Metabolomics prospect of obesity and metabolic syndrome; a systematic review

• Published in: Journal of diabetes and metabolic disorders Vol. 21; no. 1; pp. 889 - 917
• Main Authors: Payab, Moloud, Tayanloo-Beik, Akram, Falahzadeh, Khadijeh, Mousavi, Maryamossadat, Salehi, Saeede, Djalalinia, Shirin, Ebrahimpur, Mahbube, Rezaei, Nafiseh, Rezaei-Tavirani, Mostafa, Larijani, Bagher, Arjmand, Babak, Gilany, Kambiz
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 26.11.2021; BioMed Central Ltd
• Subjects: Analysis; Database searching; Diabetes; Endocrinology; Internet/Web search services; Medicine; Medicine & Public Health; Metabolic Diseases; Metabolites; Obesity; Online searching; Review; Review Article; Metabolomics; Obesity; Metabolic syndrome; Metabolite
• ISSN: 2251-6581; 2251-6581
• DOI: 10.1007/s40200-021-00917-w

Purpose Due to growing concerns about the obesity pandemic as a worldwide phenomenon, a global effort has been made for managing it and associated disorders. Accordingly, metabolomics as a promising field of “OMICS” is presented for investigating different molecular pathways in obesity and related disorders through the evaluation of specific metabolites in both animal and human subjects. Herein, the aim of the present study as the first systematic review is to evaluate all available studies about different mechanisms and their biomarkers discovery using metabolomics approaches. Method The study was designed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Using a comprehensive search strategy we searched in databases including; Web of Science, PubMed, and Scopus using specific keywords. Based on predefined inclusion/exclusion criteria study selection has been conducted considering the type of studies, participant, and outcome measures. Quality assessment was done using CASP (Critical Appraisal Skills Programme) checklist followed by data extraction according to a predefined data extraction sheet. Results Among the articles that resulted from electronic search, a total of 74 articles met our inclusion criteria. The most prevalent studied metabolites were amino acids and lipid derivatives and both targeted and non-targeted approaches were applied for metabolomics studies. Conclusion This systematic review summarized a wide range of studies regardless of the age, history, language, and type of the study. Further studies are needed to compare the application of emerging methods in the treatment of obesity and related disorders.