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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.
Afiliación
  • Xu X; Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, AV Hill Building, Manchester, M13 9PT, UK.
  • Eales JM; Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, AV Hill Building, Manchester, M13 9PT, UK.
  • Jiang X; Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, AV Hill Building, Manchester, M13 9PT, UK.
  • Sanderson E; MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK.
  • Drzal M; Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, AV Hill Building, Manchester, M13 9PT, UK.
  • Saluja S; Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, AV Hill Building, Manchester, M13 9PT, UK.
  • Scannali D; Division of Cardiovascular Sciences, Faculty of Medicine, Biology and Health, University of Manchester, AV Hill Building, Manchester, M13 9PT, UK.
  • Williams B; Institute of Cardiovascular Sciences, University College London, Roger Williams Building, London, WC1E 6HX, UK.
  • Morris AP; Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal & Dermatological Sciences, Faculty of Medicine, Biology and Health, University of Manchester, AV Hill Building, Manchester, M13 9PT, UK.
  • Guzik TJ; BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8TA, UK.
  • Charchar FJ; Department of Internal and Agricultural Medicine, Jagiellonian University College of Medicine, Skarbowa 1, 31-121 Kraków, Poland.
  • Holmes MV; School of Science, Psychology and Sport, Federation University, Ballarat, Victoria, 3353, Australia.
  • Tomaszewski M; Department of Cardiovascular Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK.
Cardiovasc Res ; 118(15): 3151-3161, 2022 12 09.
Article en En | MEDLINE | ID: mdl-34893803
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.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 Tipo de estudio: Clinical_trials / Prognostic_studies Idioma: En Revista: Cardiovasc Res Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 Tipo de estudio: Clinical_trials / Prognostic_studies Idioma: En Revista: Cardiovasc Res Año: 2022 Tipo del documento: Article