A2 Refereed review article in a scientific journal
Metabolomic Alterations in Patients with Obesity and the Impact of Metabolic Bariatric Surgery: Insights for Future Research
Authors: Anastasiou, Ioanna A.; Kounatidis, Dimitris; Honka, Miikka-Juhani; Vallianou, Natalia G.; Rebelos, Eleni; Karamanolis, Nikolaos Nektarios; Dalamaga, Maria; Pantos, Constantinos; Mourouzis, Iordanis
Publisher: MDPI AG
Publishing place: BASEL
Publication year: 2025
Journal: Metabolites
Journal name in source: Metabolites
Journal acronym: METABOLITES
Article number: 434
Volume: 15
Issue: 7
Number of pages: 26
eISSN: 2218-1989
DOI: https://doi.org/10.3390/metabo15070434
Web address : https://doi.org/10.3390/metabo15070434
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/499705749
Metabolomics has emerged as a vital tool for understanding the body's responses to therapeutic interventions. Metabolic bariatric surgery (MBS) is widely recognized as the most effective treatment modality for severe obesity and its associated comorbidities. This review seeks to analyze the current evidence on the metabolomic profiles of patients with obesity and the impact of various bariatric surgical procedures, with the objective of predicting clinical outcomes, including weight loss and remission of type 2 diabetes (T2D). The data gathered from original studies examining metabolomic changes following MBS have been meticulously compiled and summarized. The findings revealed significant alterations in metabolites across various classes, including amino acids, lipids, energy-related compounds, and substances derived from the gut microbiota. Notably, elevated preoperative levels of specific lipids, such as phospholipids, long-chain fatty acids, and bile acids, were correlated with postoperative remission of T2D. In conclusion, metabolite profiling holds great promise for predicting long-term responses to different bariatric surgery procedures. This innovative approach has the potential to facilitate personalized treatment strategies and optimize the allocation of healthcare resources.
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Funding information in the publication:
This research received no external funding.
