Phase 1 safety, tolerability, pharmacokinetics and pharmacodynamic results of KCL‐286, a novel retinoic acid receptor‐β agonist for treatment of spinal cord injury, in male healthy participants

British Journal of Clinical Pharmacology(2023)

引用 0|浏览0
暂无评分
摘要
Aims KCL‐286 is an orally available agonist that activates the retinoic acid receptor (RAR) β2, a transcription factor which stimulates axonal outgrowth. The investigational medicinal product is being developed for treatment of spinal cord injury (SCI). This adaptive dose escalation study evaluated the tolerability, safety and pharmacokinetics and pharmacodynamic activity of KCL‐286 in male healthy volunteers to establish dosing to be used in the SCI patient population. Methods The design was a double blind, randomized, placebo‐controlled dose escalation study in 2 parts: a single ascending dose adaptive design with a food interaction arm, and a multiple ascending dose design. RARβ2 mRNA expression was evaluated in white blood cells. Results At the highest single and multiple ascending doses (100 mg), no trends or clinically important differences were noted in the incidence or intensity of adverse events (AEs), serious AEs or other safety assessments with none leading to withdrawal from the study. The AEs were dry skin, rash, skin exfoliation, raised liver enzymes and eye disorders. There was an increase in mean maximum observed concentration and area under the plasma concentration–time curve up to 24 h showing a trend to subproportionality with dose. RARβ2 was upregulated by the investigational medicinal product in white blood cells. Conclusion KCL‐286 was well tolerated by healthy human participants following doses that exceeded potentially clinically relevant plasma exposures based on preclinical in vivo models. Target engagement shows the drug candidate activates its receptor. These findings support further development of KCL‐286 as a novel oral treatment for SCI.
更多
查看译文
关键词
spinal cord injury,spinal cord,pharmacokinetics,pharmacodynamic results,kcl‐286
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要