In vitro and in vivo evaluation of a novel capsule for colon-specific drug delivery
β Scribed by Min Han; Qiu-Li Fang; Hong-Wei Zhan; Tao Luo; Wen-Quan Liang; Jian-Qing Gao
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 280 KB
- Volume
- 98
- Category
- Article
- ISSN
- 0022-3549
No coin nor oath required. For personal study only.
β¦ Synopsis
The aim of this study was to estimate colon-specific drug delivery of a novel capsule (CS capsule). Theophylline was used as model drug and little was released from the CS capsules in the release medium mimicking physiological environment of stomach to small intestine. However, 66.7 +/- 8.8% theophylline was released from the capsules in the phosphate buffer (pH 6.8) mimicking the physiological environment of colon in the next 4 h, while the addition of galactomannanase (39.3 U/L) accelerated the disintegration of the CS capsule and enhanced the release rate to 92.6 +/- 6.0%. Rats in vivo pharmacokinetics demonstrated that the relative bioavailability of theophylline after intragastric administration of CS capsules was 76.72% with delayed T(max) of 8 h comparing to that of theophylline solution with T(max) of 1.5 h. Radiolabeled with technetium-99m, the CS capsule could keep intact from stomach to small intestine while disintegration of the CS capsule was observed in the proximal colon or the joint between the distal small intestine and right colon. A great quantity of radiolabeled marker was released as well as distributed in the whole colon at 10 h after administration. As a whole, the CS capsule prepared could provide an alternative carrier for the colon-specific drug delivery.
π SIMILAR VOLUMES
Oral delivery of hydrophilic, ionisable drugs remains a major challenge in drug development and a number of active pharmaceuticals fail to reach the market of oral drugs because of a lack of absorption and/or stability issues. One possible approach to improving the bioavailability of such drug candi
The ability to generate predictive models linking the in vitro assessment of pharmaceutical products with in vivo performance has the potential to enable greater control of clinical quality whilst minimizing the number of in vivo studies in drug development. Artificial neural networks (ANNs) provide