ArticleInfection2023
Surface proteome of plasma extracellular vesicles as mechanistic and clinical biomarkers for malaria.
Article in Infection, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Profiling of circulating immune factors and host-derived extracellular vesicles in response to bacterial or malaria acute fever.Infection · 2026Article
- Direct Profiling of Extracellular Vesicle Surface Markers in Plasma: A Proof-of-Concept Study.Biology of the cell · 2025Article
- Review
- Proteomics of plasma-derived extracellular vesicles from human patients identifies biomarkers for monitoring visceral leishmaniasis therapy.Frontiers in immunology · 2025Article
- From bites to bytes: understanding how and why individual malaria risk varies using artificial intelligence and causal inference.Frontiers in genetics · 2025Article
- Macrophages treated with interferons induce different responses in lymphocytes via extracellular vesicles.iScience · 2024Article
- Extracellular vesicles and endothelial dysfunction in infectious diseases.Journal of extracellular biology · 2024Review
- Host-Derived Extracellular Vesicles in Blood and Tissue Human Protozoan Infections.Microorganisms · 2023Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
purposeMalaria is a life-threatening mosquito-borne disease caused by Plasmodium parasites, mainly in tropical and subtropical countries. Plasmodium falciparum (P. falciparum) is the most prevalent cause on the African continent and responsible for most malaria-related deaths globally. Important medical needs are biomarkers for disease severity or disease outcome. A potential source of easily accessible biomarkers are blood-borne small extracellular vesicles (sEVs).
methodsWe performed an EV Array to find proteins on plasma sEVs that are differentially expressed in malaria patients. Plasma samples from 21 healthy subjects and 15 malaria patients were analyzed. The EV array contained 40 antibodies to capture sEVs, which were then visualized with a cocktail of biotin-conjugated CD9, CD63, and CD81 antibodies.
resultsWe detected significant differences in the protein decoration of sEVs between healthy subjects and malaria patients. We found CD106 to be the best discrimination marker based on receiver operating characteristic (ROC) analysis with an area under the curve of > 0.974. Additional ensemble feature selection revealed CD106, Osteopontin, CD81, major histocompatibility complex class II DR (HLA-DR), and heparin binding EGF like growth factor (HBEGF) together with thrombocytes to be a feature panel for discrimination between healthy and malaria. TNF-R-II correlated with HLA-A/B/C as well as CD9 with CD81, whereas Osteopontin negatively correlated with CD81 and CD9. Pathway analysis linked the herein identified proteins to IFN-γ signaling.
conclusionsEV-associated proteins can discriminate between healthy individuals and malaria patients and are candidates for future predictive biomarkers.
trial registrationThe trial was registered in the Deutsches Register Klinischer Studien (DRKS-ID: DRKS00012518).
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