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MS-based targeted profiling of oxylipins in COVID-19: A new insight into inflammation regulation.
Biagini, Denise; Franzini, Maria; Oliveri, Paolo; Lomonaco, Tommaso; Ghimenti, Silvia; Bonini, Andrea; Vivaldi, Federico; Macera, Lisa; Balas, Laurence; Durand, Thierry; Oger, Camille; Galano, Jean-Marie; Maggi, Fabrizio; Celi, Alessandro; Paolicchi, Aldo; Di Francesco, Fabio.
  • Biagini D; Department of Chemistry and Industrial Chemistry, University of Pisa, Italy. Electronic address: denise.biagini@dcci.unipi.it.
  • Franzini M; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Italy.
  • Oliveri P; Department of Pharmacy, University of Genoa, Italy.
  • Lomonaco T; Department of Chemistry and Industrial Chemistry, University of Pisa, Italy.
  • Ghimenti S; Department of Chemistry and Industrial Chemistry, University of Pisa, Italy.
  • Bonini A; Department of Chemistry and Industrial Chemistry, University of Pisa, Italy.
  • Vivaldi F; Department of Chemistry and Industrial Chemistry, University of Pisa, Italy.
  • Macera L; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Italy.
  • Balas L; Institut des Biomolécules Max Mousseron (IBMM), UMR 5247, University of Montpellier, CNRS, EBNSCM, France.
  • Durand T; Institut des Biomolécules Max Mousseron (IBMM), UMR 5247, University of Montpellier, CNRS, EBNSCM, France.
  • Oger C; Institut des Biomolécules Max Mousseron (IBMM), UMR 5247, University of Montpellier, CNRS, EBNSCM, France.
  • Galano JM; Institut des Biomolécules Max Mousseron (IBMM), UMR 5247, University of Montpellier, CNRS, EBNSCM, France.
  • Maggi F; Department of Medicine and Surgery, University of Insubria, Italy.
  • Celi A; Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Italy.
  • Paolicchi A; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Italy.
  • Di Francesco F; Department of Chemistry and Industrial Chemistry, University of Pisa, Italy. Electronic address: fabio.difrancesco@unipi.it.
Free Radic Biol Med ; 180: 236-243, 2022 02 20.
Article in English | MEDLINE | ID: covidwho-1649942
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Oxylipins / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Free Radic Biol Med Journal subject: Biochemistry / Medicine Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Oxylipins / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Free Radic Biol Med Journal subject: Biochemistry / Medicine Year: 2022 Document Type: Article