Journal Article Ppublish 2 citations
PubMed: 38326105 DOI: 10.1021/jasms.3c00315
Predicting Chronological Age via the Skin Volatile Profile.
J Am Soc Mass Spectrom 35(3):421-432
Authors: Melissa Finnegan, Shane Fitzgerald, Romain Duroux, Joan Attia, Emma Markey, David O'Connor, Aoife Morrin
Affiliations
- School of Chemical Sciences, Insight SFI Research Centre for Data Analytics, National Centre for Sensor Research, Dublin City University, Dublin D09 V209, Ireland.
- IFF-Lucas Meyer Cosmetics, Toulouse, Cedex 1, 31036, France.
Abstract
Skin volatile emissions offer a noninvasive insight into metabolic activity within the body as well as the skin microbiome and specific volatile compounds have been shown to correlate with age, albeit only in a few small studies. Building on this, here skin volatiles were collected and analyzed in a healthy participant study ( = 60) using a robust headspace-solid phase microextraction (HS-SPME) gas chromatography-mass spectrometry (GC-MS) workflow. Following processing, 18 identified compounds were deemed suitable for this study. These were classified according to gender influences and their correlations with age were investigated. Finally, 6 volatiles (of both endogenous and exogenous origin) were identified as significantly changing in abundance with participant age ( < 0.1). The potential origins of these dysregulations are discussed. Multiple linear regression (MLR) analysis was employed to model age based on these significant volatiles as independent variables, along with gender. Our analysis shows that skin volatiles show a strong predictive ability for age (explained variance of 68%), stronger than other biochemical measures collected in this study (skin surface pH, water content) which are understood to vary with chronological age. Overall, this work provides new insights into the impact of aging on the skin volatile profiles which comprises both endogenously and exogenously derived volatile compounds. It goes toward demonstrating the biological significance of skin volatiles and will help pave the way for more rigorous consideration of the healthy "baseline" skin volatile profile in volatilomics-based health diagnostics development going forward.
MeSH
Skin, Work