Pavankuamr Venkata V, Vinu C A, Mullangi Ramesh, Srinivas Nuggehally R
Drug Metabolism and Pharmacokinetics, Dr Reddy's Laboratories Ltd, Miyapur, Hyderabad-49, India.
Eur J Drug Metab Pharmacokinet. 2007 Jan-Mar;32(1):29-37. doi: 10.1007/BF03190987.
Allometric scaling has been used as an effective tool for the prediction of human pharmacokinetic parameters. Allometry has been a useful approach for the analysis of compounds that are eliminated unchanged in the urine and/or exhibit similar metabolic patterns across species. However, it has been a challenging issue to correctly predict human pharmacokinetic parameters for drugs that are eliminated intact and/or as conjugates in the bile. Ragaglitazar is a novel, non-thiazolidinedione peroxisome proliferator-activated receptor (PPAR) alpha- and gamma-agonist. In our investigation, preclinical pharmacokinetic data on ragaglitazar were gathered for several animal species (mice, rats, rabbits and dogs). Ragaglitazar when administered orally has shown a low clearance rate (Cl/F; < 5% of hepatic blood flow) in mice, rats and rabbits and a moderately high Cl/F in dogs (> 15% of hepatic blood flow). A qualitative estimation of rat bile has unequivocally confirmed the elimination of ragaglitazar in the bile. The human pharmacokinetic data are also indicative of the involvement of enterohepatic biliary recycling. In order to predict key parameters such as Cl/F and volume of distribution (V/F), simple allometry was the approach adopted at the onset. Although V/F scaled adequately, it failed to accurately predict human Cl/F. Therefore, standard correction factors such as maximum life span potential (MLP) and brain weight were also included. Although such modifications improved the linearity (r2 > 0.9), they failed to predict the investigated values. Further incorporation of correction factors particularly relevant to biliary excreted drugs improved the prediction of these values. Interestingly, the exclusion of dog data from the interspecies scaling considerably improved the prediction of both Cl/F and V/F.
异速生长比例法已被用作预测人体药代动力学参数的有效工具。异速生长比例法一直是分析那些以原形经尿液排出和/或在不同物种间呈现相似代谢模式的化合物的有用方法。然而,对于那些以原形和/或结合物形式经胆汁排出的药物,正确预测其人体药代动力学参数一直是个具有挑战性的问题。拉格列扎是一种新型的、非噻唑烷二酮类过氧化物酶体增殖物激活受体(PPAR)α和γ激动剂。在我们的研究中,收集了几种动物物种(小鼠、大鼠、兔子和狗)的拉格列扎临床前药代动力学数据。拉格列扎口服给药时,在小鼠、大鼠和兔子中显示出低清除率(Cl/F;<肝血流量的5%),而在狗中显示出中等偏高的Cl/F(>肝血流量的15%)。对大鼠胆汁的定性评估明确证实了拉格列扎经胆汁排出。人体药代动力学数据也表明存在肠肝循环。为了预测诸如Cl/F和分布容积(V/F)等关键参数,一开始采用的方法是简单的异速生长比例法。尽管V/F能充分按比例缩放,但它未能准确预测人体Cl/F。因此,还纳入了诸如最大寿命潜能(MLP)和脑重量等标准校正因子。尽管这些修正提高了线性度(r2>0.9),但它们仍未能预测所研究的值。进一步纳入与经胆汁排泄药物特别相关的校正因子改善了这些值的预测。有趣的是,在种间缩放中排除狗的数据显著改善了Cl/F和V/F的预测。