MyDiaText™: Feasibililty and Functionality of a Text Messaging System for Youth With Type 1 Diabetes.

PURPOSE: The purpose of this study was to determine the feasibility and functionality of MyDiaText™, a website and text messaging platform created to support behavior change in adolescents with type 1 diabetes (T1DM) and to evaluate user satisfaction of the application. METHODS: This study was a nonrandomized, prospective, pilot trial to test the feasibility and user interface with MyDiaText, a text message system for 10- to 17-year-old youths with newly diagnosed T1DM. Feasibility was evaluated by assessing for the user's ability to create a profile on the website. Functionality was defined by assessing whether a subject responded to at least 2 text messages per week and by their accumulating points on the website. User satisfaction of the text messaging system was assessed using an electronic survey. The 4 phases of this study were community engagement-advisory sessions, screening and enrollment, intervention, and follow-up. RESULTS: Twenty subjects (14 male, 6 female) were enrolled. All subjects were able to create a profile, and of these, 86% responded to at least 2 text messages per week. A survey administered during follow-up showed that users enjoyed reading text messages, found them useful, and thought the frequency of messages was appropriate. CONCLUSION: MyDiaText is a feasible, functional behavioral support tool for youth with T1DM. Users of the application reported high satisfaction with text messages and the reward system.

Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework.

The translation of personal genomics to precision medicine depends on the accurate interpretation of the multitude of genetic variants observed for each individual. However, even when genetic variants are predicted to modify a protein, their functional implications may be unclear. Many diseases are caused by genetic variants affecting important protein features, such as enzyme active sites or interaction interfaces. The scientific community has catalogued millions of genetic variants in genomic databases and thousands of protein structures in the Protein Data Bank. Mapping mutations onto three-dimensional (3D) structures enables atomic-level analyses of protein positions that may be important for the stability or formation of interactions; these may explain the effect of mutations and in some cases even open a path for targeted drug development. To accelerate progress in the integration of these data types, we held a two-day Gene Variation to 3D (GVto3D) workshop to report on the latest advances and to discuss unmet needs. The overarching goal of the workshop was to address the question: what can be done together as a community to advance the integration of genetic variants and 3D protein structures that could not be done by a single investigator or laboratory? Here we describe the workshop outcomes, review the state of the field, and propose the development of a framework with which to promote progress in this arena. The framework will include a set of standard formats, common ontologies, a common application programming interface to enable interoperation of the resources, and a Tool Registry to make it easy to find and apply the tools to specific analysis problems. Interoperability will enable integration of diverse data sources and tools and collaborative development of variant effect prediction methods.

The Experience of Siblings of Children With Type 1 Diabetes.

Siblings of patients with diabetes mellitus have a unique experience that demands attention from health care providers. The purpose of this article is to explore the sibling experience, identify common fears, and provide the clinician with practical guidance on family-centered care for diabetes management. A comprehensive understanding of factors surrounding sibling adjustment is vital to ensure the best possible outcomes for children and families affected by diabetes.

Telemedicine for adolescents with type 1 diabetes.

Diabetes is the third most common chronic disease in the pediatric population and diabetes management in adolescents presents a unique challenge for health care providers. The purpose of this article is to define telemedicine, review a variety of telemedicine intervention studies in the adolescent population, and interpret those results in the context of the current health care climate. Clinicians and researchers will be provided with education related to adolescent needs and telemedicine interventions so that telemedicine can be used effectively to promote the health of adolescents with diabetes. Because telemedicine has yet to demonstrate consistent and significant positive outcomes in this population, further research and continued development of technology are essential to improve diabetes control in adolescents and prevent the long-term complications of this disease.

Occurrence of herbicides and pharmaceutical and personal care products in surface water and groundwater around Liberty Bay, Puget Sound, Washington.

Organic contaminants, such as pharmaceuticals and personal care products (PPCPs), pose a risk to water quality and the health of ecosystems. This study was designed to determine if a coastal community lacking point sources, such as waste water treatment plant effluent, could release PPCPs, herbicides, and plasticizers at detectable levels to their surface water and groundwater. Research was conducted in Liberty Bay, an embayment within Puget Sound, where 70% of the population (-10,000) uses septic systems. Sampling included collection of groundwater and surface water with grab samples and the use of polar organic chemical integrative samplers (POCIS). We analyzed for a broad spectrum of 25 commonly used compounds, including PPCPs, herbicides, and a flame retardant. Twelve contaminants were detected at least once; only N,N-diethyl-meta-toluamide, caffeine, and mecoprop, a herbicide not attributed to septic systems, were detected in more than one grab sample. The use of POCIS was essential because contaminants were present at very low levels (nanograms), which is common for PPCPs in general, but particularly so in such a small community. The use of POCIS allowed the detection of five compounds that were not present in grab samples. Data suggest that the community is contaminating local water with PPCPs; this effect is likely to increase as the population and product usage increase. The results presented here are a first step toward assessing the transport of herbicides and PPCPs into this coastal system.

Genome-wide atlas of gene expression in the adult mouse brain.

Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive digital atlas containing the expression patterns of approximately 20,000 genes in the adult mouse brain. Data were generated using automated high-throughput procedures for in situ hybridization and data acquisition, and are publicly accessible online. Newly developed image-based informatics tools allow global genome-scale structural analysis and cross-correlation, as well as identification of regionally enriched genes. Unbiased fine-resolution analysis has identified highly specific cellular markers as well as extensive evidence of cellular heterogeneity not evident in classical neuroanatomical atlases. This highly standardized atlas provides an open, primary data resource for a wide variety of further studies concerning brain organization and function.