ArticleAging2024
Cell-type specific epigenetic clocks to quantify biological age at cell-type resolution.
Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis 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
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A cell-type-resolved meta-analysis reveals glial DNA methylation changes associated with aging and Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Pooled it
- Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026Review
- Biological Versus Technical Reliability of Epigenetic Clocks and Implications for Disease Prognosis and Intervention Response.Aging cell · 2026Article
- Review
- The OmniAge compendium of aging omic biomarkers links mitotic clocks to clonal hematopoiesis and causality.Nature communications · 2026Article
- From aging to Alzheimer's disease: concordant brain DNA methylation changes in late life.Genome medicine · 2026Article
- DNA methylation-based immune cell profiling in mouse blood using MouseRS-CMD.Genome biology · 2026Article
- Plasma proteomic signatures of cellular aging predict human disease.Nature medicine · 2026Article
- Foundations of Gerophysics.Aging · 2026Article
- From whole-body to organ-specific biological age clocks.Nature aging · 2026Review
- Hematopoietic Aging and Leukemia: Mechanistic and Therapeutic Insights.International journal of molecular sciences · 2026Review
- Article
- Epigenetic adaptation of beta cells across lifespan and disease.Nature metabolism · 2026Article
- Biological aging across the metabolic dysfunction-associated steatotic liver disease spectrum: A systematic review.iLIVER · 2026Review
- Epigenetic Clocks, Resilience, and Multi-Omics Ageing: A Review and the EpiAge-R Conceptual Framework.International journal of molecular sciences · 2026Review
- Cellular Aging Signatures in the Plasma Proteome Record Human Health and Disease.bioRxiv : the preprint server for biology · 2026Article
- Astrocyte epigenetics in development, aging, and neurodegeneration: a DNA methylation perspective.Frontiers in molecular neuroscience · 2026Review
- Epigenetic and microbiome responses to greens supplementation in obese older adults: results from a randomized crossover-controlled trial.Frontiers in nutrition · 2026Article
- Human Brain Cell-Type-Specific Aging Clocks Based on Single-Nuclei Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Variations in Innate Immune Cell Subtypes Correlate with Epigenetic Clocks, Inflammaging and Health Outcomes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ability to accurately quantify biological age could help monitor and control healthy aging. Epigenetic clocks have emerged as promising tools for estimating biological age, yet they have been developed from heterogeneous bulk tissues, and are thus composites of two aging processes, one reflecting the change of cell-type composition with age and another reflecting the aging of individual cell-types. There is thus a need to dissect and quantify these two components of epigenetic clocks, and to develop epigenetic clocks that can yield biological age estimates at cell-type resolution. Here we demonstrate that in blood and brain, approximately 39% and 12% of an epigenetic clock's accuracy is driven by underlying shifts in lymphocyte and neuronal subsets, respectively. Using brain and liver tissue as prototypes, we build and validate neuron and hepatocyte specific DNA methylation clocks, and demonstrate that these cell-type specific clocks yield improved estimates of chronological age in the corresponding cell and tissue-types. We find that neuron and glia specific clocks display biological age acceleration in Alzheimer's Disease with the effect being strongest for glia in the temporal lobe. Moreover, CpGs from these clocks display a small but significant overlap with the causal DamAge-clock, mapping to key genes implicated in neurodegeneration. The hepatocyte clock is found accelerated in liver under various pathological conditions. In contrast, non-cell-type specific clocks do not display biological age-acceleration, or only do so marginally. In summary, this work highlights the importance of dissecting epigenetic clocks and quantifying biological age at cell-type resolution.
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.