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Untargeted metabolomics reveals plasma metabolites predictive of ectopic fat in pancreas and liver as assessed by magnetic resonance imaging: the TOFI_Asia study

Medicine and Health

Untargeted metabolomics reveals plasma metabolites predictive of ectopic fat in pancreas and liver as assessed by magnetic resonance imaging: the TOFI_Asia study

Z. E. Wu, K. Fraser, et al.

This groundbreaking study, conducted by Zhanxuan E. Wu and colleagues, explores circulating markers for early detection of ectopic fat in the pancreas and liver. Utilizing advanced techniques like MRI/S and untargeted LC-MS, the research identifies promising plasma metabolites linked to fat deposition, offering potential improvements over traditional clinical markers.

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Playback language: English
Abstract
This study investigated circulating markers for early detection of ectopic fat in the pancreas and liver. Using data from the TOFI_Asia study (68 healthy or pre-diabetic women), magnetic resonance imaging/spectroscopy (MRI/S) assessed lipid storage in various adipose tissue depots. Plasma metabolites were measured using untargeted liquid chromatography-mass spectroscopy (LC-MS). Multivariate partial least squares (PLS) regression identified metabolites predictive of different fat depots. The results showed that several plasma metabolites were associated with liver fat and VAT/SAT ratio independent of covariates, while pancreatic fat deposition was associated with increased sulfolithocholic acid independent of adiposity but not age. Untargeted metabolomics identified candidate markers of visceral and ectopic fat that improved fat level prediction compared to clinical markers.
Publisher
International Journal of Obesity
Published On
May 16, 2021
Authors
Zhanxuan E. Wu, Karl Fraser, Marlena C. Kruger, Ivana R. Sequeira, Wilson Yip, Louise W. Lu, Lindsay D. Plank, Rinki Murphy, Garth J. S. Cooper, Jean-Charles Martin, Kieren G. Hollingsworth, Sally D. Poppitt
Tags
ectopic fat
pancreas
liver
plasma metabolites
fat deposition
untargeted metabolomics
MRI/S

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