The cerebellum ages slowly according to the epigenetic clock
Open Access
- 1 May 2015
- journal article
- Published by Impact Journals, LLC in Aging
- Vol. 7 (5), 294-306
- https://doi.org/10.18632/aging.100742
Abstract
Studies that elucidate why some human tissues age faster than others may shed light on how we age, and ultimately suggest what interventions may be possible. Here we utilize a recent biomarker of aging (referred to as epigenetic clock) to assess the epigenetic ages of up to 30 anatomic sites from supercentenarians (subjects who reached an age of 110 or older) and younger subjects. Using three novel and three published human DNA methylation data sets, we demonstrate that the cerebellum ages more slowly than other parts of the human body. We used both transcriptional data and genetic data to elucidate molecular mechanisms which may explain this finding. The two largest superfamilies of helicases (SF1 and SF2) are significantly over-represented (p=9.2x10-9) among gene transcripts that are over-expressed in the cerebellum compared to other brain regions from the same subject. Furthermore, SNPs that are associated with epigenetic age acceleration in the cerebellum tend to be located near genes from helicase superfamilies SF1 and SF2 (enrichment p=5.8x10-3). Our genetic and transcriptional studies of epigenetic age acceleration support the hypothesis that the slow aging rate of the cerebellum is due to processes that involve RNA helicases.Keywords
This publication has 55 references indexed in Scilit:
- The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936International Journal of Epidemiology, 2015
- Aging of blood can be tracked by DNA methylation changes at just three CpG sitesGenome Biology, 2014
- Considerations for normalization of DNA methylation data by Illumina 450K BeadChip assay in population studies.Epigenetics, 2013
- Methylation of ELOVL2 gene as a new epigenetic marker of ageAging Cell, 2012
- Comprehensive literature review and statistical considerations for GWAS meta-analysisNucleic Acids Research, 2012
- Epigenetic Predictor of AgePLOS ONE, 2011
- Common Inherited Variation in Mitochondrial Genes Is Not Enriched for Associations with Type 2 Diabetes or Related Glycemic TraitsPLoS Genetics, 2010
- Principal components analysis corrects for stratification in genome-wide association studiesNature Genetics, 2006
- Comparison of regional cerebral blood flow and glucose metabolism in the normal brain: effect of agingJournal of the Neurological Sciences, 2000
- A tandemly repeated sequence at the termini of the extrachromosomal ribosomal RNA genes in TetrahymenaJournal of Molecular Biology, 1978