Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
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, , PERFORM;DIAMONDS, and, UK, KD, Genetic, Consortia.
Plasma Protein Biomarkers Distinguish Multisystem Inflammatory Syndrome in Children From Other Pediatric Infectious and Inflammatory Diseases.
Pediatr Infect Dis J. 2024;
Doi: 10.1097/INF.0000000000004267
[OPEN ACCESS]
Web of Science
PubMed
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- Co-Autor*innen der Med Uni Graz
- Schweintzger Nina
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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.
- Find related publications in this database (Keywords)
- MIS-C
- SARS-CoV-2
- Kawasaki
- pediatric
- biomarker