Cerebrospinal fluid proteome maps detect pathogen-specific host response patterns in meningitis
Anahita Bakochi1, Tirthankar Mohanty1, Paul Theodor Pyl2
1Department of Clinical Sciences, Division of Infection Medicine, Lund University, Lund, Sweden.
Abstract:
Meningitis is a potentially life-threatening infection characterized by the inflammation of the leptomeningeal membranes. Many different viral and bacterial pathogens can cause meningitis, with differences in mortality rates, risk of developing neurological sequelae, and treatment options. Here, we constructed a compendium of digital cerebrospinal fluid (CSF) proteome maps to define pathogen-specific host response patterns in meningitis. The results revealed a drastic and pathogen-type specific influx of tissue-, cell-, and plasma proteins in the CSF, where, in particular, a large increase of neutrophil-derived proteins in the CSF correlated with acute bacterial meningitis. Additionally, both acute bacterial and viral meningitis result in marked reduction of brain-enriched proteins. Generation of a multiprotein LASSO regression model resulted in an 18-protein panel of cell- and tissue-associated proteins capable of classifying acute bacterial meningitis and viral meningitis. The same protein panel also enabled classification of tick-borne encephalitis, a subgroup of viral meningitis, with high sensitivity and specificity. The work provides insights into pathogen-specific host response patterns in CSF from different disease etiologies to support future classification of pathogen type based on host response patterns in meningitis.
Insights
Researchers identified specific protein patterns in cerebrospinal fluid (CSF) to distinguish between bacterial and viral meningitis. This proteomic analysis aids in diagnosing meningitis types and predicting outcomes.
Area of Science:
- Neuroscience
- Infectious Diseases
- Proteomics
Background:
- Meningitis, an inflammation of the leptomeningeal membranes, poses significant health risks.
- Diverse viral and bacterial pathogens cause meningitis, leading to varied outcomes and treatment needs.
Purpose of the Study:
- To create digital cerebrospinal fluid (CSF) proteome maps for identifying pathogen-specific host responses in meningitis.
- To develop a diagnostic tool for classifying meningitis etiology based on host response patterns.
Main Methods:
- Construction of a compendium of digital CSF proteome maps.
- Analysis of protein influx and reduction patterns in CSF.
- Development of a multiprotein LASSO regression model for classification.
Main Results:
- Pathogen-type specific protein influxes observed in CSF.
- Increased neutrophil-derived proteins in CSF correlated with acute bacterial meningitis.
- An 18-protein panel accurately classified bacterial meningitis, viral meningitis, and tick-borne encephalitis.
Conclusions:
- CSF proteome profiling reveals distinct host response patterns for different meningitis pathogens.
- The identified 18-protein panel offers a promising approach for classifying meningitis etiology.
- This research supports future pathogen classification based on host response in meningitis.
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