Sun Duxin, Gao Wei, Hu Hongxiang, Zhou Simon
Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI, 48109, USA.
Translational Development and Clinical Pharmacology, Bristol Meyer Squibb Company, Summit, NJ, 07920, USA.
Acta Pharm Sin B. 2022 Jul;12(7):3049-3062. doi: 10.1016/j.apsb.2022.02.002. Epub 2022 Feb 11.
Ninety percent of clinical drug development fails despite implementation of many successful strategies, which raised the question whether certain aspects in target validation and drug optimization are overlooked? Current drug optimization overly emphasizes potency/specificity using structure‒activity-relationship (SAR) but overlooks tissue exposure/selectivity in disease/normal tissues using structure‒tissue exposure/selectivity-relationship (STR), which may mislead the drug candidate selection and impact the balance of clinical dose/efficacy/toxicity. We propose structure‒tissue exposure/selectivity-activity relationship (STAR) to improve drug optimization, which classifies drug candidates based on drug's potency/selectivity, tissue exposure/selectivity, and required dose for balancing clinical efficacy/toxicity. Class I drugs have high specificity/potency and high tissue exposure/selectivity, which needs low dose to achieve superior clinical efficacy/safety with high success rate. Class II drugs have high specificity/potency and low tissue exposure/selectivity, which requires high dose to achieve clinical efficacy with high toxicity and needs to be cautiously evaluated. Class III drugs have relatively low (adequate) specificity/potency but high tissue exposure/selectivity, which requires low dose to achieve clinical efficacy with manageable toxicity but are often overlooked. Class IV drugs have low specificity/potency and low tissue exposure/selectivity, which achieves inadequate efficacy/safety, and should be terminated early. STAR may improve drug optimization and clinical studies for the success of clinical drug development.
尽管实施了许多成功的策略,但90%的临床药物开发仍以失败告终,这就引发了一个问题:靶点验证和药物优化的某些方面是否被忽视了?当前的药物优化过度强调利用构效关系(SAR)来提高效力/特异性,却忽视了利用构-组织暴露/选择性关系(STR)来评估药物在疾病/正常组织中的暴露/选择性,这可能会误导候选药物的选择,并影响临床剂量/疗效/毒性之间的平衡。我们提出了构-组织暴露/选择性-活性关系(STAR)来改进药物优化,该方法根据药物的效力/选择性、组织暴露/选择性以及平衡临床疗效/毒性所需的剂量对候选药物进行分类。I类药物具有高特异性/效力和高组织暴露/选择性,只需低剂量就能以高成功率实现卓越的临床疗效/安全性。II类药物具有高特异性/效力,但组织暴露/选择性低,需要高剂量才能实现临床疗效,但毒性也高,需要谨慎评估。III类药物的特异性/效力相对较低(尚可),但组织暴露/选择性高,只需低剂量就能实现临床疗效,毒性可控,但这类药物常被忽视。IV类药物的特异性/效力低,组织暴露/选择性也低,疗效/安全性不足,应尽早终止研发。STAR可能会改进药物优化和临床研究,以推动临床药物开发取得成功。