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DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function

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 DN...

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Autores principales: Matías-García, Pamela R., Ward-Caviness, Cavin K., Raffield, Laura M., Gao, Xu, Zhang, Yan, 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, Jerzy, Winkelmann, Juliane, Brenner, Hermann, Baccarelli, Andrea A., Gieger, Christian, Peters, Annette, Franceschini, Nora, Waldenberger, Melanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170969/
https://www.ncbi.nlm.nih.gov/pubmed/34078457
http://dx.doi.org/10.1186/s13148-021-01082-w
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author Matías-García, Pamela R.
Ward-Caviness, Cavin K.
Raffield, Laura M.
Gao, Xu
Zhang, Yan
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, Jerzy
Winkelmann, Juliane
Brenner, Hermann
Baccarelli, Andrea A.
Gieger, Christian
Peters, Annette
Franceschini, Nora
Waldenberger, Melanie
author_facet Matías-García, Pamela R.
Ward-Caviness, Cavin K.
Raffield, Laura M.
Gao, Xu
Zhang, Yan
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, Jerzy
Winkelmann, Juliane
Brenner, Hermann
Baccarelli, Andrea A.
Gieger, Christian
Peters, Annette
Franceschini, Nora
Waldenberger, Melanie
author_sort Matías-García, Pamela R.
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01082-w.
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spelling pubmed-81709692021-06-03 DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function Matías-García, Pamela R. Ward-Caviness, Cavin K. Raffield, Laura M. Gao, Xu Zhang, Yan 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, Jerzy Winkelmann, Juliane Brenner, Hermann Baccarelli, Andrea A. Gieger, Christian Peters, Annette Franceschini, Nora Waldenberger, Melanie Clin Epigenetics Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01082-w. BioMed Central 2021-06-02 /pmc/articles/PMC8170969/ /pubmed/34078457 http://dx.doi.org/10.1186/s13148-021-01082-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Matías-García, Pamela R.
Ward-Caviness, Cavin K.
Raffield, Laura M.
Gao, Xu
Zhang, Yan
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, Jerzy
Winkelmann, Juliane
Brenner, Hermann
Baccarelli, Andrea A.
Gieger, Christian
Peters, Annette
Franceschini, Nora
Waldenberger, Melanie
DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function
title DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function
title_full DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function
title_fullStr DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function
title_full_unstemmed DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function
title_short DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function
title_sort dnam-based signatures of accelerated aging and mortality in blood are associated with low renal function
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170969/
https://www.ncbi.nlm.nih.gov/pubmed/34078457
http://dx.doi.org/10.1186/s13148-021-01082-w
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