Immune dysregulation and autoreactivity correlate with disease severity in SARS-CoV-2-associated multisystem inflammatory syndrome in children

Autor: Andrew J. Rice, Alamzeb Khan, Ningshan Li, Charles S. Dela Cruz, Xiting Yan, Kenneth B. Hoehn, Hiromitsu Asashima, Victoria Habet, Tomokazu Sumida, Jason Bishai, Merrick Lopez, Carrie L. Lucas, Jason Catanzaro, Brian Sellers, John S. Tsang, Pamela A. Guerrerio, David van Dijk, Michela Comi, Richard W. Pierce, Anjali Ramaswamy, Harsha K. Chandnani, Zuoheng Wang, Aagam Shah, Avraham Unterman, Yunqing Liu, David A. Hafler, Steven H. Kleinstein, Nina N. Brodsky, William W. Lau, Naftali Kaminski, Neha Bansal, Neal G. Ravindra
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Immunity
medRxiv
ISSN: 1097-4180
1074-7613
Popis: 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.
Graphical abstract
Multisystem inflammatory syndrome in children (MIS-C) is a life-threatening and unpredictable condition of unknown etiology. Ramaswamy et al. use peripheral blood single-cell transcriptomic profiling along with other techniques to define key innate and adaptive signatures that characterize MIS-C.
Databáze: OpenAIRE