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Predicting fatal fungal infections
Date:6/15/2009

June 15, 2009 (BRONX, NY) In a study published in The Journal of Infectious Diseases, researchers from Albert Einstein College of Medicine of Yeshiva University have identified cells in blood that predict which HIV-positive individuals are most likely to develop deadly fungal meningitis, a major cause of HIV-related death. This form of meningitis affects more than 900,000 HIV-infected people globallymost of them in sub-Saharan Africa and other areas of the world where antiretroviral therapy for HIV is not available.

A major cause of fungal meningitis is Cryptococcus neoformans, a yeast-like fungus commonly found in soil and in bird droppings. Virtually everyone has been infected with Cryptococcus neoformans, but a healthy immune system keeps the infection from ever causing disease.

The risk of developing fungal meningitis from Cryptococcus neoformans rises dramatically when people have weakened immunity, due to HIV infection or other reasons including the use of immunosuppressive drugs after organ transplantation, or for treating autoimmune diseases or cancer. Knowing which patients are most likely to develop fungal meningitis would allow costly drugs for preventing fungal disease to be targeted to those most in need. (In the U.S., the widespread use of antiretroviral therapy by HIV-infected people, and their preventive use of anti-fungal drugs, has dramatically reduced their rate of fungal meningitis from Cryptococcus neoformans to about 2%.)

In this study, Liise-anne Pirofski, M.D., describes a technique for predicting which HIV-infected patients are at greatest risk for developing fungal meningitis caused by Cryptococcus neoformans. Dr. Pirofski is chief in the division of infectious diseases at Einstein.

Dr. Pirofski and her colleagues counted the number of immune cells known as IgM memory B cells in the bloodstream of three groups of individuals: people infected with HIV
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Contact: Deirdre Branley
sciencenews@aecom.yu.edu
718-430-2923
Albert Einstein College of Medicine
Source:Eurekalert  

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Predicting fatal fungal infections
Predicting fatal fungal infections
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