Genome-scale metabolic modeling and in silico analysis of opportunistic skin pathogen Cutibacterium acnes.

ABSTRACT: Cutibacterium acnes, one of the most abundant skin microbes found in the sebaceous gland, is known to contribute to the development of acne vulgaris when its strains become imbalanced. The current limitations of acne treatment using antibiotics have caused an urgent need to develop a systematic strategy for selectively targeting C. acnes, which can be achieved by characterizing their cellular behaviors under various skin environments. To this end, we developed a genome-scale metabolic model (GEM) of virulent C. acnes, iCA843, based on the genome information of a relevant strain from ribotype 5 to comprehensively understand the pathogenic traits of C. acnes in the skin environment. We validated the model qualitatively by demonstrating its accuracy predicti

SUBMITTER: Kim SK 

PROVIDER: S-EPMC10374032 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature