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Cited by 276

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Commensal Staphylococci Influence Staphylococcus aureus Skin Colonization and Disease

Open access
Parlet, Corey P., Brown, Morgan M., Horswill, Alexander R.·2019·Trends in Microbiology

Abstract

Commensal organisms that constitute the skin microbiota play a pivotal role in the orchestration of cutaneous homeostasis and immune competence. This balance can be promptly offset by the expansion of the opportunistic pathogen Staphylococcus aureus, which is responsible for the majority of bacterial skin infections. S. aureus carriage is also known to be a precondition for its transmission and pathogenesis. Recent reports suggest that skindwelling coagulase negative Staphylococci (CoNS) can prime the skin immune system to limit the colonization potential of invaders, and they can directly compete through production of antimicrobial molecules or through signaling antagonism. We review recent advances in these CoNS colonization resistance mechanisms, which may serve to aid development of pharmacologic and probiotic intervention strategies to limit S. aureus skin colonization and disease.

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Metadata

Authors
Parlet, C. P., Brown, M. M., & Horswill, A. R.
Venue
Trends in Microbiology
Publisher
Elsevier BV
Published
2019-06
Volume
27
Issue
6
Pages
497-507
ISSN
0966-842X (ISSN-L)
OpenAlex
W2919360226
Cited by
276
References
23
FWCI
5.23
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Commensal Staphylococci Influence Staphylococcus aureus Skin Colonization and Disease. https://app.cochat.ai/papers/10.1016/j.tim.2019.01.008
The paper
Parlet, C. P., Brown, M. M., & Horswill, A. R. (2019). Commensal Staphylococci Influence Staphylococcus aureus Skin Colonization and Disease. Trends in Microbiology. https://doi.org/10.1016/j.tim.2019.01.008

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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.