ArticleBioscience reports2023
Identification of biomarkers and immune infiltration in acute myocardial infarction and heart failure by integrated analysis.
Article in Bioscience reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 16 citations in OpenAlex.
- Machine learning-derived identification of an obesity and lipid metabolism-related genes signature for the diagnosis and molecular typing of acute myocardial infarction.Frontiers in cardiovascular medicine · 2026Article
- Immune Mechanisms in Myocardial Remodeling Following Myocardial Infarction: Focusing on Regulatory Networks of T Cell Responses.Journal of inflammation research · 2026Review
- Impact of sacubitril/valsartan on cardiac structure and function in post-acute myocardial infarction heart failure patients aged over 65: a single-center experience.American journal of translational research · 2026Article
- Immune Cell Dynamics in Cardiac Diseases: Insights From Single-Cell Sequencing.Journal of cellular and molecular medicine · 2025Review
- Single-cell RNA sequencing reveals the potential role of Postn(+) fibroblasts in promoting the progression of myocardial fibrosis after myocardial infarction.Scientific reports · 2025Article
- Diagnostic biomarkers and immune infiltration profiles common to COVID-19, acute myocardial infarction and acute ischaemic stroke using bioinformatics methods and machine learning.BMC neurology · 2025Article
- Screening of biomarkers for diagnosing chronic kidney disease and heart failure with preserved ejection fraction through bioinformatics analysis.Biochemistry and biophysics reports · 2025Article
- Identification of Necroptosis and Immune Infiltration in Heart Failure Through Bioinformatics Analysis.Journal of inflammation research · 2025Article
- Bibliometric study and visualization of myocardial infarction combined with heart failure, 1993-2023.Frontiers in cardiovascular medicine · 2025Article
- Comprehensive analysis of aging-related genes and immune infiltration landscape in ischemic cardiomyopathy.Frontiers in cardiovascular medicine · 2025Article
- Article
- Differential gene expression patterns in ST-elevation Myocardial Infarction and Non-ST-elevation Myocardial Infarction.Scientific reports · 2024Article
- S100A9 as a Key Myocardial Injury Factor Interacting with ATP5 Exacerbates Mitochondrial Dysfunction and Oxidative Stress in Sepsis-Induced Cardiomyopathy.Journal of inflammation research · 2024Article
- From multi-omics approaches to personalized medicine in myocardial infarction.Frontiers in cardiovascular medicine · 2023Review
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The mortality of heart failure after acute myocardial infarction (AMI) remains high. The aim of the present study was to analyze hub genes and immune infiltration in patients with AMI and heart failure (HF). The study utilized five publicly available gene expression datasets from peripheral blood in patients with AMI who either developed or did not develop HF. The unbiased patterns of 24 immune cell were estimated by xCell algorithm. Single-cell RNA sequencing data were used to examine the immune cell infiltration in heart failure patients. Hub genes were validated by quantitative reverse transcription-PCR (RT-qPCR). In comparison with the coronary heart disease (CHD) group, immune infiltration analysis of AMI patients showed that macrophages M1, macrophages, monocytes, natural killer (NK) cells, and NKT cells were the five most highly activated cell types. Five common immune-related genes (S100A12, AQP9, CSF3R, S100A9, and CD14) were identified as hub genes associated with AMI. Using RT-qPCR, we confirmed FOS, DUSP1, CXCL8, and NFKBIA as the potential biomarkers to identify AMI patients at risk of HF. The study identified several transcripts that differentiate between AMI and CHD, and between HF and non-HF patients. These findings could improve our understanding of the immune response in AMI and HF, and allow for early identification of AMI patients at risk of HF.
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