Please use this identifier to cite or link to this item: https://doi.org/10.1186/s13148-021-01082-w
DC FieldValue
dc.titleDNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function
dc.contributor.authorMatías-García, Pamela R.
dc.contributor.authorWard-Caviness, Cavin K.
dc.contributor.authorRaffield, Laura M.
dc.contributor.authorGao, Xu
dc.contributor.authorZhang, Yan
dc.contributor.authorWilson, Rory
dc.contributor.authorGào, X?n
dc.contributor.authorNano, Jana
dc.contributor.authorBostom, Andrew
dc.contributor.authorColicino, Elena
dc.contributor.authorCorrea, Adolfo
dc.contributor.authorCoull, Brent
dc.contributor.authorEaton, Charles
dc.contributor.authorHou, Lifang
dc.contributor.authorJust, Allan C.
dc.contributor.authorKunze, Sonja
dc.contributor.authorLange, Leslie
dc.contributor.authorLange, Ethan
dc.contributor.authorLin, Xihong
dc.contributor.authorLiu, Simin
dc.contributor.authorNwanaji-Enwerem, Jamaji C.
dc.contributor.authorReiner, Alex
dc.contributor.authorShen, Jincheng
dc.contributor.authorSchöttker, Ben
dc.contributor.authorVokonas, Pantel
dc.contributor.authorZheng, Yinan
dc.contributor.authorYoung, Bessie
dc.contributor.authorSchwartz, Joel
dc.contributor.authorHorvath, Steve
dc.contributor.authorLu, Ake
dc.contributor.authorWhitsel, Eric A.
dc.contributor.authorKoenig, Wolfgang
dc.contributor.authorAdamski, Jerzy
dc.contributor.authorWinkelmann, Juliane
dc.contributor.authorBrenner, Hermann
dc.contributor.authorBaccarelli, Andrea A.
dc.contributor.authorGieger, Christian
dc.contributor.authorPeters, Annette
dc.contributor.authorFranceschini, Nora
dc.contributor.authorWaldenberger, Melanie
dc.date.accessioned2022-10-13T06:45:16Z
dc.date.available2022-10-13T06:45:16Z
dc.date.issued2021-06-02
dc.identifier.citationMatías-García, Pamela R., Ward-Caviness, Cavin K., Raffield, Laura M., Gao, Xu, Zhang, Yan, Wilson, Rory, Gào, X?n, 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 (2021-06-02). DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function. Clinical Epigenetics 13 (1) : 121. ScholarBank@NUS Repository. https://doi.org/10.1186/s13148-021-01082-w
dc.identifier.issn1868-7075
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/233052
dc.description.abstractBackground: 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 (? = ? 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 (? = 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. © 2021, The Author(s).
dc.publisherBioMed Central Ltd
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2021
dc.subjectAging
dc.subjectDNAm age
dc.subjectEpigenetic age acceleration
dc.subjectGlomerular filtration rate
dc.subjectKidney function
dc.subjectSerum urate
dc.subjectUACR
dc.typeArticle
dc.contributor.departmentBIOCHEMISTRY
dc.description.doi10.1186/s13148-021-01082-w
dc.description.sourcetitleClinical Epigenetics
dc.description.volume13
dc.description.issue1
dc.description.page121
Appears in Collections:Staff Publications
Elements

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1186_s13148-021-01082-w.pdf1.89 MBAdobe PDF

OPEN

NoneView/Download

SCOPUSTM   
Citations

4
checked on Jan 30, 2023

Page view(s)

18
checked on Feb 2, 2023

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons