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Usage Information

Turbinmicin inhibits Candida biofilm growth by disrupting fungal vesicle–mediated trafficking
Miao Zhao, Fan Zhang, Robert Zarnowski, Kenneth Barns, Ryley Jones, Jen Fossen, Hiram Sanchez, Scott R. Rajski, Anjon Audhya, Tim S. Bugni, David R. Andes
Miao Zhao, Fan Zhang, Robert Zarnowski, Kenneth Barns, Ryley Jones, Jen Fossen, Hiram Sanchez, Scott R. Rajski, Anjon Audhya, Tim S. Bugni, David R. Andes
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Concise Communication Infectious disease

Turbinmicin inhibits Candida biofilm growth by disrupting fungal vesicle–mediated trafficking

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Abstract

The emergence of drug-resistant fungi has prompted an urgent threat alert from the US Centers for Disease Control (CDC). Biofilm assembly by these pathogens further impairs effective therapy. We recently identified an antifungal, turbinmicin, that inhibits the fungal vesicle–mediated trafficking pathway and demonstrates broad-spectrum activity against planktonically growing fungi. During biofilm growth, vesicles with unique features play a critical role in the delivery of biofilm extracellular matrix components. As these components are largely responsible for the drug resistance associated with biofilm growth, we explored the utility of turbinmicin in the biofilm setting. We found that turbinmicin disrupted extracellular vesicle (EV) delivery during biofilm growth and that this impaired the subsequent assembly of the biofilm matrix. We demonstrated that elimination of the extracellular matrix rendered the drug-resistant biofilm communities susceptible to fungal killing by turbinmicin. Furthermore, the addition of turbinmicin to otherwise ineffective antifungal therapy potentiated the activity of these drugs. The underlying role of vesicles explains this dramatic activity and was supported by phenotype reversal with the addition of exogenous biofilm EVs. This striking capacity to cripple biofilm assembly mechanisms reveals a new approach to eradicating biofilms and sheds light on turbinmicin as a promising anti-biofilm drug.

Authors

Miao Zhao, Fan Zhang, Robert Zarnowski, Kenneth Barns, Ryley Jones, Jen Fossen, Hiram Sanchez, Scott R. Rajski, Anjon Audhya, Tim S. Bugni, David R. Andes

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Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 1,316 216
PDF 293 51
Figure 348 1
Supplemental data 111 6
Citation downloads 241 0
Totals 2,309 274
Total Views 2,583
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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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ISSN: 0021-9738 (print), 1558-8238 (online)

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