Evidence map›Paper›PMID 38066384›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2023

Non-targeted LC-MS/MS metabolomic profiling of human plasma uncovers a novel Mediterranean diet biomarker panel.

Shirin Macias, Ali Yilmaz, Joseph Kirma, Sarah E Moore, Jayne V Woodside, Stewart F Graham, Brian D Green

Open access · hybridAbstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Shirin MaciasInstitute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, UK.ORCID 0000-0001-6002-8951
Ali YilmazMetabolomics Department, Corewell Health Research Institute, 3811 W. 13 Mile Road, Royal Oak, MI, 48073, USA.
Joseph KirmaMichigan Medicine University of Michigan, Ann Arbor, MI, 48109, USA.
Sarah E MooreCentre for Public Health, Queen's University Belfast, Belfast, BT12 6BA, UK.
Jayne V WoodsideInstitute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, UK.
Stewart F GrahamMetabolomics Department, Corewell Health Research Institute, 3811 W. 13 Mile Road, Royal Oak, MI, 48073, USA.
Brian D GreenInstitute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, UK. b.green@qub.ac.uk.
Queen's University Belfast · GBBeaumont Hospital, Royal Oak · USRoyal Oak Community Coalition · USUniversity of Michigan · US

Funding

Medical Research Council MR/J000388/1
6 · The paper itself

Abstract

introductionConsumption of a Mediterranean diet (MD) has established health benefits, and the identification of novel biomarkers could enable objective monitoring of dietary pattern adherence.

objectivesThe present investigation performed untargeted metabolomics on blood plasma from a controlled study of MD adherence, to identify novel blood-based metabolite biomarkers associated with the MD pattern, and to build a logistic regression model that could be used to characterise MD adherence.

methodsA hundred and thirty-five plasma samples from n = 58 patients collected at different time points were available. Using a 14-point scale MD Score (MDS) subjects were divided into 'high' or 'low' MDS adherence groups and liquid chromatography-mass spectrometry (LC-MS/MS) was applied for analysis.

resultsThe strongest association with MDS was pectenotoxin 2 seco acid (r = 0.53; ROC = 0.78), a non-toxic marine xenobiotic metabolite. Several lipids were useful biomarkers including eicosapentaenoic acid, the structurally related lysophospholipid (20:5(5Z,8Z,11Z,14Z,17Z)/0:0), a phosphatidylcholine (P-18:1(9Z)/16:0) and also xi-8-hydroxyhexadecanedioic acid. Two metabolites negatively correlated with MDS, these were the monoacylglycerides (0:0/16:1(9Z)/0:0) and (0:0/20:3(5Z,8Z,11Z)/0:0). By stepwise elimination we selected a panel of 3 highly discriminatory metabolites and developed a linear regression model which identified 'high MDS' individuals with high sensitivity and specificity [AUC (95% CI) 0.83 (0.76-0.97)].

conclusionOur study highlights the utility of metabolomics as an approach for developing novel panels of dietary biomarkers. Quantitative profiling of these metabolites is required to validate their utility for evaluating dietary adherence.

Indexed as

Diet, MediterraneanMetabolomicsBiomarkersChromatography, LiquidHumansPlasmaTandem Mass SpectrometryBiomarkersBiomarkersDietary patternsMass spectrometryMediterranean dietMetabolomics

Identifiers

PMID38066384
PMCPMC10709258
OpenAlexW4389491150

What OpenQuestion holds

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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 OpenQuestion graph.