Caffeine Intake, Plasma Caffeine Level, and Kidney Function: A Mendelian Randomization Study

Author:

Giontella Alice1ORCID,de La Harpe Roxane2ORCID,Cronje Héléne T.3,Zagkos Loukas4ORCID,Woolf Benjamin567ORCID,Larsson Susanna C.89ORCID,Gill Dipender4ORCID

Affiliation:

1. Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms Gata 35 Malmö, 214 28 Malmo, Sweden

2. Unit of Internal Medicine, Department of Medicine, University Hospital of Lausanne, Rue du Bugnon 21, 1011 Lausanne, Switzerland

3. Department of Public Health, Section of Epidemiology, University of Copenhagen, 1165 Copenhagen, Denmark

4. Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London SW7 2BX, UK

5. Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK

6. Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK

7. Department of Psychological Science, University of Bristol, Bristol BS8 1TU, UK

8. Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, 751 85 Uppsala, Sweden

9. Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden

Abstract

Caffeine is a psychoactive substance widely consumed worldwide, mainly via sources such as coffee and tea. The effects of caffeine on kidney function remain unclear. We leveraged the genetic variants in the CYP1A2 and AHR genes via the two-sample Mendelian randomization (MR) framework to estimate the association of genetically predicted plasma caffeine and caffeine intake on kidney traits. Genetic association summary statistics on plasma caffeine levels and caffeine intake were taken from genome-wide association study (GWAS) meta-analyses of 9876 and of >47,000 European ancestry individuals, respectively. Genetically predicted plasma caffeine levels were associated with a decrease in estimated glomerular filtration rate (eGFR) measured using either creatinine or cystatin C. In contrast, genetically predicted caffeine intake was associated with an increase in eGFR and a low risk of chronic kidney disease. The discrepancy is likely attributable to faster metabolizers of caffeine consuming more caffeine-containing beverages to achieve the same pharmacological effect. Further research is needed to distinguish whether the observed effects on kidney function are driven by the harmful effects of higher plasma caffeine levels or the protective effects of greater intake of caffeine-containing beverages, particularly given the widespread use of drinks containing caffeine and the increasing burden of kidney disease.

Funder

the British Heart Foundation Centre of Research Excellence

Swedish Research Council for Health, Working Life and Welfare

Swedish Research Council

Swedish Cancer Society

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

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