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Updated: May 22, 2025

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Published on: November 10, 2016
Development and analytical performance of a new research use only (RUO) GP73 automated immunoassay
Shaohua Ning1, Enfu Liu1, Fanju Meng1
1Diagnostics Discovery Research & Development, Abbott Diagnostics, Shanghai, China.
This study details a new research-use-only immunoassay for measuring Golgi protein 73 (GP73) in serum. The assay demonstrates stability and accuracy, supporting its use in assessing chronic liver disease.
Area of Science:
- Biochemistry
- Clinical Chemistry
- Immunology
Background:
- Golgi protein 73 (GP73) is a recognized serum biomarker for evaluating chronic liver disease progression.
- Accurate quantification of GP73 is crucial for clinical assessment and research.
Purpose of the Study:
- To develop and validate a research use only (RUO) immunoassay for detecting serum GP73 concentration.
- To evaluate the performance characteristics of the GP73 immunoassay on the Alinity i system.
Main Methods:
- Development of a prototype immunoassay using specific internal antibodies for GP73 capture and detection.
- Utilization of an internal recombinant GP73 standard for assay calibration and controls.
- Performance evaluation including stability, precision, sensitivity (Limit of Quantitation), linearity, and interference studies on the Alinity i system.
Main Results:
- The RUO Alinity i GP73 immunoassay demonstrated excellent stability, with reagents stable on-board for over 30 days and calibrators stable at 2-8°C for 28 days.
- Assay precision showed total %CV ≤3% over 20 days, with a Limit of Quantitation (LoQ) of 0.20 ng/mL or lower.
- Linearity was confirmed within the range of 2.1 ng/mL - 1000.0 ng/mL, and no significant interference was observed from common endogenous substances or heterophile antibodies (HAMA/RF).
Conclusions:
- The developed RUO Alinity i GP73 immunoassay is reliable and robust for measuring serum GP73 concentrations.
- This validated assay provides a valuable tool for research into chronic liver disease assessment.
- The assay's performance characteristics support its potential for future clinical applications in liver disease monitoring.
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