ArticleJCI insight2023
Endothelial transcriptomic analysis identifies biomarkers of severe and cerebral malaria.
Article in JCI insight, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- ETS-guided iPSC-endothelial models recapitulate malaria pathogenesis.EMBO molecular medicine · 2026Article
- Plasmodium falciparum impairs Ang-1 secretion by pericytes in a 3D brain microvessel model.EMBO molecular medicine · 2025Article
- Neurovascular Pathophysiology and Emerging Biomarkers in Cerebral Malaria: An Integrative Perspective.Neurology international · 2025Review
- The malarial blood transcriptome: translational applications.Biochemical Society transactions · 2024Review
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Authors and funding
9 authors at 4 institutions in 3 countries.
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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.
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Registered trials
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