Evidence map›Paper›PMID 34737330›Full record

ArticleScientific reports2021

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

Michele Dei Cas, Sara Ottolenghi, Camillo Morano, Rocco Rinaldo, Gabriella Roda, Davide Chiumello, Stefano Centanni, Michele Samaja, Rita Paroni

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. Article
  3. Hypoxic Status in COPD and ARDS Patients: Impact on Lipid Signature.International journal of molecular sciences · 2025
    Article
  4. SARS-CoV2 variants differentially impact on the plasma metabolome.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome.Metabolomics : Official journal of the Metabolomic Society · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. COVIDomics: The Proteomic and Metabolomic Signatures of COVID-19.International journal of molecular sciences · 2022
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Michele Dei Cas *Department of Health Sciences, Università degli Studi di Milano, via A. di Rudinì 8, Milan, Italy.ORCID http://orcid.org/0000-0001-7359-8558
Sara Ottolenghi *Department of Health Sciences, Università degli Studi di Milano, via A. di Rudinì 8, Milan, Italy.
Camillo MoranoDepartment of Pharmaceutical Sciences, Università degli Studi di Milano, Milan, Italy.
Rocco RinaldoDepartment of Health Sciences, Università degli Studi di Milano, via A. di Rudinì 8, Milan, Italy.ORCID http://orcid.org/0000-0003-3999-5298
Gabriella RodaDepartment of Pharmaceutical Sciences, Università degli Studi di Milano, Milan, Italy.
Davide ChiumelloDepartment of Health Sciences, Università degli Studi di Milano, via A. di Rudinì 8, Milan, Italy.
Stefano CentanniDepartment of Health Sciences, Università degli Studi di Milano, via A. di Rudinì 8, Milan, Italy.
Michele SamajaDepartment of Health Sciences, Università degli Studi di Milano, via A. di Rudinì 8, Milan, Italy.ORCID http://orcid.org/0000-0002-0705-340X
Rita ParoniDepartment of Health Sciences, Università degli Studi di Milano, via A. di Rudinì 8, Milan, Italy. rita.paroni@unimi.it.ORCID http://orcid.org/0000-0002-3186-8860
University of Milan · ITAOL (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AdultAgedBiomarkersCOVID-19DyslipidemiasFemaleHumansItalyLipidomicsLipidsMaleMiddle AgedOxidative StressPrognosisSARS-CoV-2SerumBiomarkersLipidsSphingomyelins

Identifiers

PMID34737330
PMCPMC8568966
OpenAlexW3208319529

What OpenQuestion holds

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LicenceCC BY
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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.