Evidence map›Paper›PMID 36348270›Full record

ArticleClinical proteomics2022

Proteomic analysis identifies a signature of disease severity in the plasma of COVID-19 pneumonia patients associated to neutrophil, platelet and complement activation.

Fabiola Ciccosanti, Manuela Antonioli, Alessandra Sacchi, Stefania Notari, Anna Farina, Alessia Beccacece, Marisa Fusto, Alessandra Vergori, Gianpiero D'Offizi, Fabrizio Taglietti and 8 more

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% of its field
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Immune cell disorder in viral pneumonia.Journal of translational medicine · 2026
    Review
  5. Article
  6. Article
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  9. Review
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  11. Article
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  13. Review
  14. Article
  15. Article
  16. Article
  17. The Impact of Serum/Plasma Proteomics on SARS-CoV-2 Diagnosis and Prognosis.International journal of molecular sciences · 2024
    Review
  18. Plasma Proteins Associated with COVID-19 Severity in Puerto Rico.International journal of molecular sciences · 2024
    Article
  19. Article
  20. Article
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

18 authors at 3 institutions in 1 country.

Fabiola CiccosantiDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Manuela AntonioliDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Alessandra SacchiDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Stefania NotariDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Anna FarinaInfectious Disease-Clinical Department, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Alessia BeccaceceInfectious Disease-Clinical Department, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Marisa FustoInfectious Disease-Clinical Department, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Alessandra VergoriInfectious Disease-Clinical Department, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Gianpiero D'OffiziInfectious Disease-Clinical Department, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Fabrizio TagliettiInfectious Disease-Clinical Department, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Andrea AntinoriInfectious Disease-Clinical Department, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Emanuele NicastriInfectious Disease-Clinical Department, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Luisa MarchioniInfectious Disease-Clinical Department, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Fabrizio PalmieriInfectious Disease-Clinical Department, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Giuseppe IppolitoDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Mauro PiacentiniDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy.
Chiara AgratiDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy. chiara.agrati@opbg.net.
Gian Maria FimiaDepartment of Epidemiology, Preclinical Research and Advanced Diagnostics, National Institute for Infectious Diseases IRCCS "L. Spallanzani", Rome, Italy. gianmaria.fimia@inmi.it.
Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITSapienza University of Rome · IT

Funding

Horizon 2020 Framework Programme European Virus Archive GLOBAL -- 871029Ministero della Salute COVID-2020-12371735Ministero della Salute COVID-2020- 12371817
6 · The paper itself

Abstract

Most patients infected with SARS-CoV-2 display mild symptoms with good prognosis, while 20% of patients suffer from severe viral pneumonia and up to 5% may require intensive care unit (ICU) admission due to severe acute respiratory syndrome, which could be accompanied by multiorgan failure.Plasma proteomics provide valuable and unbiased information about disease progression and therapeutic candidates. Recent proteomic studies have identified molecular changes in plasma of COVID-19 patients that implied significant dysregulation of several aspects of the inflammatory response accompanied by a general metabolic suppression. However, which of these plasma alterations are associated with disease severity remains only partly characterized.A known limitation of proteomic studies of plasma samples is the large difference in the macromolecule abundance, with concentration spanning at least 10 orders of magnitude. To improve the coverage of plasma contents, we performed a deep proteomic analysis of plasma from 10 COVID-19 patients with severe/fatal pneumonia compared to 10 COVID-19 patients with pneumonia who did not require ICU admission (non-ICU). To this aim, plasma samples were first depleted of the most abundant proteins, trypsin digested and peptides subjected to a high pH reversed-phase peptide fractionation before LC-MS analysis.These results highlighted an increase of proteins involved in neutrophil and platelet activity and acute phase response, which is significantly higher in severe/fatal COVID-19 patients when compared to non-ICU ones. Importantly, these changes are associated with a selective induction of complement cascade factors in severe/fatal COVID-19 patients. Data are available via ProteomeXchange with identifier PXD036491. Among these alterations, we confirmed by ELISA that higher levels of the neutrophil granule proteins DEFA3 and LCN2 are present in COVID-19 patients requiring ICU admission when compared to non-ICU and healthy donors.Altogether, our study provided an in-depth view of plasma proteome changes that occur in COVID-19 patients in relation to disease severity, which can be helpful to identify therapeutic strategies to improve the disease outcome.

Indexed as

ComplementNeutrophilsPlasmaPlateletsProteomicsSARS CoV 2

Identifiers

PMID36348270
PMCPMC9641302
OpenAlexW4308835049

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Registered trials

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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 OpenQuestion graph.