αα'-trehalose 6,6'-dibehenate in non-phospholipid-based liposomes enables direct interaction with trehalose, offering stability during freeze-drying

Trehalose is a well known protector of biostructures like liposomes and proteins during freeze-drying, but still today there is a big debate regarding its mechanism of action. In previous experiments we have shown that trehalose is able to protect a non-phospholipid-based liposomal adjuvant (designated CAF01) composed of the cationic dimethyldioctadecylammonium (DDA) and trehalose 6,6-dibehenate (TDB) during freeze-drying [D. Christensen, C. Foged, I. Rosenkrands, H.M. Nielsen, P. Andersen, E.M. Agger, Trehalose preserves DDA/TDB liposomes and their adjuvant effect during freeze-drying, Biochim. Biophys. Acta, Biomembr. 1768 (2007) 2120-2129]. Furthermore it was seen that TDB is required for the stabilizing effect of trehalose. Herein, we show using the Langmuir-Blodgett technique that a high concentration of TDB present at the water-lipid interface results in a surface pressure around 67 mN/m as compared to that of pure DDA which is approximately 47 mN/m in the compressed state. This indicates that the attractive forces between the trehalose head group of TDB and water are greater than those between the quaternary ammonium head group of DDA and water. Furthermore, addition of trehalose to a DDA monolayer containing small amounts of TDB also increases the surface pressure, which is not observed in the absence of TDB. This suggests that even small amounts of trehalose groups on TDB present at the water-lipid interface associate free trehalose to the liposome surface, presumably by hydrogen bonding between the trehalose head groups of TDB and the free trehalose molecules. Hence, for CAF01 the TDB component not only stabilizes the cationic liposomes and enhances the immune response but also facilitates the cryo-/lyoprotection by trehalose through direct interaction with the head group of TDB. Furthermore the results indicate that direct interaction with liposome surfaces is necessary for trehalose to enable protection during freeze-drying.

Watermarking of audio signals using independent component analysis

A novel approach to watermarking of audio signals using Independent Component Analysis (ICA) is proposed. It exploits the statistical independence of components obtained by practical ICA algorithms to provide a robust watermarking scheme with high information rate and low distortion. Numerical simulations have been performed on audio signals, showing good robustness of the watermark against common attacks with unnoticeable distortion, even for high information rates. An important aspect of the method is its domain independence: it can be used to hide information in other types of data, with minor technical adaptations.

Potential risk factors for medication non-adherence in patients with chronic obstructive pulmonary disease (COPD)

Aims - To investigate the effect of a range of demographic and psychosocial variables on medication adherence in chronic obstructive pulmonary disease (COPD) patients managed in a secondary care setting. Methods - A total of 173 patients with a confirmed diagnosis of COPD, recruited from an outpatient clinic in Northern Ireland, participated in the study. Data collection was carried out via face-to-face interviews and through review of patients’ medical charts. Social and demographic variables, co-morbidity, self-reported drug adherence (Morisky scale), Hospital Anxiety and Depression (HAD) scale, COPD knowledge, Health Belief Model (HBM) and self-efficacy scales were determined for each patient. Results - Participants were aged 67 ± 9.7 (mean ± SD) years, 56 % female and took a mean (SD) of 8.2 ± 3.4 drugs. Low adherence with medications was present in 29.5 % of the patients. Demographic variables (gender, age, marital status, living arrangements and occupation) were not associated with adherence. A range of clinical and psychosocial variables, on the other hand, were found to be associated with medication adherence, i.e. beliefs regarding medication effectiveness, severity of COPD, smoking status, presence of co-morbid illness, depressed mood, self-efficacy, perceived susceptibility and perceived barriers within the HBM (p < 0.05). Logistic regression analysis showed that perceived ineffectiveness of medication, presence of co-morbid illness, depressed mood and perceived barriers were independently associated with medication non-adherence in the study (P < 0.05). Conclusions - Adherence in COPD patients is influenced more by patients’ perception of their health and medication effectiveness, the presence of depressed mood and co-morbid illness than by demographic factors or disease severity.