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.citation.issue8
dc.citation.volume45
dc.contributor.authorWu ZE
dc.contributor.authorFraser K
dc.contributor.authorKruger MC
dc.contributor.authorSequeira IR
dc.contributor.authorYip W
dc.contributor.authorLu LW
dc.contributor.authorPlank LD
dc.contributor.authorMurphy R
dc.contributor.authorCooper GJS
dc.contributor.authorMartin J-C
dc.contributor.authorHollingsworth KG
dc.contributor.authorPoppitt SD
dc.coverage.spatialEngland
dc.date.accessioned2023-07-18T01:39:02Z
dc.date.accessioned2023-09-04T01:40:49Z
dc.date.available2021-05-16
dc.date.available2023-07-18T01:39:02Z
dc.date.available2023-09-04T01:40:49Z
dc.date.issued2021-08
dc.date.updated2023-07-17T04:20:57Z
dc.description(c) The Author/sen_US
dc.description.abstractBACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.description.confidentialfalse
dc.edition.editionAugust 2021
dc.format.extent1844-1854
dc.identifier10.1038/s41366-021-00854-x
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/33994541
dc.identifier.citationWu ZE, Fraser K, Kruger MC, Sequeira IR, Yip W, Lu LW, Plank LD, Murphy R, Cooper GJS, Martin J-C, Hollingsworth KG, Poppitt SD. (2021). Untargeted metabolomics reveals plasma metabolites predictive of ectopic fat in pancreas and liver as assessed by magnetic resonance imaging: the TOFI_Asia study.. Int J Obes (Lond). 45. 8. (pp. 1844-1854).
dc.identifier.doi10.1038/s41366-021-00854-x
dc.identifier.eissn1476-5497
dc.identifier.elements-typejournal-article
dc.identifier.harvestedMassey_Dark
dc.identifier.issn0307-0565
dc.identifier.urihttp://hdl.handle.net/10179/19883
dc.languageeng
dc.publisherSpringer Nature Limited
dc.publisher.urihttps://www.nature.com/articles/s41366-021-00854-x
dc.relation.isPartOfInt J Obes (Lond)
dc.rightsCC BY 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectAdult
dc.subjectAged
dc.subjectBiomarkers
dc.subjectFemale
dc.subjectHumans
dc.subjectIntra-Abdominal Fat
dc.subjectLeast-Squares Analysis
dc.subjectLiver
dc.subjectMagnetic Resonance Imaging
dc.subjectMetabolome
dc.subjectMetabolomics
dc.subjectMiddle Aged
dc.subjectPancreas
dc.subjectYoung Adult
dc.titleUntargeted metabolomics reveals plasma metabolites predictive of ectopic fat in pancreas and liver as assessed by magnetic resonance imaging: the TOFI_Asia study
dc.typeJournal article
pubs.elements-id445377
pubs.organisational-groupOther
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