ArticleComputational and mathematical methods in medicine2022
Identification and Validation of Immune Markers in Coronary Heart Disease.
Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- A comprehensive review of m6 A methylation in coronary heart disease.Journal of molecular medicine (Berlin, Germany) · 2025Review
- Sexual dimorphism in immunity and longevity among the oldest old.Frontiers in immunology · 2025Review
- Review
- Inflammation and Neurodegeneration in Glaucoma: Isolated Eye Disease or a Part of a Systemic Disorder? - Serum Proteomic Analysis.Journal of inflammation research · 2024Article
- Identification of iron metabolism-related genes in coronary heart disease and construction of a diagnostic model.Frontiers in cardiovascular medicine · 2024Article
- Low body temperature and mortality in critically ill patients with coronary heart disease: a retrospective analysis from MIMIC-IV database.European journal of medical research · 2023Article
- Literature-Based Discovery to Elucidate the Biological Links between Resistant Hypertension and COVID-19.Biology · 2023Article
- Retracted: Identification and Validation of Immune Markers in Coronary Heart Disease.Computational and mathematical methods in medicine · 2023Article
Corrections and comments
- Retraction · 2023-11-29Compromised Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Coronary heart disease (CHD) is an ischemic heart disease involving a variety of immune factors. This study was aimed at investigating unique immune and m6A patterns in patients with CHD by gene expression in peripheral blood mononuclear cells (PBMCs) and at identifying novel immune biomarkers. Methods: The CIBERSORT algorithm and single-sample gene set enrichment analysis (ssGSEA) were applied to assess the population of specific infiltrating immunocytes. Weighted Gene Coexpression Network Analysis (WGCNA) was utilized on immune genes matching CHD. A prediction model based on core immune genes was constructed and verified by a machine learning model. Unsupervised cluster analysis identified various immune patterns in the CHD group according to the abundance of immune cells. Methylation of N6 adenosine- (m6A-) related gene was identified from the literature, and t-distributed stochastic neighbor embedding (t-SNE) analysis was used to determine the rationality of the m6A classification. The association between m6A-related genes and various immune cells was estimated using heat maps. Results: 22/28 immune-associated cells differed between the CHD and normal groups, and a significant difference was detected in the expression of 21 m6A-related genes. The proportion of immune-related cells (activated CD4+ T cells and CD8+ T cells) in the peripheral blood of the CHD group was lower than that of the normal group. The immune genes were divided into four modules, of which the turquoise modules showed a significant association with coronary heart disease. Eight hub immune genes ( Conclusion: In conclusion, we identified different immune and m6A patterns in CHD. Thus, it could be speculated that the immune system plays a crucial role in CHD, and m6A is correlated with immune genes.
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Registered trials
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