Hammer, E.* ; Flynn, C.* ; Rössler, J. ; Erder, J.* ; Napieralski, R.* ; Fricke, L.* ; Campbell, B.* ; Feuerherd, M. ; Esslinger, F. ; von Brunn, A. * ; Weber, T.* ; King, S.* ; Tan, S.* ; Brisson, A.R.* ; Protzer, U. ; Schricker, G.* ; Gärtner, K.* ; Ebert, G. ; Moretti, A.* ; Klein, F.* ; Knoops, K.* ; Heeren, R.* ; Hammerschmidt, W. ; Zeidler, R. ; Wilhelm, O.* ; Knolle, P.A.* ; Höchst, B.*
Prediction of COVID-19 disease progression by multiparametric analysis of circulating extracellular vesicles with flow cytometry.
J. Virol. 99:e0118925 (2025)
Extracellular vesicles (EVs) are released from all cells of the body. They are considered to mirror the state of the cells from which they are released and circulate in the blood, suggesting a possible use of EV analysis for diagnostic purposes. Here, we report that the analysis of single EVs by flow cytometry can detect infection of cells with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by identifying expression of the SARS-CoV-2 spike (S) protein on the surface of EVs and the cellular origin of EVs by detecting cell-type-specific markers such as troponin (cTNT1) for cardiomyocytes. In coronavirus-associated disease 19 (COVID-19) patients, we detected a direct correlation of the frequencies of circulating S-expressing EVs, but not of cTNT/S-co-expressing EVs, with the subsequent development of a severe disease course. Detection of circulating S-expressing EVs indicates widespread SARS-CoV-2 infection in the body, which may contribute to the immune pathogenesis that triggers tissue and organ damage in COVID-19. Our findings suggest that detecting circulating viral antigen-expressing EVs may provide crucial predictive information on infection-associated disease courses in situations of a future viral pandemic.IMPORTANCEThe ability to predict which patients infected with the SARS-CoV-2 virus will develop severe disease remains a significant clinical challenge. The present study demonstrates that EVs in the peripheral blood, carrying the SARS-CoV-2 spike protein, can be detected by flow cytometry and serve as early biomarkers of disease progression. In contradistinction to PCR or serology, this method provides insight into systemic viral spread and potential organ involvement. The early identification of spike-positive EVs at the time of hospital admission has the potential to facilitate the timely identification of high-risk patients, thereby enhancing the efficacy of triage and subsequent care. This approach may also be of value in terms of facilitating a more rapid and precise response to future virus pandemics.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Covid-19 ; Sars-cov2 ; Extracellular Vesicles ; Flow Cytometry ; Progress Prediction ; Virosome
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2025
Prepublished im Jahr
0
HGF-Berichtsjahr
2025
ISSN (print) / ISBN
0022-538X
e-ISSN
1098-5514
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 99,
Heft: 10,
Seiten: ,
Artikelnummer: e0118925
Supplement: ,
Reihe
Verlag
American Society for Microbiology (ASM)
Verlagsort
1752 N St Nw, Washington, Dc 20036-2904 Usa
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30203 - Molecular Targets and Therapies
Forschungsfeld(er)
Immune Response and Infection
PSP-Element(e)
G-501500-001
G-502700-003
G-502700-010
G-501501-001
G-502799-701
Förderungen
DFG
German Center for Infection Research (DZIF), Munich site
Faculty of Medicine of the Technical University of Munich
Program for the Promotion of Corona Research Projects of the Free State of Bavaria
Corona Research Projects of the Free State of Bavaria
Copyright
Erfassungsdatum
2025-11-04