Table 1_Identification of shared biomarkers in obesity and non-alcoholic fatty liver disea

A figshare dataset by Jian Wang, last updated in April 2026, presents results from a study exploring causal links between obesity and non-alcoholic fatty liver disease (NAFLD). The analysis combines Mendelian randomization (MR) and transcriptomic data to identify two shared biomarkers, NCAPH and IRS2, and includes validation via qRT-PCR.

Use Cases

• Validate causal relationships between obesity and NAFLD based on Mendelian randomization results.
• Build predictive models for disease probability using biomarker-based nomograms described in the study.
• Investigate molecular pathways like ECM-receptor interaction and Jak-STAT signaling based on enrichment analysis results.
• Analyze regulatory networks involving lncRNAs NEAT1, MALAT1, and FTX based on the constructed lncRNA-miRNA-mRNA network.

Strengths

• The dataset includes results from bidirectional Mendelian randomization analysis with specific odds ratios (OR = 1.252).
• Two validated biomarkers (NCAPH and IRS2) are identified with reported expression changes (up/down-regulated).
• The dataset is licensed under CC-BY-4.0, facilitating open reuse.

Limitations

• The dataset is 17.7 KB, suggesting a very limited scope likely containing summary results rather than raw data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analysis.

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-04-29 05:58:17; freshness should be verified.