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Usage Information

Immunogenetics associated with severe coccidioidomycosis
Amy P. Hsu, … , Michail S. Lionakis, Steven M. Holland
Amy P. Hsu, … , Michail S. Lionakis, Steven M. Holland
Published September 27, 2022
Citation Information: JCI Insight. 2022;7(22):e159491. https://doi.org/10.1172/jci.insight.159491.
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Research Article Genetics Infectious disease

Immunogenetics associated with severe coccidioidomycosis

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Abstract

Disseminated coccidioidomycosis (DCM) is caused by Coccidioides, pathogenic fungi endemic to the southwestern United States and Mexico. Illness occurs in approximately 30% of those infected, less than 1% of whom develop disseminated disease. To address why some individuals allow dissemination, we enrolled patients with DCM and performed whole-exome sequencing. In an exploratory set of 67 patients with DCM, 2 had haploinsufficient STAT3 mutations, and defects in β-glucan sensing and response were seen in 34 of 67 cases. Damaging CLEC7A and PLCG2 variants were associated with impaired production of β-glucan–stimulated TNF-α from PBMCs compared with healthy controls. Using ancestry-matched controls, damaging CLEC7A and PLCG2 variants were overrepresented in DCM, including CLEC7A Y238* and PLCG2 R268W. A validation cohort of 111 patients with DCM confirmed the PLCG2 R268W, CLEC7A I223S, and CLEC7A Y238* variants. Stimulation with a DECTIN-1 agonist induced DUOX1/DUOXA1–derived hydrogen peroxide [H2O2] in transfected cells. Heterozygous DUOX1 or DUOXA1 variants that impaired H2O2 production were overrepresented in discovery and validation cohorts. Patients with DCM have impaired β-glucan sensing or response affecting TNF-α and H2O2 production. Impaired Coccidioides recognition and decreased cellular response are associated with disseminated coccidioidomycosis.

Authors

Amy P. Hsu, Agnieszka Korzeniowska, Cynthia C. Aguilar, Jingwen Gu, Eric Karlins, Andrew J. Oler, Gang Chen, Glennys V. Reynoso, Joie Davis, Alexandria Chaput, Tao Peng, Ling Sun, Justin B. Lack, Derek J. Bays, Ethan R. Stewart, Sarah E. Waldman, Daniel A. Powell, Fariba M. Donovan, Jigar V. Desai, Nima Pouladi, Debra A. Long Priel, Daisuke Yamanaka, Sergio D. Rosenzweig, Julie E. Niemela, Jennifer Stoddard, Alexandra F. Freeman, Christa S. Zerbe, Douglas B. Kuhns, Yves A. Lussier, Kenneth N. Olivier, Richard C. Boucher, Heather D. Hickman, Jeffrey Frelinger, Joshua Fierer, Lisa F. Shubitz, Thomas L. Leto, George R. Thompson III, John N. Galgiani, Michail S. Lionakis, Steven M. Holland

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Usage data is cumulative from September 2022 through February 2023.

Usage JCI PMC
Text version 4,785 25
PDF 1,039 4
Figure 92 0
Table 96 0
Supplemental data 123 1
Citation downloads 78 0
Totals 6,213 30
Total Views 6,243

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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