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Metabolomic and Lipidomic Signatures of Metabolic Syndrome and its Physiological Components in Adults: A Systematic Review
- 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.
- Subjects :
- Adult
Male
Risk
0301 basic medicine
[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]
Population
MEDLINE
lcsh:Medicine
030209 endocrinology & metabolism
Type 2 diabetes
Computational biology
Article
03 medical and health sciences
0302 clinical medicine
Metabolomics
Lipidomics
Prevalence
Humans
Medicine
lcsh:Science
education
Aged
Glycemic
Metabolic Syndrome
education.field_of_study
Multidisciplinary
business.industry
Incidence
lcsh:R
Middle Aged
Lipid Metabolism
medicine.disease
Phenotype
030104 developmental biology
Diabetes Mellitus, Type 2
Homogeneous
Female
lcsh:Q
Metabolic syndrome
business
Biomarkers
Subjects
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