Impact of Type 1 Diabetes Technology on Family Members/Significant Others of People With Diabetes.

Background: The aim was to explore the impact of diabetes-related technology to ensure that such devices are used in a way that returns maximum benefit from a medical and psychological perspective.

Method: Spouses and caregivers of people with type 1 diabetes were invited to complete an online questionnaire about their experiences with diabetes technologies used by their family members. Participants were recruited via the Glu online community website.

Impact of Chronic Sleep Disturbance for People Living With T1 Diabetes.

Aim: The aim was to explore personal experiences and to determine the impact of impaired sleep on well-being and diabetes-related activities/decision making among a cohort of people living with T1D.

Method: Adults with T1D over the age of 18 and parents/carers of children with T1D were invited to complete an online questionnaire about their quality and quantity of sleep. Questions included impact of sleep on diabetes-related decision making, effective calculation of bolus doses, important aspects of psychosocial functioning, and frequency of waking.

Genetic steps to organ laterality in zebrafish.

All internal organs are asymmetric along the left-right axis. Here we report a genetic screen to discover mutations which perturb organ laterality. Our particular focus is upon whether, and how, organs are linked to each other as they achieve their laterally asymmetric positions.

Zebrafish angiogenesis: a new model for drug screening.

Angiogenesis is necessary for tumor growth, making inhibition of vessel formation an excellent target for cancer therapy. Current assays for angiogenesis, however, are too complex to be practical for drug screening. Here, we demonstrate that the zebrafish is a viable whole animal model for screening small molecules that affect blood vessel formation.

Systematic discovery of multicomponent therapeutics.

Multicomponent therapies, originating through deliberate mixing of drugs in a clinical setting, through happenstance, and through rational design, have a successful history in a number of areas of medicine, including cancer, infectious diseases, and CNS disorders. We have developed a high-throughput screening method for identifying effective combinations of therapeutic compounds. We report here that systematic screening of combinations of small molecules reveals unexpected interactions between compounds, presumably due to interactions between the pathways on which they act.