Shared Biomarkers NCAPH and IRS2 in Obesity and NAFLD

A 2026 analysis identifies NCAPH and IRS2 as shared biomarkers between obesity and non-alcoholic fatty liver disease (NAFLD). The study combines Mendelian randomization from GWAS data with transcriptomic analysis from GEO to establish causality and biomarker efficacy. Results include nomograms for prediction and a regulatory network involving lncRNAs NEAT1, MALAT1, and FTX.

Use Cases

• Validate causal relationships between obesity and NAFLD using Mendelian randomization results.
• Evaluate biomarker performance (NCAPH, IRS2) for disease prediction via constructed nomograms.
• Explore gene regulatory mechanisms through the lncRNA-miRNA-mRNA network described.

Strengths

• Identifies two specific shared biomarkers (NCAPH and IRS2) with supporting qRT-PCR validation.
• Combines two analytical methods (Mendelian randomization and transcriptomic analysis) from established databases (GWAS, GEO).
• Provides predictive nomograms and details a regulatory network involving three lncRNAs.

Limitations

• Dataset scale is limited (9.7 KB XLSX file); row and column counts are unknown.
• Column-level documentation is absent; field semantics must be inferred from the description.
• Freshness should be verified; last updated metadata is from 2026-04-29.

Provenance

Source

figshare

Collection Method

Analysis combining GWAS summary statistics and GEO transcriptome data.

Freshness

Last updated 2026-04-29.