Gonçalves de Lima L, Rossi de Campos D
Universidade São Francisco, Bragança Paulista - São Paulo - Brazil.
Drug Res (Stuttg). 2016 May;66(5):225-9. doi: 10.1055/s-0035-1569327. Epub 2015 Dec 23.
Quetiapine is an atypical antipsychotic recommended as first-line treatment for acute bipolar depression. The extended-release quetiapine formulation is intended to be administered as an once-daily dosing. The development of an in vitro-in vivo correlation (IVIVC) and the use of in vitro data to predict in vivo bioavailability parameters has been of great interest for the rational development and evaluation process for extended release dosage forms. The aim of this study was to develop an IVIVC for quetiapine extended release formulation. In vitro dissolution rate data were obtained using USP apparatus 2 at 50 rpm, in 3 bio-relevant dissolution media with different pH values (1.2, 4.5 and 6.8). The drug release profiles of the 2 extended release dosage forms were compared using the similarity factor (f 2). The relative bioavailability of quetiapine was evaluated by a single-dose, randomized-sequence, open-label, 2 period cross over study with 16 healthy volunteers. A linear level A IVIVC model was established using percentage of absorbed and dissolved data obtained at pH 1.2. The developed IVIVC model was employed to predict quetiapine concentration-time profiles, as well as the bioequivalence parameters for test formulation. Percent prediction errors were estimated for Cmax and AUC to evaluate the validity of the correlation. The values did not exceed 15%, proving the predictability of the correlation model. In conclusion, the established level A IVIVC model proved to be an excellent tool for predicting the rate and extent of quetiapine absorption as characterized by Cmax and AUC for test formulation.
喹硫平是一种非典型抗精神病药物,被推荐作为急性双相抑郁的一线治疗药物。喹硫平缓释制剂旨在每日给药一次。体外-体内相关性(IVIVC)的建立以及利用体外数据预测体内生物利用度参数,对于缓释剂型的合理开发和评估过程具有重要意义。本研究的目的是建立喹硫平缓释制剂的IVIVC。使用USP装置2在50转/分钟的条件下,在3种具有不同pH值(1.2、4.5和6.8)的生物相关溶出介质中获得体外溶出速率数据。使用相似因子(f2)比较了2种缓释剂型的药物释放曲线。通过单剂量、随机序列、开放标签、2期交叉研究,对16名健康志愿者评估了喹硫平的相对生物利用度。使用在pH 1.2条件下获得的吸收和溶解数据的百分比建立了线性A水平IVIVC模型。所建立的IVIVC模型用于预测喹硫平的浓度-时间曲线以及受试制剂的生物等效性参数。估计了Cmax和AUC的预测误差百分比,以评估相关性的有效性。这些值不超过15%,证明了相关模型的可预测性。总之,所建立的A水平IVIVC模型被证明是预测受试制剂以Cmax和AUC表征的喹硫平吸收速率和程度的优秀工具。