| Title: | Association of Body Fat Distribution Patterns at MRI with Brain Structure, Cognition, and Neurologic Diseases. |
| Journal: | Radiology |
| Published: | 1 Jan 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41591246/ |
| DOI: | https://doi.org/10.1148/radiol.252610 |
Publication 18752
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Background Although substantial evidence has demonstrated the impact of obesity on brain structure and cognition, the heterogeneity of adiposity-particularly in terms of fat distribution patterns-and its differential neurologic effects remain poorly understood. Purpose To identify body fat distribution patterns with MRI and latent profile analysis (LPA) and their associations with brain structure measurements, cognition, and neurologic diseases. Materials and Methods This secondary analysis used prospective data from the UK Biobank, including health records and MRI scans of the brain, heart, and abdomen. Fat distribution profiles were classified using LPA based on eight body mass index (BMI)-adjusted MRI-derived fat quantification metrics. Differences in brain volume, white matter properties, cognition, and the risk of neurologic disorders were analyzed across profiles and relative to a benchmark lean profile; analyses were stratified by sex. Group differences were examined using analysis of covariance (ANCOVA) or rank-based ANCOVA. Results Among 25 997 participants (mean age, 55 years ± 7.4 [SD]; 13 536 female participants), LPA identified six profiles of body fat distribution in both sexes. Four high-adiposity patterns were identified, including the pancreatic-predominant profile (profile 1), with elevated proton density fat fraction (mean BMI-adjusted z score, 2.38 ± 0.74 for male participants and 3.01 ± 1.08 for female participants; P < .001 for a difference across profiles for both sexes), and the skinny-fat profile (profile 3), with the highest adiposity burden in the majority of depots despite moderate BMI (six of eight depots for male participants and five of eight depots for female participants; P < .001 for a difference across profiles for each depot for both sexes). Compared with the lean profile, profiles 1 and 3 were associated with extensive gray matter atrophy (profile 1: Cohen d, -0.63 for male participants and -0.58 for female participants; profile 3: Cohen d, -0.56 for male participants and -0.12 for female participants; P < .001 for a difference across profiles for both sexes), elevated white matter hyperintensity load (profile 1: Cohen d, 0.47 for male participants and 0.42 for female participants; profile 3: Cohen d, 0.42 for male participants and 0.20 for female participants; P < .001 for a difference across profiles for both sexes), accelerated brain aging (Cohen d, 0.25 for male participants with profile 1 and 0.32 for male participants with profile 3; P < .001 for a difference across profiles), cognitive decline, and increased risk of neurologic disease. Conclusion LPA revealed distinct patterns of body fat distribution, where pancreatic-predominant and skinny-fat patterns, in particular, were associated with adverse neurologic outcomes. © The Author(s) 2026. Published by the Radiological Society of North America under a CC BY 4.0 license. Supplemental material is available for this article.</p>
15 Keywords
- Adiposity
- Adult
- Aged
- Body Fat Distribution
- Body Mass Index
- Brain
- Cognition
- Female
- Humans
- Magnetic Resonance Imaging
- Male
- Middle Aged
- Nervous System Diseases
- Prospective Studies
- United Kingdom
15 Authors
- Miao Yu
- Libin Yao
- Sanjeev Shahi
- Yingqianxi Xu
- Meizi Li
- Qingtong Zheng
- Di Ma
- Qi Zhang
- Dan Wang
- Yang Wu
- Xiao Zhou
- Haitao Ge
- Chunfeng Hu
- Yanjia Deng
- Kai Liu
1 Application
| Application ID | Title |
|---|---|
| 206864 | The mechanisms of multi-organ regulation on obesity |
Enabling scientific discoveries that improve human health