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Published on: October 20, 2020
Whole Blood Proteome Dynamics Defines Predictive Diagnostic and Prognostic Signatures of Cryptococcal Infection
Michael Woods1, Jason A McAlister1, Lauren Segeren1
1Molecular and Cellular Biology Department, University of Guelph, Guelph, Ontario, Canada.
Abstract:
Across the globe, fungi are impacting the lives of millions of people through the development of infections ranging from superficial to systemic with limited treatment options. To effectively combat fungal disease, rapid and reliable diagnostic methods are required, including current methodologies using antigen detection, culturing, microscopy, and molecular tools. However, the flexibility of these platforms to diagnose infection using non-invasive methods and predict the outcome of disease are limited. In this study, we apply state-of-the-art mass spectrometry-based proteomics to perform dual perspective (i.e., host and pathogen) profiling of cryptococcal infection. Whole blood collected over a temporal scale following murine model challenged with the human fungal pathogen, Cryptococcus neoformans, detected >3000 host proteins and 160 fungal proteins. From the host perspective, temporal regulation of known immune-associated proteins, including eosinophil peroxidase and lipocalin-2, along with suppression of lipoproteins, demonstrated infection- and time-dependent host remodeling. Conversely, from the pathogen perspective, known and putative virulence-associated proteins were detected, including proteins associated with fungal extracellular vesicles and host immune modulation. We also observed and validated a new mechanism of immune system response to C. neoformans through modulation of haptoglobin. Furthermore, we assessed the predictive power of dual perspective proteome profiling toward prognostics of cryptococcal infection and report a previously undisclosed integration among virulence factor production, immune system modulation, and individual model survival. Together, our findings pose novel biomarkers of cryptococcal infection from whole blood and highlight the potential of personal proteome profiles to determine the prognosis of cryptococcal infection, a new parameter in fungal disease management.
Insights
This study uses mass spectrometry proteomics to analyze host and Cryptococcus neoformans proteins in blood, identifying new biomarkers for diagnosing and predicting fungal infections.
Area of Science:
- Medical proteomics
- Infectious disease diagnostics
- Fungal pathogenesis
Background:
- Fungal infections, particularly cryptococcal infections, pose a global health challenge with limited diagnostic and prognostic tools.
- Current diagnostic methods lack flexibility for non-invasive testing and predicting disease outcomes.
- Effective management requires rapid, reliable diagnostics and prognostic indicators.
Purpose of the Study:
- To apply mass spectrometry-based proteomics for dual host-pathogen profiling of cryptococcal infection.
- To identify novel biomarkers in whole blood for diagnosing and predicting cryptococcal infection prognosis.
- To explore host immune responses and pathogen virulence mechanisms during infection.
Main Methods:
- Temporal whole blood proteome profiling using mass spectrometry in a murine model of Cryptococcus neoformans infection.
- Detection and analysis of both host and fungal proteins.
- Validation of identified host immune response mechanisms and assessment of prognostic predictive power.
Main Results:
- Over 3000 host proteins and 160 fungal proteins were detected, revealing infection- and time-dependent host remodeling.
- Virulence-associated proteins from C. neoformans, including those involved in immune modulation, were identified.
- A novel immune response mechanism involving haptoglobin modulation was observed and validated.
- Dual perspective proteome profiling demonstrated predictive power for infection prognosis.
Conclusions:
- Proteomic analysis of whole blood provides novel biomarkers for cryptococcal infection diagnosis.
- Personal proteome profiles can predict infection prognosis, offering a new parameter for fungal disease management.
- This approach enhances our understanding of host-pathogen interactions in cryptococcosis.
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