September 23, 2025Journal of VirologyOpen Access

Prediction of COVID-19 disease progression by multiparametric analysis of circulating extracellular vesicles with flow cytometry

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Authors

EHElizabeth J. HammerIndiana University CFCharlotte FlynnEast Sussex County Council JRJochen RößlerUniversity Clinic of Traumatology

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Implication

Observational analysis detects spike protein on extracellular vesicles in COVID-19 patients, suggesting predictive biomarkers for severe disease progression.

Key Points

Detection of spike-positive extracellular vesicles indicates systemic SARS-CoV-2 infection and potential disease severity.
A direct correlation was observed between circulating spike-expressing extracellular vesicles and disease outcomes in COVID-19 patients.
Application of flow cytometry provides a novel approach for identifying early biomarkers of COVID-19 disease progression.
This method may enhance triage effectiveness, indicating high-risk patients early in a hospital setting.

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Hammer et al. (2025) studied this question.

synapsesocial.com/papers/68d440a6713b0b5dfea7fe9a https://doi.org/10.1128/jvi.01189-25

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Implication

Observational analysis detects spike protein on extracellular vesicles in COVID-19 patients, suggesting predictive biomarkers for severe disease progression.

Prediction of COVID-19 disease progression by multiparametric analysis of circulating extracellular vesicles with flow cytometry

Discussion

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Implication

Key Points

Cite This Study

Prediction of COVID-19 disease progression by multiparametric analysis of circulating extracellular vesicles with flow cytometry

Discussion

Member takes

Implication

Key Points

Cite This Study

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