Differential gene expression profiles in peripheral blood in Northeast Chinese Han people with acute myocardial infarction

Abstract This study aimed to use gene chips to investigate differential gene expression profiles in the occurrence and development of acute myocardial infarction (AMI). The study included 12 AMI patients and 12 healthy individuals. Total mRNA of peripheral bloodwas extracted and reversed-transcribed to cDNA for microarray analysis. After establishing two pools with three subjects each (3 AMI patients and 3 healthy individuals), the remaining samples were used for RT-qPCR to confirm the microarray data. From the microarray results, seven genes were randomly selected for RT-qPCR. RT-qPCR results were analyzed by the 2-ΔΔCt method. Microarray analysis showed that 228 genes were up- regulated and 271 were down-regulated (p ≤ 0.05, |logFC| > 1). Gene ontology showed that these genes belong to 128 cellular components, 521 biological processes, and 151 molecular functions. KEGG pathway analysis showed that these genes are involved in 107 gene pathways. RT-qPCR results for the seven genes showed expression levels consistent with those obtained by microarray. Thus, microarray data could be used to select the pathogenic genes for AMI. Investigating the abnormal expression of these differentially expressed genes might suggest efficient strategies for the prevention, diagnosis, and treatment of AMI.

摘要 本研究旨在利用基因芯片（gene chips）探究急性心肌梗死（acute myocardial infarction, AMI）发生发展过程中的差异基因表达谱。本研究纳入12名AMI患者与12名健康受试者。提取外周血总mRNA并反转录为互补DNA（cDNA），以开展基因芯片分析。将样本分为两个混合池，每个混合池各包含3名受试者（3名AMI患者与3名健康对照者），剩余样本则采用实时定量反转录聚合酶链反应（RT-qPCR）对芯片分析结果进行验证。从芯片分析结果中随机选取7个基因进行RT-qPCR验证。采用2^(-ΔΔCt)法对RT-qPCR结果进行统计分析。芯片分析结果显示，共有228个基因呈上调表达，271个基因呈下调表达（p ≤ 0.05，|logFC| > 1）。基因本体（Gene Ontology, GO）富集分析显示，上述基因涉及128种细胞组分、521种生物过程及151种分子功能。京都基因与基因组百科全书（Kyoto Encyclopedia of Genes and Genomes, KEGG）通路分析显示，这些基因参与了107条信号通路。7个基因的RT-qPCR验证结果与芯片分析所得的表达水平一致。由此可见，基因芯片分析数据可用于筛选AMI致病相关基因。对这些差异表达基因的异常表达模式进行研究，可为急性心肌梗死的预防、诊断及治疗提供高效可行的策略。