An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study

Aims/hypothesis: People with type 2 diabetes are heterogeneous in their disease trajectory, with some progressing more quickly to insulin initiation than others. Although classical biomarkers such as age, HbA_1c and diabetes duration are associated with glycaemic progression, it is unclear how well such variables predict insulin...

Finding Biomarkers for Type 2 Diabetes

Type 2 Diabetes is a very prevalent disease in current times and leads to significant adverse effects. Recently, there has been a growing interest in the association of the human gut microbiome with respect to chronic diseases like Type 2 Diabetes with the aim to identify biomarkers. In this study, we researched the effect of different machine...

Influencing the Insulin System by Placebo Effects in Patients with Diabetes Type 2 and Healthy Controls: A Randomized Controlled Trial

Objective The objective of this study was to investigate whether placebo effect induced by pharmacological conditioning with intranasal insulin can affect glucose, insulin, C-peptide, hunger, and memory in patients with diabetes type 2 and healthy controls. Methods Placebo effect was induced by pharmacological conditioning. Thirty-two older...

Effectiveness of Human-Supported and Self-Help eHealth Lifestyle Interventions for Patients With Cardiometabolic Risk Factors:: A Meta-Analysis

Objective eHealth is a useful tool to deliver lifestyle interventions for patients with cardiometabolic diseases. However, there are inconsistent findings about whether these eHealth interventions should be supported by a human professional, or whether self-help interventions are equally effective. Methods Databases were searched between...

Implicit gender bias in the diagnosis and treatment of type 2 diabetes: A randomized online study

Aims: Implicit gender biases (IGBs) are unconscious evaluations about a person based on gender. IGBs of healthcare providers may affect medical decision making. This study investigated whether IGBs and genders of patients and general practitioners (GPs) influence diagnostics and treatment decisions in the context of diabetes type 2. Methods:...

E-health relationships diabetes: 50 weeks evaluation

Hybrid e-health support was given to 11 insulin-dependent type 2 diabetes mellitus (DM2) patients, with electronic support plus a multi-disciplinary health support team. Challenges were low ICT and health literacy. After 50 weeks, attractiveness and feasibility of the intervention were perceived as high: recommendation 9.5 out of 10 and...

Single-cell transcriptomics links loss of human pancreatic β-cell identity to er stress

The maintenance of pancreatic islet architecture is crucial for proper β-cell function. We previously reported that disruption of human islet integrity could result in altered β-cell identity. Here we combine β-cell lineage tracing and single-cell transcriptomics to investigate the mechanisms underlying this process in primary human islet...

Tailored self-management support for people with type 2 diabetes: Type 2 diabetes in daily life

The aim of this graduation project was to design a tool that supports type 2 diabetes patients in self-management. Self-management is managing type 2 diabetes in daily life. In order to design a suitable solution, the first step was to get a deeper understanding of the needs and preferences of these patients. Literature was analysed and field...