Multi-omics analyses reveal bacteria and catalase associated with keloid disease.

ABSTRACT:

Background

The pathology of keloid and especially the roles of bacteria on it were not well understood.

Methods

In this study, multi-omics analyses including microbiome, metaproteomics, metabolomic, single-cell transcriptome and cell-derived xenograft (CDX) mice model were used to explore the roles of bacteria on keloid disease.

Findings

We found that the types of bacteria are significantly different between keloid and healthy skin. The 16S rRNA sequencing and metaproteomics showed that more catalase (CAT) negative bacteria, Clostridium and Roseburia existed in keloid compared with the adjacent healthy skin. In addition, protein mass spectrometry shows that CAT is one of the differentially expressed proteins (DEPs). Overexpression of CAT inhibited the proliferation, m

SUBMITTER: Shan M 

PROVIDER: S-EPMC10749884 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature