Transcriptomics

Dataset Information

0

Metabolic alterations in aged human skin in vivo


ABSTRACT: Aging human skin undergoes significant morphological and functional changes such as wrinkle formation, reduced wound healing capacity, and altered epidermal barrier function. Besides known age-related alterations like DNA-methylation changes, metabolic adaptations have been more recently linked to impaired skin function in old humans. Understanding of these metabolic adaptations in aged skin are of special interest, because topical treatments could reverse age-dependent metabolic changes of human skin in vivo to affect age associated skin disorders. Results: We investigated the global metabolic adaptions in human skin during aging with a combined transcriptomic and metabolomic approach applied to epidermal tissue samples of young and old human volunteers. Our analysis confirmed known age-dependent metabolic alterations, e.g. reduction of coenzyme Q10 levels, and also revealed novel age effects that are seemingly important for skin maintenance. Integration of donor-matched transcriptome and metabolome data highlighted transcriptionally-driven alterations of metabolism during aging such as altered activity in upper glycolysis and glycerolipid biosynthesis or decreased protein and polyamine biosynthesis. Together, we identified several age-dependent metabolic alterations that might affect cellular signaling, epidermal barrier function, and skin structure and morphology. Conclusion: Our study provides a global resource on the metabolic adaptations and its transcriptional regulation during aging of human skin. Thus, it represents a first step towards an understanding of the impact of metabolism on impaired skin function in aged humans and therefore will potentially lead to improved treatments of age related skin disorders

ORGANISM(S): Homo sapiens

PROVIDER: GSE85358 | GEO | 2017/01/20

SECONDARY ACCESSION(S): PRJNA338267

REPOSITORIES: GEO

Similar Datasets

2019-12-31 | GSE124901 | GEO
| PRJNA338267 | ENA
2016-02-05 | E-GEOD-72264 | biostudies-arrayexpress
2011-11-11 | E-GEOD-32719 | biostudies-arrayexpress
2022-12-31 | GSE193920 | GEO
2016-02-05 | GSE72264 | GEO
2012-07-30 | E-GEOD-39170 | biostudies-arrayexpress
2022-09-20 | GSE180484 | GEO
2020-10-26 | GSE131938 | GEO
2011-11-11 | GSE32719 | GEO