While promising, proteomic analysis in epidemiology faces several challenges:
- Complexity and Variability: The human proteome is highly complex and dynamic, with significant variability between individuals and even within the same individual over time. - Technical Limitations: Current technologies, although advanced, still have limitations in sensitivity, reproducibility, and throughput. - Data Interpretation: The massive amount of data generated requires robust bioinformatics tools and expertise to interpret meaningfully. - Cost: Proteomic studies can be expensive, limiting their accessibility for large-scale population studies.
