Table 2_Identification of shared biomarkers in obesity and non-alcoholic fatty liver disea

Two shared biomarkers (NCAPH and IRS2) identified through Mendelian randomization and transcriptomic analysis of obesity and non-alcoholic fatty liver disease (NAFLD). The dataset likely contains results from bioinformatics algorithms like LASSO and SVM-RFE, published by Jian Wang on figshare in 2026. The causal effect of obesity on NAFLD was significant (IVW: P = 0.034, OR = 1.252).

Use Cases

• Validate biomarker expression levels for obesity and NAFLD based on NCAPH and IRS2.
• Build predictive nomograms for disease probability based on the two identified biomarkers.
• Analyze pathway enrichment for shared biomarkers in ECM-receptor interaction and Jak-STAT signaling.
• Study regulatory networks involving lncRNAs NEAT1, MALAT1, and FTX via hsa-miR-493-5p.
• Replicate causal relationship analysis between obesity and NAFLD using Mendelian randomization results.

Strengths

• Identifies two specific biomarkers (NCAPH and IRS2) with validated expression changes.
• Integrates results from multiple analysis methods: Mendelian randomization, differential expression, LASSO, and SVM-RFE.
• Includes validation via qRT-PCR for NCAPH, confirming bioinformatics results.
• Provides specific statistical results for causal effect (IVW: P = 0.034, OR = 1.252).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (9.7 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Analysis of summary statistics from GWAS database and transcriptome data from GEO database.

Freshness

Last updated 2026-04-29 05:58:20; freshness should be verified.