2022
Epigenetic aging of the demographically non-aging naked mole-rat
Kerepesi C, Meer MV, Ablaeva J, Amoroso VG, Lee SG, Zhang B, Gerashchenko MV, Trapp A, Yim SH, Lu AT, Levine ME, Seluanov A, Horvath S, Park TJ, Gorbunova V, Gladyshev VN. Epigenetic aging of the demographically non-aging naked mole-rat. Nature Communications 2022, 13: 355. PMID: 35039495, PMCID: PMC8763950, DOI: 10.1038/s41467-022-27959-9.Peer-Reviewed Original Research
2020
A rat epigenetic clock recapitulates phenotypic aging and co-localizes with heterochromatin
Levine M, McDevitt RA, Meer M, Perdue K, Di Francesco A, Meade T, Farrell C, Thrush K, Wang M, Dunn C, Pellegrini M, de Cabo R, Ferrucci L. A rat epigenetic clock recapitulates phenotypic aging and co-localizes with heterochromatin. ELife 2020, 9: e59201. PMID: 33179594, PMCID: PMC7661040, DOI: 10.7554/elife.59201.Peer-Reviewed Original ResearchConceptsTranscriptional factor bindingNovel epigenetic clockEpigenetic signalsIntergenic regionEpigenetic age measuresDNA methylationFactor bindingSequencing dataEpigenetic clocksBiochemical advantagesNetwork analysisH3K9me3H3K27me3HeterochromatinCaloric restrictionRobust biomarkersSubstantial overlapMethylationPhenotypicCpGDNAmAgeBindingMiceClockUnderlying features of epigenetic aging clocks in vivo and in vitro
Liu Z, Leung D, Thrush K, Zhao W, Ratliff S, Tanaka T, Schmitz LL, Smith JA, Ferrucci L, Levine ME. Underlying features of epigenetic aging clocks in vivo and in vitro. Aging Cell 2020, 19: e13229. PMID: 32930491, PMCID: PMC7576259, DOI: 10.1111/acel.13229.Peer-Reviewed Original ResearchConceptsEpigenetic clocksTranscriptional associationsTissues/cellsHuman tissues/cellsEpigenetic aging clockMultiple tissues/cellsDifferent biological processesMulti-omics analysisDNA methylation dataMulti-omics dataBiological processesMethylation dataAging clockMitochondrial dysfunctionEpigenetic agingBiological agingClockHallmarkCellsSenescenceAutophagyStriking lackPathwayCpGMetabolism
2017
Eleven Telomere, Epigenetic Clock, and Biomarker-Composite Quantifications of Biological Aging: Do They Measure the Same Thing?
Belsky DW, Moffitt TE, Cohen AA, Corcoran DL, Levine ME, Prinz JA, Schaefer J, Sugden K, Williams B, Poulton R, Caspi A. Eleven Telomere, Epigenetic Clock, and Biomarker-Composite Quantifications of Biological Aging: Do They Measure the Same Thing? American Journal Of Epidemiology 2017, 187: 1220-1230. PMID: 29149257, PMCID: PMC6248475, DOI: 10.1093/aje/kwx346.Peer-Reviewed Original Research
2016
Genetic variants near MLST8 and DHX57 affect the epigenetic age of the cerebellum
Lu AT, Hannon E, Levine ME, Hao K, Crimmins EM, Lunnon K, Kozlenkov A, Mill J, Dracheva S, Horvath S. Genetic variants near MLST8 and DHX57 affect the epigenetic age of the cerebellum. Nature Communications 2016, 7: 10561. PMID: 26830004, PMCID: PMC4740877, DOI: 10.1038/ncomms10561.Peer-Reviewed Original ResearchConceptsWide association studyCis-acting effectsDNA methylation levelsAge-related diseasesGWAS analysisSignificant SNPsGene setsMLST8Association studiesEpigenetic clocksMethylation levelsEpigenetic biomarkersGenetic variantsExpression levelsSNPsUnderstanding agingEpigenetic ageTissue ageCerebellar samplesSignificant overlapGWASLociAlzheimer's diseaseClockVariants