Establishment and evaluation of a dynamic in vitro intestinal absorption model of lipid formulations.
- Author:
Ying LIU
1
;
Tao YI
;
Huan DI
;
Lu XIAO
;
Ji-Kui HE
Author Information
1. School of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China.
- Publication Type:Journal Article
- MeSH:
Animals;
Calcium;
metabolism;
Caprylates;
chemistry;
Digestion;
Glucose;
metabolism;
Glycerides;
chemistry;
Indomethacin;
chemistry;
Intestinal Absorption;
Lipids;
chemistry;
Lipolysis;
Models, Biological;
Potassium;
metabolism;
Rats;
Rats, Sprague-Dawley
- From:
Acta Pharmaceutica Sinica
2011;46(8):983-989
- CountryChina
- Language:Chinese
-
Abstract:
A new dynamic in vitro intestinal absorption model for screening and evaluating lipid formulations was established by means of the characteristics of the intestinal digestion and absorption of the lipid formulations. This model was composed of two systems, including intestinal digestion and the intestinal tissue culture, which drew the evaluation method of intestinal absorption into the in vitro lipolysis model. The influence of several important model parameters such as Ca2+, D-glucose, K+ on the two systems of this model has been investigated. The results showed that increasing of Ca2+ concentration could be significantly conductive to intestinal digestion. The increasing of D-glucose concentration could stepped significantly down the decay of the intestinal activity. K+ was able to maintain intestinal activity, but the influence of different concentration levels on the decay of the intestinal activity was of no significant difference. Thus the model parameters were set up as follows: Ca2+ for 10 mmol x L(-1), D-glucose for 15 mmol x L(-1) and K+ for 5.5 mmol x L(-1). Type I lipid formulation was evaluated with this model, and there was a significant correlation between the absorption curve in vitro and absorption curve in vivo of rats (r = 0.995 6, P < 0.01). These results demonstrated that this model can be an attractive and great potential method for the screening, evaluating and predicting of the lipid formulations.
