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November 14, 2025MedicineOpen Access

Identification of immune-relevant candidate genes in atherosclerosis by WGCNA and single-cell analysis

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Authors

YCYang CaoYWYing WeiRXRong Xue

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Overview

Analysis identifies key biomarkers for atherosclerosis, suggesting new methods for early diagnosis and treatment.

Key Points

  • The research aims to identify immune-relevant candidate genes and biomarkers in atherosclerosis.
  • Analyzed datasets of atherosclerotic plaques and normal arterial tissues using gene expression.
  • Employed CIBERSORT for immune cell analysis and WGCNA for gene co-expression.
  • Constructed diagnostic models using random forest and generalized linear models.
  • Identified key biomarkers associated with atherosclerosis, including SYK and IL10RA.
  • Developed a nomogram to assess disease risk and evaluated its predictive validity.

Cite This Study

Cao et al. (2025) studied this question.

synapsesocial.com/papers/69251999c0ce034ddc3539e7https://doi.org/10.1097/md.0000000000045871
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