An Exploratory Study of High-throughput Transcriptomic Analysis Reveals Novel MRNA Biomarkers for Acute Myocardial Infarction Using Integrated Methods

Overview

Journal Sci Rep

Specialty Science

Date 2025 Mar 12

PMID 40069305

Authors

Fei Huang

Zongning Chen

Binjie Tan

Rong He

Xiaoyu Zhang

Yali Chen

Jinsong Gao

Bo Sun

Affiliations

Soon will be listed here.

Abstract

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.

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