Predicting Passive Intestinal Absorption Using A Single Parameter

Behavioural alterations induced by the anxiolytic pollutant oxazepam are reversible after depuration in a freshwater fish

Anthropogenic pharmaceutical pollutants have been detected in nature across the globe, and recent work has shown negative effects of pharmaceuticals on the health and welfare of many animals. However, whether alterations can be reversed has been poorly investigated, although such studies are essential to assess the effects of high-peak exposure events in waterways where pharmaceutical concentrations are usually low. In this study, we investigated the effects of two concentrations (environmentally relevant 1 μg L^-1 and high 100 μg L^-1) of oxazepam, an anxiolytic commonly detected in aquatic environments, and whether behavioural alterations are reversible after depuration. Specifically, we measured daytime and night-time swimming activity and daytime behaviours related to boldness (foraging, sheltering and routine swimming activity) using the freshwater burbot (Lota lota). We found that both swimming activity and boldness were affected by oxazepam. Fish exposed to the higher level had a higher burst swimming duration (i.e., fast swimming bouts), both in the daytime and night-time trials. Further, fish exposed to the lower oxazepam level spent less time sheltering than control- and high-level exposed fish, but there was no difference between the control and high oxazepam treatments. For routine swimming activity, quantified in the boldness trials, and for latency to forage, there were no treatment effects. When retesting the fish after depuration, the detected behavioural alterations were no longer present. Since the magnitude of these effects were not consistent across endpoints, our study suggests that oxazepam might not be a great concern for this particular, stress tolerant, species, highlighting the importance of evaluating species-specific effects of pharmaceuticals. The observation that the effects we did find were reversible after depuration is encouraging, and indicates that rapid restoration of behaviours after removal from oxazepam contamination is possible.

In vitro oral drug permeation models: the importance of taking physiological and physico-chemical factors into consideration

INTRODUCTION

The assessment of intestinal membrane permeability properties of new chemical entities is a crucial step in the drug discovery and development process and a variety of in vitro models, methods and techniques are available to estimate the extent of oral drug absorption in humans. However, variations in certain physiological and physico-chemical factors are often not reflected in the results and the complex dynamic interplay between these factors is sometimes oversimplified with in vitro models. Areas covered: In vitro models to evaluate drug pharmacokinetics are briefly outlined, while both physiological and physico-chemical factors that may have an influence on these techniques are critically reviewed. The shortcomings identified for some of the in vitro techniques are discussed in conjunction with novel ways to improve and thereby overcome some challenges. Expert opinion: Although conventional in vitro methods and theories are used as basic guidelines to predict drug absorption, critical evaluations have identified some shortcomings. Advancements in technology have made it possible to investigate and understand the role of physiological and physico-chemical factors in drug delivery more clearly, which can be used to improve and refine the techniques to more closely mimic the in vivo environment.

Correlation between octanol/water and liposome/water distribution coefficients and drug absorption of a set of pharmacologically active compounds

Absorption and consequent therapeutic action are key issues in the development of new drugs by the pharmaceutical industry. In this sense, different models can be used to simulate biological membranes to predict the absorption of a drug. This work compared the octanol/water and the liposome/water models. The parameters used to relate the two models were the distribution coefficients between liposomes and water and octanol and water and the fraction of drug orally absorbed. For this study, 66 drugs were collected from literature sources and divided into four groups according to charge and ionization degree: neutral; positively charged; negatively charged; and partially ionized/zwitterionic. The results show a satisfactory linear correlation between the octanol and liposome systems for the neutral (R²= 0.9324) and partially ionized compounds (R²= 0.9367), contrary to the positive (R²= 0.4684) and negatively charged compounds (R²= 0.1487). In the case of neutral drugs, results were similar in both models because of the high fraction orally absorbed. However, for the charged drugs (positively, negatively, and partially ionized/zwitterionic), the liposomal model has a more-appropriate correlation with absorption than the octanol model. These results show that the neutral compounds only interact with membranes through hydrophobic bonds, whereas charged drugs favor electrostatic interactions established with the liposomes. With this work, we concluded that liposomes may be a more-appropriate biomembrane model than octanol for charged compounds.

A ‘Rule of Unity’ for Human Intestinal Absorption

The ability to predict the passive intestinal absorption of organic compounds can be a valuable tool in drug design. Although Lipinski's 'rule of 5' is commonly used for this purpose, it does not routinely give reliable results. An alternative 'rule of unity' is proposed to predict the absorption efficiency of orally administered drugs that are passively transported. The rule of unity based upon the theoretical principals that govern passive transport. The 'rule of 5' and the 'rule of unity' are compared using experimentally determined passive human intestinal absorption data for 155 drugs. Absorption values which are >50% of the dose are classified as well absorbed and absorption values which are </=50% of the dose are classified as classified as poorly absorbed. Comparison of the two models using a receiver operating characteristic (ROC) plot and McNemar's test reveal striking differences in absorption predictability. The 'rule of 5' gives twice as many false predictions than the 'rule of unity.'