ELISA-Based Analysis Reveals an Anti-SARS-CoV-2 Protein Immune Response Profile Associated with Disease Severity.
Charline HerrscherSébastien EymieuxChristophe GaboritHélène BlascoJulien MarletKarl SteficPhilippe RoingeardLeslie Guillon-GrammaticoChristophe HouriouxPublished in: Journal of clinical medicine (2022)
Since the start of the COVID-19 pandemic, many studies have investigated the humoral response to SARS-CoV-2 during infection. Studies with native viral proteins constitute a first-line approach to assessing the overall immune response, but small peptides are an accurate and valuable tool for the fine characterization of B-cell epitopes, despite the restriction of this approach to the determination of linear epitopes. In this study, we used ELISA and peptides covering a selection of structural and non-structural SARS-CoV-2 proteins to identify key epitopes eliciting a strong immune response that could serve as a biological signature of disease characteristics, such as severity, in particular. We used 213 plasma samples from a cohort of patients well-characterized clinically and biologically and followed for COVID-19 infection. We found that patients developing severe disease had higher titers of antibodies mapping to multiple specific epitopes than patients with mild to moderate disease. These data are potentially important as they could be used for immunological profiling to improve our knowledge of the quantitative and qualitative characteristics of the humoral response in relation to patient outcome.
Keyphrases
- immune response
- sars cov
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- high resolution
- respiratory syndrome coronavirus
- prognostic factors
- dendritic cells
- toll like receptor
- healthcare
- peritoneal dialysis
- patient reported outcomes
- case report
- machine learning
- mass spectrometry
- amino acid
- electronic health record
- coronavirus disease
- data analysis
- deep learning
- atomic force microscopy
- monoclonal antibody
- neural network