4.7 Article

Link between serum lipid signature and prognostic factors in COVID-19 patients

Journal

SCIENTIFIC REPORTS
Volume 11, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41598-021-00755-z

Keywords

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Funding

  1. Dipartimento di Scienze della Salute, Universita degli Studi di Milano
  2. Ministero dell'Istruzione, dell'Universita e della Ricerca [1314 PNRA18_00071F]

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The serum lipidome of COVID-19 patients shows significant and unique dyslipidemia related to factors such as inflammation, hypoxia, coagulation state, kidney function, and age, indicating reduced defense against oxidative stress. A particular lipidome signature was identified in patients with different outcomes after 7 days, with an increase in specific lipid species like ceramides and sulfatides, potentially serving as biomarkers for disease progression and severity.
Although the serum lipidome is markedly affected by COVID-19, two unresolved issues remain: how the severity of the disease affects the level and the composition of serum lipids and whether serum lipidome analysis may identify specific lipids impairment linked to the patients' outcome. Sera from 49 COVID-19 patients were analyzed by untargeted lipidomics. Patients were clustered according to: inflammation (C-reactive protein), hypoxia (Horowitz Index), coagulation state (D-dimer), kidney function (creatinine) and age. COVID-19 patients exhibited remarkable and distinctive dyslipidemia for each prognostic factor associated with reduced defense against oxidative stress. When patients were clustered by outcome (7 days), a peculiar lipidome signature was detected with an overall increase of 29 lipid species, including-among others-four ceramide and three sulfatide species, univocally related to this analysis. Considering the lipids that were affected by all the prognostic factors, we found one sphingomyelin related to inflammation and viral infection of the respiratory tract and two sphingomyelins, that are independently related to patients' age, and they appear as candidate biomarkers to monitor disease progression and severity. Although preliminary and needing validation, this report pioneers the translation of lipidome signatures to link the effects of five critical clinical prognostic factors with the patients' outcomes.

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