Evidence map›Paper›PMID 38540716›Full record

ArticleBiomolecules2024

Association of Altered Plasma Lipidome with Disease Severity in COVID-19 Patients.

Zhengzheng Zhang, Naama Karu, Alida Kindt, Madhulika Singh, Lieke Lamont, Adriaan J van Gammeren, Anton A M Ermens, Amy C Harms, Lutzen Portengen, Roel C H Vermeulen and 4 more

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Impact of air pollution on COVID-19 severity: a systematic review of underlying biological mechanisms.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Lipoxin AFrontiers in immunology · 2024
    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

14 authors at 4 institutions in 1 country.

Zhengzheng ZhangMetabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.
Naama KaruMetabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.ORCID 0000-0001-8005-0726
Alida KindtMetabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.ORCID 0000-0001-6551-6030
Madhulika SinghMetabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.ORCID 0000-0002-7433-9352
Lieke LamontMetabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.ORCID 0000-0002-2779-124X
Adriaan J van GammerenDepartment of Clinical Chemistry and Hematology, Amphia Hospital, 4818 CK Breda, The Netherlands.
Anton A M ErmensDepartment of Clinical Chemistry and Hematology, Amphia Hospital, 4818 CK Breda, The Netherlands.
Amy C HarmsMetabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.ORCID 0000-0002-2931-4295
Lutzen PortengenDepartment of Population Health Sciences, Institute for Risk Assessment Sciences, University Utrecht, 3584 CK Utrecht, The Netherlands.
Roel C H VermeulenDepartment of Population Health Sciences, Institute for Risk Assessment Sciences, University Utrecht, 3584 CK Utrecht, The Netherlands.
Willem A DikLaboratory Medical Immunology, Department of Immunology, Erasmus MC University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands.ORCID 0000-0001-5235-3156
Anton W LangerakLaboratory Medical Immunology, Department of Immunology, Erasmus MC University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands.ORCID 0000-0002-2078-3220
Vincent H J van der VeldenLaboratory Medical Immunology, Department of Immunology, Erasmus MC University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands.ORCID 0000-0001-9457-3763
Thomas HankemeierMetabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands.ORCID 0000-0001-7871-2073
Leiden University · NLErasmus MC · NLAmphia Ziekenhuis · NLUtrecht University · NL

Funding

MetaCovid LSHM20060MXL Fieldlab KVW-00267NWO 184.034.019
6 · The paper itself

Abstract

The severity of COVID-19 is linked to an imbalanced immune response. The dysregulated metabolism of small molecules and bioactive lipids has also been associated with disease severity. To promote understanding of the disease biochemistry and provide targets for intervention, we applied a range of LC-MS platforms to analyze over 100 plasma samples from patients with varying COVID-19 severity and with detailed clinical information on inflammatory responses (>30 immune markers). This is the third publication in a series, and it reports the results of comprehensive lipidome profiling using targeted LC-MS/MS. We identified 1076 lipid features across 25 subclasses, including glycerophospholipids, sterols, glycerolipids, and sphingolipids, among which 531 lipid features were dramatically changed in the plasma of intensive care unit (ICU) patients compared to patients in the ward. Patients in the ICU showed 1.3-57-fold increases in ceramides, (lyso-)glycerophospholipids, diglycerides, triglycerides, and plasmagen phosphoethanolamines, and 1.3-2-fold lower levels of a cyclic lysophosphatidic acid, sphingosine-1-phosphates, sphingomyelins, arachidonic acid-containing phospholipids, lactosylceramide, and cholesterol esters compared to patients in the ward. Specifically, phosphatidylinositols (PIs) showed strong fatty acid saturation-dependent behavior, with saturated fatty acid (SFA)- and monosaturated fatty acid (MUFA)-derived PI decreasing and polystaturated (PUFA)-derived PI increasing. We also found ~4000 significant Spearman correlations between lipids and multiple clinical markers of immune response with |R| ≥ 0.35 and FDR corrected Q < 0.05. Except for lysophosphatidic acid, lysophospholipids were positively associated with the CD4 fraction of T cells, and the cytokines IL-8 and IL-18. In contrast, sphingosine-1-phosphates were negatively correlated with innate immune markers such as CRP and IL-6. Further indications of metabolic changes in moderate COVID-19 disease were demonstrated in recovering ward patients compared to those at the start of hospitalization, where 99 lipid species were altered (6 increased by 30-62%; 93 decreased by 1.3-2.8-fold). Overall, these findings support and expand on early reports that dysregulated lipid metabolism is involved in COVID-19.

Indexed as

COVID-19SphingosineBiomarkersChromatography, LiquidFatty AcidsGlycerophospholipidsHumansLipidomicsLysophospholipidsPatient AcuityPhosphatesTandem Mass SpectrometryBiomarkersFatty AcidsGlycerophospholipidsLysophospholipidsPhosphatesSphingosinesphingosine 1-phosphateCOVID-19cytokineinflammationlipidomicslipidsSARS-CoV-2

Identifiers

PMID38540716
PMCPMC10968317
OpenAlexW4392358309

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.