ArticleAging2015
The cerebellum ages slowly according to the epigenetic clock.
Article in Aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
116 citing papers in PubMed, 3 syntheses or guidelines pooled it, 197 citations in OpenAlex.
- Entorhinal cortex epigenome-wide association study highlights four novel loci showing differential methylation in Alzheimer's disease.Alzheimer's research & therapy · 2023Pooled it
- A Meta-Analysis of Brain DNA Methylation Across Sex, Age, and Alzheimer's Disease Points for Accelerated Epigenetic Aging in Neurodegeneration.Frontiers in aging neuroscience · 2021Pooled it
- DNA methylation-based measures of biological age: meta-analysis predicting time to death.Aging · 2016Pooled it
- Biological Aging, Immune Phenotypes, and Susceptibility to COVID-19 and Sepsis: A Mendelian Randomization Study.Virus research · 2026Article
- Age-associated DNA methylation patterns in mouse blood and tail: feasibility of tissue-specific epigenetic clock development.GeroScience · 2026Article
- From aging to Alzheimer's disease: concordant brain DNA methylation changes in late life.Genome medicine · 2026Article
- Long-term maintenance of H3K27me3 in postmitotic neurons is dispensable for gene expression regulation.bioRxiv : the preprint server for biology · 2026Article
- A robust computational framework for methylation age and disease-risk prediction based on pairwise learning.Nature computational science · 2026Article
- Social support and epigenetic aging at the intersections of race, ethnicity, and gender: findings from NHANES 1999-2002.SSM - population health · 2026Article
- Human Brain Cell-Type-Specific Aging Clocks Based on Single-Nuclei Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Co-detection of mutations and methylations in cerebrospinal fluid ctdna for minimally-invasive diagnosis of brainstem glioma.Journal of experimental & clinical cancer research : CR · 2025Article
- Epigenetic clocks and DNA methylation biomarkers of brain health and disease.Nature reviews. Neurology · 2025Review
- Microglia Single-Cell RNA-Seq Enables Robust and Applicable Markers of Biological Aging.Aging cell · 2025Article
- Epigenetic ageing clocks: statistical methods and emerging computational challenges.Nature reviews. Genetics · 2025Review
- Quantification of Epigenetic Aging in Public Health.Annual review of public health · 2025Review
- GABA, Glx, and GSH in the cerebellum: their role in motor performance and learning across age groups.Frontiers in aging neuroscience · 2025Article
- Leveraging Single-Cell RNA-Seq to Generate Robust Microglia Aging Clocks.bioRxiv : the preprint server for biology · 2024Article
- Dissecting the impact of differentiation stage, replicative history, and cell type composition on epigenetic clocks.Stem cell reports · 2024Article
- Epigenetics in Alzheimer's Disease: A Critical Overview.International journal of molecular sciences · 2024Review
- Consensus Paper: Cerebellum and Ageing.Cerebellum (London, England) · 2024Review
56 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.