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Surface proteome of plasma extracellular vesicles as mechanistic and clinical biomarkers for malaria
PURPOSE: Malaria 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 m...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545645/ https://www.ncbi.nlm.nih.gov/pubmed/36961624 http://dx.doi.org/10.1007/s15010-023-02022-x |
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author | Jung, Anna Lena Møller Jørgensen, Malene Bæk, Rikke Artho, Marie Griss, Kathrin Han, Maria Bertrams, Wilhelm Greulich, Timm Koczulla, Rembert Hippenstiel, Stefan Heider, Dominik Suttorp, Norbert Schmeck, Bernd |
author_facet | Jung, Anna Lena Møller Jørgensen, Malene Bæk, Rikke Artho, Marie Griss, Kathrin Han, Maria Bertrams, Wilhelm Greulich, Timm Koczulla, Rembert Hippenstiel, Stefan Heider, Dominik Suttorp, Norbert Schmeck, Bernd |
author_sort | Jung, Anna Lena |
collection | PubMed |
description | PURPOSE: Malaria 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). METHODS: We 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. RESULTS: We 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. CONCLUSION: sEV-associated proteins can discriminate between healthy individuals and malaria patients and are candidates for future predictive biomarkers. TRIAL REGISTRATION: The trial was registered in the Deutsches Register Klinischer Studien (DRKS-ID: DRKS00012518). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s15010-023-02022-x. |
format | Online Article Text |
id | pubmed-10545645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-105456452023-10-04 Surface proteome of plasma extracellular vesicles as mechanistic and clinical biomarkers for malaria Jung, Anna Lena Møller Jørgensen, Malene Bæk, Rikke Artho, Marie Griss, Kathrin Han, Maria Bertrams, Wilhelm Greulich, Timm Koczulla, Rembert Hippenstiel, Stefan Heider, Dominik Suttorp, Norbert Schmeck, Bernd Infection Research PURPOSE: Malaria 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). METHODS: We 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. RESULTS: We 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. CONCLUSION: sEV-associated proteins can discriminate between healthy individuals and malaria patients and are candidates for future predictive biomarkers. TRIAL REGISTRATION: The trial was registered in the Deutsches Register Klinischer Studien (DRKS-ID: DRKS00012518). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s15010-023-02022-x. Springer Berlin Heidelberg 2023-03-24 2023 /pmc/articles/PMC10545645/ /pubmed/36961624 http://dx.doi.org/10.1007/s15010-023-02022-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Jung, Anna Lena Møller Jørgensen, Malene Bæk, Rikke Artho, Marie Griss, Kathrin Han, Maria Bertrams, Wilhelm Greulich, Timm Koczulla, Rembert Hippenstiel, Stefan Heider, Dominik Suttorp, Norbert Schmeck, Bernd Surface proteome of plasma extracellular vesicles as mechanistic and clinical biomarkers for malaria |
title | Surface proteome of plasma extracellular vesicles as mechanistic and clinical biomarkers for malaria |
title_full | Surface proteome of plasma extracellular vesicles as mechanistic and clinical biomarkers for malaria |
title_fullStr | Surface proteome of plasma extracellular vesicles as mechanistic and clinical biomarkers for malaria |
title_full_unstemmed | Surface proteome of plasma extracellular vesicles as mechanistic and clinical biomarkers for malaria |
title_short | Surface proteome of plasma extracellular vesicles as mechanistic and clinical biomarkers for malaria |
title_sort | surface proteome of plasma extracellular vesicles as mechanistic and clinical biomarkers for malaria |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545645/ https://www.ncbi.nlm.nih.gov/pubmed/36961624 http://dx.doi.org/10.1007/s15010-023-02022-x |
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