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Extracellular vesicle features are associated with COVID‐19 severity
COVID‐19 is heterogeneous; therefore, it is crucial to identify early biomarkers for adverse outcomes. Extracellular vesicles (EV) are involved in the pathophysiology of COVID‐19 and have both negative and positive effects. The objective of this study was to identify the potential role of EV in the...
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Published in: | Journal of cellular and molecular medicine 2023-12, Vol.27 (24), p.4107-4117 |
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creator | Caponnetto, Federica De Martino, Maria Stefanizzi, Daniele Del Sal, Riccardo Manini, Ivana Kharrat, Feras D'Aurizio, Federica Fabris, Martina Visentini, Daniela Poz, Donatella Sozio, Emanuela Tascini, Carlo Cesselli, Daniela Isola, Miriam Beltrami, Antonio Paolo Curcio, Francesco |
description | COVID‐19 is heterogeneous; therefore, it is crucial to identify early biomarkers for adverse outcomes. Extracellular vesicles (EV) are involved in the pathophysiology of COVID‐19 and have both negative and positive effects. The objective of this study was to identify the potential role of EV in the prognostic stratification of COVID‐19 patients. A total of 146 patients with severe or critical COVID‐19 were enrolled. Demographic and comorbidity characteristics were collected, together with routine haematology, blood chemistry and lymphocyte subpopulation data. Flow cytometric characterization of the dimensional and antigenic properties of COVID‐19 patients' plasma EVs was conducted. Elastic net logistic regression with cross‐validation was employed to identify the best model for classifying critically ill patients. Features of smaller EVs (i.e. the fraction of EVs smaller than 200 nm expressing either cluster of differentiation [CD] 31, CD 140b or CD 42b), albuminemia and the percentage of monocytes expressing human leukocyte antigen DR (HLA‐DR) were associated with a better outcome. Conversely, the proportion of larger EVs expressing N‐cadherin, CD 34, CD 56, CD31 or CD 45, interleukin 6, red cell width distribution (RDW), N‐terminal pro‐brain natriuretic peptide (NT‐proBNP), age, procalcitonin, Charlson Comorbidity Index and pro‐adrenomedullin were associated with disease severity. Therefore, the simultaneous assessment of EV dimensions and their antigenic properties complements laboratory workup and helps in patient stratification. |
doi_str_mv | 10.1111/jcmm.17996 |
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Extracellular vesicles (EV) are involved in the pathophysiology of COVID‐19 and have both negative and positive effects. The objective of this study was to identify the potential role of EV in the prognostic stratification of COVID‐19 patients. A total of 146 patients with severe or critical COVID‐19 were enrolled. Demographic and comorbidity characteristics were collected, together with routine haematology, blood chemistry and lymphocyte subpopulation data. Flow cytometric characterization of the dimensional and antigenic properties of COVID‐19 patients' plasma EVs was conducted. Elastic net logistic regression with cross‐validation was employed to identify the best model for classifying critically ill patients. Features of smaller EVs (i.e. the fraction of EVs smaller than 200 nm expressing either cluster of differentiation [CD] 31, CD 140b or CD 42b), albuminemia and the percentage of monocytes expressing human leukocyte antigen DR (HLA‐DR) were associated with a better outcome. Conversely, the proportion of larger EVs expressing N‐cadherin, CD 34, CD 56, CD31 or CD 45, interleukin 6, red cell width distribution (RDW), N‐terminal pro‐brain natriuretic peptide (NT‐proBNP), age, procalcitonin, Charlson Comorbidity Index and pro‐adrenomedullin were associated with disease severity. Therefore, the simultaneous assessment of EV dimensions and their antigenic properties complements laboratory workup and helps in patient stratification.</description><identifier>ISSN: 1582-1838</identifier><identifier>EISSN: 1582-4934</identifier><identifier>DOI: 10.1111/jcmm.17996</identifier><identifier>PMID: 37964734</identifier><language>eng</language><publisher>England: John Wiley & Sons, Inc</publisher><subject>Adrenomedullin ; Antibodies ; apoptotic bodies ; biomarker ; Biomarkers ; Blood platelets ; Brain natriuretic peptide ; Comorbidity ; Coronaviruses ; COVID-19 ; Cytokines ; exosomes ; Extracellular vesicles ; Fines & penalties ; Flow cytometry ; Hematology ; Histocompatibility antigen HLA ; Infections ; Interleukin 6 ; Lymphocytes ; machine learning ; microvesicles ; Monocytes ; N-Cadherin ; Original ; outcomes ; Pandemics ; Physiology ; Plasma ; Procalcitonin ; Regression analysis ; SARS‐CoV2 ; Severe acute respiratory syndrome ; Variables</subject><ispartof>Journal of cellular and molecular medicine, 2023-12, Vol.27 (24), p.4107-4117</ispartof><rights>2023 The Authors. published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.</rights><rights>2023 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.</rights><rights>2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c4086-f88df7f992fe72d72f143f1ac99608ada5a8d5015b1d8529e96ab9721e13f5a13</cites><orcidid>0000-0002-0679-2710</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2904901589/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2904901589?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,11562,25753,27924,27925,37012,37013,44590,46052,46476,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37964734$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Caponnetto, Federica</creatorcontrib><creatorcontrib>De Martino, Maria</creatorcontrib><creatorcontrib>Stefanizzi, Daniele</creatorcontrib><creatorcontrib>Del Sal, Riccardo</creatorcontrib><creatorcontrib>Manini, Ivana</creatorcontrib><creatorcontrib>Kharrat, Feras</creatorcontrib><creatorcontrib>D'Aurizio, Federica</creatorcontrib><creatorcontrib>Fabris, Martina</creatorcontrib><creatorcontrib>Visentini, Daniela</creatorcontrib><creatorcontrib>Poz, Donatella</creatorcontrib><creatorcontrib>Sozio, Emanuela</creatorcontrib><creatorcontrib>Tascini, Carlo</creatorcontrib><creatorcontrib>Cesselli, Daniela</creatorcontrib><creatorcontrib>Isola, Miriam</creatorcontrib><creatorcontrib>Beltrami, Antonio Paolo</creatorcontrib><creatorcontrib>Curcio, Francesco</creatorcontrib><title>Extracellular vesicle features are associated with COVID‐19 severity</title><title>Journal of cellular and molecular medicine</title><addtitle>J Cell Mol Med</addtitle><description>COVID‐19 is heterogeneous; therefore, it is crucial to identify early biomarkers for adverse outcomes. Extracellular vesicles (EV) are involved in the pathophysiology of COVID‐19 and have both negative and positive effects. The objective of this study was to identify the potential role of EV in the prognostic stratification of COVID‐19 patients. A total of 146 patients with severe or critical COVID‐19 were enrolled. Demographic and comorbidity characteristics were collected, together with routine haematology, blood chemistry and lymphocyte subpopulation data. Flow cytometric characterization of the dimensional and antigenic properties of COVID‐19 patients' plasma EVs was conducted. Elastic net logistic regression with cross‐validation was employed to identify the best model for classifying critically ill patients. Features of smaller EVs (i.e. the fraction of EVs smaller than 200 nm expressing either cluster of differentiation [CD] 31, CD 140b or CD 42b), albuminemia and the percentage of monocytes expressing human leukocyte antigen DR (HLA‐DR) were associated with a better outcome. Conversely, the proportion of larger EVs expressing N‐cadherin, CD 34, CD 56, CD31 or CD 45, interleukin 6, red cell width distribution (RDW), N‐terminal pro‐brain natriuretic peptide (NT‐proBNP), age, procalcitonin, Charlson Comorbidity Index and pro‐adrenomedullin were associated with disease severity. Therefore, the simultaneous assessment of EV dimensions and their antigenic properties complements laboratory workup and helps in patient stratification.</description><subject>Adrenomedullin</subject><subject>Antibodies</subject><subject>apoptotic bodies</subject><subject>biomarker</subject><subject>Biomarkers</subject><subject>Blood platelets</subject><subject>Brain natriuretic peptide</subject><subject>Comorbidity</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Cytokines</subject><subject>exosomes</subject><subject>Extracellular vesicles</subject><subject>Fines & penalties</subject><subject>Flow cytometry</subject><subject>Hematology</subject><subject>Histocompatibility antigen HLA</subject><subject>Infections</subject><subject>Interleukin 6</subject><subject>Lymphocytes</subject><subject>machine 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vesicle features are associated with COVID‐19 severity</title><author>Caponnetto, Federica ; De Martino, Maria ; Stefanizzi, Daniele ; Del Sal, Riccardo ; Manini, Ivana ; Kharrat, Feras ; D'Aurizio, Federica ; Fabris, Martina ; Visentini, Daniela ; Poz, Donatella ; Sozio, Emanuela ; Tascini, Carlo ; Cesselli, Daniela ; Isola, Miriam ; Beltrami, Antonio Paolo ; Curcio, Francesco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4086-f88df7f992fe72d72f143f1ac99608ada5a8d5015b1d8529e96ab9721e13f5a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adrenomedullin</topic><topic>Antibodies</topic><topic>apoptotic bodies</topic><topic>biomarker</topic><topic>Biomarkers</topic><topic>Blood platelets</topic><topic>Brain natriuretic 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medicine</jtitle><addtitle>J Cell Mol Med</addtitle><date>2023-12</date><risdate>2023</risdate><volume>27</volume><issue>24</issue><spage>4107</spage><epage>4117</epage><pages>4107-4117</pages><issn>1582-1838</issn><eissn>1582-4934</eissn><abstract>COVID‐19 is heterogeneous; therefore, it is crucial to identify early biomarkers for adverse outcomes. Extracellular vesicles (EV) are involved in the pathophysiology of COVID‐19 and have both negative and positive effects. The objective of this study was to identify the potential role of EV in the prognostic stratification of COVID‐19 patients. A total of 146 patients with severe or critical COVID‐19 were enrolled. Demographic and comorbidity characteristics were collected, together with routine haematology, blood chemistry and lymphocyte subpopulation data. Flow cytometric characterization of the dimensional and antigenic properties of COVID‐19 patients' plasma EVs was conducted. Elastic net logistic regression with cross‐validation was employed to identify the best model for classifying critically ill patients. Features of smaller EVs (i.e. the fraction of EVs smaller than 200 nm expressing either cluster of differentiation [CD] 31, CD 140b or CD 42b), albuminemia and the percentage of monocytes expressing human leukocyte antigen DR (HLA‐DR) were associated with a better outcome. Conversely, the proportion of larger EVs expressing N‐cadherin, CD 34, CD 56, CD31 or CD 45, interleukin 6, red cell width distribution (RDW), N‐terminal pro‐brain natriuretic peptide (NT‐proBNP), age, procalcitonin, Charlson Comorbidity Index and pro‐adrenomedullin were associated with disease severity. Therefore, the simultaneous assessment of EV dimensions and their antigenic properties complements laboratory workup and helps in patient stratification.</abstract><cop>England</cop><pub>John Wiley & Sons, Inc</pub><pmid>37964734</pmid><doi>10.1111/jcmm.17996</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-0679-2710</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adrenomedullin Antibodies apoptotic bodies biomarker Biomarkers Blood platelets Brain natriuretic peptide Comorbidity Coronaviruses COVID-19 Cytokines exosomes Extracellular vesicles Fines & penalties Flow cytometry Hematology Histocompatibility antigen HLA Infections Interleukin 6 Lymphocytes machine learning microvesicles Monocytes N-Cadherin Original outcomes Pandemics Physiology Plasma Procalcitonin Regression analysis SARS‐CoV2 Severe acute respiratory syndrome Variables |
title | Extracellular vesicle features are associated with COVID‐19 severity |
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