A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä
Metabolomic Alterations in Patients with Obesity and the Impact of Metabolic Bariatric Surgery: Insights for Future Research
Tekijät: Anastasiou, Ioanna A.; Kounatidis, Dimitris; Honka, Miikka-Juhani; Vallianou, Natalia G.; Rebelos, Eleni; Karamanolis, Nikolaos Nektarios; Dalamaga, Maria; Pantos, Constantinos; Mourouzis, Iordanis
Kustantaja: MDPI AG
Kustannuspaikka: BASEL
Julkaisuvuosi: 2025
Journal: Metabolites
Tietokannassa oleva lehden nimi: Metabolites
Lehden akronyymi: METABOLITES
Artikkelin numero: 434
Vuosikerta: 15
Numero: 7
Sivujen määrä: 26
eISSN: 2218-1989
DOI: https://doi.org/10.3390/metabo15070434
Verkko-osoite: https://doi.org/10.3390/metabo15070434
Rinnakkaistallenteen osoite: 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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
Julkaisussa olevat rahoitustiedot:
This research received no external funding.
