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Usage Information

Propionibacterium acnes–induced immunopathology correlates with health and disease association
Stacey L. Kolar, Chih-Ming Tsai, Juan Torres, Xuemo Fan, Huiying Li, George Y. Liu
Stacey L. Kolar, Chih-Ming Tsai, Juan Torres, Xuemo Fan, Huiying Li, George Y. Liu
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Research Article Dermatology Microbiology

Propionibacterium acnes–induced immunopathology correlates with health and disease association

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Abstract

Genomic studies revealed the existence of health- and acne-associated P. acnes strains and suggested novel approaches for broadening understanding of acne vulgaris. However, clinical association of P. acnes with disease or health has yet to be corroborated experimentally. Current animal models of acne do not closely mimic human disease and have unclear translational value. We have developed a murine model of acne by combining P. acnes inoculation with topical application of a synthetic human sebum. We showed that human sebum promoted persistence of intradermally injected P. acnes with little loss of viability after 1 week and permitted use of more physiologic inoculums. Application of acne-associated P. acnes RT4/5 strains led to development of moderate to severe skin pathology compared with application of health-associated type II P. acnes strains (RT2/6). RT4/5 P. acnes strains uniformly induced higher levels of KC (IL-8), IL-1α, IL-1β, and IL-6 in vitro and in vivo compared with type II P. acnes strains. Overall, our data provide immunopathologic corroboration of health and disease association of clinical P. acnes strains and inform on a platform to query putative virulence factors uncovered by genomic studies.

Authors

Stacey L. Kolar, Chih-Ming Tsai, Juan Torres, Xuemo Fan, Huiying Li, George Y. Liu

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Usage data is cumulative from March 2025 through March 2026.

Usage JCI PMC
Text version 2,370 522
PDF 260 123
Figure 539 2
Table 168 0
Supplemental data 122 24
Citation downloads 119 0
Totals 3,578 671
Total Views 4,249
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

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