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Usage Information

Human defects in STAT3 promote oral mucosal fungal and bacterial dysbiosis
Loreto Abusleme, … , Heidi H. Kong, Niki M. Moutsopoulos
Loreto Abusleme, … , Heidi H. Kong, Niki M. Moutsopoulos
Published September 6, 2018
Citation Information: JCI Insight. 2018;3(17):e122061. https://doi.org/10.1172/jci.insight.122061.
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Research Article Infectious disease Microbiology

Human defects in STAT3 promote oral mucosal fungal and bacterial dysbiosis

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Abstract

Studies in patients with genetic defects can provide unique insights regarding the role of specific genes and pathways in humans. Patients with defects in the Th17/IL-17 axis, such as patients harboring loss-of-function STAT3 mutations (autosomal-dominant hyper IgE syndrome; AD-HIES) present with recurrent oral fungal infections. Our studies aimed to comprehensively evaluate consequences of STAT3 deficiency on the oral commensal microbiome. We characterized fungal and bacterial communities in AD-HIES in the presence and absence of oral fungal infection compared with healthy volunteers. Analyses of oral mucosal fungal communities in AD-HIES revealed severe dysbiosis with dominance of Candida albicans (C. albicans) in actively infected patients and minimal representation of health-associated fungi and/or opportunists. Bacterial communities also displayed dysbiosis in AD-HIES, particularly in the setting of active Candida infection. Active candidiasis was associated with decreased microbial diversity and enrichment of the streptococci Streptococcus oralis (S. oralis) and S. mutans, suggesting an interkingdom interaction of C. albicans with oral streptococci. Increased abundance of S. mutans was consistent with susceptibility to dental caries in AD-HIES. Collectively, our findings illustrate a critical role for STAT3/Th17 in the containment of C. albicans as a commensal organism and an overall contribution in the establishment of fungal and bacterial oral commensal communities.

Authors

Loreto Abusleme, Patricia I. Diaz, Alexandra F. Freeman, Teresa Greenwell-Wild, Laurie Brenchley, Jigar V. Desai, Weng-Ian Ng, Steven M. Holland, Michail S. Lionakis, Julia A. Segre, Heidi H. Kong, Niki M. Moutsopoulos

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Usage data is cumulative from January 2022 through January 2023.

Usage JCI PMC
Text version 822 260
PDF 73 70
Figure 160 7
Table 17 0
Supplemental data 13 4
Citation downloads 38 0
Totals 1,123 341
Total Views 1,464
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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.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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