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Biolistic Transformation of a Fluorescent Tagged Gene into the Opportunistic Fungal Pathogen Cryptococcus neoformans
Published on: March 19, 2015
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Transcriptional Profiles Elucidate Differential Host Responses to Infection with Cryptococcus neoformans and
Zachary E Holcomb1, Julie M Steinbrink2, Aimee K Zaas2
1Harvard Combined Dermatology Residency Program, Department of Dermatology, Massachusetts General Hospital, Boston, MA 02114, USA.
Journal of Fungi (Basel, Switzerland)
|May 28, 2022
Summary
This study reveals distinct host immune responses to Cryptococcus neoformans and Cryptococcus gattii infections in mice. Transcriptomic analysis identified key immune pathways and developed a gene classifier for cryptococcal infections.
Area of Science:
- Immunology
- Infectious Diseases
- Genomics
Background:
- Cryptococcal infections are a significant global health concern, yet host responses remain incompletely understood.
- Understanding the pathobiology of different Cryptococcus species is crucial for effective treatment and diagnosis.
Purpose of the Study:
- To investigate and compare the host transcriptomic responses to *Cryptococcus neoformans* and *Cryptococcus gattii* infections in a murine model.
- To identify key immune pathways involved in the host response to cryptococcosis.
- To develop a gene-based classifier for diagnosing cryptococcal infections.
Main Methods:
- BALB/cJ mice were infected with *C. neoformans*, *C. gattii*, or a sham control.
- Peripheral blood was analyzed for host transcriptomic responses.
- Differential gene expression analysis and pathway enrichment were performed.
- A 27-gene classifier was developed and validated.
Main Results:
- *C. neoformans* infection led to higher fungal burden in the CNS and lungs compared to *C. gattii*.
- 389 genes were differentially expressed in response to *C. neoformans*, highlighting complement activation and TH2-skewed immunity.
- *C. neoformans* induced greater upregulation of complement-driven genes and alternatively activated macrophage activity.
- A 27-gene classifier distinguished cryptococcal from *Staphylococcus aureus* infection with high accuracy (94% sensitivity, 89% specificity).
- Top classifier genes showed differential expression in human peripheral blood mononuclear cells (PBMCs), indicating cross-species relevance.
Conclusions:
- Host transcriptional profiles provide insights into the pathophysiology of cryptococcal infections.
- Distinct host responses are elicited by *C. neoformans* and *C. gattii*.
- The developed gene classifier shows promise for novel diagnostic approaches for cryptococcosis.
