Despite its potential, metabolomics faces several challenges in epidemiology: 1. Complexity of Data: The data generated is vast and complex, requiring advanced bioinformatics tools. 2. Standardization: Lack of standardized methods for sample collection, processing, and analysis can lead to variability. 3. Inter-individual Variability: Differences in age, gender, diet, and genetics can affect metabolomic profiles, complicating data interpretation.
