| Title: | Precision MRI phenotyping enables detection of small changes in body composition for longitudinal cohorts |
| Journal: | Scientific Reports |
| Published: | 8 Mar 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35260612/ |
| DOI: | https://doi.org/10.1038/s41598-022-07556-y |
| URL: | https://www.nature.com/articles/s41598-022-07556-y.pdf |
| Citations: | 8 (6 in last 2 years) as of 8 Aug 2024 |
Publication 12487
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Abstract
Longitudinal studies provide unique insights into the impact of environmental factors and lifespan issues on health and disease. Here we investigate changes in body composition in 3088 free-living participants, part of the UK Biobank in-depth imaging study. All participants underwent neck-to-knee MRI scans at the first imaging visit and after approximately two years (second imaging visit). Image-derived phenotypes for each participant were extracted using a fully-automated image processing pipeline, including volumes of several tissues and organs: liver, pancreas, spleen, kidneys, total skeletal muscle, iliopsoas muscle, visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue, as well as fat and iron content in liver, pancreas and spleen. Overall, no significant changes were observed in BMI, body weight, or waist circumference over the scanning interval, despite some large individual changes. A significant decrease in grip strength was observed, coupled to small, but statistically significant, decrease in all skeletal muscle measurements. Significant increases in VAT and intermuscular fat in the thighs were also detected in the absence of changes in BMI, waist circumference and ectopic-fat deposition. Adjusting for disease status at the first imaging visit did not have an additional impact on the changes observed. In summary, we show that even after a relatively short period of time significant changes in body composition can take place, probably reflecting the obesogenic environment currently inhabited by most of the general population in the United Kingdom.</p>
6 Keywords
- Body Composition
- Body Mass Index
- Humans
- Intra-Abdominal Fat
- Magnetic Resonance Imaging
- Waist Circumference
8 Authors
- Brandon Whitcher
- Marjola Thanaj
- Madeleine Cule
- Yi Liu
- Nicolas Basty
- Elena P. Sorokin
- Jimmy D. Bell
- E. Louise Thomas
1 Application
| Application ID | Title |
|---|---|
| 44584 | Enriched Image Based Phenotypes for Health Exploration and Discovery |
Enabling scientific discoveries that improve human health