New strategy to overcome the intrinsic difficulty of phospholipids solubilisation and delivery to the eye

Purpose: Lipids play a vital role at interfaces such as the tear film in the protection of the anterior eye. Their role is to act as lubricants and reduce surface and interfacial tension. Although there is a lack of appropriate methods to solubilize and dilute phospholipids to the tear film. Here, we report that styrene-maleic acid copolymers (PSMA), can form polymer–lipid complexes in the form of monodisperse nanometric particles, which can easily solubilise these phospholipid molecules by avoiding for example, the use of any kind of surfactant. Method: The interactions of PSMA with phospholipids have been studied by its adsorption from aqueous solutions into monolayers of dimyristoyl-phosphorylcholine (DMPC). The Langmuir trough (LT) technique is used to study this pH-dependant complex formation. The formed nanoparticles have been also analysed by 31P NMR, particle size distribution by light scattering (DLS) and morphology by electron microscopy (SEM). Results: The LT has been found to be a useful technique for in vitro simulation of in vivo lipid layer behaviour: The limiting surface pressure of unstable tear films ranges between 20 and 30 mN/m. More stable tear films show an increase in surface pressure, within the range of 35–45 mN/m. The DMPC monolayers have a limiting surface pressure of 38 mN/m (water), and 45 mN/m (pH 4 buffer), and the PSMA-DMPC complexes formed at pH 4 have a value of 42 mN/m, which resembles that of the stable tear film. The average particle size distribution is 53 ± 10 nm with a low polydispersity index (PDI) of 0.24 ± 0.03. Conclusions: New biocompatible and cheap lipid solubilising agents such as PSMA can be used for the study of the tear film composition and properties. These polymer–lipid complexes in the form of nanoparticles can be used to solubilise and release in a controlled way other hydrophobic molecules such as some drugs or proteins.

Facial affect processing inbipolar disorder:a magnetoencephalography study

Background: Identifying biological markers to aid diagnosis of bipolar disorder (BD) is critically important. To be considered a possible biological marker, neural patterns in BD should be discriminant from those in healthy individuals (HI). We examined patterns of neuromagnetic responses revealed by magnetoencephalography (MEG) during implicit emotion-processing using emotional (happy, fearful, sad) and neutral facial expressions, in sixteen BD and sixteen age- and gender-matched healthy individuals. Methods: Neuromagnetic data were recorded using a 306-channel whole-head MEG ELEKTA Neuromag System, and preprocessed using Signal Space Separation as implemented in MaxFilter (ELEKTA). Custom Matlab programs removed EOG and ECG signals from filtered MEG data, and computed means of epoched data (0-250ms, 250-500ms, 500-750ms). A generalized linear model with three factors (individual, emotion intensity and time) compared BD and HI. A principal component analysis of normalized mean channel data in selected brain regions identified principal components that explained 95% of data variation. These components were used in a quadratic support vector machine (SVM) pattern classifier. SVM classifier performance was assessed using the leave-one-out approach. Results: BD and HI showed significantly different patterns of activation for 0-250ms within both left occipital and temporal regions, specifically for neutral facial expressions. PCA analysis revealed significant differences between BD and HI for mild fearful, happy, and sad facial expressions within 250-500ms. SVM quadratic classifier showed greatest accuracy (84%) and sensitivity (92%) for neutral faces, in left occipital regions within 500-750ms. Conclusions: MEG responses may be used in the search for disease specific neural markers.