Evidence map›Paper›PMID 40186806›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2025

SARS-CoV2 variants differentially impact on the plasma metabolome.

Tina Kramaric, Onn Shaun Thein, Dhruv Parekh, Aaron Scott, Andrine Vangberg, Manfred Beckmann, Helen Phillips, David Thickett, Luis A J Mur

Abstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Tina KramaricDepartment of Life Sciences, Aberystwyth University, Penglais Campus, Aberystwyth, SY23 3DA, UK.
Onn Shaun TheinAcute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2TT, UK.
Dhruv ParekhAcute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2TT, UK.
Aaron ScottAcute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2TT, UK.
Andrine VangbergDepartment of Life Sciences, Aberystwyth University, Penglais Campus, Aberystwyth, SY23 3DA, UK.
Manfred BeckmannDepartment of Life Sciences, Aberystwyth University, Penglais Campus, Aberystwyth, SY23 3DA, UK.
Helen PhillipsDepartment of Life Sciences, Aberystwyth University, Penglais Campus, Aberystwyth, SY23 3DA, UK.
David ThickettAcute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2TT, UK.
Luis A J MurDepartment of Life Sciences, Aberystwyth University, Penglais Campus, Aberystwyth, SY23 3DA, UK. lum@aber.ac.uk.

Funding

Asthma + Lung UK MCFPHD20F\2Birmingham Health Partners SupportMedical Research Council MR/S002782/1National Institute for Health and Care Research NIHR131600Shandong Province Double-Hundred Talent Plan WSR2023049Valley Diagnostics Ltd Scholarship
6 · The paper itself

Abstract

introductionInfection with severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) leads to COVID19 disease and caused a worldwide pandemic in 2019. Since the first wave of infections, there has been significant antigenic shifts, leading to the emergence of new variants. Today, infections have shifted away from the severe, fatal infection seen in 2019.

objectiveThis study aimed to assess how the plasma metabolomes from patients varied with infection with different strains and could reflect disease severity.

methodsPatients with COVID19 not requiring intensive care were recruited between January 2021 and May 2022 from the Queen Elizabeth Hospital Birmingham; 33 patients with alpha, 13 delta and 14 omicron variants. These were compared to 26 age matched contemporaneously recruited controls. Plasma samples were extracted into chloroform/methanol/water (1:2.5/1 v/v) and assessed by flow injection electrospray mass spectrometry (FIE-MS) using an Exactive Orbitrap mass spectrometer. Derived data were assessed using the R based MetaboAnalyst platform.

resultsPlasma metabolomes from COVID19 patients were clearly different from controls. Metabolite variation could be related to infection with different SARS-CoV2 variants. Variant showed different levels of some phospholipids, ganglioside GD1a and a dihydroxyvitamin D3 derivative. Correlations of the plasma metabolomes indicated negative correlations between selected phospholipids and the levels of C-reactive protein, creatinine, neutrophil and D-dimer.

conclusionThe plasma metabolomes of COVID19 patients show changes, particularly in phospholipids, which could reflect disease severity and SARS-CoV2 variant infection.

Indexed as

COVID-19MetabolomeSARS-CoV-2AdultAgedCase-Control StudiesFemaleHumansMaleMetabolomicsMiddle AgedSeverity of Illness IndexCOVID19Dihydroxyvitamin D3Ganglioside GD1aPhospholipidsSARS-CoV2 variants

Identifiers

PMID40186806
PMCPMC11972186

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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.