Mendelian randomization for studying the effects of perturbing drug targets [version 1; peer review: awaiting peer review]

Drugs whose targets have genetic evidence to support efficacy and safety are more likely to be approved after clinical development. In this paper, we provide an overview of how natural sequence variation in the genes that encode drug targets can be used in Mendelian randomization analyses to offer insight into mechanism-based efficacy and adverse effects. Large databases of summary level genetic association data are increasingly available and can be leveraged to identify and validate variants that serve as proxies for drug target perturbation. As with all empirical research, Mendelian randomization has limitations including genetic confounding, its consideration of lifelong effects, and issues related to heterogeneity across different tissues and populations. When appropriately applied, Mendelian randomization provides a useful empirical framework for using population level data to improve the success rates of the drug development pipeline

Mendelian randomization for studying the effects of perturbing drug targets [version 2; peer review: 3 approved, 1 approved with reservations]

Drugs whose targets have genetic evidence to support efficacy and safety are more likely to be approved after clinical development. In this paper, we provide an overview of how natural sequence variation in the genes that encode drug targets can be used in Mendelian randomization analyses to offer insight into mechanism-based efficacy and adverse effects. Large databases of summary level genetic association data are increasingly available and can be leveraged to identify and validate variants that serve as proxies for drug target perturbation. As with all empirical research, Mendelian randomization has limitations including genetic confounding, its consideration of lifelong effects, and issues related to heterogeneity across different tissues and populations. When appropriately applied, Mendelian randomization provides a useful empirical framework for using population level data to improve the success rates of the drug development pipeline

Identification and quantification of the antimicrobial components of a citrus essential oil vapor

The anti-bacterial components of a citrus essential oil vapor were identified as linalool, citral and beta-pinene using a bioautography method and quantified by GC-MS. Essential oil vapor release, monitored in real-time with Atmospheric Pressure Chemical Ionization - MS (APCI-MS), showed differences in the vapor release profile oflimonene, beta-pinene and linalool over 24 hours, while Solid Phase Micro-extraction (SPME) GC-MS demonstrated changes in composition of the vapor at 35 degrees C. Fourteen isolates were tested in vitro for their susceptibility to the EO vapor and to linalool, citral and beta-pinene vapors, both separately and in a mixture containing the three components in the amounts at which they occur in the EO vapor. All eleven Gram-positive strains tested were susceptible to the EO vapor, linalool, citral and beta-pinene vapors separately and the mixture with zones of inhibition of 4.34 cm, 5.32 cm, 5.58 cm, 4.86 cm and 4.68 cm, respectively. Of the three Gram-negative strains tested, Pseudomonas aeruginosa 10145 was resistant to all the vapors. When bacteria inoculated onto stainless steel surfaces were exposed to either the EO vapor or a linalool/citral/beta-pinene vapor mixture there was no significant difference in reduction for the Gram-positive isolates, while the Gram-negative isolates were resistant to both EO vapor and the linalool/citral/beta-pinene mixture

Gamma-irradiation as a method of microbiological control, and its impact on the oxidative labile lipid component of Cannabis sativa and Helianthus annus

The effect of irradiation (0-20 kGy) on hemp and sunflower seeds was assessed, with specific reference to the oxidatively labile lipid component (unsaturated fatty acids and tocochromanols). Total protein, lipid, and solids content of the seeds did not vary with irradiation dose. Lipid hydroperoxide concentration increased significantly in the sunflower seeds (48 mmol kg -1 lipid) and a significant increase in volatile secondary oxidation products was measured in both seeds (e.g. hexanal, heptanal, 1-penten-3-ol) with increasing irradiation dose. Irradiation at 5 kGy sterilised the seeds of all microbial contamination and irradiation doses of 20 kGy prevented germination. A loss of the antioxidant tocopherol was shown with increasing irradiation doses, although this was selective for specific tocopherol isoforms (α-tocopherol, β-tocopherol and γ-tocopherol)

Novel Foods and Neophobia: Evidence from Greece, Cyprus, and Uganda

The exploitation of agri-food industrial by-products to produce novel foods is a promising strategy in the framework of policies promoting the bioeconomy and circular economy. Within this context, this study aims to examine the effect of food neophobia and food technology neophobia in the acceptance of a novel food by consumers (through an EU research project: Sybawhey). As a case study, a functional yogurt-like product was developed by synergistic processing of halloumi cheese whey, enriched with banana by-products. The present study contributes to the literature by examining consumers’ perceptions for such a novel food, identifying the profile of potential final users and classifying them according to their “neophobic tendency”. A comparative approach among groups from Greece, Cyprus and Uganda was adopted to explore whether respondents have a different attitude towards this novel yogurt. Results suggest that there is a potential for increasing consumption of novel foods derived by agri-food industrial by-products, but more information about the importance of using by-products are required to enhance consumers’ acceptance of this novel food. Such results may be useful to policy makers, aiming to promote strategies towards the effective reuse of food outputs leading to the manufacture of sustainable novel foods

Combined Use of Streaming Potential and UV/Vis to Assess Surface Modification of Fabrics via Soil Release Polymers

Polymers have become a widespread part of laundry detergent formulations because of their benefits which are usually delivered via surface modification of fibers. Therefore, there is a growing interest in understanding their deposition on fabrics. In this work, we have used streaming potential to assess changes in surface charge of polyester and knitted cotton after modification via soil release polymers (SRPs). Results identify a relationship between the measured zeta potential for the modified fabrics and the charge of the polymer. The effects of parameters, such as agitation speed and bulk concentration during deposition, have been investigated. Streaming potential data were then correlated to adsorption isotherms from UV absorbance data, and a Langmuir-Freundlich model was proposed to describe the isotherms for polyester. The stain removal index for some common hydrophobic stains was determined via image analysis. A link between SRP deposition efficiency and their effectiveness on greasy soil removal was observed