Interlaboratory evaluation of LC-MS-based biomarker assays.
Kosuke Saito1, Ryoya Goda2, Koji Arai3
1National Institute of Health Sciences, Kanagawa, Japan.
Bioanalysis
|February 9, 2024
Summary
Interlaboratory studies on quantitative biomarker assays are essential for reliable drug development. This review highlights the need for robust validation methods to reduce variations and improve data comparability across different labs.
Area of Science:
- Biomarker discovery and validation
- Analytical chemistry
- Clinical diagnostics
Background:
- Biomarker assay validation is critical for drug development and clinical use.
- Interlaboratory reproducibility ensures reliable data comparison across research centers.
Purpose of the Study:
- To review interlaboratory studies of quantitative liquid chromatography-mass spectrometry (LC-MS)-based biomarker assays.
- To identify trends, challenges, and methods for improving assay validation and data normalization.
Main Methods:
- Literature review of interlaboratory studies using reference standards for calibration.
- Analysis of reported trends in biomarker assay validation parameters.
- Discussion of normalization strategies for interlaboratory biomarker data.
Main Results:
- Evaluation of analytical validation parameters in interlaboratory studies is often limited.
- Limited research exists on full parameter evaluation in interlaboratory settings.
- Some reports offer methods to mitigate interlaboratory variations in biomarker assay data.
Conclusions:
- Method validation across laboratories is crucial for reducing interlaboratory differences.
- Standardized validation enhances the reliability of biomarker responses.
- Further research is needed to fully address parameter evaluation in interlaboratory studies.
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