Evidence map›Paper›PMID 37853293›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2023

Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome.

Ivayla Roberts, Marina Wright Muelas, Joseph M Taylor, Andrew S Davison, Catherine L Winder, Royston Goodacre, Douglas B Kell

Abstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

7 authors.

Ivayla RobertsDepartment of Biochemistry and Systems Biology, Centre for Metabolomics Research (CMR), Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK. Ivayla.Roberts@liverpool.ac.uk.
Marina Wright MuelasDepartment of Biochemistry and Systems Biology, Centre for Metabolomics Research (CMR), Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Joseph M TaylorLiverpool Clinical Laboratories, Department of Clinical Biochemistry and Metabolic Medicine, Royal Liverpool University Hospitals Trust, Liverpool, UK.
Andrew S DavisonLiverpool Clinical Laboratories, Department of Clinical Biochemistry and Metabolic Medicine, Royal Liverpool University Hospitals Trust, Liverpool, UK.
Catherine L WinderDepartment of Biochemistry and Systems Biology, Centre for Metabolomics Research (CMR), Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Royston GoodacreDepartment of Biochemistry and Systems Biology, Centre for Metabolomics Research (CMR), Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Douglas B KellDepartment of Biochemistry and Systems Biology, Centre for Metabolomics Research (CMR), Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK. Douglas.Kell@liverpool.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/V003976/1Medical Research Council MR/S010483/1
6 · The paper itself

Abstract

introductionSince the beginning of the SARS-CoV-2 pandemic in December 2019 multiple metabolomics studies have proposed predictive biomarkers of infection severity and outcome. Whilst some trends have emerged, the findings remain intangible and uninformative when it comes to new patients.

objectivesIn this study, we accurately quantitate a subset of compounds in patient serum that were found predictive of severity and outcome.

methodsA targeted LC-MS method was used in 46 control and 95 acute COVID-19 patient samples to quantitate the selected metabolites. These compounds included tryptophan and its degradation products kynurenine and kynurenic acid (reflective of immune response), butyrylcarnitine and its isomer (reflective of energy metabolism) and finally 3',4'-didehydro-3'-deoxycytidine, a deoxycytidine analogue, (reflective of host viral defence response). We subsequently examine changes in those markers by disease severity and outcome relative to those of control patients' levels. RESULTS &

conclusionFinally, we demonstrate the added value of the kynurenic acid/tryptophan ratio for severity and outcome prediction and highlight the viral detection potential of ddhC.

Indexed as

COVID-19TryptophanChromatography, LiquidHumansKynurenic AcidMetabolomicsSARS-CoV-2Tandem Mass SpectrometryKynurenic AcidTryptophanButyryl-carnitineCOVID-19ddhCIso- butyrylcarnitineKYNA/TRPKYN/TRPKynurenic acidKynurenineLC–MSMetabolomicsTryptophan

Identifiers

PMID37853293
PMCPMC10584727

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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.