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


Yeoh, S, Estrada-Rivadeneyra, D ORCID: 0000-0003-2512-7131, Jackson, H, Keren, I, Galassini, R ORCID: 0000-0002-1025-0367, Cooray, S ORCID: 0000-0001-6103-8895, Shah, P ORCID: 0000-0001-9164-8862, Agyeman, P ORCID: 0000-0002-8339-5444, Basmaci, R ORCID: 0000-0002-5277-0002, Carrol, E ORCID: 0000-0001-8357-7726 et al (show 25 more authors) (2024) Plasma Protein Biomarkers Distinguish Multisystem Inflammatory Syndrome in Children from Other Pediatric Infectious and Inflammatory Diseases Pediatric Infectious Disease Journal, 43 (5). pp. 444-453. ISSN 0891-3668, 1532-0987

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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. 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. Conclusion: Our findings demonstrate the feasibility of a host protein biomarker signature for MIS-C and may provide new insight into its pathophysiology.

Item Type: Article
Uncontrolled Keywords: MIS-C, SARS-CoV-2, Kawasaki, pediatric, biomarker
Divisions: Faculty of Health & Life Sciences
Faculty of Health & Life Sciences > Inst. Infection, Vet & Ecological Sciences
Depositing User: Symplectic Admin
Date Deposited: 23 Apr 2024 08:52
Last Modified: 28 Feb 2026 20:49
DOI: 10.1097/INF.0000000000004267
Open Access URL: https://doi.org/10.1097/inf.0000000000004267
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URI: https://livrepository.liverpool.ac.uk/id/eprint/3180529
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