Hub Genes and Immune Mechanisms in Latent and Active Tuberculosis

Four hub genes—C1QB, MSR1, OLIG3, and TGFB1I1—were identified as shared by latent and active tuberculosis infection. The dataset contains 180 common differentially expressed genes analyzed via PPI network and LASSO regression, resulting in a clinical risk prediction nomogram. Author Xingzhen Yang published this research data on figshare in 2026.

Use Cases

• Validate tuberculosis risk prediction models based on the four identified hub genes (C1QB, MSR1, OLIG3, TGFB1I1).
• Analyze shared immune activation patterns between latent and active TB using the 180 common differentially expressed genes.
• Perform gene set variation analysis (GSVA) based on the described multi-pathway coordinated immune activation pattern.
• Evaluate the clinical net benefit of a diagnostic nomogram across a broad range of threshold probabilities as described.

Strengths

• Identifies four specific hub genes (C1QB, MSR1, OLIG3, TGFB1I1) with potential clinical application value.
• Analyzes 180 common differentially expressed genes shared by two disease states.
• Includes results from multiple analytical methods: PPI network construction, LASSO regression, ROC curve, and decision curve analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (129.1 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Bioinformatics analysis of gene expression data, including differential expression, PPI network construction, and LASSO regression.

Freshness

Last updated 2026-05-20 10:42:45; freshness should be verified.