Plasma protein biomarkers distinguish multisystem inflammatory syndrome in children from other pediatric infectious and inflammatory diseases
File(s)
Author(s)
Type
Journal Article
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.
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.
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.
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.
Date Issued
2024-05-01
Date Acceptance
2023-12-19
Citation
Pediatric Infectious Disease Journal, 2024, 43 (5), pp.444-453
ISSN
0891-3668
Publisher
Lippincott, Williams & Wilkins
Start Page
444
End Page
453
Journal / Book Title
Pediatric Infectious Disease Journal
Volume
43
Issue
5
Copyright Statement
© 2024 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/38359342
PII: 00006454-202405000-00012
Subjects
ARGINASE
BACTERIAL
biomarker
Immunology
Infectious Diseases
Kawasaki
Life Sciences & Biomedicine
MIS-C
NATRIURETIC-PEPTIDE
PCSK9
pediatric
Pediatrics
SARS-CoV-2
Science & Technology
SIGNATURE
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2024-02-07