[Postgenomic Medicine: Alternative to Biomarkers]

Area of Science:

• Biomedical research
• Genomics
• Proteomics
• Metabolomics

Background:

• High-performance postgenomic technologies are crucial for modern medicine.
• Implementing genomics, proteomics, and metabolomics in routine clinical practice presents significant challenges.

Purpose of the Study:

• To address the intrinsic problems in applying postgenomic technologies to clinical practice.
• To explore new research approaches for the advancement of postgenomic medicine.

Main Methods:

• Analysis of metabolome research in human blood plasma.
• Examination of challenges in detecting molecular biomarkers due to their complexity.

Main Results:

• Postgenomic biomarkers are often like a 'molecular iceberg,' with much inaccessible to current measurement methods.
• The diversity of protein forms leads to incomplete and inconsistent molecular marker data.

Conclusions:

• Further development in postgenomic medicine necessitates a fundamental shift in research methodologies.
• Data-intensive analytics and specialized computational methods are essential for handling the complexities of postgenomic data, posing challenges for evidence-based medicine.