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Proteomics as a tool for clinically relevant biomarker discovery and validation.
Mark W Duncan1, Stephen W Hunsucker
1Department of Pediatrics, Section of Pulmonary Medicine, University of Colorado at Denver and Health Sciences Center, Aurora, CO 80045, USA. Mark.Duncan@uchsc.edu
Experimental Biology and Medicine (Maywood, N.J.)
|December 13, 2005
Summary
Proteomics shows promise for biomarker discovery but faces challenges in routine clinical analysis. Immunochemical methods are better suited for high-throughput validation and assays.
Area of Science:
- Biochemistry
- Biotechnology
- Clinical Diagnostics
Background:
- Initial excitement in clinical proteomics focused on biomarker and drug discovery using mass spectrometry.
- Early belief that mass spectrometry could identify disease-specific markers for high-throughput screening has been difficult to realize.
- The full potential of proteomics for routine clinical applications remains largely unmet.
Purpose of the Study:
- To evaluate the role of proteomics in biomarker and drug discovery.
- To discuss the utility of 2D gels and mass spectrometry in the discovery phase.
- To advocate for alternative methods in routine clinical analysis.
Main Methods:
- Utilized 2D gels and mass spectrometry for biomarker discovery.
- Considered mass spectral characteristics for distinguishing between control and disease samples.
- Evaluated strategies for high-throughput clinical sample analysis.
Main Results:
- Mass spectrometry is powerful for biomarker discovery but not ideal for routine clinical analysis.
- Achieving high-throughput screening with mass spectrometry has proven difficult.
- 2D gels and mass spectrometry are versatile for the discovery phase of biomarker research.
Conclusions:
- While mass spectrometry has a role in drug and biomarker discovery, alternative strategies are more promising for routine analysis.
- Immunochemical methods are recommended for high-throughput validation and routine assay applications.
- The early promise of proteomics for routine clinical applications requires further development and potentially different approaches.