RESUMO
The scientific interest in cannabis plants' beneficial properties has recently sparked certain interest in the possible functional characterization of plant-derived extracellular vesicles (PDEVs). Establishing the most appropriate and efficient isolation procedure for PDEVs remains a challenge due to vast differences in the physio-structural characteristics of different plants within the same genera and species. In this study, we employed a crude but standard isolation procedure for the extraction of apoplastic wash fluid (AWF) which is known to contain the PDEVs. This method includes a detailed stepwise process of PDEV extraction from five (5) cultivars of cannabis plants, namely: Citrus (C), Henola (HA), Bialobrezenski (BZ), Southern-Sunset (SS), and Cat-Daddy (CAD). Approximately, 150 leaves were collected from each plant strain. In order to collect PDEV pellets, apoplastic wash fluid (AWF) was extracted from plants via negative pressure permeabilization and infiltration followed by high-speed differential ultracentrifugation. Particle tracking analysis of PDEVs revealed particle size distribution in the range of 20 to 200 nm from all plant strains, while PDEV total protein concentration from HA was higher than that of SS. Although HA-PDEVs' total protein was higher than SS-PDEVs, SS-PDEVs' RNA yield was higher than that of HA-PDEVs. Our result suggests that the cannabis plant strains contain EVs, and PDEV concentration from the cannabis plant could be age or strain dependent. Overall, the results provide a guide for the selection and optimization of PDEV isolation methods for future studies.
RESUMO
In the 12 months to November 2021, 19 % of the people killed on Australian roads were aged between 17 and 25 years, despite this age group making up just 12 % of the driving population. A substantial number of these crashes resulted from smartphone use. It is widely accepted that norms influence young drivers' smartphone use; however, there is a dearth of research investigating how different norms interact to influence this behaviour. The current survey study (N = 137) applied an extended Theory of Normative Social Behaviour (TNSB) to investigate illegal smartphone use among young drivers. The original TNSB model proposes that injunctive norm (i.e., perceived societal approval), outcome expectancies, and group identity each moderate the relationship between descriptive norm and behavioural intention. The current study added subjective norm (i.e., perceived approval from important others) to the model. Moderation analyses found that only subjective norm moderated the relationship between descriptive norm and behavioural intention, whereas subjective norm, injunctive norm, and outcome expectancies each partially mediated this relationship. These findings provided partial support for the TNSB. They highlighted the influence of a range of norms on young drivers' smartphone use (i.e., descriptive norm, subjective norm, and injunctive norm) and, in particular, the influence of subjective norm in this context. It also highlights the importance of investigating how norms interact with each other to influence the relationship between descriptive norm and behavioural intention. In accordance with these findings, future public education messages should challenge normative influences, and subjective norm in particular, on young drivers' smartphone use.
