Cross‐tissue comparison of epigenetic aging clocks in humans

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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Publication Details

Journal
Aging Cell
Published
2025-01-09
DOI
https://doi.org/10.1111/acel.14451
Citations
23
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
17.73

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article

Cross‐tissue comparison of epigenetic aging clocks in humans

Avshalom Caspi, Christopher Chiaro, Christine C. Heim, Hannah M. C. Schreier et al.
23 citations
Aging Cell
Epigenetics and DNA Methylation
17.73
article

Cross‐tissue comparison of epigenetic aging clocks in humans

Avshalom Caspi, Christopher Chiaro, Christine C. Heim, Hannah M. C. Schreier, Laura Etzel, Waylon J. Hastings, Jennie G. Noll, Abner T. Apsley, Qiaofeng Ye, Chad E. Shenk, Karen Sugden, Idan Shalev, John Kozlosky
article en
23 citations

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.

Aging CellVol. 24(4)
Tulane University (US), Social Science Research Council (US), Pennsylvania State University (US), Duke University (US), King's College London (GB), University of Oslo (NO), Humboldt-Universität zu Berlin (DE), University of Rochester (US), Freie Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE)
National Institute on Aging, National Institute of Child Health and Human Development, National Center for Advancing Translational Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Openalex Percentile: Top 1%
Epigenetics and DNA Methylation
17.73
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