish relatively stable transcriptional programs that define cellular identity, guide lineage commitment during development, and maintain long-term transcriptional memory across cell divisions. Dysregulation of these mechanisms contributes to developmental disorders, aging, and a wide range of diseases, including reproductive disorders, cancer and cardiovascular pathology [2,3].
In contrast, epitranscriptomics represents a more recently appreciated layer of gene regulation that functions at the RNA level [4]. Chemical modifications of RNA, including m6A, pseudouridine and m5C, are installed, interpreted, and removed by specificalized proteins commonly referred to as writer, reader, and eraser proteins [5]. Unlike many epigenetic marks, RNA modifications are highly dynamic and can rapidly adjust in response to intracellular signaling and environmental stimuli. By modulating RNA structure and interactions with RNA-binding proteins, epitranscriptomic marks influence virtually every stage of RNA metabolism, including splicing, nuclear export, subcellular localization, translation efficiency, and transcript stability or decay [6]. This regulatory flexibility enables rapid and context-dependent fine-tuning of gene expression at the post transcription level, providing cells with a flexible and reversible mechanism to rapidly adapt protein production to developmental cues, hormonal fluctuations, metabolic demands, and stress conditions [7].
Together, epigenetic and epitranscriptomic mechanisms form an integrated, multilayered regulatory network that coordinates gene expression across DNA, chromatin, and RNA levels. Epigenetic programs establish transcriptional potential, while epitranscriptomic modifications refine and adjust transcript utilization and protein synthesis. This interplay greatly expands the complexity, precision, and plasticity of gene regulation beyond transcription alone. Understanding how these layers interact provides deeper insight into tissue-specific physiology, sex differences, adaptive stress responses, and disease pathogenesis. It opens new avenues for therapeutic intervention targeting regulatory processes at both chromatin and RNA levels.

1.2. Overview of RNA Modifications with Focus on m5C

Post-transcriptional chemical modification of RNA adds a critical regulatory layer to gene expression, collectively referred to as the epitranscriptome [8,9]. To date, more than 170 distinct RNA modifications have been identified across diverse RNA species, including transfer RNA (tRNA), ribosomal RNA (rRNA), messenger RNA (mRNA), and various classes of noncoding RNA. These modifications influence nearly every aspect of RNA metabolism, including folding, stability, splicing, nuclear export, translation efficiency, and decay. Among the best-characterized RNA modifications are N6-methyladenosine (m6A), pseudouridine (Ψ), 5-methylcytidine (m5C), N1-methyladenosine (m1A), and 2′-O-methylation, each of which contributes uniquely to post-transcriptional gene regulation [5,6]. However, the dynamic regulation and physiological relevance of RNA m5C installation and removal mechanisms remain incompletely defined, and in some contexts, their roles are still debated.
m5C was originally identified in highly abundant and structurally conserved RNAs, particularly tRNA and rRNA, where it plays essential roles in maintaining RNA stability, proper folding, and translational fidelity [10,11]. In tRNA, m5C modifications enhance structural integrity [11,12] and protect transcripts from stress-induced cleavage [13], whereas in rRNA they contribute to ribosome biogenesis and function [14,15]. Moreover, transcriptome-wide profiling approaches have revealed that m5C is also present in mRNA and long noncoding RNAs [16,17,18], expanding its functional relevance beyond housekeeping processes to the dynamic regulation of gene expression [19,20,21].
The installation of m5C is catalyzed primarily by S-adenosylmethionine (SAM)–dependent RNA methyltransferases of the NOP2/Sun RNA methyltransferase (NSUN) family (NSUN1–7) and DNMT2 (DNA Methyltransferase 2) [also known as TRDMT1 (tRNA aspartic acid methyltransferase 1)] [12,22,23]. These enzymes exhibit distinct RNA substrate specificity and tissue-dependent expression patterns, enabling context-dependent regulation of m5C deposition. In contrast to DNA 5-methylcytosine, which is often associated with transcriptional repression and chromatin compaction [24], RNA m5C modification influences multiple steps of RNA metabolism, including RNA nuclear export, transcript stability, translational efficiency, and stress-responsive gene regulation [25]. Rather than serving as a static epigenetic mark, RNA m5C acts as a dynamic and context-dependent regulator that fine-tunes gene expression. Emerging evidence further suggests that RNA m5C is reversibly regulated by members of the TET and AlkB homolog families, supporting a potential demethylation pathway [26]. In addition, m5C-modified transcripts can be selectively recognized by reader proteins, such as Aly/REF export factor (ALYREF) and YBX1, which mediate RNA nuclear export, stability, and translational control [18,27,28].
Compared with m6A, the most extensively studied mRNA modification, m5C appears to be potentially more stable, with erasure mechanisms remaining incompletely defined. This relative stability suggests that m5C may serve as a longer-term regulatory signal that integrates developmental cues, cellular identity, and environmental responses. Notably, m5C frequently coexists and functionally interacts with other RNA modifications, highlighting extensive crosstalk within the epitranscriptomic landscape [29]. Such multilayered regulation enables fine-tuning of gene expression programs in a cell-type- and condition-specific manner.
Together, these objectives provide a conceptual framework for understanding how m5C-mediated epitranscriptomic regulation shapes women’s health and establish a foundation for future mechanistic and translational studies [30].

1.3. Rationale for Focusing on Women’s Health

Women’s health provides a unique and biologically compelling context in which to investigate epitranscriptomic regulation. Many tissues central to women’s physiology are highly dynamic and sensitive to hormonal, developmental, and environmental cues, requiring precise and adaptable control of gene expression. RNA-based regulatory mechanisms are particularly well-suited to meet these demands, yet their contributions to female-specific biological processes and diseases remain underexplored.
Hormone-responsive tissues such as the breast, uterus, ovary, and endometrium, undergo cyclical and life-stage–dependent remodeling driven largely by estrogen and progesterone signaling. Across the female life course, from menstrual cycling through pregnancy, lactation, and menopause, these tissues undergo repeated and coordinated transition in gene expression that regulate cellular proliferation, differentiation, and tissue architecture [31]. Epitranscriptomic modifications such as m5C provide a mechanistic framework for fine-tuned regulation by modulating RNA stability, localization, and translation in response to hormonal signals. Understanding how m5C machinery interfaces with hormone receptor pathways may therefore reveal new layers of regulation underlying both normal physiology and hormone-dependent pathologies.
Reproductive biology further underscores the relevance of RNA modifications in women’s health. Oogenesis, follicular development, fertilization, and early embryogenesis rely heavily on post-transcriptional regulation, as transcriptional activity is temporally restricted during key stages. RNA modifications play critical roles in ensuring the stability and translation competence of maternal transcripts during these windows [32,33]. Given its established functions in RNA integrity and translational control [34], m5C is well-positioned to influence reproductive competence, fertility, and pregnancy outcomes. Yet, its specific contributions in female reproductive tissues remain incompletely defined.
Finally, many diseases exhibit pronounced sex-biased prevalence, presentation, and outcomes, including autoimmune disorders, metabolic syndromes, cardiovascular disease, and hormone-dependent cancers [35,36,37,38,39]. Gynecologic conditions such as endometriosis [40], uterine fibroids (UFs) [41], and ovarian, endometrial, and uterine cancers [42,43,44] affect women and often involve dysregulated gene expression, inflammation, and tissue remodeling. Investigating m5C in these contexts may help explain sex-specific molecular vulnerabilities and identify novel biomarkers or therapeutic targets tailored to women’s health. Together, these considerations highlight the importance of centering women’s biology in epitranscriptomic research and position m5C as a promising regulatory mechanism at the intersection of hormones, reproduction, and disease susceptibility.

1.4. Scope and Objectives of the Review

The scope of this review is to provide a comprehensive and integrative overview of m5C RNA modification as an emerging regulatory mechanism in women’s health and disease. We focus on current understanding of the molecular machinery governing m5C deposition, recognition, and function, with particular emphasis on its roles in hormone-responsive tissues, reproductive biology, and female-specific physiological processes across the life course. By synthesizing findings from studies of diverse RNA species, including tRNA, rRNA, mRNA, and long noncoding RNA, this review highlights how m5C contributes to post-transcriptional gene regulation in contexts relevant to women’s biology.
The objectives of this review are fourfold. First, we aim to summarize the biochemical and mechanistic foundations of m5C regulation, including key writers, readers, and emerging detection methodologies, while distinguishing RNA m5C from DNA 5-methylcytosine–mediated epigenetic control. Second, we examine the physiological roles of m5C in female development, reproductive function, and pregnancy, emphasizing life-stage– and tissue-specific regulation. Third, we critically evaluate evidence linking dysregulation of m5C machinery to women-predominant disorders, including gynecologic diseases, infertility, and hormone-dependent cancers. Finally, we discuss the translational potential of m5C as a source of biomarkers and therapeutic targets, identify current knowledge gaps, and outline key directions for future research.
By defining these boundaries and goals, this review seeks to provide a conceptual framework for understanding how m5C-mediated epitranscriptomic regulation shapes women’s health and to offer a roadmap for future mechanistic and translational studies in this rapidly evolving field.

2. Molecular Basis of m5C RNA Modification

m5C is an evolutionary conserved post-transcriptional RNA modification formed by the covalent addition of a methyl group to the carbon-5 position of cytidine [45]. This modification occurs across multiple RNA classes, including tRNA, rRNA, mRNA, and lncRNA. It influences RNA structure and function at multiple levels (Figure 1). Unlike DNA 5-methylcytosine, which primarily regulates transcription through chromatin-based mechanisms, m5C modulates gene expression predominantly at the post-transcriptional level, affecting RNA stability, localization, and translation.

2.1. Chemical Nature and Distribution of m5C

At the chemical level, m5C alters base-stacking interactions and RNA secondary structure without disrupting canonical Watson–Crick base pairing. This subtle structural modification enhances RNA stability and modulates the accessibility of RNA-binding proteins and ribonucleoprotein complexes.
m5C is abundant in tRNA and rRNA, where it occupies evolutionarily conserved positions critical for RNA folding and translational fidelity. In contrast, m5C sites in mRNA and lncRNA are less frequent but strategically enriched within coding sequences and untranslated regions (UTR), suggesting roles in regulating transcript stability, localization, and translation efficiency. Transcriptome-wide mapping studies have further revealed that m5C deposition can be cell-type-specific and dynamically regulated across developmental and physiological conditions. These findings indicate that m5C not only contributes to structural RNA integrity but also participates in adaptive gene regulatory programs. Notably, although m5C is enriched at specific transcript regions, the determinants governing site selectivity and functional outcomes remain incompletely understood.

2.2. m5C Writers: RNA Cytosine Methyltransferases

The installation of RNA m5C is catalyzed by SAM–dependent cytosine methyltransferases, primarily members of the NSUN RNA methyltransferase family and DNMT2, which collectively regulate RNA stability, splicing, nuclear export, and translation [46,47]. The NSUN family comprises NSUN1–7, enzymes that share a conserved catalytic cysteine residue that forms a covalent intermediate with the C6 position of cytosine, thereby activating the C5 carbon for methyl group transfer from SAM to generate m5C [48,49]. Individual NSUN proteins display distinct substrate specificities and subcellular localizations: NSUN1 and NSUN5 predominantly modify rRNA; NSUN2 targets tRNA and selected mRNAs; NSUN3 methylates mitochondrial tRNA; and NSUN6 modifies specific cytoplasmic tRNAs, enabling cell type– and context-dependent regulation of m5C deposition [26]. DNMT2 was initially classified as a DNA methyltransferase but is now recognized as primarily methylating tRNA substrates. DNMT2 contributes to tRNA stability and protects transcripts from stress-induced cleavage, thereby supporting translational homeostasis (Figure 1). Emerging evidence suggests that m5C writers may also function within broader epitranscriptomic networks, interacting with other RNA modification systems. For example, coordinated modification of shared transcripts by m5C writers and the METTL3/METTL14 complex, which installs m6A has been observed in transcripts (e.g., p21 mRNA), indicating potential cross-talk between different RNA modification pathways. Collectively, these m5C methyltransferases form a multilayered regulatory network that not only sustains fundamental cellular processes but also contributes to pathological states, including tumor initiation, progression, and adaptation within the tumor microenvironment [50]. However, how substrate specificity is achieved in vivo and how different NSUN enzymes coordinate across tissues remain key unresolved questions.

2.3. m5C Readers: Recognition and Functional Interpretation

The biological functions of RNA m5C are largely mediated by reader proteins that selectively recognize methylated transcripts and translate this epitranscriptomic mark into functional outcomes. Key m5C readers include ALYREF, Y-Box Binding Protein 1 (YBX1), and YTH N6-Methyladenosine RNA Binding Protein F2 (YTHDF2), which regulate RNA stability, nuclear export, translation, and degradation. ALYREF, the first identified m5C reader, recognizes methylated RNA via Lys171 and functions within the transcription–export complex (TREX) to facilitate nuclear export of m5C-modified transcripts, thereby linking methylation to RNA trafficking, splicing, and translational efficiency [18,51,52,53]. YBX1 binds m5C-modified RNA through the Trp45 residue in its cold-shock domain, enhancing transcript stability and promoting processes such as proliferation, migration, and drug resistance in cancer cells [54,55]. YTHDF2, originally characterized as an m6A reader, has also been reported to recognize m5C-modified RNA under specific conditions. Importantly, the specificity of m5C recognition by canonical m6A readers such as YTHDF2 remains an area of active investigation and debate. Notably, m5C recognition by YTHDF2 requires cooperative engagement of multiple key amino acids, suggesting distinct structural requirements compared with m6A binding [26,56]. Collectively, these reader proteins determine the fate of methylated RNAs and contribute to the dynamic regulation of gene expression in development, stress responses, and tumorigenesis, underscoring the importance of m5C recognition in epitranscriptomic control [26,50,53,57].

2.4. m5C Erasers and Modification Dynamics

Although m5C in RNA was initially considered a relatively stable modification, accumulating evidence suggests that it may be dynamically regulated in specific contexts. Proposed m5C “erasers” include members of the Ten-Eleven Translocation (TET) family and AlkB homolog proteins; however, their roles in RNA demethylation remain incompletely established and, in some cases, controversial [26,58,59]. Through demethylation or oxidative modification, these enzymes are implicated in controlling RNA stability, post-transcriptional processing, translation efficiency, and gene expression, thereby influencing cell differentiation, stress responses, and tumorigenesis [19,30].
Among these, TET family enzymes are the most extensively studied. Analogous to their role in DNA demethylation [60], TET proteins catalyze Fe2+- and α-ketoglutarate–dependent oxidation of m5C, generating 5-hydroxymethylcytosine (hm5C), 5-formylcytosine (f5C), and 5-carboxylcytosine (ca5C). These oxidized intermediates can subsequently be repaired or removed, ultimately restoring unmodified cytosine. This stepwise oxidation mechanism provides a potential pathway for reversible m5C regulation in RNA [61]. In contrast, members of the AlkB homolog family (ALKBH) employ a distinct catalytic strategy. While also dependent on Fe2+ and α-ketoglutarate, ALKBH enzymes are proposed to catalyze direct demethylation without generating stable oxidative intermediates, thereby removing the methyl group from m5C and regenerating cytosine via a distinct biochemical route [62]. Collectively, these findings indicate that although both TET and ALKBH enzymes are Fe2+/alpha-ketoglutarate (α-KG)-dependent dioxygenases, ALKBH proteins employ a distinct biochemical route characterized by direct oxidative demethylation rather than by stepwise generation of stable oxidation intermediates, providing an alternative potential mechanism for the reversible regulation of m5C in RNA [26,50,57].

3. Methodologies for Detecting m5C

Accurate detection and quantification of m5C are essential for elucidating its biological functions and disease relevance. Unlike DNA m5C, m5C in RNA presents unique technical challenges due to RNA secondary structure, lower abundance, and the chemical similarity of m5C to unmodified cytidine. Multiple complementary approaches have therefore been developed to map m5C at varying resolutions, each with distinct advantages and limitations.

3.1. Mass Spectrometry

Mass spectrometry (MS), particularly LC–MS/MS, is a gold-standard method for detecting RNA m5C due to its high sensitivity, specificity, and quantitative accuracy. MS operates by measuring the mass-to-charge (m/z) ratios of ionized molecules, enabling precise determination of molecular weight and chemical composition. In the context of RNA modification analysis, RNA is enzymatically digested into individual nucleosides, which are then separated by liquid chromatography and subsequently identified and quantified by tandem mass spectrometry based on their unique fragmentation patterns. This approach allows accurate detection of modified nucleosides, including m5C, with excellent chemical resolution. LC–MS/MS is particularly powerful because it enables simultaneous detection and quantification of multiple RNA modifications within a single analytical run. This multiplexing capability makes it highly suitable for global epitranscriptomic profiling and comparative studies across different biological conditions, tissues, or disease states [63]. These characteristics collectively contribute to its high reproducibility and chemical definitiveness in validating both the presence and relative abundance of m5C in RNA samples.
Despite its chemical precision, mass spectrometry cannot typically provide transcript-specific or single-nucleotide positional information because RNA must be enzymatically hydrolyzed into nucleosides before analysis, thereby losing sequence context. As a result, MS measures global or RNA-class–specific m5C abundance rather than mapping exact modification sites. Furthermore, the method requires specialized instrumentation, technical expertise, and relatively large amounts of input RNA, which may limit its application to low-input or rare cell populations. Sample preparation can also introduce variability and distinguishing isomeric or closely related modifications may require advanced fragmentation strategies. Thus, while MS is highly accurate for quantification, it is not suitable for transcriptome-wide site mapping without complementary approaches [25].

3.2. Antibody-Based Methods

Antibody-based methods for detecting RNA m5C, such as m5C-RNA immunoprecipitation sequencing (m5C-RIP-seq), miCLIP, offer several important advantages for epitranscriptomic profiling. These approaches enable transcriptome-wide enrichment of m5C-containing RNAs without requiring harsh chemical treatments, thereby preserving RNA integrity compared with bisulfite-based methods. They are experimentally straightforward, compatible with standard next-generation sequencing workflows, and adaptable to diverse RNA classes, allowing global mapping of modification patterns across biological conditions. In addition, crosslinking-based adaptations such as miCLIP can achieve near single-nucleotide resolution, improving site specificity while maintaining the benefits of enrichment-based detection. Together, these features make antibody-based approaches scalable, relatively sensitive, and broadly applicable for identifying m5C landscapes in cells and tissues [64,65].
However, antibody-based detection methods for detecting RNA m5C have several notable limitations. First, they are highly dependent on antibody specificity and affinity; cross-reactivity or low specificity can generate false-positive enrichment signals and poor reproducibility across studies. Second, standard RIP-seq approaches provide relatively low resolution, typically identifying broad enriched regions (~100–200 nt) rather than precise single-nucleotide sites. Third, enrichment-based methods are generally semi-quantitative and do not accurately measure modification stoichiometry. In addition, miCLIP and Aza-IP detect only methyltransferase-specific m5C sites and require enzyme overexpression, limiting use to cultured cells and potentially perturbing the endogenous m5 C methylome. These technical constraints can lead to inconsistent m5C maps between datasets and limit confident site validation [66,67].

3.3. Bisulfite Sequencing–Based Approaches

RNA bisulfite sequencing (RNA-BS-Seq) adapts classical DNA bisulfite chemistry to RNA, exploiting the resistance of m5C to bisulfite-mediated deamination. During treatment, unmodified cytidines are converted to uridines, whereas m5C remains unchanged, allowing site-specific detection following reverse transcription and sequencing. RNA-BS-seq offers several significant advantages for detecting m5C in RNA. Most notably, it provides single-nucleotide resolution, enabling precise identification of modified cytosines within specific transcripts. Unlike antibody-based enrichment approaches, RNA-BS-seq is antibody-independent, thereby avoiding issues related to antibody specificity, cross-reactivity, and batch variability. The method also allows for quantitative estimation of methylation levels, as the proportion of cytosine retention at a given site reflects the degree of modification. When coupled with high-throughput sequencing, RNA-BS-seq enables transcriptome-wide analysis, allowing comprehensive mapping of m5C across coding and non-coding RNAs. Furthermore, the underlying bisulfite chemistry is well established and extensively validated in epigenetics research, making the approach technically accessible and adaptable for epitranscriptomic studies [18,66,68,69].
Despite its strengths, RNA-BS-seq has several important limitations. The sodium bisulfite treatment required for cytosine conversion is chemically harsh and often causes substantial RNA degradation, thereby reducing library complexity and transcript coverage. In addition, RNA secondary structures can hinder bisulfite accessibility, resulting in incomplete cytosine conversion and potentially false-positive identification of m5C sites. Even minor inefficiencies in conversion rates may significantly inflate background noise, necessitating rigorous controls and high sequencing depth. Furthermore, RNA-BS-seq cannot reliably distinguish m5C from other cytosine modifications that may also resist bisulfite conversion. The method also requires specialized bioinformatic pipelines and stringent filtering criteria to interpret conversion data accurately. Collectively, these technical challenges underscore the need for complementary validation approaches, such as methyltransferase knockout or orthogonal biochemical assays, to ensure confident m5C site identification [12,68,70].

3.4. Bisulfite-Free, TET-Assisted Chemical Oxidation Sequencing Method for Base-Resolution m5C Detection (m5C-TAC-seq)

m5C-TAC-seq is a bisulfite-free, nano base-resolution sequencing approach for detecting RNA m5C. The method uses TET enzyme–mediated oxidation to convert m5C into f5C, followed by selective chemical labeling and enrichment of oxidized sites. During reverse transcription and sequencing, modified positions generate characteristic C-to-T transitions, enabling direct identification of m5C at single-nucleotide resolution. Because it avoids bisulfite treatment, the method preserves RNA integrity and sequence complexity while allowing transcriptome-wide profiling and functional interrogation of methyltransferases (e.g., NSUN family enzymes). Despite its strengths, m5C-TAC-seq has limitations. The TET-mediated m5C-to-f5C oxidation method is ~50% efficient, so a biotin pull-down is required for sensitivity, limiting m5C-TAC-seq to semi-quantitative analysis and a ≥100 ng RNA input. Variable C-to-T conversion across RNA structures restricts absolute quantification, and further optimization is needed for low-input or single-cell use. Additionally, the method cannot distinguish m5C from hm5C, requiring refinement in contexts with higher hm5C levels [70].

3.5. Nanopore-Based Sequencing for Direct Detection of m5C

In addition to conventional approaches for detecting m5C, nanopore-based sequencing technologies have emerged as a powerful alternative for direct RNA modification analysis. Platforms developed by Oxford Nanopore Technologies enable real-time, single-molecule sequencing without the need for reverse transcription or amplification, thereby preserving native RNA modifications [71]. Recent advances in computational tools, such as Dorado, have further enhanced the capability of nanopore sequencing to accurately detect m5C modifications in RNA molecules. These algorithms leverage characteristic alterations in ionic current signals generated during RNA translocation through nanopores to distinguish modified from unmodified nucleotides [72].
Together, nanopore sequencing combined with improved basecalling models offers a promising, high-resolution approach for transcriptome-wide identification of m5C, expanding the toolkit for studying RNA epigenetic regulation.

4. m5C RNA Modification in Women’s Health: Physiological and Disease Contexts

Epitranscriptomic regulation, including m5C, represents an important layer of post-transcriptional gene control in female reproductive biology. While much of the mechanistic literature has historically focused on N6-methyladenosine (m6A), accumulating evidence indicates that m5C contributes to ovarian development, early embryogenesis, placental biology, hormone-responsive signaling, and reproductive disorders. Although mechanistic depth varies across systems, current findings collectively support a central role for m5C in maintaining reproductive homeostasis and mediating disease susceptibility.

4.1. Physiological Roles of 5-methylcytosine in Ovarian Development, Oogenesis, Folliculogenesis, and Ovulation

Ovarian oogenesis and folliculogenesis depend on tightly coordinated regulation of maternal transcript stability and translation within both oocytes and surrounding granulosa cells. Post-transcriptional regulation ensures proper timing of granulosa cell proliferation, steroidogenesis, and oocyte support. Although detailed mechanistic studies have more extensively characterized m6A [32], broader epitranscriptomic analyses recognize that m5C plays a role in the regulatory networks governing follicular development and reproductive competence [32,33]. Consistent with this, epitranscriptomic profiling across mammalian oocytes has revealed dynamic enrichment of RNA modifications, with relatively high m6A levels and lower but functionally significant m5C levels, coordinated through spatial localization of RNA-modifying enzymes to regulate maternal mRNA stability and translational timing during folliculogenesis and the early embryonic transition [73].
Ovarian folliculogenesis is a delicate and intricate process involving multiple steps throughout life. In females, it begins with oogenesis, which includes primordial germ cell (PGC) formation, specification, migration, proliferation, localization, and the development of primordial follicles (PFs). PGCs originate from the yolk sac and migrate to the genital ridges, where they merge with somatic cells to form undifferentiated gonads. The absence of the Y chromosome and the SRY gene, along with the expression of WNT4 genes in these gonads, results in a female phenotype (ovary). The oogonia (oocytes) are surrounded by a layer of somatic cells (pre-granulosa cells) to form primordial follicles [74]. Primordial follicles in the ovary develop in the cortex of the undifferentiated gonads [75]. The oocytes initiate meiosis, undergo epigenetic reprogramming, and experience X-chromosome inactivation or activation within the fetal ovary, entering prophase I, where homologous chromosomes pair, synapse, and exchange genetic material [76]. A newborn ovary contains only a fraction of the total oocytes that entered meiosis during fetal development. The oocyte remains arrested in the diplotene stage of prophase I until puberty, when folliculogenesis begins. Folliculogenesis involves cyclic recruitment and growth of follicles, marked by nuclear and cytoplasmic maturation that led to oocyte competence and ovulation under the regulation of pituitary and hypothalamic gonadotropin hormones. At puberty, meiosis I (M1) is triggered by an LH surge and results in germinal vesicle breakdown and chromosomal condensation, with the oocyte undergoing an asymmetric cytoplasmic division to produce secondary oocytes arrested at metaphase II and the first polar body [77]. Meiosis II (M2) occurs at fertilization, producing mature oocytes and the second polar body. Hormonal regulation of the ovarian cycle prompts the release of one dominant follicle each month. Several disease processes can interfere with this intricate sequence, leading to reproductive issues and infertility.
Emerging mechanistic studies further highlight that m5C modification serves as a critical regulator of maternal mRNA fate during folliculogenesis and the maternal-to-zygotic transition (MZT). Experimental evidence shows that NSUN5-dependent m5C stabilizes maternal mRNAs during folliculogenesis, and genetic ablation of NSUN5 results in follicular arrest, decreased ovarian function, and impaired embryonic development [78,79].
In parallel, YBX1 has been identified as a crucial m5C reader that binds to and stabilizes modified maternal transcripts, ensuring their availability before translational activation; loss of YBX1 interferes with maternal mRNA decay, alternative splicing, and zygotic genome activation (ZGA), leading to early embryonic arrest [80,81]. Proteomic and functional studies further show that YBX1 acts as a gatekeeper during early follicle development by repressing the translation of maternal mRNAs, with its downregulation enabling the coordinated activation of follicle growth [82]. At the level of translational control, maternal YBX1 also acts as a global translational repressor during oocyte maturation, and its dysregulation leads to excessive protein synthesis and defective embryogenesis [83]. Notably, recent evidence identifies a PGC7–AKT1–YBX1 signaling axis that alleviates YBX1-mediated repression through phosphorylation, thereby promoting maternal mRNA translation and supporting oocyte maturation and early embryonic development [84].
In addition to NSUN5, other m5C methyltransferases such as NSUN2 and NSUN6 contribute to maternal mRNA regulation across species, affecting cell cycle progression, MZT, and the conservation of early developmental programs [85]. Moreover, m5C-dependent RNA–protein interactions are essential for germline stem cell maintenance, as shown by the YBX1 homolog YPS, which selectively recognizes m5C-modified transcripts to regulate stem cell proliferation and differentiation [86]. A recent study found that NSUN2, NSUN5, NSUN6, and YBX1 are expressed in theca and granulosa cells in human ovarian tissue, along with many other genes. However, the mechanisms underlying their function in the ovary and their biological effects remain poorly understood [87].
Taken together, these findings highlight that m5C-mediated epitranscriptomic regulation, through the coordinated actions of writers, readers, and associated signaling pathways, ensures proper timing of maternal mRNA stability, translation, and clearance, thereby safeguarding oocyte quality, follicular development, and early embryonic competence (Table 1).

4.2. Physiological Roles of 5-methylcytosine (m5C) in Fertilization, Early Embryogenesis, and Endometrial Receptivity

Recent advances in in vitro fertilization techniques have enabled a more detailed examination of human embryos. After fertilization, the egg and sperm fuse to form a zygote, a single cell with two pronuclei. The zygote undergoes rapid mitotic divisions from the 2-cell to the 8-cell stage over three days, forming a cleavage-stage embryo. Once the embryo reaches approximately 16 to 32 cells, it forms a compact mass called the morula. The morula continues to divide, differentiate, and accumulate fluid, transforming into the blastocyst. The blastocyst consists of an outer layer of cells that develop into the trophoblast, which will become the placenta, and an inner cell mass that develops into the actual embryo. Fertilization and early embryonic development occur in the fallopian tubes. The blastocyst moves to the endometrial cavity and implants around day 6 or 7 after fertilization. This is followed by gastrulation with further embryonic differentiation and growth [88]. Early embryonic development involves many unique phenomena, including epigenetic programming and the maternal-to-zygote transition. The zygote depends entirely on maternal transcripts present in the egg at fertilization. During this period, the embryo’s DNA remains transcriptionally inactive, and maternal transcripts regulate the earliest stages of development, from initial cell divisions to the morula stage. The Maternal-to-Zygotic Transition (MZT) is characterized by maternal mRNA decay and ZGA. While the role of epigenetic reprogramming during gametogenesis (PGC) and preimplantation embryo development (blastocyst) is well documented, the role of epitranscriptomics throughout the mammalian life cycle remains understudied [89].
m5C plays an essential role during early embryogenesis, particularly in MZT, when control of gene expression shifts from maternal transcripts to the embryonic genome. Cross-species developmental mapping studies demonstrate that NSUN2 and NSUN6 regulate maternal mRNA and cell cycle progression [85]. The m5C reader YBX1 stabilizes modified maternal mRNAs by forming complexes with partners such as PABPC1a, protecting them from degradation and ensuring proper cleavage-stage development [80]. YBX1 also coordinates maternal mRNA decay, alternative splicing, and ZGA, with its loss leading to embryonic arrest at early stages [81]. Functionally, maternal YBX1 acts as a translational repressor to prevent premature protein synthesis, while signaling pathways such as PGC7–AKT1 modulate its activity to enable timely translation during development [84]. This m5C-dependent regulatory mechanism is evolutionarily conserved, as shown by the YBX1 homolog YPS in Drosophila, which controls germline stem cell maintenance and differentiation [86].
Beyond RNA stability and translation, m5C also regulates signaling pathways critical for embryonic development. NSUN5-mediated m5C modification has been shown to influence Hippo signaling by modulating YAP1 nuclear translocation and downstream gene expression, thereby regulating cell proliferation, apoptosis, and lineage specification in preimplantation embryos; NSUN5 depletion significantly reduces blastocyst formation and developmental competence [79]. In parallel, YBX1 has been implicated in regulating ZGA through interactions with m6A machinery, including METTL3 and IGF2BP1, linking m5C readers with other RNA modification pathways that coordinate maternal mRNA decay and embryonic genome activation [90]. Beyond development, m5C mediates fetal responses to environmental stress. For example, carbon black nanoparticle exposure induces fetal lung fibrosis via an NSUN2–m5C mechanism, where YBX1 stabilizes SP1 mRNA, activating DDRGK1 and downstream pathways that promote epithelial–mesenchymal transition (EMT) and abnormal lung development [91].
Differentiated cell nuclei can be reprogrammed through nuclear transfer (NT) into oocytes, resulting in cloned embryos. However, NT embryo development is frequently impeded by reprogramming failures, including incomplete activation of developmentally essential genes. Among H3K9me3-repressed, reprogramming-resistant loci, the m5C regulator ALYREF was identified as a critical factor. CRISPR/Cas9-mediated knockout of Alyref in mouse NT embryos caused early developmental arrest. Mechanistically, ALYREF is required for proper inner cell mass formation by regulating Nanog, and its supplementation via mRNA restores efficient preimplantation development. The partial silencing of Alyref in NT embryos is associated with H3K9me3-mediated repression of Klf16 [92]. These findings highlight that failure to activate key m5C regulators can impair early embryonic development, emphasizing the essential role of coordinated epigenetic and epitranscriptomic control during preimplantation stages.
Endometrial receptivity denotes the window of implantation, during which the endometrial lining undergoes decidualization under the influence of progesterone in preparation for embryo implantation. Many genetic, epigenetic, and immune factors contribute to the establishment of a receptive endometrium that supports embryo adhesion, attachment, invasion, and placentation [93]. Emerging evidence indicates that m5C modification also plays a critical role in regulating endometrial function. In human endometrial tissues and in vitro models, NSUN2-mediated m5C methylation modulates gene expression, alternative splicing, and chromatin states through crosstalk with histone modifications. Specifically, NSUN2 overexpression promotes exon skipping of key genes such as STAT1 and MMP14 and enhances CLDN4 expression via SIRT4/H3K9ac signaling, ultimately impairing embryo attachment and reducing endometrial receptivity [94].
Taken together, accumulating evidence across multiple model systems, including zebrafish, mice, and humans, supports a conserved role for m5C in regulating maternal mRNA stability, translational control, and developmental signaling pathways during fertilization, early embryogenesis, and implantation. Dysregulation of these processes, including the failure to activate H3K9me3-repressed, developmentally essential m5C regulator genes such as Alyref, can impair ZGA, disrupt embryo development, and compromise endometrial receptivity, ultimately contributing to reproductive failure (Table 1).

4.3. Polycystic Ovary Syndrome

Polycystic ovary syndrome (PCOS) provides direct mechanistic evidence linking m5C dysregulation to inflammatory ovarian pathology. PCOS is characterized by ovarian dysfunction, chronic low-grade inflammation, and metabolic disturbance. A recent study identified NSUN7 as a critical m5C writer in granulosa cells [95]. NSUN7 enhances m5C methylation of NLR family pyrin domain containing 3 (NLRP3) mRNA, increasing its stability and promoting inflammasome activation and pyroptotic cell death. Silencing NSUN7 reduces NLRP3 expression, attenuates granulosa cell pyroptosis, restores hormonal balance, and ameliorates disease progression in PCOS models. This work establishes the NSUN7–NLRP3 axis as a direct epitranscriptomic driver of inflammatory injury in PCOS (Table 1).

4.4. Premature Ovarian Insufficiency

Premature ovarian insufficiency (POI) is characterized by an accelerated depletion of primordial follicles, leading to the loss of normal ovarian function before age 40. Although the cause of POI remains unknown in many cases, some instances are associated with chromosomal abnormalities and genetic mutations [96]. More than 100 genes, including mutations on the X chromosome and autosomes, have been associated with POI [97].
Emerging evidence suggests that epitranscriptomic regulation, particularly m5C RNA methylation, plays a critical role in ovarian dysfunction linked to POI. In human granulosa cells, YBX1 has been identified as a key m5C reader that stabilizes m5C-modified transcripts of cell cycle–related genes; loss of YBX1 leads to destabilization of these transcripts, impaired G1–S transition, and causes granulosa cell cycle arrest, ultimately contributing to ovarian dysfunction and POI development [98]. Additionally, oxidative stress–induced ovarian damage is a significant mechanism underlying POI. DNMT2-mediated m5C modification has been shown to protect granulosa cells from reactive oxygen species (ROS)-induced DNA damage and apoptosis by facilitating DNA repair processes; disruption of this pathway compromises cell survival and accelerates ovarian failure [99].
Recent studies further highlight therapeutic potential through m5C-dependent pathways. In models of oxidative stress–induced ovarian dysfunction, exosome-derived YBX1 cooperates with DNMT2-mediated m5C modification to stabilize key mitochondrial transcripts such as Cytochrome C Oxidase Suunit 5B (COX5B), thereby reducing ROS accumulation, improving mitochondrial function, and alleviating granulosa cell senescence [100]. Collectively, these findings indicate that dysregulation of m5C-mediated RNA stability and stress response pathways contributes to granulosa cell dysfunction and follicular depletion, providing new mechanistic insights into the pathogenesis of POI (Table 1). These findings suggest that targeting m5C regulatory pathways may represent a novel therapeutic strategy for PCOS.

4.5. Pregnancy and Placental Biology: Preeclampsia as a Model Disorder

Pregnancy imposes profound transcriptional and post-transcriptional demands, particularly within the placenta, where trophoblast differentiation, vascular remodeling, and immune adaptation must be precisely coordinated. Emerging transcriptome-wide m5C profiling studies demonstrate altered m5C peak distribution in placental tissues from preeclampsia compared with normotensive pregnancies [101]. These changes are associated with dysregulated DNMT3B and TET3 expression and with perturbations in MAPK/cAMP signaling and hypoxia- and inflammation-related pathways, suggesting that m5C reprogramming contributes to placental dysfunction.
Further evidence from decidual tissues indicates that aberrant m5C methylation alters expression of genes involved in decidualization, disrupting key signaling pathways required for proper implantation and placental development [102]. Consistent with this concept, recent work has shown that NSUN2-mediated m5C methylation regulates genes involved in endometrial receptivity and decidualization, thereby influencing implantation success and early pregnancy establishment. These findings highlight an emerging role of RNA methylation in coordinating endometrial remodeling and maternal-embryo interactions during gestation [94].
Mechanistic studies strengthen the causal link between m5C and trophoblast function. Under hypoxic conditions, ALKBH1-mediated m5C demethylation destabilizes Proteasome 26S Subunit, Non-ATPase 14 (PSMD14) mRNA, thereby impairing trophoblast migration and invasion [103]. Conversely, enoxaparin treatment has been shown to activate the NSUN2/m5C/PAX3 axis, stabilizing PAX3 mRNA and restoring trophoblast function in vitro and in mouse models of preeclampsia, thereby improving hypertension, proteinuria, and placental injury [104]. These findings position m5C as a functional regulator of trophoblast invasion and placental homeostasis.
The placenta also functions as a central mediator of maternal–fetal communication. Placenta-derived microRNAs are packaged into extracellular vesicles (EVs) and transported into maternal circulation, where they regulate immune and metabolic adaptation [105]. RNA modifications influence RNA stability, export, and intercellular signaling capacity. Although direct evidence for m5C-modified extracellular vesicle RNAs remains limited, emerging perspectives propose that maternal environmental factors may shape fetal phenotypes through epitranscriptomic mechanisms, potentially including m5C [106] (Table 1).
Table 1. m5C RNA Modifications in Female Fertility, Benign Gynecology, and Pregnancy.
Table 1. m5C RNA Modifications in Female Fertility, Benign Gynecology, and Pregnancy.
Reproduction and DevelopmentSample TypesApproachesMechanismBiological EffectsPublication DateRef.
Embryonic developmentMammalian ovarian follicles and oocytes (mouse, pig, and cow)Immunofluorescence and confocal microscopy to localize RNA modification machinery, assessment of m6A and m5C abundance in oocyte vs. somatic mRNAEpitranscriptomic regulation of maternal mRNAs involves enzyme localization, with high m6A and lower m5C levels, controlling mRNA stability and translation during folliculogenesis and early embryonic transition.Regulation of maternal mRNA stability and utilization, coordination of oocyte maturation and follicle development, and establishment of species-specific control of early embryonic development during transcriptional silencingMay, 2023[73]
Ovarian dysfunction with reduced follicle count and ovarian agingNsun5 KO mouse ovaries/oocytes and human granulosa-like tumor cell line (KGN) cellsm5C profiling, mRNA stability and splicing analysis, and functional validationNSUN5-dependent m5C stabilizes maternal mRNAs and regulates translation during folliculogenesis and MZTFollicular arrest, reduced ovarian function, and impaired embryonic developmentDec, 2022[78]
Early embryonic development (mouse preimplantation embryos)Mouse preimplantation embryos (two-cell to blastocyst stages)siRNA-mediated knockdown of Nsun5; assessment of blastocyst formation, cell number, apoptosis, lineage markers (CDX2/OCT4), and YAP1 localizationNSUN5 regulates Hippo signaling by affecting YAP1 nuclear translocation and expression of LATS1/2, likely via m5C-dependent RNA regulationNsun5 depletion reduces blastocyst formation, cell proliferation, and differentiation, increases apoptosis, and disrupts lineage specificationMay, 2024[79]
Early embryogenesisZebrafish early embryosGenome-wide m5C mapping and YBX1-mediated RNA interaction analysism5C-modified maternal mRNAs are preferentially recognized by YBX1 through specific residue-mediated interactions, and together with Pabpc1a, YBX1 stabilizes these transcripts, thereby preventing their degradation during the MZT.Maintains maternal mRNA stability and ensures successful early embryonic development during the transition from maternal to zygotic control.Sep, 2019[80]
Early embryonic development during pre-implantationMouse, human, bovine, and goat pre-implantation embryos; 8-cell stage embryos used for YBX1 knockdown studiesRNA-seq analysis of public datasets and YBX1 knockdown embryos (siRNA microinjection), differential gene expression analysis, alternative splicing (AS) analysis, enrichment analysis, 5-EU staining, and immunofluorescenceYBX1 regulates maternal mRNA stability and alternative splicing, mediates decay of maternal transcripts, and supports transcriptional activation during MZTYBX1 ensures maternal mRNA decay, splicing, and ZGA; its knockdown arrests embryos at 2–4 cells with impaired decay and reduced blastocyst formation.Feb, 2022[81]
Zebrafish folliculogenesis Zebrafish ovarian follicles at primary growth (PG) and secondary growth (SG) stagesProteomic analysis of folliculogenesis (PG–SG transition), gene/protein expression profiling, phylogenetic analysis, and functional characterization of YBX1 YBX1 stabilizes and represses maternal mRNAs in early follicles; its downregulation releases these mRNAs for translation, enabling follicle activation.Maintenance of early follicle development through mRNA stabilization and translational repression, followed by activation of follicle growth via coordinated mRNA translation Oct, 2023 [82]
Embryonic developmentZebrafish oocytes and early embryos (maternal ybx1 mutant and knockdown models)Genetic knockout (null allele) and morpholino knockdown of YBX1, assessment of oocyte maturation and embryogenesis, translation activity assays, and rescue experiments via translational inhibitionMaternal YBX1 functions as a global translational repressor by associating with target mRNAs and processing body components, thereby limiting protein synthesis during oocyte maturation and early embryogenesisYBX1 ensures oocyte maturation and MZT; its loss causes increased translation, stress response activation, and defective early embryonic development.Oct, 2018[83]
Oocyte maturation and early embryonic developmentMouse oocytes; maternal mRNA; genetic and molecular perturbation modelsFunctional studies including PGC7 depletion, protein interaction assays, phosphorylation analysis, translation assays, and AKT signaling pathway investigationPGC7 promotes maternal mRNA translation by enabling AKT1 to phosphorylate YBX1, releasing translational repression on target mRNAs and forming the PGC7–AKT1–YBX1 axis.Enhanced translation of maternal mRNAs, proper oocyte maturation, and support of early embryonic development through activation of key regulatory proteinsDec, 2024 [84]
Embryonic developmentEmbryos across multiple species including Drosophila and humansDevelopmental m5C mapping, evolutionary comparison, and functional genetic studiesNSUN2/NSUN6-mediated m5C regulates maternal mRNA dynamics during early embryogenesisControls cell cycle progression, maternal-to-zygotic transition, and evolutionary innovation of mRNA regulationMay, 2022 [85]
Ovarian germ line stem cell developmentDrosophila ovarian germ line stem cells (GSCs); germ cells;Loss- and gain-of-function of YPS, RNA-binding assays, m5C recognition analysis, cross-species rescue experiments with YBX1, and structural analysis of protein–RNA interactionsThe YBX1 homolog YPS preferentially recognizes and binds m5C-modified RNAs via conserved cold-shock domains, enabling selective regulation of target mRNAs required for germ line stem cell maintenance and differentiationPromotion of germ line stem cell maintenance, proliferation, and differentiation in the ovary; disruption of m5C binding impairs normal stem cell developmentFeb, 2020[86]
Early zygotic developmentPorcine embryos, from the one-cell stage to blastocyst stageKnockdown of YBX1 using siRNA microinjection at the one-cell stage; additional knockdown of IGF2BP1 to study mechanistic links. Analysis included mRNA expression, histone modification, and blastocyst formation rate.YBX1 regulates ZGA through m6A RNA modification by modulating the levels of the m6A writer METTL3 and m6A reader IGF2BP1, affecting maternal mRNA decay and ZGA gene expressionYBX1 knockdown impairs blastocyst formation and ZGA by increasing maternal mRNA and disrupting m6A-mediated regulationJul, 2023 [90]
Fetal pulmonary fibrosis induced by maternal exposure to carbon black nanoparticlesIn vivo pregnant rat exposure model with analysis of offspring lung tissues, as well as ex vivo lung epithelial cellsAnimal exposure experiments, cell-based assays, gene expression and transcriptional regulation analyses, and functional studies to evaluate EMT, reticulophagy, and m5C RNA methylationNSUN2-mediated m5C methylation enhances the stability of SP1 mRNA through recognition by YBX1, leading to increased SP1 protein expression; SP1 then transcriptionally activates DDRGK1, which interacts with FAM134B to promote reticulophagy, thereby driving EMT-associated fibrotic processes.Increased reticulophagy, enhanced EMT, and aggravated fibrosis in offspring lung tissue following maternal nanoparticle exposureMar, 2025 [91]
Early development arrestMouse nuclear transfer embryosH3K9me3 profiling to identify reprogramming-resistant genes, siRNA screening, CRISPR/Cas9 knockout of candidate genes, and mRNA supplementation experimentsALYREF regulates Nanog to support proper inner cell mass formation, Alyref geneis partially silenced due to H3K9me3-mediated repression of Klf16Knockout of Alyref results in early developmental arrest, whereas supplementation of its mRNA promotes efficient preimplantation development of cloned embryosAug, 2023[92]
Recurrent Implantation. Failure, endometrial decidualizationHuman endometrial tissues from proliferative and secretory stages, along with in vitro models including Ishikawa cells and BeWo spheroids to simulate embryo attachment.Single-cell RNA-seq analysis, m5C-BS-seq, and dot blot assays to assess m5C levels, embryo attachment by Ishikawa–BeWo co-culture, with mechanisms further examined using Cut&Tag and co-immunoprecipitation.NSUN2-mediated m5C regulates gene expression and splicing. Its overexpression increases STAT1 and MMP14 via exon skipping and enhances CLDN4 expression by modulating SIRT4 and H3K9ac, linking RNA methylation to histone modification.NSUN2 overexpression promotes proliferation and autophagy while reducing embryo attachment, impairing endometrial receptivity and contributing to recurrent implantation failure.Apr, 2024[94]
PCOSPCOS patient samples, lipopolysaccharide (LPS)-treated KGN granulosa cell line; PCOS rat model ovaries and primary granulosa cellsLPS-induced pyroptosis model, ELISA, flow cytometry, Western blotting, MeRIP, dual-luciferase assay, actinomycin D treatment, and in vivo hormone analysis.NSUN7 mediates m5C methylation of NLRP3 mRNA, enhancing its stability and promoting pyroptosis in granulosa cells.Silencing NSUN7 reduces granulosa cell pyroptosis, restores hormone balance, and attenuates PCOS progression; NLRP3 overexpression reverses these protective effects.Oct, 2025[95]
Primary ovarian insufficiency Human granulosa cells (GCs) from POI patients, KGN human granulosa cell lineYBX1 knockdown and overexpression, Transcriptome and m5C methylome profilingYBX1 stabilizes m5C-modified transcripts of cell cycle–related genes. Loss of YBX1 destabilizes these transcripts in an m5C-dependent manner, leading to impaired G1–S transition and cell cycle arrest.Reduced granulosa cell proliferation,
cell cycle arrest (G1 phase), granulosa cell dysfunction, contributes to POI pathogenesis
May, 2025[98]
Premature ovarian failure.Granulosa cells exposed to reactive oxygen species (ROS), particularly through H2O2-induced oxidative stress modelsDNMT2 overexpression and mutational analysis, along with assays to evaluate ROS levels, DNA damage, apoptosis, and RNA m5C methylation activityROS induces nuclear translocation of DNMT2, which facilitates DNA damage repair in an m5C methylation–dependent manner, whereas impaired DNMT2 activity reduces RNA m5C modification and compromises DNA repair capacityDNMT2 reduces ROS-induced DNA damage and apoptosis in granulosa cells, thereby protecting against cell death and contributing to the prevention or alleviation of premature ovarian failure.Jun, 2021[99]
Premature ovarian insufficiency (ROS-induced ovarian dysfunction and granulosa cell senescence)Human granulosa cells (GCs) under oxidative stress, human umbilical cord mesenchymal stem cell-derived exosomes (HuMSCs-Ex)Exosome-based therapeutic treatment combined with molecular, biochemical, and functional assays to investigate m5C RNA modification, including relevant analyses of DNMT2, YBX1, and COX5B DNMT2 catalyzes m5C modification on COX5B mRNA, which is recognized by exosome-delivered YBX1 that directly binds and stabilizes the transcript, thereby promoting its translation in an m5C-dependent mannerReduced ROS accumulation, improved mitochondrial function, decreased granulosa cell senescence, and overall alleviation of oxidative damage associated with POIMay, 2025 [100]
Preeclampsiaplacental tissues from normotensive pregnancies and preeclampsia patientsUMI-MeRIP-Seq transcriptomic m5C profiling and pathway enrichment analysisDysregulated m5C distribution and altered DNMT3B/TET3 expression affect MAPK/cAMP and hypoxia/inflammatory pathwaysContributes to placental dysfunction and PE-associated immune and hypoxic responsesFeb, 2023[101]
PreeclampsiaHuman decidual tissue from PE and normal pregnancyMeRIP-seq and RNA-seq with integrative bioinformatics, pathway analysis, and qPCR validationAberrant m5C methylation alters mRNA expression of decidualization-related genes, disrupting key signaling pathways in PEDistinct methylation and gene expression signatures, identification of PE-associated genes, and impaired decidualization collectively contribute to disease development.Nov, 2023[102]
PreeclampsiaHypoxia-treated trophoblast cellsALKBH1 modulation with functional assays and m5C/RNA interaction analysesALKBH1-mediated m5C demethylation destabilizes PSMD14 mRNA, impairing trophoblast function ALKBH1-mediated m5C demethylation destabilizes PSMD14 mRNA, impairing trophoblast functionReduced trophoblast viability, migration, and invasion contributing to PE pathogenesisMar, 2025[103]
PreeclampsiaHypoxic trophoblast cells, PE placentas, and PE miceEnoxaparin treatment with m5C analysis, NSUN2/PAX3 interaction assays, and functional validation in vitro and in vivoEnoxaparin activates the NSUN2/m5C/PAX3 axis to stabilize PAX3 mRNA and restore trophoblast functionImproved trophoblast activity and amelioration of PE-associated hypertension, proteinuria, and placental injuryNov, 2025[104]
Across physiological development and reproductive disease, m5C functions as a regulator of RNA stability, translational efficiency, inflammatory signaling, trophoblast invasion, placental vascular integrity, and hormonal responsiveness. Mechanistic evidence is strongest in early embryogenesis, preeclampsia, and PCOS, while emerging data suggests broader roles in endometriosis and fibroid biology. Collectively, current findings position m5C as a critical layer of post-transcriptional control in women’s reproductive health, integrating developmental timing, immune regulation, endocrine signaling, and disease susceptibility.

5. m5C in Women-Specific Cancers

Emerging evidence implicates dysregulation of m5C RNA modification in the initiation, progression, and therapeutic resistance of multiple cancers that disproportionately affect women. Alterations in the expression or activity of m5C writers and readers can reshape post-transcriptional gene regulation, promoting oncogenic phenotypes such as uncontrolled proliferation, invasion, and immune evasion. Given the strong influence of hormonal signaling in many female cancers, m5C-mediated RNA regulation represents a critical intersection between epitranscriptomics and hormone-dependent tumor biology.

5.1. Breast Cancer

m5C RNA methylation plays a central and multifaceted role in breast cancer (BC), integrating transcriptional regulation, subtype specification, metabolic reprogramming, tumor progression, and therapeutic resistance. Among m5C writers, the RNA methyltransferase NSUN2 is the most extensively characterized in BC. NSUN2 is frequently overexpressed in breast tumors and correlates with increased tumor growth, metastasis, and poor patient prognosis. Mechanistically, NSUN2-mediated m5C deposition enhances the stability and translational efficiency of mRNAs encoding oncogenic and cell-cycle–related proteins, thereby promoting proliferative and survival advantages. In addition, NSUN2 contributes to stress adaptation and therapy resistance, thereby supporting tumor plasticity in hostile microenvironments [17,25,107,108].
At the molecular level, the NSUN2/YBX1 axis represents a core regulatory mechanism. NSUN2 functions as an m5C “writer,” while YBX1 acts as a key “reader,” recognizing m5C-modified transcripts and enhancing their stability and translation. Transcriptome-wide analyses reveal subtype-specific m5C methylation landscapes that reshape gene expression networks and increase global protein synthesis [107,109]. Expanding this framework, NSUN6 has recently been shown to catalyze high-stoichiometry, site-specific m5C modification on a subset of mRNAs harboring CUCCA motifs within stem–loop structures. These modified transcripts are preferentially recognized by m5C readers YBX1 and YBX3, resulting in enhanced mRNA stability and increased BC cell migration, highlighting a cooperative NSUN6–YBX1/YBX3 regulatory axis with potential implications for therapeutic mRNA stabilization [110]. In triple-negative BC (TNBC), NSUN2 also modifies tRNAs, promoting codon-biased translation of glycolysis-related genes, driving metabolic rewiring, invasion, and docetaxel resistance [108] (Table 2).
BC subtypes differ markedly in their dependence on estrogen and progesterone signaling, and m5C regulation appears to vary accordingly [146]. In hormone receptor–positive tumors, estrogen signaling influences RNA metabolism and may indirectly modulate expression or activity of m5C machinery. Early mechanistic studies further demonstrated that NFIB and YBX1 interact with the ESR1–FOXA1 transcriptional complex, suppressing ESR1 transactivation and promoting an estrogen-independent phenotype [111], thereby contributing to endocrine escape and progression toward ER-negative states. In contrast, hormone receptor–negative and TNBC subtypes exhibit heightened reliance on post-transcriptional regulation, including RNA modification pathways, to sustain aggressive behavior, suggesting that m5C may represent a subtype-specific vulnerability.
Beyond primary tumor progression, m5C signaling plays a pivotal role in metastatic dissemination. In BC brain metastasis (BCBM), NSUN2 mediates m5C methylation of circRNAs such as hsa_circ_0004516, enhancing their stability in a catalytic-dependent manner and activating AKT signaling, thereby establishing the NSUN2–m5C–circRNA–AKT axis that promotes proliferation, migration, invasion, and brain metastatic progression [112]. In parallel, NSUN2-mediated m5C modification of PSD4 mRNA enhances its stability and nuclear export via YBX1 binding, leading to ferroptosis resistance, vasculogenic mimicry, and metastatic outgrowth through the NSUN2–m5C–PSD4–ferroptosis axis [113]. Similarly, in BC bone metastasis, NSUN2 regulates tumor–bone microenvironment interactions through epitranscriptomic control. NSUN2-mediated m5C modification of KDM6B mRNA promotes its PPIA-dependent degradation, resulting in downstream NUMB hypermethylation, activation of Notch signaling, and upregulation of RANKL. This NSUN2–KDM6B–Notch axis enhances osteoclast differentiation and drives osteolytic bone metastasis, underscoring the role of m5C in metastatic niche remodeling [114].
Beyond transcriptional adaptation, m5C-dependent signaling intersects with major oncogenic pathways regulating and autophagyolism and autophagy. In TNBC, SAT1 stabilizes YBX1 via deubiquitination, reinforcing m5C-mediated stabilization of mTOR mRNA and suppressing autophagy, thereby promoting tumor aggressiveness [115]. Moreover, elevated m5C levels contribute to endocrine resistance, as NSUN7-mediated reprogramming enhances tamoxifen resistance, migration, clonogenicity, and poor prognosis [116]. Notably, NSUN6 demonstrates context-dependent functions, acting as a potential tumor suppressor in ovarian cancer (OC) but promoting migration in BC, highlighting tissue-specific m5C regulatory dynamics [117].
Collectively, m5C reprogramming in BC drives estrogen-dependent and estrogen-independent, subtype-specific transcriptional adaptation, metabolic remodeling, enhanced proliferation and metastasis, autophagy suppression, and resistance to chemotherapy and endocrine therapy. Its additional roles in regulating circRNA stability, ferroptosis resistance, and tumor–microenvironment interactions further expand its importance in metastatic progression. These findings position m5C regulatory pathways as promising targets for precision therapeutic strategies across BC subtypes (Table 2).

5.2. m5C in Gynecologic Malignancies

5.2.1. Ovarian Cancer

OC is characterized by marked molecular heterogeneity and extensive dysregulation of RNA processing pathways, including m5C-mediated epitranscriptomic remodeling. Elevated expression of m5C writers, particularly NSUN2, has been consistently associated with enhanced proliferation, invasion, metastasis, and chemoresistance in OC models. Large-scale TCGA-based analyses further demonstrate that expression of m5C regulators defines distinct molecular subtypes with differential survival outcomes and immune microenvironments [118,119,120,121]. Aberrant m5C patterns reshape key oncogenic pathways, including Wnt/β-catenin, PI3K–Akt, focal adhesion signaling, and metabolic networks, thereby contributing to tumor progression and interpatient heterogeneity.
An identified oncogenic mechanism in OC is the NSUN2–YBX1 positive feedback loop. NSUN2 mediates m5C methylation of E2F1 mRNA, which is recognized by the m5C reader YBX1. This interaction promotes YBX1 phase separation and enhances E2F1 translation. In turn, E2F1 transcriptionally activates NSUN2, forming a self-amplifying loop that drives oncogenic transcriptional programs, including activation of MYBL2 and RAD54L, thereby accelerating tumor progression [122] (Figure 2).
Recent studies further expand the m5C regulatory landscape in OC. Multi-omics analyses of TCGA datasets identified epigenetic (m5C/m6A/m1A/m7G)-related immune lncRNA signatures that stratify prognostic subtypes and predict immune checkpoint and chemotherapy responses [123]. Comprehensive m5C profiling of lncRNAs in high-grade serous ovarian cancer (HGSOC) tissues demonstrated widespread dysregulation of m5C peaks, which altered PI3K–AKT and other cancer-related signaling pathways and were associated with increased tumor growth, invasion, and metastasis, as well as poor prognosis [124]. In HGSOC, NSUN1 overexpression increases global m5C methylation and enhances RAPGEF4 expression, thereby activating pro-tumorigenic signaling and promoting proliferation, migration, and invasion, supporting its potential as a diagnostic biomarker [125]. In anesthetic-associated tumor progression, sevoflurane exposure promotes DNMT2-mediated m5C modification of APC mRNA, activating β-catenin signaling and enhancing malignant behaviors, including proliferation, invasion, and tumor growth [126]. Moreover, ALYREF stabilizes m5C-modified BIRC5 mRNA to drive oncogenic processes, promoting OC proliferation, migration, invasion, glycolysis, and tumor growth, whereas its knockdown suppresses malignancy [127]. In addition to stabilizing oncogenic transcripts, ALYREF functions as a canonical m5C reader that facilitates nuclear export of methylated RNAs, thereby coupling RNA cytosine methylation to post-transcriptional RNA trafficking and translational efficiency in OC cells.
m5C modification also plays a pivotal role in platinum resistance in OC. Multiple mechanisms converge on the m5C–YBX1 axis: YBX1 binds m5C-modified CHD3 to enhance homologous recombination repair [128]; ALYREF stabilizes m5C-modified LGR4, activating Wnt/β-catenin signaling [129]; and YBX1/MATR3 cooperate to stabilize CCNL2, promoting cisplatin resistance [130]. Conversely, SIAH1-mediated ubiquitination of YBX1 promotes its degradation and reverses chemoresistance [131], underscoring YBX1 as a central determinant of therapeutic response in OC.
In addition to proliferation and drug resistance, m5C remodeling shapes the tumor immune microenvironment. m5C-related lncRNA signatures stratify patients by prognosis and immune infiltration patterns [132], while NSUN2-mediated stabilization of SNHG15 enhances PD-L1 expression and promotes immune evasion [133].
Collectively, m5C reprogramming in OC promotes oncogenic transcriptional amplification, DNA repair capacity and platinum resistance, immune escape, metabolic adaptation, EMT, ferroptosis suppression, and β-catenin pathway activation. These findings position the NSUN2–YBX1 axis and broader m5C regulatory networks as promising therapeutic and prognostic targets in ovarian malignancies (Table 2).

5.2.2. Endometrial Cancer

Endometrial cancer (EC) arises in a hormonally responsive tissue that undergoes cyclical remodeling, rendering it particularly sensitive to post-transcriptional regulatory mechanisms. Emerging evidence indicates that m5C epitranscriptomic reprogramming plays a significant role in endometrial tumorigenesis by influencing RNA stability, translational control, ferroptosis regulation, and immune modulation. Aberrant expression of m5C machinery has been linked to dysregulated cell-cycle progression and inflammatory signaling pathways, suggesting that m5C modification may act as a molecular integrator of hormonal exposure, metabolic dysfunction, and oncogenic signaling in this estrogen-responsive malignancy [135].
A key mechanism in EC involves the NSUN2–YBX1–SLC7A11 axis. NSUN2-mediated m5C methylation stabilizes SLC7A11 transcripts through YBX1 recognition, suppressing ferroptosis and enhancing tumor cell survival and proliferation [135] (Figure 2). By promoting resistance to oxidative stress–induced cell death, this pathway supports tumor growth and therapeutic resistance, highlighting regulation of ferroptosis as a key functional consequence of m5C remodeling in EC.
Beyond intrinsic tumor growth control, m5C-related lncRNA signatures have demonstrated significant prognostic and immunologic relevance. Integrative transcriptomic analyses reveal that m5C-associated lncRNA expression profiles can stratify patients according to overall survival and are positively correlated with tumor grade, PD-L1 expression, and distinct immune cell infiltration patterns [134,136]. These observations indicate that m5C modification not only drives tumor cell proliferation and ferroptosis resistance but also contributes to remodeling of the tumor immune microenvironment, potentially influencing immune evasion and responsiveness to immunotherapy. Altered m5C landscapes may therefore shape cytokine signaling, checkpoint regulation, and interactions between tumor cells and infiltrating lymphocytes or macrophages in EC.
Collectively, m5C dysregulation in EC promotes sustained proliferation, resistance to ferroptotic cell death, metabolic resilience, and immune modulation. These converging effects position m5C regulatory networks as promising biomarkers for prognostic stratification and as potential therapeutic targets in this hormonally and metabolically influenced malignancy (Table 2).

5.2.3. Cervical Cancer

Cervical cancer (CC), primarily cervical squamous cell carcinoma and cervical adenocarcinoma arising from the transformation zone of the uterine cervix, is closely associated with persistent high-risk human papillomavirus (HPV) infection [147]. This gynecologic malignancy exhibits highly active m5C-dependent epitranscriptomic reprogramming that influences tumor progression, therapy resistance, regulation of ferroptosis, and immune modulation. Given the viral etiology of this epithelial cancer, m5C dysregulation may affect both host and viral RNA metabolism, potentially regulating viral transcript stability and translation as well as host antiviral immune responses. Altered m5C patterns may therefore contribute to viral persistence, immune evasion, and malignant transformation of cervical epithelial cells [137] (Figure 2).
An identified oncogenic mechanism in cervical carcinoma involves the NSUN2–YBX1 axis, in which NSUN2-mediated m5C methylation stabilizes multiple oncogenic transcripts through YBX1 recognition. Key targets include LRRC8A [138], LINC01094 [139], and KRT13 [137], whose stabilization enhances tumor cell proliferation, EMT, metastatic potential, and resistance to apoptosis. These findings position NSUN2-driven m5C deposition as a major driver of aggressive phenotypes in HPV-associated cervical tumors.
m5C modification also contributes substantially to therapeutic resistance in CC. NSUN6-mediated m5C stabilization of NDRG1 via the reader protein ALYREF enhances homologous recombination–mediated DNA repair, promoting radioresistance in patients receiving radiotherapy [140]. Under hypoxic tumor microenvironment conditions, ALYREF further stabilizes KIF20A in an m5C-dependent manner, activating BUB1 and inducing ferroptosis resistance [141]. Additionally, m5C stabilization of SERPINB5 promotes activation of mitotic regulator and chemoresistance to agents such as paclitaxel and vincristine, effects that can be reversed upon target depletion [142].
Beyond intrinsic tumor growth and resistance mechanisms, m5C regulator–based clustering analyses in CC cohorts define molecular subtypes with distinct prognostic outcomes, immune infiltration patterns, and predicted responses to immunotherapy [143,144,145]. These data indicate that m5C remodeling in this HPV-driven gynecologic carcinoma not only drives EMT, metastasis, and radio- and chemoresistance, but also reshapes the tumor immune microenvironment.
Collectively, m5C reprogramming in CC integrates viral–host RNA regulation with oncogenic signaling, ferroptosis suppression, DNA repair enhancement, and immune modulation, highlighting m5C regulatory networks as promising therapeutic and prognostic targets in HPV-associated cervical malignancies (Table 2).

6. m5C RNA Modification in Metabolic and Cardiovascular Health in Women

Figure 3. Epitranscriptomic regulation of cardiovascular pathology by m5C RNA methylation. Left panel: In vascular endothelial cells, the RNA methyltransferase NSUN2 deposits m5C modifications on ICAM-1 mRNA, enhancing its translational efficiency. Elevated ICAM-1 expression strengthens leukocyte adhesion to the endothelial surface, initiating a pro-inflammatory vascular niche that promotes sustained immune cell recruitment. This inflammatory amplification contributes to endothelial dysfunction and accelerates atherosclerotic lesion development [148]. Middle panel: In the myocardium, DNMT2 acts as a regulatory brake on transcriptional activation through stabilization of the inhibitory 7SK–P-TEFb complex. Loss of DNMT2 decreases 7SK m5C, and promotes dissociation of 7SK, resulting in hyperactivation of P-TEFb–dependent transcriptional programs that drive cardiomyocyte growth. This epitranscriptomic deregulation leads to maladaptive cardiac hypertrophy in the mouse model [149]. Right panel: In abdominal aortic aneurysm (AAA), coordinated upregulation of m5C regulators (NSUN2, NSUN5) and the reader protein ALYREF reshapes immune-associated RNA regulatory networks. Aberrant m5C signaling enhances macrophage infiltration and inflammatory remodeling of the aortic wall, establishing a self-reinforcing inflammatory microenvironment that accelerates aneurysm progression [150].
Figure 3. Epitranscriptomic regulation of cardiovascular pathology by m5C RNA methylation. Left panel: In vascular endothelial cells, the RNA methyltransferase NSUN2 deposits m5C modifications on ICAM-1 mRNA, enhancing its translational efficiency. Elevated ICAM-1 expression strengthens leukocyte adhesion to the endothelial surface, initiating a pro-inflammatory vascular niche that promotes sustained immune cell recruitment. This inflammatory amplification contributes to endothelial dysfunction and accelerates atherosclerotic lesion development [148]. Middle panel: In the myocardium, DNMT2 acts as a regulatory brake on transcriptional activation through stabilization of the inhibitory 7SK–P-TEFb complex. Loss of DNMT2 decreases 7SK m5C, and promotes dissociation of 7SK, resulting in hyperactivation of P-TEFb–dependent transcriptional programs that drive cardiomyocyte growth. This epitranscriptomic deregulation leads to maladaptive cardiac hypertrophy in the mouse model [149]. Right panel: In abdominal aortic aneurysm (AAA), coordinated upregulation of m5C regulators (NSUN2, NSUN5) and the reader protein ALYREF reshapes immune-associated RNA regulatory networks. Aberrant m5C signaling enhances macrophage infiltration and inflammatory remodeling of the aortic wall, establishing a self-reinforcing inflammatory microenvironment that accelerates aneurysm progression [150].
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Metabolic homeostasis, including lipid, glucose, and energy balance, varies between sexes due to interactions between hormones (e.g., estrogen) and regulatory gene networks. While most work to date has focused on RNA modifications such as N6-methyladenosine (m6A) in metabolic diseases, transcriptome-wide studies and reviews highlight that m5C and other RNA methylations influence the expression of genes involved in lipid and glucose metabolism by altering RNA stability and translation, supporting possible roles for m5C in systemic metabolic regulation. For example, studies of metabolic dysfunction-associated steatotic liver disease report that m5C RNA methylation is enriched in lipid metabolism-related genes, linking m5C landscapes to pathways central to obesity and insulin resistance [151]. Although direct studies of m5C in women’s metabolic regulation remain limited, the broader epitranscriptomic literature supports a role for RNA modifications in systemic metabolic control [152].

6.1. Pregnancy-Associated Metabolic Disorders

Pregnancy introduces dramatic metabolic shifts to support fetal growth, including changes in carbohydrate and lipid metabolism. Dysregulation of these adaptations can lead to pregnancy-associated disorders such as gestational diabetes mellitus (GDM) and preeclampsia. Epitranscriptomic modifications have been identified in placental tissue from preeclampsia, where altered m5C peak distribution was associated with genes in signaling pathways linked to inflammation, hypoxia response, and metabolism; aberrations in m5C regulators were also observed in preeclampsia placentas [101]. This suggests that m5C dynamics may influence placental metabolic programming and maternal–fetal nutrient handling, processes central to metabolic adaptation during pregnancy. Altered placental RNA methylation could contribute to the pathogenesis of GDM and related outcomes, although direct functional data on m5C in gestational metabolic disorders are still emerging.

6.2. Cardiovascular Disease Risk Modulation

Cardiovascular disease (CVD), including atherosclerosis and cardiac remodeling, is a leading cause of mortality among women, accounting for nearly one-third of female deaths. Traditional risk factors such as diabetes, hypertension, obesity, and smoking have a disproportionately greater impact in women, alongside female-specific factors (e.g., pregnancy complications, menopause) and female-predominant conditions like autoimmune diseases [153]. Epitranscriptomic regulation, particularly m5C RNA methylation, is increasingly linked to CVD. Dysregulated m5C regulators affect cardiomyocyte function, vascular integrity, and mitochondrial processes, while m5C-mediated control of endothelial activation, inflammation, and smooth muscle cell plasticity contributes to atherosclerosis and vascular remodeling [154,155,156].

6.2.1. m5C Reprogramming and Cardiovascular Diseases

m5C RNA modification undergoes dynamic reprogramming in various cardiovascular and vascular diseases. In cardiac regeneration, remodeling of m5C during pluripotency exit and cardiac lineage commitment regulates lineage-specific transcripts, supporting cardiomyocyte differentiation and maturation [157].
In vascular pathology, oxidative stress–induced nucleolar remodeling represents an additional m5C-linked mechanism. In human aortic vascular smooth muscle cells (VSMCs), curcumin downregulates SIRT7 while upregulating DNMT2, suppressing rDNA transcription and enhancing RNA methylation. This induces nucleolar stress, activates p53/p21 signaling, and promotes oxidation-dependent cytostasis, thereby limiting VSMC proliferation and potentially reducing atherosclerosis progression or post-angioplasty restenosis [158]. RNA cystosine methylation has been implicated in regulating inflammatory cytokine production, cholesterol metabolism, and macrophage polarization, processes that drive foam-cell formation and plaque progression [159,160]. Dysregulated m5C signaling in vascular immune cells may therefore contribute to chronic vascular inflammation and plaque instability.
In AAA, dysregulated m5C enhances lncRNA–mRNA networks, promoting immune cell infiltration and inflammatory signaling [150], while in pressure-overload remodeling, NSUN2-mediated m5C of NF-κB mRNA attenuates hypertrophy and fibrosis, improving cardiac function [161]. In ischemic and stress-related injury, m5C-dependent pathways regulate cardiomyocyte fate: piRNA–DNMT1 signaling alters ATF7 methylation to promote necroptosis in ischemia/reperfusion injury [162], whereas NSUN2-mediated m5C modification of NCOA4 suppresses ferroptosis sepsis-induced myocardial injury [163]. Additional studies show that disruption of ALYREF contributes to doxorubicin cardiotoxicity [164] and NSUN2-stabilization of HuR mRNA promotes post-myocardial infarction fibrosis [165], collectively highlighting m5C as a central regulator of cardiac injury and repair.

6.2.2. m5C Regulators and Cardiovascular Diseases

NSUN2 plays a critical role in multiple cardiovascular conditions by regulating RNA stability and translation through m5C methylation. In vascular inflammation and allograft arteriosclerosis, NSUN2 methylates intercellular adhesion molecule 1 (ICAM-1) mRNA, enhancing its translation and promoting leukocyte adhesion, while NSUN2 deficiency reduces inflammation [148]. In doxorubicin-induced cardiotoxicity, NSUN2 methylates Nrf2 mRNA, increasing its stability and protein expression, thereby enhancing antioxidant stress and promotes cardiomyocyte survival [166]. During cardiac hypertrophy and heart failure, NSUN2 methylates PRKACA mRNA in a YBX1-dependent manner, sustaining PKA signaling and contractility; loss of NSUN2 impairs cardiac adaptation [167]. In hypoxic pulmonary hypertension, NSUN2-mediated m5C stabilizes circCCNL2, allowing it to sequester FXR2 and limit pulmonary artery smooth muscle cell proliferation [168].
NSUN3 contributes to atherosclerosis by enhancing macrophage inflammatory cytokine production, driving disease progression and serving as a potential diagnostic biomarker [169]. NSUN4 functions in mitochondrial cardiomyopathy by methylating 12S rRNA and, in complex with MTERF4, coordinating the assembly of mitochondrial ribosomal subunits; loss of NSUN4 abolishes mitochondrial translation and disrupts cellular energy homeostasis [14]. DNMT2 facilitates cardiac hypertrophy by methylating tRNAs and stabilizing RNAs, thereby promoting P-TEFb activation via 7SK RNA release and driving hypertrophic growth [149].
ALYREF serves as a key m5C reader in post-MI cardiac remodeling, where it binds target transcripts to enhance extracellular matrix protein synthesis, promoting fibroblast proliferation, collagen and elastin deposition, and overall cardiac remodeling [170]. In doxorubicin cardiotoxicity, disruption of ALYREF phase separation destabilizes the m5C reader complex, leading to increased DNA damage and apoptosis, while preservation of ALYREF mitigates cardiotoxicity [164]. YBX1 mediates m5C-dependent translational enhancement of PRKACA in cardiac hypertrophy and heart failure, sustaining PKA signaling and supporting cardiac adaptation [167].
TET3, as an m5C eraser, contributes to the pathogenesis of acute coronary syndrome by removing m5C modifications from the lncRNA CCAT2, which decreases its stability and releases TRIM14 mRNA from repression. This process promotes endothelial apoptosis and impairs proliferation and angiogenesis, thereby driving disease progression [171].
Collectively, m5C RNA methylation critically regulates cardiovascular disease by modulating RNA stability, translation, nucleolar integrity, mitochondrial function, inflammation, hypertrophy, fibrosis, and programmed cell death. Through coordinated actions of writers (NSUN2, NSUN3, NSUN4, DNMT2), readers (ALYREF, YBX1), and erasers (TET3), m5C reprogramming influences both vascular and myocardial pathophysiology. Targeting these m5C regulators offers promising opportunities for mechanistic insight, risk stratification, and therapeutic intervention in diverse cardiovascular disorders (Figure 3, Table 3).

6.2.3. Sex Differences in Cardiovascular Disease and Clinical Implications of m5C Regulation

CVD exhibits well-established sex differences in disease onset, progression, and outcomes [171,172]. Women present distinct cardiovascular risk profiles shaped by hormonal status, pregnancy, menopause, and metabolic transitions. Traditional risk factors, including atherosclerosis, hypertension, diabetes, dyslipidemia, non-alcoholic fatty liver disease, and obesity, often exert greater impact during midlife and postmenopause [173]. In addition, CVD is closely linked to female-specific conditions such as UFs [174], preeclampsia [175], adverse pregnancy outcomes [176], PCOS [177,178], endometriosis [179], and premature menopause [180], underscoring the importance of sex-specific cardiovascular risk assessment.
Emerging evidence indicates that epitranscriptomic mechanisms, particularly RNA m5C modification, regulate pathways central to cardiac development, mitochondrial function, endothelial inflammation, fibrosis, and immune activation. These biological processes are strongly influenced by sex hormones and female-specific physiological transitions, suggesting that m5C reprogramming may contribute to sex-dependent cardiovascular phenotypes. Although direct evidence linking m5C alterations specifically to women’s vascular diseases in a sex-differentiated context remains limited, current knowledge of sex differences in vascular biology and immune regulation supports a plausible mechanistic connection. Future research should prioritize female-specific experimental models and hormone-aware study designs to clarify the role of m5C modification in women’s cardiovascular health and to advance precision medicine approaches tailored to female patients.

7. Clinical Implications and Translational Potential

Understanding and measuring m5C RNA modifications is not only mechanistically interesting, but growing evidence points to its utility as a biomarker for disease detection and prognosis, as well as its potential integration into liquid biopsy platforms leveraging circulating RNA.

7.1. m5C as Biomarkers

7.1.1. Diagnostic and Prognostic Applications

m5C RNA modification patterns and their regulatory machinery have been associated with clinical outcomes in multiple disease contexts, especially cancer, but also in benign conditions.
The diagnostic performance of NSUN7 has been evaluated in patients with PCOS. Receiver operating characteristic (ROC) curve analysis of NSUN7 protein levels in granulosa cells demonstrated that NSUN7 may serve as a highly accurate diagnostic biomarker for PCOS [95]. Similarly, transcriptomic profiling and integrative models incorporating the expression of m5C regulators (e.g., writers and readers) have successfully stratified patient prognosis and correlated with disease progression in several tumor types. For example, m5C-based gene signatures have been developed to predict survival outcomes in CC and other malignancies, supporting the potential of m5C-related patterns as prognostic biomarkers [143].
More broadly, accumulating evidence indicates that dysregulated expression of m5C regulatory genes (e.g., NSUN family members and DNMT2) and disrupted m5C methylation profiles correlate with tumor stage, therapeutic response, and overall patient survival across multiple cancer types. These findings support the potential utility of measuring m5C regulators or global patterns of m5C modification as diagnostic and prognostic biomarkers in precision oncology [58].

7.1.2. Circulating RNA and Liquid Biopsy Potential

Circulating nucleic acids, including cell-free RNA (cfRNA), are increasingly being leveraged in non-invasive liquid biopsy approaches for disease detection and monitoring [181]. cfRNA encompasses RNA molecules shed into biofluids (e.g., blood) from tissues throughout the body, providing a rich source of disease-associated signals without the need for tissue biopsy.
Proof-of-principle studies indicate that levels of m5C modification in peripheral blood immune cells can discriminate disease states. In patients with colorectal cancer, m5C levels in blood RNA were significantly elevated compared with those in healthy controls, and m5C measurement achieved high diagnostic performance, outperforming traditional serum biomarkers such as carcinoembryonic antigen (CEA), CA19-9, and CA125 [182].
These findings demonstrate that m5C status in circulating RNA, whether in cfRNA from blood cells or potentially in EVs, holds strong promise as a non-invasive biomarker for early detection, disease monitoring, and prognostic evaluation. Advances in sequencing and modification detection technologies are beginning to enable more sensitive and specific measurement of RNA methylation signatures in liquid biopsies, pointing toward future clinical applications.

7.2. Therapeutic Targeting of m5C Machinery

Given the growing evidence that dysregulated m5C RNA modification contributes to cancer, metabolic disease, and inflammatory disorders, components of the m5C machinery are increasingly being explored as potential therapeutic targets. Strategies aimed at modulating m5C dynamics include small-molecule inhibitors of m5C writers or readers, RNA-based approaches to alter target transcripts, and indirect targeting through upstream regulatory pathways.

7.2.1. Small-Molecule Inhibitors

NSUN family proteins (e.g., NSUN2, NSUN7) and DNMT2 are attractive therapeutic targets due to their enzymatic activity and disease-associated overexpression in cancer and inflammatory conditions. Small-molecule inhibitors could suppress aberrant m5C deposition, thereby reducing the stability or translation of pathogenic transcripts, including oncogenes or inflammatory mediators [183,184]. For example, NSUN2 drives multidrug resistance in anaplastic thyroid carcinoma by methylating SRSF6 mRNA, which is recognized by the reader ALYREF, thereby reprograming UAP1 splicing toward AGX2, stabilizing ABC transporters and promoting drug efflux. Pharmacologic inhibition of NSUN2 disrupts this pathway and enhances chemotherapy efficacy, highlighting m5C writers as promising targets in ATC [185]. Similarly, m5C readers such as YBX1 are critical for drug resistance in OC, where YBX1 recognizes m5C-modified CHD3 mRNA and stabilizes it via PABPC1, enhancing chromatin accessibility and homologous recombination–mediated DNA repair. Inhibition of YBX1 (e.g., SU056) reverses platinum resistance in vivo, underscoring that targeting m5C machinery, both writers and readers, represents a promising strategy to overcome chemoresistance [128]. While direct pharmacologic inhibitors of the m5C machinery remain limited, advances in targeting other RNA modification enzymes, such as m6A and pseudouridine regulators, demonstrate the feasibility of drugging RNA methylation pathways and provide a framework for developing selective m5C inhibitors with optimized pharmacokinetic properties [181,186].

7.2.2. Challenges in Specificity and Safety

Despite promising opportunities, therapeutic targeting of m5C machinery faces several challenges. First, m5C modifications are widespread and context-dependent, raising concerns about off-target effects and unintended disruption of normal RNA metabolism. Many m5C writers act on multiple RNA species, including tRNAs, rRNA, and mRNAs, complicating selective intervention. Second, m5C plays important roles in normal development, stress responses, and immune regulation, necessitating careful consideration of dose, timing, and tissue specificity to minimize toxicity. A further challenge arises from functional redundancy and overlaps among RNA methyltransferases and reader proteins, which may compensate for inhibition of individual components and limit therapeutic efficacy. Additionally, technical limitations in accurately mapping functional m5C sites hinder target prioritization and biomarker development, particularly within complex epitranscriptomic networks where targeting a single modification pathway may produce unpredictable compensatory effects. Advances in high-resolution m5C detection, single-cell profiling, and structure-guided drug design will be critical for overcoming these barriers and translating m5C-targeted strategies into safe and effective therapies.

8. Knowledge Gaps and Future Directions

Despite rapid advances in epitranscriptomics, the understanding of m5C RNA modification in women’s health remains incomplete. Addressing current knowledge gaps will be essential for translating descriptive findings into mechanistic insight and clinical application.

8.1. Tissue-Specific m5C Landscapes in Women

Despite advances in transcriptome-wide m5C mapping, most existing studies have relied on bulk tissue samples or cancer cohorts, such as profiling m5C methylomes across multiple human tissues or in tumor versus adjacent normal tissues [187,188]. Moreover, reviews of RNA modification research highlight the incomplete characterization of epitranscriptomic marks across diverse cell types and physiological contexts, reflecting a broader gap in tissue-specific, cell–type–specific and sex-stratified analyses [189].

8.2. Causality and Functional Validation in m5C Epitranscriptomics

A key limitation in current epitranscriptomic studies is their largely correlative nature, making it difficult to distinguish causal roles of m5C modifications from secondary transcriptional effects. Although associations between m5C regulators and disease phenotypes are well documented, direct mechanistic links remain insufficiently defined. To address this, functional validation is essential. Emerging approaches, including site-specific RNA methylation editing and CRISPR-based manipulation of m5C regulatory enzymes, enable direct assessment of m5C-dependent effects on RNA stability, localization, and translation. In addition, mapping modification-dependent RNA–protein interactions can help identify key reader proteins and downstream pathways. Integrating these tools with phenotypic assays will be critical to establish causal relationships between m5C regulation and disease pathogenesis, thereby strengthening the foundation for therapeutic targeting.

8.3. Interaction with Sex Hormones

The interaction between m5C regulation and sex hormone signaling remains largely unexplored. Estrogen and progesterone profoundly reshape transcriptional and post-transcriptional programs in female tissues, yet it remains unknown whether these hormones directly regulate m5C writers, readers, or target selection. Hormone-dependent modulation of RNA metabolism has been documented, suggesting that m5C may function as a downstream effector of steroid hormone signaling. Elucidating these interactions will be critical for understanding hormone-driven diseases such as BC, endometriosis, and UFs.
A major challenge in advancing m5C epitranscriptomic research is the lack of preclinical models that accurately reflect human regulation in sex-specific, hormone-dependent contexts. Common in vitro and animal models often fail to capture dynamic hormonal fluctuations, the complexity of receptor signaling, and tissue-specific responses, limiting our ability to assess how estrogen and progesterone influence m5C function under physiological conditions. This is particularly relevant as m5C-mediated RNA regulation may vary across reproductive states and in hormone-driven diseases. Consequently, the absence of such models hampers accurate evaluation of the safety and efficacy of m5C-targeted therapies and may overlook context-dependent effects. Developing advanced systems, including hormone-responsive organoids and patient-derived models, will be essential to better understand m5C–hormone interactions and to guide therapeutic strategies for diseases such as BC, endometriosis, and UFs.

8.4. Longitudinal and Life-Course Studies

Most m5C studies to date provide static snapshots of disease or tissue states. There is a pressing need for longitudinal and life-course–oriented studies that examine m5C dynamics across puberty, reproductive years, pregnancy, menopause, and aging. Such approaches are particularly relevant for women’s health, where hormonal transitions and cumulative exposures shape disease risk. Longitudinal profiling could reveal whether m5C alterations precede disease onset, reflect adaptive responses, or represent irreversible pathogenic changes.

8.5. Single-Cell and Spatial Epitranscriptomics

Bulk analyses obscure cellular heterogeneity that is especially pronounced in reproductive tissues and tumors. Recent single-cell and spatial transcriptomic profiling of the human ovary highlights this complexity: over 18,000 genes were analyzed across 257 spatial regions, and single-cell RNA sequencing of 21,198 cells identified four major cell types and four immune subtypes, revealing distinct gene programs in oocytes, theca, and granulosa cells, as well as spatial variation in hormone and extracellular matrix remodeling activities [87]. These datasets provide a valuable framework for interpreting cell-type–specific functions and molecular programs in the ovary. Applying single-cell and spatial epitranscriptomic technologies to m5C could similarly resolve cell-type–specific m5C regulation within these complex tissue microenvironments, offering new insights into stromal–epithelial interactions, immune infiltration, and spatial organization in women’s diseases [190,191].

8.6. Ethical and Clinical Considerations

As m5C profiling moves toward clinical translation, ethical and practical considerations must be addressed. These include data privacy concerns related to RNA-based biomarkers, equitable representation of women across diverse populations, and careful evaluation of unintended consequences when targeting RNA modification pathways that also function in normal physiology. In pregnancy-related contexts, particular caution is warranted to avoid interventions that could adversely affect fetal development. Establishing robust ethical frameworks and clinical guidelines will be essential for the responsible implementation of m5C-based diagnostics and therapies.

9. Conclusions

This review highlights the expanding role of m5C RNA modification as a critical post-transcriptional regulatory layer shaping gene expression across women’s health and disease. Accumulating evidence demonstrates that m5C is dynamically regulated by dedicated writer, reader, and eraser proteins and influences RNA stability, translation, cellular stress responses, and inflammatory signaling. Dysregulation of m5C machinery has been implicated in hormone-responsive cancers, gynecological and reproductive disorders, metabolic and cardiovascular diseases, and pregnancy-associated pathologies, underscoring the broad physiological relevance of this epitranscriptomic mark.
Importantly, women’s health contexts, characterized by cyclical hormonal fluctuations, reproductive transitions, and pregnancy-related adaptations, may be uniquely sensitive to perturbations in RNA modification pathways. m5C emerges as a potential molecular integrator of hormonal signaling, metabolic state, and tissue-specific gene regulation, offering new insights into sex-biased disease susceptibility and progression. Recognizing m5C as a contributor to these processes expands our understanding beyond classical epigenetic mechanisms and highlights the need to incorporate epitranscriptomic regulation into models of female biology.
Looking ahead, advances in high-resolution m5C mapping, single-cell and spatial epitranscriptomics, and longitudinal study designs will be essential for defining functional m5C landscapes across women’s life stages. These efforts, combined with improved detection technologies and mechanistic studies, will accelerate the translation of m5C-based biomarkers and therapeutic strategies into clinical practice. Ultimately, integrating m5C biology into women’s health research holds promise for more precise diagnostics, personalized therapies, and improved outcomes across a spectrum of female-predominant diseases.

Author Contributions

Conceptualization, Q.Y.; investigation, Q.Y., S.M.S., R.W., I.A., M.M., A.A.-H. and T.G.B.; resources, Q.Y., A.A.-H. and T.G.B.; writing—original draft preparation, Q.Y. and S.M.S.; writing—review and editing, Q.Y., S.M.S., R.W., I.A., M.M., A.A.-H. and T.G.B.; visualization, Q.Y.; supervision, Q.Y.; project administration, Q.Y., A.A.-H. and T.G.B.; funding acquisition, Q.Y., A.A.-H. and T.G.B. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported in part by the National Institutes of Health (NIH) RO1 grant HD106285.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study.

Acknowledgments

Figures were created with BioRender.com.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

AAAAbdominal aortic aneurysm
ALKBHAlkB homolog family
ALYREFAly/REF export factor
AUCArea under the curve
BCBreast cancer
ca5C5-carboxylcytidine
CEACarcinoembryonic antigen
CCCervical cancer
cfRNACell-free RNA
CVDCardiovascular disease
DNMT2/TRDMT1DNA methyltransferase 2/tRNA aspartic acid methyltransferase 1
EOCEpithelial ovarian cancer
EVsExtracellular vesicles
f5C5-formylcytidine
GDMGestational diabetes mellitus
HGSOCHigh-grade serous ovarian cancer
hm5C5-hydroxymethylcytidine
HPVHuman papillomavirus
ICAM-1Intercellular adhesion molecule 1
KGN Human granulosa-like tumor cell line
lncRNALong noncoding RNA
LPSLipopolysaccharide
m1AN1-methyladenosine
m5C5-methylcytidine
m6AN6-methyladenosine
miRNAMicroRNA
mRNAMessenger RNA
MSTMicroscale thermophoresis
MZTMaternal-to-zygotic transition
ncRNANoncoding RNA
NLRP3NLR family pyrin domain containing 3
NMFNonnegative matrix factorization
NSUNNOP2/Sun RNA methyltransferase family
PCOSPolycystic ovary syndrome
P-TEFbPositive transcription elongation factor b
RNA-BS-SeqRNA bisulfite sequencing
RIP-seqRNA immunoprecipitation sequencing
ROCReceiver operating characteristic
rRNARibosomal RNA
SAMS-adenosylmethionine
TNBCTriple-negative breast cancer
tRNATransfer RNA
TETTen-Eleven Translocation family
TNF-αTumor necrosis factor alpha
TREXTranscription–Export complex
UTRUntranslated region
YBX1Y-box binding protein 1
YTHDF2YTH N6-methyladenosine RNA binding protein F2
ZGAZygotic genome activation
ΨPseudouridine
α-KGAlpha-ketoglutarate

References

  1. Kouzarides, T. Chromatin modifications and their function. Cell 2007, 128, 693–705. [Google Scholar] [CrossRef]
  2. Greenberg, M.V.C.; Bourc’his, D. The diverse roles of DNA methylation in mammalian development and disease. Nat. Rev. Mol. Cell Biol. 2019, 20, 590–607. [Google Scholar] [CrossRef]
  3. Feinberg, A.P. The Key Role of Epigenetics in Human Disease Prevention and Mitigation. N. Engl. J. Med. 2018, 378, 1323–1334. [Google Scholar] [CrossRef]
  4. Zaccara, S.; Ries, R.J.; Jaffrey, S.R. Reading, writing and erasing mRNA methylation. Nat. Rev. Mol. Cell Biol. 2019, 20, 608–624. [Google Scholar] [CrossRef]
  5. Wiener, D.; Schwartz, S. The epitranscriptome beyond m(6)A. Nat. Rev. Genet. 2021, 22, 119–131. [Google Scholar] [CrossRef] [PubMed]
  6. Roundtree, I.A.; Evans, M.E.; Pan, T.; He, C. Dynamic RNA Modifications in Gene Expression Regulation. Cell 2017, 169, 1187–1200. [Google Scholar] [CrossRef]
  7. Shi, H.; Wei, J.; He, C. Where, When, and How: Context-Dependent Functions of RNA Methylation Writers, Readers, and Erasers. Mol. Cell 2019, 74, 640–650. [Google Scholar] [CrossRef]
  8. Lee, M.; Kim, B.; Kim, V.N. Emerging roles of RNA modification: m(6)A and U-tail. Cell 2014, 158, 980–987. [Google Scholar] [CrossRef] [PubMed]
  9. Deng, X.; Wu, D.; Zhao, Y.; Qing, Y.; Wu, H.; Chen, J. Epitranscriptomic control of cancer hallmarks: Functions, mechanisms, and therapeutics of RNA modifications. Cancer Cell 2026, 44, 50–76. [Google Scholar] [CrossRef]
  10. Motorin, Y.; Helm, M. RNA nucleotide methylation. Wiley Interdiscip. Rev. RNA 2011, 2, 611–631. [Google Scholar] [CrossRef] [PubMed]
  11. Tuorto, F.; Liebers, R.; Musch, T.; Schaefer, M.; Hofmann, S.; Kellner, S.; Frye, M.; Helm, M.; Stoecklin, G.; Lyko, F. RNA cytosine methylation by Dnmt2 and NSun2 promotes tRNA stability and protein synthesis. Nat. Struct. Mol. Biol. 2012, 19, 900–905. [Google Scholar] [CrossRef]
  12. Motorin, Y.; Lyko, F.; Helm, M. 5-methylcytosine in RNA: Detection, enzymatic formation and biological functions. Nucleic Acids Res. 2010, 38, 1415–1430. [Google Scholar] [CrossRef]
  13. Blanco, S.; Dietmann, S.; Flores, J.V.; Hussain, S.; Kutter, C.; Humphreys, P.; Lukk, M.; Lombard, P.; Treps, L.; Popis, M.; et al. Aberrant methylation of tRNAs links cellular stress to neuro-developmental disorders. EMBO J. 2014, 33, 2020–2039. [Google Scholar] [CrossRef]
  14. Metodiev, M.D.; Spahr, H.; Loguercio Polosa, P.; Meharg, C.; Becker, C.; Altmueller, J.; Habermann, B.; Larsson, N.G.; Ruzzenente, B. NSUN4 is a dual function mitochondrial protein required for both methylation of 12S rRNA and coordination of mitoribosomal assembly. PLoS Genet. 2014, 10, e1004110. [Google Scholar] [CrossRef]
  15. Liao, H.; Gaur, A.; McConie, H.; Shekar, A.; Wang, K.; Chang, J.T.; Breton, G.; Denicourt, C. Human NOP2/NSUN1 regulates ribosome biogenesis through non-catalytic complex formation with box C/D snoRNPs. Nucleic Acids Res. 2022, 50, 10695–10716. [Google Scholar] [CrossRef] [PubMed]
  16. Squires, J.E.; Patel, H.R.; Nousch, M.; Sibbritt, T.; Humphreys, D.T.; Parker, B.J.; Suter, C.M.; Preiss, T. Widespread occurrence of 5-methylcytosine in human coding and non-coding RNA. Nucleic Acids Res. 2012, 40, 5023–5033. [Google Scholar] [CrossRef]
  17. Hussain, S.; Sajini, A.A.; Blanco, S.; Dietmann, S.; Lombard, P.; Sugimoto, Y.; Paramor, M.; Gleeson, J.G.; Odom, D.T.; Ule, J.; et al. NSun2-mediated cytosine-5 methylation of vault noncoding RNA determines its processing into regulatory small RNAs. Cell Rep. 2013, 4, 255–261. [Google Scholar] [CrossRef]
  18. Yang, X.; Yang, Y.; Sun, B.F.; Chen, Y.S.; Xu, J.W.; Lai, W.Y.; Li, A.; Wang, X.; Bhattarai, D.P.; Xiao, W.; et al. 5-methylcytosine promotes mRNA export—NSUN2 as the methyltransferase and ALYREF as an m5C reader. Cell Res. 2017, 27, 606–625. [Google Scholar] [CrossRef]
  19. Guan, Z.; Li, W.; He, Y.; Guo, W. RNA m5C methylation in cancer: Mechanisms and biological impact. Oncogenesis 2025, 14, 44. [Google Scholar] [CrossRef] [PubMed]
  20. Li, C.; Yuan, Y.; Jiang, X.; Wang, Q. Roles and mechanisms of NSUN2-mediated RNA m5C modification in cancer progression and immune modulation. Front. Immunol. 2025, 16, 1702436. [Google Scholar] [CrossRef] [PubMed]
  21. Song, H.; Zhang, J.; Liu, B.; Xu, J.; Cai, B.; Yang, H.; Straube, J.; Yu, X.; Ma, T. Biological roles of RNA m5C modification and its implications in Cancer immunotherapy. Biomark. Res. 2022, 10, 15. [Google Scholar] [CrossRef]
  22. Khoddami, V.; Cairns, B.R. Identification of direct targets and modified bases of RNA cytosine methyltransferases. Nat. Biotechnol. 2013, 31, 458–464. [Google Scholar] [CrossRef]
  23. Bohnsack, M.T.; Sloan, K.E. The mitochondrial epitranscriptome: The roles of RNA modifications in mitochondrial translation and human disease. Cell. Mol. Life Sci. 2018, 75, 241–260. [Google Scholar] [CrossRef]
  24. Bird, A. DNA methylation patterns and epigenetic memory. Genes. Dev. 2002, 16, 6–21. [Google Scholar] [CrossRef] [PubMed]
  25. Chen, X.; Yuan, Y.; Zhou, F.; Huang, X.; Li, L.; Pu, J.; Zeng, Y.; Jiang, X. RNA m5C modification: From physiology to pathology and its biological significance. Front. Immunol. 2025, 16, 1599305. [Google Scholar] [CrossRef]
  26. Wang, J.; Qi, C.; Wang, R.; Cao, Y.; Zhou, Y.; Ye, G. m5C RNA modification in colorectal cancer: Mechanisms and therapeutic targets. J. Transl. Med. 2025, 23, 948. [Google Scholar] [CrossRef]
  27. Li, Z.L.; Xie, Y.; Xie, Y.; Chen, H.; Zhou, X.; Liu, M.; Zhang, X.L. HCV 5-Methylcytosine Enhances Viral RNA Replication through Interaction with m5C Reader YBX1. ACS Chem. Biol. 2024, 19, 1648–1660. [Google Scholar] [CrossRef] [PubMed]
  28. Zhang, Q.; Liu, F.; Chen, W.; Miao, H.; Liang, H.; Liao, Z.; Zhang, Z.; Zhang, B. The role of RNA m5C modification in cancer metastasis. Int. J. Biol. Sci. 2021, 17, 3369–3380. [Google Scholar] [CrossRef] [PubMed]
  29. Del Valle-Morales, D.; Le, P.; Saviana, M.; Romano, G.; Nigita, G.; Nana-Sinkam, P.; Acunzo, M. The Epitranscriptome in miRNAs: Crosstalk, Detection, and Function in Cancer. Genes 2022, 13, 1289. [Google Scholar] [CrossRef]
  30. Lu, Y.; Yang, L.; Feng, Q.; Liu, Y.; Sun, X.; Liu, D.; Qiao, L.; Liu, Z. RNA 5-Methylcytosine Modification: Regulatory Molecules, Biological Functions, and Human Diseases. Genom. Proteom. Bioinform. 2024, 22, qzae063. [Google Scholar] [CrossRef]
  31. Dias Da Silva, I.; Wuidar, V.; Zielonka, M.; Pequeux, C. Unraveling the Dynamics of Estrogen and Progesterone Signaling in the Endometrium: An Overview. Cells 2024, 13, 1236. [Google Scholar] [CrossRef] [PubMed]
  32. Xiang, Y.; Chang, H.M.; Leung, P.C.K.; Bai, L.; Zhu, Y. RNA modifications in female reproductive physiology and disease: Emerging roles and clinical implications. Hum. Reprod. Update 2025, 31, 333–360. [Google Scholar] [CrossRef] [PubMed]
  33. Lv, F.; Jin, Y.; Yu, S.; Yang, X.; Xia, S.; Ye, X.; Zhao, Q.; Hu, Y.; Zheng, A.; Wu, Y.; et al. Emerging roles of RNA N5-methylcytosine modification in reproductive physiology and gynecological diseases. Epigenetics 2026, 21, 2629068. [Google Scholar] [CrossRef]
  34. Xue, C.; Chu, Q.; Zheng, Q.; Jiang, S.; Bao, Z.; Su, Y.; Lu, J.; Li, L. Role of main RNA modifications in cancer: N(6)-methyladenosine, 5-methylcytosine, and pseudouridine. Signal Transduct. Target. Ther. 2022, 7, 142. [Google Scholar] [CrossRef]
  35. Mauvais-Jarvis, F.; Bairey Merz, N.; Barnes, P.J.; Brinton, R.D.; Carrero, J.J.; DeMeo, D.L.; De Vries, G.J.; Epperson, C.N.; Govindan, R.; Klein, S.L.; et al. Sex and gender: Modifiers of health, disease, and medicine. Lancet 2020, 396, 565–582. [Google Scholar] [CrossRef]
  36. Tokgozoglu, L.; Kayikcioglu, M.; Roeters van Lennep, J. Sex-specific differences in cardiovascular risk factors and their management. Atherosclerosis 2026, 414, 120641. [Google Scholar] [CrossRef]
  37. Hoffmann, J.P.; Liu, J.A.; Seddu, K.; Klein, S.L. Sex hormone signaling and regulation of immune function. Immunity 2023, 56, 2472–2491. [Google Scholar] [CrossRef] [PubMed]
  38. Rubin, J.B.; Lagas, J.S.; Broestl, L.; Sponagel, J.; Rockwell, N.; Rhee, G.; Rosen, S.F.; Chen, S.; Klein, R.S.; Imoukhuede, P.; et al. Sex differences in cancer mechanisms. Biol. Sex Differ. 2020, 11, 17. [Google Scholar] [CrossRef]
  39. Klein, S.L.; Flanagan, K.L. Sex differences in immune responses. Nat. Rev. Immunol. 2016, 16, 626–638. [Google Scholar] [CrossRef]
  40. Giudice, L.C.; Kao, L.C. Endometriosis. Lancet 2004, 364, 1789–1799. [Google Scholar] [CrossRef]
  41. Yang, Q.; Ciebiera, M.; Bariani, M.V.; Ali, M.; Elkafas, H.; Boyer, T.G.; Al-Hendy, A. Comprehensive Review of Uterine Fibroids: Developmental Origin, Pathogenesis, and Treatment. Endocr. Rev. 2022, 43, 678–719. [Google Scholar] [CrossRef]
  42. Cancer Genome Atlas Research, N.; Kandoth, C.; Schultz, N.; Cherniack, A.D.; Akbani, R.; Liu, Y.; Shen, H.; Robertson, A.G.; Pashtan, I.; Shen, R.; et al. Integrated genomic characterization of endometrial carcinoma. Nature 2013, 497, 67–73. [Google Scholar] [CrossRef]
  43. Cancer Genome Atlas Research, N. Integrated genomic analyses of ovarian carcinoma. Nature 2011, 474, 609–615. [Google Scholar] [CrossRef]
  44. Yang, Q.; Madueke-Laveaux, O.S.; Cun, H.; Wlodarczyk, M.; Garcia, N.; Carvalho, K.C.; Al-Hendy, A. Comprehensive Review of Uterine Leiomyosarcoma: Pathogenesis, Diagnosis, Prognosis, and Targeted Therapy. Cells 2024, 13, 1106. [Google Scholar] [CrossRef]
  45. Zhang, L.; Li, Y.; Li, L.; Yao, F.; Cai, M.; Ye, D.; Qu, Y. Detection, molecular function and mechanisms of m5C in cancer. Clin. Transl. Med. 2025, 15, e70239. [Google Scholar] [CrossRef]
  46. Li, H.; Zhu, D.; Yang, Y.; Ma, Y.; Chen, Y.; Xue, P.; Chen, J.; Qin, M.; Xu, D.; Cai, C.; et al. Restricted tRNA methylation by intermolecular disulfide bonds in DNMT2/TRDMT1. Int. J. Biol. Macromol. 2023, 251, 126310. [Google Scholar] [CrossRef]
  47. Goll, M.G.; Kirpekar, F.; Maggert, K.A.; Yoder, J.A.; Hsieh, C.L.; Zhang, X.; Golic, K.G.; Jacobsen, S.E.; Bestor, T.H. Methylation of tRNAAsp by the DNA methyltransferase homolog Dnmt2. Science 2006, 311, 395–398. [Google Scholar] [CrossRef] [PubMed]
  48. Jiang, T.; Jiang, N.; Chen, X.; Xiong, Z. The Role of NSUN Family Genes in m5C Methylation and Diseases. Biomedicines 2025, 13, 2951. [Google Scholar] [CrossRef] [PubMed]
  49. Wu, P.; Gao, J.; Lan, G.; Wang, Y. The Role of RNA m5C Modification in Central Nervous System Diseases. Discov. Med. 2024, 36, 1555–1571. [Google Scholar] [CrossRef] [PubMed]
  50. Chen, D.; Gu, X.; Nurzat, Y.; Xu, L.; Li, X.; Wu, L.; Jiao, H.; Gao, P.; Zhu, X.; Yan, D.; et al. Writers, readers, and erasers RNA modifications and drug resistance in cancer. Mol. Cancer 2024, 23, 178. [Google Scholar] [CrossRef]
  51. Zhong, L.; Wu, J.; Zhou, B.; Kang, J.; Wang, X.; Ye, F.; Lin, X. ALYREF recruits ELAVL1 to promote colorectal tumorigenesis via facilitating RNA m5C recognition and nuclear export. NPJ Precis. Oncol. 2024, 8, 243. [Google Scholar] [CrossRef]
  52. Li, J.; Zhang, L. The emerging role of m5C modification in viral infection. Virology 2025, 610, 110606. [Google Scholar] [CrossRef]
  53. Zhao, T.; Zhang, Z.; Chen, Z.; Xu, G.; Wang, Y.; Wang, F. Biological functions of 5-methylcytosine RNA-binding proteins and their potential mechanisms in human cancers. Front. Oncol. 2025, 15, 1534948. [Google Scholar] [CrossRef]
  54. Chen, X.; Li, A.; Sun, B.F.; Yang, Y.; Han, Y.N.; Yuan, X.; Chen, R.X.; Wei, W.S.; Liu, Y.; Gao, C.C.; et al. 5-methylcytosine promotes pathogenesis of bladder cancer through stabilizing mRNAs. Nat. Cell Biol. 2019, 21, 978–990. [Google Scholar] [CrossRef] [PubMed]
  55. Gu, X.; Ma, X.; Chen, C.; Guan, J.; Wang, J.; Wu, S.; Zhu, H. Vital roles of m5C RNA modification in cancer and immune cell biology. Front. Immunol. 2023, 14, 1207371. [Google Scholar] [CrossRef] [PubMed]
  56. Dai, X.; Gonzalez, G.; Li, L.; Li, J.; You, C.; Miao, W.; Hu, J.; Fu, L.; Zhao, Y.; Li, R.; et al. YTHDF2 Binds to 5-Methylcytosine in RNA and Modulates the Maturation of Ribosomal RNA. Anal. Chem. 2020, 92, 1346–1354. [Google Scholar] [CrossRef] [PubMed]
  57. Wu, H.; Chen, S.; Li, X.; Li, Y.; Shi, H.; Qing, Y.; Shi, B.; Tang, Y.; Yan, Z.; Hao, Y.; et al. RNA modifications in cancer. MedComm 2025, 6, e70042. [Google Scholar] [CrossRef]
  58. Yuan, F.; Xia, Y.; Huang, Z.; Gao, H.; Bian, Y.; Zhou, X. m5C RNA methylation in cancer: From biological mechanism to clinical perspectives. Eur. J. Med. Res. 2025, 30, 503. [Google Scholar] [CrossRef]
  59. Moon, J.; Lee, H.; Jang, Y.; Kim, S.K. NSUN-Mediated m5C RNA Modification in Stem Cell Regulation. Cells 2025, 14, 1609. [Google Scholar] [CrossRef]
  60. Yang, Q.; Mas, A.; Diamond, M.P.; Al-Hendy, A. The Mechanism and Function of Epigenetics in Uterine Leiomyoma Development. Reprod. Sci. 2016, 23, 163–175. [Google Scholar] [CrossRef]
  61. Fu, L.; Guerrero, C.R.; Zhong, N.; Amato, N.J.; Liu, Y.; Liu, S.; Cai, Q.; Ji, D.; Jin, S.G.; Niedernhofer, L.J.; et al. Tet-mediated formation of 5-hydroxymethylcytosine in RNA. J. Am. Chem. Soc. 2014, 136, 11582–11585. [Google Scholar] [CrossRef]
  62. Fedeles, B.I.; Singh, V.; Delaney, J.C.; Li, D.; Essigmann, J.M. The AlkB Family of Fe(II)/alpha-Ketoglutarate-dependent Dioxygenases: Repairing Nucleic Acid Alkylation Damage and Beyond. J. Biol. Chem. 2015, 290, 20734–20742. [Google Scholar] [CrossRef]
  63. Gao, Y.; Fang, J. RNA 5-methylcytosine modification and its emerging role as an epitranscriptomic mark. RNA Biol. 2021, 18, 117–127. [Google Scholar] [CrossRef] [PubMed]
  64. Helm, M.; Motorin, Y. Detecting RNA modifications in the epitranscriptome: Predict and validate. Nat. Rev. Genet. 2017, 18, 275–291. [Google Scholar] [CrossRef]
  65. Chen, Y.S.; Yang, W.L.; Zhao, Y.L.; Yang, Y.G. Dynamic transcriptomic m(5) C and its regulatory role in RNA processing. Wiley Interdiscip. Rev. RNA 2021, 12, e1639. [Google Scholar] [CrossRef]
  66. Edelheit, S.; Schwartz, S.; Mumbach, M.R.; Wurtzel, O.; Sorek, R. Transcriptome-wide mapping of 5-methylcytidine RNA modifications in bacteria, archaea, and yeast reveals m5C within archaeal mRNAs. PLoS Genet. 2013, 9, e1003602. [Google Scholar] [CrossRef]
  67. Li, F.; Liu, T.; Dong, Y.; Gao, Q.; Lu, R.; Deng, Z. 5-Methylcytosine RNA modification and its roles in cancer and cancer chemotherapy resistance. J. Transl. Med. 2025, 23, 390. [Google Scholar] [CrossRef]
  68. Guo, G.; Pan, K.; Fang, S.; Ye, L.; Tong, X.; Wang, Z.; Xue, X.; Zhang, H. Advances in mRNA 5-methylcytosine modifications: Detection, effectors, biological functions, and clinical relevance. Mol. Ther. Nucleic Acids 2021, 26, 575–593. [Google Scholar] [CrossRef] [PubMed]
  69. Motorin, Y.; Helm, M. Methods for RNA Modification Mapping Using Deep Sequencing: Established and New Emerging Technologies. Genes 2019, 10, 35. [Google Scholar] [CrossRef] [PubMed]
  70. Lu, L.; Zhang, X.; Zhou, Y.; Shi, Z.; Xie, X.; Zhang, X.; Gao, L.; Fu, A.; Liu, C.; He, B.; et al. Base-resolution m5C profiling across the mammalian transcriptome by bisulfite-free enzyme-assisted chemical labeling approach. Mol. Cell 2024, 84, 2984–3000.e8. [Google Scholar] [CrossRef]
  71. Workman, R.E.; Tang, A.D.; Tang, P.S.; Jain, M.; Tyson, J.R.; Razaghi, R.; Zuzarte, P.C.; Gilpatrick, T.; Payne, A.; Quick, J.; et al. Nanopore native RNA sequencing of a human poly(A) transcriptome. Nat. Methods 2019, 16, 1297–1305. [Google Scholar] [CrossRef]
  72. Rubsam, F.N.M.; Liu-Wei, W.; Sun, Y.; Patel, B.I.; van der Toorn, W.; Piechotta, M.; Dieterich, C.; Kleist, M.V.; Ehrenhofer-Murray, A.E. MoDorado: Enhanced detection of tRNA modifications in nanopore sequencing by off-label use of modification callers. Nucleic Acids Res. 2025, 53, gkaf795. [Google Scholar] [CrossRef] [PubMed]
  73. Dubuc, K.; Marchais, M.; Gilbert, I.; Bastien, A.; Nenonene, K.E.; Khandjian, E.W.; Viger, R.S.; Delbes, G.; Robert, C. Epitranscriptome marks detection and localization of RNA modifying proteins in mammalian ovarian follicles. J. Ovarian Res. 2023, 16, 90. [Google Scholar] [CrossRef]
  74. Pitzer, L.M.; Moroney, M.R.; Nokoff, N.J.; Sikora, M.J. WNT4 Balances Development vs Disease in Gynecologic Tissues and Women’s Health. Endocrinology 2021, 162, bqab093. [Google Scholar] [CrossRef] [PubMed]
  75. Piprek, R.P.; Kloc, M.; Kubiak, J.Z. Early Development of the Gonads: Origin and Differentiation of the Somatic Cells of the Genital Ridges. Results Probl. Cell Differ. 2016, 58, 1–22. [Google Scholar] [CrossRef]
  76. Ezz, M.A.; Balboula, A.Z. Molecular mechanisms of folliculogenesis and oogenesis. Syst. Biol. Reprod. Med. 2026, 72, 211–240. [Google Scholar] [CrossRef]
  77. Hsueh, A.J.; Kawamura, K.; Cheng, Y.; Fauser, B.C. Intraovarian control of early folliculogenesis. Endocr. Rev. 2015, 36, 1–24. [Google Scholar] [CrossRef]
  78. Ding, C.; Lu, J.; Li, J.; Hu, X.; Liu, Z.; Su, H.; Li, H.; Huang, B. RNA-methyltransferase Nsun5 controls the maternal-to-zygotic transition by regulating maternal mRNA stability. Clin. Transl. Med. 2022, 12, e1137. [Google Scholar] [CrossRef]
  79. Liu, D.; Yamamoto, T.; Wang, H.; Minami, N.; Honda, S.; Ikeda, S. NSUN5 is essential for proper cell proliferation and differentiation of mouse preimplantation embryos. Reproduction 2024, 168, e240079. [Google Scholar] [CrossRef] [PubMed]
  80. Yang, Y.; Wang, L.; Han, X.; Yang, W.L.; Zhang, M.; Ma, H.L.; Sun, B.F.; Li, A.; Xia, J.; Chen, J.; et al. RNA 5-Methylcytosine Facilitates the Maternal-to-Zygotic Transition by Preventing Maternal mRNA Decay. Mol. Cell 2019, 75, 1188–1202.e11. [Google Scholar] [CrossRef]
  81. Deng, M.; Chen, B.; Liu, Z.; Wan, Y.; Li, D.; Yang, Y.; Wang, F. YBX1 mediates alternative splicing and maternal mRNA decay during pre-implantation development. Cell Biosci. 2022, 12, 12. [Google Scholar] [CrossRef]
  82. Lau, E.S.; Zhu, B.; Sun, M.A.; Ngai, S.M.; Ge, W. Proteomic analysis of zebrafish folliculogenesis identifies YB-1 (Ybx1/ybx1) as a potential gatekeeping molecule controlling early ovarian folliculogenesis. Biol. Reprod. 2023, 109, 482–497. [Google Scholar] [CrossRef]
  83. Sun, J.; Yan, L.; Shen, W.; Meng, A. Maternal Ybx1 safeguards zebrafish oocyte maturation and maternal-to-zygotic transition by repressing global translation. Development 2018, 145, dev166587. [Google Scholar] [CrossRef]
  84. Liu, Y.; Feng, P.; Wei, X.; Xu, H.; Yu, M.; Zhang, L.; Hao, W.; Guo, Z. PGC7 regulates maternal mRNA translation via AKT1-YBX1 interactions in mouse oocytes. Cell Commun. Signal. 2024, 22, 604. [Google Scholar] [CrossRef]
  85. Liu, J.; Huang, T.; Chen, W.; Ding, C.; Zhao, T.; Zhao, X.; Cai, B.; Zhang, Y.; Li, S.; Zhang, L.; et al. Developmental mRNA m5C landscape and regulatory innovations of massive m5C modification of maternal mRNAs in animals. Nat. Commun. 2022, 13, 2484. [Google Scholar] [CrossRef]
  86. Zou, F.; Tu, R.; Duan, B.; Yang, Z.; Ping, Z.; Song, X.; Chen, S.; Price, A.; Li, H.; Scott, A.; et al. Drosophila YBX1 homolog YPS promotes ovarian germ line stem cell development by preferentially recognizing 5-methylcytosine RNAs. Proc. Natl. Acad. Sci. USA 2020, 117, 3603–3609. [Google Scholar] [CrossRef] [PubMed]
  87. Jones, A.S.K.; Hannum, D.F.; Machlin, J.H.; Tan, A.; Ma, Q.; Ulrich, N.D.; Shen, Y.C.; Ciarelli, M.; Padmanabhan, V.; Marsh, E.E.; et al. Cellular atlas of the human ovary using morphologically guided spatial transcriptomics and single-cell sequencing. Sci. Adv. 2024, 10, eadm7506. [Google Scholar] [CrossRef] [PubMed]
  88. Niakan, K.K.; Han, J.; Pedersen, R.A.; Simon, C.; Pera, R.A. Human pre-implantation embryo development. Development 2012, 139, 829–841. [Google Scholar] [CrossRef]
  89. Kojima, M.L.; Hoppe, C.; Giraldez, A.J. The maternal-to-zygotic transition: Reprogramming of the cytoplasm and nucleus. Nat. Rev. Genet. 2025, 26, 245–267. [Google Scholar] [CrossRef] [PubMed]
  90. Jiang, W.J.; Sun, M.H.; Li, X.H.; Lee, S.H.; Heo, G.; Zhou, D.; Cui, X.S. Y-box binding protein 1 influences zygotic genome activation by regulating N6-methyladenosine in porcine embryos. J. Cell. Physiol. 2023, 238, 1592–1604. [Google Scholar] [CrossRef]
  91. Du, Z.; Liu, Q.; Wang, M.; Gao, Y.; Li, Q.; Yang, Y.; Lu, T.; Bao, L.; Pang, Y.; Wang, H.; et al. Reticulophagy promotes EMT-induced fibrosis in offspring’s lung tissue after maternal exposure to carbon black nanoparticles during gestation by a m5C-dependent manner. J. Hazard. Mater. 2025, 485, 136873. [Google Scholar] [CrossRef]
  92. Ihashi, S.; Hamanaka, M.; Kaji, M.; Mori, R.; Nishizaki, S.; Mori, M.; Imasato, Y.; Inoue, K.; Matoba, S.; Ogonuki, N.; et al. Incomplete activation of Alyref and Gabpb1 leads to preimplantation arrest in cloned mouse embryos. Life Sci. Alliance 2023, 6, e202302296. [Google Scholar] [CrossRef]
  93. Hernandez-Vargas, P.; Munoz, M.; Dominguez, F. Identifying biomarkers for predicting successful embryo implantation: Applying single to multi-OMICs to improve reproductive outcomes. Hum. Reprod. Update 2020, 26, 264–301. [Google Scholar] [CrossRef]
  94. Lu, J.; Zhang, M.; Liu, Z.; Guo, L.; Huang, P.; Xia, W.; Li, J.; Lv, J.; Cheung, H.H.; Ding, C.; et al. NSUN2-Mediated m5C Methylation Impairs Endometrial Receptivity. Lab. Investig. 2024, 104, 100327. [Google Scholar] [CrossRef]
  95. Xu, G.; Wang, J.; Gu, N.; Yang, T. NSUN7-mediated m5C methylation of NLRP3 promotes pyroptosis in ovarian granulosa cells in polycystic ovary syndrome. Sci. Rep. 2025, 15, 35145. [Google Scholar] [CrossRef]
  96. Eshre, A.C.; CREWHIRL and IMS Guideline Group on POI; Panay, N.; Anderson, R.A.; Bennie, A.; Cedars, M.; Davies, M.; Ee, C.; Gravholt, C.H.; Kalantaridou, S.; et al. Evidence-based guideline: Premature Ovarian Insufficiency. Fertil. Steril. 2025, 123, 221–236. [Google Scholar] [CrossRef]
  97. Heddar, A.; Ogur, C.; Da Costa, S.; Braham, I.; Billaud-Rist, L.; Findikli, N.; Beneteau, C.; Reynaud, R.; Mahmoud, K.; Legrand, S.; et al. Genetic landscape of a large cohort of Primary Ovarian Insufficiency: New genes and pathways and implications for personalized medicine. eBioMedicine 2022, 84, 104246. [Google Scholar] [CrossRef] [PubMed]
  98. Chen, Q.; Wang, S.; Zhang, M.; Xiang, Y.; Chen, Q.; Li, Z.; Song, Y.; Bai, L.; Zhu, Y. Aberrant downregulation of Y-box binding protein 1 expression impairs the cell cycle in an m5C-dependent manner in human granulosa cells from patients with primary ovarian insufficiency. Cell. Mol. Life Sci. 2025, 82, 206. [Google Scholar] [CrossRef] [PubMed]
  99. Sha, C.; Chen, L.; Lin, L.; Li, T.; Wei, H.; Yang, M.; Gao, W.; Zhao, D.; Chen, Q.; Liu, Y.; et al. TRDMT1 participates in the DNA damage repair of granulosa cells in premature ovarian failure. Aging 2021, 13, 15193–15213. [Google Scholar] [CrossRef] [PubMed]
  100. Zhu, X.; Lu, M.; Li, W.X.; Lin, L.; Liu, Y.; Zhou, J.; Shang, J.; Shi, X.; Lu, J.; Xing, J.; et al. HuMSCs-derived exosomal YBX1 participates in oxidative damage repair in granulosa cells by stabilizing COX5B mRNA in an m5C-dependent manner. Int. J. Biol. Macromol. 2025, 310, 143288. [Google Scholar] [CrossRef]
  101. Wei, X.; Zhou, S.; Liao, L.; Liu, M.; Gao, Y.; Yin, Y.; Xu, Q.; Zhou, R. Comprehensive analysis of transcriptomic profiling of 5-methylcytosin modification in placentas from preeclampsia and normotensive pregnancies. FASEB J. 2023, 37, e22751. [Google Scholar] [CrossRef]
  102. Tong, J.; Li, H.; Zhang, C. Altered 5-methylcytosine modification of mRNA is involved in the pathogenesis of pre-eclampsia. J. Cell. Biochem. 2023, 124, 1720–1733. [Google Scholar] [CrossRef]
  103. Zhang, C.; Li, J.; Wang, L.; Yang, P.; Luo, X. ALKBH1 knockdown promotes the growth, migration and invasion of HTR-8/SVneo cells through regulating the m5C modification PSMD14. Sci. Rep. 2025, 15, 7345. [Google Scholar] [CrossRef]
  104. Zhong, X.; Zeng, D. Enoxaparin alleviates preeclampsia by enhancing trophoblast function via the NSUN2-mediated m5C methylation of PAX3 mRNA. Eur. J. Med. Res. 2025, 30, 1283. [Google Scholar] [CrossRef]
  105. Morales-Prieto, D.M.; Favaro, R.R.; Markert, U.R. Placental miRNAs in feto-maternal communication mediated by extracellular vesicles. Placenta 2020, 102, 27–33. [Google Scholar] [CrossRef] [PubMed]
  106. Ahi, E.P. Bridging maternal effects and epitranscriptomics: A novel perspective in developmental biology. Dev. Dyn. 2025. online ahead of print. [Google Scholar] [CrossRef]
  107. Zhang, X.; An, K.; Ge, X.; Sun, Y.; Wei, J.; Ren, W.; Wang, H.; Wang, Y.; Du, Y.; He, L.; et al. NSUN2/YBX1 promotes the progression of breast cancer by enhancing HGH1 mRNA stability through m5C methylation. Breast Cancer Res. 2024, 26, 94. [Google Scholar] [CrossRef] [PubMed]
  108. Wang, W.; Ding, Y.; Zhao, H.; Wang, S.; Huang, J.; Sun, L. NSUN2-tRNA(Val-CAC)-axis-regulated codon-biased translation drives triple-negative breast cancer glycolysis and progression. Cell. Mol. Biol. Lett. 2025, 30, 100. [Google Scholar] [CrossRef] [PubMed]
  109. Athanasopoulou, K.; Adamopoulos, P.G.; Tsiakanikas, P.; Scorilas, A. Exploring the m5C epitranscriptome of mRNAs in breast cancer cells through genome engineering and long-read sequencing approaches. Funct. Integr. Genom. 2025, 25, 136. [Google Scholar] [CrossRef]
  110. Zhang, Y.Y.; Li, C.T.; Zhou, Y.J.; Li, H.; Li, J.; Xiong, Q.P.; Zhou, W.; Huang, W.; Zhang, Q.C.; Xiang, Y.; et al. A cohort of mRNAs undergo high-stoichiometry NSUN6-mediated site-specific m5C modification. Nat. Commun. 2025, 16, 6119. [Google Scholar] [CrossRef]
  111. Campbell, T.M.; Castro, M.A.A.; de Oliveira, K.G.; Ponder, B.A.J.; Meyer, K.B. ERalpha Binding by Transcription Factors NFIB and YBX1 Enables FGFR2 Signaling to Modulate Estrogen Responsiveness in Breast Cancer. Cancer Res. 2018, 78, 410–421. [Google Scholar] [CrossRef]
  112. Li, M.; Li, J.; Wen, H.; Li, J.; Wang, S.; Guo, J.; Zhang, D.; Zhang, A.; Cui, C.; Fu, R.; et al. NSUN2-mediated m5C hypermethylation of hsa_circ_0004516 promotes breast cancer brain metastasis by activating AKT signaling. Noncoding RNA Res. 2025, 14, 177–190. [Google Scholar] [CrossRef]
  113. Li, M.; Cui, C.; Li, J.; Zhou, J.; Chen, S.; Yan, J.; Zhang, D.; Zhang, Y.; Xie, P.; Yao, Y.; et al. Enhanced 5-methylcytosine methylation of PSD4 facilitates vasculogenic mimicry in breast cancer brain metastases through ferroptotic resistance. Cell. Signal. 2025, 135, 112022. [Google Scholar] [CrossRef]
  114. Zhang, M.; Tang, C.; Li, S.; Jiang, X.; Li, B.; Chen, Y.; Zheng, Q.; Tang, Y.; Zhu, X.; Huang, L.; et al. NSUN2-mediated m5C modification of KDM6B mRNA enhances osteoclast differentiation and promotes breast cancer bone metastasis. Cancer Lett. 2025, 631, 217939. [Google Scholar] [CrossRef]
  115. Tian, W.; Zhu, L.; Luo, Y.; Tang, Y.; Tan, Q.; Zou, Y.; Chen, K.; Deng, X.; Tang, H.; Li, H.; et al. Autophagy Deficiency Induced by SAT1 Potentiates Tumor Progression in Triple-Negative Breast Cancer. Adv. Sci. 2024, 11, e2309903. [Google Scholar] [CrossRef] [PubMed]
  116. Mahmood, S.; Chernov, A.V.; Khan, S.; Chitteti, R.; Salihah, S.S.; Qureshi, S.A.; Patel, H.H.; Gul, A. NSUN7 Suppression Reduces Metastatic Potential and Restores Sensitivity to 4-OH Tamoxifen in Resistant MCF-7 Cells. Anticancer. Res. 2025, 45, 5321–5339. [Google Scholar] [CrossRef] [PubMed]
  117. Selmi, T.; Hussain, S.; Dietmann, S.; Heiss, M.; Borland, K.; Flad, S.; Carter, J.M.; Dennison, R.; Huang, Y.L.; Kellner, S.; et al. Sequence- and structure-specific cytosine-5 mRNA methylation by NSUN6. Nucleic Acids Res. 2021, 49, 1006–1022. [Google Scholar] [CrossRef] [PubMed]
  118. Wang, L.; Gao, S. Identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer. Biol. Res. 2021, 54, 18. [Google Scholar] [CrossRef]
  119. Xu, J.; Liu, X.; Chen, Y.; Wang, Y.; Liu, T.; Yi, P. RNA 5-Methylcytosine Regulators Contribute to Metabolism Heterogeneity and Predict Prognosis in Ovarian Cancer. Front. Cell Dev. Biol. 2022, 10, 807786. [Google Scholar] [CrossRef]
  120. Zheng, P.; Li, N.; Zhan, X. Ovarian cancer subtypes based on the regulatory genes of RNA modifications: Novel prediction model of prognosis. Front. Endocrinol. 2022, 13, 972341. [Google Scholar] [CrossRef]
  121. Liu, Y.; Liu, S.; Yan, L.; Zhang, Q.; Liu, W.; Huang, X.; Liu, S. Contribution of m5C RNA Modification-Related Genes to Prognosis and Immunotherapy Prediction in Patients with Ovarian Cancer. Mediat. Inflamm. 2023, 2023, 1400267. [Google Scholar] [CrossRef]
  122. Liu, X.; Wei, Q.; Yang, C.; Zhao, H.; Xu, J.; Mobet, Y.; Luo, Q.; Yang, D.; Zuo, X.; Chen, N.; et al. RNA m5C modification upregulates E2F1 expression in a manner dependent on YBX1 phase separation and promotes tumor progression in ovarian cancer. Exp. Mol. Med. 2024, 56, 600–615. [Google Scholar] [CrossRef]
  123. Gao, K.; Lian, W.; Zhao, R.; Huang, W.; Xiong, J. The joint role of methylation and immune-related lncRNAs in ovarian cancer: Defining molecular subtypes and developing prognostic signature. Transl. Oncol. 2023, 34, 101704. [Google Scholar] [CrossRef]
  124. Meng, L.; Zhang, Q.; Huang, X. Comprehensive Analysis of 5-Methylcytosine Profiles of Messenger RNA in Human High-Grade Serous Ovarian Cancer by MeRIP Sequencing. Cancer Manag. Res. 2021, 13, 6005–6018. [Google Scholar] [CrossRef] [PubMed]
  125. Yang, S.; Zhou, D.; Zhang, C.; Xiang, J.; Xi, X. Function of m5C RNA methyltransferase NOP2 in high-grade serous ovarian cancer. Cancer Biol. Ther. 2023, 24, 2263921. [Google Scholar] [CrossRef] [PubMed]
  126. Huang, X.; Lao, X.; He, C.; Wang, J.; Pan, Y. The mechanism of sevoflurane affecting ovarian cancer cell proliferation and migration by regulating RNA methylase TRDMT1 to activate the beta-catenin pathway. Cell Biol. Toxicol. 2024, 40, 108. [Google Scholar] [CrossRef]
  127. Tian, Y.; Liu, J.; Sun, L.; Wang, X. ALYREF regulates the m5C modification and stability of BIRC5 mRNA to promote ovarian cancer progression. Pathol. Res. Pract. 2025, 272, 156055. [Google Scholar] [CrossRef]
  128. Meng, H.; Miao, H.; Zhang, Y.; Chen, T.; Yuan, L.; Wan, Y.; Jiang, Y.; Zhang, L.; Cheng, W. YBX1 promotes homologous recombination and resistance to platinum-induced stress in ovarian cancer by recognizing m5C modification. Cancer Lett. 2024, 597, 217064. [Google Scholar] [CrossRef]
  129. Yang, S.; He, P.; Wang, W.; Xu, X.; Xi, X.; Li, Y. Multi-omics analysis reveals that ALYREF-mediated m5C modification promotes platinum resistance in ovarian cancer via the NSUN2/ALYREF/LGR4 axis. Cell Death Dis. 2025, 17, 77. [Google Scholar] [CrossRef]
  130. Zhang, K.; Cheng, G.; Jiang, W.; Kong, B.; Yao, S.; Liu, X. 5-methylcytosine regulated CCNL2 promotes tumorigenesis and cisplatin resistance of ovarian cancer with therapeutic implications. J. Ovarian Res. 2025, 18, 162. [Google Scholar] [CrossRef]
  131. Gao, W.; Chen, L.; Lin, L.; Yang, M.; Li, T.; Wei, H.; Sha, C.; Xing, J.; Zhang, M.; Zhao, S.; et al. SIAH1 reverses chemoresistance in epithelial ovarian cancer via ubiquitination of YBX-1. Oncogenesis 2022, 11, 13. [Google Scholar] [CrossRef] [PubMed]
  132. Wang, C.; Zhang, C.; Yang, S.; Xiang, J.; Zhou, D.; Xi, X. Identification and validation of m5c-related lncRNA risk model for ovarian cancer. J. Ovarian Res. 2023, 16, 96. [Google Scholar] [CrossRef] [PubMed]
  133. Chen, L.; Ma, R.; Wu, L.; Wang, D.; Li, J.; Guo, L. m5C-Modified lncRNA SNHG15 Promotes Ovarian Cancer Progression Via the miR-545-3p/PD-L1 Axis. Reprod. Sci. 2025, 32, 2595–2606. [Google Scholar] [CrossRef]
  134. Gu, W.X.; Chen, Y.; Wang, W. Immune Infiltrates of m5C RNA Methylation-Related LncRNAs in Uterine Corpus Endometrial Carcinoma. J. Oncol. 2022, 2022, 1531474. [Google Scholar] [CrossRef] [PubMed]
  135. Chen, S.J.; Zhang, J.; Zhou, T.; Rao, S.S.; Li, Q.; Xiao, L.Y.; Wei, S.T.; Zhang, H.F. Epigenetically upregulated NSUN2 confers ferroptosis resistance in endometrial cancer via m5C modification of SLC7A11 mRNA. Redox Biol. 2024, 69, 102975. [Google Scholar] [CrossRef]
  136. Yang, S.; Luo, Y.; Zhou, D.; Xiang, J.; Xi, X. RNA 5-Methylcytosine regulators are associated with cell adhesion and predict prognosis of endometrial cancer. Transl. Cancer Res. 2023, 12, 2556–2571. [Google Scholar] [CrossRef]
  137. Wang, L.; Zhang, J.; Su, Y.; Maimaitiyiming, Y.; Yang, S.; Shen, Z.; Lin, S.; Shen, S.; Zhan, G.; Wang, F.; et al. Distinct Roles of m5C RNA Methyltransferase NSUN2 in Major Gynecologic Cancers. Front. Oncol. 2022, 12, 786266. [Google Scholar] [CrossRef]
  138. Chen, Y.; Zuo, X.; Wei, Q.; Xu, J.; Liu, X.; Liu, S.; Wang, H.; Luo, Q.; Wang, Y.; Yang, Y.; et al. Upregulation of LRRC8A by m5C modification-mediated mRNA stability suppresses apoptosis and facilitates tumorigenesis in cervical cancer. Int. J. Biol. Sci. 2023, 19, 691–704. [Google Scholar] [CrossRef]
  139. Lu, X.; Yao, L.; Xu, X.; Rexiti, M.G.; He, X.; Yang, Y. m5c-modified LINC01094 participates in epithelial-mesenchymal transition and metastasis of cervical cancer cells via the ZNF582-SIRT1/p53 axis. Mamm. Genome 2026, 37, 32. [Google Scholar] [CrossRef] [PubMed]
  140. Yu, M.; Ni, M.; Xu, F.; Liu, C.; Chen, L.; Li, J.; Xia, S.; Diao, Y.; Chen, J.; Zhu, J.; et al. NSUN6-mediated 5-methylcytosine modification of NDRG1 mRNA promotes radioresistance in cervical cancer. Mol. Cancer 2024, 23, 139. [Google Scholar] [CrossRef]
  141. Gao, Y.; Zou, T. Hypoxia Triggers ALYREF-Mediated m5C Methylation of KIF20A to Activate KIF20A/BUB1 for Generating Ferroptosis Resistance in Cervical Cancer Cells. Kaohsiung J. Med. Sci. 2026, 42, e70093. [Google Scholar] [CrossRef]
  142. Liu, J.; Zhou, L.; Yao, P.; Zhang, N.; Guo, X.; Chen, F.; Yang, S.; Du, X.; Wang, H.; Zhou, Y.; et al. m5C-driven stabilization of SERPINB5 promotes cervical cancer progression and chemotherapy resistance. Cell Death Dis. 2026, 17, 215. [Google Scholar] [CrossRef]
  143. Yu, J.; Liang, L.L.; Liu, J.; Liu, T.T.; Li, J.; Xiu, L.; Zeng, J.; Wang, T.T.; Wang, D.; Liang, L.J.; et al. Development and Validation of a Novel Gene Signature for Predicting the Prognosis by Identifying m5C Modification Subtypes of Cervical Cancer. Front. Genet. 2021, 12, 733715. [Google Scholar] [CrossRef] [PubMed]
  144. Wang, Y.; Mao, Y.; Wang, C.; Jiang, X.; Tang, Q.; Wang, L.; Zhu, J.; Zhao, M. RNA methylation-related genes of m6A, m5C, and m1A predict prognosis and immunotherapy response in cervical cancer. Ann. Med. 2023, 55, 2190618. [Google Scholar] [CrossRef]
  145. Pan, C.; Lin, J.; Dai, X.; Jiao, L.; Liu, J.; Lin, A. An m1A/m6A/m5C-associated long non-coding RNA signature: Prognostic and immunotherapeutic insights into cervical cancer. J. Gene Med. 2024, 26, e3618. [Google Scholar] [CrossRef] [PubMed]
  146. Stricker, T.P.; Brown, C.D.; Bandlamudi, C.; McNerney, M.; Kittler, R.; Montoya, V.; Peterson, A.; Grossman, R.; White, K.P. Robust stratification of breast cancer subtypes using differential patterns of transcript isoform expression. PLoS Genet. 2017, 13, e1006589. [Google Scholar] [CrossRef]
  147. Yang, Q.; Al-Hendy, A. The Regulatory Functions and the Mechanisms of Long Non-Coding RNAs in Cervical Cancer. Cells 2022, 11, 1149. [Google Scholar] [CrossRef]
  148. Luo, Y.; Feng, J.; Xu, Q.; Wang, W.; Wang, X. NSun2 Deficiency Protects Endothelium From Inflammation via mRNA Methylation of ICAM-1. Circ. Res. 2016, 118, 944–956. [Google Scholar] [CrossRef] [PubMed]
  149. Ghanbarian, H.; Wagner, N.; Polo, B.; Baudouy, D.; Kiani, J.; Michiels, J.F.; Cuzin, F.; Rassoulzadegan, M.; Wagner, K.D. Dnmt2/Trdmt1 as Mediator of RNA Polymerase II Transcriptional Activity in Cardiac Growth. PLoS ONE 2016, 11, e0156953. [Google Scholar] [CrossRef]
  150. He, Y.; Zhang, H.; Yin, F.; Guo, P.; Wang, S.; Wu, Y.; Xin, S.; Han, Y.; Zhang, J. Novel insights into the role of 5-Methylcytosine RNA methylation in human abdominal aortic aneurysm. Front. Biosci. (Landmark Ed.) 2021, 26, 1147–1165. [Google Scholar] [CrossRef]
  151. Yang, Y.; Wang, E.; Zhou, B.; Lu, Y.; Ding, X.; Li, Y. Comprehensive Analysis of Differentially Expressed Profiles of mRNA 5-Methylcytosine Modification in Metabolic Dysfunction-Associated Steatotic Liver Disease. Curr. Issues Mol. Biol. 2025, 47, 305. [Google Scholar] [CrossRef]
  152. Matsumura, Y.; Wei, F.Y.; Sakai, J. Epitranscriptomics in metabolic disease. Nat. Metab. 2023, 5, 370–384. [Google Scholar] [CrossRef]
  153. Salehi Omran, S.; Leppert, M. Female-Specific Risk Factors in Cardiovascular Disease: Important or Superfluous? Circ. Cardiovasc. Qual. Outcomes 2024, 17, e011666. [Google Scholar] [CrossRef]
  154. Benak, D.; Kolar, F.; Hlavackova, M. Epitranscriptomic Regulations in the Heart. Physiol. Res. 2024, 73, S185–S198. [Google Scholar] [CrossRef]
  155. Balachander, K.; Priyadharsini, J.V.; Roy, A.; Paramasivam, A. Emerging Role of RNA m5C Modification in Cardiovascular Diseases. J. Cardiovasc. Transl. Res. 2023, 16, 598–605. [Google Scholar] [CrossRef]
  156. Wang, Y.Y.; Tian, Y.; Li, Y.Z.; Liu, Y.F.; Zhao, Y.Y.; Chen, L.H.; Zhang, C. The role of m5C methyltransferases in cardiovascular diseases. Front. Cardiovasc. Med. 2023, 10, 1225014. [Google Scholar] [CrossRef] [PubMed]
  157. Chen, S.Y.; Fang, Y.H.; Huang, C.Y.; Wu, J.H.; Shan, Y.S.; Liu, Y.W.; Huang, P.H. Transcriptome-wide RNA 5-methylcytosine profiles of human iPSCs and iPSC-derived cardiomyocytes. Sci. Data 2024, 11, 1378. [Google Scholar] [CrossRef] [PubMed]
  158. Lewinska, A.; Wnuk, M.; Grabowska, W.; Zabek, T.; Semik, E.; Sikora, E.; Bielak-Zmijewska, A. Curcumin induces oxidation-dependent cell cycle arrest mediated by SIRT7 inhibition of rDNA transcription in human aortic smooth muscle cells. Toxicol. Lett. 2015, 233, 227–238. [Google Scholar] [CrossRef]
  159. Li, B.; Hao, Y.; Tian, W.; Liu, W. RNA 5-Methylcytosine Modification in Myocardial Fibrosis. Rev. Cardiovasc. Med. 2025, 26, 44079. [Google Scholar] [CrossRef]
  160. Komal, S.; Han, S.N.; Cui, L.G.; Zhai, M.M.; Zhou, Y.J.; Wang, P.; Shakeel, M.; Zhang, L.R. Epigenetic Regulation of Macrophage Polarization in Cardiovascular Diseases. Pharmaceuticals 2023, 16, 141. [Google Scholar] [CrossRef] [PubMed]
  161. Wu, Y.; Huang, X.; He, Y.; Chang, J.; Fang, X.; Kang, P.; Feng, N.; Liu, R.; Xiao, P.; Shi, D.; et al. Mechanism of puerarin alleviating myocardial remodeling through NSUN2-mediated m5C methylation modification. Phytomedicine 2025, 143, 156849. [Google Scholar] [CrossRef]
  162. Wang, K.; Li, F.H.; Zhou, L.Y.; Zhao, X.M.; Gao, X.Q.; Liu, C.Y.; Li, X.M.; Chen, X.Z.; Zhao, Y.; Cheng, X.L.; et al. HNEAP Regulates Necroptosis of Cardiomyocytes by Suppressing the m(5) C Methylation of Atf7 mRNA. Adv. Sci. 2023, 10, e2304329. [Google Scholar] [CrossRef]
  163. BoRanyi, B.; Lv, X.; Xiao, D. NSUN2 inhibits NCOA4 expression to alleviate ferroptosis and inflammation in sepsis-induced myocardial injury in a m5C manner. J. Cardiothorac. Surg. 2025, 20, 315. [Google Scholar] [CrossRef] [PubMed]
  164. Gao, X.; Shen, Y.; Xiao, Z.; Han, Z.; Liu, X.; Cai, A.; Tian, Y.; Lian, G.; Ma, W.; Liu, Y.; et al. Preservation of ALYREF Phase Separation Mitigates Doxorubicin-Induced Cardiomyocyte DNA Damage and Cardiotoxicity. Adv. Sci. 2025, 12, e05270. [Google Scholar] [CrossRef]
  165. Sun, Z.; Li, N.; Huang, M.; Li, Y.; Wang, C.; Qu, Z.; Yu, S.; Mei, Z.; Wu, B.; Dou, S.; et al. Myofibroblast specific knockdown of NSUN2 suppresses cardiac fibrosis post-myocardial infarction. J. Mol. Cell. Cardiol. 2025, 209, 27–36. [Google Scholar] [CrossRef]
  166. Wang, Y.; Zan, Y.; Huang, Y.; Peng, X.; Ma, S.; Ren, J.; Li, X.; Wei, L.; Wang, X.; Yuan, Y.; et al. NSUN2 alleviates doxorubicin-induced myocardial injury through Nrf2-mediated antioxidant stress. Cell Death Discov. 2023, 9, 43. [Google Scholar] [CrossRef]
  167. Jian, D.; Cheng, X.; Qi, D.; Wang, S.; Wang, C.; Shi, Y.; Li, Z.; Jin, S.; Jia, Z.; Teng, P.; et al. Nsun2 controls cardiac homeostasis and hypertrophic response by regulating PRKACA expression. Theranostics 2025, 15, 2393–2412. [Google Scholar] [CrossRef]
  168. Sun, H.; Liao, X.; Wang, S.; Yuan, H.; Bai, J.; Feng, H.; Li, M.; Song, X.; Ma, C.; Zhang, L.; et al. 5-Methylcytosine-modified circRNA-CCNL2 regulates vascular remdeling in hypoxic pulmonary hypertension through binding to FXR2. Int. J. Biol. Macromol. 2025, 296, 139638. [Google Scholar] [CrossRef]
  169. Zhao, H.; Kong, Y.; Ding, P.; Yang, L.; Li, N. The role of 5-methylcytosine regulator-related genes in diagnostic and immune regulatory functions in atherosclerosis. Front. Immunol. 2025, 16, 1636323. [Google Scholar] [CrossRef] [PubMed]
  170. Hao, Y.; Li, B.; Tian, W.; Yin, F.; Liu, W. The m5C reader Alyref regulates cardiac remodeling post-myocardial infarction by modulating extracellular matrix protein synthesis in cardiac fibroblasts. Biochim. Biophys. Acta Mol. Cell Res. 2025, 1872, 120011. [Google Scholar] [CrossRef]
  171. Liu, J.C.; Wang, W.J.; Zhang, T.T.; Yang, Q.C.; Dilimulati, H.; An, S.T. TET3-Mediated m5C Modification of CCAT2 Accelerates Cardiac Microvascular Endothelial Cell Damage in Acute Coronary Syndrome. Kaohsiung J. Med. Sci. 2025, e70128. [Google Scholar] [CrossRef] [PubMed]
  172. Mosca, L.; Barrett-Connor, E.; Wenger, N.K. Sex/gender differences in cardiovascular disease prevention: What a difference a decade makes. Circulation 2011, 124, 2145–2154. [Google Scholar] [CrossRef]
  173. Zhang, B.; Jiang, H.; Dong, Z.; Sun, A.; Ge, J. The critical roles of m6A modification in metabolic abnormality and cardiovascular diseases. Genes. Dis. 2021, 8, 746–758. [Google Scholar] [CrossRef]
  174. DiTosto, J.D.; Lewey, J.; Zee, J.; Dokras, A.; Busse, K.R.; Alur-Gupta, S.; Hinkle, S.; Schisterman, E.F.; Mumford, S.L.; Caniglia, E.C. Association Between Uterine Fibroids and Risk of Atherosclerotic Cardiovascular Disease. J. Am. Heart Assoc. 2026, 15, e044014. [Google Scholar] [CrossRef]
  175. Countouris, M.E.; Bello, N.A. Advances in Our Understanding of Cardiovascular Diseases After Preeclampsia. Circ. Res. 2025, 136, 583–593. [Google Scholar] [CrossRef]
  176. Parikh, N.I.; Gonzalez, J.M.; Anderson, C.A.M.; Judd, S.E.; Rexrode, K.M.; Hlatky, M.A.; Gunderson, E.P.; Stuart, J.J.; Vaidya, D.; American Heart Association Council on Epidemiology and Prevention; et al. Adverse Pregnancy Outcomes and Cardiovascular Disease Risk: Unique Opportunities for Cardiovascular Disease Prevention in Women: A Scientific Statement From the American Heart Association. Circulation 2021, 143, e902–e916. [Google Scholar] [CrossRef] [PubMed]
  177. Badejogbin, O.C.; Agunloye, M.O.; Chijioke-Agu, O.E.; Olubiyi, M.V.; Olugbuyiro, S.O.; Soetan, O.A.; Bamgbose, O.A.; Olaleye, T.O. Cardiovascular Dysfunction in Polycystic Ovary Syndrome: Mitochondrial and Inflammatory Mechanisms. Biomed. Res. Int. 2026, 2026, 1110229. [Google Scholar] [CrossRef]
  178. Lee, I.; Dokras, A.; Alur-Gupta, S. Association of polycystic ovary syndrome with atherosclerotic cardiovascular disease events. Fertil. Steril. 2025, 124, 919–930. [Google Scholar] [CrossRef]
  179. Mu, F.; Rich-Edwards, J.; Rimm, E.B.; Spiegelman, D.; Missmer, S.A. Endometriosis and Risk of Coronary Heart Disease. Circ. Cardiovasc. Qual. Outcomes 2016, 9, 257–264. [Google Scholar] [CrossRef] [PubMed]
  180. El Khoudary, S.R.; Aggarwal, B.; Beckie, T.M.; Hodis, H.N.; Johnson, A.E.; Langer, R.D.; Limacher, M.C.; Manson, J.E.; Stefanick, M.L.; Allison, M.A.; et al. Menopause Transition and Cardiovascular Disease Risk: Implications for Timing of Early Prevention: A Scientific Statement From the American Heart Association. Circulation 2020, 142, e506–e532. [Google Scholar] [CrossRef]
  181. Yang, Q.; Al-Hendy, A.; Boyer, T.G. Molecular Insights into Widespread Pseudouridine RNA Modifications: Implications for Women’s Health and Disease. Biology 2026, 15, 142. [Google Scholar] [CrossRef] [PubMed]
  182. Shi, H.; Li, Z.; Zou, Q.; Yang, H. Research on RNA modification in disease diagnosis and prognostic biomarkers: Current status and challenges. Brief. Bioinform. 2025, 26, bbaf361. [Google Scholar] [CrossRef]
  183. Barbieri, I.; Kouzarides, T. Role of RNA modifications in cancer. Nat. Rev. Cancer 2020, 20, 303–322. [Google Scholar] [CrossRef]
  184. Chen, H.; Liu, H.; Zhang, C.; Xiao, N.; Li, Y.; Zhao, X.; Zhang, R.; Gu, H.; Kang, Q.; Wan, J. RNA methylation-related inhibitors: Biological basis and therapeutic potential for cancer therapy. Clin. Transl. Med. 2024, 14, e1644. [Google Scholar] [CrossRef] [PubMed]
  185. Hou, X.; Dong, Q.; Hao, J.; Liu, M.; Ning, J.; Tao, M.; Wang, Z.; Guo, F.; Huang, D.; Shi, X.; et al. NSUN2-mediated m5C modification drives alternative splicing reprogramming and promotes multidrug resistance in anaplastic thyroid cancer through the NSUN2/SRSF6/UAP1 signaling axis. Theranostics 2025, 15, 2757–2777. [Google Scholar] [CrossRef] [PubMed]
  186. Yang, Q.; Boyer, T.G.; Al-Hendy, A. Pseudouridine Synthase 7 in Cancer: Functions, Mechanisms, and Therapeutic Potential. Cells 2025, 14, 1380. [Google Scholar] [CrossRef] [PubMed]
  187. An, K.; Liu, R.; Yang, H.; Feng, L.; Zhang, X.; Zhang, X.; Hou, M.; Wei, J.; Han, X.; Shi, B.; et al. Dynamic landscape and regulation of m5C methylation in human tissues. Sci. China Life Sci. 2025, 68, 3203–3216. [Google Scholar] [CrossRef]
  188. Cai, P.; Li, J.; An, M.; Li, M.; Guo, J.; Li, J.; Li, X.; Chen, S.; Zhang, A.; Li, P.; et al. Comprehensive analysis of RNA-5-methylcytosine modification in breast cancer brain metastasis. Future Oncol. 2024, 20, 2993–3008. [Google Scholar] [CrossRef]
  189. Ranga, S.; Yadav, R.; Chauhan, M.; Chhabra, R.; Ahuja, P.; Balhara, N. Modifications of RNA in cancer: A comprehensive review. Mol. Biol. Rep. 2025, 52, 321. [Google Scholar] [CrossRef]
  190. Wang, Y.; Navin, N.E. Advances and applications of single-cell sequencing technologies. Mol. Cell 2015, 58, 598–609. [Google Scholar] [CrossRef]
  191. Tirosh, I.; Izar, B.; Prakadan, S.M.; Wadsworth, M.H., 2nd; Treacy, D.; Trombetta, J.J.; Rotem, A.; Rodman, C.; Lian, C.; Murphy, G.; et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq. Science 2016, 352, 189–196. [Google Scholar] [CrossRef]
Figure 1. Overview of RNA m5C modification, associated enzymes, and functional consequences. Upper panel: Schematic representation of m5C RNA modification and its regulatory machinery. RNA cytosine residues are methylated by m5C “writer” enzymes, including members of the NSUN family and DNMT2, resulting in the formation of m5C. m5C-modified RNAs are recognized by reader proteins such as ALYREF and YBX1, which mediate downstream effects on RNA metabolism. Lower panel: summary of major RNA substrates of m5C modification, the corresponding methyltransferases, and their functional consequences. m5C modification of tRNA regulates folding, stabilization, and translation fidelity; rRNA modification controls ribosome biogenesis and assembly; mRNA methylation influences stability, translation efficiency, stress responses, and cell differentiation; lncRNA methylation modulates RNA biogenesis, processing, stability, and RNA–protein interactions; and other noncoding RNAs are involved in transcription elongation and RNA splicing. MTases: methyltransferases.
Figure 1. Overview of RNA m5C modification, associated enzymes, and functional consequences. Upper panel: Schematic representation of m5C RNA modification and its regulatory machinery. RNA cytosine residues are methylated by m5C “writer” enzymes, including members of the NSUN family and DNMT2, resulting in the formation of m5C. m5C-modified RNAs are recognized by reader proteins such as ALYREF and YBX1, which mediate downstream effects on RNA metabolism. Lower panel: summary of major RNA substrates of m5C modification, the corresponding methyltransferases, and their functional consequences. m5C modification of tRNA regulates folding, stabilization, and translation fidelity; rRNA modification controls ribosome biogenesis and assembly; mRNA methylation influences stability, translation efficiency, stress responses, and cell differentiation; lncRNA methylation modulates RNA biogenesis, processing, stability, and RNA–protein interactions; and other noncoding RNAs are involved in transcription elongation and RNA splicing. MTases: methyltransferases.
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Figure 2. Proposed mechanisms of NSUN2 in gynecological cancers. Schematic illustration summarizing the regulatory roles of NSUN2 across cervical, ovarian, and endometrial cancers. Left panel (ovarian cancer): NSUN2 forms a regulatory loop with YBX1 and E2F1. NSUN2-mediated RNA methylation stabilizes YBX1-associated transcripts, facilitating E2F1 activation. E2F1 in turn promotes transcription of cell cycle–related genes (e.g., MYBL2 and RAD54L) and enhances NSUN2 promoter activity, thereby establishing a positive feedback circuit that drives ovarian cancer proliferation [122]. Middle panel (endometrial cancer): Epigenetic regulation by KDM5A modulates H3K4me3 levels at the NSUN2 promoter, increasing NSUN2 transcription. Elevated NSUN2 catalyzes m5C methylation of SLC7A11 mRNA, which is recognized by YBX1, enhancing transcript stability and expression [135]. This pathway contributes to metabolic adaptation and tumor growth in endometrial cancer. Right panel (cervical cancer): NSUN2 enhances the translation of KRT13 mRNA through interaction with the RNA-binding protein YBX1 and m5C RNA methylation, leading to increased migration and invasion, and promoting cervical tumor progression [137]. Arrows indicate activation or promotion, and red dots represent m5C RNA methylation marks. The uterus icons depict the associated tumor type for each pathway.
Figure 2. Proposed mechanisms of NSUN2 in gynecological cancers. Schematic illustration summarizing the regulatory roles of NSUN2 across cervical, ovarian, and endometrial cancers. Left panel (ovarian cancer): NSUN2 forms a regulatory loop with YBX1 and E2F1. NSUN2-mediated RNA methylation stabilizes YBX1-associated transcripts, facilitating E2F1 activation. E2F1 in turn promotes transcription of cell cycle–related genes (e.g., MYBL2 and RAD54L) and enhances NSUN2 promoter activity, thereby establishing a positive feedback circuit that drives ovarian cancer proliferation [122]. Middle panel (endometrial cancer): Epigenetic regulation by KDM5A modulates H3K4me3 levels at the NSUN2 promoter, increasing NSUN2 transcription. Elevated NSUN2 catalyzes m5C methylation of SLC7A11 mRNA, which is recognized by YBX1, enhancing transcript stability and expression [135]. This pathway contributes to metabolic adaptation and tumor growth in endometrial cancer. Right panel (cervical cancer): NSUN2 enhances the translation of KRT13 mRNA through interaction with the RNA-binding protein YBX1 and m5C RNA methylation, leading to increased migration and invasion, and promoting cervical tumor progression [137]. Arrows indicate activation or promotion, and red dots represent m5C RNA methylation marks. The uterus icons depict the associated tumor type for each pathway.
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Table 2. m5C RNA Modifications in Female Cancer.
Table 2. m5C RNA Modifications in Female Cancer.
DiseasesSample TypesApproachesMechanismBiological EffectsPublication DateRef.
Breast cancerTumor and adjacent tissues from 5 BC patients; In vitro BC cell models; In vivo BC experimental modelsRNA sequencing, RNA-BisSeq (single-based m5C mapping), MeRIP-qPCR, RIP-qPCR, proteomics, co-immunoprecipitation, and ribosome profiling.NSUN2 mediates m5C modification of HGH1 mRNA, with YBX1 binding to m5C sites to enhance mRNA stability and promote translation via interaction with EEF2.NSUN2/YBX1-driven m5C modification stabilizes HGH1, increases protein synthesis, promotes BC cell proliferation and progression, and represents a potential therapeutic target.Jun, 2024[107]
Breast cancer Human TNBC tumor tissues; TNBC cell lines; mouse xenograft tumor modelsRNA interference, lentiviral transduction, in vivo xenografts, ribosome sequencing, tRNA m5C bisulfite sequencing, codon usage analysis, glycolysis assays, and molecular docking.NSUN2 mediates m5C modification of tRNA, enhancing codon-biased translation of glycolysis-related genes Promotes glycolysis, TNBC cell proliferation, migration, invasion, and docetaxel resistance; NSUN2 inhibition suppresses tumor growth and sensitizes cells to chemotherapyAug, 2025[108]
Breast cancerHuman BC cell lines, patient-derived tumor samplesMapping the m5C landscape across different BC subtypes; CRISPR/Cas9 gene editing; Comparative methylation analysis:NSUN2-mediated m5C modification regulates mRNA stability and expression, with subtype-specific hypo- and hypermethylation patternsAltered m5C modifies gene expression networks, contributing to BC progression and providing potential therapeutic targets.Jun, 2025[109]
Breast cancerHuman BC cell linesBiochemical validation of NSUN6 activity on mRNA, site-directed mutagenesis to separate mRNA vs. tRNA catalytic functions, RNA stability assays, binding studies with m5C readers (YBX1 and YBX3), and functional assays for cell migration.NSUN6 catalyzes high-stoichiometry, site-specific m5C modification; these m5C-modified mRNAs are stabilized via preferential binding by m5C readers YBX1 and YBX3, enhancing mRNA stability and promoting BC cell migrationIncreased mRNA stability, enhanced BC cell migration, and potential applicability in stabilizing therapeutic mRNAs for clinical use.Jul, 2025[110]
Breast cancerBC cell modelsProtein–protein interaction assays; Transcriptional activity; reporter assays; Gene expression analysis, signaling modulation experiments Complex interaction studies NFIB and YBX1 bind the ESR1–FOXA1 complex, inhibiting ESR1 transactivation; FGFR2 signaling enhances this interaction, further repressing ESR1 target genesSuppression of ESR1 target gene expression, promotion of estrogen-independent phenotype, and potential contribution to progression of ER-negative BCJan, 2018[111]
Breast Cancer Brain MetastasisBCBM tissues and matched primary BC tissues, 231-BR cells (brain metastatic BC cell line)MeRIP-seq to profile circRNA methylation,
bioinformatics analysis of differential m5C peaks,
knockdown of circRNA (hsa_circ_0004516),
NSUN2 depletion and catalytic mutant analysis
NSUN2 catalyzes m5C methylation of hsa_circ_0004516, enhancing its stability in a catalytic-dependent manner and thereby activating AKT signaling to establish the NSUN2–m5C–circRNA–AKT axis.Increased proliferation, migration, and invasion of metastatic BC cells, promoted brain metastasis progressionAug, 2025[112]
Breast Cancer Brain MetastasisBCBM tissues and BC cell lines, In vivo brain metastasis modelsGene overexpression and functional assays In vivo metastasis studies, m5C epitranscriptomic analysis,
mutational analysis (NSUN2 catalytic mutants),
Investigation of m5C reader involvement
NSUN2-mediated m5C methylation of PSD4 mRNA enhances its stability and nuclear export, with YBX1 binding facilitating PSD4 regulation, leading to ferroptosis resistance and vasculogenic mimicryThis regulation promotes cancer cell proliferation, invasion, migration, EMT, vasculogenic mimicry, reduced vascular permeability, ferroptosis resistance, and ultimately brain metastasis progression.Nov, 2025[113]
Breast cancer with bone metastasisHuman bone metastatic lesions vs. adjacent non-metastatic bone tissues; experimental BC cell lines and in vivo mouse modelsNSUN2 overexpression and knockdown, m5C RNA modification assays, osteoclast differentiation assaysNSUN2- mediates m5C on KDM6B mRNA promotes its degradation, activates Notch signaling via NUMB hypermethylation upregulating RANKL, thereby accelerating osteoclast differentiation through the NSUN2–KDM6B–Notch axis.Increased osteoclast differentiation, enhanced osteolytic bone metastasis, and activation of bone-tumor microenvironment signaling; pharmacological targeting of KDM6B or Notch pathway mitigates these effects.Oct, 2025[114]
Breast cancerTNBC patient samples, TNBC cell lines, xenograft mouse modelExpression and clinical correlation, functional studies, protein–protein interaction studySAT1 stabilizes YBX1 via deubiquitination, enhancing m5C-mediated stabilization of mTOR mRNA and suppressing autophagyIncreased proliferation, migration, tumor growth, and autophagy deficiency leading to TNBC progressionSep, 2024[115]
Breast CancerBC cell lineEpitranscriptomic profiling, functional studies, transcriptomic and network analysism5C elevation in tamoxifen resistance, NSUN7-mediated m5C modification regulates genesIncreased tamoxifen resistance, enhanced migration and clonogenicity, and association with poor prognosisDec, 2025[116]
Breast and Ovarian cancerHuman OC tissues and human BC cell lineGene expression analysis in the GTEx database and NSUN6 knockdown studies.NSUN6 is downregulated in OC. Knockdown NSUN6 decreased BC migration.NSUN6 may exert tumor-suppressive effects in OC but tumor-promoting effects in BCJan, 2021[117]
Ovarian cancerHuman OC transcriptomic datasetsMolecular Subtyping, DEG analysis, Risk Model Construction related to m5C-related genesDysregulated m5C regulatory genes alter RNA methylation and gene expression networks driving tumor progressionDistinct prognostic subtypes, enhanced malignant progression, and independent survival predictionJun, 2021[118]
Ovarian cancerOC patients from TCGAConsensus clustering, pathway enrichment analysis, chemotherapy sensitivity prediction, LASSO prognostic modelingDistinct m5C regulatory patterns drive metabolic heterogeneity, influencing tumor progression and chemotherapy responseDifferential survival outcomes, varied chemotherapy sensitivity, and prognostic stratification based on m5C-related genesMar, 2022[119]
Ovarian CancerTCGA OC RNA-seq and clinical datasetNonnegative matrix factorization (NMF) clustering, differential expression analysis, LASSO regression modeling, survival and immune correlation analysisDysregulation of RNA-modification regulatory genes drives epitranscriptomic heterogeneity affecting tumor biology and immune microenvironmentDistinct prognostic subtypes, altered drug sensitivity, immune modulation, and survival differencesDec, 2022[120]
Ovarian cancerTCGA and ICGC datasetsMeRIP-seq identification of m5C genes and LASSO-based prognostic modeling with immune analysism5C-related genes regulate tumor progression and immune microenvironmentPredicts survival and immunotherapy response in OC patientsNov, 2023[121]
Ovarian cancerHuman OC patient tumor datasets/tissues and OC cell modelsRNA methylation assays, mRNA stability analysis, transcription factor binding studies, phase separation assays, and gene expression/prognostic correlation analysisNSUN2 mediates E2F1 mRNA(m5C), which is recognized by YBX1 to enhance E2F1 expression, E2F1 then activates NSUN2, forming a positive feedback loopUpregulation of E2F1, activation of oncogenes MYBL2 and RAD54L, promotion of tumor progression, and association with poorer prognosis in OCMar, 2024[122]
Ovarian cancerTCGA transcriptomic datasetMulti-omics bioinformatics clustering and Cox/random forest-based risk modelingEpigenetic (m6A/m5C/m1A/m7G)-related immune lncRNAs regulate tumor microenvironment and mutation heterogeneityDefines prognostic subtypes and predicts immune checkpoint and chemotherapy responseAug, 2023[123]
Ovarian cancerHGSOC tissue m5C profiling of lncRNAs, RNA-seq integration, pathway enrichment, clinical correlation analysisDysregulated m5C methylation in lncRNAs alters PI3K-Akt and cancer-related signaling pathwaysIncreased tumor growth, invasion, metastasis, and poor prognosisDec, 2021[124]
Ovarian cancerHGSOC and normal fimbria tissuesExpression analysis, functional characterization, downstream target identification, and m5C RNA methylation analysis.NSUN1 overexpression may increase m5C methylation, enhance RAPGEF4 expression, and subsequently activate pro-tumorigenic signaling pathways.NSUN1 is involved in cell proliferation, migration, and invasion, and may serve as a potential diagnostic biomarker.Dec, 2023[125]
Ovarian cancerOC cell lines (OVCAR3, SKOV3) and in vivo modelsSevoflurane treatment with DNMT2/APC modulation and functional assays for malignancy and m5C methylationDNMT2-mediated m5C modification of APC mRNA activates β-catenin signaling under Sevoflurane exposureIncreased proliferation, migration, invasion, cell cycle progression, reduced apoptosis, and enhanced tumor growthDec, 2024[126]
Ovarian cancerOC tissues, cell lines, and xenograftsm5C binding studies, functional cell assays, and in vivo tumor modelsALYREF stabilizes m5C-modified BIRC5 mRNA to drive oncogenic processesPromotes OC proliferation, migration, invasion, glycolysis, and tumor growth; knockdown inhibits malignant progressionAug, 2025[127]
Ovarian cancerPDOs, OC cells, and xenograft modelsm5C–YBX1 interaction analysis and functional drug-resistance assaysYBX1 binds m5C-modified CHD3 mRNA to enhance homologous recombination and DNA repairPromotes platinum resistance and tumor survival under chemotherapeutic stressAug, 2024[128]
Ovarian cancerCisplatin-resistant OC cell lines and patient samplesMulti-omics profiling and functional ALYREF/NSUN2 modulation assaysNSUN2-mediated m5C on LGR4 mRNA is recognized by ALYREF, stabilizing LGR4 and activating Wnt/β-catenin signalingPromotes chemoresistance and survival of OC cellsDec, 2025[129]
Ovarian cancerOC tissues, cell lines, and PDX modelsm5C profiling, YBX1/MATR3 functional assays, and in vitro/in vivo chemosensitivity testingYBX1 stabilizes m5C-modified CCNL2 mRNA, cooperating with MATR3 to promote proliferation and chemoresistanceEnhanced tumor growth and cisplatin resistance; YBX1 inhibition restores chemosensitivityJul, 2025[130]
Ovarian cancerChemoresistant and chemosensitive tissues, epithelial ovarian cancer (EOC) cell lines, xenograft modelsExpression analysis, ubiquitination assays, functional overexpression studies, in vivo validationSIAH1 ubiquitinates YBX1 at Lys304, promoting its degradation and destabilizing m5C-modified mRNAsIncreased cisplatin sensitivity, reduced tumor growth, and reversal of chemoresistanceMar, 2022[131]
Ovarian cancerOC patient samples from databases and in vitro OC cell linesIdentification of m5C-related lncRNAs, nine-lncRNA risk model via LASSO-Cox regression, survival and nomogram analysis, GSEA, immune infiltration, WGCNA, ceRNA network, and functional assaysm5C-related lncRNAs regulate gene expression and immune infiltration, promoting tumor progression and OC cell proliferationRisk model stratifies prognosis; AC005562.1 drives OC cell proliferation; pathways and immune profiles differ by risk group; potential biomarkers identifiedMay, 2023[132]
Ovarian cancerOC cell lines and tumor-bearing micem5C-modification analysis, lncRNA/miRNA interaction studies, functional and in vivo assaysNSUN2-mediated m5C stabilizes SNHG15, which sponges miR-545-3p to upregulate PD-L1Promote proliferation, immune evasion, and tumor growth; knockdown of SNHG15 restores anti-tumor immunityAug, 2025[133]
Uterine corpus endometrial carcinoma (UCEC)TCGA transcriptomic datasetConsensus clustering and LASSO-based prognostic risk modeling with immune infiltration analysism5C-related lncRNAs influence tumor progression and immune microenvironmentPredicts prognosis and correlates with tumor grade, PD-L1 expression, and immune infiltrationMar, 2022[134]
Endometrial cancerEC patient tissues, EC cell lines, and in vivo tumor xenograft modelsEpigenetic and m5C sequencing analyses, ferroptosis assays, knockdown/rescue experimentsNSUN2-mediated m5C stabilizes SLC7A11 via YBX1, suppressing ferroptosisPromotes proliferation and ferroptosis resistance; targeting NSUN2 enhances ferroptotic tumor suppressionFeb, 2024[135]
Endometrial cancerTCGA/GEO datasets and in vitro cell experimentsClustering, pathway enrichment, and LASSO-based prognostic modelingm5C regulators (NSUN2, YBX1) modulate cell adhesion pathwaysDistinct m5C patterns correlate with prognosis and survival predictionOct, 2023[136]
Cervical cancerCC cancer cell lineTranscriptome-wide m5C profiling combined with NSUN2 depletion/rescue, RNA-binding assays, and mRNA export analyses.NSUN2 installs m5C on CG-rich mRNA regions, which are recognized by ALYREF to facilitate nuclear–cytoplasmic mRNA export.m5C promotes efficient mRNA export and regulates post-transcriptional gene expression in mammalian cells.Apr, 2017[18]
Cervical, ovarian, and endometrial cancerGynecologic cancer cell lines (cervical, ovarian, endometrial); comparative cellular models across cancer typesNSUN2 knockdown and overexpression, migration and invasion assays, catalytic activity rescue experiments, and molecular interaction analysis.NSUN2 mediates m5C methylation of KRT13 mRNA, which is recognized and stabilized by the m5C reader YBX1, promoting oncogenic activity.In CC, NSUN2 depletion inhibits cell migration and invasion, whereas NSUN2 has minimal functional impact in ovarian and EC cells, highlighting a cancer-specific oncogenic pathwayFeb, 2022[137]
Cervical cancer CC tissues, cell lines, and in vivo modelsFunctional assays, m5C modification analysis, RNA-protein interaction studiesNSUN2-mediated m5C stabilizes LRRC8A via YBX1 bindingPromotes proliferation and metastasis by suppressing apoptosisJan, 2023[138]
Cervical cancerClinical CC specimens and CC cell lines (Caski, SiHa)Bioinformatics, proliferation/migration assays, Western blot, knockdown/rescue, m5C RNA analysisNSUN2-mediated m5C stabilizes LINC01094, which activates SIRT1 via ZNF582, suppressing p53Promotes EMT, metastasis, proliferation, and inhibits apoptosis in CC cellsFeb, 2026[139]
Cervical cancerPatient samples, cell lines, CDX, and 3D PDO modelsLC-MS/MS, RNA-seq, m5C-seq, RIP, functional radiosensitivity assaysNSUN6-mediated m5C modification stabilizes NDRG1 mRNA via ALYREF, enhancing homologous recombination DNA repairPromotes radioresistance and poor prognosis; NSUN6 inhibition restores radiosensitivityJul, 2024[140]
Cervical cancerCC cell linesMeRIP, RIP, Co-IP, RT-qPCR, Western blot, functional ferroptosis and viability assaysALYREF stabilizes KIF20A mRNA via m5C methylation; KIF20A activates BUB1 to induce ferroptosis resistancePromotes hypoxia-induced ferroptosis resistance; disruption of the ALYREF/KIF20A/BUB1 axis sensitizes cells to ferroptosisJan, 2026[141]
Cervical cancerTumor tissuesm5C mapping, transcriptomics, knockdown/overexpression, proliferation, metastasis, and drug sensitivity assaysm5C stabilizes SERPINB5 mRNA, promoting mitotic regulators (CENPE) to overcome drug-induced mitotic arrestDrives tumor growth, metastasis, and chemoresistance; SERPINB5 depletion restores sensitivity to paclitaxel and vincristineFeb, 2026[142]
Cervical cancer TCGA/GEO datasets, CC tissues, SiHa cells NMF clustering of m5C regulators, Cox-based 4-gene signature construction, experimental validationm5C modification subtypes drive differential expression of oncogenic genes (FNDC3A, VEGFA, OPN3, CPE)Defines prognostic subtypes; high-risk signature correlates with poor survival and enhanced proliferation and invasionSep, 2021[143]
Cervical cancerClinical samples and public datasets (TCGA, GSE39001)Bioinformatics modeling, COX regression, immune infiltration analysis, IHC/RT-qPCR validation, and drug screeningm6A, m5C, and m1A methylation-related genes regulate tumor progression and immune microenvironmentPredicts survival, correlates with immune infiltration, and identifies potential immunotherapy targetsDec, 2023[144]
Cervical cancerClinical samples from TCGA databaseBioinformatics-based lncRNA-methylation gene signature construction and validation with survival, immune, and drug response analysesm1A/m6A/m5C-associated lncRNAs regulate gene expression and immune pathwaysPredicts prognosis, immunotherapy response, and potential drug sensitivityJan, 2024[145]
Table 3. The Role of m5C RNA Modifications in Cardiovascular Disease.
Table 3. The Role of m5C RNA Modifications in Cardiovascular Disease.
DiseaseSample TypeApproachesMechanismBiological EffectsPublication DateRef.
Mitochondrial dysfunction–associated cardiomyopathyConditional Nsun4 knockout mouse model; mouse mitochondrial RNA; mitochondrial ribosomal fractionsConditional knockout; mitochondrial translation assays; bisulfite RNA sequencing; ribosome assembly and NSUN4–MTERF4 interaction analysis; mitoribosome biogenesis assaysNSUN4 independently methylates C911 (m5C911) in mitochondrial 12S rRNA, while the NSUN4–MTERF4 complex promotes assembly of ribosomal subunits into a functional monosomeLoss of Nsun4 abolishes mitochondrial translation and disrupts ribosome maturation, impairing mitochondrial protein synthesis and cellular energy homeostasisFeb, 2014[14]
Vascular inflammation/allograft arteriosclerosisCultured vascular endothelial cells; wild-type rat vascular tissue; Nsun−/− rat vascular tissue; rat aortic allograft specimensIn vitro and in vivo mRNA methylation assays, leukocyte adhesion assays, TNF-α and homocysteine stimulation, Nsun2 knockout models, and allograft arteriosclerosis assessmentNSUN2-driven m5C methylation amplifies inflammatory endothelial signaling via translational control of ICAM-1Nsun2 deficiency reduces ICAM-1 induction and leukocyte adhesion attenuating vascular inflammationMar, 2016[148]
Cardiac hypertrophyDnmt2-deficient mouse model; mouse cardiac tissue; isolated cardiomyocytesGenetic knockout mouse model; echocardiography; cardiac morphometric analysis; cellular hypertrophy assays; molecular analysis of P-TEFb complex activity; noncoding RNA interaction studiesDnmt2 deficiency promotes dissociation of the inhibitory noncoding RNA 7SK from the P-TEFb complex, resulting in increased P-TEFb activation and transcriptional programs that drive cardiac growthLoss of Dnmt2 leads to cardiomyocyte enlargement and cardiac hypertrophy while preserving systolic functionJun, 2016[149]
Abdominal aortic aneurysm (AAA)Human AAA tissue (n = 32) vs. normal aortic tissue (n = 12)Global m5C methylation quantification; gene expression analysis; m5C regulators; protein expression analysis; (RIP-seq; Regulatory network analysism5C dysregulation enhances immune-related lncRNA–mRNA networks, promoting inflammatory signaling and macrophage infiltration in AAA tissueElevated m5C and its regulators are associated with inflammatory cell infiltration and immune activation, contributing to AAA pathogenesisNov, 2021[150]
Cardiac regenerationHuman iPSCs; hiPSC-derived cardiomyocytes; metabolically matured CMs; biochemically enhanced CMs.Transcriptome-wide RNA-BS-seq integrated with RNA-seq to profile differential m5C methylation and gene expression during cardiomyocyte differentiation and maturation.Dynamic remodeling of RNA m5C during pluripotency exit and cardiac lineage commitment modulates lineage-specific transcript regulation.Biological effect: m5C reprogramming supports cardiomyocyte differentiation and maturation by regulating stem cell pluripotency and cardiac gene expression programsDec, 2024[157]
Atherosclerosis/vascular restenosisHuman aortic vascular smooth muscle cellsnucleolar morphology analysis, oxidative DNA damage assays, protein expression (p53, p21), rDNA transcription assessment, SIRT7 and DNMT2 expression, RNA methylation analysisCurcumin downregulates SIRT7 and upregulates DNMT2, inhibiting rDNA transcription and promoting RNA methylation, leading to nucleolar stress and cell cycle arrestOxidation-dependent cytostatic effect in VSMCs, reducing proliferation and potentially limiting atherosclerosis or post-angioplasty restenosis.Mar, 2015[158]
Pressure overload–induced myocardial remodeling/heart failureTAC-induced hypertrophic mice; angiotensin II–treated H9c2 cells and neonatal rat cardiomyocytes (NRCMs).Echocardiography, histological staining, Western blot, Dot blot and IHC for m5C, RNA-seq, molecular docking, MST, NSUN2 knockdown, and MeRIP-qPCR validation.Puerarin upregulates and targets NSUN2, enhancing m5C methylation of NF-κB mRNA, which promotes its degradation and suppresses NF-κB signaling activation.Increased NSUN2-mediated m5C modification reduces cardiomyocyte hypertrophy and fibrosis, improves cardiac function, and attenuates myocardial remodeling progressionJul, 2025[161]
Ischemia/reperfusion–induced cardiomyocyte necroptosis/ischemic heart injuryHypoxia/reoxygenation (H/R)–treated cardiomyocytes; I/R-injured mouse heartspiRNA expression analysis, HNEAP knockdown, cardiac function assessment in mice, RNA–protein interaction assays, m5C methylation analysis, and Atf7/Chmp2a expression studiesHNEAP binds DNMT1, suppressing m5C methylation of Atf7 mRNA, elevating ATF7 levels, which represses Chmp2a transcription and promotes cardiomyocyte necroptosisHNEAP promotes necroptotic cardiomyocyte death and worsens cardiac function, while its inhibition reduces necroptosis and protects the heartDec, 2023[162]
Sepsis-induced myocardial injury (SIMI)Cecum ligation and puncture (CLP) rat model of SIMI; LPS-treated H9c2 cardiomyocytes in vitro.RT-qPCR, ELISA, ferroptosis and Western blot assays, MeRIP-qPCR and RIP, luciferase reporter assays, and in vivo/in vitro NSUN2 or NCOA4 overexpressionNSUN2 mediates m5C modification of NCOA4 mRNA, suppressing its expression and thereby inhibiting NCOA4-driven ferroptosis and inflammatory signaling.NSUN2 overexpression reduces inflammation, ferroptosis, myocardial injury, and cardiac dysfunction in SIMI, while improving cardiomyocyte viabilityJul, 2025[163]
Doxorubicin-induced cardiotoxicity (DIC)DOX-treated murine model; cardiomyocyte-specific ALYREF overexpression and knockout mice; cultured cardiomyocytesCardiac-specific genetic manipulation (overexpression and CKO), DNA damage and apoptosis assays, protein interaction and binding analysis, phase separation (LLPS) assays, and ubiquitination studiesDOX binds ALYREF, disrupts its liquid–liquid phase separation, promotes ubiquitin-mediated degradation, destabilizes the NORAD-activated ribonucleoprotein complex, and impairs genomic integrityLoss of ALYREF condensates enhances cardiomyocyte DNA damage, apoptosis, and cardiac dysfunction, whereas preserving ALYREF phase separation mitigates DOX-induced cardiotoxicityNov, 2025[164]
Post-myocardial infarction cardiac fibrosisMyocardial ischemia mouse model with myofibroblast-specific NSUN2 knockdown; cardiac myofibroblasts.Conditional myofibroblast-specific Nsun2 knockdown, fibrosis assessment, and RNA stability evaluation of HuR mediated by m5C modification.NSUN2-mediated m5C modification enhances HuR mRNA stability, promoting pro-fibrotic gene expression in myofibroblastsMyofibroblast-specific Nsun2 knockdown reduces HuR stability and suppresses extracellular matrix deposition, thereby attenuating cardiac fibrosis after myocardial ischemiaDec, 2025[165]
Doxorubicin-induced cardiotoxicityC57BL/6J mice treated with DOX; H9C2 cardiomyocytes in vitroNSUN2 knockdown or overexpression, cardiac function assessment, histopathology, apoptosis and ROS assays, NRF2 protein/mRNA analysis, and m5C MeRIP assaysNSUN2 methylates Nrf2 mRNA (m5C), increasing its stability and protein expression, which enhances the antioxidative stress responseNSUN2 protects cardiomyocytes from DOX-induced apoptosis and oxidative damage, preserving cardiac functionFeb, 2023[166]
Cardiac hypertrophy/heart failureHuman hypertrophic heart tissues; neonatal rat cardiomyocytes; adult mouse cardiomyocytes; cardiac-specific Nsun2 knockout mice under aging, transverse aortic constriction (TAC), and angiotensin II stress.Bulk and single-cell RNA-seq, m5C-RIP-seq, Cre/LoxP cardiac-specific knockout, rAAV9-mediated gene modulation, RNA pull-down, polysome profiling, reporter assays, and IonOptix contractility measurements.NSUN2 catalyzes m5C methylation of PRKACA mRNA, enhancing its translation via YBX1-dependent regulation and promoting activation of PKA signaling.NSUN2-driven PRKACA translation sustains cardiac homeostasis and hypertrophic adaptation, whereas Nsun2 loss impairs PKA signaling, calcium handling, contractility, and accelerates heart failure progression.Jan, 2025[167]
Hypoxic pulmonary hypertensionHypoxia-induced PH models and pulmonary artery smooth muscle cells (PASMCs)circRNA expression analysis, m5C prediction and validation, NSUN2 knockdown, circRNA overexpression, RNA–protein interaction assays (FXR2 binding), and PASMC proliferation assays under hypoxia.NSUN2-mediated m5C modification stabilizes circCCNL2, enabling it to bind and sequester FXR2, thereby preventing FXR2 from interacting with CDKL3 and limiting pro-proliferative signaling in PASMCs.m5C-modified circCCNL2 suppresses PASMC proliferation and attenuates pulmonary vascular remodeling, thereby slowing hypoxic PH progression.Mar, 2025[168]
Atherosclerosis (AS)Public GEO microarray datasets; THP-1–derived macrophages/foam cell model; single-cell RNA-seq immune profiling data.DE/correlation analysis, PPI, LASSO-ROC modeling, clustering, WGCNA, scRNA-seq, qRT-PCR validation, NSUN3 functional assays, and ceRNA predictionm5C regulators (NSUN3/NSUN5) correlate with immune infiltration, and NSUN3 enhances macrophage inflammatory cytokine productionFive diagnostic biomarkers were identified, and NSUN3 drives proinflammatory macrophage responses that promote atherosclerosis progressionJan, 2026[169]
Myocardial infarction–induced cardiac remodelingMouse left anterior descending (LAD) ligation MI model; infarcted mouse myocardial tissue; hypoxia-induced primary neonatal cardiac fibroblasts; single-cell sequencing datasetsIn vivo AAV-mediated Alyref knockdown, siRNA silencing in fibroblasts, single-cell RNA-seq analysis, RIP-seq, immunofluorescence, histopathology, Western blot, and ECM gene expression assays.The m5C reader ALYREF binds target transcripts to enhance extracellular matrix protein synthesis (Col1a2, Col3a1, Eln) via regulation of the Fbln1/Loxl1 pathway in activated cardiac fibroblastsALYREF promotes fibroblast proliferation, transdifferentiation, and collagen/elastin deposition, thereby facilitating post-MI cardiac remodeling, while its silencing impairs ECM synthesis and worsens cardiac functionJun, 2025[170]
Acute coronary syndrome (ACS)Serum from ACS patients; ox-LDL–stimulated cardiac microvascular endothelial cells (CMECs).siRNA TET3 knockdown, RT-qPCR/Western blot, proliferation–apoptosis assays, m5C and RNA stability analysis, RIP, and CCAT2/TRIM14 functional studiesTET3 removes m5C modification from lncRNA CCAT2, reducing its stability and weakening CCAT2–FUS interaction, which releases TRIM14 mRNA from repression and increases TRIM14 expression.Elevated TET3 promotes CMEC apoptosis and impairs proliferation and angiogenesis, thereby aggravating endothelial damage in ACSNov, 2025[171]
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Yang, Q.; Salih, S.M.; Wu, R.; Arora, I.; Mousa, M.; Al-Hendy, A.; Boyer, T.G. 5-Methylcytidine RNA Epitranscriptomics in Women’s Health and Disease: Mechanisms and Clinical Implications. Cells 2026, 15, 847. https://doi.org/10.3390/cells15090847

AMA Style

Yang Q, Salih SM, Wu R, Arora I, Mousa M, Al-Hendy A, Boyer TG. 5-Methylcytidine RNA Epitranscriptomics in Women’s Health and Disease: Mechanisms and Clinical Implications. Cells. 2026; 15(9):847. https://doi.org/10.3390/cells15090847

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Yang, Qiwei, Sana M. Salih, Rongxue Wu, Itika Arora, Mira Mousa, Ayman Al-Hendy, and Thomas G. Boyer. 2026. "5-Methylcytidine RNA Epitranscriptomics in Women’s Health and Disease: Mechanisms and Clinical Implications" Cells 15, no. 9: 847. https://doi.org/10.3390/cells15090847

APA Style

Yang, Q., Salih, S. M., Wu, R., Arora, I., Mousa, M., Al-Hendy, A., & Boyer, T. G. (2026). 5-Methylcytidine RNA Epitranscriptomics in Women’s Health and Disease: Mechanisms and Clinical Implications. Cells, 15(9), 847. https://doi.org/10.3390/cells15090847

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