Agata Bienkowska, G. Raddatz, Jörn Söhle, Boris Kristof, Henry Völzke, Stefan Gallinat, F. Lyko, Lars Kaderali, M. Winnefeld, E. Grönniger, C. Falckenhayn
{"title":"Development of an epigenetic clock to predict visual age progression of human skin","authors":"Agata Bienkowska, G. Raddatz, Jörn Söhle, Boris Kristof, Henry Völzke, Stefan Gallinat, F. Lyko, Lars Kaderali, M. Winnefeld, E. Grönniger, C. Falckenhayn","doi":"10.3389/fragi.2023.1258183","DOIUrl":"https://doi.org/10.3389/fragi.2023.1258183","url":null,"abstract":"Aging is a complex process characterized by the gradual decline of physiological functions, leading to increased vulnerability to age-related diseases and reduced quality of life. Alterations in DNA methylation (DNAm) patterns have emerged as a fundamental characteristic of aged human skin, closely linked to the development of the well-known skin aging phenotype. These changes have been correlated with dysregulated gene expression and impaired tissue functionality. In particular, the skin, with its visible manifestations of aging, provides a unique model to study the aging process. Despite the importance of epigenetic age clocks in estimating biological age based on the correlation between methylation patterns and chronological age, a second-generation epigenetic age clock, which correlates DNAm patterns with a particular phenotype, specifically tailored to skin tissue is still lacking. In light of this gap, we aimed to develop a novel second-generation epigenetic age clock explicitly designed for skin tissue to facilitate a deeper understanding of the factors contributing to individual variations in age progression. To achieve this, we used methylation patterns from more than 370 female volunteers and developed the first skin-specific second-generation epigenetic age clock that accurately predicts the skin aging phenotype represented by wrinkle grade, visual facial age, and visual age progression, respectively. We then validated the performance of our clocks on independent datasets and demonstrated their broad applicability. In addition, we integrated gene expression and methylation data from independent studies to identify potential pathways contributing to skin age progression. Our results demonstrate that our epigenetic age clock, VisAgeX, specifically predicting visual age progression, not only captures known biological pathways associated with skin aging, but also adds novel pathways associated with skin aging.","PeriodicalId":505028,"journal":{"name":"Frontiers in Aging","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139533432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tyler Myers, Amina Bouslimani, Shi Huang, Shalisa Hansen, Cécile Clavaud, A. Azouaoui, Alban Ott, Audrey Gueniche, C. Bouez, Qian Zheng, Luc Aguilar, Rob Knight, Magali Moreau, Se Jin Song
{"title":"A multi-study analysis enables identification of potential microbial features associated with skin aging signs","authors":"Tyler Myers, Amina Bouslimani, Shi Huang, Shalisa Hansen, Cécile Clavaud, A. Azouaoui, Alban Ott, Audrey Gueniche, C. Bouez, Qian Zheng, Luc Aguilar, Rob Knight, Magali Moreau, Se Jin Song","doi":"10.3389/fragi.2023.1304705","DOIUrl":"https://doi.org/10.3389/fragi.2023.1304705","url":null,"abstract":"Introduction: During adulthood, the skin microbiota can be relatively stable if environmental conditions are also stable, yet physiological changes of the skin with age may affect the skin microbiome and its function. The microbiome is an important factor to consider in aging since it constitutes most of the genes that are expressed on the human body. However, severity of specific aging signs (one of the parameters used to measure “apparent” age) and skin surface quality (e.g., texture, hydration, pH, sebum, etc.) may not be indicative of chronological age. For example, older individuals can have young looking skin (young apparent age) and young individuals can be of older apparent age.Methods: Here we aim to identify microbial taxa of interest associated to skin quality/aging signs using a multi-study analysis of 13 microbiome datasets consisting of 16S rRNA amplicon sequence data and paired skin clinical data from the face.Results: We show that there is a negative relationship between microbiome diversity and transepidermal water loss, and a positive association between microbiome diversity and age. Aligned with a tight link between age and wrinkles, we report a global positive association between microbiome diversity and Crow’s feet wrinkles, but with this relationship varying significantly by sub-study. Finally, we identify taxa potentially associated with wrinkles, TEWL and corneometer measures.Discussion: These findings represent a key step towards understanding the implication of the skin microbiota in skin aging signs.","PeriodicalId":505028,"journal":{"name":"Frontiers in Aging","volume":"36 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139534104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}