Search Results (1,889)

Background: Topical minoxidil remains the only FDA-approved treatment for hair loss, yet its clinical efficacy is compromised by organic-solvent-induced scalp irritation and poor patient adherence. This study aimed to evaluate natural illite as a carrier for minoxidil and to explore its potential hair-growth-promoting mechanisms. Methods: Thermal–acid-modified illite was engineered as a spray-dried, hydroalcohol-free minoxidil carrier for topical application. Hair regrowth efficacy was assessed in C57BL/6 mice via a 14-day depilation model. Mechanisms were elucidated via RNA-seq, Ki67/TUNEL immunofluorescence, and p-STAT3 immunohistochemistry. Results: Modified illite resulted in a 4.2-fold surface area increase and successful minoxidil loading. The minoxidil/illite formulation demonstrated efficacy equivalent to that of free minoxidil while also eliminating solvent toxicity. Mechanistic analysis revealed that illite functions as an active carrier: both the illite-alone and minoxidil/illite-treated groups exhibited increased Ki67⁺ proliferation and reduced TUNEL⁺ apoptosis. Transcriptomic profiling demonstrated dual mechanisms—enrichment of Myc proliferation pathways and suppression of IL-6 inflammatory signaling (p < 0.001)—with reduced p-STAT3 expression confirmed by immunohistochemistry. Conclusions: These findings suggest that an illite-based carrier can enable topical delivery of minoxidil with preserved efficacy and that illite itself exhibits intrinsic hair-growth-promoting activity via anti-inflammatory and pro-proliferative mechanisms, which may help alleviate adherence barriers associated with conventional topical alopecia therapy. Full article

DNA nanoparticles have emerged as potent platforms for wearable and implantable biosensors owing to their molecular programmability, biocompatibility, and structural precision. This study delineates two principal categories of DNA-based sensing materials, DNA hydrogels and DNA origami, and encapsulates their fabrication methodologies, sensing mechanisms, and applications at the device level. DNA hydrogels serve as pliable, aqueous signal transduction mediums exhibiting stimulus-responsive characteristics, facilitating applications such as sweat-based cytokine detection with limits of detection as low as pg·mL⁻¹ and microneedle-integrated hydrogels for femtomolar miRNA sensing. DNA origami offers nanometer-scale spatial precision that improves electrochemical, optical, and plasmonic biosensing, as shown by origami-facilitated luminous nucleic acid detection and ultrasensitive circulating tumor DNA assays with fM-level sensitivity. Emerging integration technologies, such as flexible electronics, microfluidics, and wireless readout, are examined, alongside prospective developments in AI-assisted DNA design and materials produced from synthetic biology. This study offers a thorough and practical viewpoint on the progression of DNA nanotechnology for next-generation wearable and implantable biosensing devices. Full article

Sweet orange (Citrus sinensis) is recognized as one of the most significant citrus fruits globally. The sugar content of fruits is the most critical internal quality associated with taste in sweet oranges, serving as a vital determinant of fruit quality and commercial value. Therefore, a comprehensive exploration of the regulatory mechanisms governing sugar accumulation during fruit ripening holds substantial value for high-quality fruit breeding. In this study, we investigated citrus sugar accumulation using the flesh of the Newhall navel orange and its high-sugar-content mutant cultivar, Ganmi, as experimental materials. RNA sequencing of the flesh from both Ganmi and Newhall oranges at 180 and 200 days after flowering identified 642 and 493 differentially expressed genes (DEGs), respectively. Functional enrichment analysis indicated that DEGs were mainly enriched in the sugar metabolism pathways, sugar transporters, and plant hormone signal transduction. Important DEGs associated with fruit sugar accumulation in Ganmi included Cs_ont_2g004470 (CsNAC73) and Cs_ont_9g005250 (CsSTP13) involved in sugar accumulation. Weighted gene co-expression network analysis showed that 20 co-expression modules were obtained, and the brown1 module had the strongest correlations with sugar content. Based on gene functionality and gene expression analyses of 1189 genes in this module, three genes (Cs_ont_2g004470 (CsNAC73), Cs_ont_5g050360 (CsMYC2) and Cs_ont_3g002820 (CsBBX21)) were identified as key genes potentially related to sugar accumulation during the ripening. These findings may contribute to elucidating the mechanisms underlying sugar accumulation during ripening and provide insights for the molecular breeding of citrus varieties. Full article

In animals and humans, nutrients influence signaling cascades, transcriptional programs, chromatin dynamics, and mitochondrial function, collectively shaping traits related to growth, immunity, reproduction, and stress resilience. This review synthesizes evidence supporting nutrient-mediated regulation of DNA methylation, histone modifications, non-coding RNAs, and mitochondrial biogenesis, and emphasizes their integration within metabolic and developmental pathways. Recent advances in epigenome-wide association studies (EWAS), single-cell multi-omics, and systems biology approaches have revealed how diet composition and timing can reprogram gene networks, sometimes across generations. Particular attention is given to central metabolic regulators (e.g., PPARs, mTOR) and to interactions among methyl donors, fatty acids, vitamins, and trace elements that maintain genomic stability and metabolic homeostasis. Nutrigenetic evidence further shows how genetic polymorphisms (SNPs) in loci such as IGF-1, MSTN, PPARs, and FASN alter nutrient responsiveness and influence traits like feed efficiency, body composition, and egg quality, information that can be exploited via marker-assisted or genomic selection. Mitochondrial DNA integrity and oxidative capacity are key determinants of feed conversion and energy efficiency, while dietary antioxidants and mitochondria-targeted nutrients help preserve bioenergetic function. The gut microbiome acts as a co-regulator of host gene expression through metabolite-mediated epigenetic effects, linking diet, microbial metabolites (e.g., SCFAs), and host genomic responses via the gut–liver axis. Emerging tools such as whole-genome and transcriptome sequencing, EWAS, integrated multi-omics, and CRISPR-based functional studies are transforming the field and enabling DNA-informed precision nutrition. Integrating genetic, epigenetic, and molecular data will enable genotype-specific feeding strategies, maternal and early-life programming, and predictive models that enhance productivity, health, and sustainability in poultry production. Translating these molecular insights into practice offers pathways to enhance animal welfare, reduce environmental impact, and shift nutrition from empirical feeding toward mechanistically informed precision approaches. Full article

Physical exercise is a potent non-pharmacological strategy for the prevention and management of chronic non-communicable diseases (NCDs), including type 2 diabetes, cardiovascular diseases, obesity, and certain cancers. Growing evidence demonstrates that the benefits of exercise extend beyond its physiological effects and are largely mediated by coordinated molecular and cellular adaptations. This review synthesizes current knowledge on the key mechanisms through which exercise modulates metabolic health, emphasizing intracellular signaling pathways, epigenetic regulation, and myokine-driven inter-organ communication. Exercise induces acute and chronic activation of pathways such as AMPK, PGC-1α, mTOR, MAPKs, and NF-κB, leading to enhanced mitochondrial biogenesis, improved oxidative capacity, refined energy sensing, and reduced inflammation. Additionally, repeated muscle contraction stimulates the release of myokines—including IL-6, irisin, BDNF, FGF21, apelin, and others—that act through endocrine and paracrine routes to regulate glucose and lipid metabolism, insulin secretion, adipose tissue remodeling, neuroplasticity, and systemic inflammatory tone. Epigenetic modifications and exercise-responsive microRNAs further contribute to long-term metabolic reprogramming. Collectively, these molecular adaptations establish exercise as a systemic biological stimulus capable of restoring metabolic homeostasis and counteracting the pathophysiological processes underlying NCDs. Understanding these mechanisms provides a foundation for developing targeted, personalized exercise-based interventions in preventive and therapeutic medicine. Full article

Background/Objectives: Endocrine autoimmune diseases, including autoimmune thyroid, pituitary, parathyroid, adrenal, and gonadal diseases, result from complex interactions between genetic susceptibility and environmental triggers. Advances in genomics and epigenomics have provided novel insights into the molecular pathways leading to immune dysregulation and endocrine tissue destruction. This review summarizes recent progress in understanding the genetic and epigenetic bases, emphasizing shared and disease-specific mechanisms that contribute to autoimmunity and endocrine dysfunction. Methods: A comprehensive literature search was performed in PubMed, Scopus, and Web of Science up to August 2025, focusing on genome-wide association studies (GWAS), next-generation sequencing, and epigenetic profiling (DNA methylation, histone modification, and non-coding RNA regulation). Results: More than 60 susceptibility loci have been identified across endocrine autoimmune diseases (EADs), including key genes in immune tolerance (HLA, CTLA4, PTPN22) and endocrine-specific pathways. Epigenetic studies reveal that altered DNA methylation and histone acetylation patterns in immune and endocrine cells modulate gene expression without changing the DNA sequence, linking environmental exposures to disease onset. Dysregulated microRNAs further influence immune signaling and cytokine networks. Conclusions: Genetic and epigenetic discoveries highlight the multifactorial nature of EADs and reveal potential biomarkers for early detection and targets for precision immunotherapy. Future research integrating multi-omics and longitudinal analyses will be crucial to unravel causal mechanisms and develop personalized preventive strategies. Full article

With the improvement of living standards, people’s awareness of health care is becoming stronger and stronger. Rabbit meat is a very high-quality and healthy meat, but its consumption is low due to its poor flavor. To explore the regulatory mechanism of nutrition on the meat quality of rabbits, twenty-four rabbits were fed a control diet or a high-fat (5 percent lard) diet over 15 days. The contents and tissues of the jejunum were subjected to 16S sequencing and mRNA transcriptome sequencing, respectively. The results indicated that there were significant differences in species diversity through beta diversity analysis (p < 0.05). The diversity of alpha in the experimental group was also significantly reduced (p < 0.05). Based on gene function annotation, 8 bacteria at the phylum level and 11 bacteria at the genus level that are related to the metabolism of adipose tissue showed significant differences between the two groups (p < 0.05). The transcriptome results of the jejunum showed significant differences in 135 genes between the experimental group and control group (p < 0.05). Gene annotation revealed 10 differentially expressed genes related to fat metabolism, which regulate 36 signaling pathways. We speculated that Alloprevotella may influence drip loss and cooked meat rate by changing the expression of PHGDH through correlation analysis. In addition, Coprococcus may influence IMF by changing the expression of NEDD4, ANGPTL3, and CYP8B1. These results indicated that a high-fat diet changed the species and composition of bacteria in the rabbit jejunum. Alloprevotella and Coprococcus may influence rabbit meat quality and flavor by changing PHGDH, NEDD4, ANGPTL3, and CYP8B1 gene expression in the host. This study laid a molecular foundation for the improvement of rabbit meat quality through nutritional diets. Full article

Temperature offers a simple yet powerful signal to program cellular behavior. Here, we engineered and characterized a set of temperature-dependent genetic circuits that integrate RNA thermometers with site-specific DNA recombinases to achieve precise, irreversible control of gene expression. Using the serine recombinase Bxb1 placed under the control of the Salmonella FourU RNA thermometer, we demonstrate how promoter strength critically defines thermal sensitivity: weak promoters’ activity clears ON/OFF transitions, while strong promoters lead to continuous, quasi-temperature-independent recombination. Furthermore, temperature pulse duration and growth phase of cell culture were found to modulate recombination efficiency, providing additional layers of control. We illustrate the potential of this framework through proof-of-concept applications, including (i) the generation of spatial expression patterns on 2D surfaces via localized heating, (ii) a paper-based device capable of recording temperature gradients as stable genetic outputs, and (iii) a temperature-triggered lysis system for controlled cellular release. Together, these results establish temperature-regulated recombinase circuits as versatile and robust tools for programmable, spatially resolved, and irreversible control of gene expression, paving the way for new applications in synthetic biology, biosensing, and bioproduction. Full article

Background: miRNA is linked to a variety of human diseases, including cancer. The expression levels and profiles can be related to disease prevention and the promotion of good health. Understanding the beneficial changes in miRNA expression mediated by micro- and macronutrients is vital for maintaining optimal health. However, it remains unknown which phytochemicals affect miRNA expression, thereby hindering the identification of novel dietary functions. Methods: We searched for and investigated novel phytochemicals that would regulate miRNAs in colon cancer using artificial intelligence. We comprehensively analyzed miRNA expression in colon cancer cell lines treated with new phytochemical candidates using next-generation sequencing. Results: We identified three phytochemicals (fisetin, glabridin, and silibinin) that suppressed cell proliferation and were associated with changes in cancer-related miRNA expression in colon cancer cells. The miRNA expression profiles observed in response to each phytochemical shared some common features while also displaying compound-specific miRNA signatures. Exploratory pathway analyses of fisetin, glabridin, or silibinin have shown that each affects pathways involved in tumor development, including the p53 signaling pathway, apoptosis, cellular senescence, and colorectal cancer. Conclusions: The use of artificial intelligence to explore candidate compounds is beneficial, leading to the discovery of new phytochemicals modulating tumor-related miRNAs. Investigating the mechanisms of action of miRNAs will be essential for understanding new functions of dietary nutrients, thereby providing further insights into the development of diet-based health promotion and disease prevention strategies. Full article

Peptidoglycan recognition proteins (PGRPs) are conserved pattern recognition receptors (PRRs) that play key roles in insect innate immunity by binding bacterial peptidoglycan (PGN) and activating downstream signaling pathways. The Dendrolimus kikuchii, a major defoliator of coniferous forests in southern China, has incompletely characterized immune defenses. This study systematically identified the PGRP gene family in D. kikuchii based on genome-wide data, identifying 10 PGRP genes with typical PGRP/Amidase_2 conserved domains, including 6 PGRP-S proteins and 4 PGRP-L proteins. Additionally, to further investigate the evolutionary relationships of these PGRP genes, a maximum likelihood (ML) phylogenetic tree was constructed using PGRP amino acid sequences from 6 different insect species, along with the 10 PGRP amino acid sequences from D. kikuchii. Phylogenetic analysis revealed that the DkikPGRP genes of D. kikuchii are distributed across distinct evolutionary branches and share high homology with PGRP genes from other insects, suggesting a close evolutionary relationship between the PGRP genes of D. kikuchii and those of other insect species. Transcriptome profiling revealed that DkikPGRP-S1, -S2, -S3, -S4, and -S5 were upregulated in the midgut, fat body, and hemolymph after Bt infection, showing tissue- and time-specific immune responses. Functional assays using siRNA knockdown demonstrated distinct roles of DkikPGRP-S4 and DkikPGRP-S5: DkikPGRP-S5 mainly promoted antimicrobial peptide (AMP) expression, including attacin, lebocin, lysozyme, and cecropin, whereas DkikPGRP-S4 showed a complex regulatory pattern, enhancing lebocin and lysozyme but suppressing attacin without affecting gloverin or cecropin. Silencing either gene significantly increased larval mortality upon Bt challenge. These results highlight the specialized immune regulatory functions of PGRPs in D. kikuchii, provide new insights into host–pathogen interactions, and suggest potential molecular targets for sustainable pest management strategies. Full article

Personalizing therapy using medical marijuana (MM) is based on understanding the pharmacogenomics (PGx) and drug–drug interactions (DDIs) involved, as well as identifying potential epigenetic risk markers. In this work, the evidence regarding the role of variants in phase I (CYP2C9, CYP2C19, CYP3A4/5) and II (UGT1A9/UGT2B7) genes, transporters (ABCB1), and selected neurobiological factors (AKT1/COMT) in differentiating responses to Δ⁹-tetrahydrocannabinol (THC) and cannabidiol (CBD) has been reviewed. Data indicating enzyme inhibition by CBD and the possibility of phenoconversion were also considered, which highlights the importance of a dynamic interpretation of PGx in the context of current pharmacotherapy. Simultaneously, the results of epigenetic studies (DNA methylation, histone modifications, and ncRNA) in various tissues and developmental windows were summarized, including the reversibility of some signatures in sperm after a period of abstinence and the persistence of imprints in blood. Based on this, practical frameworks for personalization are proposed: the integration of PGx testing, DDI monitoring, and phenotype correction into clinical decision support systems (CDS), supplemented by cautious dose titration and safety monitoring. The culmination is a proposal of tables and diagrams that organize the most important PGx–DDI–epigenetics relationships and facilitate the elimination of content repetition in the text. The paper identifies areas of implementation maturity (e.g., CYP2C9/THC, CBD-CYP2C19/clobazam, AKT1, and acute psychotomimetic effects) and those requiring replication (e.g., multigenic analgesic signals), indicating directions for future research. Full article

Background: Long pulse width stimulation (LPWS; 120–150 ms) has the potential to stimulate denervated muscles in persons with spinal cord injury (SCI). We examined whether testosterone treatment (TT) + LPWS would increase skeletal muscle size, leg lean mass and improve overall metabolic health in SCI persons with denervation. We hypothesized that one year of combined TT + LPWS would downregulate gene expression of muscle atrophy and upregulate gene expression of muscle hypertrophy and increase mitochondrial health in SCI persons with lower motor neuron (LMN) injury. Methods: Ten SCI participants with chronic LMN injury were randomized into either 12 months, twice weekly, of TT + LPWS (n = 5) or a TT+ standard neuromuscular electrical stimulation (NMES; n = 5). Measurements were conducted at baseline (week 0), 6 months following training (post-intervention 1), and one week following 12 months of training (post-intervention 2). Measurements included body composition assessment using magnetic resonance imaging (MRI) and dual x-ray absorptiometry (DXA). Metabolic profile assessment encompassed measurements of resting metabolic rate, carbohydrate and lipid profiles. Finally, muscle biopsy was captured to measure RNA signaling pathways and mitochondrial oxidative phosphorylation. Results: Compliance and adherence were greater in the TT + NMES compared to the TT + LPWS group. There was a 25% increase in the RF muscle CSA following P1 measurement in the TT + LPWS group. There was a recognizable non-significant decrease in intramuscular fat in both groups. There was a trend (p = 0.07) of decrease in trunk fat mass following TT + LPWS, with an interaction (p = 0.037) in android lean mass between groups. There was a trend (p = 0.08) in mean differences in DXA-visceral adipose tissue (VAT) between groups at P1 measurements. For genes targeting muscle atrophy, TT + LPWS showed a trending decline in MURF1 and FOXO3 genes returning to similar levels as TT + NMES before 12 months. Conclusions: These pilot data demonstrated the safety of applying LPWS in persons with SCI. Six months of TT + LPWS demonstrated increases in rectus femoris muscle CSA. The effects on muscle size were modest between groups. Signaling pathway analysis suggested downregulation of genes involved in muscle atrophy pathways. Future clinical trials may consider a home-based approach with more frequent applications of LPWS. Full article

Obesity is characterized by a chronic inflammation driven primarily by sustained activation of the canonical NF-κB signaling pathway. This persistent inflammatory state originates in hypertrophic adipose tissue and progressively affects multiple organ systems, contributing to systemic metabolic dysfunction. This review explores the molecular architecture and regulatory components of the canonical NF-κB pathway and outline how metabolic stressors, cytokines, chemokines, adhesion molecules, and dysregulated microRNAs influence its activity in obesity. Clinically relevant NF-κB linked biomarkers are characterized, those that reflect the degree of inflammation and may support risk stratification in metabolic disease. Finally, we discuss emerging therapeutic strategies, including small-molecule inhibitors, monoclonal antibodies, and miRNA-based approaches designed to modulate NF-κB activity while preserving its essential physiological roles. Together, these insights emphasize the central involvement of NF-κB in obesity-associated inflammation and highlight potential targets for selective intervention. Full article

Antibody-based therapeutics targeting tumor surface markers have transformed cancer treatment; however, their efficacy is frequently limited by tumor escape mechanisms such as antigen loss, phenotypic switching, and heterogeneous target expression. Beyond genetic or transcriptional changes, RNA alternative splicing (AS) has emerged as a central post-transcriptional mechanism driving antigenic diversity and immune escape. This review outlines how AS-generated isoforms remodel surface antigen structure and function across key therapeutic targets—including CD/19/CD20/CD22, EGFR/HER2, VEGF, and PD-1/PD-L1—thereby promoting resistance to monoclonal antibodies, antibody–drug conjugates, and immune checkpoint inhibitors. The aberrant activity of splicing regulators disrupts canonical exon selection, leading to altered receptor signaling or the secretion of soluble decoy isoforms that evade immune recognition. Emerging therapeutic strategies aim to counteract these processes through antisense oligonucleotide-mediated splicing correction, pharmacologic modulation of splicing regulators, and isoform-selective antibody or CAR-T designs. Collectively, understanding splicing-driven antigenic plasticity reveals an additional, dynamic layer of resistance regulation and provides a framework for developing RNA-informed precision antibody therapies designed to restore antigen expression, overcome immune escape, and enhance durable clinical responses. Full article

Background: Cancer-associated fibroblasts (CAFs) are key components of the glioblastoma (GBM) microenvironment and contribute to tumor progression, immune evasion, and therapy resistance. However, their heterogeneity and clinical impact in GBM remain poorly defined. Methods: We performed an integrative transcriptomic analysis combining bulk and single-cell RNA sequencing (scRNA-seq) datasets to characterize CAF subtypes in GBM. Four CAF-associated transcriptional programs were defined based on canonical gene signatures: immune CAFs, myofibroblastic CAFs (myoCAFs), inflammatory CAFs (iCAFs), and antigen-presenting CAFs (apCAFs). Prognostic relevance was assessed using survival analyses, and hub genes were identified through network analysis. Results: CAF subtype-specific gene signatures were significantly associated with poor overall survival. Single-cell analysis revealed spatial heterogeneity of CAF activation, with immune and inflammatory CAF markers enriched in low-stemness tumor cells. SYK was identified as a central hub gene shared across CAF subtypes, suggesting its role in stromal signaling. Conclusions: Our study reveals CAF subtype-associated patterns with prognostic and functional relevance in GBM. Targeting CAF subpopulations and key mediators such as SYK may represent a promising therapeutic strategy in GBM. Full article