Screening for Regulatory Network of miRNA–Inflammation, Oxidative Stress and Prognosis-Related mRNA in Acute Myocardial Infarction: An in silico and Validation Study

Abstract

Background Acute myocardial infarction (AMI), which commonly leads to heart failure, is among the leading causes of mortality worldwide. The aim of this study was to find potential regulatory network for miRNA-inflammation, oxidative stress and prognosis-related mRNA to uncover molecular mechanisms of AMI. Methods The expression profiles of miRNA and mRNA in the blood samples from AMI patients were downloaded from the Gene Expression Omnibus (GEO) dataset for differential expression analysis. Weighted gene co-expression network analysis (WGCNA) was used to further identify important mRNAs. The negatively regulatory network construction of miRNA–inflammation, oxidative stress and prognosis-related mRNAs was performed, followed by protein–protein interaction (PPI) and functional analysis of mRNAs. Results A total of three pairs of negatively regulatory network of miRNA–inflammation and prognosis-related mRNAs (hsa-miR-636/hsa-miR-491-3p/hsa-miR-188-5p/hsa-miR-188-3p-AQP9, hsa-miR-518a-3p-C5AR1 and hsa-miR-509-3-5p/hsa-miR-127-5p-PLAUR), two pairs of negatively regulatory network of miRNA–oxidative stress and prognosis-related mRNAs (hsa-miR-604-TLR4 and hsa-miR-139-5p-CXCL1) and three pairs of negatively regulatory network of miRNA-inflammation, oxidative stress and prognosis-related mRNA (hsa-miR-634/hsa-miR-591-TLR2, hsa-miR-938-NFKBIA and hsa-miR-520h/hsa-miR-450b-3p-ADM) were identified. In the KEGG analysis, some signaling pathways were identified, such as complement and coagulation cascades, pathogenic Escherichia coli infection, chemokine signaling pathway and cytokine–cytokine receptor interaction and Toll-like receptor signaling pathway. Conclusion Identified negatively regulatory network of miRNA-inflammation/oxidative stress and prognosis-related mRNA may be involved in the process of AMI. Those inflammation/oxidative stress and prognosis-related mRNAs may be diagnostic and prognostic biomarkers for AMI.

Integration of RNA molecules data with prior-knowledge driven Joint Deep Semi-Negative Matrix Factorization for heart failure study

“…These pathways are closely related to HF. Studies have shown that Complement and coagulation cascades are involved in the post-MI response ( Yin et al, 2022 ). Many studies have found that Cytokine-cytokine receptor interaction plays an essential role in the occurrence and development of acute myocardial infarction and HF ().…”

Identification of oxidative stress-related genes and potential mechanisms in atherosclerosis

“…Coronary heart disease is estimated to affect 126 million people (1,655 per 100,000), accounting for approximately 1.72% of the global population ( Khan et al, 2020 ). Mounting evidence links oxidative stress to the pathophysiology of AS, which is a chronic inflammatory disease characterized by lipid accumulation and swelling of the walls of medium and large arteries ( Elahi et al, 2009 ; Yuan et al, 2019 ; Yin et al, 2022 ). However, the biological mechanisms underlying AS with oxidative stress remain unclear.…”

“…Currently, studies on oxidative stress and AS focus on two topics; the first is the role of oxidative stress in the pathological process of AS, analyzing how oxidative stress is involved in AS ( Yin et al, 2022 ) and the second is whether oxidative stress can be effectively targeted as a treatment for AS, specifically to slow down its progression, through clinical trials ( Smolyaninov et al, 2022 ; Xu et al, 2022 ; Zhao et al, 2022 ). The purpose of this study was to examine the association between oxidative stress-related genes and AS at the gene level, as well as to construct a diagnostic model and to investigate its immune microenvironment.…”

Identification of Biomarkers for Acute Myocardial Infarction based on Cell Senescence Genes and Machine Learning

“…Furthermore, our GSEA results provide evidence of the engagement of these genes in biological pathways of autophagy, complement, and coagulation cascades. These pathways are relevant during the entire span of the in ammatory response to myocardial infarction, suggesting that these 7 biomarkers may exert their effects through these mechanisms [31]. As such, additional exploration of their potential as therapeutic targets for STEMI is merited.…”