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

Author:

Dalle CélineORCID,Tournayre JérémyORCID,Mainka Malwina,Basiak-Rasała Alicja,Pétéra Mélanie,Lefèvre-Arbogast Sophie,Dalloux-Chioccioli Jessica,Deschasaux-Tanguy MélanieORCID,Lécuyer Lucie,Kesse-Guyot EmmanuelleORCID,Fezeu Léopold K.,Hercberg Serge,Galan Pilar,Samieri Cécilia,Zatońska Katarzyna,Calder Philip C.ORCID,Fiil Hjorth Mads,Astrup ArneORCID,Mazur André,Bertrand-Michel JustineORCID,Schebb Nils Helge,Szuba AndrzejORCID,Touvier MathildeORCID,Newman John W.ORCID,Gladine Cécile

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.

Funder

Agence Nationale de la Recherche

Federal Ministry of Education and Research

Danish Agency for Science, Technology and Innovation

National Science Center

Population Health Research Institute

United States Department of Agriculture

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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