Prozone and postzone effect: Unravelling the issues and designing a protocol to address hook effect in immunoassays
Shanghai Jiao Tong University Journal CenterThe hook effect is best explained by how the analyte signal generated from the assay is compromised due to either antibody excess or antigen excess. Reporting false negatives can also impact clinical decisions that may have adverse effects on the patient. The clinical impact of the hook effect will lead to reporting either inaccurately low or false-negative results. Six different patient pools were tested using immunoassay screening methods and also the LC-MS/MS confirmation method. For the immunoassay screening method, 50 μL of each patient sample is pooled together for every 100 patient samples. If there is a sample with the hook effect, it would give a very low or a negative result when the pool is tested neat and it would give a positive result when the pool is tested in a 1∶100 dilution. The drugs tested included Cannabinoids, Benzodiazepines, Amphetamines, Ecstasy, EDP, Opiates, Heroin, Cocaine, Fentanyl, Oxycodone and a combined method for Buprenorphine/Norbuprenorphine. Patient Pool number 6 showed a positive Buprenorphine and Norbuprenorphine that was traced back to the sample with the hook effect based on the suggested protocol. The random and different patient pools were prepared by using a Gilson GX241 liquid handler. The neat result for Pool number 6 showed the immunoassay for Buprenorpone and Norpuprenorphine was “Not Detected” at 2.1 μg/L while the LC-MS/MS result was 2,780 μg/L (cut-off <10 μg/L). However, the result for the 1 in 100 dilutions of the pool for the immunoassay was “Detected” at 37 μg/L without multiplying by the dilution factor. The result for the LC-MS/MS was 2,970 μg/L. The suggested protocol is practical and cost-effective to avoid the clinical impact of reporting either inaccurately low or false-negative results. Also, can be used for testing when suspected samples with the hook effect are investigated.
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