Method development workflow for quantifying protein biomarkers by hybrid LC-MS/MS.

Area of Science:

• Bioanalytical Chemistry
• Biomarker Discovery
• Mass Spectrometry

Background:

• Lack of industry-standard guidance for hybrid LC-MS/MS assay development and validation for protein biomarkers.
• Particular need for standardized methods to evaluate parallelism in these assays.

Purpose of the Study:

• To develop and validate a quantitative hybrid LC-MS/MS workflow for endogenous protein biomarkers.
• To address the lack of guidance on parallelism evaluation in bioanalytical method development.

Main Methods:

• Utilized a human/mouse endogenous protein as a model analyte.
• Employed a surrogate matrix approach with a recombinant protein calibrant.
• Assessed parallelism between surrogate and authentic matrices, and between recombinant and authentic protein forms.

Main Results:

• Successfully identified a suitable surrogate matrix.
• Established and confirmed parallelism for both matrix and protein forms.
• Qualified the final method using precision, accuracy, and recovery assessments.

Conclusions:

• The developed workflow provides a robust approach for hybrid LC-MS/MS method development for endogenous protein biomarkers.
• This validated workflow can be applied in future bioanalytical studies to ensure reliable quantification.
• Addresses a critical gap in industry-standard guidance for protein biomarker assay validation.