Immunophenotyping identifies key immune biomarkers for coronary artery disease through machine learning

Immunophenotyping revealed an association between CAD and PD-L1. AKT1 and PTK2B were identified as key disease signature genes, which may hold clinical significance for the diagnosis, prognostic assessment and treatment of CAD.

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Publication Details

Journal
PLoS ONE
Published
2025-08-26
DOI
https://doi.org/10.1371/journal.pone.0328811
Primary Topic
Atherosclerosis and Cardiovascular Diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

Immunophenotyping identifies key immune biomarkers for coronary artery disease through machine learning

Shue Huang, Xinlang Zhou, Wei Zhao, Minghao Jiang et al.
PLoS ONE
Atherosclerosis and Cardiovascular Diseases
article

Immunophenotyping identifies key immune biomarkers for coronary artery disease through machine learning

Shue Huang, Xinlang Zhou, Wei Zhao, Minghao Jiang, Ying Liu, Lina Chen, Lelin Jiang, Yiying Liu, Wenbing Jiang
article en

Abstract

Immunophenotyping revealed an association between CAD and PD-L1. AKT1 and PTK2B were identified as key disease signature genes, which may hold clinical significance for the diagnosis, prognostic assessment and treatment of CAD.

PLoS ONEVol. 20(8)
Shaoxing University (CN), Wenzhou Medical University (CN), Wenzhou Hospital of Traditional Chinese Medicine (CN), Wenzhou Central Hospital (CN), Shaoxing People's Hospital (CN)
Openalex Percentile: Top 76%
Atherosclerosis and Cardiovascular Diseases
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Immunophenotyping identifies key immune biomarkers for coronary artery disease through machine learning — Shue Huang, Xinlang Zhou, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS