Supporting immunoassay design with biophysical tools.

In this article, we demonstrate how the application of biophysical tools facilitates the design of robust immunoassays. The binding characteristics of the reagents used in an immunoassay determine the assay response to the analyte concentrations. We applied several biophysical methods to obtain pertinent equilibrium and kinetic coefficients and used this information in the design of a microparticle-based immunoassay for detection of neutrophil gelatinase-associated lipocalin (NGAL), which is a new diagnostic marker of acute kidney injury (AKI). We characterized the conformational stability of recombinant human NGAL and the solution phase binding properties of six monoclonal antibodies. A preferred antibody pair was selected on the basis of the affinities of the antibodies and their sandwich pairing capabilities. One of the antibodies was coated on magnetic microparticles, and the second antibody was conjugated with a reporter group. The apparent kinetic rates of the immobilized and conjugated antibodies were measured and used to compute the assay calibration plot for the target concentration range of the analyte at specific incubation times. The experimental assay results were found to be in good agreement with the computed data, confirming that applying biophysical tools provides a solid foundation for immunoassay design and optimization.

Evaluation of the ARCHITECT urine NGAL assay: assay performance, specimen handling requirements and biological variability.

OBJECTIVES: NGAL (Neutrophil Gelatinase-Associated Lipocalin) has emerged as a new biomarker for the identification of acute kidney injury. Reliable clinical evaluations require a simple, robust test method for NGAL, and knowledge of specimen handling and specimen stability characteristics. We evaluated the performance of a new urine NGAL assay on the ARCHITECT analyzer. METHODS: Assay performance characteristics were evaluated using standard protocols. Urine specimen storage requirements were determined and biological variability was assessed in a self-declared apparently healthy population. RESULTS: Assay performance data showed good precision, sensitivity and lot-to-lot reproducibility. There was good short term 2-8 degrees C sample stability, however, long term storage samples must be kept at -70 degrees C or colder. The largest variance component in a biological variance study was within-day. CONCLUSIONS: The ARCHITECT NGAL assay proved to be a precise and reproducible assay for the determination of urine NGAL.