Genes Differentially Expressed Across Major Arteries Are Enriched in Endothelial Dysfunction-Related Gene Sets: Implications for Relative Inter-artery Atherosclerosis Risk.

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS Bioinformatics and Biology Insights Pub Date : 2024-05-16 eCollection Date: 2024-01-01 DOI:10.1177/11779322241251563
Paul A Brown
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Abstract

Atherosclerosis differs across major arteries. Although the biological basis is not fully understood, limited evidence of genetic differences has been documented. This study, therefore, was aimed to identify differentially expressed genes between clinically relevant major arteries and investigate their enrichment in endothelial dysfunction-related gene sets. A bioinformatic analysis of publicly available gene-level read counts for coronary, aortic, and tibial arteries was performed. Differential gene expression was conducted with DeSeq2 at a false discovery rate of 0.05. Differentially expressed genes were then subjected to over-representation analysis and active-subnetwork-oriented enrichment analysis, both at a false discovery rate of 0.005. Enriched terms common to both analyses were categorized for each contrast into immunity/inflammation-, membrane biology-, lipid metabolism-, and coagulation-related terms, and the top differentially expressed genes validated against Swiss Institute of Bioinformatics' Bgee database. There was mostly upregulation of differentially expressed genes for the coronary/tibial and aorta/tibial contrasts, but milder changes for the coronary/aorta contrast. Transcriptomic differences between coronary or aortic versus tibial samples largely involved immunity/inflammation-, membrane biology-, lipid metabolism-, and coagulation-related genes, suggesting potential to modulate endothelial dysfunction and atherosclerosis. These results imply atheroprone coronary and aortic environments compared with tibial artery tissue, which may explain observed relative inter-artery atherosclerosis risk.

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大动脉间差异表达的基因富含内皮功能障碍相关基因组:动脉间动脉粥样硬化相对风险的意义。
不同大动脉的动脉粥样硬化情况各不相同。虽然其生物学基础尚未完全清楚,但遗传差异的证据有限。因此,本研究旨在确定临床相关大动脉之间的差异表达基因,并研究它们在内皮功能障碍相关基因集中的富集情况。研究人员对公开的冠状动脉、主动脉和胫骨动脉的基因水平读数进行了生物信息学分析。在假发现率为 0.05 的条件下,使用 DeSeq2 对差异基因表达进行了分析。然后对差异表达基因进行了过度代表性分析和面向活跃子网的富集分析,误发现率均为 0.005。两种分析共同使用的富集术语被分为免疫/炎症、膜生物学、脂质代谢和凝血相关术语,并根据瑞士生物信息学研究所的 Bgee 数据库验证了差异表达最高的基因。冠状动脉/胫骨和主动脉/胫骨对比的差异表达基因大多上调,而冠状动脉/主动脉对比的变化较小。冠状动脉或主动脉样本与胫骨样本之间的转录组差异主要涉及免疫/炎症、膜生物学、脂质代谢和凝血相关基因,表明这些基因具有调节内皮功能障碍和动脉粥样硬化的潜力。这些结果表明,与胫骨动脉组织相比,冠状动脉和主动脉环境容易发生动脉粥样硬化,这可能是观察到的动脉间相对动脉粥样硬化风险的原因。
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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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