ArticleGenome biology2016
Epigenetic assimilation in the aging human brain.
Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 55 citations in OpenAlex.
- Pluripotent stem cells-based neural organoids for modelling human brain development and diseases.Cell & bioscience · 2025Review
- Impacts of systemic milieu on cerebrovascular and brain aging: insights from heterochronic parabiosis, blood exchange, and plasma transfer experiments.GeroScience · 2025Review
- Epigenetic pharmacology in aging: from mechanisms to therapies for age-related disorders.Frontiers in pharmacology · 2025Review
- Article
- Aging, Neurodegenerative Disorders, and Cerebellum.International journal of molecular sciences · 2024Review
- Transcriptomics for Clinical and Experimental Biology Research: Hang on a Seq.Advanced genetics (Hoboken, N.J.) · 2023Review
- Mechanisms Underlying Brain Aging Under Normal and Pathological Conditions.Neuroscience bulletin · 2023Review
- Making sense of the ageing methylome.Nature reviews. Genetics · 2022Review
- Schizophrenia-associated differential DNA methylation in brain is distributed across the genome and annotated to MAD1L1, a locus at which DNA methylation and transcription phenotypes share genetic variation with schizophrenia risk.Translational psychiatry · 2022Article
- Origins of human disease: the chrono-epigenetic perspective.Nature reviews. Genetics · 2021Review
- Therapeutic Targeting of Histone Deacetylation to Prevent Alzheimer's Disease.eMedical research · 2021Article
- Epigenetic Mechanisms of Learning and Memory: Implications for Aging.International journal of molecular sciences · 2020Review
- Nutritional Epigenomics and Age-Related Disease.Current developments in nutrition · 2020Article
- Article
- The widespread increase in inter-individual variability of gene expression in the human brain with age.Aging · 2019Article
- DNA methylation in the human frontal cortex reveals a putative mechanism for age-by-disease interactions.Translational psychiatry · 2019Article
- Dynamic Changes of DNA Methylation and Transcriptome Expression in Porcine Ovaries during Aging.BioMed research international · 2019Article
- Entanglement of Genetics and Epigenetics in Parkinson's Disease.Frontiers in neuroscience · 2019Review
- Aging and Alzheimer's disease: Comparison and associations from molecular to system level.Aging cell · 2018Review
- DNA methylation of TOMM40-APOE-APOC2 in Alzheimer's disease.Journal of human genetics · 2018Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 3 countries.
Funding
Abstract
backgroundEpigenetic drift progressively increases variation in DNA modification profiles of aging cells, but the finale of such divergence remains elusive. In this study, we explored the dynamics of DNA modification and transcription in the later stages of human life.
resultsWe find that brain tissues of older individuals (>75 years) become more similar to each other, both epigenetically and transcriptionally, compared with younger individuals. Inter-individual epigenetic assimilation is concurrent with increasing similarity between the cerebral cortex and the cerebellum, which points to potential brain cell dedifferentiation. DNA modification analysis of twins affected with Alzheimer's disease reveals a potential for accelerated epigenetic assimilation in neurodegenerative disease. We also observe loss of boundaries and merging of neighboring DNA modification and transcriptomic domains over time.
conclusionsAge-dependent epigenetic divergence, paradoxically, changes to convergence in the later stages of life. The newly described phenomena of epigenetic assimilation and tissue dedifferentiation may help us better understand the molecular mechanisms of aging and the origins of diseases for which age is a risk factor.
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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.