Why robust identification of rare yeasts is the need of the hour

The infection caused by rare yeasts among immunocompromised or seriously ill patients is on the rise. Therefore, a comprehensive and rapid method for accurate identification is urgently needed. We have addressed this need by enriching the in-house Bruker library by adding 141 rare yeast isolates, representing 25 genera and 68 species. This comprehensive update has resulted in improved turnaround time, a development that will significantly enhance patient management by providing more timely and accurate identification of rare yeast infections, thereby improving patient outcomes. Moreover, the enriched library spectrum profiles generated in this study have been made publicly available through the Centers for Disease Control and Prevention's MicrobeNet database (https://MicrobeNet.cdc.gov), enabling collaboration in the scientific community.

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Publication Details

Journal
Microbiology Spectrum
Published
2025-12-17
DOI
https://doi.org/10.1128/spectrum.01419-25
Primary Topic
Fungal Infections and Studies
Type
article
Field-Weighted Citation Impact
0.00
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Why robust identification of rare yeasts is the need of the hour

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Microbiology Spectrum
Fungal Infections and Studies
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Why robust identification of rare yeasts is the need of the hour

Brittany O’Brien, Sudha Chaturvedi, Anuradha Marathe, Mayuri M. Vaidya, YanChun Zhu
article en

Abstract

The infection caused by rare yeasts among immunocompromised or seriously ill patients is on the rise. Therefore, a comprehensive and rapid method for accurate identification is urgently needed. We have addressed this need by enriching the in-house Bruker library by adding 141 rare yeast isolates, representing 25 genera and 68 species. This comprehensive update has resulted in improved turnaround time, a development that will significantly enhance patient management by providing more timely and accurate identification of rare yeast infections, thereby improving patient outcomes. Moreover, the enriched library spectrum profiles generated in this study have been made publicly available through the Centers for Disease Control and Prevention's MicrobeNet database (https://MicrobeNet.cdc.gov), enabling collaboration in the scientific community.

Microbiology SpectrumVol. 14(2)
New York State Department of Health (US), Wadsworth Center (US), Albany College of Pharmacy and Health Sciences (US), University at Albany, State University of New York (US)
Openalex Percentile: Top 48%
Fungal Infections and Studies
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