法医学杂志

法医学杂志 ›› 2026, Vol. 42 ›› Issue (4): 302-309.DOI: 10.12116/j.issn.1004-5619.2025.450910

• 论著 • 上一篇    下一篇

基于生物信息学技术筛选并鉴定小鼠急性心肌缺血生物标志物

牛晶晶(), 涂春艳, 张恒(), 吴正升()   

  1. 安徽医科大学基础医学院，安徽 合肥 230032
  • 收稿日期:2025-09-23 发布日期:2026-10-28 出版日期:2026-08-25
  • 通讯作者: 张恒,吴正升
  • 作者简介:牛晶晶（1986—），女，硕士，主检法医师，主要从事法医病理学和法医临床学研究；E-mail：285501582@qq.com
  • 基金资助:
    安徽省高校自然科学基金资助项目(2024AH050700)

Screening and Identification of Biomarkers for Acute Myocardial Ischemia in Mice Based on Bioinformatics

Jingjing Niu(), Chunyan Tu, Heng Zhang(), Zhengsheng Wu()   

  1. School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
  • Received:2025-09-23 Online:2026-10-28 Published:2026-08-25
  • Contact: Heng Zhang, Zhengsheng Wu

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摘要：

目的 利用生物信息学技术筛选急性心肌缺血（acute myocardial ischemia，AMI）生物标志物。 方法 利用基因表达综合（Gene Expression Omnibus，GEO）数据库，获取心肌缺血相关的数据集（GSE415、GSE775、GSE4648、GSE19875、GSE8322），分为AMI数据集（20个对照样本和5个AMI样本）和心肌缺血数据集（16个对照样本和18个心肌缺血样本）。使用加权基因共表达网络分析（weighted gene co-expression network analysis，WGCNA）、最小绝对收缩和选择算子（least absolute shrinkage and selection operator，LASSO）回归及受试者操作特征（receiver operating characteristic，ROC）曲线，筛选出潜在的生物标志物。建立小鼠心肌缺血模型（心肌缺血15 min和心肌缺血60 min），通过实时荧光定量PCR技术验证潜在生物标志物是否可以作为辅助推断AMI的生物标志物。 结果 鉴定AMI最精准的指标是核因子κB抑制蛋白α（inhibitor of nuclear factor-κB alpha，IκBα；AUC=0.91）；鉴定心肌缺血较为精准的指标是B细胞易位基因2（B cell translocation gene 2，BTG2；AUC=0.78）和囊泡转运蛋白USE1（AUC=0.77）。验证结果显示，IκBα在对照组、心肌缺血组和AMI组的表达量差异均有统计学意义（P<0.05）；BTG2在心肌缺血组的表达量最高（P<0.05）；USE1在3个组别中差异均无统计学意义（P>0.05）。 结论 IκBα可用于鉴定AMI和心肌缺血，BTG2可以作为辅助诊断心肌缺血的生物学指标。

关键词: 法医病理学, 生物信息学, 急性心肌缺血, 生物标志物, 核因子κB抑制蛋白α, B细胞易位基因2, 小鼠

Abstract:

Objective To screen biomarkers of acute myocardial ischemia （AMI） using bioinformatics approaches. Methods Datasets related to myocardial ischemia, including GSE415, GSE775, GSE4648, GSE19875 and GSE8322, were downloaded from the Gene Expression Omnibus （GEO） database. The data were divided into an AMI dataset （20 control samples and 5 experimental samples） and the myocardial ischemia dataset （16 control samples and 18 experimental samples）. Weighted gene co-expression network analysis （WGCNA）, least absolute shrinkage and selection operator （LASSO） regression, and receiver operating characteristic （ROC） curve analysis were applied to identify potential biomarkers. A mouse myocardial ischemia model, with myocardial ischemia induced for 15 min and 60 min, was established, and real-time quantitative PCR （qPCR） was utilized to verify whether the potential biomarkers could assist in the identification of AMI. Results The most accurate indicator for identifying AMI was inhibitor of nuclear factor-κB alpha （IκBα, AUC=0.91）. The accurate indicators for identifying myocardial ischemia were B cell translocation gene 2 （BTG2, AUC=0.78） and vesicle transport protein USE1 （AUC=0.77）. The validation results revealed that the expression levels of IκBα differed significantly among the control, myocardial ischemia and AMI groups （P<0.05）. BTG2 expression was the highest in the myocardial ischemia group （P<0.05）, whereas no statistically significant difference in USE1 expression was observed across the three groups （P>0.05）. Conclusion IκBα can distinguish AMI and myocardial ischemia groups, and BTG2 serves as an auxiliary biomarker for the diagnosis of myocardial ischemia.

Key words: forensic pathology, bioinformatics, acute myocardial ischemia, biomarker, inhibitor of nuclear factor-κB alpha （IκBα）, B cell translocation gene 2 （BTG2）, mice

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