Quantitation of tizoxanide in multiple matrices to support cell culture, animal and human research.
Megan NearyUsman ArshadLee TathamHenry PertinezHelen BoxRajith Kr RajoliAnthony ValentijnJoanne SharpSteve P RannardGiancarlo A BiaginiPaul CurleyAndrew OwenPublished in: bioRxiv : the preprint server for biology (2021)
Currently nitazoxanide is being assessed as a candidate therapeutic for SARS-CoV-2. Unlike many other candidates being investigated, tizoxanide (the active metabolite of nitazoxanide) plasma concentrations achieve antiviral levels after administration of the approved dose, although higher doses are expected to be needed to maintain these concentrations across the dosing interval in the majority of patients. Here an LC-MS/MS assay is described that has been validated in accordance with Food and Drug Administration (FDA) guidelines. Fundamental parameters have been evaluated, and these included accuracy, precision and sensitivity. The assay was validated for human plasma, mouse plasma and Dulbeccos Modified Eagles Medium (DMEM) containing varying concentrations of Foetal Bovine Serum (FBS). Matrix effects are a well-documented source of concern for chromatographic analysis, with the potential to impact various stages of the analytical process, including suppression or enhancement of ionisation. Therefore, a robustly validated LC-MS/MS analytical method is presented capable of quantifying tizoxanide in multiple matrices with minimal impact of matrix effects. The validated assay presented here was linear from 15.6ng/mL to 1000ng/mL. Accuracy and precision ranged between 102.2% and 113.5%, 100.1% and 105.4%, respectively. The presented assay here has applications in both pre-clinical and clinical research and may be used to facilitate further investigations into the application of nitazoxanide against SARS-CoV-2.
Keyphrases
- sars cov
- high throughput
- drug administration
- end stage renal disease
- respiratory syndrome coronavirus
- endothelial cells
- liquid chromatography
- ejection fraction
- chronic kidney disease
- mass spectrometry
- simultaneous determination
- coronavirus disease
- risk assessment
- patient reported outcomes
- human health
- climate change
- high resolution
- induced pluripotent stem cells
- pluripotent stem cells
- neural network
- high speed
- data analysis