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Universal DNA methylation age across mammalian tissues.

Authors :
Lu AT
Fei Z
Haghani A
Robeck TR
Zoller JA
Li CZ
Lowe R
Yan Q
Zhang J
Vu H
Ablaeva J
Acosta-Rodriguez VA
Adams DM
Almunia J
Aloysius A
Ardehali R
Arneson A
Baker CS
Banks G
Belov K
Bennett NC
Black P
Blumstein DT
Bors EK
Breeze CE
Brooke RT
Brown JL
Carter GG
Caulton A
Cavin JM
Chakrabarti L
Chatzistamou I
Chen H
Cheng K
Chiavellini P
Choi OW
Clarke SM
Cooper LN
Cossette ML
Day J
DeYoung J
DiRocco S
Dold C
Ehmke EE
Emmons CK
Emmrich S
Erbay E
Erlacher-Reid C
Faulkes CG
Ferguson SH
Finno CJ
Flower JE
Gaillard JM
Garde E
Gerber L
Gladyshev VN
Gorbunova V
Goya RG
Grant MJ
Green CB
Hales EN
Hanson MB
Hart DW
Haulena M
Herrick K
Hogan AN
Hogg CJ
Hore TA
Huang T
Izpisua Belmonte JC
Jasinska AJ
Jones G
Jourdain E
Kashpur O
Katcher H
Katsumata E
Kaza V
Kiaris H
Kobor MS
Kordowitzki P
Koski WR
Krützen M
Kwon SB
Larison B
Lee SG
Lehmann M
Lemaitre JF
Levine AJ
Li C
Li X
Lim AR
Lin DTS
Lindemann DM
Little TJ
Macoretta N
Maddox D
Matkin CO
Mattison JA
McClure M
Mergl J
Meudt JJ
Montano GA
Mozhui K
Munshi-South J
Naderi A
Nagy M
Narayan P
Nathanielsz PW
Nguyen NB
Niehrs C
O'Brien JK
O'Tierney Ginn P
Odom DT
Ophir AG
Osborn S
Ostrander EA
Parsons KM
Paul KC
Pellegrini M
Peters KJ
Pedersen AB
Petersen JL
Pietersen DW
Pinho GM
Plassais J
Poganik JR
Prado NA
Reddy P
Rey B
Ritz BR
Robbins J
Rodriguez M
Russell J
Rydkina E
Sailer LL
Salmon AB
Sanghavi A
Schachtschneider KM
Schmitt D
Schmitt T
Schomacher L
Schook LB
Sears KE
Seifert AW
Seluanov A
Shafer ABA
Shanmuganayagam D
Shindyapina AV
Simmons M
Singh K
Sinha I
Slone J
Snell RG
Soltanmaohammadi E
Spangler ML
Spriggs MC
Staggs L
Stedman N
Steinman KJ
Stewart DT
Sugrue VJ
Szladovits B
Takahashi JS
Takasugi M
Teeling EC
Thompson MJ
Van Bonn B
Vernes SC
Villar D
Vinters HV
Wallingford MC
Wang N
Wayne RK
Wilkinson GS
Williams CK
Williams RW
Yang XW
Yao M
Young BG
Zhang B
Zhang Z
Zhao P
Zhao Y
Zhou W
Zimmermann J
Ernst J
Raj K
Horvath S
Source :
Nature aging [Nat Aging] 2023 Sep; Vol. 3 (9), pp. 1144-1166. Date of Electronic Publication: 2023 Aug 10.
Publication Year :
2023

Abstract

Aging, often considered a result of random cellular damage, can be accurately estimated using DNA methylation profiles, the foundation of pan-tissue epigenetic clocks. Here, we demonstrate the development of universal pan-mammalian clocks, using 11,754 methylation arrays from our Mammalian Methylation Consortium, which encompass 59 tissue types across 185 mammalian species. These predictive models estimate mammalian tissue age with high accuracy (r > 0.96). Age deviations correlate with human mortality risk, mouse somatotropic axis mutations and caloric restriction. We identified specific cytosines with methylation levels that change with age across numerous species. These sites, highly enriched in polycomb repressive complex 2-binding locations, are near genes implicated in mammalian development, cancer, obesity and longevity. Our findings offer new evidence suggesting that aging is evolutionarily conserved and intertwined with developmental processes across all mammals.<br /> (© 2023. The Author(s).)

Details

Language :
English
ISSN :
2662-8465
Volume :
3
Issue :
9
Database :
MEDLINE
Journal :
Nature aging
Publication Type :
Academic Journal
Accession number :
37563227
Full Text :
https://doi.org/10.1038/s43587-023-00462-6