Ontology highlight
ABSTRACT:
SUBMITTER: Lu AT
PROVIDER: S-EPMC10501909 | biostudies-literature | 2023 Sep
REPOSITORIES: biostudies-literature
Lu A T AT Fei Z Z Haghani A A Robeck T R TR Zoller J A JA Li C Z CZ Lowe R R Yan Q Q Zhang J J Vu H H Ablaeva J J Acosta-Rodriguez V A VA Adams D M DM Almunia J J Aloysius A A Ardehali R R Arneson A A Baker C S CS Banks G G Belov K K Bennett N C NC Black P P Blumstein D T DT Bors E K EK Breeze C E CE Brooke R T RT Brown J L JL Carter G G GG Caulton A A Cavin J M JM Chakrabarti L L Chatzistamou I I Chen H H Cheng K K Chiavellini P P Choi O W OW Clarke S M SM Cooper L N LN Cossette M L ML Day J J DeYoung J J DiRocco S S Dold C C Ehmke E E EE Emmons C K CK Emmrich S S Erbay E E Erlacher-Reid C C Faulkes C G CG Ferguson S H SH Finno C J CJ Flower J E JE Gaillard J M JM Garde E E Gerber L L Gladyshev V N VN Gorbunova V V Goya R G RG Grant M J MJ Green C B CB Hales E N EN Hanson M B MB Hart D W DW Haulena M M Herrick K K Hogan A N AN Hogg C J CJ Hore T A TA Huang T T Izpisua Belmonte J C JC Jasinska A J AJ Jones G G Jourdain E E Kashpur O O Katcher H H Katsumata E E Kaza V V Kiaris H H Kobor M S MS Kordowitzki P P Koski W R WR Krützen M M Kwon S B SB Larison B B Lee S G SG Lehmann M M Lemaitre J F JF Levine A J AJ Li C C Li X X Lim A R AR Lin D T S DTS Lindemann D M DM Little T J TJ Macoretta N N Maddox D D Matkin C O CO Mattison J A JA McClure M M Mergl J J Meudt J J JJ Montano G A GA Mozhui K K Munshi-South J J Naderi A A Nagy M M Narayan P P Nathanielsz P W PW Nguyen N B NB Niehrs C C O'Brien J K JK O'Tierney Ginn P P Odom D T DT Ophir A G AG Osborn S S Ostrander E A EA Parsons K M KM Paul K C KC Pellegrini M M Peters K J KJ Pedersen A B AB Petersen J L JL Pietersen D W DW Pinho G M GM Plassais J J Poganik J R JR Prado N A NA Reddy P P Rey B B Ritz B R BR Robbins J J Rodriguez M M Russell J J Rydkina E E Sailer L L LL Salmon A B AB Sanghavi A A Schachtschneider K M KM Schmitt D D Schmitt T T Schomacher L L Schook L B LB Sears K E KE Seifert A W AW Seluanov A A Shafer A B A ABA Shanmuganayagam D D Shindyapina A V AV Simmons M M Singh K K Sinha I I Slone J J Snell R G RG Soltanmaohammadi E E Spangler M L ML Spriggs M C MC Staggs L L Stedman N N Steinman K J KJ Stewart D T DT Sugrue V J VJ Szladovits B B Takahashi J S JS Takasugi M M Teeling E C EC Thompson M J MJ Van Bonn B B Vernes S C SC Villar D D Vinters H V HV Wallingford M C MC Wang N N Wayne R K RK Wilkinson G S GS Williams C K CK Williams R W RW Yang X W XW Yao M M Young B G BG Zhang B B Zhang Z Z Zhao P P Zhao Y Y Zhou W W Zimmermann J J Ernst J J Raj K K Horvath S S
Nature aging 20230810 9
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 mo ...[more]