de Winter Willem, DeJongh Joost, Post Teun, Ploeger Bart, Urquhart Richard, Moules Ian, Eckland David, Danhof Meindert
LAP&P Consultants BV, Leiden, The Netherlands.
J Pharmacokinet Pharmacodyn. 2006 Jun;33(3):313-43. doi: 10.1007/s10928-006-9008-2. Epub 2006 Mar 22.
Effective long-term treatment of Type 2 Diabetes Mellitus (T2DM) implies modification of the disease processes that cause this progressive disorder. This paper proposes a mechanism-based approach to disease progression modeling of T2DM that aims to provide the ability to describe and quantify the effects of treatment on the time-course of the progressive loss of beta-cell function and insulin-sensitivity underlying T2DM. It develops a population pharmacodynamic model that incorporates mechanism-based representations of the homeostatic feedback relationships between fasting levels of plasma glucose (FPG) and fasting serum insulin (FSI), and the physiological feed-forward relationship between FPG and glycosylated hemoglobin A1c (HbA1c). This model was developed on data from two parallel one-year studies comparing the effects of pioglitazone relative to metformin or sulfonylurea treatment in 2,408 treatment-naïve T2DM patients. It was found that the model provided accurate descriptions of the time-courses of FPG and HbA1c for different treatment arms. It allowed the identification of the long-term effects of different treatments on loss of beta-cell function and insulin-sensitivity, independently from their immediate anti-hyperglycemic effects modeled at their specific sites of action. Hence it avoided the confounding of these effects that is inherent in point estimates of beta-cell function and insulin-sensitivity such as the widely used HOMA-%B and HOMA-%S. It was also found that metformin therapy did not result in a reduction in FSI levels in conjunction with reduced FPG levels, as expected for an insulin-sensitizer, whereas pioglitazone therapy did. It is concluded that, although its current implementation leaves room for further improvement, the mechanism-based approach presented here constitutes a promising conceptual advance in the study of T2DM disease progression and disease modification.
2型糖尿病(T2DM)的有效长期治疗意味着改变导致这种进行性疾病的病理过程。本文提出了一种基于机制的T2DM疾病进展建模方法,旨在能够描述和量化治疗对T2DM潜在的β细胞功能渐进性丧失和胰岛素敏感性时间进程的影响。它开发了一种群体药效学模型,该模型纳入了基于机制的空腹血糖(FPG)水平和空腹血清胰岛素(FSI)之间的稳态反馈关系,以及FPG和糖化血红蛋白A1c(HbA1c)之间的生理前馈关系。该模型是基于两项平行的为期一年的研究数据开发的,这两项研究比较了吡格列酮相对于二甲双胍或磺脲类药物治疗对2408例初治T2DM患者的影响。研究发现,该模型对不同治疗组的FPG和HbA1c时间进程提供了准确的描述。它能够识别不同治疗对β细胞功能丧失和胰岛素敏感性的长期影响,而不受其在特定作用部位模拟的即时降糖作用的影响。因此,它避免了β细胞功能和胰岛素敏感性点估计中固有的这些影响的混淆,如广泛使用的HOMA-%B和HOMA-%S。还发现,二甲双胍治疗并未如胰岛素增敏剂预期的那样,在降低FPG水平的同时导致FSI水平降低,而吡格列酮治疗则会。结论是,尽管其目前的实施仍有进一步改进的空间,但本文提出的基于机制的方法在T2DM疾病进展和疾病改善研究中构成了一个有前景的概念性进展。