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Plasma Protein Biomarkers Distinguish Multisystem Inflammatory Syndrome in Children From Other Pediatric Infectious and Inflammatory Diseases.

Authors :
Yeoh S
Estrada-Rivadeneyra D
Jackson H
Keren I
Galassini R
Cooray S
Shah P
Agyeman P
Basmaci R
Carrol E
Emonts M
Fink C
Kuijpers T
Martinon-Torres F
Mommert-Tripon M
Paulus S
Pokorn M
Rojo P
Romani L
Schlapbach L
Schweintzger N
Shen CF
Tsolia M
Usuf E
van der Flier M
Vermont C
von Both U
Yeung S
Zavadska D
Coin L
Cunnington A
Herberg J
Levin M
Kaforou M
Hamilton S
Source :
The Pediatric infectious disease journal [Pediatr Infect Dis J] 2024 May 01; Vol. 43 (5), pp. 444-453. Date of Electronic Publication: 2024 Feb 07.
Publication Year :
2024

Abstract

Background: Multisystem inflammatory syndrome in children (MIS-C) is a rare but serious hyperinflammatory complication following infection with severe acute respiratory syndrome coronavirus 2. The mechanisms underpinning the pathophysiology of MIS-C are poorly understood. Moreover, clinically distinguishing MIS-C from other childhood infectious and inflammatory conditions, such as Kawasaki disease or severe bacterial and viral infections, is challenging due to overlapping clinical and laboratory features. We aimed to determine a set of plasma protein biomarkers that could discriminate MIS-C from those other diseases.<br />Methods: Seven candidate protein biomarkers for MIS-C were selected based on literature and from whole blood RNA sequencing data from patients with MIS-C and other diseases. Plasma concentrations of ARG1, CCL20, CD163, CORIN, CXCL9, PCSK9 and ADAMTS2 were quantified in MIS-C (n = 22), Kawasaki disease (n = 23), definite bacterial (n = 28) and viral (n = 27) disease and healthy controls (n = 8). Logistic regression models were used to determine the discriminatory ability of individual proteins and protein combinations to identify MIS-C and association with severity of illness.<br />Results: Plasma levels of CD163, CXCL9 and PCSK9 were significantly elevated in MIS-C with a combined area under the receiver operating characteristic curve of 85.7% (95% confidence interval: 76.6%-94.8%) for discriminating MIS-C from other childhood diseases. Lower ARG1 and CORIN plasma levels were significantly associated with severe MIS-C cases requiring inotropes, pediatric intensive care unit admission or with shock.<br />Conclusion: Our findings demonstrate the feasibility of a host protein biomarker signature for MIS-C and may provide new insight into its pathophysiology.<br />Competing Interests: The authors have no conflicts of interest to disclose.<br /> (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)

Details

Language :
English
ISSN :
1532-0987
Volume :
43
Issue :
5
Database :
MEDLINE
Journal :
The Pediatric infectious disease journal
Publication Type :
Academic Journal
Accession number :
38359342
Full Text :
https://doi.org/10.1097/INF.0000000000004267