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Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19

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) meta...

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Autores principales: Recktenwald, Steffen M, Simionato, Greta, Lopes, Marcelle GM, Gamboni, Fabia, Dzieciatkowska, Monika, Meybohm, Patrick, Zacharowski, Kai, von Knethen, Andreas, Wagner, Christian, Kaestner, Lars, D'Alessandro, Angelo, Quint, Stephan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767455/
https://www.ncbi.nlm.nih.gov/pubmed/36537079
http://dx.doi.org/10.7554/eLife.81316
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author Recktenwald, Steffen M
Simionato, Greta
Lopes, Marcelle GM
Gamboni, Fabia
Dzieciatkowska, Monika
Meybohm, Patrick
Zacharowski, Kai
von Knethen, Andreas
Wagner, Christian
Kaestner, Lars
D'Alessandro, Angelo
Quint, Stephan
author_facet Recktenwald, Steffen M
Simionato, Greta
Lopes, Marcelle GM
Gamboni, Fabia
Dzieciatkowska, Monika
Meybohm, Patrick
Zacharowski, Kai
von Knethen, Andreas
Wagner, Christian
Kaestner, Lars
D'Alessandro, Angelo
Quint, Stephan
author_sort Recktenwald, Steffen M
collection PubMed
description 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.
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spelling pubmed-97674552022-12-21 Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19 Recktenwald, Steffen M Simionato, Greta Lopes, Marcelle GM Gamboni, Fabia Dzieciatkowska, Monika Meybohm, Patrick Zacharowski, Kai von Knethen, Andreas Wagner, Christian Kaestner, Lars D'Alessandro, Angelo Quint, Stephan eLife Cell Biology 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. eLife Sciences Publications, Ltd 2022-12-20 /pmc/articles/PMC9767455/ /pubmed/36537079 http://dx.doi.org/10.7554/eLife.81316 Text en © 2022, Recktenwald, Simionato et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Cell Biology
Recktenwald, Steffen M
Simionato, Greta
Lopes, Marcelle GM
Gamboni, Fabia
Dzieciatkowska, Monika
Meybohm, Patrick
Zacharowski, Kai
von Knethen, Andreas
Wagner, Christian
Kaestner, Lars
D'Alessandro, Angelo
Quint, Stephan
Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19
title Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19
title_full Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19
title_fullStr Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19
title_full_unstemmed Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19
title_short Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19
title_sort cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe covid-19
topic Cell Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767455/
https://www.ncbi.nlm.nih.gov/pubmed/36537079
http://dx.doi.org/10.7554/eLife.81316
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