# Proteomic profiling of circulating extracellular vesicles from COVID-19 patients and their impact on innate Vdelta2 T-cell response

**Authors:** Claudia Montaldo, Eleonora Cimini, Eleonora Tartaglia, Manuela Antonioli, Veronica Bordoni, Stefania Notari, Michela Notarangelo, Eleonora Torchia, Giulia Canarutto, Silvano Piazza, Vito Giuseppe D’Agostino, Valentina Mazzotta, Luisa Marchioni, Andrea Antinori, Chiara Agrati, Raffaele Strippoli

PMC · DOI: 10.3389/fimmu.2026.1748398 · Frontiers in Immunology · 2026-02-11

## TL;DR

This study shows that extracellular vesicles from severe COVID-19 patients carry proteins that boost inflammation and affect Vdelta2 T-cell activity, potentially worsening the disease.

## Contribution

The paper identifies proteomic differences in EVs from severe vs. mild COVID-19 patients and links them to enhanced Vdelta2 T-cell activation.

## Key findings

- EVs from severe patients are enriched in platelet components and show distinct protein clustering compared to mild patients and healthy donors.
- EVs from severe patients increase Vdelta2 T-cell activation and TNF-α production, suggesting a role in disease severity.
- Pathway analysis highlights upregulated processes like platelet degranulation, complement, and coagulation in severe patient EVs.

## Abstract

The crosstalk between immune cells through plasma extracellular vesicles (EVs) during SARS-CoV-2 infection may represent a significant determinant of clinical course in COVID-19 patients. EVs from SARS-CoV-2 virus-infected cells deliver their informational content to immune cells implicated in COVID-19 pathogenesis, thereby modulating pro-inflammatory immune responses during infection. γδ T cells are innate cells known for their pleiotropic properties spanning both innate and adaptive immunity and for their possible contribution to inflammation. This study aimed to characterize the biophysical profile and protein content of EVs derived from patients with severe and mild COVID-19, and to analyze their impact on the functional activity of Vδ2 T cells.

Plasma samples from 42 COVID-19 hospitalized patients (17 severe and 25 mild) were enrolled at the National Institute for Infectious Diseases Lazzaro Spallanzani in Rome. Twenty-three healthy donors (HD) served as the control group. Plasma cytokines were quantified by an automated multiplex immunoassay. EVs were purified using nickel-based isolation (NBI) and analyzed by quantitative LC-MS proteomics. Data are available via ProteomeXchange with identifier PXD072061. Characterization of EVs was performed using multiparametric flow cytometry, as well as the Vδ2 T cell functional assays. Peripheral blood mononuclear cells from 10 HD were utilized for immunological assays.

Cytometric characterization revealed that EVs from severe COVID-19 patients were enriched in platelet components compared to HD and mild patients. Protein expression of EVs from severe patients clustered differently in PCA and heatmap analyses with respect to HD and mild patients. A volcano plot revealed several proteins that were differentially expressed between EVs from mild and severe patients. A significant induction of several processes, including platelet degranulation, complement, coagulation, and innate immunity, was observed in the pathway analysis. EVs from severe COVID-19 patients enhanced the responsiveness of Vδ2 T cells to phosphoantigen, increasing their activation and proinflammatory cytokine production (TNF-α).

Proteomic differential analysis reveals the expression/regulation of innate immune-related proteins in EVs from severe patients compared to mild patients/HD and supports their potential role in modulating innate immunity. Specifically, functional analysis of Vδ2 T cells suggests that EVs may contribute to the pathogenesis of severe COVID-19 by delivering molecular signals that exacerbate innate immune-driven inflammation.

## Linked entities

- **Diseases:** SARS-CoV-2 (MONDO:0100096), COVID-19 (MONDO:0100096)

## Full-text entities

- **Genes:** SAA1 (serum amyloid A1) [NCBI Gene 6288] {aka PIG4, SAA, TP53I4}, SPARC (secreted protein acidic and cysteine rich) [NCBI Gene 6678] {aka BM-40, OI17, ON, ONT}, ADIPOQ (adiponectin, C1Q and collagen domain containing) [NCBI Gene 9370] {aka ACDC, ACRP30, ADIPQTL1, ADPN, APM-1, APM1}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, S (surface glycoprotein) [NCBI Gene 43740568] {aka spike glycoprotein}, SERPINF2 (serpin family F member 2) [NCBI Gene 5345] {aka A2AP, AAP, ALPHA-2-PI, API, PLI, alpha2AP}, VTN (vitronectin) [NCBI Gene 7448] {aka V75, VN, VNT}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, CALML3 (calmodulin like 3) [NCBI Gene 810] {aka CLP}, LAMP2 (lysosome associated membrane protein 2) [NCBI Gene 3920] {aka CD107b, DND, LAMP-2, LAMPB, LGP-96, LGP110}, C4BPA (complement component 4 binding protein alpha) [NCBI Gene 722] {aka C4BP, PRP}, PECAM1 (platelet and endothelial cell adhesion molecule 1) [NCBI Gene 5175] {aka CD31, CD31/EndoCAM, GPIIA', PECA1, PECAM-1, endoCAM}, MBL2 (mannose binding lectin 2) [NCBI Gene 4153] {aka COLEC1, HSMBPC, MBL, MBL2D, MBP, MBP-C}, HSPA8 (heat shock protein family A (Hsp70) member 8) [NCBI Gene 3312] {aka HEL-33, HEL-S-72p, HSC54, HSC70, HSC71, HSP71}, COL14A1 (collagen type XIV alpha 1 chain) [NCBI Gene 7373] {aka UND}, FGA (fibrinogen alpha chain) [NCBI Gene 2243] {aka AMYLD2, Fib2}, MASP2 (MBL associated serine protease 2) [NCBI Gene 10747] {aka MAP-2, MAP19, MASP-2, MASP1P1, sMAP}, APP (amyloid beta precursor protein) [NCBI Gene 351] {aka AAA, ABETA, ABPP, AD1, APPI, CTFgamma}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, PTPRC (protein tyrosine phosphatase receptor type C) [NCBI Gene 5788] {aka B220, CD45, CD45R, GP180, IMD105, L-CA}, SAA2 (serum amyloid A2) [NCBI Gene 6289] {aka SAA}, IGFBP3 (insulin like growth factor binding protein 3) [NCBI Gene 3486] {aka BP-53, IBP-3, IBP3, IGFBP-3}, ITGA2B (integrin subunit alpha 2b) [NCBI Gene 3674] {aka BDPLT16, BDPLT2, CD41, CD41B, FMAIT2, GP2B}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, GAPDH (glyceraldehyde-3-phosphate dehydrogenase) [NCBI Gene 2597] {aka G3PD, GAPD, HEL-S-162eP}, IGFALS (insulin like growth factor binding protein acid labile subunit) [NCBI Gene 3483] {aka ACLSD, ALS}, N (nucleocapsid phosphoprotein) [NCBI Gene 43740575], TGFB1 (transforming growth factor beta 1) [NCBI Gene 7040] {aka CAEND1, CED, DPD1, IBDIMDE, LAP, TGF-beta1}, FN1 (fibronectin 1) [NCBI Gene 2335] {aka CIG, ED-B, FINC, FN, FNZ, GFND}, E (envelope protein) [NCBI Gene 43740570], IL17A (interleukin 17A) [NCBI Gene 3605] {aka CTLA-8, CTLA8, IL-17, IL-17A, IL17, ILA17}, ORF1ab (ORF1a polyprotein;ORF1ab polyprotein) [NCBI Gene 43740578], CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}
- **Diseases:** fever (MESH:D005334), ARDS (MESH:D012128), paralysis (MESH:D010243), multiple organ dysfunctions (MESH:D009102), dyspnea (MESH:D004417), lymphopenia (MESH:D008231), HD (MESH:D000067329), respiratory tract infections (MESH:D012141), Inflammatory (MESH:D007249), tissue damage (MESH:D017695), sepsis (MESH:D018805), Infectious Diseases (MESH:D003141), Inflammatory cytokines (MESH:D000080424), cough (MESH:D003371), infection (MESH:D007239), COVID-19 (MESH:D000086382), complement (MESH:D007153), deaths (MESH:D003643), coronavirus-disease (MESH:D018352)
- **Chemicals:** E (MESH:D004540), acetonitrile (MESH:C032159), FITC (MESH:D016650), Eculizumab (MESH:C481642), nickel (MESH:D009532), formic acid (MESH:C030544), NTA (MESH:D009571), phalloidin (MESH:D010590), Brefeldin A (MESH:D020126), Trypan blue (MESH:D014343), glucose (MESH:D005947), PBS (MESH:D007854), heparin (MESH:D006493), lipid (MESH:D008055), paraformaldehyde (MESH:C003043), CO2 (MESH:D002245), TFA (MESH:D014269), glycosaminoglycans (MESH:D006025), Cy7 (-)
- **Species:** Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

51 references — full list in the complete paper: https://tomesphere.com/paper/PMC12933268/full.md

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Source: https://tomesphere.com/paper/PMC12933268