[Precision Medicine in Obesity Research and Practice]

Area of Science:

• Genomics and biochemistry
• Precision medicine
• Obesity research

Background:

• Obesity is a critical global health problem with significant heterogeneity.
• Advances in genomic and biochemical technologies are driving progress in obesity research.
• Current diagnostic and classification methods face challenges due to obesity's complexity.

Purpose of the Study:

• To highlight the need for predictive models in obesity diagnosis and clinical practice.
• To emphasize the importance of understanding key molecular players in obesity.
• To advocate for further research in precision medicine for obesity treatment.

Main Methods:

• Review of genomic and biochemical advancements in obesity research.
• Analysis of the roles of gastric hormones, feeding/reward system proteins, and gut microbiota.
• Exploration of precision medicine approaches for obesity.

Main Results:

• Obesity is a highly heterogeneous condition.
• Predictive models for obesity are currently lacking.
• Gastric hormones, feeding/reward pathways, and gut microbiota are crucial factors.

Conclusions:

• Further understanding of molecular and genetic factors is essential for obesity management.
• Precision medicine offers a promising avenue for improved obesity diagnosis and treatment.
• Clinical translation of research findings is a key future goal.