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

eBioMedicineeBioMedicineVolume 99, January 2024, 104904Journal home page for eBioMedicineAuthor links open overlay panel, , , , , , , , , , , , , , , , , , , …SummaryBackground

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, migration and invasion of keloid fibroblasts, and these characteristics were opposite when CAT was knocked down. Furthermore, the CDX model showed that Clostridium butyricum promote the growth of patient's keloid fibroblasts in BALB/c female nude mice, while CAT positive bacteria Bacillus subtilis inhibited it. Single-cell RNA sequencing verified that oxidative stress was up-regulated and CAT was down-regulated in mesenchymal-like fibroblasts of keloid.

Interpretation

In conclusion, our findings suggest that bacteria and CAT contribute to keloid disease.

Funding

A full list of funding bodies that contributed to this study can be found in the Acknowledgements section.

Keywords

Keloid

Bacteria

Catalase

16S rRNA

Metaproteomics

© 2023 The Authors. Published by Elsevier B.V.

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