Multiomics strategy-based obesity biomarkers discovery for precision medicine

Area of Science:

• Metabolic disorders
• Obesity research
• Biomarker discovery

Background:

• Obesity is a complex metabolic disorder with diverse causes and comorbidities.
• Managing obesity is challenging due to its heterogeneity.
• Multiomics technologies offer new insights into obesity's molecular basis.

Purpose of the Study:

• To review factors contributing to obesity.
• To explore multiomics approaches for identifying obesity biomarkers.
• To discuss clinical applications and limitations of identified biomarkers.

Main Methods:

• Review of multiomics data (epigenetics, transcriptomics, proteomics, metabolomics, gut microbiome).
• Analysis of data integration methodologies in multiomics research.
• Assessment of clinical applicability of identified obesity biomarkers.

Main Results:

• Multiomics studies reveal latent etiological mechanisms of obesity.
• Integrative multiomics strategies are progressing in biomarker identification.
• Numerous promising obesity biomarkers have been identified but require further validation.

Conclusions:

• Multiomics approaches provide new directions for precision obesity treatment.
• Targeted interventions like epigenetic modifications or microbiome modulation show potential.
• Longitudinal and population-specific studies are crucial for advancing obesity management.