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Yujun Zhang

Publications and source records attributed to Yujun Zhang.

2 recordsLinked to original sources

A Novel Splice Variant in the COL1A1 Gene Leads to Exon 46 Skipping and Osteogenesis Imperfecta.

BACKGROUND: Osteogenesis imperfecta (OI) is a clinical and genetic disorder characterised by bone fragility, growth deficiency and skeletal deformity. Ninety per cent of OI cases are attributable to autosomal dominant variants in the COL1A1 and COL1A2 genes. METHODS: Candidate variants were identified and verified through trio whole-exome sequencing (trio-WES), copy number variation sequencing (CNV-seq) and Sanger sequencing. Minigene splicing assays were performed in HeLa and HEK293T cells with pcDNA3.1 and pcMINI-C vectors to investigate the function of the candidate variants. A systematic review of COL1A1 splicing variants and the corresponding genotype-phenotype spectrum was performed. RESULTS: Trio-WES revealed a novel heterozygous variant in the C-terminal region of the COL1A1 gene: NM_000088.4:c.3423+5G>A. Sanger sequencing confirmed the variant in both the proband (II-2) and her foetus (III-1) who were clinically suspected of having OI. The c.3423+5G>A variant causes complete skipping of Exon 46, as demonstrated by a minigene splicing assay. We retrieved 419 COL1A1 splicing variants from PubMed, excluded 15 without phenotypic data and 2 linked to Ehlers-Danlos syndrome and stratified the remaining 402 variants into three types on the basis of splice site location: (1) Variants at canonical splicing sites (77.8%, 313/402) mostly cause mild phenotypes, whereas a minority may be severe. (2) Intron variants in other locations, such as splice region variants (17.9%, 72/402), usually cause mild clinical phenotypes, and deep intronic splice variants (0.4%, 2/402) that may result in severe phenotypes. (3) Other variants (3.7%, 15/402), such as exon variants or fragment loss, are extremely rare. We also preliminarily discuss the mechanisms underlying phenotypic variability and the characteristics of C-terminal variants. CONCLUSIONS: This intron variant in COL1A1 was classified as likely pathogenic and was confirmed to disrupt COL1A1 expression. The summary analysis results also revealed a correlation among splicing variants, C-terminal region variants and disease, suggesting that variant location provides a useful framework for prognosis prediction.

Female

Exploring the Genetic Link between Irritable Bowel Syndrome and Polycystic Ovary Syndrome: Bidirectional Mendelian Randomization and Machine Learning Approaches.

BACKGROUND: Research has shown a certain correlation between polycystic ovary syndrome (PCOS) and irritable bowel syndrome (IBS). The study aims to determine the directionality and underlying biological processes influencing the relationship between these two disorders. METHODS: We explored the causal relationship between IBS and PCOS by conducting a comprehensive bidirectional Mendelian randomization (MR) analysis using five different methods and conducted robustness assessments. We extracted differentially expressed genes from the IBS and PCOS datasets for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Additionally, we developed a protein-protein interaction (PPI) network and applied the Least Absolute Shrinkage and Selection Operator (LASSO) and Support Vector Machine (SVM) methodologies to pinpoint key diagnostic markers. Diagnostic efficacy was further assessed through Receiver Operating Characteristic (ROC) curve analysis for selected genes. Finally, single-sample gene set enrichment analysis (ssGSEA) was carried out to examine immune cell infiltration in IBS and PCOS. RESULTS: MR analysis identified a causal effect of PCOS on IBS (IVW, OR = 1.034, 95% CI: 1.003-1.065, P = 0.029). Conversely, no relationship between IBS and PCOS was observed in the reverse analysis. Furthermore, integrative bioinformatics and machine learning analyses identified CD14 and CASP1 as key diagnostic biomarkers for both IBS and PCOS, which were significantly associated with immune cell infiltration. CONCLUSION: MR analysis has demonstrated a significant positive causal relationship between PCOS and IBS, though the reverse causality from IBS to PCOS appeared non-significant. The genes CD14 and CASP1 emerged as potential shared diagnostic markers between these two conditions.

Polycystic Ovary Syndrome