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Cited by 292

The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.

Acne, the Skin Microbiome, and Antibiotic Treatment

Open access
Xu, Haoxiang, Li, Huiying·2019·American Journal of Clinical Dermatology

Abstract

Acne vulgaris is a chronic skin disorder involving hair follicles and sebaceous glands. Multiple factors contribute to the disease, including skin microbes. The skin microbiome in the follicle is composed of a diverse group of microorganisms. Among them, Propionibacterium acnes and Malassezia spp. have been linked to acne development through their influence on sebum secretion, comedone formation, and inflammatory response. Antibiotics targeting P. acnes have been the mainstay in acne treatment for the past four decades. Among them, macrolides, clindamycin, and tetracyclines are the most widely prescribed. As antibiotic resistance becomes an increasing concern in clinical practice, understanding the skin microbiome associated with acne and the effects of antibiotic use on the skin commensals is highly relevant and critical to clinicians. In this review, we summarize recent studies of the composition and dynamics of the skin microbiome in acne and the effects of antibiotic treatment on skin microbes.

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Crossref · 10.1007/s40257-018-00417-3

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Metadata

Authors
Xu, H., & Li, H.
Venue
American Journal of Clinical Dermatology
Published
2019-01-10
Volume
20
Issue
3
Pages
335-344
ISSN
  • 1175-0561 (ISSN-L)
  • 1179-1888
OpenAlex
W2910372325
Cited by
292
References
114
FWCI
25.97
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Acne, the Skin Microbiome, and Antibiotic Treatment. https://app.cochat.ai/papers/10.1007/s40257-018-00417-3
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Xu, H., & Li, H. (2019). Acne, the Skin Microbiome, and Antibiotic Treatment. American Journal of Clinical Dermatology. https://doi.org/10.1007/s40257-018-00417-3

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.