Metabolomics in Bariatric and Metabolic Surgery Research and the Potential of Deep Learning in Bridging the Gap

During the past several years, there has been a shift in terminology from bariatric surgery alone to bariatric and metabolic surgery (BMS). More than a change in name, this signifies a paradigm shift that incorporates the metabolic effects of operations performed for weight loss and the amelioration...

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Bibliographic Details
Published in:Metabolites 2022-05, Vol.12 (5), p.458
Main Author: Pantelis, Athanasios G
Format: Article
Language:English
Subjects:
Amino acids
Artificial intelligence
bariatric surgery
Bile
Biosynthesis
Body fat
Decision making
Deep learning
Diabetes
diabetes mellitus
Fatty acids
Gastrointestinal surgery
Laparoscopy
Machine learning
metabolic surgery
Metabolism
Metabolites
Metabolomics
Microbiota
nonalcoholic steatohepatitis
Obesity
Opinion
Peptides
Surgery
Weight control
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Summary:During the past several years, there has been a shift in terminology from bariatric surgery alone to bariatric and metabolic surgery (BMS). More than a change in name, this signifies a paradigm shift that incorporates the metabolic effects of operations performed for weight loss and the amelioration of related medical problems. Metabolomics is a relatively novel concept in the field of bariatrics, with some consistent changes in metabolite concentrations before and after weight loss. However, the abundance of metabolites is not easy to handle. This is where artificial intelligence, and more specifically deep learning, would aid in revealing hidden relationships and would help the clinician in the decision-making process of patient selection in an individualized way.
ISSN:2218-1989
2218-1989
DOI:10.3390/metabo12050458