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Adiposity, metabolomic biomarkers, and risk of nonalcoholic fatty liver disease: a case-cohort study
BACKGROUND: Globally, the burden of obesity and associated nonalcoholic fatty liver disease (NAFLD) are rising, but little is known about the role that circulating metabolomic biomarkers play in mediating their association. OBJECTIVES: We aimed to examine the observational and genetic associations o...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8895224/ https://www.ncbi.nlm.nih.gov/pubmed/34902008 http://dx.doi.org/10.1093/ajcn/nqab392 |
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author | Pang, Yuanjie Kartsonaki, Christiana Lv, Jun Millwood, Iona Y Fairhurst-Hunter, Zammy Turnbull, Iain Bragg, Fiona Hill, Michael R Yu, Canqing Guo, Yu Chen, Yiping Yang, Ling Clarke, Robert Walters, Robin G Wu, Ming Chen, Junshi Li, Liming Chen, Zhengming Holmes, Michael V |
author_facet | Pang, Yuanjie Kartsonaki, Christiana Lv, Jun Millwood, Iona Y Fairhurst-Hunter, Zammy Turnbull, Iain Bragg, Fiona Hill, Michael R Yu, Canqing Guo, Yu Chen, Yiping Yang, Ling Clarke, Robert Walters, Robin G Wu, Ming Chen, Junshi Li, Liming Chen, Zhengming Holmes, Michael V |
author_sort | Pang, Yuanjie |
collection | PubMed |
description | BACKGROUND: Globally, the burden of obesity and associated nonalcoholic fatty liver disease (NAFLD) are rising, but little is known about the role that circulating metabolomic biomarkers play in mediating their association. OBJECTIVES: We aimed to examine the observational and genetic associations of adiposity with metabolomic biomarkers and the observational associations of metabolomic biomarkers with incident NAFLD. METHODS: A case-subcohort study within the prospective China Kadoorie Biobank included 176 NAFLD cases and 180 subcohort individuals and measured 1208 metabolites in stored baseline plasma using a Metabolon assay. In the subcohort the observational and genetic associations of BMI with biomarkers were assessed using linear regression, with adjustment for multiple testing. Cox regression was used to estimate adjusted HRs for NAFLD associated with biomarkers. RESULTS: In observational analyses, BMI (kg/m(2); mean: 23.9 in the subcohort) was associated with 199 metabolites at a 5% false discovery rate. The effects of genetically elevated BMI with specific metabolites were directionally consistent with the observational associations. Overall, 35 metabolites were associated with NAFLD risk, of which 15 were also associated with BMI, including glutamate (HR per 1-SD higher metabolite: 1.95; 95% CI: 1.48, 2.56), cysteine-glutathione disulfide (0.44; 0.31, 0.62), diaclyglycerol (C32:1) (1.71; 1.24, 2.35), behenoyl dihydrosphingomyelin (C40:0) (1.92; 1.42, 2.59), butyrylcarnitine (C4) (1.91; 1.38, 2.35), 2-hydroxybehenate (1.81; 1.34, 2.45), and 4-cholesten-3-one (1.79; 1.27, 2.54). The discriminatory performance of known risk factors was increased when 28 metabolites were also considered simultaneously in the model (weighted C-statistic: 0.84 to 0.90; P < 0.001). CONCLUSIONS: Among relatively lean Chinese adults, a range of metabolomic biomarkers are associated with NAFLD risk and these biomarkers may lie on the pathway between adiposity and NAFLD. |
format | Online Article Text |
id | pubmed-8895224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88952242022-03-07 Adiposity, metabolomic biomarkers, and risk of nonalcoholic fatty liver disease: a case-cohort study Pang, Yuanjie Kartsonaki, Christiana Lv, Jun Millwood, Iona Y Fairhurst-Hunter, Zammy Turnbull, Iain Bragg, Fiona Hill, Michael R Yu, Canqing Guo, Yu Chen, Yiping Yang, Ling Clarke, Robert Walters, Robin G Wu, Ming Chen, Junshi Li, Liming Chen, Zhengming Holmes, Michael V Am J Clin Nutr Original Research Communications BACKGROUND: Globally, the burden of obesity and associated nonalcoholic fatty liver disease (NAFLD) are rising, but little is known about the role that circulating metabolomic biomarkers play in mediating their association. OBJECTIVES: We aimed to examine the observational and genetic associations of adiposity with metabolomic biomarkers and the observational associations of metabolomic biomarkers with incident NAFLD. METHODS: A case-subcohort study within the prospective China Kadoorie Biobank included 176 NAFLD cases and 180 subcohort individuals and measured 1208 metabolites in stored baseline plasma using a Metabolon assay. In the subcohort the observational and genetic associations of BMI with biomarkers were assessed using linear regression, with adjustment for multiple testing. Cox regression was used to estimate adjusted HRs for NAFLD associated with biomarkers. RESULTS: In observational analyses, BMI (kg/m(2); mean: 23.9 in the subcohort) was associated with 199 metabolites at a 5% false discovery rate. The effects of genetically elevated BMI with specific metabolites were directionally consistent with the observational associations. Overall, 35 metabolites were associated with NAFLD risk, of which 15 were also associated with BMI, including glutamate (HR per 1-SD higher metabolite: 1.95; 95% CI: 1.48, 2.56), cysteine-glutathione disulfide (0.44; 0.31, 0.62), diaclyglycerol (C32:1) (1.71; 1.24, 2.35), behenoyl dihydrosphingomyelin (C40:0) (1.92; 1.42, 2.59), butyrylcarnitine (C4) (1.91; 1.38, 2.35), 2-hydroxybehenate (1.81; 1.34, 2.45), and 4-cholesten-3-one (1.79; 1.27, 2.54). The discriminatory performance of known risk factors was increased when 28 metabolites were also considered simultaneously in the model (weighted C-statistic: 0.84 to 0.90; P < 0.001). CONCLUSIONS: Among relatively lean Chinese adults, a range of metabolomic biomarkers are associated with NAFLD risk and these biomarkers may lie on the pathway between adiposity and NAFLD. Oxford University Press 2021-12-13 /pmc/articles/PMC8895224/ /pubmed/34902008 http://dx.doi.org/10.1093/ajcn/nqab392 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Communications Pang, Yuanjie Kartsonaki, Christiana Lv, Jun Millwood, Iona Y Fairhurst-Hunter, Zammy Turnbull, Iain Bragg, Fiona Hill, Michael R Yu, Canqing Guo, Yu Chen, Yiping Yang, Ling Clarke, Robert Walters, Robin G Wu, Ming Chen, Junshi Li, Liming Chen, Zhengming Holmes, Michael V Adiposity, metabolomic biomarkers, and risk of nonalcoholic fatty liver disease: a case-cohort study |
title | Adiposity, metabolomic biomarkers, and risk of nonalcoholic fatty liver disease: a case-cohort study |
title_full | Adiposity, metabolomic biomarkers, and risk of nonalcoholic fatty liver disease: a case-cohort study |
title_fullStr | Adiposity, metabolomic biomarkers, and risk of nonalcoholic fatty liver disease: a case-cohort study |
title_full_unstemmed | Adiposity, metabolomic biomarkers, and risk of nonalcoholic fatty liver disease: a case-cohort study |
title_short | Adiposity, metabolomic biomarkers, and risk of nonalcoholic fatty liver disease: a case-cohort study |
title_sort | adiposity, metabolomic biomarkers, and risk of nonalcoholic fatty liver disease: a case-cohort study |
topic | Original Research Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8895224/ https://www.ncbi.nlm.nih.gov/pubmed/34902008 http://dx.doi.org/10.1093/ajcn/nqab392 |
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