Development and Validation of a HPLC-MS/MS Method to Measure Nifuroxazide and Its Application in Healthy and Glioblastoma-Bearing Mice.
Tommaso CerutiQuintino Giorgio D'AlessandrisRoberta FrapolliJay GopalakrishnanMariachiara BuccarelliMarina MeroniLiverana LaurettiLucia Ricci-VitianiRoberto PalliniMassimo ZucchettiPublished in: Pharmaceutics (2022)
Nifuroxazide (NAZ), a nitrofuran derivative used to treat diarrhea, has been recently shown to possess anticancer activity. However, its pharmacokinetic profile is poorly known. The pharmacokinetic profile of NAZ was thus investigated in mice using a newly developed method based on high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). We determined the concentrations of NAZ in the plasma and brain tissue of mice treated with the drug. The method proved to be specific, reproducible, precise, and accurate. It also demonstrated high sensitivity, reaching an LOQ in the order of ppb for both matrices, using samples of 100 µL or 0.2 g. The new HPLC-MS/MS assay was successfully applied to study the pharmacokinetics of NAZ after chronic intraperitoneal administration in mice at a dose of 30 mg/kg. One hour after treatment, plasma concentrations of NAZ were in the range of 336-2640 ng/mL. Moreover, unlike the brains of healthy mice or those with healed mechanical injuries, we found that NAZ was able to cross the injured blood-brain barrier of tumor-infiltrated brains. Thus, following i.p. administration, NAZ reaches systemic levels suitable for testing its efficacy in preclinical models of glioblastoma. Overall, these pharmacokinetic data provide robust evidence supporting the repositioning of NAZ as an antitumor drug.
Keyphrases
- ms ms
- liquid chromatography tandem mass spectrometry
- simultaneous determination
- blood brain barrier
- high fat diet induced
- solid phase extraction
- high performance liquid chromatography
- mass spectrometry
- emergency department
- blood pressure
- stem cells
- type diabetes
- cerebral ischemia
- mesenchymal stem cells
- subarachnoid hemorrhage
- white matter
- big data
- multiple sclerosis
- brain injury
- single cell
- ultra high performance liquid chromatography
- artificial intelligence
- drug induced
- cell therapy