Search Results (136,034)

Purpose: Obesity, characterized by abnormal fat accumulation with comorbidities, continues to increase dramatically, particularly in the pediatric population. Identifying the environmental and genetic causes underlying the development of obesity during early childhood is crucial for establishing preventive and protective treatments for this complex disease. We aimed to investigate genetic variants related to non-syndromic early-onset childhood obesity. Methods: Whole-exome sequencing was performed in three independent consanguineous families with obesity, including three index cases and two additional affected siblings. Non-synonymous variants with minor allele frequency < 0.01 in all normal populations were filtered using the Genomize-SEQ Platform. Variant confirmations and familial segregations were analyzed by Sanger sequencing. Results: WES revealed a shared ATXN3 gene variant and two known variants of the SH2B1 and ADIPOQ genes, which were reported to be associated with obesity. Additionally, five heterozygous novel gene variants of the ANKK1, NEGR1, OGDH, ABCB1, and GSK3B genes were identified, which are predicted to cause excessive fat accumulation and disruption of energy balance in individuals. Conclusions: We suggest that the cumulative effects of all obesity-associated detected variants lead to the early-onset obesity phenotype observed in individuals. Hence, periodic follow-up and treatment opportunities are recommended for index cases, alongside the adoption of a more active lifestyle and healthy nutrition practices. Full article

The advent of breast cancer molecular subtyping has transformed management, enabling treatment personalisation and de-escalation beyond traditional stage-based approaches. Established biomarkers, such as Ki-67 in luminal disease, HER2 amplification, and PD-L1 expression in triple-negative breast cancer, underpin seminal clinical trials yet remain imperfect predictors of response and long-term outcome. MicroRNAs have emerged as promising next-generation biomarkers and therapeutic tools. As master regulators of gene expression, both tumour-derived and circulating microRNAs can refine diagnosis and molecular subclassification, inform prognosis and therapeutic selection, act as treatment sensitisers, and potentially serve as direct therapeutic targets. Well-characterised miRNAs such as miR-221 have been implicated in endocrine resistance, while recent liquid-biopsy approaches have enabled the identification of circulating miR-145 and exosomal miR-155 as predictors of pathological complete response in HER2-positive disease. Their detectability in tissue, blood and other biofluids offers a minimally invasive means to dynamically monitor cancer behaviour and response, supporting more precise therapeutic decision-making. This review synthesises the current evidence for miRNA-based biomarkers across oestrogen-receptor positive, HER2-positive and triple-negative breast cancer and outlines their potential integration into biomarker-driven clinical trial designs and personalised treatment strategies. Full article

Phellodendron amurense Rupr. is a native tree species in China, well known for its significant medicinal value. Its pharmacological activity mainly derives from the abundant isoquinoline alkaloids in its bark. Berberine serves as the key compound underlying the multiple pharmacological effects of P. amurense and exhibits organ-specific accumulation. However, the genetic mechanisms governing this organ-specific accumulation remain unclear. Genes encoding O-methyltransferase (OMT) and cytochrome P450 (CYP) may play an important role in this regulatory process. In this study, by integrating transcriptomic and metabolomic data from the leaves and stems of P. amurense plantlets, we identified core candidate genes and transcription factors (TFs) that regulate the differential biosynthesis of berberine between these two organs. The results showed that 37 metabolites were significantly upregulated in stems, including main medicinal components such as berberine and jatrorrhizine, while 8497 genes were differentially expressed between leaves and stems. Among these, downstream genes in the berberine biosynthesis pathway, including OMTs and CYPs, were predominantly highly expressed in stems. A co-expression regulatory network identified some TFs such as PaBES1, PaWRKY12/13, PaNAC5, and PaMYB12 as the key nodes regulating the differential biosynthesis of berberine. Phylogenetic analysis classified the 97 PaOMTs into four subgroups. Core candidate genes such as PaOMT7 and PaOMT9 were contained in subgroup IV, potentially contributing to the specific modification of characteristic alkaloids in P. amurense. This study reveals the transcriptional regulatory networks underlying the organ-specific accumulation of berberine in P. amurense plantlets, providing key targets and theoretical support for the targeted improvement and development of elite medicinal varieties. Full article

Oral squamous cell carcinoma (OSCC) remains a major cause of cancer-related morbidity and mortality, and reliable biomarkers for early diagnosis and risk stratification are still lacking. Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) can regulate gene expression through competing endogenous RNA (ceRNA) interactions, but OSCC-specific ceRNA axes with clinical relevance are still poorly defined. We integrated lncRNA, miRNA, and mRNA expression data from six OSCC-related datasets in the Gene Expression Omnibus with in silico interaction predictions to construct an OSCC-focused ceRNA network and examine its association with survival. The resulting network comprised 8 mRNAs, 22 miRNAs, and 12 lncRNAs. Within this network, we identified a previously unrecognized XIST–miRNA–ZNF662 axis that has not been characterized in OSCC. ZNF662 was consistently downregulated in tumors, and higher ZNF662 expression was associated with improved survival in an independent head and neck squamous cell carcinoma cohort. Components of the XIST–miRNA–ZNF662 axis also showed excellent diagnostic performance for distinguishing OSCC from normal samples across (Gene Expression Omnibus) GEO datasets, highlighting a ceRNA module with promising diagnostic and prognostic potential that could be explored further in non-invasive biofluids. Full article

Annular lichenoid dermatitis of youth (ALDY) is a rare lichenoid dermatosis characterized by distinctive clinical and histopathological features. Its etiopathogenesis remains poorly understood, and previously reported cases have consistently demonstrated polyclonal T-cell receptor (TCR) gene rearrangements. We report a patient with clinical, histopathological, and immunohistochemical findings consistent with ALDY in whom molecular analysis revealed monoclonal T-cell receptor rearrangement within the skin lesions. To our knowledge, this represents the first reported case of ALDY demonstrating T-cell monoclonality. This novel finding expands the current understanding of the molecular spectrum of ALDY and raises the possibility that cases with monoclonal T-cell rearrangement may represent a distinct clinicopathological variant. Based on our findings, we tentatively propose the term monoclonal annular lichenoid dermatitis of youth (MALDY) to describe this potential entity. Further studies are warranted to clarify its clinical significance and relationship to other cutaneous T-cell disorders. Full article

Background/Objectives: Multidrug-resistant (MDR) Escherichia coli resistant to third-generation cephalosporins are a growing One Health concern, but data on extraintestinal pathogenic E. coli (ExPEC) from wildlife in North Africa remain scarce. We aimed to characterize ESBL/AmpC-producing ExPEC from captive wild mammals in Tunisia and to situate these isolates in a global genomic context. Methods: In 2018, 30 fecal samples from 14 captive wild mammals in a private farm were screened on cefotaxime agar. Four cefotaxime-resistant E. coli isolates were recovered from a llama, lion, hyena, and tiger. Antimicrobial susceptibility testing and Illumina whole-genome sequencing were combined with in silico typing, resistome and virulome profiling, plasmid and mobile element analysis, human pathogenicity prediction and core-genome MLST-based minimum-spanning trees. Results: All isolates were MDR but remained susceptible to carbapenems, colistin and tigecycline. Two ST162/B1 isolates from the llama and tiger carried bla_CMY-2, whereas two ST69/D isolates from the lion and hyena harbored bla_CTX-M-15 and qnrS1. Genomes encoded 61–68 antimicrobial resistance genes and 114–131 virulence-associated genes, together with IncF-, IncI1- and IncY-type plasmids and IS26-rich insertion sequence profiles. Mating-out assays yielded cefotaxime-resistant transconjugants, supporting plasmid transferability of bla_CMY-2 or bla_CTX-M-15. PathogenFinder predicted a ≥0.93 probability of human pathogenicity for all isolates. cgMLST-based trees showed that Tunisian ST69 and ST162 clustered within internationally disseminated lineages containing human, animal and food isolates, rather than forming wildlife-restricted branches. Conclusions: Captive wild mammals in Tunisia can harbor high-risk ExPEC lineages combining ESBL/AmpC production, multidrug resistance and extensive virulence and mobility gene repertoires. These findings highlight captive wildlife as potential reservoirs and sentinels of clinically relevant E. coli and underscore the need for integrated WGS-based One Health surveillance at the human–animal–environment interface in North Africa. Full article

Soil salinization severely restricts rice growth and global grain production, posing a serious threat to food security. Dongxiang wild rice serves as an important genetic resource for improving salt tolerance in rice. In this study, a backcross inbred line (BIL) population derived from Dongxiang wild rice DY80 and an indica restorer line R974 were used to detect QTLs for salt tolerance at the germination and seedling stages. Four QTLs related to germination-stage salt tolerance and three QTLs for seedling-stage salt tolerance were identified, among which qSTS5 on chromosome 5 showed the largest effect with a LOD score of 8.0 and a phenotypic contribution rate of 14.8%. An F_2:3 population was further constructed to validate qSTS5, which increased its LOD value to 10.4 and phenotypic variation explanation rate to 18.5%, and the locus was finally delimited to a 2.3 Mb interval. Transcriptome analysis identified eight differentially expressed genes (DEGs) within the qSTS5 region under salt stress. Sequence comparison between the parents revealed that three DEGs had no coding-region variations, while the other five showed nucleotide polymorphisms leading to amino acid changes. Among them, Os05g0349800 encodes a LEA protein, a typical stress-responsive gene, and harbors a frameshift mutation in DY80. Combined with its induced expression pattern under salt stress, this gene was considered the most promising candidate for qSTS5. This study not only provides a stable major QTL for rice breeding for salt tolerance but also lays a foundation for dissecting the molecular mechanism of salt tolerance in Dongxiang wild rice. Full article

Glucose oxidase (GOD) is a natural enzyme with antioxidant and antimicrobial properties but its effects on sows remain insufficient. This study investigated the effects of dietary GOD supplementation during gestation on inflammatory response, antioxidant capacity, immune function, and gut microbiota of farrowing sows. Twenty-four primiparous sows were randomly assigned to two groups and fed a basal diet or a basal diet supplemented with GOD (300 mg/kg diet) from gestation day 30 to farrowing. GOD supplementation significantly increased triglyceride, superoxide dismutase, and immunoglobulin M levels (p < 0.05), and significantly decreased alanine aminotransferase and interleukin-6 levels in serum (p < 0.05); significantly reduced placental interleukin-1β, malondialdehyde and tumor necrosis factor-α concentrations and NF-κB gene expression (p < 0.05), and elevated glutathione peroxidase activity and relative mRNA expressions of Nrf2, HO-1, GPX1 and SOD2 (p < 0.05). Moreover, GOD supplementation altered the fecal microbial community structure (p < 0.05), significantly reducing Clostridium, dgaA-11_gut_group, Bacteroides, and Prevotellaceae_NK3B31_group abundance (p < 0.05), while enriching Lachnospira, unclassified_f_Erysipelotrichiaceae, and Anaerostipes (p < 0.05). Collectively, 300 mg/kg glucose oxidase supplementation during mid-to-late gestation improved the health status of farrowing sows by improving nutrient utilization, immune function and antioxidant capacity, and altering fecal microbial structure and relative abundances. Full article

Enteroviruses are positive-sense single-stranded RNA viruses and common pathogens that are responsible for diverse public health diseases. To facilitate the study of the virus biology and pathogenesis of enterovirus, we developed a rapid method for construction of the enteroviral cDNA clones including enterovirus A71 (EV-A71) and coxsackievirus B5 (CVB5). As described for EV-A71, the full-length cDNA of CVB5 was amplified by long-distance PCR and cloned into a T7 promoter-containing plasmid using directional seamless cloning technology. The virus was successfully rescued by single transfection into cells stably expressing T7 polymerase and exhibited characteristics similar to the parental virus. Next, through systematic construction and the optimization of the EV-A71 and CVB5 reporter viruses, we successfully generated two novel reporter virus panels with high virus titers, rapid replication, and relatively stable genetic inheritance across passages using the new fluorescence proteins mScarlet3-H and the smallest miRFP670nano3. Analysis of critical determinants for the reporter virus construction revealed that reporter gene sizes, genomic insertion sites, and the usage of protease recognition sites are crucial parameters. The EV-A71 and CVB5 reporter viruses enable antiviral drug evaluation, as demonstrated by our identification of gemcitabine as a broad-spectrum inhibitor of both viruses. These systems also facilitate the functional interrogation of host factors, exemplified by our discovery that METTL3 promotes EV-A71 and CVB5 replication. These reverse genetic tools, including infectious cDNA clones and reporter viruses, will advance basic enterovirus biology and accelerate antiviral drug discovery. Full article

Tocosh, an ancestral fermented potato product, relies on spontaneous processes near freshwater springs under extreme high-altitude conditions and represents an underexplored reservoir of microbial diversity with significant potential for the discovery of probiotics. This study provides, for the first time, a comprehensive probiogenomic characterization of 19 lactic acid bacteria (LAB) isolated from tocosh, in the Peruvian Andes, at three distinct altitudes—2992, 3882, and 4451 m above sea level (m.a.s.l.)—using whole genome sequencing (WGS) and bioinformatic profiling. A total of six species were identified: Lactiplantibacillus plantarum and Levilactobacillus brevis at all three study sites, Lacticaseibacillus paracasei and Lentilactobacillus buchneri at the lowest altitude (2992 m.a.s.l.), and Latilactobacillus curvatus and Latilactobacillus sakei at the highest altitudes (3882 and 4451 m.a.s.l.). Our results reveal that the extreme Andean environment is associated with stability in L. plantarum (genome sizes from 3.36 to 3.38 Mb) across all altitudinal levels. Functional analysis using CAZymes determined that L. brevis and L. buchneri act as primary degraders (high percentage of glycosyl hydrolases/carbohydrate binding) while L. curvatus and L. sakei function as primary builders through exopolysaccharide biosynthesis, likely a cryoprotective adaptation preventing cell damage during cold temperatures at high altitudes. Additionally, L. sakei and L. plantarum exhibited unique auxiliary activity (AA) enzymes, suggesting an oxidative mechanism to breach recalcitrant starch surfaces. All isolates were confirmed as genomically safe, lacking transferable antibiotic resistance genes and virulence factors. Pathogenic risk potential scores (PPRS) were consistently ≤ 2.0, fulfilling qualified presumption of safety (QPS) criteria. These findings provide the first genomic characterization of tocosh-associated LAB, establishing a basis for tocosh standardization, enabling the rational design of starter cultures that preserve ancestral traits and ensure microbiological safety in modern food applications. Full article

Background: Non-syndromic retinitis pigmentosa (RP) is characterized by rod–cone degeneration, resulting in night blindness, visual field constriction, and eventual blindness. Recessively inherited RP is predominantly exacerbated in consanguineous populations, such as Pakistan. This study aimed to perform the genetic analysis of sixteen non-syndromic RP segregating Pakistani families, and to summarize the mutation spectrum of non-syndromic RP in our population by reviewing related literature. Methods: We screened 16 non-syndromic RP families using targeted capture panel sequencing of 344 genes related to inherited retinal dystrophies. Variants were prioritized based on rarity (minor allele frequency (MAF) < 0.001 in the gnomAD South Asian subset), pathogenicity assessments using ACMG/AMP criteria, and REVEL scores (>0.5). Candidate variants were validated for familial segregation through Sanger sequencing. Results: We identified 15 distinct variants across 14 genes associated with non-syndromic retinitis pigmentosa, comprising 6 missense, 7 nonsense, 1 frameshift, and 2 splice-site variants, including 4 novel variants, i.e., p.(Val220Met) and p.(Pro1282SerfsTer2) in RP1, 1 each in PDE6B (c.2021+5G>A), and PRCD p.(Ser38Ter). Homozygosity predominated, underscoring the impact of consanguinity on the burden of autosomal recessive disease in the present cohort, while the CERKL disease-causing mutation, i.e., p.(Arg257Ter), recurred in two families. Conclusions: This study expands Pakistan’s non-syndromic RP mutational spectrum by identifying novel variants in RP1, PDE6B, and PRCD, alongside recurrent CERKL and RHO mutations of the local population. The literature review suggests that RP1, TULP1, and PDE6B are among the most mutated genes in our population, supporting the value of population-specific genetic panels to enhance diagnostics and carrier screening. Full article

Cervical cancer (CC) is an alarming global health problem, with predominantly higher incidence, lethal progression, and mortality among women of African ancestry (AA) than women of European ancestry (EA). Although persistent high-risk human papillomavirus (HPV) integration and infection are the key etiological factors, currently available evidence implicates epigenetic reprogramming as a prime contributor to ancestry-associated differences in CC pathogenesis. To address these disparities, we performed genome-wide DNA methylation profiling of HPV-positive cervical intraepithelial neoplasia (CIN) lesions from AA (n = 15) and EA (n = 15) women. Differential methylation analysis identified a distinct epigenomic landscape in AA-CIN lesions, with widespread hypermethylation and hypomethylation at promoter-associated and regulatory CpG sites. Pathway enrichment analyses highlighted dysregulation of ECM-receptor interaction, focal adhesion, PI3K-Akt, MAPK, Ras, Rap1, and RUNX-dependent transcriptional networks. Comparative analysis across CIN grades (CIN1–CIN3) revealed progressive epigenetic reprogramming affecting cell cycles, cytoskeletal dynamics, signaling, and metabolic pathways. Among hypermethylated tumor suppressor genes, SH3GL2 and ARHGAP25 showed significantly higher methylation in AA lesions, accompanied by concomitant loss of their protein expression. MBD1, a methylation-binding regulator, was upregulated in AA-CIN lesions, coinciding with global loss of 5-hydroxymethylcytosine (5hmC), suggesting enhanced transcriptional repression. In contrast, EA lesions retained protein expression and 5hmC levels. Collectively, these findings indicate that early, ancestry-specific epigenetic modifications target tumor suppressor pathways and converge on oncogenic signaling, cytoskeletal remodeling, and cell–cell adhesion. Our study provides mechanistic insight into CC health disparities, identifying SH3GL2 and ARHGAP25 hypermethylation as potential biomarkers, and highlighting epigenetic regulation as a contributor to disparate CC progression in AA women. Full article

This study investigated the epidemiology, antimicrobial resistance, and transmission risks of β-lactamase, cefotaxime-hydrolyzing, Munich (bla_CTX-M)-positive Escherichia coli (CTX-M-EC) in large-scale pig farms in Jiangxi Province (China). In total, 278 samples (manure, wastewater, drinking water, and flies) were collected. CTX-M-EC strains were isolated and analyzed using antimicrobial susceptibility testing, resistance gene profiling, multilocus sequence typing, and genetic environment analysis with gene transfer assessed by transduction experiments. Twenty-seven CTX-M-EC strains (9.71%) were isolated, all exhibiting multi-drug resistance with 100% resistance to cefotaxime, ciprofloxacin, and tetracycline, and >90% resistance to ceftazidime, florfenicol, and trimethoprim-sulfamethoxazole. Four bla_CTX-M subtypes were identified. bla_CTX-M-55 was the predominant subtype (70.37%) and was distributed across diverse sequence types and serotypes. Each strain harbored multiple antibiotic resistance genes, plasmids, and virulence genes. Mobile elements such as ISEcp1 and IS26 were detected surrounding the bla_CTX-M gene, and 96.29% of strains successfully transferred the bla_CTX-M gene via transduction. Clones highly homologous to pig manure strains were detected in flies and sewage, suggesting that this resistance gene can spread between animals, the environment, and vectors. These findings highlight the high transmission risk of bla_CTX-M and underscore the need for rational antibiotic use, waste management, and vector control within a One Health framework. Full article

Body measurement traits are key indicators for evaluating growth performance, production potential, and breeding value in Yili horses. However, studies investigating the association between body measurement traits and mutation loci in Yili horses remain limited. In this study, 255 adult Yili mares were used as the study population, including 152 speed-type and 103 meat-type individuals. Whole-genome resequencing was performed, and four phenotypic traits and body weight were measured. A mixed linear model (MLM)-based genome-wide association study (GWAS) was conducted using GEMMA (v 0.98.5), incorporating age, farm effects, and top three principal components as covariates. In parallel, a machine learning-based GWAS (ML-GWAS) framework integrating Lasso regression for feature selection and Random Forest (RF) with five-fold cross-validation was applied to improve the detection of complex genetic signals. Using both conventional GWAS methods and machine learning-based GWAS approaches, a total of 238 mutation loci significantly associated with body measurement traits were identified, and 277 candidate genes were annotated. These genes may play a role in several biological processes, including skeletal development, muscle formation, cell growth, energy metabolism, and protein synthesis. The findings suggest that genetic variations have already manifested among the studied groups. The results indicate that genetic differences have already emerged among different Yili horse populations at the genomic level. Furthermore, this study demonstrates that integrating machine learning with conventional GWAS effectively improves the detection efficiency of loci associated with complex traits, while also providing new molecular evidence for understanding the genetic mechanisms underlying differences in body measurement traits among Yili horse groups. Full article

Background: Recent advances in spatial transcriptomic technologies enable in situ gene expression profiling while preserving spatial context. This capability is particularly important for studying the tumor microenvironment (TME), where diverse and admixed cell populations interact within highly organized spatial niches that influence tumor progression and therapeutic response. However, the limited resolution of early spatial transcriptomic platforms results in each spatial spot capturing transcripts from multiple cell types, making accurate spot deconvolution or annotation a critical yet challenging step in downstream data analysis. The level of complexity will be particularly prominent in heterogeneous samples like the tumor microenvironments where multiple cell types are highly admixed and reliable single-cell reference atlases may usually be unavailable. Methods: In this paper, we developed our method called STEA, which is a novel and accurate reference-independent enrichment-based annotation algorithm for major cell type. Unlike the existing approaches, STEA does not require single-cell RNA sequencing datasets as reference, offering both flexibility and computational efficiency in execution. Results: We performed comprehensive benchmarking using a variety of simulated datasets across different platforms and scenarios and demonstrated the superior accuracy of STEA. Apart from synthetic data, we also evaluated multiple real datasets to further exemplify its practical applicability on both oncology-related and oncology-unrelated data. More importantly, we could confidently demonstrate the high concordance between prediction of STEA and histological classification by experienced pathologist. Conclusion: Our STEA algorithm provides a practical reference-independent framework to complement the cutting-edge spatial transcriptomics in genomics studies, facilitating accurate downstream high-dimensional spatial characterization of cellular and molecular landscapes, reconstruction of tissue architecture as well as cell–cell communication in malignant and non-malignant scenarios. Taken together, our comprehensive evaluation demonstrates the robustness and reliability of STEA, highlighting its potential as a valuable tool for studying complex tissue organization, particularly within heterogeneous TME. Full article