Browsing by Subject "Type 2 diabetes"
Now showing items 1-20 of 24
-
Advancing the communication of genetic risk for cardiometabolic diseases: a critical interpretive synthesis.
(2023-11-13)BACKGROUND: Genetics play an important role in risk for cardiometabolic diseases-including type 2 diabetes, cardiovascular disease and obesity. Existing research has explored the clinical utility of genetic risk tools such ... -
Areca catechu-(Betel-nut)-induced whole transcriptome changes in a human monocyte cell line that may have relevance to diabetes and obesity; a pilot study.
(2021-08-14)BACKGROUND: Betel-nut consumption is the fourth most common addictive habit globally and there is good evidence linking the habit to obesity, type 2 diabetes (T2D) and the metabolic syndrome. The aim of our pilot study was ... -
Daytime napping, sleep duration and increased 8-year risk of type 2 diabetes in a British population.
(2016-11)BACKGROUND AND AIMS: Few studies have prospectively examined the relationship between daytime napping and risk of type 2 diabetes. We aimed to study the effects of daytime napping and the joint effects of napping and sleep ... -
Designing a lifestyle intervention to reduce risk of type 2 diabetes in postpartum mothers following gestational diabetes: An online survey with mothers and health professionals.
(2018-01)OBJECTIVE: The aim of this study was to identify what components of a postpartum lifestyle intervention would engage postpartum mothers who had a diagnosis of gestational diabetes. STUDY DESIGN: Two online surveys were ... -
Efficient Multi-Hop Communications for Software-Defined Wireless Networks
(Queen Mary University of London, 09/01/2019)Software-Defined Networking (SDN) recently emerged to overcome the difficulty of network control by decoupling the control plane from the data plane. In terms of the wireless medium and mobile devices, although new challenges ... -
An integrated epigenomic analysis for type 2 diabetes susceptibility loci in monozygotic twins
(Nature Research (part of Springer Nature), 2014-12-12)DNA methylation has a great potential for understanding the aetiology of common complex traits such as Type 2 diabetes (T2D). Here we perform genome-wide methylated DNA immunoprecipitation sequencing (MeDIP-seq) in ... -
Multi-omic prediction of incident type 2 diabetes.
(2024-01)AIMS/HYPOTHESIS: The identification of people who are at high risk of developing type 2 diabetes is a key part of population-level prevention strategies. Previous studies have evaluated the predictive utility of omics ...