Evidence map›Paper›PMID 36834989›Full record

ArticleInternational journal of molecular sciences2023

Plasma Proteomic Variables Related to COVID-19 Severity: An Untargeted nLC-MS/MS Investigation.

Lisa Pagani, Clizia Chinello, Giulia Risca, Giulia Capitoli, Lucrezia Criscuolo, Andrea Lombardi, Riccardo Ungaro, Davide Mangioni, Isabella Piga, Antonio Muscatello and 7 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Alterations in plasma proteome during acute COVID-19 and recovery.Molecular medicine (Cambridge, Mass.) · 2024
    Article
  6. Plasma Proteins Associated with COVID-19 Severity in Puerto Rico.International journal of molecular sciences · 2024
    Article
  7. Review
  8. Article
  9. 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

17 authors at 4 institutions in 1 country.

Lisa PaganiProteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy.ORCID 0000-0002-9870-932X
Clizia ChinelloProteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy.ORCID 0000-0002-7921-7768
Giulia RiscaBicocca Bioinformatics Biostatistics and Bioimaging Centre-B4, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy.ORCID 0000-0002-6389-9434
Giulia CapitoliBicocca Bioinformatics Biostatistics and Bioimaging Centre-B4, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy.ORCID 0000-0002-8178-2440
Lucrezia CriscuoloProteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy.ORCID 0000-0001-6751-3888
Andrea LombardiDepartment of Pathophysiology and Transplantation, University of Milano, 20122 Milano, Italy.ORCID 0000-0002-0383-9579
Riccardo UngaroInfectious Diseases Unit, IRCCS Ca' Granda Ospedale Maggiore Policlinico Foundation, 20122 Milano, Italy.
Davide MangioniDepartment of Pathophysiology and Transplantation, University of Milano, 20122 Milano, Italy.ORCID 0000-0002-7431-5019
Isabella PigaProteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy.ORCID 0000-0001-8221-2493
Antonio MuscatelloInfectious Diseases Unit, IRCCS Ca' Granda Ospedale Maggiore Policlinico Foundation, 20122 Milano, Italy.
Francesco BlasiDepartment of Pathophysiology and Transplantation, University of Milano, 20122 Milano, Italy.ORCID 0000-0002-2285-9970
Andrea FavalliIstituto Nazionale di Genetica Molecolare (INGM), 20122 Milano, Italy.
Martina MartinovicIstituto Nazionale di Genetica Molecolare (INGM), 20122 Milano, Italy.
Andrea GoriDepartment of Pathophysiology and Transplantation, University of Milano, 20122 Milano, Italy.ORCID 0000-0001-6587-4794
Alessandra BanderaDepartment of Pathophysiology and Transplantation, University of Milano, 20122 Milano, Italy.
Renata GrifantiniIstituto Nazionale di Genetica Molecolare (INGM), 20122 Milano, Italy.ORCID 0000-0003-0024-3355
Fulvio MagniProteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy.ORCID 0000-0002-8663-0374
University of Milano-Bicocca · ITUniversity of Milan · ITIstituto Nazionale Genetica Molecolare · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · IT

Funding

FAR 2017-2021 FAR 2017-2021Fondazione Gigi & Pupa Ferrari Onlus Pupa Ferrari OnlusRegione Lombardia POR FESR 2014-2020. Misura a sostegno dello sviluppo di collaborazioni per l'identificazione di terapie e sistemi di diagnostica, protezione e analisi per contrastare l'emergenza Coronavirus e altre emergenze virali del futuro: Caratteri POR FESR 2014-2020Regione Lombardia, regional law n° 9/2020, resolution n° 3776/2020": Programma degli interventi per la ripresa economica: sviluppo di nuovi accordi di collaborazione con le università per la Ricerca, l'Innovazione e il Trasferimento tecnologico: NephropaT regional law n° 9/2020, resolution n° 3776/2020"
6 · The paper itself

Abstract

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection leads to a wide range of clinical manifestations and determines the need for personalized and precision medicine. To better understand the biological determinants of this heterogeneity, we explored the plasma proteome of 43 COVID-19 patients with different outcomes by an untargeted liquid chromatography-mass spectrometry approach. The comparison between asymptomatic or pauci-symptomatic subjects (MILDs), and hospitalised patients in need of oxygen support therapy (SEVEREs) highlighted 29 proteins emerged as differentially expressed: 12 overexpressed in MILDs and 17 in SEVEREs. Moreover, a supervised analysis based on a decision-tree recognised three proteins (Fetuin-A, Ig lambda-2chain-C-region, Vitronectin) that are able to robustly discriminate between the two classes independently from the infection stage. In silico functional annotation of the 29 deregulated proteins pinpointed several functions possibly related to the severity; no pathway was associated exclusively to MILDs, while several only to SEVEREs, and some associated to both MILDs and SEVEREs; SARS-CoV-2 signalling pathway was significantly enriched by proteins up-expressed in SEVEREs (

Indexed as

COVID-19Patient AcuityProteomicsChromatography, LiquidHumansSARS-CoV-2Tandem Mass SpectrometrybloodCOVID-19mass spectrometryplasmaproteomicsSARS-CoV-2severe

Identifiers

PMID36834989
PMCPMC9962231
OpenAlexW4319966468

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.