Evidence mapPaperPMID 37525634Full record

ArticleJournal of inflammation research2023

Immune Cell Infiltration Analysis Based on Bioinformatics Reveals Novel Biomarkers of Coronary Artery Disease.

Tianwen He, Muheremu Muhetaer, Jiahe Wu, Jingjing Wan, Yushuang Hu, Tong Zhang, Yunxiang Wang, Qiongxin Wang, Huanhuan Cai, Zhibing Lu

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Article in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Tianwen He *Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
Muheremu Muhetaer *Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
Jiahe WuDepartment of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
Jingjing WanDepartment of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
Yushuang HuDepartment of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
Tong ZhangDepartment of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
Yunxiang WangDepartment of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
Qiongxin WangDepartment of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
Huanhuan CaiDepartment of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
Zhibing LuDepartment of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronary artery disease (CAD) is a multifactorial immune disease, but research into the specific immune mechanism is still needed. The present study aimed to identify novel immune-related markers of CAD. Methods: Three CAD-related datasets (GSE12288, GSE98583, GSE113079) were downloaded from the Gene Expression Integrated Database. Gene ontology annotation, Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis and weighted gene co-expression network analysis were performed on the common significantly differentially expressed genes (DEGs) of these three data sets, and the most relevant module genes for CAD obtained. The immune cell infiltration of module genes was evaluated with the CIBERSORT algorithm, and characteristic genes accompanied by their diagnostic effectiveness were screened by the machine-learning algorithm least absolute shrinkage and selection operator (LASSO) regression analysis. The expression levels of characteristic genes were evaluated in the peripheral blood mononuclear cells of CAD patients and healthy controls for verification. Results: A total of 204 upregulated and 339 downregulated DEGs were identified, which were mainly enriched in the following pathways: "Apoptosis", "Th17 cell differentiation", "Th1 and Th2 cell differentiation", "Glycerolipid metabolism", and "Fat digestion and absorption". Five characteristic genes, LMAN1L, DOK4, CHFR, CEL and CCDC28A, were identified by LASSO analysis, and the results of the immune cell infiltration analysis indicated that the proportion of immune infiltrating cells (activated CD8 T cells and CD56 DIM natural killer cells) in the CAD group was lower than that in the control group. The expressions of CHFR, CEL and CCDC28A in the peripheral blood of the healthy controls and CAD patients were significantly different. Conclusion: We identified CHFR, CEL and CCDC28A as potential biomarkers related to immune infiltration in CAD based on public data sets and clinical samples. This finding will contribute to providing a potential target for early noninvasive diagnosis and immunotherapy of CAD.

Indexed as

biomarkersCADcoronary artery diseaseimmune infiltrationinflammationmachine learning

Identifiers

PMID37525634
PMCPMC10387251

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.