DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function
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Published:2021-06-02
Issue:1
Volume:13
Page:
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ISSN:1868-7075
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Container-title:Clinical Epigenetics
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language:en
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Short-container-title:Clin Epigenet
Author:
Matías-García Pamela R.ORCID, Ward-Caviness Cavin K., Raffield Laura M.ORCID, Gao XuORCID, Zhang YanORCID, Wilson Rory, Gào Xīn, Nano Jana, Bostom Andrew, Colicino Elena, Correa Adolfo, Coull Brent, Eaton Charles, Hou Lifang, Just Allan C., Kunze Sonja, Lange Leslie, Lange Ethan, Lin Xihong, Liu Simin, Nwanaji-Enwerem Jamaji C., Reiner Alex, Shen Jincheng, Schöttker Ben, Vokonas Pantel, Zheng Yinan, Young Bessie, Schwartz Joel, Horvath Steve, Lu Ake, Whitsel Eric A., Koenig Wolfgang, Adamski JerzyORCID, Winkelmann Juliane, Brenner HermannORCID, Baccarelli Andrea A., Gieger Christian, Peters Annette, Franceschini NoraORCID, Waldenberger MelanieORCID
Abstract
Abstract
Background
The difference between an individual's chronological and DNA methylation predicted age (DNAmAge), termed DNAmAge acceleration (DNAmAA), can capture life-long environmental exposures and age-related physiological changes reflected in methylation status. Several studies have linked DNAmAA to morbidity and mortality, yet its relationship with kidney function has not been assessed. We evaluated the associations between seven DNAm aging and lifespan predictors (as well as GrimAge components) and five kidney traits (estimated glomerular filtration rate [eGFR], urine albumin-to-creatinine ratio [uACR], serum urate, microalbuminuria and chronic kidney disease [CKD]) in up to 9688 European, African American and Hispanic/Latino individuals from seven population-based studies.
Results
We identified 23 significant associations in our large trans-ethnic meta-analysis (p < 1.43E−03 and consistent direction of effect across studies). Age acceleration measured by the Extrinsic and PhenoAge estimators, as well as Zhang’s 10-CpG epigenetic mortality risk score (MRS), were associated with all parameters of poor kidney health (lower eGFR, prevalent CKD, higher uACR, microalbuminuria and higher serum urate). Six of these associations were independently observed in European and African American populations. MRS in particular was consistently associated with eGFR (β = − 0.12, 95% CI = [− 0.16, − 0.08] change in log-transformed eGFR per unit increase in MRS, p = 4.39E−08), prevalent CKD (odds ratio (OR) = 1.78 [1.47, 2.16], p = 2.71E-09) and higher serum urate levels (β = 0.12 [0.07, 0.16], p = 2.08E−06). The “first-generation” clocks (Hannum, Horvath) and GrimAge showed different patterns of association with the kidney traits. Three of the DNAm-estimated components of GrimAge, namely adrenomedullin, plasminogen-activation inhibition 1 and pack years, were positively associated with higher uACR, serum urate and microalbuminuria.
Conclusion
DNAmAge acceleration and DNAm mortality predictors estimated in whole blood were associated with multiple kidney traits, including eGFR and CKD, in this multi-ethnic study. Epigenetic biomarkers which reflect the systemic effects of age-related mechanisms such as immunosenescence, inflammaging and oxidative stress may have important mechanistic or prognostic roles in kidney disease. Our study highlights new findings linking kidney disease to biological aging, and opportunities warranting future investigation into DNA methylation biomarkers for prognostic or risk stratification in kidney disease.
Funder
Bundesministerium für Bildung und Forschung Helmholtz Zentrum München Ludwig-Maximilians-Universität München Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg Bundesministerium für Familie, Senioren, Frauen und Jugend National Institute of Environmental Health Sciences Cooperative Studies Program/Epidemiology Research and Information Center of the U.S. Department of Veterans Affairs National Heart, Lung, and Blood Institute, National Institutes of Health, U.S. Department of Health and Human Services Foundation for the National Institutes of Health Jackson State University Tougaloo College Michigan Department of Mental Health University of Mississippi Medical Center National Institute on Minority Health and Health Disparities National Center for Advancing Translational Sciences, National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Genetics (clinical),Developmental Biology,Genetics,Molecular Biology
Reference87 articles.
1. Levey AS, Inker LA, Coresh J. GFR estimation: from physiology to public health. Am J Kidney Dis Off J Natl Kidney Found. 2014;63(5):820–34. 2. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Internal Med. 2009;150(9):604–12. 3. Eckardt KU, Coresh J, Devuyst O, Johnson RJ, Kottgen A, Levey AS, et al. Evolving importance of kidney disease: from subspecialty to global health burden. Lancet (London, England). 2013;382(9887):158–69. 4. Hill NR, Fatoba ST, Oke JL, Hirst JA, O’Callaghan CA, Lasserson DS, et al. Global prevalence of chronic kidney disease: a systematic review and meta-analysis. PLoS ONE. 2016;11(7):e0158765. 5. Levey AS, Atkins R, Coresh J, Cohen EP, Collins AJ, Eckardt KU, et al. Chronic kidney disease as a global public health problem: approaches and initiatives: a position statement from Kidney Disease Improving Global Outcomes. Kidney Int. 2007;72(3):247–59.
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