Biomedical subjects

Feng Zhang

Publications and source records attributed to Feng Zhang.

13 recordsLinked to original sources

PubMed2026

Identification of Two Novel Compound Heterozygous ADAMTS17 Variants Associated With Weill-Marchesani Syndrome 4.

PURPOSE: Weill-Marchesani syndrome 4 (WMS4) is frequently underdiagnosed when standard exome sequencing fails to detect noncoding pathogenic variants. We aimed to identify the genetic cause in a patient with suspected WMS4 and to characterize the splicing-altering mechanism of a deep intronic variant in ADAMTS17. MATERIALS AND METHODS: Whole-exome sequencing combined with whole-genome sequencing was conducted in the proband, who presented with ocular and skeletal manifestations of WMS4. A minigene splicing assay was applied to verify the splicing abnormality caused by the deep intronic variant. RESULTS: The patient showed high myopia, brachydactyly, accelerated growth velocity, and advanced bone age. Two novel compound heterozygous variants in ADAMTS17, c.1655G>A and c.450+38C>A, were identified. The deep intronic variant c.450+38C>A was confirmed by minigene assay to disrupt normal pre-messenger RNA splicing by inducing retention of a 35-base pair intronic segment, leading to a frameshift and premature termination (p.G152Lfs*23). CONCLUSIONS: This study broadens the mutational spectrum of ADAMTS17. Whole-genome sequencing combined with functional splicing validation is essential for resolving molecularly undiagnosed cases of WMS4, particularly when deep intronic variants are suspected, and supports clinical genetic testing and genetic counseling of hereditary connective tissue disorders.

ADAMTS17↗

PubMed2026

Adolescent depression as a systemic multimorbidity catalyst: integrated genetic and metabolic pathway analysis.

BACKGROUND: Although adolescent depression has been linked to individual chronic conditions, its broader role in shaping multimorbidity risk remains understudied. METHODS: A total of 87,562 UK Biobank participants were included, of whom 18,851 had documented adolescent depression. Cox proportional hazards models were applied to evaluate associations between adolescent depression and 24 chronic diseases, followed by stratified analyses by sex and age. Two-sample Mendelian randomization (MR) was then conducted to infer causality for diseases showing significant associations. Genomic colocalization analyses were performed using relevant GWAS data to identify shared causal variants. Mediation analyses were performed to detect possible mediating factors, including the frailty index, KDM biological age acceleration, allostatic load and 30 circulating biomarkers. RESULTS: Adolescent depression was associated with elevated risk for 12 chronic diseases, with strongest associations for hypothyroidism (HR = 1.29 [1.18-1.42]), diabetes (HR = 1.25 [1.13-1.38]) and chronic obstructive pulmonary disease (COPD) (HR = 1.74 [1.50-2.01]). Risks were notably higher among females and younger adults. MR confirmed likely causal relationships for hypothyroidism (OR = 1.45 [1.03-2.05]), diabetes (OR = 1.01 [1.01-1.02]) and COPD (OR = 1.04 [1.02-1.06]). Genomic colocalization revealed a shared genetic signal at the CDSN/PSORS1C1 locus between adolescent depression and hypothyroidism. Mediation analyses revealed disease-specific pathways: creatinine for hypothyroidism, testosterone for diabetes, KDM biological ageing for COPD and frailty index across all three conditions. CONCLUSIONS: Adolescent depression confers systemic vulnerability through genetic and metabolic mechanisms, with amplified risks in females and individuals aged ≤55 years. These findings support early, integrated interventions to mitigate long-term multimorbidity.

Humans↗

PubMed2026

Development and internal validation of a six-gene prognostic model based on galactose metabolism for overall survival in lung adenocarcinoma.

BACKGROUND: Lung cancer remains a leading cause of cancer incidence and mortality globally. Metabolic reprogramming promotes tumor progression and shapes an immunosuppressive tumor microenvironment. Galactose metabolism is involved in multiple malignancies, but its prognostic value in lung adenocarcinoma (LUAD) remains unclear. This study aimed to develop and internally validate a galactose metabolism-related multigene prognostic model for LUAD. METHODS: A retrospective prognostic model development and internal validation study was performed using RNA sequencing (RNA-seq) and clinical data from 585 LUAD patients in The Cancer Genome Atlas (TCGA). Differential expression, functional enrichment, univariate and multivariate Cox regression were applied to construct a prognostic gene signature. Internal validation was performed using bootstrap resampling. Model performance was evaluated by time-dependent receiver operating characteristic (ROC), C-index, calibration, and Kaplan-Meier analysis. Associations between the model and immune infiltration, immunotherapy responsiveness, and tumor stemness were also analyzed. RESULTS: A six-gene prognostic model (GALT, GANC, PGM1, GALM, B4GALT1, PGM2) was developed. The model showed good discrimination with 1-, 3-, and 5-year area under the curve (AUC) values of 0.719, 0.693, and 0.684, respectively. The low-risk group exhibited significantly longer survival, increased antitumor immune infiltration (CD8+ T cells, M1 macrophages, activated CD4+ memory T cells), higher expression of T cell proliferation-related genes, lower immune checkpoint expression, better predicted immunotherapy response, and lower tumor stemness compared with the high-risk group. CONCLUSIONS: We developed and internally validated a six-gene prognostic model for LUAD based on galactose metabolism. The model shows moderate prognostic performance and is associated with antitumor immunity and tumor stemness. It may be used for prognostic risk stratification and to guide personalized immunotherapy in LUAD.

Galactose metabolism↗

PubMed2026

Sex-specific aging clocks from a large-scale human phenome reveal distinct aging transitions and circulating signatures.

Aging is a primary risk factor for chronic diseases, yet its progression varies among individuals and between sexes. Here, under the X-Age Project, we profiled the clinical aging phenome of the Multicentric Chinese Aging Study (mCAS) through a cross-sectional analysis of 172 clinical measures from more than 100,000 participants aged 18-98 years across three centers. These profiles enabled sex-specific clinical aging clocks that revealed divergent aging trajectories between women and men during midlife that converged in later life. Phenome-wide analyses revealed age-related accumulation of metabolic factors, including low-density lipoprotein, triglycerides, glucose and uric acid, and tumor markers, such as carcinoembryonic antigen and human epithelial protein 4. These age-accumulating factors induced senescence-related phenotypes in human endothelial cells. Furthermore, a high-fat diet mouse model with dietary reversal supported the modifiability of metabolic burden-induced aging. Together, this work establishes metabolic and tumor marker accumulation as actionable drivers of human aging, paving the way for personalized, sex-stratified geroprotective interventions.

Humans↗

PubMed2026

A geroprotective probiotic and its functional metabolite counteract inflammaging to extend healthspan.

The gut microbiome profoundly influences host aging, yet the specific microbes and mechanisms governing divergent aging trajectories remain elusive. In this study, we delineated enterotype-specific gut microbial remodeling during aging and developed a microbiome-based aging clock (MicroAge) to track biological aging trajectories. We identified Bifidobacterium pseudocatenulatum (B. pseudocatenulatum) as a candidate geroprotective species consistently depleted during aging across both sexes and multiple Chinese cohorts. In naturally aged mice, oral B. pseudocatenulatum monotherapy rescued intestinal homeostasis, mitigated multiorgan inflammaging, enhanced cognitive-motor performance and extended healthspan. Mechanistically, we characterized 5-aminovaleric acid betaine (5-AVAB) as a key B. pseudocatenulatum-derived metabolite whose levels decline physiologically in aging humans. 5-AVAB supplementation partially recapitulated a broad spectrum of the systemic benefits observed with B. pseudocatenulatum treatment, including improved cognitive and motor function and suppressed multiorgan inflammaging. Our findings identify the B. pseudocatenulatum-5-AVAB axis as a promising target for microbiome-based interventions to promote healthy aging.

Animals↗

PubMed2026

YAP Promotes Microtubule Growth to Facilitate Sarcomere Disassembly in Adult Cardiomyocytes.

BACKGROUND: Mature mammalian cardiomyocytes (CMs) develop compact sarcomeric structures that inhibit proliferation. Consequently, CMs must dedifferentiate to a fetus-like state, which is accompanied by sarcomere disassembly, to enable successful cytokinesis. However, the regulation and coordination of CM dedifferentiation, cell cycle progression, and sarcomere reorganization remain unclear. METHODS: We generated adenovirus and adeno-associated virus (MyoAAV) vectors expressing YAP5SA and YAP5SA-S94A under Xon control for LMI070-inducible protein expression. We also developed MyoAAV-cTnT-Tuba1b-shRNA-miR30 for cardiomyocyte-specific knockdown of Tuba1b. These tools were used to investigate CM dedifferentiation and proliferation and sarcomere disassembly. We also performed Cleavage Under Targets and Release Using Nuclease to map the genome-wide binding sites of YAP5SA and YAP5SA-S94A in combination with RNA sequencing to identify YAP target genes. In addition, time-course live-imaging analysis was used to evaluate microtubule and sarcomere dynamics in adult CMs. RESULTS: We show that microtubule expression and network density decline with cardiac maturation. Overexpression of YAP5SA, a constitutively active YAP mutant, promotes microtubule growth by stabilizing microtubule dynamics, leading to CM dedifferentiation, cell cycle re-entry, and sarcomere disassembly. In contrast, colchicine blocks these processes and significantly attenuates YAP-induced cardiac regeneration. Live imaging reveals a distinct mode of sarcomere disassembly driven by enhanced microtubule polymerization, wherein microtubule plus-ends directly interact with α-actinin and displace α-actinin fragments, thereby facilitating sarcomere breakdown. Furthermore, the YAP5SA-S94A mutation, which disrupts the YAP and TEA domain interaction, significantly reduces YAP5SA-induced microtubule growth, sarcomere disassembly, and cell cycle activity. Mechanistically, cleavage under targets and release using nuclease combined with RNA sequencing identified direct YAP targets, including Ajuba and Tuba1b, which are critical for microtubule growth. CM-specific knockdown of Tuba1b attenuates YAP-driven sarcomere disassembly. CONCLUSIONS: These findings identify microtubule networks as an essential regulator modulating CM dedifferentiation and sarcomere reorganization, which is critical for CM cytokinesis and cardiac regenerative repair.

Animals↗

PubMed2026

Life-course stress exposure and cognitive decline in middle-aged and older Chinese adults: The role of sex differences and educational protection.

BACKGROUND: Stressful life events (SLEs) across the life course have been associated with cognitive decline, but evidence on their cumulative impact and potential modifiers remains limited. We aimed to examine the associations between SLE exposure in childhood, adulthood, or both life stages and cognitive trajectories, and to investigate whether these associations vary by sex and education. METHODS: We used data from the China Health and Retirement Longitudinal Study, a nationally representative cohort of adults aged ≥45 years. Participants with complete data on SLEs, cognition, and covariates were included (n = 5922). SLEs were retrospectively assessed for childhood and adulthood. Cognitive function was measured using a composite score (range 0-21) across three waves (2011-2015). Linear mixed-effects models examined longitudinal associations, adjusting for sociodemographic factors, health behaviors, and chronic conditions, with interaction analyses for sex and education. RESULTS: Compared with participants reporting no SLEs, cumulative exposure showed the strongest association with cognitive decline (β = -0.52, 95% CI -0.69 to -0.35), followed by childhood-only (β = -0.34, -0.48 to -0.20) and adulthood-only exposure (β = -0.22, -0.37 to -0.07). Sex significantly moderated the associations for childhood and cumulative exposure, with women exhibiting greater cognitive vulnerability. Higher educational attainment attenuated the associations between single-period stress and cognitive decline, with only partial protection observed against cumulative adversity. CONCLUSION: Cumulative life-course stress is associated with accelerated cognitive decline in Chinese middle-aged and older adults. Women appear more vulnerable to stress-related cognitive effects, whereas higher education confers partial resilience, highlighting the need for sex-sensitive and education-informed prevention strategies.

Humans↗

PubMed2026

Genetic heterogeneity affects the risk of incident depression, comorbidity, and response to environment: A prospective trajectory study.

BACKGROUND: Depression exhibits significant heterogeneity in its genetic underpinnings. The role of genetic components in the development of depression and its comorbidities remains insufficiently explored. METHODS: First, depression risk loci from a large-scale genome-wide meta-analysis were annotated to Gene Ontology (GO) terms by functional enrichment. GO-based polygenic risk scores (GO-PRS) were then calculated for individuals in the UK Biobank. Principal component analysis (PCA) was applied for dimensionality reduction, followed by cluster analysis to identify genetic subtypes of depression. Multistate models were applied to assess the impact of genetic patterns on the trajectory from healthy status to incident depression, and depression to 26 subsequent diseases, as well as the associations between environmental factors and disease trajectories across genetic subtypes. RESULTS: Participants were categorized into three genetic subtypes: immune-dominant, neuro-dominant, and comprehensive-risk. Significant differences in risk of depression and subsequent diseases, and susceptibility to environmental factors were observed across subtypes. Comprehensive-risk subtype showed higher risks of depression compared to immune-dominant (HR: 1.10, 95% CI: 1.05-1.15) and neuro-dominant subtype (HR: 1.12, 95% CI: 1.08-1.16). Comprehensive-risk subtype exhibited higher risks of transition from depression to subsequent diseases, such as anemia compared to immune-dominant subtype, and diseases of the digestive system compared to neuro-dominant subtype. Environmental factors were more strongly associated with the transition from depression to subsequent diseases in immune-dominant and comprehensive-risk subtypes, including cardiovascular, respiratory, and metabolic diseases. CONCLUSIONS: Our findings highlight the genetic heterogeneity of depression and comorbidities, and shed light on how genetic components modulate responses to environmental factors.

Humans↗

PubMed2026

A Bibliometric Analysis of Systematic Reviews in the Field of Ankylosing Spondylitis from 2007 to 2025.

BACKGROUND: Ankylosing spondylitis (AS) is an inflammatory autoimmune disease and the most common clinical form of spinal arthritis. Over the past decades, tremendous progress has been made in systematic reviews on AS. This study aimed to conduct a bibliometric analysis of AS-related meta-analyses to visualize the hotspots and trends in the field. METHODS: A comprehensive search was conducted for publications of AS meta-analysis from 2007 to 2025 using the Web of Science Core Collection database. Bibliometric analysis was performed using the Bibliometrix software package, VOSviewer, and CiteSpace. RESULTS: In total, 1073 articles were identified, and the number of relevant publications showed annual growth. China, the USA, and England were the most productive countries. Annals of the Rheumatic Diseases was the most productive journal (54, 10.65%), Pan Faming was the most productive author (23, 4.54%), and Anhui Medical University (45, 8.88%) was the most productive institution. High-frequency keywords were mainly grouped into five themes: complications, biologics, physical therapy exercises, gut microbiota, and analytical methods. DISCUSSION: This first bibliometric analysis of AS-related EBM research showed a 20-year upward trend in AS meta-analyses, consistent with prior studies. CiteSpace revealed that China (top since 2014) and the USA led in publications (53 countries) but had limited collaboration. Pan Faming (23 articles) was the most active author, and Annals of the Rheumatic Diseases published the most articles. Keyword analysis identified five themes (e.g., AS complications, biologics) and research frontiers: pre-2012 genome-AS links, post-2012 multi-center RCTs, and the recent focus on AS patients' HRQoL. Limitations included database and English-language bias; future meta-analyses should adopt standardized outcomes. CONCLUSION: In recent years, there has been a remarkable surge in the number of meta-analyses on AS. This significant increase underscores the importance of this research area. Studies in this field have mainly focused on several key aspects: risk factors, network meta-analysis, and quality- of-life studies. These findings are highly valuable for understanding advancements in ASrelated research and can also encourage researchers and clinicians to focus on both effective medical treatments and the well-being of AS patients.

Spondylitis, Ankylosing↗

PubMed2025

Chromosome-level genome assembly of the large carpenter bee Xylocopa dejeanii Lepeletier, 1841 (Hymenoptera: Apidae).

Xylocopinae, a diverse bee subfamily comprising over 1,000 bee species, and also a major model system for studying the pollination and evolution of sociality. The lack of chromosome-level genome assembly resources for the Xylocopinae limits our research of their biology and evolution. Here, we provided the first pseudo-chromosomes genome assembly of the Xylocopa dejeanii combined PacBio CLR long reads, Illumina sequences, and Hi-C data. The final genome is 194.44 Mb located in 16 chromosomes. Our assembly includes 141 scaffolds, with a scaffold N50 length of 13.15 Mb. BUSCO analysis revealed 99.00% completeness. Genome annotation identified 28.27 Mb of repetitive elements, 10,970 protein-coding genes, and 432 ncRNAs. This high-quality X. dejeanii assembly advances our understanding of Xylocopinae genomics and provides new insights into bee evolution.

Animals↗

PubMed2025

GATA2 promotes cervical cancer progression under the transcriptional activation of TRIP4.

The continued rise in recurrence and mortality rates of cervical cancer suggests the need to find novel therapeutic targets. Previous studies suggest that TRIP4 acts as a transcription factor to regulate cervical carcinogenesis and progression. Our aim was to explore whether the key downstream genes of TRIP4 functions same as TRIP4 in promoting cervical cancer development. We analyzed and confirmed the downstream targets of TRIP4 by RNA sequencing in cervical cancer cells with TRIP4 knockdown. The expression correlation between TRIP4 and GATA2 and the effect of GATA2 on cervical cancer cell growth were determined respectively by Western Blot, Scratch, Spheroid, and MTT analyses. Pulldown and ChIP experiments were performed to analyze the binding of TRIP4 to the promoter of GATA2. The clinical significance of GATA2 and TRIP4 expression in cervical cancer patients was analyzed by tissue microarray staining. GATA2 was highly expressed in cervical cancer tissues. Knockdown of GATA2 inhibited the growth, metastasis and stemness of cervical cancer cells and sensitized cervical cancer cells to radiation therapy. The inhibitory effect of TRIP4 knockdown on cervical cancer cells was rescued by GATA2 overexpression. Furthermore, TRIP4 could bind to the specific GATA2 promoter region, thereby activating its transcription. Clinical tissue microarray analysis indicated that the expression of TRIP4 and GATA2 was positively correlated, and high expression of both predicted a poor prognosis in cervical cancer patients. Our study demonstrated that GATA2 functions as the key downstream target of TRIP4 to promote cervical cancer progression and effective intervention of TRIP4/GATA2 signaling is expected to be developed as potential cervical cancer therapeutic strategy.

Humans↗

PubMed2025

Polygenic enrichment analysis in multi-omics levels identifies cell/tissue specific associations with schizophrenia based on single-cell RNA sequencing data.

OBJECTIVE: Understanding the specific cellular origin and tissue heterogeneity in schizophrenia is critically important for exploring the disease etiology. This study aims to investigate these aspects by performing multiple analyses based on omics data. METHOD: We performed single-cell disease relevance score (scDRS) algorithm to link brain single-cell RNA sequencing (scRNA-seq) with schizophrenia risk across multi-omics scales at single-cell resolution. This approach identified cell types with overexpression of schizophrenia-related genes implicated by multi-omics panels (ATAC-seq, RNA-seq, TWAS, and GWAS). Schizophrenia-related genes from these multi-omics panels were extracted and combined with scRNA-seq data to calculate scDRS. Subsequently, the cell-type vs. disease association and tissue heterogeneity were assessed using scDRS for each omics panel. RESULTS: We identified two novel cell subpopulations in the brain that differentially express SCUBE3 (59 cells, 7.0 %) and FN1 (21 cells, 2.5 %). At the individual cell level, schizophrenia-associated cell subpopulations included microglial cell associated with ATAC-seq panel (Passociation = 0.002, Pheterogeneity = 0.009) and deep layer neuron suggestively associated with GWAS panel (Passociation = 0.033, Pheterogeneity = 0.017). At the brain tissue level, microglial cell was significantly associated with cortical plate in ATAC-seq panel (Passociation = 0.002, Pheterogeneity = 0.011). Gene level analysis identified several genes associated with schizophrenia across multi-omics panels. CONCLUSIONS: Our study outlines the signature of cell subpopulations, brain regions, and disease risk genes in schizophrenia at single-cell resolution across multi-omics scales. These findings provide a reference for future precision medicine approaches targeting specific cell types and brain regions in schizophrenia.

Schizophrenia↗

PubMed2024

The prognostic significance of ubiquitination-related genes in multiple myeloma by bioinformatics analysis.

BACKGROUND: Immunoregulatory drugs regulate the ubiquitin-proteasome system, which is the main treatment for multiple myeloma (MM) at present. In this study, bioinformatics analysis was used to construct the risk model and evaluate the prognostic value of ubiquitination-related genes in MM. METHODS AND RESULTS: The data on ubiquitination-related genes and MM samples were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The consistent cluster analysis and ESTIMATE algorithm were used to create distinct clusters. The MM prognostic risk model was constructed through single-factor and multiple-factor analysis. The ROC curve was plotted to compare the survival difference between high- and low-risk groups. The nomogram was used to validate the predictive capability of the risk model. A total of 87 ubiquitination-related genes were obtained, with 47 genes showing high expression in the MM group. According to the consistent cluster analysis, 4 clusters were determined. The immune infiltration, survival, and prognosis differed significantly among the 4 clusters. The tumor purity was higher in clusters 1 and 3 than in clusters 2 and 4, while the immune score and stromal score were lower in clusters 1 and 3. The proportion of B cells memory, plasma cells, and T cells CD4 naïve was the lowest in cluster 4. The model genes KLHL24, HERC6, USP3, TNIP1, and CISH were highly expressed in the high-risk group. AICAr and BMS.754,807 exhibited higher drug sensitivity in the low-risk group, whereas Bleomycin showed higher drug sensitivity in the high-risk group. The nomogram of the risk model demonstrated good efficacy in predicting the survival of MM patients using TCGA and GEO datasets. CONCLUSIONS: The risk model constructed by ubiquitination-related genes can be effectively used to predict the prognosis of MM patients. KLHL24, HERC6, USP3, TNIP1, and CISH genes in MM warrant further investigation as therapeutic targets and to combat drug resistance.

Humans↗