Human skin metagenome
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR170322_1.fastq.gz | Fastqsanger.gz | |||
| DRR170322_2.fastq.gz | Fastqsanger.gz | |||
| DRR170323_1.fastq.gz | Fastqsanger.gz | |||
| DRR170323_2.fastq.gz | Fastqsanger.gz | |||
| DRR170324_1.fastq.gz | Fastqsanger.gz |
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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.
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Project description:<p>Studies have emphasized the importance of disease-associated microorganisms in perturbed communities, however, the protective roles of commensals are largely under recognized and poorly understood. Using acne as a model disease, we investigated the determinants of the overall virulence property of the skin microbiota when disease- and health-associated organisms coexist in the community. By ultra-deep metagenomic shotgun sequencing, we revealed higher relative abundances of propionibacteria and Propionibacterium acnes phage in healthy skin. In acne patients, the microbiome composition at the species level and at P. acnes strain level was more diverse than in healthy individuals, with enriched virulence-associated factors and reduced abundance of metabolic synthesis genes. Based on the abundance profiles of the metagenomic elements, we constructed a quantitative prediction model, which classified the clinical states of the host skin with high accuracy in both our study cohort (85%) and an independent sample set (86%). Our results suggest that the balance between metagenomic elements, not the mere presence of disease-associated strains, shapes the overall virulence property of the skin microbiota. This study provides new insights into the microbial mechanism of acne pathogenesis and suggests probiotic and phage therapies as potential acne treatments to modulate the skin microbiota and to maintain skin health.</p>
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Project description:Microbes are fascinating molecular machines which can be equipped with synthetic genetic programs that allow them to produce therapeutic molecules targeted on demand upon disease sensing. Cutibacterium acnes engraftment capacity and its living habitat close to important pharmacological targets makes it an attractive chassis to create skin-delivered therapeutics. Here, we report the engineering of this bacterium, the most abundant commensal of the human skin, to produce and secrete the therapeutic molecule neutrophil gelatinase-associated lipocalin in vivo, known to modulate cutaneous sebum production.
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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.
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Project description:Smart Skin Cutibacterium acnes Probotic
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Project description:The pathogenesis of acne has been linked to multiple factors such as increased sebum production, inflammation, follicular hyperkeratinization, and the action of Propionibacterium acnes within the follicle. 13-cis Retinoic Acid (13-cis RA, isotretinoin) is the most potent agent in acne treatment. Surprisingly, its mechanism of action in acne is still unknown. Gene expression profiling of skin from 8 patients treated with isotretinoin was performed to gain insights into its mechanism of action. Skin biopsies were obtained from the patients at baseline and at 8 weeks isotretinoin treatment. Gene array expression profiling was conducted using Affymetrix HG-U133A 2.0 arrays in order to examine changes in gene expression as a result of treatment. After treatment, 784 genes were significantly changed: 197 up-regulated and 587 down-regulated. The majority of genes that were up-regulated at 8 weeks encode structural proteins of the extracellular matrix such as collagens, fibulin and fibronectin. The preponderance of genes that were down-regulated at 8 weeks are involved in the metabolism of steroids, cholesterol and fatty acids. Keywords: drug treatment effects
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Project description:The pathogenesis of acne has been linked to multiple factors such as increased sebum production, inflammation, follicular hyperkeratinization, and the action of Propionibacterium acnes within the follicle. 13-cis Retinoic Acid (13-cis RA, isotretinoin) is the most potent agent in acne treatment. Surprisingly, its mechanism of action in acne is still unknown. Gene expression profiling of skin from 6 patients treated with isotretinoin was performed to gain insights into its mechanism of action. Skin biopsies were obtained from the patients at baseline and at one-week isotretinoin treatment. Gene array expression profiling was conducted using Affymetrix HG-U133A 2.0 arrays in order to examine changes in gene expression as a result of treatment. After treatment, 43 genes were significantly changed: 38 up-regulated and 5 down-regulated. A significant proportion of these genes are involved in pathways that regulate differentiation, tumor suppression, serine proteases, serine protease inhibitors and solute transfer. These studies are the first describing the initial changes in gene expression associated with isotretinoin therapy and are valuable in identifying potential therapeutic targets in acne. Keywords: drug treatment effects
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