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The subcutaneous adipose transcriptome identifies a molecular signature of insulin resistance shared with visceral adipose.
- Source :
-
Obesity (Silver Spring, Md.) [Obesity (Silver Spring)] 2024 Aug; Vol. 32 (8), pp. 1526-1540. Date of Electronic Publication: 2024 Jul 05. - Publication Year :
- 2024
-
Abstract
- Objective: The objective of this study was to identify the transcriptional landscape of insulin resistance (IR) in subcutaneous adipose tissue (SAT) in humans across the spectrum of obesity.<br />Methods: We used SAT RNA sequencing in 220 individuals with metabolic phenotyping.<br />Results: We identified a 35-gene signature with high predictive accuracy for homeostatic model of IR that was expressed across a variety of non-immune cell populations. We observed primarily "protective" IR associations for adipocyte transcripts and "deleterious" associations for macrophage transcripts, as well as a high concordance between SAT and visceral adipose tissue (VAT). Multiple SAT genes exhibited dynamic expression 5 years after weight loss surgery and with insulin stimulation. Using available expression quantitative trait loci in SAT and/or VAT, we demonstrated similar genetic effect sizes of SAT and VAT on type 2 diabetes and BMI.<br />Conclusions: SAT is conventionally viewed as a metabolic buffer for lipid deposition during positive energy balance, whereas VAT is viewed as a dominant contributor to and prime mediator of IR and cardiometabolic disease risk. Our results implicate a dynamic transcriptional architecture of IR that resides in both immune and non-immune populations in SAT and is shared with VAT, nuancing the current VAT-centric concept of IR in humans.<br /> (© 2024 The Authors. Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society.)
- Subjects :
- Humans
Male
Female
Middle Aged
Adult
Diabetes Mellitus, Type 2 metabolism
Diabetes Mellitus, Type 2 genetics
Body Mass Index
Adipocytes metabolism
Quantitative Trait Loci
Insulin Resistance
Intra-Abdominal Fat metabolism
Subcutaneous Fat metabolism
Transcriptome
Obesity genetics
Obesity metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1930-739X
- Volume :
- 32
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Obesity (Silver Spring, Md.)
- Publication Type :
- Academic Journal
- Accession number :
- 38967296
- Full Text :
- https://doi.org/10.1002/oby.24064