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Contributions of obesity to kidney health and disease: insights from Mendelian randomization and the human kidney transcriptomics
AIMS: Obesity and kidney diseases are common complex disorders with an increasing clinical and economic impact on healthcare around the globe. Our objective was to examine if modifiable anthropometric obesity indices show putatively causal association with kidney health and disease and highlight bio...
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/PMC9732514/ https://www.ncbi.nlm.nih.gov/pubmed/34893803 http://dx.doi.org/10.1093/cvr/cvab357 |
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author | Xu, Xiaoguang Eales, James M Jiang, Xiao Sanderson, Eleanor Drzal, Maciej Saluja, Sushant Scannali, David Williams, Bryan Morris, Andrew P Guzik, Tomasz J Charchar, Fadi J Holmes, Michael V Tomaszewski, Maciej |
author_facet | Xu, Xiaoguang Eales, James M Jiang, Xiao Sanderson, Eleanor Drzal, Maciej Saluja, Sushant Scannali, David Williams, Bryan Morris, Andrew P Guzik, Tomasz J Charchar, Fadi J Holmes, Michael V Tomaszewski, Maciej |
author_sort | Xu, Xiaoguang |
collection | PubMed |
description | AIMS: Obesity and kidney diseases are common complex disorders with an increasing clinical and economic impact on healthcare around the globe. Our objective was to examine if modifiable anthropometric obesity indices show putatively causal association with kidney health and disease and highlight biological mechanisms of potential relevance to the association between obesity and the kidney. METHODS AND RESULTS: We performed observational, one-sample, two-sample Mendelian randomization (MR) and multivariable MR studies in ∼300 000 participants of white-British ancestry from UK Biobank and participants of predominantly European ancestry from genome-wide association studies. The MR analyses revealed that increasing values of genetically predicted body mass index and waist circumference were causally associated with biochemical indices of renal function, kidney health index (a composite renal outcome derived from blood biochemistry, urine analysis, and International Classification of Disease-based kidney disease diagnoses), and both acute and chronic kidney diseases of different aetiologies including hypertensive renal disease and diabetic nephropathy. Approximately 13–16% and 21–26% of the potentially causal effect of obesity indices on kidney health were mediated by blood pressure and type 2 diabetes, respectively. A total of 61 pathways mapping primarily onto transcriptional/translational regulation, innate and adaptive immunity, and extracellular matrix and metabolism were associated with obesity measures in gene set enrichment analysis in up to 467 kidney transcriptomes. CONCLUSIONS: Our data show that a putatively causal association of obesity with renal health is largely independent of blood pressure and type 2 diabetes and uncover the signatures of obesity on the transcriptome of human kidney. |
format | Online Article Text |
id | pubmed-9732514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97325142022-12-13 Contributions of obesity to kidney health and disease: insights from Mendelian randomization and the human kidney transcriptomics Xu, Xiaoguang Eales, James M Jiang, Xiao Sanderson, Eleanor Drzal, Maciej Saluja, Sushant Scannali, David Williams, Bryan Morris, Andrew P Guzik, Tomasz J Charchar, Fadi J Holmes, Michael V Tomaszewski, Maciej Cardiovasc Res Original Article AIMS: Obesity and kidney diseases are common complex disorders with an increasing clinical and economic impact on healthcare around the globe. Our objective was to examine if modifiable anthropometric obesity indices show putatively causal association with kidney health and disease and highlight biological mechanisms of potential relevance to the association between obesity and the kidney. METHODS AND RESULTS: We performed observational, one-sample, two-sample Mendelian randomization (MR) and multivariable MR studies in ∼300 000 participants of white-British ancestry from UK Biobank and participants of predominantly European ancestry from genome-wide association studies. The MR analyses revealed that increasing values of genetically predicted body mass index and waist circumference were causally associated with biochemical indices of renal function, kidney health index (a composite renal outcome derived from blood biochemistry, urine analysis, and International Classification of Disease-based kidney disease diagnoses), and both acute and chronic kidney diseases of different aetiologies including hypertensive renal disease and diabetic nephropathy. Approximately 13–16% and 21–26% of the potentially causal effect of obesity indices on kidney health were mediated by blood pressure and type 2 diabetes, respectively. A total of 61 pathways mapping primarily onto transcriptional/translational regulation, innate and adaptive immunity, and extracellular matrix and metabolism were associated with obesity measures in gene set enrichment analysis in up to 467 kidney transcriptomes. CONCLUSIONS: Our data show that a putatively causal association of obesity with renal health is largely independent of blood pressure and type 2 diabetes and uncover the signatures of obesity on the transcriptome of human kidney. Oxford University Press 2021-12-10 /pmc/articles/PMC9732514/ /pubmed/34893803 http://dx.doi.org/10.1093/cvr/cvab357 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology. 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 Article Xu, Xiaoguang Eales, James M Jiang, Xiao Sanderson, Eleanor Drzal, Maciej Saluja, Sushant Scannali, David Williams, Bryan Morris, Andrew P Guzik, Tomasz J Charchar, Fadi J Holmes, Michael V Tomaszewski, Maciej Contributions of obesity to kidney health and disease: insights from Mendelian randomization and the human kidney transcriptomics |
title | Contributions of obesity to kidney health and disease: insights from Mendelian randomization and the human kidney transcriptomics |
title_full | Contributions of obesity to kidney health and disease: insights from Mendelian randomization and the human kidney transcriptomics |
title_fullStr | Contributions of obesity to kidney health and disease: insights from Mendelian randomization and the human kidney transcriptomics |
title_full_unstemmed | Contributions of obesity to kidney health and disease: insights from Mendelian randomization and the human kidney transcriptomics |
title_short | Contributions of obesity to kidney health and disease: insights from Mendelian randomization and the human kidney transcriptomics |
title_sort | contributions of obesity to kidney health and disease: insights from mendelian randomization and the human kidney transcriptomics |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732514/ https://www.ncbi.nlm.nih.gov/pubmed/34893803 http://dx.doi.org/10.1093/cvr/cvab357 |
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