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The Plasma Oxylipin Signature Provides a Deep Phenotyping of Metabolic Syndrome Complementary to the Clinical Criteria.
Dalle, Céline; Tournayre, Jérémy; Mainka, Malwina; Basiak-Rasala, Alicja; Pétéra, Mélanie; Lefèvre-Arbogast, Sophie; Dalloux-Chioccioli, Jessica; Deschasaux-Tanguy, Mélanie; Lécuyer, Lucie; Kesse-Guyot, Emmanuelle; Fezeu, Léopold K; Hercberg, Serge; Galan, Pilar; Samieri, Cécilia; Zatonska, Katarzyna; Calder, Philip C; Fiil Hjorth, Mads; Astrup, Arne; Mazur, André; Bertrand-Michel, Justine; Schebb, Nils Helge; Szuba, Andrzej; Touvier, Mathilde; Newman, John W; Gladine, Cécile.
Afiliación
  • Dalle C; UNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France.
  • Tournayre J; UNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France.
  • Mainka M; Faculty of Mathematics and Natural Sciences, University of Wuppertal, 42119 Wuppertal, Germany.
  • Basiak-Rasala A; Department of Social Medicine, Wroclaw Medical University, 50-367 Wroclaw, Poland.
  • Pétéra M; Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, UNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France.
  • Lefèvre-Arbogast S; Bordeaux Population Health Research Center, Université de Bordeaux, INSERMUMR 1219, 33076 Bordeaux, France.
  • Dalloux-Chioccioli J; MetaToul, MetaboHUB, Inserm/UPS UMR 1048-I2MC, Institut des Maladies Métaboliques et Cardiovasculaires, 31400 Toulouse, France.
  • Deschasaux-Tanguy M; Nutritional 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.
  • Lécuyer L; Nutritional 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.
  • Kesse-Guyot E; Nutritional 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.
  • Fezeu LK; Nutritional 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.
  • Hercberg S; Nutritional 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.
  • Galan P; Nutritional 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.
  • Samieri C; Bordeaux Population Health Research Center, Université de Bordeaux, INSERMUMR 1219, 33076 Bordeaux, France.
  • Zatonska K; Department of Social Medicine, Wroclaw Medical University, 50-367 Wroclaw, Poland.
  • Calder PC; Faculty of Medicine, School of Human Development and Health, University of Southampton, Southampton SO16 6YD, UK.
  • Fiil Hjorth M; NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton SO16 6YD, UK.
  • Astrup A; Obesity and Nutritional Sciences, Novo Nordisk Foundation, 2900 Hellerup, Denmark.
  • Mazur A; Obesity and Nutritional Sciences, Novo Nordisk Foundation, 2900 Hellerup, Denmark.
  • Bertrand-Michel J; UNH, INRAE, Université Clermont Auvergne, 63000 Clermont-Ferrand, France.
  • Schebb NH; MetaToul, MetaboHUB, Inserm/UPS UMR 1048-I2MC, Institut des Maladies Métaboliques et Cardiovasculaires, 31400 Toulouse, France.
  • Szuba A; Faculty of Mathematics and Natural Sciences, University of Wuppertal, 42119 Wuppertal, Germany.
  • Touvier M; Department of Angiology, Hypertension and Diabetology, Wroclaw Medical University, 50-556 Wroclaw, Poland.
  • Newman JW; Nutritional 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.
  • Gladine C; Obesity and Metabolism Research Unit, United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA 95616, USA.
Int J Mol Sci ; 23(19)2022 Oct 02.
Article en En | MEDLINE | ID: mdl-36232991
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 AUCROC of 89%, 95% CI 85-93% and 78%, 95% CI 72-85% in the Discovery and Replication studies, respectively). Correlation analysis and comparison with a classification model incorporating the MetS criteria showed that the oxylipin signature brings consistent and complementary information to the clinical criteria. Being linked with the regulation of various biological processes, the candidate oxylipins provide an integrative phenotyping of MetS regarding the activation and/or negative feedback regulation of crucial molecular pathways. This may help identify patients at higher risk of cardiometabolic diseases. The oxylipin signature of patients with metabolic syndrome enhances MetS phenotyping and may ultimately help to better stratify the risk of cardiometabolic diseases.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Síndrome Metabólico Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2022 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Síndrome Metabólico Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2022 Tipo del documento: Article País de afiliación: Francia