Highly Accurate Skin-specific Methylome Analysis Algorithm As a Platform to Screen and Validate Therapeutics for Healthy Aging

Overview

Journal Clin Epigenetics

Publisher Biomed Central

Specialty Genetics

Date 2020 Jul 15

PMID 32660606

Citations 22

Authors

Mariana Boroni

Alessandra Zonari

Carolina Reis de Oliveira

Kallie Alkatib

Edgar Andres Ochoa Cruz

Lear E Brace

Juliana Lott de Carvalho

Affiliations

Soon will be listed here.

Abstract

Background: DNA methylation (DNAm) age constitutes a powerful tool to assess the molecular age and overall health status of biological samples. Recently, it has been shown that tissue-specific DNAm age predictors may present superior performance compared to the pan- or multi-tissue counterparts. The skin is the largest organ in the body and bears important roles, such as body temperature control, barrier function, and protection from external insults. As a consequence of the constant and intimate interaction between the skin and the environment, current DNAm estimators, routinely trained using internal tissues which are influenced by other stimuli, are mostly inadequate to accurately predict skin DNAm age.

Results: In the present study, we developed a highly accurate skin-specific DNAm age predictor, using DNAm data obtained from 508 human skin samples. Based on the analysis of 2,266 CpG sites, we accurately calculated the DNAm age of cultured skin cells and human skin biopsies. Age estimation was sensitive to the biological age of the donor, cell passage, skin disease status, as well as treatment with senotherapeutic drugs.

Conclusions: This highly accurate skin-specific DNAm age predictor constitutes a holistic tool that will be of great use in the analysis of human skin health status/molecular aging, as well as in the analysis of the potential of established and novel compounds to alter DNAm age.

Citing Articles

Epigenetic Regulatory Processes Involved in the Establishment and Maintenance of Skin Homeostasis-The Role of Microbiota.

Szabo K, Balogh F, Romhanyi D, Erdei L, Toldi B, Gyulai R Int J Mol Sci. 2025; 26(2).

PMID: 39859154 PMC: 11764776. DOI: 10.3390/ijms26020438.

Epigenetic Modifications and the Role of Medical Lasers in Enhancing Skin Regeneration.

Haykal D, Will F, Cartier H, Dahan S J Cosmet Dermatol. 2025; 24(1):e16780.

PMID: 39760191 PMC: 11701879. DOI: 10.1111/jocd.16780.

Insights to aging prediction with AI based epigenetic clocks.

Levy J, Diallo A, Saldias Montivero M, Gabbita S, Salas L, Christensen B Epigenomics. 2024; 17(1):49-57.

PMID: 39584810 PMC: 11703013. DOI: 10.1080/17501911.2024.2432854.

Genetic effects on the skin methylome in healthy older twins.

Shore C, Villicana S, El-Sayed Moustafa J, Roberts A, Gunn D, Bataille V Am J Hum Genet. 2024; 111(9):1932-1952.

PMID: 39137780 PMC: 11393713. DOI: 10.1016/j.ajhg.2024.07.010.

The Gut and Skin Microbiome and Its Association with Aging Clocks.

Min M, Egli C, Sivamani R Int J Mol Sci. 2024; 25(13).

PMID: 39000578 PMC: 11242811. DOI: 10.3390/ijms25137471.

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