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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
The Plasma Oxylipin Signature Provides a Deep Phenotyping of Metabolic Syndrome Complementary to the Clinical Criteria
International Journal of Molecular Sciences, Volume 23, No. 19, Article 11688, Year 2022
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Description
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. © 2022 by the authors.
Authors & Co-Authors
Mainka, Malwina
Germany, Wuppertal
Bergische Universität Wuppertal
Basiak-Rasała, Alicja
Poland, Wroclaw
Wroclaw Medical University
Deschasaux-Tanguy, Mélanie
France, Paris
Centre de Recherche Epidémiologiques et Bio Statistiques de Sorbonne Paris Cité Cress
Kesse-Guyot, Emmanuelle
France, Paris
Centre de Recherche Epidémiologiques et Bio Statistiques de Sorbonne Paris Cité Cress
Fézeu, Léopold K.
France, Paris
Centre de Recherche Epidémiologiques et Bio Statistiques de Sorbonne Paris Cité Cress
Hercberg, Serge
France, Paris
Centre de Recherche Epidémiologiques et Bio Statistiques de Sorbonne Paris Cité Cress
Galán, Pilar Redondo
France, Paris
Centre de Recherche Epidémiologiques et Bio Statistiques de Sorbonne Paris Cité Cress
Samieri, Cecilia
France, Bordeaux
Université de Bordeaux
Zatońska, Katarzyna
Poland, Wroclaw
Wroclaw Medical University
Calder, Philip C.
United Kingdom, Southampton
University of Southampton
United Kingdom, Southampton
University Hospital Southampton Nhs Foundation Trust
Astrup, Arne Vernon
Denmark, Hellerup
Novo Nordisk Foundation
Bertrand-Michel, Justine
France, Toulouse
Université Toulouse Iii - Paul Sabatier
Schebb, Nils Helge
Germany, Wuppertal
Bergische Universität Wuppertal
Szuba, Andrzej
Poland, Wroclaw
Wroclaw Medical University
Touvier, Mathilde
France, Paris
Centre de Recherche Epidémiologiques et Bio Statistiques de Sorbonne Paris Cité Cress
Gladine, Cécile
France, Paris
Inrae
Statistics
Citations: 4
Authors: 16
Affiliations: 11
Identifiers
Doi:
10.3390/ijms231911688
ISSN:
16616596
Research Areas
Noncommunicable Diseases
Study Approach
Quantitative