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BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases

BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases

Authors :
Saaket Agrawal
Marcus D. R. Klarqvist
Nathaniel Diamant
Takara L. Stanley
Patrick T. Ellinor
Nehal N. Mehta
Anthony Philippakis
Kenney Ng
Melina Claussnitzer
Steven K. Grinspoon
Puneet Batra
Amit V. Khera
Source :
Nature Communications. 14
Publication Year :
2023
Publisher :
Springer Science and Business Media LLC, 2023.

Abstract

For any given body mass index (BMI), individuals vary substantially in fat distribution, and this variation may have important implications for cardiometabolic risk. Here, we study disease associations with BMI-independent variation in visceral (VAT), abdominal subcutaneous (ASAT), and gluteofemoral (GFAT) fat depots in 40,032 individuals of the UK Biobank with body MRI. We apply deep learning models based on two-dimensional body MRI projections to enable near-perfect estimation of fat depot volumes (R2 in heldout dataset = 0.978-0.991 for VAT, ASAT, and GFAT). Next, we derive BMI-adjusted metrics for each fat depot (e.g. VAT adjusted for BMI, VATadjBMI) to quantify local adiposity burden. VATadjBMI is associated with increased risk of type 2 diabetes and coronary artery disease, ASATadjBMI is largely neutral, and GFATadjBMI is associated with reduced risk. These results – describing three metabolically distinct fat depots at scale – clarify the cardiometabolic impact of BMI-independent differences in body fat distribution.

Details

ISSN :
20411723
Volume :
14
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi...........41060a1a47e4d544c37efc7fa27af418
Full Text :
https://doi.org/10.1038/s41467-022-35704-5