AI Article Synopsis
- - Academic medicine aims to blend research, discovery, and education to improve healthcare outcomes, but in obesity research, this integration is facing challenges.
- - The current classification system for obesity relies solely on body mass index (BMI), which fails to capture the diversity of obesity subtypes and complicates understanding the true impact of obesity.
- - A more nuanced approach that considers individual factors like genotype, microbiota, and dietary habits is needed to better address the different forms of obesity and their implications.
Article Abstract
Academic medicine fosters research that moves from discovery to translation, at the same time as promoting education of the next generation of professionals. In the field of obesity, the supposed integration of knowledge, discovery and translation research to clinical care is being particularly hampered. The classification of obesity based on the body mass index does not account for several subtypes of obesity. The lack of a universally shared definition of "obesities" makes it impossible to establish the real burden of the different obesity phenotypes. The individual's genotype, adipotype, enterotype and microbiota interplays with macronutrient intake, appetite, metabolism and thermogenesis. Further investigations based on the concept of differently diagnosed "obesities" are required.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285368 | PMC |
| http://dx.doi.org/10.1111/eci.13811 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!