Huang Fei, Chen Zongning, Tan Binjie, He Rong, Zhang Xiaoyu, Chen Yali, Gao Jinsong, Sun Bo
Medical School, People's Hospital of Lijiang, Kunming University of Science and Technology, Kunming, China.
Medical School, Kunming University of Science and Technology, Kunming, China.
Sci Rep. 2025 Mar 11;15(1):8436. doi: 10.1038/s41598-025-92757-4.
Acute myocardial infarction (AMI) is a major contributor to cardiovascular-related mortality, and early diagnosis is crucial for effective treatment and better outcomes. While several biomarkers have been explored for AMI, there remains a need for reliable, non-invasive biomarkers that can accurately differentiate AMI patients from healthy individuals. This study aims to identify potential mRNA biomarkers in peripheral blood that could aid in the diagnosis and monitoring of AMI. We performed transcriptomic analysis of blood samples from 81 individuals, including 16 healthy controls, 58 AMI patients, and 7 post-treated AMI individuals. Through a combination of Sparse Partial Least Squares-Discriminant Analysis (sPLS-DA), random forest (RF), Weighted Gene Co-expression Network Analysis (WGCNA), and LASSO regression, we identified mRNA markers that are significantly correlated with AMI. Specifically, the mRNA expressions of ANKRD52, ART1, NRP2, and PPP1R15A were elevated in AMI patients, whereas BAIAP2L1 and CCNE1 were downregulated. However, while these mRNA biomarkers show potential for distinguishing AMI patients from healthy individuals, further studies are needed to confirm their clinical applicability.
急性心肌梗死（AMI）是心血管相关死亡的主要原因，早期诊断对于有效治疗和改善预后至关重要。虽然已经探索了几种用于AMI的生物标志物，但仍需要可靠的、非侵入性的生物标志物，能够准确地区分AMI患者和健康个体。本研究旨在识别外周血中可能有助于AMI诊断和监测的潜在mRNA生物标志物。我们对81名个体的血液样本进行了转录组分析，包括16名健康对照、58名AMI患者和7名AMI治疗后个体。通过结合稀疏偏最小二乘判别分析（sPLS-DA）、随机森林（RF）、加权基因共表达网络分析（WGCNA）和套索回归，我们确定了与AMI显著相关的mRNA标志物。具体而言，ANKRD52、ART1、NRP2和PPP1R15A的mRNA表达在AMI患者中升高，而BAIAP2L1和CCNE1则下调。然而，虽然这些mRNA生物标志物显示出区分AMI患者和健康个体的潜力，但仍需要进一步研究以确认其临床适用性。
