Dobra, Gabriella and Gyukity-Sebestyén, Edina and Bukva, Mátyás and Böröczky, Timea and Nyiraty, Szabolcs and Bordács, Barbara Anikó and Várkonyi, Tamás and Kocsis, Andrea and Szabó, Zoltán and Kecskeméti, Gábor and Polgár, Tamás Ferenc and Széll, Márta and Buzás, Krisztina (2025) Proteomic profiling of serum small extracellular vesicles predicts post-COVID syndrome development. CLINICAL IMMUNOLOGY, 278. No. -110532. ISSN 1521-6616
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Abstract
Post-COVID syndrome affects 10-35 % of COVID-19 patients, and up to 85 % of hospitalized individuals, underscoring the need for early identification of high-risk cases. We hypothesized that the proteomic profile of serum small extracellular vesicles (sEVs) obtained during acute SARS-CoV-2 infection could predict post-COVID syndrome. Serum samples from 59 patients, stratified as asymptomatic, moderate, or severe, were analyzed. sEVs were isolated, characterized by electron microscopy, nanoparticle tracking, and flow cytometry, then profiled via LC-MS. Classification models integrating comorbidities, acute symptoms, and sEV proteomics distinguished the three groups, with sEV data outperforming conventional measures. Of 620 identified proteins, 30 showed significant differences between symptomatic and asymptomatic patients, including 12 linked to complement activation. ELISA confirmed LC-MS results that serum sEVs of post-COVID patients had altered C1 inhibitor, C3, and C5 levels. These results suggest that sEV-based proteomics can enable earlier detection and more targeted follow-up for individuals at risk of post-COVID syndrome.
| Item Type: | Article |
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| Additional Information: | Funding Agency and Grant Number: Hungarian Academy of Sciences [PC2022-10/2022]; Szent-Gyorgyi Albert Research Fund provided by University of Szeged [OTKA-K143255, TKP-2021-EGA-09]; National Research, Development and Innovation Fund [TKP2021-EGA] Funding text: The project received funding from the Hungarian Academy of Sciences under the PC2022-10/2022 project number. The study was also supported by the following research grants: OTKA-K143255 (K.B.) , the Szent-Gyorgyi Albert Research Fund provided by University of Szeged (K.B.) , and the TKP-2021-EGA-09 (K.B.) . "Project no. TKP-2021-EGA-09 has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-EGA funding scheme." |
| Uncontrolled Keywords: | Extracellular vesicles, Proteomics, Post-COVID syndrome, Complement, system Biomarkers |
| Subjects: | Q Science / természettudomány > QH Natural history / természetrajz > QH301 Biology / biológia Q Science / természettudomány > QH Natural history / természetrajz > QH301 Biology / biológia > QH3015 Molecular biology / molekuláris biológia Q Science / természettudomány > QR Microbiology / mikrobiológia Q Science / természettudomány > QR Microbiology / mikrobiológia > QR180 Immunology / immunológia |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 10 Feb 2026 13:31 |
| Last Modified: | 10 Feb 2026 13:31 |
| URI: | https://real.mtak.hu/id/eprint/233660 |
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