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Usage Information

Immunity against fungi
Michail S. Lionakis, … , Iliyan D. Iliev, Tobias M. Hohl
Michail S. Lionakis, … , Iliyan D. Iliev, Tobias M. Hohl
Published June 2, 2017
Citation Information: JCI Insight. 2017;2(11):e93156. https://doi.org/10.1172/jci.insight.93156.
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Review

Immunity against fungi

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Abstract

Pathogenic fungi cause a wide range of syndromes in immune-competent and immune-compromised individuals, with life-threatening disease primarily seen in humans with HIV/AIDS and in patients receiving immunosuppressive therapies for cancer, autoimmunity, and end-organ failure. The discovery that specific primary immune deficiencies manifest with fungal infections and the development of animal models of mucosal and invasive mycoses have facilitated insight into fungus-specific recognition, signaling, effector pathways, and adaptive immune responses. Progress in deciphering the molecular and cellular basis of immunity against fungi is guiding preclinical studies into vaccine and immune reconstitution strategies for vulnerable patient groups. Furthermore, recent work has begun to address the role of endogenous fungal communities in human health and disease. In this review, we summarize a contemporary understanding of protective immunity against fungi.

Authors

Michail S. Lionakis, Iliyan D. Iliev, Tobias M. Hohl

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 1,215 390
PDF 274 87
Figure 216 1
Table 109 0
Citation downloads 114 0
Totals 1,928 478
Total Views 2,406
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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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