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. 2021 May 16;45(8):1844–1854. doi: 10.1038/s41366-021-00854-x

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — Association of individual metabolite markers with (a) pancreatic fat, (b) liver fat, (c) VAT/SAT ratio assessed by linear regression, with adjustment for ethnicity (M1), ethnicity + BMI + TBF(%) (M2); pancreatic fat and liver fat were further adjusted for VAT/SAT (M3); and additionally for age (M4). Significance tests were after multiple testing correction (p < 0.05). For the (b) liver fat age-adjusted model (M4, green) did not alter the β-coefficient therefore dots were mostly overlapped with M3; details of the β-coefficient values can be found in Table S5. Markers were categorised by classes and within each class, ordered by β-coefficient in M1 from the highest to the lowest. FA fatty acyls, GL glycerolipids, GP glycerophospholipids, SP sphingolipids, ST sterol lipids, HILIC HILIC-measured polar metabolites.