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Metabolomic and Lipidomic Signatures of Metabolic Syndrome and its Physiological Components in Adults: A Systematic Review

Authors :
Blandine Comte
Pierrette Gaudreau
José A. Morais
Daniela Ziegler
Stéphanie Monnerie
Estelle Pujos-Guillot
Unité de Nutrition Humaine (UNH)
Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Centre Hospitalier Universitaire de Montréal
Université de Montréal (UdeM)
Département de Gériatrie
McGill University = Université McGill [Montréal, Canada]
Plateforme d’Exploration du Métabolisme
Institut National de la Recherche Agronomique (INRA)
Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CR CHUM)
Centre Hospitalier de l'Université de Montréal (CHUM)
Université de Montréal (UdeM)-Université de Montréal (UdeM)
Département de médecine
Centre Léon Bérard [Lyon]
Plateforme Exploration du Métabolisme (PFEM)
Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-MetaboHUB-Clermont
MetaboHUB-MetaboHUB
Unité de Nutrition Humaine - Clermont Auvergne (UNH)
Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA)
Université McGill [Montréal]
Centre de Recherche du CHUM
Source :
Scientific Reports, Scientific Reports, Nature Publishing Group, 2020, 10 (1), pp.669. ⟨10.1038/s41598-019-56909-7⟩, Scientific Reports, 2020, 10 (1), pp.669. ⟨10.1038/s41598-019-56909-7⟩, Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

The aim of this work was to conduct a systematic review of human studies on metabolite/lipid biomarkers of metabolic syndrome (MetS) and its components, and provide recommendations for future studies. The search was performed in MEDLINE, EMBASE, EMB Review, CINHAL Complete, PubMed, and on grey literature, for population studies identifying MetS biomarkers from metabolomics/lipidomics. Extracted data included population, design, number of subjects, sex/gender, clinical characteristics and main outcome. Data were collected regarding biological samples, analytical methods, and statistics. Metabolites were compiled by biochemical families including listings of their significant modulations. Finally, results from the different studies were compared. The search yielded 31 eligible studies (2005–2019). A first category of articles identified prevalent and incident MetS biomarkers using mainly targeted metabolomics. Even though the population characteristics were quite homogeneous, results were difficult to compare in terms of modulated metabolites because of the lack of methodological standardization. A second category, focusing on MetS components, allowed comparing more than 300 metabolites, mainly associated with the glycemic component. Finally, this review included also publications studying type 2 diabetes as a whole set of metabolic risks, raising the interest of reporting metabolomics/lipidomics signatures to reflect the metabolic phenotypic spectrum in systems approaches.

Details

Language :
English
ISSN :
20452322
Database :
OpenAIRE
Journal :
Scientific Reports, Scientific Reports, Nature Publishing Group, 2020, 10 (1), pp.669. ⟨10.1038/s41598-019-56909-7⟩, Scientific Reports, 2020, 10 (1), pp.669. ⟨10.1038/s41598-019-56909-7⟩, Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Accession number :
edsair.doi.dedup.....404e1513d9e401e9c13ecc8262f84a34