Evidence map›Paper›PMID 41756302›Full record

ArticleFrontiers in immunology2026

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

Claudia Montaldo, Eleonora Cimini, Eleonora Tartaglia, Manuela Antonioli, Veronica Bordoni, Stefania Notari, Michela Notarangelo, Eleonora Torchia, Giulia Canarutto, Silvano Piazza and 6 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Claudia MontaldoGene Expression Laboratory, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy.
Eleonora CiminiCellular Immunology and Pharmacology Laboratory, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy.
Eleonora TartagliaLaboratory of Virology and Biosafety Laboratories, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy.
Manuela AntonioliClinical and Research Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy.
Veronica BordoniDepartment of Hematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital (IRCCS), Rome, Italy.
Stefania NotariCellular Immunology and Pharmacology Laboratory, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy.
Michela NotarangeloDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Eleonora TorchiaDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Giulia CanaruttoComputational Biology Unit, International Centre for Genetic Engineering and Biotechnology, ICGEB, Trieste, Italy.
Silvano PiazzaComputational Biology Unit, International Centre for Genetic Engineering and Biotechnology, ICGEB, Trieste, Italy.
Vito Giuseppe D'AgostinoDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Valentina MazzottaClinical and Research Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy.
Luisa MarchioniClinical and Research Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy.
Andrea AntinoriClinical and Research Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy.
Chiara AgratiDepartment of Hematology/Oncology, Cell and Gene Therapy, Bambino Gesù Children's Hospital (IRCCS), Rome, Italy.
Raffaele StrippoliGene Expression Laboratory, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: 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. Methods: 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. Results: 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). Conclusions: 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.

Indexed as

COVID-19Extracellular VesiclesImmunity, InnateIntraepithelial LymphocytesReceptors, Antigen, T-Cell, gamma-deltaSARS-CoV-2T-LymphocytesAdultAgedCytokinesFemaleHumansMaleMiddle AgedProteomeProteomicsCytokinesProteomeReceptors, Antigen, T-Cell, gamma-deltaEVSextracellular vesiclesgamma delta T lymphocytesinflammatory cytokinesquantitative proteomicsSARS-CoV2

Identifiers

PMID41756302
PMCPMC12933268

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.