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July 23, 2026GenesOpen Access

A 7-gene diagnostic signature demonstrated excellent performance for identifying atherosclerosis, with a training AUC of 0.992 (95% CI: 0.981-1.000) and validation AUCs ranging from 0.952 to 1.000.

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Key result

A 7-gene diagnostic signature demonstrated excellent performance for identifying atherosclerosis, with a training AUC of 0.992 (95% CI: 0.981-1.000) and validation AUCs ranging from 0.952 to 1.000.

Authors

LZLe ZhangLYLiu Y

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Overview

Randomized trial identifies inflammation-related biomarkers in atherosclerosis, suggesting potential for early diagnosis.

Key Points

  • To identify hub genes with diagnostic potential and characterize immune microenvironment remodeling in atherosclerosis.
  • Integrated analysis of gene expression data from multiple cohorts (training cohort n=168; validation cohorts n=48)
  • Differentially expressed genes identified using limma and further analysis through GO/KEGG enrichment
  • Hub genes identified by LASSO regression and Random Forest; logistic regression diagnostic model evaluated with ROC analysis.
  • A total of 1349 differentially expressed genes identified with 870 upregulated and 479 downregulated.
  • Seven hub genes (IBSP, XAF1, SCAMP5, SAMD9L, MYBL1, PCDH12, CDH19) formed a strong diagnostic signature with an AUC of 0.992 (95% CI: 0.981–1.000) in the training cohort.
  • Strong associations found between hub genes and immune cell infiltration, particularly for SAMD9L and IBSP.

PICO

P
Population
216 samples from five GEO datasets analyzed to identify and validate a 7-gene diagnostic signature for atherosclerosis.
E
Exposure / Comparator
7-gene diagnostic signature
O
Primary Outcome
Diagnostic performance of the 7-gene logistic model in the training cohort — AUC 0.992 (0.981-1.000)

Main Result

Effect estimate: AUC 0.992 (95% CI 0.981-1.000)

Cite This Study

Zhang et al. (2026) studied Atherosclerosis (n=216). 7-gene diagnostic signature was evaluated on Diagnostic performance of the 7-gene logistic model in the training cohort (AUC 0.992, 95% CI 0.981-1.000). A 7-gene diagnostic signature demonstrated excellent performance for identifying atherosclerosis, with a training AUC of 0.992 (95% CI: 0.981-1.000) and validation AUCs ranging from 0.952 to 1.000.

synapsesocial.com/papers/6a61b02ffaa9903c5116addbhttps://doi.org/10.3390/genes17070830
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