Selection of Common Genes Associated with Rheumatoid Arthritis and Cardiovascular Disease via a Network- and Pathway-Based Approach

基于网络和通路的方法筛选与类风湿性关节炎和心血管疾病相关的共同基因

阅读:1

Abstract

BACKGROUND: Patients with rheumatoid arthritis (RA) have an increased risk of developing cardiovascular disease (CVD). However, the mechanisms underlying the comorbidity between RA and CVD remain poorly understood. This study aimed to identify the shared genes between RA and CVD and to explore their functional relationships. METHODS: Rheumatoid arthritis- and CVD-associated genes were obtained from the DisGeNET and Malacards databases, respectively. Shared genes between the 2 diseases were identified, and gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed using WebGestalt and Cytoscape (v3.9.0). To further investigate potential molecular interactions, protein-protein interaction networks were constructed based on data from the STRING database. Finally, the in silico Tabula Muris single-cell transcriptomic dataset was used to assess the tissue-specific expression of candidate genes and evaluate their potential roles in specific tissues and cell types. RESULTS: A total of 108 genes were shared between RA and CVD, out of the 898 and 552 genes identified for each condition. Functional enrichment analysis showed that these shared genes were predominantly associated with inflammation and immune response-related pathways. Among them, 42 candidate genes were identified, of which 7 (i.e., IFNG, CCL5, CXCL10, FN1, EGFR, CXCL1, and CD44) were highlighted based on their strong connectivity and biological relevance. For validation, the validation, Tabula Muris single-cell transcriptomic dataset revealed that these genes were highly expressed in mouse cardiac tissues. CONCLUSION: Seven shared genes associated with both RA and CVD were identified, which may contribute to the comorbidity between the 2 diseases.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。