What question did this study set out to answer?

To identify hub genes with diagnostic potential and characterize immune microenvironment remodeling in atherosclerosis.

July 23, 2026GenesOpen Access

Integrated Bioinformatics and Machine Learning Analysis Identifies Inflammation-Related Biomarkers and Immune Infiltration Patterns in Atherosclerosis

Q: What is the clinical evidence from this study?

Study design: Other. Population: Atherosclerosis (n=216). Intervention: 7-gene diagnostic signature. Primary outcome: Diagnostic performance of the 7-gene logistic model in the training cohort (AUC 0.992, 95% CI 0.981-1.000).

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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 ZhangAustralian National University LYLiu YWannan Medical College

Discussion

Member takes

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

Population

216 samples from five GEO datasets analyzed to identify and validate a 7-gene diagnostic signature for atherosclerosis.

Exposure / Comparator

7-gene diagnostic signature

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/6a61b02ffaa9903c5116addb https://doi.org/10.3390/genes17070830

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July 23, 2026GenesOpen Access

Integrated Bioinformatics and Machine Learning Analysis Identifies Inflammation-Related Biomarkers and Immune Infiltration Patterns in Atherosclerosis

View Full Paper

Ask AI

Bookmark

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 ZhangAustralian National University LYLiu YWannan Medical College

Discussion

Member takes

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

Population

216 samples from five GEO datasets analyzed to identify and validate a 7-gene diagnostic signature for atherosclerosis.

Exposure / Comparator

7-gene diagnostic signature

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

synapsesocial.com/papers/6a61b02ffaa9903c5116addb https://doi.org/10.3390/genes17070830

Also Consider

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