Phospholipidosis effect of drugs by adsorption into lipid monolayers

Construction of Discrimination Models of Cationic Drugs for Phospholipidosis Induction Potential by Using Interaction Data with Immobilized Artificial Membrane as Well as Physicochemical Properties

Accurate prediction of the phospholipidosis-induction risk of drugs at early stages is important in drug development. So far, discrimination models for predicting the induction risk of cationic drugs have been proposed, but it is still challenging to accurately predict the risk of cationic drugs with intermediate hydrophobicity (logP). In this study, we introduced a parameter (Δlogk40) reflecting not only hydrophobic interaction but also interactions with the polar headgroup between cationic drugs and phospholipids, obtained with liquid chromatography using an immobilized artificial membrane column. The parameter was used along with other physicochemical properties as features to construct discrimination models. Linear discriminant analysis, the modified Mahalanobis discriminant analysis, support vector machine, and random forest were employed for model construction. The results showed that all discrimination models exhibited good predictive performance, with the modified Mahalanobis discriminant analysis and random forest providing the best results for cationic drugs, suggesting that the usefulness of the parameter reflecting complex interactions between cationic drugs and immobilized artificial membrane for constructing discrimination models to predict the induction risk. Furthermore, by applying the parameter as a feature in constructing discrimination models, we demonstrated an improvement in the predictive performance for drugs with intermediate hydrophobicity.

The lung surfactant activity probed with molecular dynamics simulations

The surface of pulmonary alveolar subphase is covered with a mixture of lipids and proteins. This lung surfactant plays a crucial role in lung functioning. It shows a complex phase behavior which can be altered by the interaction with third molecules such as drugs or pollutants. For studying multicomponent biological systems, it is of interest to couple experimental approach with computational modelling yielding atomic-scale information. Simple two, three, or four-component model systems showed to be useful for getting more insight in the interaction between lipids, lipids and proteins or lipids and proteins with drugs and impurities. These systems were studied theoretically using molecular dynamic simulations and experimentally by means of the Langmuir technique. A better understanding of the structure and behavior of lung surfactants obtained from this research is relevant for developing new synthetic surfactants for efficient therapies, and may contribute to public health protection.

Lung surfactant monolayer - A good natural barrier against dibenzo-p-dioxins

The present study deals with interaction of two air pollutants: dibenzodioxin, DD, and its' monochlorinated derivative, 2-chlorodibenzodioxin, 2CLDD, with models of the lung surfactant (LS) system. A monolayer composed of DPPC and POPC in 1:1 molar ratio was used as a model of LS. One component monolayers of DPPC and POPC were also examined, to model the interiors of LC and LE domains in LS, respectively. Molecular dynamics simulations and measurements of surface pressure isotherms, as well as polarization modulation-infrared reflection-absorption spectra were employed to study the influence of dioxins on the monolayers. We demonstrate, that both dioxins adsorb and accumulate in the hydrophobic parts of all three monolayers. DD molecules prefer flat orientation on the surface at large areas. Upon compression, they lift and orient perpendicularly to the monolayer. Flat orientation of DD molecules leads to their large surface area. In consequence they preferentially locate in vicinity of unsaturated chains of POPC - they are small enough to fill void spaces created by kinks in unsaturated chains. 2CLDD orient along monolayer normal already at the largest areas and preference for POPC was not observed for them. In laterally relaxed states, a condensing effect, connected with reduction of surface area available to the lipids was observed for both dioxins. In the case of 2CLDD, additional locally ordering influence of dioxin molecules was detected. In compressed states, the presence of dioxin molecules hinders alignment and uniform ordering of lipid chains.

Differences in Interactions of Benzoic Acid and Benzoate with Interfaces

The interaction of benzoic acid and benzoate with model membrane systems was characterized to understand the molecular interactions of the two forms of a simple aromatic acid with the components of the membrane. The microemulsion system based on bis(2-ethylhexyl)sulfosuccinate (AOT) allowed determination of the molecular positioning using 1D NMR and 2D NMR spectroscopic methods. Benzoic acid and benzoate were both found to penetrate the membrane/water interfaces; however, the benzoic acid was able to penetrate much deeper and thus is more readily able to traverse a membrane. The Langmuir monolayer model system, using dipalmitoylphosphatidylcholine, was used as a generic membrane lipid for a cell. Compression isotherms of monolayers demonstrated a pH dependent interaction with a lipid monolayer and confirming the pH dependent observations shown in the reverse micellar model system. These studies provide an explanation for the antimicrobial activity of benzoic acid while benzoate is inactive. Furthermore, these studies form the framework upon which we are investigating the mode of bacterial uptake of pyrazinoic acid, the active form of pyrazinamide, a front line drug used to combat tuberculosis.

Synthesis of a selective HDAC6 inhibitor active in neuroblasts

In recent years, the role of HDAC6 in neurodegeneration has been partially elucidated, which led some authors to propose HDAC6 inhibitors as a therapeutic strategy to treat neurodegenerative diseases. In an effort to develop a selective HDAC6 inhibitor which can cross the blood brain barrier (BBB), a modified hydroxamate derivative (compound 3) was designed and synthetized. This compound was predicted to have potential for BBB penetration based on in silico and in vitro evaluation of passive permeability. When tested for its HDAC inhibitory activity, the IC₅₀ value of compound 3 towards HDAC6 was in the nM range in both enzymatic and cell-based assays. Compound 3 showed a cell-based selectivity profile close to that of tubastatin A in SH-SY5Y human neuroblastoma cells, and a good BBB permeability profile.