TY - JOUR
T1 - Genetic subtypes of type 2 diabetes are distinguished through the lens of abdominal MRI
AU - Sorokin, Elena P.
AU - Cule, Madeleine
AU - Thanaj, Marjola
AU - Basty, Nicolas
AU - Whitcher, Brandon
AU - Sattar, Naveed
AU - Thomas, E. Louise
AU - Bell, Jimmy D.
AU - Yaghootkar, Hanieh
N1 - Publisher Copyright:
Copyright © 2025 Sorokin, Cule, Thanaj, Basty, Whitcher, Sattar, Thomas, Bell and Yaghootkar.
PY - 2025
Y1 - 2025
N2 - Objective: This study seeks to understand type 2 diabetes (T2D) heterogeneity through detailed phenotypic characterization of various T2D genetic subtypes using advanced magnetic resonance imaging (MRI) techniques. Study design and method: MRI data from over 44,000 UK Biobank participants was used to characterize distinct T2D genetic subtypes based on a compendium of imaging-derived phenotypes (IDPs) quantifying body fat distribution, organ volumes, and muscle quality. Partitioned polygenic risk scores (pPS) representing genetic T2D subtypes were associated with adipose tissue distribution across ten compartments, liver and pancreas volume, three muscle mass indices, and fatty acid composition in subcutaneous and visceral fat. Results: Subtype pPS marked by insulin deficiency were associated with lower subcutaneous fat, while insulin resistance subtypes were associated with higher adiposity with evidence of fat excess in multiple organs, including the pancreas, paraspinal muscle, thigh muscle, iliopsoas muscle, and other organs not routinely quantified at scale in human cohorts. Distinct patterns of muscle mass and fatty acid composition further differentiated subtype pPS, underscoring variation in metabolic profiles linked to specific genetic pathways. Conclusion: The use of non-invasive MRI to phenotype T2D at a granular level has provided unique insights into the disease’s heterogeneity, confirming and expanding upon known genetic associations. These findings highlight the potential of using MRI for pathophysiological insights into T2D.
AB - Objective: This study seeks to understand type 2 diabetes (T2D) heterogeneity through detailed phenotypic characterization of various T2D genetic subtypes using advanced magnetic resonance imaging (MRI) techniques. Study design and method: MRI data from over 44,000 UK Biobank participants was used to characterize distinct T2D genetic subtypes based on a compendium of imaging-derived phenotypes (IDPs) quantifying body fat distribution, organ volumes, and muscle quality. Partitioned polygenic risk scores (pPS) representing genetic T2D subtypes were associated with adipose tissue distribution across ten compartments, liver and pancreas volume, three muscle mass indices, and fatty acid composition in subcutaneous and visceral fat. Results: Subtype pPS marked by insulin deficiency were associated with lower subcutaneous fat, while insulin resistance subtypes were associated with higher adiposity with evidence of fat excess in multiple organs, including the pancreas, paraspinal muscle, thigh muscle, iliopsoas muscle, and other organs not routinely quantified at scale in human cohorts. Distinct patterns of muscle mass and fatty acid composition further differentiated subtype pPS, underscoring variation in metabolic profiles linked to specific genetic pathways. Conclusion: The use of non-invasive MRI to phenotype T2D at a granular level has provided unique insights into the disease’s heterogeneity, confirming and expanding upon known genetic associations. These findings highlight the potential of using MRI for pathophysiological insights into T2D.
KW - ectopic fat
KW - magnetic resonance imaging
KW - polygenic risk score
KW - precision medicine
KW - type 2 diabetes subtypes
UR - https://www.scopus.com/pages/publications/105011934095
U2 - 10.3389/fgene.2025.1605721
DO - 10.3389/fgene.2025.1605721
M3 - Article
C2 - 40741412
AN - SCOPUS:105011934095
SN - 1664-8021
VL - 16
JO - Frontiers in Genetics
JF - Frontiers in Genetics
M1 - 1605721
ER -