Evidence map›Paper›PMID 36232991›Full record

ArticleInternational journal of molecular sciences2022

The Plasma Oxylipin Signature Provides a Deep Phenotyping of Metabolic Syndrome Complementary to the Clinical Criteria.

Céline Dalle, Jérémy Tournayre, Malwina Mainka, Alicja Basiak-Rasała, Mélanie Pétéra, Sophie Lefèvre-Arbogast, Jessica Dalloux-Chioccioli, Mélanie Deschasaux-Tanguy, Lucie Lécuyer, Emmanuelle Kesse-Guyot and 15 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 18 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

25 authors at 10 institutions in 6 countries.

Céline DalleUNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France.ORCID 0000-0003-0493-8568
Jérémy TournayreUNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France.ORCID 0000-0002-5532-3793
Malwina MainkaFaculty of Mathematics and Natural Sciences, University of Wuppertal, 42119 Wuppertal, Germany.
Alicja Basiak-RasałaDepartment of Social Medicine, Wroclaw Medical University, 50-367 Wroclaw, Poland.
Mélanie PétéraPlateforme d'Exploration du Métabolisme, MetaboHUB Clermont, UNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France.
Sophie Lefèvre-ArbogastBordeaux Population Health Research Center, Université de Bordeaux, INSERMUMR 1219, 33076 Bordeaux, France.
Jessica Dalloux-ChioccioliMetaToul, MetaboHUB, Inserm/UPS UMR 1048-I2MC, Institut des Maladies Métaboliques et Cardiovasculaires, 31400 Toulouse, France.
Mélanie Deschasaux-TanguyNutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France.ORCID 0000-0002-3359-420X
Lucie LécuyerNutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France.
Emmanuelle Kesse-GuyotNutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France.ORCID 0000-0002-9715-3534
Léopold K FezeuNutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France.
Serge HercbergNutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France.
Pilar GalanNutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France.
Cécilia SamieriBordeaux Population Health Research Center, Université de Bordeaux, INSERMUMR 1219, 33076 Bordeaux, France.
Katarzyna ZatońskaDepartment of Social Medicine, Wroclaw Medical University, 50-367 Wroclaw, Poland.
Philip C CalderFaculty of Medicine, School of Human Development and Health, University of Southampton, Southampton SO16 6YD, UK.ORCID 0000-0002-6038-710X
Mads Fiil HjorthObesity and Nutritional Sciences, Novo Nordisk Foundation, 2900 Hellerup, Denmark.
Arne AstrupObesity and Nutritional Sciences, Novo Nordisk Foundation, 2900 Hellerup, Denmark.ORCID 0000-0001-8968-8996
André MazurUNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France.
Justine Bertrand-MichelMetaToul, MetaboHUB, Inserm/UPS UMR 1048-I2MC, Institut des Maladies Métaboliques et Cardiovasculaires, 31400 Toulouse, France.ORCID 0000-0001-9815-1517
Nils Helge SchebbFaculty of Mathematics and Natural Sciences, University of Wuppertal, 42119 Wuppertal, Germany.
Andrzej SzubaDepartment of Angiology, Hypertension and Diabetology, Wroclaw Medical University, 50-556 Wroclaw, Poland.ORCID 0000-0002-7555-6201
Mathilde TouvierNutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, INSERM U1153, INRAE U1125, Cnam, Epidemiology and Statistics Research Center, University Paris Cité (CRESS), 93017 Bobigny, France.ORCID 0000-0002-8322-8857
John W NewmanObesity and Metabolism Research Unit, United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA 95616, USA.ORCID 0000-0001-9632-6571
Cécile GladineUNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France.
Inserm · FRInstitut Pascal · FRWroclaw Medical University · PLNovo Nordisk Foundation · DKUniversité de Bordeaux · FRUniversité Toulouse III - Paul Sabatier · FRUniversity of Wuppertal · DEAgricultural Research Service · USInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

Agence Nationale de la Recherche ANR-16-HDHL-0004-01/02Danish Agency for Science, Technology and Innovation 4203 - 00006BFederal Ministry of Education and Research 01EA1702National Science Center ERAH.E220.18.001Population Health Research Institute 290/W-PURE/2008/0United States Department of Agriculture 2032-51530-025-00D
6 · The paper itself

Abstract

Metabolic syndrome (MetS) is a complex condition encompassing a constellation of cardiometabolic abnormalities. Oxylipins are a superfamily of lipid mediators regulating many cardiometabolic functions. Plasma oxylipin signature could provide a new clinical tool to enhance the phenotyping of MetS pathophysiology. A high-throughput validated mass spectrometry method, allowing for the quantitative profiling of over 130 oxylipins, was applied to identify and validate the oxylipin signature of MetS in two independent nested case/control studies involving 476 participants. We identified an oxylipin signature of MetS (coined OxyScore), including 23 oxylipins and having high performances in classification and replicability (cross-validated AUC

Indexed as

Cardiovascular DiseasesMetabolic SyndromeCase-Control StudiesHumansOxylipinsOxylipinslipid mediatorslipidomicsmetabolic phenotypingmetabolic syndromeoxylipins

Identifiers

PMID36232991
PMCPMC9570185
OpenAlexW4303699407

What OpenQuestion 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 OpenQuestion graph.