Search Results (483)

Epilepsy is a heritable neurological disorder that is frequently comorbid with sleeping difficulties, including short/long sleep duration and insomnia. Although epidemiological studies have consistently reported the comorbidity between sleep disturbances and epilepsy, the shared genetic architecture and molecular mechanisms underlying this relationship remain poorly characterized, hindering therapeutic development. In this study, we integrated large-scale genome-wide association study (GWAS) summary statistics of European ancestry to dissect the genetic and molecular links between sleep traits and epilepsy. Using LDSC and GWAS-pw, we identified modest but statistically significant (Bonferroni-corrected) global and local genetic correlations between sleep behaviors and epilepsy. Subsequent CPASSOC cross-trait meta-analysis and transcriptome-wide association studies (TWAS) pinpointed specific pleiotropic loci and shared candidate genes, including SPAG7, VRK2, and LINC00925, which are functionally associated with neuroimmune signaling. While preliminary Phenome-Wide Association Study (PheWAS) profiling of these candidate targets did not identify major adverse associations in current databases, we emphasize that rigorous in vitro and in vivo experimental validations are required before considering them for therapeutic strategies. Finally, pleiotropy-robust bidirectional Mendelian Randomization (MR) analyses suggested unidirectional causal liability from epilepsy to short sleep duration. Although the estimated causal effect size was minimal, it reflects lifelong polygenic architecture rather than acute clinical magnitude. In conclusion, our multi-omics approach unveils the shared genetic architecture of the sleep-epilepsy axis and highlights potential biomarkers for future functional investigation. Full article

Emerging tolerance of Schistosoma mansoni to praziquantel, the only drug available for schistosomiasis treatment, highlights the need for new therapeutic targets. Snake venoms contain pharmacologically active proteins and peptides that can decrease the viability of S. mansoni worms in vitro. Long non-coding RNAs (lncRNAs) play important roles in S. mansoni and are promising new therapeutic targets. However, new candidates still need to be identified, as only four S. mansoni lncRNAs have been functionally characterized to date. Therefore, we investigated lncRNA expression changes in S. mansoni following incubation with Bothrops venoms. Adult worms were incubated with eight venoms at a sublethal dose, and phenotypic parameters were evaluated. RNA-Seq was conducted on worms incubated with Bothrops jararacussu or Bothrops moojeni venoms, followed by Weighted Gene Co-expression Network Analysis for each sex. B. moojeni venom reduced all phenotypic measurements, while B. jararacussu reduced oviposition. Both venoms altered global gene expression, including lncRNAs. Females showed two lncRNA hub genes in two venom-associated co-expression modules, while males showed 61 lncRNA hub genes in nine venom-associated modules. RT-qPCR validated six out of seven selected hub lncRNAs in male worms. These results reveal the involvement of lncRNAs in S. mansoni gene expression modulation induced by Bothrops venoms and point to lncRNAs that should be prioritized in future functional studies, such as SmLINC121220-IBu, SmLINC152105-IBu and SmLNCA123831-IBu. Full article

Background: Triple-negative breast cancer (TNBC) remains a clinical challenge due to its aggressive nature and the frequent emergence of therapeutic resistance. While the role of protein-coding genes in DNA repair is well-documented, the regulatory contributions of the non-coding genome, specifically long intergenic non-coding RNAs (lincRNAs), remain largely undefined. Objectives: In this study, we characterize the biological significance of LincRNA-BC7, a novel transcript identified within the breast cancer field effect. Methods: Through a combined in silico and in vitro approach, we investigated the transcriptional dynamics of the LincRNA-BC7/miR-663a/BRCA1 axis in response to the PARP inhibitor, Olaparib. Results: Our results demonstrate that Olaparib induces selective cytotoxicity in BRCA1-deficient MDA-MB-231 cells while sparing non-cancerous HEK293 cells, a response accompanied by a significant downregulation of LincRNA-BC7 and a reciprocal upregulation of BRCA1. Bioinformatics analysis through BLASTN, miRBase, and KEGG revealed that LincRNA-BC7 contains highly complementary binding sites for miR-663a, suggesting it functions as a competing endogenous RNA (ceRNA) or “molecular sponge.” Conclusions: By sequestering miR-663a, LincRNA-BC7 appears to modulate the expression of critical signaling nodes within the PI3K-AKT and TP53 pathways, thereby influencing cellular sensitivity to DNA-damaging agents. These findings suggest that LincRNA-BC7 is a key determinant of the aggressive TNBC phenotype and the response to PARP inhibition. Our study establishes the LincRNA-BC7/miR-663a axis as a novel biomarker for precision risk stratification and a promising therapeutic target to enhance treatment outcomes in BRCA1-associated breast cancers. Full article

Background/Objectives: Acute myeloid leukemia (AML) comprises genetic subclasses with distinct gene expression profiles. While AML gene expression studies have mainly focused on protein-coding genes, our understanding of expression patterns of long intergenic noncoding RNAs (lincRNAs) remains incomplete. This is due to limited sample sizes, as well as incomplete annotation of lncRNAs with context-dependent expression. Methods: To address this gap, we developed the bioinformatic pipeline LIRA (long intergenic noncoding RNA annotator) to identify novel lincRNAs using stringent criteria, including spliced and intergenic transcripts, and algorithms to exclude coding potential. Results: By applying LIRA to RNA-sequencing data from 878 pediatric and adult AML cases and 20 healthy controls, we identified 1560 novel lincRNAs, expanding the GENCODE v38 lincRNA catalog by 27%. Integration of in-house-generated CAGE- and ChIP-sequencing data from KMT2A::MLLT3 samples revealed that 80% of the novel lincRNAs are 5′ capped, and at least 67% harbor activating epigenetic marks at their transcription start sites. Unsupervised analysis of the 1000 most variable known and newly identified lincRNAs uncovered subclass-specific expression patterns, mirroring those observed for protein-coding genes. Weighted Gene Co-expression Network Analysis identified 17 lincRNA expression modules associated with AML subclasses. Notably, expression of these modules decreased upon degradation of the leukemogenic onco-fusion proteins KMT2A::MLLT3 and PML::RARA, indicating that lincRNA expression is responsive to oncogenic signaling. Conclusions: This comprehensive analysis shows that lincRNAs exhibit similar subclass-specific expression patterns as protein-coding genes and establishes a valuable resource for future studies on genetically defined AML subclasses, with potential implications for biomarker discovery and therapeutic targeting. Full article

Histone lactylation acts as a master regulator in tumor development, but its role in a noncoding RNA (ncRNA) network remains unclear. This study aims to reveal the interaction between H3K18la and the lncRNA-miRNA-mRNA regulatory network in hepatocellular carcinoma (HCC). Transcriptome sequencing and ChIP sequencing were performed in HCC and adjacent normal tissues. Cut&Run and qPCR were used to validate the H3K18la enrichment on LINC02732 and CD44 promoter. Dual luciferase reporter assay, qPCR and Western blotting were used to verify the LINC02732-miR-1291-ASF1B axis. Co-Immunoprecipitation was performed to validate ASF1B recruiting p300. CCK8 and mouse subcutaneous tumor formation were performed to demonstrate this axis promoting HCC. H3K18la enrichment on LINC02732 promoter elevates its expression in both HCC samples and cell lines, therefore enhancing ASF1B expression via sponging miR-1291. Moreover, ASF1B, a histone chaperone, promotes H3K18la by recruiting lactyltransferase p300, forming an ASF1B-H3K18la positive feedback loop. The axis upregulates CD44 expression and promotes HCC in vitro and in vivo. These findings demonstrated the influence of H3K18la on the LINC02732-miR-1291-ASF1B axis and the novel role of ASF1B in histone lactylation by recruiting p300, which together promoted HCC proliferation. Full article

Gliomas represent the most prevalent type of brain tumor, with their most aggressive variant, glioblastoma multiforme, associated with high mortality rates. Due to their elevated molecular heterogeneity, accurate classification of gliomas has presented significant challenges. Therefore, considerable effort has been dedicated to identifying relevant biomarkers that improve early diagnosis and unveil new areas for treatment. Advances in high-throughput sequencing technology have enabled public resources such as The Cancer Genome Atlas (TCGA) to provide large-scale data from various cancers, allowing researchers to perform more comprehensive analysis of this disease. In this study, we introduce MOHVAE-B, a comprehensive framework designed for the integration of multi-omics data and biomarker discovery using data from TCGA. MOHVAE-B employs a supervised hierarchical variational autoencoder integrated with SHAP-based interpretability to effectively integrate high-dimensional multi-omics data and extract the most influential features driving the model’s predictions. Subsequently, Bayesian Networks (BNs) are constructed to model conditional dependencies between the selected features, providing insights into their possible relations. Applied to the TCGA glioma cohorts, MOHVAE-B achieved a near-perfect AUC of $0.9993$ and successfully identified high-impact features related to glioma classification. For glioblastoma multiforme, this included six novel candidates: LINC02172, NACA2, LINC01114, HNRNPA1P48, PPIAL4G, and LINC01558. For low-grade gliomas, the model highlighted AMER2 as a promising marker. Across both cohorts, PMP2 stood out as a particularly strong candidate for a potential role in glioma pathogenesis. The constructed BNs provided an additional layer of validation, reinforcing NACA2 as a candidate of interest in glioma biology. Full article

Background: Meningiomas exhibit considerable biological heterogeneity that is not fully captured by histopathological grading. Tissue-based molecular markers may provide complementary insight into tumor biology within routine diagnostic settings. Methods: Formalin-fixed paraffin-embedded tissue samples from 65 intracranial meningiomas and 13 non-neoplastic controls were analyzed. Aquaporin-4 (AQP4) expression was assessed using immunohistochemistry, while miR-216a, miR-320a, and LINC00461 levels were quantified by means of RT-qPCR. Expression patterns were compared across groups and evaluated in relation to histological grade. Results: AQP4 expression was significantly reduced in meningiomas compared with controls and showed a further decrease in higher-grade tumors. Although expression of miR-216a and miR-320a was also lower in tumor samples, these differences did not reach statistical significance. Correlation analysis revealed modest but significant associations between AQP4 and miR-216a, as well as between miR-216a and miR-320a. Individual markers demonstrated limited discriminatory performance; however, combined expression patterns suggested underlying molecular variability across tumor grades. Conclusions: Our findings indicate that AQP4 downregulation represents a consistent feature in meningiomas, while associated microRNA alterations may reflect coordinated but context-dependent expression patterns. Although these markers are not sufficient as standalone diagnostic tools, their combined tissue-level assessment may provide complementary information on tumor heterogeneity. These findings should be interpreted as exploratory and highlight the need for further validation in larger and mechanistic studies. Full article

Long non-coding RNAs (lncRNAs) have emerged as important regulators of developmental processes. Recent studies have established roles for lncRNAs in human and murine erythroid regulation, yet additional regulators remain to be discovered. To identify lncRNA candidates involved in human erythroid regulation, we established a pooled genome-editing screen strategy using human embryonic stem cells (hESCs). Long Intergenic Non-Protein Coding RNA 1089 (LINC01089) was selected for functional investigation. We found that reduced LINC01089 expression impaired erythroid differentiation. Transcriptomic profiling revealed consistent downregulation of genes related to hemoglobin assembly, heme biosynthesis, and membrane maturation, suggesting that LINC01089 supports coordinated erythroid transcriptional programs. In particular, progressive reduction of HBB expression emerged as a key transcriptional anchor. Enrichment analyses of upregulated genes identified recurrent focal adhesion signatures, suggesting a potential link between LINC01089 and focal adhesion kinase (FAK)-related signaling. Given prior evidence linking LINC01089 to FAK phosphorylation, we performed a pilot FAK-inhibition experiment, producing a partial shift toward wild-type HBB expression and supporting FAK/phosphorylated FAK (pFAK) signaling as a potential contributing axis in the impaired transcriptional programs. Together, our findings identify LINC01089 as a novel lncRNA linked to coordinated heme–globin transcriptional programs in human erythroid differentiation, with possible involvement of the FAK/pFAK axis. Full article

Introduction: Soft tissue sarcomas (STS) exhibit profound molecular heterogeneity. While recurrent gene fusions hold significant diagnostic and therapeutic value—guiding treatment selection and identifying novel molecular targets—our understanding of their broader clinical implications remains limited. Materials and Methods: We performed next-generation sequencing (NGS; FusionPlex Sarcoma v2, Archer™) and bioinformatic analysis (STAR v.2.7, Arriba) on formalin-fixed paraffin-embedded (FFPE) core needle biopsy specimens. The cohort consisted of patients enrolled in a phase II clinical trial (NCT03651375) who received preoperative chemoradiotherapy according to the UNRESARC protocol. Results: The analysed cohort comprised nine adult patients (median age 66 years; range 44–73) diagnosed with undifferentiated pleomorphic sarcoma (UPS; n = 3), malignant peripheral nerve sheath tumour (MPNST; n = 3), myxofibrosarcoma (MFS; n = 2), and leiomyosarcoma (LMS; n = 1), predominantly high-grade (G3; 5/9) and extremity-localised (6/9). Gene fusions were detected in one-third of patients (3/9), exclusively in G3 tumours. Specifically, we identified an SGSH-PRKCA fusion in MFS (thigh), a LINC01133-OGA fusion in MPNST (thorax), and a concurrent JAZF1-MYH7B (chr7:27995037 intronic-chr20:33563203 exon/splice-site, out-of-frame but preserving myosin domains) with a PRKCA-associated intergenic rearrangement (chr1, retaining C1/kinase domains) in UPS (upper back). Notably, the SGSH-PRKCA and JAZF1-MYH7B pairs have not been previously described in the literature for these STS subtypes. Fusion-positive (F1) cases showed stable radiological disease (RECIST 1.1 SD) and EORTC C/D pathological responses with 5–20% residual viable tumour, whereas fusion-negative (F0) cases showed a wider range of radiological and pathological outcomes, including partial response, progression, and stable disease. Conclusions: Our analysis suggests that broad genomic profiling may provide complementary molecular information in diagnostically challenging cases managed at specialised sarcoma centres, particularly when morphology and immunohistochemistry are insufficient. In the present series, however, the detected rearrangements did not alter systemic treatment, and the data do not support claims of prognostic, predictive, or therapeutic actionability. Full article

Ankylosing spondylitis (AS) is a chronic immune-mediated inflammatory disease affecting the axial skeleton, characterized by progressive structural damage and functional impairment. Although biologic therapies targeting tumor necrosis factor and interleukin-17 have improved clinical outcomes, a substantial proportion of patients fail to achieve sustained disease control. Emerging evidence suggests that metabolic alterations may contribute to AS pathogenesis; however, systematic characterization of metabolism-related biomarkers and their regulatory networks remains limited, and the interplay between metabolic dysfunction and immune dysregulation in AS is poorly understood. Two whole-blood GEO datasets (GSE25101, GSE73754; n = 104) were integrated as the primary analytical cohort. A third dataset (GSE11886, n = 18; monocyte-derived macrophages) was included for exploratory cross-tissue analysis. Differential expression analysis identified 847 DEGs, which were refined to 16 metabolism-related genes through weighted gene co-expression network analysis (WGCNA) and GeneCards database filtering. Eleven machine learning algorithms with 5-fold cross-validation were applied to construct diagnostic models and identify hub genes. Validation analyses included immune cell infiltration estimation using CIBERSORT, metabolic pathway activity assessment via ssGSEA, single-cell transcriptomics from GSE268839, functional enrichment through GSEA/GSVA, and chromosomal localization analysis. A competing endogenous RNA (ceRNA) regulatory network was constructed to map post-transcriptional regulation. Natural compounds from 66 AS-treating traditional Chinese medicines were screened against hub genes using deep learning-based binding prediction. Multiple machine learning algorithms achieved comparable cross-validated performance (CV AUC range 0.741–0.836; top five models: 0.805–0.836) using the six hub genes (MFN2, SLC27A3, RHOB, SMG7, AKR1B1, LCOR) identified through SHAP-based feature importance analysis of the PLS model. Leave-one-dataset-out validation between the two whole-blood cohorts showed that all algorithms exceeded an AUC of 0.77 in Round 1 (validate: GSE73754, n = 72; best AUC 0.861), while Round 2 (validate: GSE25101, n = 32) yielded more modest performance (best AUC, 0.715) reflecting the smaller validation sample. Exploratory application to GSE11886 (macrophage-derived samples) showed near-chance performance, consistent with the tissue-source discrepancy. AS patients exhibited significant downregulation of oxidative phosphorylation, TCA cycle, and glycolysis pathways (p < 0.01), accompanied by elevated glutathione metabolism (p < 0.001). Immune cell deconvolution revealed reduced CD8+ T cell proportions correlating with MFN2 downregulation, and increased neutrophil frequencies correlating with SLC27A3 upregulation. Exploratory single-cell analysis indicated that RHOB expression was relatively enriched in border-associated macrophages and fibroblasts, while AKR1B1 was more prominently expressed in vascular endothelial cells and plasmacytoid dendritic cells. The ceRNA network identified 21 miRNAs and 65 lncRNAs forming 86 regulatory interactions, with four key regulatory axes (SATB1-AS1/miR-539-5p/LCOR, FAM95B1/miR-223-3p/RHOB, LINC01106/miR-106a-5p/MFN2, AATBC/miR-185-5p/SMG7) predicted to regulate hub gene expression. Compound screening identified betaine, pyruvic acid, citric acid, etc., as top-ranking candidates, with MFN2 showing the highest binding capacity among hub genes. This study provides an integrative framework linking metabolic reprogramming with immune dysfunction in AS. The six-gene diagnostic signature showed preliminary discriminatory ability in the available datasets, while the ceRNA regulatory network and natural compound screening results prioritize candidate regulatory pathways and compounds for future validation. These findings advance our understanding of AS pathogenesis and may guide future biomarker development and targeted intervention strategies. Full article

Tongue squamous cell carcinoma (TSCC) is clinically heterogeneous, and patients with a similar TNM stage can experience markedly different outcomes. We systematically reviewed omics-driven studies to identify prognostic TSCC biomarkers. Although fundamentally prognostic, we discussed their theoretical translational relevance regarding future clinical decisions—such as treatment stratification or surveillance intensity—while strictly framing them as preliminary, hypothesis-generating targets. PubMed, Scopus, Web of Science, and Cochrane were searched for original human studies published between 2014 and 2024 using high-throughput genomic or transcriptomic profiling. Study selection followed referred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), data were extracted with a structured workbook, and risk of bias was assessed using QUIPS and PROBAST, with reporting completeness appraised using REMARK. Seventeen studies were included, identifying 85 distinct biomarkers. Across biomarkers supported by multivariable overall survival analyses, higher-risk associations were reported for NELL2, PDE4D, CTTN, HBEGF, and CA9, whereas lower-risk associations were reported for AC139530.1, LINC01711, CCDC96, CYP2J2, and SPAG16. Recurrent biological themes included IL-17 signaling, ECM-receptor interaction, and focal adhesion. CA9 was the only biomarker reported in more than one included study, supporting its prioritization for validation. Although the evidence remains heterogeneous and largely hypothesis-generating, these markers may support the future validation of response-oriented therapeutic stratification in TSCC. Full article

Life evolved under a persistent 1 g field that is continuous, ubiquitous, and directionally structured. Here, we synthesize evidence across evolutionary biology, mechanobiology, and genome architecture to propose gravity as a mechanical boundary condition that helped canalize the emergence of complex multicellularity. Order-of-magnitude considerations indicate that gravity-derived hydrostatic loads can fall within force/pressure regimes relevant to nuclear and chromatin mechanosensitivity when transmitted through adhesion–cytoskeleton–LINC–lamina coupling. Comparative genomic and imaging frameworks suggest that complex animals increasingly rely on volumetric genome organization (packing domains and higher-order 3D architectures) that supports durable transcriptional memory and stable differentiated cell identities. Integrating these concepts with altered-gravity experiments, we argue that microgravity and hypergravity perturb chromatin topology and region-level transcription in rapid, largely reversible patterns consistent with a mechanically defined 1 g reference state. We advance a boundary-condition thesis: gravity is not a sole driver but a stable reference that likely contributed to the evolvability and long-term robustness of mechanogenomic architectures required for high-dimensional differentiation and tissue homeostasis. Full article

A distinct form of chronic kidney disease of unknown etiology (CKDu) has emerged in tropical regions of Sri Lanka, predominantly affecting individuals aged 30–60 years in the North Central Province. Unlike conventional chronic kidney disease (CKD), CKDu occurs independently of diabetes or hypertension and is characterized by tubulointerstitial damage, including tubular atrophy, interstitial inflammation, and fibrosis. Epidemiological studies showed familial clustering, suggesting an underlying genetic predisposition. This study aimed to identify genetic variants associated with CKDu in Sri Lankan populations using whole-exome sequencing (WES). Eighty-six individuals (47 CKDu patients and 39 controls) were recruited from endemic and non-endemic regions. Physiological, biochemical, and geographic parameters were recorded. DNA extracted from blood was subjected to WES to identify variants associated with CKDu. Results: A total of 171 unique variants across 121 genes were identified. Among the most prevalent genes were ATXN3, LFNG, PNLDC1, LINC02456, and HLA-DRB1. In the case–control comparison, only LFNG showed statistically significant enrichment in affected individuals, whereas signals in ATXN3, PNLDC1, and LINC02456 were not statistically significant, but have an association with renal dysfunction, and thus are included as hypothesis-generating variant observations. HLA-DRB1 variants showed trends toward a protective haplotype. LFNG showed the greatest prevalence in affected individuals (71.7%), followed by PNLDC1 (63%), ATXN3 (56%), FIP1L1 (41%), and HLA-DRB1 (32%). Conclusion: Findings suggest genetic variants in combination with environmental factors may contribute to CKDu susceptibility in the Sri Lankan population. We underscore the multi-factorial nature of CKDu and highlight the need for integrative genomic and environmental research to elucidate disease mechanisms and inform targeted prevention strategies. Full article

Microglia, the resident macrophages of the central nervous system (CNS), serve as the primary reservoir of HIV-1 in the brain and play a crucial role in the development of HIV-1-associated neurocognitive disorders (HAND). While long non-coding RNAs (lncRNAs) have emerged as essential regulators of HIV-1 replication in T cells and macrophages, their role in microglia remains poorly understood. Here, we performed RNA sequencing of polyadenylated transcripts from a human microglial cell line exposed to HIV-1 infection or TNF-α stimulation to investigate transcriptional responses and identify lncRNAs with potential regulatory functions. Gene set enrichment analysis revealed broad overlap between viral and inflammatory responses, reflecting convergence on common molecular pathways. Among differentially expressed lncRNAs, we focused on TALAM1, which was specifically induced by HIV-1, and LINC00702, which responded to both HIV-1 and TNF-α. Validation by RT-qPCR confirmed the upregulation of TALAM1 and LINC00702 at 24 h post-infection. Furthermore, knockdown of either lncRNA affected viral genomic RNA levels, while only LINC00702 knockdown affected p55 production. Given that subcellular localization informs lncRNA function, we assessed the distribution of TALAM1 and LINC00702. TALAM1 was predominantly cytoplasmic under basal conditions but shifted toward nuclear enrichment upon HIV-1 infection, whereas LINC00702 remained primarily nuclear regardless of infection status. Consistent with their genomic context, protein interaction predictions, and pathway enrichment analyses suggested that TALAM1 may influence RNA processing and splicing, whereas LINC00702 may contribute to translational regulation and is associated with proteins involved in immune responses. Together, these findings provide an initial characterization of lncRNA responses to HIV-1 infection in a human microglial cell line and identify TALAM1 and LINC00702 as candidates for future functional studies in the context of viral infection and neuroinflammation. Full article

Nuclear lamins are the core molecular bridge linking the extracellular mechanical microenvironment to intranuclear gene regulation, and play a central regulatory role in cellular mechanosensation and mechanotransduction. Here, we systematically integrate the latest global research progress on nuclear lamins, delineating the cascade regulatory mechanism by which lamins mediate the transmission of mechanical signals across the nuclear envelope and the subsequent regulation of chromatin remodeling and epigenetic modification, with a focus on the molecular characteristics and functional specificity of distinct nuclear lamin subtypes and their interaction modes with the Linker of Nucleoskeleton and Cytoskeleton complex (LINC complex) and chromatin. Existing studies have established that nuclear lamins are mainly divided into three categories: A-type lamins (Lamin A/C), B-type lamins (Lamin B1, B2), and germ cell-specific subtypes. Among these, A-type lamins directly determine the mechanical stiffness of the nucleus and serve as the core mediators of intranuclear mechanical signal transduction. Each subtype of B-type nuclear lamins has a well-defined, non-redundant functional division: Lamin B1 and Lamin B2 indirectly maintain nuclear structural stability and regulate epigenetic status by anchoring facultative heterochromatin and constitutive heterochromatin, respectively. Notably, Lamin A/C distributed in the nucleoplasm also bears significant mechanical tension, which challenges the long-standing view that the mechanical functions of nuclear lamins are restricted to the nuclear envelope region. After mechanical force is transmitted across the nuclear envelope to nuclear lamins via the LINC complex, it can regulate the spatial conformation of chromatin and epigenetic modifications, thereby determining core cellular life activities including proliferation, differentiation, and migration. Dysregulation of this pathway is closely associated with a wide spectrum of human diseases, including cardiovascular diseases, progeria, muscular dystrophy, and neurodevelopmental disorders. Taken together, this review systematically delineates the hierarchical regulatory network of the “LINC complex–nuclear lamina–chromatin” axis, advances our understanding of the fundamental principles of cellular mechanobiology, and provides a theoretical framework for deciphering the pathological mechanisms and developing targeted therapeutic drugs for related diseases. Full article