Project description:Recently the membrane vesicles (MVs) production has been observed in Gram-positive bacterium, Cutibacterium acnes (C. acnes). In order to explore the mechanism of antibiotic resistance and the virulent components within the C. acnes-derived MVs, we isolated MVs from the clinical C. acnes, which were sensitive or resistant to antibiotics erythromycin and clindamycin. With the LC-MS/MS method, we detected several lipases, virulent factors and cell division protein differentially expressed between the sensitive and the resistant C. acnes-derived MVs.
Project description:Cutibacterium acnes (C. acnes) is a ubiquitous skin commensal bacterium that is generally well tolerated by the immune system. Different strain-types of C. acnes have been reported to be enriched on patients with acne. To understand if these strain-types contribute to skin inflammation, we generated a library of over 200 C. acnes isolates from skin swabs of healthy and acne subjects and assessed their strain-level identity and inflammatory potential. Phylotype II K-type strains were more frequent on healthy and acne non-lesional skin compared to lesional. Phylotype IA-1 C-type strains were dominant on acne lesional skin but absent from healthy. Measurement of host cytokine responses from C. acnes supernatant revealed neither strain-type nor skin-type association predicted inflammatory potential. However, differential proinflammatory responses were induced from identical strain-types, but these differences were not attributable to protease, short chain fatty acid or porphyrin production. Instead, whole genome sequencing revealed the presence of a linear plasmid in high inflammatory strain-types. Intradermal injection of C. acnes in mouse skin revealed a plasmid-associated inflammatory response in dermal fibroblasts, revealed by single-cell RNA sequencing. We conclude that C. acnes strain-type is not sufficient to predict inflammation but other virulence factors including a plasmid may contribute to disease.
Project description:The pathogenesis of acne vulgaris is multifactorial and is influenced by the presence of Cutibacterium acnes. This study investigated how different strains of C. acnes, associated with either healthy skin (CH) or acne-prone skin (CA), selectively modulate the function of three dendritic cell (DC) subtypes: Langerhans cell-derived (LCDC), monocyte-derived (moDCs), and myeloid (mDCs). Our findings revealed that all DC subtypes secreted varying levels of TGF-β, IL-1β, IL-6, IL-12p70, and IL-23 in response to C. acnes stimulation. Notably, moDCs exhibited the highest cytokine secretion in response to CA-ribotypes, indicating their potent immune responsiveness. Conversely, LCDCs were the least responsive, regardless of the ribotypes. Principal component (PCA) and gene ontology (GO) analysis of bulk RNA sequencing data of DCs exposed to C. acnes identified extensive transcriptional changes, particularly in immune response pathways. moDCs showed the most pronounced transcriptional changes, aligning with their high cytokine secretion levels. Additionally, we identified specific genes upregulated by CA-ribotypes, with notable differences among the DC types, highlighting the unique contributions of each DC subtype to the skin's immune defense mechanisms against C. acnes. Overall, our study underscores the complexity of DC responses in the skin's immune environment and provides valuable insights into their roles in acne.
Project description:The importance of the impact of human hormones on commensal microbiota and microbial biofilms is established in lots of studies. In the present investigation, we studied the proteome of biofilms and planktonic cultures of skin actinobacterium Cutibacterium acnes. In our investigation, we tested the effect of epinephrine in concentrations 5 nM (normal blood level) and 5 µM (1000-fold higher) on 72 h biofilms and planktonic cultures in comparison with controls without the hormone administration. Also, we compared the samples treated with epinephrine in different concentrations. Also, we investigated the differences between planktonic cultures and biofilms and how the hormone influences those differences. The present database contains the raw data of proteins changes in their concentrations in described conditions.
