While there have been a number of developments over the past 3 years and indeed over the last 10 years, challenges and limitations still exist, which, unless overcome, will prevent zebrafish from truly reaching their full potential as a drug toxicological model. That being said, recent developments have suggested that zebrafish could play a role in bridging the gap between in vitro cell-based models and in vivo mammalian models.

The zebrafish model has been increasingly explored as an alternative model for toxicity screening of pharmaceutical drugs. However, little is understood about the bioactivation of drug to reactive metabolite and phase I and II metabolism of chemical in zebrafish as compared with human. The primary aim of our study was to establish the bioactivation potential of zebrafish using acetaminophen as a probe substrate. Our secondary aim was to perform metabolite profiling experiments on testosterone, a CYP3A probe substrate, in zebrafish and compare the metabolite profiles with that of human. The glutathione trapping assay of N-acetyl-p-benzoquinone imine demonstrated that zebrafish generates the same reactive metabolite as humans from the bioactivation of acetaminophen. Zebrafish possesses functional CYP3A4/5-like and UDP-glucuronosyltransferase metabolic activities on testosterone. Differential testosterone metabolism was observed among the two species. In silico docking studies suggested that the zebrafish CYP3A65 was responsible for the bioactivation of acetaminophen and phase I hydroxylation of testosterone. Our findings reinforce the need to further characterize the drug metabolism phenotype of zebrafish before the model can fully achieve its potential as an alternative toxicity screening model in drug research.

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Background: Smartphone-mediated mobile health (mHealth) may assist patients with medication adherence, and disease monitoring. This study aimed to describe awareness and usage of, and attitudes towards, mHealth among the public in Singapore who own a smartphone. It also aimed to identify factors that influenced the above in the study population. Methods: An online cross-sectional survey was administered via convenience sampling in November 2017. Participants were included if they were at least 18 years old and owned a smartphone. No identifiable data was collected. Responses were summarized using descriptive statistics. Multiple logistic regression analysis was used to identify factors associated with awareness and usage of, and attitudes towards, mHealth. Results: Participants (n=199) were mostly of Chinese ethnicity (84.4%), female (64.8%), young (mean age 33.7 years), and generally healthy (86.9% reported no chronic medical conditions). On average, participants were aware of 4.4 out of 7 mHealth functions and used 2.2 functions. Managing appointments, and fitness/ diet tracking were the most well-known (93.5% and 82.4% respectively), and widely used (80.6% and 59.8% respectively) functions. A simple interface, data security, and being free to use, were rated as the most important factors influencing participants' willingness to use mHealth. Most (64.3%) participants were keen to learn to use mHealth in future, 49.7% believed mHealth could help improve their health, but only 13.1% were willing to pay for it. Being employed (OR 3.71) was associated with higher mHealth usage, adjusted for baseline smartphone usage. Participants living in non-subsidized housing were more keen to try (OR 3.18), and willing to pay (OR 3.36) for mHealth. Conclusions: Participants generally held positive attitudes towards mHealth, although usage was low. Lack of willingness to pay, and socioeconomic factors, are potential barriers to the widespread adoption of mHealth. Future research specifically involving patients is needed.

Background: Smartphone-mediated mobile health (mHealth) has the potential to assist patients with medication adherence and disease monitoring. This study aimed to describe the awareness and usage of, and attitudes towards, mHealth among smartphone-owning patients in a tertiary hospital in Singapore.Methods: A self-administered cross-sectional survey was systematically offered to patients at the Singapore General Hospital from August to September 2018. Participants were included if they were at least 18 years old, owned a smartphone, and could speak and read simple English. No identifiable data was collected.Responses were summarized using descriptive statistics. Multiple logistic regression analysis was used to identify factors associated with awareness and usage of, and attitudes towards, mHealth.Results: Four-hundred and two eligible responses were received, with most participants reporting having completed tertiary education (63.7%) and having chronic medical conditions (71.1%), with a mean age of about 43 years. On average, participants were aware of 3.7 out of 7 mHealth functions and used 1.9 functions. Most patients were aware that smartphones could be used for general health/fitness tracking, obtaining health information, and appointment management. Most (76.3%) participants were keen to learn to use mHealth in future, and 63.2% agreed that mHealth could help them better manage their health.Conclusions: Although mHealth usage among patients was low, most patients held positive attitudes towards mHealth. For mHealth to fulfill its potential, strategies to improve the awareness and usage among patients need to be explored.