The Use of Bile Salt Micelles for the Prediction of Human Intestinal Absorption

Flow-through versus static in vitro percutaneous penetration at 50 years: Possible relevance for bioequivalence

OBJECTIVE

Compare the relevance of flow-through versus static diffusion cells data as relates to bioequivalence.

METHODS

Search was conducted on PubMed and Google Scholar. Keywords utilized: static cells, flow-through cells, percutaneous permeation, percutaneous absorption, dermal absorption, and types of permeation.

RESULTS

Fifteen articles were identified with no consistent significant differences between flow-through and static diffusion cells identified; any differences could exist for two main reasons. (1) Sampling time differences and (2) physical chemistry (lipophilic vs hydrophilic) of the penetrant examined.

CONCLUSION

Even though there was no consistent significant difference observed, labs have generally adapted to the method they regularly use, which is usually stated in their respective articles. Well-designed multicentered prospective comparative experiments should clarify potential advantages and disadvantages for each. For flow-through systems, the flow rate that most approximates to comparable in vivo data for animals and humans may be preferable.

Formation of a Bile Salt-Drug Hydrogel to Predict Human Intestinal Absorption

The unique character of bile salts to self-assemble into hydrogels in the presence of halide salts was exploited in this work to facilitate the prediction of human intestinal absorption (%HIA) for a set of 25 compounds. This was achieved by firstly incorporating each compound separately within the process of gel formation to create a series of gel-drug membranes. Scanning electron microscopy analysis of the freeze-dried samples of the blank bile salt hydrogels and drug-loaded bile salt hydrogels indicated a unique microstructure made of a network of intertwined fibrils. Drug-loaded sodium deoxycholate hydrogels were then utilized as the donor phase to study permeability using flow-through and static diffusion cells. The resulting values of the release-permeability coefficient (K_p) were then analyzed, along with other molecular descriptors, for the %HIA using multiple linear regression. Overall, when comparing predicted values (using the systems presented in this study) with known literature values, it can be seen that both methods (i.e., using static and flow-through cells) had good predictability with R²_PRED values of 79.8% and 79.7%, respectively. This study therefore proposes a novel, accurate, and precise way to predict HIA for compounds of pharmaceutical interest using a simple in vitro permeation system. It is important to develop alternatives to the current methods used in prediction of HIA, which are expensive and time-consuming or include the use of animals. Therefore, the proposed method in this study being economic and time-saving provides superiority over these current methods and suggests the possibility of its use as an alternate to such methods for prediction of HIA.