Dataset Information

Evaluation of Antibacterial Drugs Using Silkworms Infected by Cutibacterium acnes.

ABSTRACT: Cutibacterium acnes is a causative agent of inflammatory skin diseases and systemic infections. Systemic infections caused by C. acnes are difficult to treat, and the development of a systemic infection model for C. acnes would be useful for elucidating the mechanisms of infection and searching for therapeutic agents. In this study, we established a silkworm infection model as a new experimental system to evaluate the interaction between C. acnes and the host, and the efficacy of antibacterial drugs. Silkworms infected with C. acnes died when reared at 37 °C. The dose of injected bacterial cells required to kill half of the silkworms (LD50) was determined under rearing conditions at 37 °C. The viable cell number of C. acnes was increased in the hemolymph and fat body of the infected silkworms. Silkworms injected with autoclaved C. acnes cells did not die during the study period. The survival time of silkworms injected with C. acnes was prolonged by the injection of antibacterial drugs such as tetracycline and clindamycin. These findings suggest that the silkworm C. acnes infection model can be used to evaluate host toxicity caused by C. acnes and the in vivo efficacy of antimicrobial drugs.

SUBMITTER: Matsumoto Y

PROVIDER: S-EPMC8303438 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

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Evaluation of Antibacterial Drugs Using Silkworms Infected by Cutibacterium acnes.

Matsumoto Yasuhiko Y Tateyama Yuki Y Sugita Takashi T

Insects 20210708 7

Cutibacterium acnes is a causative agent of inflammatory skin diseases and systemic infections. Systemic infections caused by C. acnes are difficult to treat, and the development of a systemic infection model for C. acnes would be useful for elucidating the mechanisms of infection and searching for therapeutic agents. In this study, we established a silkworm infection model as a new experimental system to evaluate the interaction between C. acnes and the host, and the ...[more]

PMID: 34357279

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Project description:Cutibacterium acnes is a human skin-resident bacterium. Although C. acnes maintains skin health by inhibiting invasion from pathogens like Staphylococcus aureus, it also contributes to several diseases, including acne. Studies suggest that differences in genetic background may explain the diverse phenotypes of C. acnes strains. In this study, we investigated the effects of C. acnes strains on the Caenorhabditis elegans life span and observed that some strains shortened the life span, whereas other strains, such as strain HL110PA4, did not alter it. Next, we assessed the effects of C. acnes HL110PA4 on host resistance against S. aureus. The survival time of C. acnes HL110PA4-fed wild-type animals was significantly longer than that of Escherichia coli OP50 control bacterium-fed worms upon infection with S. aureus. Although the survival times of worms harboring mutations at the daf-16/FoxO and skn-1/Nrf2 loci were similar to those of wild-type worms after S. aureus infection, administration of C. acnes failed to improve survival times of tir-1/SARM1, nsy-1/mitogen-activated protein kinase kinase kinase (MAPKKK), sek-1/mitogen-activated protein kinase kinase (MAPKK), and pmk-1/p38 mitogen-activated protein kinase (MAPK) mutants. These results suggest that the TIR-1 and p38 MAPK pathways are involved in conferring host resistance against S. aureus in a C. acnes-mediated manner. IMPORTANCE Cutibacterium acnes is one of the most common bacterial species residing on the human skin. Although the pathogenic properties of C. acnes, such as its association with acne vulgaris, have been widely described, its beneficial aspects have not been well characterized. Our study classifies C. acnes strains based on its pathogenic potential toward the model host C. elegans and reveals that the life span of C. elegans worms fed on C. acnes was consistent with the clinical association of C. acnes ribotypes with acne or nonacne. Furthermore, nonpathogenic C. acnes confers host resistance against the opportunistic pathogen Staphylococcus aureus. Our study provides insights into the impact of C. acnes on the host immune system and its potential roles in the ecosystem of skin microbiota.

Project description:The human skin surface harbors huge numbers of microbes. The skin microbiota interacts with its host and forms a skin microbiome profile that is specific for each individual. It has been reported that the skin microbiota that is left on an individual's possessions can act as a sort of "fingerprint" and be used for owner identification. However, this approach needs to be improved to take into account any long-term instability of skin microbiota and contamination from nonspecific bacteria. Here, we took advantage of single-nucleotide polymorphisms (SNPs) in the 16S-encoding rRNA gene of Cutibacterium acnes, the most common and abundant bacterium on human skin, to perform owner identification. We first developed a high-throughput genotyping method based on next-generation sequencing to characterize the SNPs of the C. acnes 16S rRNA gene and found that the genotype composition of C. acnes 16S rRNA is individual specific. Owner identification accuracy of around 90% based on random forest machine learning was achieved by using a combination of C. acnes 16S rRNA genotype and skin microbiome profile data. Furthermore, our study showed that the C. acnes 16S rRNA genotype remained more stable over time than the skin microbiome profile. This characteristic of C. acnes was further confirmed by the analysis of publicly available human skin metagenome data. Our approach, with its high precision, good reproducibility, and low costs, thus provides new possibilities in the field of microbiome-based owner identification and forensics in general.IMPORTANCECutibacterium acnes is the most common and abundant bacterial species on human skin, and the gene that encodes its 16S rRNA has multiple single-nucleotide polymorphisms. In this study, we developed a method to efficiently determine the C. acnes 16S rRNA genotype composition from microbial samples taken from the hands of participants and from their possessions. Using the C. acnes 16S rRNA genotype composition, we could predict the owner of a possession with around 90% accuracy when the 16S rRNA gene-based microbiome profile was included. We also showed that the C. acnes 16S rRNA genotype composition was more stable over time than the skin microbiome profile and thus is more suitable for owner identification.

Dataset Information

Evaluation of Antibacterial Drugs Using Silkworms Infected by Cutibacterium acnes.

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Evaluation of Antibacterial Drugs Using Silkworms Infected by <i>Cutibacterium acnes</i>.

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