Improving Dissolution Behavior and Oral Absorption of Drugs with pH-Dependent Solubility Using pH Modifiers: A Physiologically Realistic Mass Transport Analysis

溶解 溶解度 化学 二元酸 剂型 生物利用度 酒石酸 吸收(声学) 色谱法 生物制药分类系统 核化学 药品 药理学 有机化学 柠檬酸 物理 医学 声学
作者
Niloufar Salehi,Gislaine Kuminek,Jozef Al-Gousous,David C. Sperry,Dale E. Greenwood,Nicholas M. Waltz,Gordon L. Amidon,Robert M. Ziff,Gregory E. Amidon
出处
期刊:Molecular Pharmaceutics [American Chemical Society]
卷期号:18 (9): 3326-3341 被引量:22
标识
DOI:10.1021/acs.molpharmaceut.1c00262
摘要

Orally dosed drugs must dissolve in the gastrointestinal (GI) tract before being absorbed through the epithelial cell membrane. In vivo drug dissolution depends on the GI tract's physiological conditions such as pH, residence time, luminal buffers, intestinal motility, and transit and drug properties under fed and fasting conditions (Paixão, P. et al. Mol. Pharm.2018 and Bermejo, et al. M. Mol. Pharm.2018). The dissolution of an ionizable drug may benefit from manipulating in vivo variables such as the environmental pH using pH-modifying agents incorporated into the dosage form. A successful example is the use of such agents for dissolution enhancement of BCS class IIb (high-permeability, low-solubility, and weak base) drugs under high gastric pH due to the disease conditions or by co-administration of acid-reducing agents (i.e., proton pump inhibitors, H2-antagonists, and antacids). This study provides a rational approach for selecting pH modifiers to improve monobasic and dibasic drug compounds' dissolution rate and extent under high-gastric pH dissolution conditions, since the oral absorption of BCS class II drugs can be limited by either the solubility or the dissolution rate depending on the initial dose number. Betaine chloride, fumaric acid, and tartaric acid are examples of promising pH modifiers that can be included in oral dosage forms to enhance the rate and extent of monobasic and dibasic drug formulations. However, selection of a suitable pH modifier is dependent on the drug properties (e.g., solubility and pKa) and its interplay with the pH modifier pKa or pKas. As an example of this complex interaction, for basic drugs with high pKa and intrinsic solubility values and large doses, a polyprotic pH modifier can be expected to outperform a monoacid pH modifier. We have developed a hierarchical mass transport model to predict drug dissolution of formulations under varying pH conditions including high gastric pH. This model considers the effect of physical and chemical properties of the drug and pH modifiers such as pKa, solubility, and particle size distribution. This model also considers the impact of physiological conditions such as stomach emptying rate, stomach acid and buffer secretion, residence time in the GI tract, and aqueous luminal volume on drug dissolution. The predictions from this model are directly applicable to in vitro multi-compartment dissolution vessels and are validated by in vitro experiments in the gastrointestinal simulator. This model's predictions can serve as a potential data source to predict plasma concentrations for formulations containing pH modifiers administered under the high-gastric pH conditions. This analysis provides an improved formulation design procedure using pH modifiers by minimizing the experimental iterations under both in vitro and in vivo conditions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
ww发布了新的文献求助10
刚刚
22发布了新的文献求助10
1秒前
zhui发布了新的文献求助10
1秒前
2秒前
Jenny应助哈哈哈哈采纳,获得10
3秒前
笨笨芯应助Miracle采纳,获得10
3秒前
研友_LJGpan完成签到,获得积分10
3秒前
xiaozhenA完成签到,获得积分10
3秒前
junzilan发布了新的文献求助10
3秒前
云澈发布了新的文献求助10
3秒前
Hello paper发布了新的文献求助20
4秒前
a111完成签到,获得积分10
4秒前
乐乐应助zzznznnn采纳,获得10
4秒前
哈哈完成签到,获得积分20
5秒前
阳光衣完成签到,获得积分0
5秒前
7秒前
苏兴龙关注了科研通微信公众号
7秒前
7秒前
脑洞疼应助谦让的含海采纳,获得10
7秒前
华华发布了新的文献求助10
7秒前
7秒前
Orange应助命运的X号采纳,获得10
7秒前
云澈完成签到,获得积分10
9秒前
风趣的觅山完成签到,获得积分10
9秒前
打打应助SCI采纳,获得50
9秒前
pinging应助Wang采纳,获得10
9秒前
9秒前
灵巧荆发布了新的文献求助10
10秒前
和谐续完成签到 ,获得积分10
10秒前
李健应助是天使呢采纳,获得10
10秒前
10秒前
11秒前
香菜兔子完成签到,获得积分10
11秒前
茶艺大师づ完成签到,获得积分0
11秒前
蓝愿完成签到,获得积分10
11秒前
12秒前
努力的小狗屁完成签到,获得积分10
12秒前
12秒前
慕青应助彬彬采纳,获得10
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527849
求助须知:如何正确求助?哪些是违规求助? 3107938
关于积分的说明 9287239
捐赠科研通 2805706
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716893
科研通“疑难数据库(出版商)”最低求助积分说明 709794