Obesity and Kidney Function: A Two-Sample Mendelian Randomization Study

Author:

Kjaergaard Alisa D1ORCID,Teumer Alexander23ORCID,Witte Daniel R14,Stanzick Kira-Julia5,Winkler Thomas W5,Burgess Stephen67ORCID,Ellervik Christina891011

Affiliation:

1. Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark

2. Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany

3. DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany

4. Department of Public Health, Aarhus University, Aarhus, Denmark

5. Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany

6. MRC Biostatistics Unit, University of Cambridge, Cambridge, UK

7. Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK

8. Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

9. Department of Data and Development, Sorø, Region Zealand, Denmark

10. Department of Pathology, Harvard Medical School, Boston, MA

11. Department of Laboratory Medicine, Boston Children’s Hospital, Boston, MA

Abstract

Abstract Background Obesity and type 2 diabetes (T2D) are correlated risk factors for chronic kidney disease (CKD). Methods Using summary data from GIANT (Genetic Investigation of Anthropometric Traits), DIAGRAM (DIAbetes Genetics Replication And Meta-analysis), and CKDGen (CKD Genetics), we examined causality and directionality of the association between obesity and kidney function. Bidirectional 2-sample Mendelian randomization (MR) estimated the total causal effects of body mass index (BMI) and waist-to-hip ratio (WHR) on kidney function, and vice versa. Effects of adverse obesity and T2D were examined by stratifying BMI variants by their association with WHR and T2D. Multivariable MR estimated the direct causal effects of BMI and WHR on kidney function. The inverse variance weighted random-effects MR for Europeans was the main analysis, accompanied by several sensitivity MR analyses. Results One standard deviation (SD ≈ 4.8 kg/m2) genetically higher BMI was associated with decreased estimated glomerular filtration rate (eGFR) [β=−0.032 (95% confidence intervals: −0.036, −0.027) log[eGFR], P = 1 × 10−43], increased blood urea nitrogen (BUN) [β = 0.010 (0.005, 0.015) log[BUN], P = 3 × 10−6], increased urinary albumin-to-creatinine ratio [β = 0.199 (0.067, 0.332) log[urinary albumin-to-creatinine ratio (UACR)], P = 0.003] in individuals with diabetes, and increased risk of microalbuminuria [odds ratios (OR) = 1.15 [1.04–1.28], P = 0.009] and CKD [1.13 (1.07–1.19), P = 3 × 10−6]. Corresponding estimates for WHR and for trans-ethnic populations were overall similar. The associations were driven by adverse obesity, and for microalbuminuria additionally by T2D. While genetically high BMI, unlike WHR, was directly associated with eGFR, BUN, and CKD, the pathway to albuminuria was likely through T2D. Genetically predicted kidney function was not associated with BMI or WHR. Conclusions Genetically high BMI is associated with impaired kidney function, driven by adverse obesity, and for albuminuria additionally by T2D.

Publisher

Oxford University Press (OUP)

Subject

Biochemistry (medical),Clinical Biochemistry

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