Kuentz Martin, Nick Sonja, Parrott Neil, Röthlisberger Dieter
F. Hoffmann-La Roche Ltd., Pharmaceutical and Analytical R&D, Bldg./Lab. 072/338, Grenzacherstrasse, CH-4070 Basel, Switzerland.
Eur J Pharm Sci. 2006 Jan;27(1):91-9. doi: 10.1016/j.ejps.2005.08.011. Epub 2005 Oct 10.
The aim of this paper is to propose a pharmaceutical risk assessment strategy that goes beyond the usual characterisation of a clinical candidate molecule according to the biopharmaceutical classification system (BCS). This strategy was evaluated for a new CNS drug with poor solubility and good permeability. In a first step, GastroPlus was used to simulate the absorption process based on preformulation data. These input data involved a physicochemical drug characterisation including drug solubility measurements in simulated physiological media, as well as permeability determination. Further computer simulations were conducted to determine the sensitivity to changes of selected input values. Thus, oral bioavailability prediction was studied as a function of the particle size and drug solubility. The second part of the presented strategy for preclinical formulation development was to test specially designed formulations in a 2(3) screening factorial plan using the dog as the animal model. The factors were the dosage form, food effect and dose strength. One of the two experimental formulations was a capsule filled with the micronised drug, whereas the other formulation was a surfactant solution of the drug. Accordingly, a "worst case" formulation was compared with a "best case" drug solution over the clinically relevant dose range in fasted and fed dogs. The results of the computer simulation indicated that a fraction of the dose is dissolved in the stomach and precipitates partially in the small intestine. The simulation predicted almost full drug absorption during the GI transit time. Interestingly, the simulation implies that stomach drug solubility had little impact on overall fraction absorbed. The results also showed that changes of particle size and reference solubility within two orders of magnitude hardly affected the oral bioavailability. This in silico deduction was subsequently compared with the results of the dog studies. Indeed a surfactant drug solution showed no clear biopharmaceutical superiority over a solid capsule formulation on the average of both dose strengths in fasted and fed dogs. Despite the substantial variability of the in vivo data, the factorial screening design indicated marginal significant interaction between the dose level and feeding status. This can be viewed as a flag for the planning of further studies, since a potential effect of one factor may depend on the level of the other. In summary, the GastroPlus simulation together with the statistically designed dog study provided a thorough biopharmaceutical assessment of the new CNS drug. Based on these findings, it was decided to develop a standard granulate in capsules for phase I studies. More sophisticated formulation options were abandoned and so the clinical formulation development was conducted in a cost-efficient way.
本文的目的是提出一种药物风险评估策略,该策略超越了根据生物药剂学分类系统(BCS)对临床候选分子进行的常规表征。该策略针对一种溶解度差但渗透性好的新型中枢神经系统药物进行了评估。第一步,使用GastroPlus根据制剂前数据模拟吸收过程。这些输入数据包括药物的物理化学特性表征,其中包括在模拟生理介质中的药物溶解度测量以及渗透性测定。还进行了进一步的计算机模拟,以确定对选定输入值变化的敏感性。因此,研究了口服生物利用度预测作为粒径和药物溶解度的函数。临床前制剂开发所提出策略的第二部分是在以狗为动物模型的2(3)筛选析因设计中测试专门设计的制剂。因素包括剂型、食物效应和剂量强度。两种实验制剂中的一种是填充有微粉化药物的胶囊,而另一种制剂是药物的表面活性剂溶液。因此,在空腹和进食的狗的临床相关剂量范围内,将“最坏情况”制剂与“最佳情况”药物溶液进行了比较。计算机模拟结果表明,一部分剂量在胃中溶解并在小肠中部分沉淀。模拟预测在胃肠道转运时间内药物几乎完全吸收。有趣的是,模拟表明胃中药物溶解度对总体吸收分数影响很小。结果还表明,粒径和参考溶解度在两个数量级内的变化几乎不影响口服生物利用度。随后将这种计算机模拟推导结果与狗研究的结果进行了比较。实际上,在空腹和进食的狗的两种剂量强度的平均值上,表面活性剂药物溶液相对于固体胶囊制剂并未显示出明显的生物药剂学优势。尽管体内数据存在很大变异性,但析因筛选设计表明剂量水平和进食状态之间存在边际显著相互作用。这可以被视为进一步研究计划的一个信号,因为一个因素的潜在影响可能取决于另一个因素的水平。总之,GastroPlus模拟与经统计设计的狗研究一起为这种新型中枢神经系统药物提供了全面的生物药剂学评估。基于这些发现,决定开发用于I期研究的胶囊标准颗粒剂。放弃了更复杂的制剂选择,从而以具有成本效益的方式进行了临床制剂开发。