Search
Showing results for "1"
We examined the hypothesis that elevation in urinary (ACR) in adolescents with type 1 diabetes is associated with RVG phenotypes.
This publication compares reaction profiles from food challenges and parent-reported reactions on accidental ingestion, and assess predictors of severe reactions.
Lung function measures in a health, unsedated 1- and 2-year-old children in a South African birth cohort study
Fel d 7 is a common allergen in a Swedish cat-sensitized population that cross-reacts with Can f 1
Adolescents and young adults with type 1 diabetes have an increased risk of psychological distress. To address this, psychological support provided asynchronously via an app may be feasible. Our study aimed to explore feasibility and safety of the LIFT wellbeing app.
Technology use, including continuous glucose monitoring (CGM) and insulin pump therapy, is associated with improved outcomes in youth with type 1 diabetes (T1D). In 2017 CGM was universally funded for youth with T1D in Australia. In contrast, pump access is primarily accessed through private health insurance, self-funding or philanthropy.
Autoantibodies to pancreatic islet antigens identify young children at high risk of type 1 diabetes. On a background of genetic susceptibility, islet autoimmunity is thought to be driven by environmental factors, of which enteric viruses are prime candidates.
Here, we present the complete genome sequence of Pseudomonas aeruginosa phages Kara-mokiny 1, Kara-mokiny 2, and Kara-mokiny 3. These phages have lytic capabilities against P. aeruginosa and belong to the myovirus morphotype. The genomes of Kara-mokiny 1 and Kara-mokiny 2 are 67,075 bp while that of Kara-mokiny 3 is 66,019 bp long.
We present WALLABY pilot data release 1, the first public release of H i pilot survey data from the Wide-field ASKAP L-band Legacy All-sky Blind Survey (WALLABY) on the Australian Square Kilometre Array Pathfinder.
Genome-wide association studies (GWAS) have enabled the discovery of single nucleotide polymorphisms (SNPs) that are significantly associated with many autoimmune diseases including type 1 diabetes (T1D). However, many of the identified variants lie in non-coding regions, limiting the identification of mechanisms that contribute to autoimmune disease progression.