ArticleAging cell2025
Cross-tissue comparison of epigenetic aging clocks in humans.
Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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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.
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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.
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Who cites it
27 citing papers in PubMed.
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- Trial
- Differential DNA methylation clock ages across buffy coat (BC), peripheral blood mononuclear cells (PBMC), and saliva in individuals in early-to-mid adulthood.Epigenetics · 2026Article
- DNA methylation-derived age acceleration reveals neurodevelopmental and stress-linked pathways in depression and suicide.Journal of affective disorders · 2026Article
- Residential exposure to deadly gun violence and accelerated biological aging in a national sample of U.S. adolescents.SSM - population health · 2026Article
- Natural-Product-Derived Antioxidants and DNA Methylation-Based Epigenetic Aging: A Systematic Review of Human Intervention Studies.Antioxidants (Basel, Switzerland) · 2026Review
- Article
- Maternal biological aging from pregnancy through four years postpartum with disrupted recovery by subsequent pregnancy.iScience · 2026Article
- Article
- The aging paradox of Cushing's syndrome: Stress without clear senescence?Journal of neuroendocrinology · 2026Review
- The gut microbiome and ageing trajectories: mechanisms and clinical implications.Nature reviews. Endocrinology · 2026Review
- Epigenetic age acceleration measures and chemotoxicity in older adults with early breast cancer.GeroScience · 2026Article
- Refining the Role of Epigenetic Age Acceleration in Cardiotoxicity Research.JACC. CardioOncology · 2026Article
- WMRE2030: integrating wearable devices, multi-omics, and artificial intelligence-driven real-time feedback into a daily-scale closed-loop framework for a new era of precision exercise.Frontiers in physiology · 2026Review
- From skin aging biomarkers to precision esthetic longevity: a translational diagnostic framework.Frontiers in medicine · 2026Article
- From population science to the clinic? Limits of epigenetic clocks as personal biomarkers.Epigenomics · 2025Article
- Association of systemic immune-inflammation index (SII) with epigenetic age acceleration in adults: insights from NHANES.Epigenetics · 2025Article
- Reprogramming cellular senescence and aging clocks for advanced cancer immunotherapy.Molecular cancer · 2025Review
- Associations among prenatal stress, socioeconomic status, and infant epigenetic aging.Psychoneuroendocrinology · 2025Article
- Differential methylation clock ages across buffy coat (BC), peripheral blood mononuclear cells (PBMC), and saliva in individuals approaching midlife.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Epigenetic clocks are a common group of tools used to measure biological aging-the progressive deterioration of cells, tissues, and organs. Epigenetic clocks have been trained almost exclusively using blood-based tissues, but there is growing interest in estimating epigenetic age using less-invasive oral-based tissues (i.e., buccal or saliva) in both research and commercial settings. However, differentiated cell types across body tissues exhibit unique DNA methylation landscapes and age-related alterations to the DNA methylome. Applying epigenetic clocks derived from blood-based tissues to estimate epigenetic age of oral-based tissues may introduce biases. We tested the within-person comparability of common epigenetic clocks across five tissue types: buccal epithelial, saliva, dry blood spots, buffy coat (i.e., leukocytes), and peripheral blood mononuclear cells. We tested 284 distinct tissue samples from 83 individuals aged 9-70 years. Overall, there were significant within-person differences in epigenetic clock estimates from oral-based versus blood-based tissues, with average differences of almost 30 years observed in some age clocks. In addition, most epigenetic clock estimates of blood-based tissues exhibited low correlation with estimates from oral-based tissues despite controlling for cellular proportions and other technical factors. Notably, the Skin and Blood clock exhibited the greatest concordance across all tissue types, indicating its unique ability to estimate chronological age in oral- and blood-based tissues. Our findings indicate that application of blood-derived epigenetic clocks in oral-based tissues may not yield comparable estimates of epigenetic age, highlighting the need for careful consideration of tissue type when estimating epigenetic age.
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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.