Whole Blood Proteome Dynamics Defines Predictive Diagnostic and Prognostic Signatures of Cryptococcal Infection

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.