Cryptococcosis: a model for the understanding of infectious diseases

隐球菌病:理解传染病的模型

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Abstract

The increase in immunosuppressed patient populations has correlated with a rise in clinical fungal infections, including cryptococcosis. Patient outcome following Cryptococcus infection is linked to initial fungal burden in cerebrospinal fluid (CSF) and fungal clearance following treatment; however, the role of the pathogen in disease prognosis is poorly defined. In this issue of the JCI, Sabiiti and colleagues have directly correlated phenotypic traits of Cryptococcus neoformans with clinical outcome of infected patients. A better understanding of both the host and pathogen contributions to disease etiology will provide more options for targeted treatment strategies.

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