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. |
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dc.format.medium |
Print-Electronic |
|
dc.language |
eng |
|
dc.publisher |
Springer Science and Business Media LLC |
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dc.relation.ispartofseries |
International journal of obesity (2005) |
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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 |
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dc.subject |
WEIGHT-LOSS |
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dc.subject |
OBESITY |
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dc.subject |
RISK |
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dc.subject |
ADIPOSITY |
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dc.subject |
LACTATE |
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dc.subject |
PROFILE |
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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 |
|