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Endothelial transcriptomic analysis identifies biomarkers of severe and cerebral malaria
- Source :
- JCI Insight, Vol 8, Iss 22 (2023)
- Publication Year :
- 2023
- Publisher :
- American Society for Clinical investigation, 2023.
-
Abstract
- Malaria can quickly progress from an uncomplicated infection into a life-threatening severe disease. However, the unspecificity of early symptoms often makes it difficult to identify patients at high risk of developing severe disease. Additionally, one of the most feared malaria complications — cerebral malaria — is challenging to diagnose, often resulting in treatment delays that can lead to adverse outcomes. To identify candidate biomarkers for the prognosis and/or diagnosis of severe and cerebral malaria, we have analyzed the transcriptomic response of human brain microvascular endothelial cells to erythrocytes infected with Plasmodium falciparum. Candidates were validated in plasma samples from a cohort of pediatric patients with malaria from Mozambique, resulting in the identification of several markers with capacity to distinguish uncomplicated from severe malaria, the most potent being the metallopeptidase ADAMTS18. Two other biomarkers, Angiopoietin-like-4 and Inhibin-βE were able to differentiate children with cerebral malaria within the severe malaria group, showing increased sensitivity after combination in a biomarker signature. The validation of the predicted candidate biomarkers in plasma of children with severe and cerebral malaria underscores the power of this transcriptomic approach and indicates that a specific endothelial response to P. falciparum–infected erythrocytes is linked to the pathophysiology of severe malaria.
- Subjects :
- Infectious disease
Medicine
Subjects
Details
- Language :
- English
- ISSN :
- 23793708
- Volume :
- 8
- Issue :
- 22
- Database :
- Directory of Open Access Journals
- Journal :
- JCI Insight
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.860cefaf2ea545ce90cd8443e088c558
- Document Type :
- article
- Full Text :
- https://doi.org/10.1172/jci.insight.172845