Decoding visceral adipose tissue molecular signatures in obesity and insulin resistance: a multi‐omics approach
Authors' conclusion
Our multi-omics integration method revealed hub genes, TFs, and miRNAs that can be potential targets for investigation in VAT-related inflammatory processes and IR, therapeutic management, and risk stratifications.
Study context
- Population
- Visceral adipose tissue (VAT) samples from the Gene Expression Omnibus (GEO)
- Participants
- 34 / 26 / 15 / 15
- Comparison
- Obesity vs no obesity; obesity with insulin resistance (IR) vs obesity without IR
- Obesityn = 34
- Without obesityn = 26reference
- Obesity and IRn = 15
- Obesity without IRn = 15reference
- Outcome
- VAT molecular signatures
Methodological detailsmulti-omics, secondary analysis of GEO data
- Multi-omics
- Secondary analysis of GEO data
Main finding
As reported in the abstract
Hub genes (STAT1, KLF4, DUSP1, EGR1, FOS, JUN, IL2, IL6, MMP9, FGF9)
10
Transcription factors (TFs)
24
Targeting microRNAs (miRNAs) (e.g., hsa-miR-155-5p, hsa-miR-34a-5p) associated with obesity and IR-related pathways
10
Original publication
Decoding visceral adipose tissue molecular signatures in obesity and insulin resistance: a multi‐omics approach. Obesity (Silver Spring). Published 13 October 2024. doi:10.
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