The effect of composition and gastric conditions on the self-emulsification process of ibuprofen-loaded self-emulsifying drug delivery systems: A microscopic and dynamic gastric model study

Purpose: To investigate the physical processes involved in the emulsification of self-emulsifying drug delivery systems (SEDDSs) and the use of the Dynamic Gastric Model (DGM) as a characterisation tool. Methods: SEDDSs based on soybean oil, Tween 80, Span 80 and ibuprofen were prepared and their equilibrium phase diagrams established. The emulsification behaviour in a range of media was studied using polarised light microscopy and particle sizing. The behaviour of the SEDDSs in the DGM and conventional testing equipment was assessed. Results: A range of liquid crystalline mesophases was observed, enhanced in the presence of the drug. Polarised light microscopy showed different emulsification processes in the presence and absence of the drug, which was also manifest in different droplet sizes. The droplet size distribution varied between the DGM and the USP II dissolution apparatus. Conclusions: The model SEDDS displays complex liquid crystalline behaviour which may be intimately involved in the emulsification process, which in turn may alter particle size on emulsification, although there remains a question as to the in vivo significance of this effect. Furthermore, we demonstrate that the DGM represents a very promising new method of assessing the biological fate of SEDDSs

Data from: Ecological disturbance influences adaptive divergence despite high gene flow in golden perch (Macquaria ambigua): implications for management and resilience to climate change

Populations that are adaptively divergent but maintain high gene flow may have greater resilience to environmental change as gene flow allows the spread of alleles that have already been tested elsewhere. In addition, populations naturally subjected to ecological disturbance may already hold resilience to future environmental change. Confirming this necessitates ecological genomic studies of high dispersal, generalist species. Here we perform one such study on golden perch (Macquaria ambigua) in the Murray-Darling Basin (MDB), Australia using a genome-wide SNP dataset. The MDB spans across arid to wet and temperate to sub-tropical environments, with low to high ecological disturbance in the form of low to high hydrological variability. We found high gene flow across the basin and three populations with low neutral differentiation. Genotype-environment association analyses detected adaptive divergence predominantly linked to an arid region with highly variable riverine flow, and candidate loci included functions related to fat storage, stress and molecular or tissue repair. The high connectivity of golden perch in the MDB will likely allow locally adaptive traits in its most arid and hydrologically variable environment to spread and be selected in localities that are predicted to become arid and hydrologically variable in future climates. High connectivity in golden perch is likely due to their generalist life history and efforts of fisheries management. Our study adds to growing evidence of adaptation in the face of gene flow, and highlights the importance of considering ecological disturbance and adaptive divergence in biodiversity management