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Published on: August 7, 2017
Immune dysregulation and autoreactivity correlate with disease severity in SARS-CoV-2-associated multisystem
Anjali Ramaswamy1, Nina N Brodsky2, Tomokazu S Sumida3
1Department of Immunobiology, Yale University School of Medicine, New Haven, CT, 06519, USA.
Abstract:
Multisystem inflammatory syndrome in children (MIS-C) is a life-threatening post-infectious complication occurring unpredictably weeks after mild or asymptomatic SARS-CoV-2 infection. We profiled MIS-C, adult COVID-19, and healthy pediatric and adult individuals using single-cell RNA sequencing, flow cytometry, antigen receptor repertoire analysis, and unbiased serum proteomics, which collectively identified a signature in MIS-C patients that correlated with disease severity. Despite having no evidence of active infection, MIS-C patients had elevated S100A-family alarmins and decreased antigen presentation signatures, indicative of myeloid dysfunction. MIS-C patients showed elevated expression of cytotoxicity genes in NK and CD8+ T cells and expansion of specific IgG-expressing plasmablasts. Clinically severe MIS-C patients displayed skewed memory T cell TCR repertoires and autoimmunity characterized by endothelium-reactive IgG. The alarmin, cytotoxicity, TCR repertoire, and plasmablast signatures we defined have potential for application in the clinic to better diagnose and potentially predict disease severity early in the course of MIS-C.
Insights
Multisystem inflammatory syndrome in children (MIS-C) involves myeloid dysfunction and immune cell activation weeks after SARS-CoV-2 infection. Biomarkers like alarmins and T-cell changes may help predict MIS-C severity.
Area of Science:
- Immunology
- Pediatric Infectious Diseases
- Molecular Biology
Background:
- Multisystem inflammatory syndrome in children (MIS-C) is a severe post-infectious complication of SARS-CoV-2.
- MIS-C onset is unpredictable, occurring weeks after infection, even in asymptomatic cases.
Purpose of the Study:
- To identify molecular and cellular signatures associated with MIS-C.
- To correlate these signatures with disease severity.
- To explore potential diagnostic and prognostic biomarkers for MIS-C.
Main Methods:
- Single-cell RNA sequencing
- Flow cytometry
- Antigen receptor repertoire analysis
- Serum proteomics
Main Results:
- MIS-C patients exhibited elevated S100A alarmins and impaired antigen presentation, suggesting myeloid dysfunction.
- Increased cytotoxicity gene expression in NK and CD8+ T cells and expanded IgG-expressing plasmablasts were observed.
- Severe MIS-C cases showed skewed T-cell receptor repertoires and endothelium-reactive IgG, indicating autoimmunity.
Conclusions:
- Defined signatures including alarmins, cytotoxicity, T-cell receptor repertoires, and plasmablasts show potential for early MIS-C diagnosis and severity prediction.
- These findings highlight key immune dysregulations in MIS-C.
- Further research can translate these signatures into clinical tools for managing MIS-C.
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