Safety, pharmacokinetics, and food effect of sudapyridine (WX-081), a novel anti-tuberculosis candidate in healthy Chinese subjects.
Chengyin YuHongjie QianQingqing WuYang ZouQicheng DingYuting CaiLiyu LiangJuncai XuLei LiBin ZanYongguo LiYun LiuPublished in: Clinical and translational science (2024)
This study aimed to assess the safety, pharmacokinetics, and food impact on sudapyridine (WX-081), a novel drug designed to inhibit mycobacterium ATP synthase, with clinical applications for drug-resistant tuberculosis (TB) treatment. The research comprised two arms: a single ascending dose (SAD) arm (30 to 600 mg, N = 52) and a multiple ascending dose (MAD) arm (200 to 400 mg, N = 30). The influence of food was evaluated using a 400 mg dose within an SAD cohort. Plasma concentrations of WX-081 and M3 (main metabolite of WX-081) were analyzed using a validated liquid-chromatography tandem mass spectrometry method. In the SAD arm, mean residence time (MRT 0-t ), terminal half-life, and clearance of WX-081 ranged from 18.87 to 52.8 h, 31.39 to 236.57 h, and 6.4 to 80.34 L/h, respectively. The area under the curve from time zero to the last measurable timepoint (AUC 0-t ) of WX-081 showed dose-proportional increases in the SAD arm. The disparity between fasted and fed states of WX-081 was significant (p < 0.05), with fed dosing resulting in a 984.07% higher AUC 0-t and 961.55% higher maximum plasma concentration. In both the SAD and MAD arms, one case each exhibited a 1 degree atrioventricular block. No QTc elongation was observed, and adverse events were not dose-dependent. Favorable exposure, tolerability, safety, and an extended MRT 0-t suggest that WX-081 holds promise as a phase II development candidate for drug-resistant TB treatment.
Keyphrases
- drug resistant
- mycobacterium tuberculosis
- multidrug resistant
- acinetobacter baumannii
- liquid chromatography tandem mass spectrometry
- phase ii
- open label
- clinical trial
- simultaneous determination
- ms ms
- randomized controlled trial
- hepatitis c virus
- pulmonary tuberculosis
- risk assessment
- solid phase extraction
- pulmonary artery
- atrial fibrillation
- cystic fibrosis
- machine learning
- phase iii
- deep learning
- big data
- antiretroviral therapy