Evidence map›Paper›PMID 35085774›Full record

Observational studyFree radical biology & medicine2022

MS-based targeted profiling of oxylipins in COVID-19: A new insight into inflammation regulation.

Denise Biagini, Maria Franzini, Paolo Oliveri, Tommaso Lomonaco, Silvia Ghimenti, Andrea Bonini, Federico Vivaldi, Lisa Macera, Laurence Balas, Thierry Durand and 6 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Free radical biology & medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

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  8. Identification of novel FRedox biology · 2024
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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 at 6 institutions in 2 countries.

Denise BiaginiDepartment of Chemistry and Industrial Chemistry, University of Pisa, Italy. Electronic address: denise.biagini@dcci.unipi.it.
Maria FranziniDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Italy.
Paolo OliveriDepartment of Pharmacy, University of Genoa, Italy.
Tommaso LomonacoDepartment of Chemistry and Industrial Chemistry, University of Pisa, Italy.
Silvia GhimentiDepartment of Chemistry and Industrial Chemistry, University of Pisa, Italy.
Andrea BoniniDepartment of Chemistry and Industrial Chemistry, University of Pisa, Italy.
Federico VivaldiDepartment of Chemistry and Industrial Chemistry, University of Pisa, Italy.
Lisa MaceraDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Italy.
Laurence BalasInstitut des Biomolécules Max Mousseron (IBMM), UMR 5247, University of Montpellier, CNRS, EBNSCM, France.
Thierry DurandInstitut des Biomolécules Max Mousseron (IBMM), UMR 5247, University of Montpellier, CNRS, EBNSCM, France.
Camille OgerInstitut des Biomolécules Max Mousseron (IBMM), UMR 5247, University of Montpellier, CNRS, EBNSCM, France.
Jean-Marie GalanoInstitut des Biomolécules Max Mousseron (IBMM), UMR 5247, University of Montpellier, CNRS, EBNSCM, France.
Fabrizio MaggiDepartment of Medicine and Surgery, University of Insubria, Italy.
Alessandro CeliDepartment of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Italy.
Aldo PaolicchiDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Italy.
Fabio Di FrancescoDepartment of Chemistry and Industrial Chemistry, University of Pisa, Italy. Electronic address: fabio.difrancesco@unipi.it.
University of Pisa · ITUniversité de Montpellier · FRCentre National de la Recherche Scientifique · FRInstitut des Biomolécules Max Mousseron · FRUniversity of Genoa · ITUniversity of Insubria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The key role of inflammation in COVID-19 induced many authors to study the cytokine storm, whereas the role of other inflammatory mediators such as oxylipins is still poorly understood. IMPRECOVID was a monocentric retrospective observational pilot study with COVID-19 related pneumonia patients (n = 52) admitted to Pisa University Hospital between March and April 2020. Our MS-based analytical platform permitted the simultaneous determination of sixty plasma oxylipins in a single run at ppt levels for a comprehensive characterisation of the inflammatory cascade in COVID-19 patients. The datasets containing oxylipin and cytokine plasma levels were analysed by principal component analysis (PCA), computation of Fisher's canonical variable, and a multivariate receiver operating characteristic (ROC) curve. Differently from cytokines, the panel of oxylipins clearly differentiated samples collected in COVID-19 wards (n = 43) and Intensive Care Units (ICUs) (n = 27), as shown by the PCA and the multivariate ROC curve with a resulting AUC equal to 0.92. ICU patients showed lower (down to two orders of magnitude) plasma concentrations of anti-inflammatory and pro-resolving lipid mediators, suggesting an impaired inflammation response as part of a prolonged and unsolvable pro-inflammatory status. In conclusion, our targeted oxylipidomics platform helped shedding new light in this field. Targeting the lipid mediator class switching is extremely important for a timely picture of a patient's ability to respond to the viral attack. A prediction model exploiting selected lipid mediators as biomarkers seems to have good chances to classify patients at risk of severe COVID-19.

Indexed as

COVID-19OxylipinsHumansInflammationRetrospective StudiesSARS-CoV-2OxylipinsCOVID-19Inflammation regulationLipid mediator class switchingOxylipinsSeverity predictorsUHPLC-MS/MS

Identifiers

PMID35085774
PMCPMC8786407
OpenAlexW4206945207

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.