Extracellular Vesicles and Citrullinated Histone H3 in Coronavirus Disease 2019 Patients.


Journal

Thrombosis and haemostasis
ISSN: 2567-689X
Titre abrégé: Thromb Haemost
Pays: Germany
ID NLM: 7608063

Informations de publication

Date de publication:
01 2022
Historique:
aheadofprint: 02 06 2021
pubmed: 3 6 2021
medline: 21 1 2022
entrez: 2 6 2021
Statut: ppublish

Résumé

Pulmonary thrombus formation is a hallmark of coronavirus disease 2019 (COVID-19). A dysregulated immune response culminating in thromboinflammation has been described, but the pathomechanisms remain unclear. We studied 41 adult COVID-19 patients with positive results on reverse-transcriptase polymerase-chain-reaction assays and 37 sex- and age-matched healthy controls. Number and surface characteristics of extracellular vesicles (EVs) and citrullinated histone H3 levels were determined in plasma upon inclusion by flow cytometry and immunoassay. In total, 20 patients had severe and 21 nonsevere disease. The number of EV (median [25th, 75th percentile]) was significantly higher in patients compared with controls (658.8 [353.2, 876.6] vs. 435.5 [332.5, 585.3], geometric mean ratio [95% confidence intervals]: 2.6 [1.9, 3.6]; EV and citrullinated histone H3 are associated with COVID-19 and could provide information regarding pathophysiology of the disease.

Identifiants

pubmed: 34077977
doi: 10.1055/a-1522-4131
doi:

Substances chimiques

Biomarkers 0
Histones 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113-122

Subventions

Organisme : COVID041
ID : Medizinisch-Wissenschaftliche Fonds des Bürgermeisters der Bundeshauptstadt Wien

Informations de copyright

Thieme. All rights reserved.

Déclaration de conflit d'intérêts

None declared.

Auteurs

Ludwig Traby (L)

Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Marietta Kollars (M)

Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Manuel Kussmann (M)

Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Matthias Karer (M)

Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Hana Šinkovec (H)

Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.

Elisabeth Lobmeyr (E)

Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Alexander Hermann (A)

Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Thomas Staudinger (T)

Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Peter Schellongowski (P)

Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Bernhard Rössler (B)

Medical Simulation and Emergency Management Research Group, Department of Anesthesia, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria.

Heinz Burgmann (H)

Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Paul A Kyrle (PA)

Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Sabine Eichinger (S)

Department of Medicine I, Medical University of Vienna, Vienna, Austria.

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Classifications MeSH