Old Cryptococcus neoformans Cells Contribute to Virulence in Chronic Cryptococcosis
Open accessAbstract
Does cell age matter in virulence? The emergence of persister cells during chronic infections is critical for persistence of infection, but little is known how this occurs. Here, we demonstrate for the first time that the replicative age of the fungal pathogen Cryptococcus neoformans contributes to persistence during chronic meningoencephalitis. Generationally older C. neoformans cells are more resistant to hydrogen peroxide stress, macrophage intracellular killing, and antifungal agents. Older cells accumulate in both experimental rat infection and in human cryptococcosis. Mathematical modeling supports the concept that the presence of older C. neoformans cells emerges from in vivo selection pressures. We propose that advanced replicative aging is a new unanticipated virulence trait that emerges during chronic fungal infection and facilitates persistence. Therapeutic interventions that target old cells could help in the clearance of chronic infections. IMPORTANCE Our findings that the generational age of Cryptococcus neoformans cells matters in pathogenesis introduces a novel concept to eukaryotic pathogenesis research. We propose that emerging properties of aging C. neoformans cells and possibly also other fungal pathogens contribute to persistence and virulence. Whereas the replicative life span of strains may not matter for virulence per se , age-related resilience and thus the generational age of individual C. neoformans cells within a pathogen population could greatly affect persistence of the pathogen population and therefore impact outcome.
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The thicker cell walls of older C. neoformans cells have been implicated in their increased antifungal resistance.
“the thicker cell walls of older C. neoformans cells have been implicated in their increased antifungal resistance42.”
From Treatment strategies for cryptococcal infection: challenges, advances and future outlook (2021) · cites this paper as [42]
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References 58 · Cited by 46
- Authors
- Bouklas, T., Pechuan, X., Goldman, D. L., Edelman, B., Bergman, A., & Fries, B. C.
- Affiliations
- Albert Einstein College of Medicine (US)
- Department of Systems and Computational Biology, Albert Einstein College of Medicine of Yeshiva University, Bronx, New York, USA
- Corresponding author
- Fries, Bettina C.
- Venue
- mBio
- Publisher
- American Society for Microbiology
- Published
- 2013-08-30
- Volume
- 4
- Issue
- 4
- ISSN
- 2150-7511 (ISSN-L)
- 2161-2129
- PMC
- PMC3747583
- OpenAlex
- W2157882630
- Cited by
- 46
- References
- 58
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 8 · 2023: 1 · 2022: 3 · 2021: 2 · 2020: 4 · 2019: 5 · 2018: 5 · 2017: 6 · 2016: 1 · 2015: 4 · 2014: 3 · 2013: 1
- FWCI
- 2.19
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- mBio (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health (AI 51519, NIH AI-51519)
- U.S. Public Health Service (R21A1087564)
- Center for AIDS Research, University of Washington
- National Cancer Institute (R01CA164468)
- National Institute of Allergy and Infectious Diseases (AI-51519, P30AI051519, R01AI059681, T32AI007501, R21AI087564)
- Topics
- Health Sciences › Medicine › Epidemiology › Fungal Infections and Studies
- Life Sciences › Immunology and Microbiology › Microbiology › Bacterial Infections and Vaccines
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- Cryptococcus neoformans, replicative senescence, persister cells, fungal virulence, meningoencephalitis, persistent infection, hydrogen peroxide resistance, macrophage killing, antifungal resistance, mathematical modeling of infection, fungal pathogenesis
- MeSH terms
- Animals, Chronic Disease, Cryptococcus neoformans, Disease Models, Animal, Humans, Models, Theoretical, Selection, Genetic, Virulence, Meningitis, Cryptococcal, Rats
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