Changes in abdominal subcutaneous adipose tissue thickness associate with disease and anthropometric factors.

ABSTRACT:

Background

Three-dimensional (3D) mesh-derived phenotypes enable detailed characterisation of organ morphology and regional variation through statistical parametric maps (SPMs) and statistical shape analysis (SSA). While these techniques have been widely used for organ studies, their application to abdominal subcutaneous adipose tissue (ASAT) has been limited. This study investigates the associations between ASAT thickness, anthropometric traits, and clinical conditions, including type 2 diabetes (T2D) and hypertension.

Methods

We analysed ASAT using MRI data from 44,515 participants in the UK Biobank who underwent baseline imaging, with a subset of 3088 participants receiving a follow-up scan approximately 2 years later. ASAT thickness was quantified using 3D surface meshes

SUBMITTER: Thanaj M 

PROVIDER: S-EPMC12463666 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature