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

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dc.contributor.author Wu, Zhanxuan E
dc.contributor.author Fraser, Karl
dc.contributor.author Kruger, Marlena C
dc.contributor.author Sequeira, Ivana R
dc.contributor.author Yip, Wilson
dc.contributor.author Lu, Louise W
dc.contributor.author Plank, Lindsay D
dc.contributor.author Murphy, Rinki
dc.contributor.author Cooper, Garth JS
dc.contributor.author Martin, Jean-Charles
dc.contributor.author Hollingsworth, Kieren G
dc.contributor.author Poppitt, Sally D
dc.coverage.spatial England
dc.date.accessioned 2021-07-18T23:31:48Z
dc.date.available 2021-07-18T23:31:48Z
dc.date.issued 2021-5-16
dc.identifier.citation International journal of obesity (2005) 16 May 2021
dc.identifier.issn 0307-0565
dc.identifier.uri https://hdl.handle.net/2292/55591
dc.description.abstract <h4>Background</h4>Excess visceral obesity and ectopic organ fat is associated with increased risk of cardiometabolic disease. However, circulating markers for early detection of ectopic fat, particularly pancreas and liver, are lacking.<h4>Methods</h4>Lipid storage in pancreas, liver, abdominal subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) from 68 healthy or pre-diabetic Caucasian and Chinese women enroled in the TOFI_Asia study was assessed by magnetic resonance imaging/spectroscopy (MRI/S). Plasma metabolites were measured with untargeted liquid chromatography-mass spectroscopy (LC-MS). Multivariate partial least squares (PLS) regression identified metabolites predictive of VAT/SAT and ectopic fat; univariate linear regression adjusting for potential covariates identified individual metabolites associated with VAT/SAT and ectopic fat; linear regression adjusted for ethnicity identified clinical and anthropometric correlates for each fat depot.<h4>Results</h4>PLS identified 56, 64 and 31 metabolites which jointly predicted pancreatic fat (R2Y = 0.81, Q2 = 0.69), liver fat (RY2 = 0.8, Q2 = 0.66) and VAT/SAT ((R2Y = 0.7, Q2 = 0.62)) respectively. Among the PLS-identified metabolites, none of them remained significantly associated with pancreatic fat after adjusting for all covariates. Dihydrosphingomyelin (dhSM(d36:0)), 3 phosphatidylethanolamines, 5 diacylglycerols (DG) and 40 triacylglycerols (TG) were associated with liver fat independent of covariates. Three DGs and 12 TGs were associated with VAT/SAT independent of covariates. Notably, comparison with clinical correlates showed better predictivity of ectopic fat by these PLS-identified plasma metabolite markers.<h4>Conclusions</h4>Untargeted metabolomics identified candidate markers of visceral and ectopic fat that improved fat level prediction over clinical markers. Several plasma metabolites were associated with level of liver fat and VAT/SAT ratio independent of age, total and visceral adiposity, whereas pancreatic fat deposition was only associated with increased sulfolithocholic acid independent of adiposity-related parameters, but not age.
dc.format.medium Print-Electronic
dc.language eng
dc.publisher Springer Science and Business Media LLC
dc.relation.ispartofseries International journal of obesity (2005)
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Science & Technology
dc.subject Life Sciences & Biomedicine
dc.subject Endocrinology & Metabolism
dc.subject Nutrition & Dietetics
dc.subject CARDIOVASCULAR-DISEASE
dc.subject INSULIN-RESISTANCE
dc.subject WEIGHT-LOSS
dc.subject OBESITY
dc.subject RISK
dc.subject ADIPOSITY
dc.subject LACTATE
dc.subject PROFILE
dc.subject ATHEROSCLEROSIS
dc.subject ASSOCIATION
dc.subject 11 Medical and Health Sciences
dc.subject 13 Education
dc.title Untargeted metabolomics reveals plasma metabolites predictive of ectopic fat in pancreas and liver as assessed by magnetic resonance imaging: the TOFI_Asia study.
dc.type Journal Article
dc.identifier.doi 10.1038/s41366-021-00854-x
pubs.begin-page 1
dc.date.updated 2021-06-26T08:34:20Z
dc.rights.holder Copyright: The authors en
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/33994541
pubs.end-page 11
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Journal Article
pubs.elements-id 853983
dc.identifier.eissn 1476-5497
dc.identifier.pii 10.1038/s41366-021-00854-x
pubs.online-publication-date 2021-5-16


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