Please use this identifier to cite or link to this item:
doi:10.22028/D291-38712
Title: | Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19 |
Author(s): | Recktenwald, Steffen M. Simionato, Greta Lopes, Marcelle G. M. Gamboni, Fabia Dzieciatkowska, Monika Meybohm, Patrick Zacharowski, Kai von Knethen, Andreas Wagner, Christian Kaestner, Lars D'Alessandro, Angelo Quint, Stephan |
Language: | English |
Title: | eLife |
Volume: | 11 |
Publisher/Platform: | eLife Sciences Publications |
Year of Publication: | 2022 |
DDC notations: | 500 Science |
Publikation type: | Journal Article |
Abstract: | Coronavirus disease 2019 (COVID-19) is caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and can affect multiple organs, among which is the circulatory system. Inflammation and mortality risk markers were previously detected in COVID-19 plasma and red blood cells (RBCs) metabolic and proteomic profiles. Additionally, biophysical properties, such as deformability, were found to be changed during the infection. Based on such data, we aim to better characterize RBC functions in COVID-19. We evaluate the flow properties of RBCs in severe COVID-19 patients admitted to the intensive care unit by using microfluidic techniques and automated methods, including artificial neural networks, for an unbiased RBC analysis. We find strong flow and RBC shape impairment in COVID-19 samples and demonstrate that such changes are reversible upon suspension of COVID-19 RBCs in healthy plasma. Vice versa, healthy RBCs resemble COVID-19 RBCs when suspended in COVID-19 plasma. Proteomics and metabolomics analyses allow us to detect the effect of plasma exchanges on both plasma and RBCs and demonstrate a new role of RBCs in maintaining plasma equilibria at the expense of their flow properties. Our findings provide a framework for further investigations of clinical relevance for therapies against COVID-19 and possibly other infectious diseases. |
DOI of the first publication: | 10.7554/eLife.81316 |
URL of the first publication: | https://doi.org/10.7554/eLife.81316 |
Link to this record: | urn:nbn:de:bsz:291--ds-387129 hdl:20.500.11880/34890 http://dx.doi.org/10.22028/D291-38712 |
ISSN: | 2050-084X |
Date of registration: | 17-Jan-2023 |
Faculty: | NT - Naturwissenschaftlich- Technische Fakultät |
Department: | NT - Physik |
Professorship: | NT - Prof. Dr. Christian Wagner |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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elife-81316-v1.pdf | 5,11 MB | Adobe PDF | View/Open |
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