首页> 外文期刊>Journal of pharmaceutical sciences. >In vitro-in vivo correlation (IVIVC) models for metformin after administration of modified-release (MR) oral dosage forms to healthy human volunteers.
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In vitro-in vivo correlation (IVIVC) models for metformin after administration of modified-release (MR) oral dosage forms to healthy human volunteers.

机译:向健康人类志愿者服用调释(MR)口服剂型后的二甲双胍体外-体内相关性(IVIVC)模型。

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The objective of the current study was to develop and evaluate the internal predictability for level C and A in vitro-in vivo correlation (IVIVC) models for prototype modified-release (MR) dosage forms of metformin. In vitro dissolution data for metformin were collected for 22 h using a USP II (paddle) method. In vivo plasma concentration data were obtained from 8 healthy volunteers after administration of immediate-release (IR) and MR dosage forms of metformin. Linear level C IVIVC models were developed using dissolution data at 2.0 and 4.0 h and in vitro mean dissolution time (MDT). A deconvolution-based level A model was attempted through a correlation of percent in vivo input obtained through deconvolution and percent in vitro dissolution obtained experimentally. Further, basic and extended convolution level A IVIVC models were attempted for metformin. Internal predictability for the IVIVC models was assessed by comparing observed and predicted values for C(max) and AUC(INF). The results suggest that highly predictive level C models with prediction errors (%PE) of <5% could be developed. Mean percent in vivo input for metformin was incomplete from all formulations and did not exceed 35% of dose. The deconvolution-based level A models for all MR formulations were curvilinear. However, a unique IVIVC model applicable to all MR formulations could not be developed using the deconvolution approach. The basic convolution level A model, which used in vitro dissolution as the in vivo input, had %PE values as high as 103%. Using an extended convolution approach, which modeled the absorption of metformin using a Hill function, a level A IVIVC model with %PE as low as 11% was developed. In conclusion, the current work indicates that level C and A IVIVC models with good internal predictability may be developed for a permeability- and absorption window-limited drug such as metformin. Copyright 2001 Wiley-Liss, Inc. and the American Pharmaceutical Association J Pharm Sci 90:1176-1185, 2001
机译:本研究的目的是开发和评估二甲双胍的原型调释(MR)剂型的C级和A级体外-体内相关性(IVIVC)模型的内部可预测性。使用USP II(桨式)方法收集22小时的二甲双胍的体外溶出数据。在服用二甲双胍的速释(IR)和MR剂型后,从8名健康志愿者那里获得了体内血浆浓度数据。使用在2.0和4.0小时的溶出度数据以及体外平均溶出时间(MDT),开发了线性C级IVIVC模型。通过将通过反卷积获得的体内输入百分比与通过实验获得的体外溶出百分比相关联,尝试基于反卷积的A级模型。此外,尝试对二甲双胍使用基本和扩展的卷积A级IVIVC模型。通过比较C(max)和AUC(INF)的观察值和预测值,评估了IVIVC模型的内部可预测性。结果表明,可以建立预测误差(%PE)<5%的高度预测C级模型。在所有制剂中,二甲双胍的体内平均输入百分比均不完全,且不超过剂量的35%。所有MR公式的基于反卷积的A级模型都是曲线的。但是,无法使用反卷积方法开发适用于所有MR配方的独特IVIVC模型。使用体外溶解作为体内输入的基本卷积水平A模型的%PE值高达103%。使用扩展卷积方法(使用希尔函数对二甲双胍的吸收进行建模),开发了%PE低至11%的A级IVIVC模型。总之,当前的工作表明,可以为渗透性和吸收窗口受限的药物(如二甲双胍)开发具有良好内部可预测性的C级和A级IVIVC模型。版权所有2001 Wiley-Liss,Inc.和美国药学会J Pharm Sci 90:1176-1185,2001

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