Diabetes

Building and analysis of protein-protein interactions related to diabetes mellitus using support vector machine, biomedical text mining and network analysis.

In order to understand the molecular mechanism underlying any disease, knowledge about the interacting proteins in the disease pathway is essential. The number of revealed protein-protein interactions (PPI) is still very limited compared to the available protein sequences of different organisms. Experiment based high-throughput technologies though provide some data about these interactions, those ...

Differential association of plasma monocyte chemoattractant protein-1 with systemic inflammatory and airway remodeling biomarkers in type-2 diabetic patients with and without asthma.

BACKGROUND: Chronic inflammation is a hallmark of type-2 diabetes (T2D) and asthma. Monocyte chemoattractant protein (MCP)-1 or CCL-2 is a key regulator of monocytic infiltration into the sites of inflammation. The changes in systemic MCP-1 levels and its relationship with other inflammatory/immune markers in T2D patients with asthma remain unclear and have been addressed in this study.

Lower prevalence of proliferative diabetic retinopathy in elderly onset patients with diabetes.

AIMS: To assess diabetic retinopathy (DR) prevalence between elderly onset and younger onset diabetes with similar diabetes duration and evaluate the ...

Adaptations to excess choline in insulin resistant and Pcyt2 deficient skeletal muscle.

It was hypothesized that choline supplementation in insulin resistant (IR) CTP:phosphoethanolamine cytidylyltransferase deficient (Pcyt2) mice would a...

Combined thioflavin T-Congo red fluorescence assay for amyloid fibril detection.

Fluorescence represents one of the most powerful tools for the detection and structural characterization of the pathogenic protein aggregates, amyloid...

Impact of FGF23 level on calcium and phosphorus levels in post-renal transplantation.

The level of fibroblast growth factor 23 (FGF23) may be considered as a prognostic factor for assessing renal function in regulating components of ph...

Temporal changes in plasma markers of oxidative stress following laparoscopic sleeve gastrectomy in subjects with impaired glucose regulation.

BACKGROUND: Laparoscopic sleeve gastrectomy (LSG) is an effective treatment for obesity and associated metabolic complications. Obesity and type 2 dia...

Anti-inflammatory and anti-insulin resistance activities of aqueous extract from .

This study investigated biological activities including antioxidative stress, anti-inflammation, and anti-insulin resistance of aqueous extract (ABE)...

inhibits the absorption and synthesis of cholesterol .

BACKGROUND: (SN) has many nutritional benefits and it is commonly used to ameliorate different human conditions including inflammation, gastric ulcer...

Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm.

Diabetic retinopathy (DR) is a progressive disease, and its detection at an early stage is crucial for saving a patient's vision. An automated screeni...

Acceptability of Robot Assistant in Management of Type 1 Diabetes in Children.

BACKGROUND: To find out whether children with type 1 diabetes accept a humanoid robot as an assistant in their diabetes management. In particular, the...

Diet-induced weight loss and markers of endothelial dysfunction and inflammation in treated patients with type 2 diabetes.

BACKGROUND & AIMS: Overweight and obesity increase cardiovascular mortality in patients with type 2 diabetes (T2D). In a recent trial, however, diet-i...

Estimation of umbilical cord blood leptin and insulin based on anthropometric data by means of artificial neural network approach: identifying key maternal and neonatal factors.

BACKGROUND: Leptin and insulin levels are key factors regulating fetal and neonatal energy homeostasis, development and growth. Both biomarkers are us...

Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes.

Although reinforcement learning (RL) is suitable for highly uncertain systems, the applicability of this class of algorithms to medical treatment may ...

Confirming an integrated pathology of diabetes and its complications by molecular biomarker-target network analysis.

Despite ongoing research into diabetes and its complications, the underlying molecular associations remain to be elucidated. The systematic identifica...

Automated analysis of retinal imaging using machine learning techniques for computer vision.

There are almost two million people in the United Kingdom living with sight loss, including around 360,000 people who are registered as blind or parti...

Effects of Fish Oil Supplementation on Gestational Diabetes Mellitus (GDM): A Systematic Review.

CONTEXT: One of the most common complications of pregnancy is gestational diabetes mellitus (GDM), which is increasing worldwide. Experimental and epi...

Machine Learning Techniques in Clinical Vision Sciences.

This review presents and discusses the contribution of machine learning techniques for diagnosis and disease monitoring in the context of clinical vis...

Diagnosis of Diabetes Mellitus by Extraction of Morphological Features of Red Blood Cells Using an Artificial Neural Network.

Diabetes mellitus is a metabolic disorder characterized by varying hyperglycemias either due to insufficient secretion of insulin by the pancreas or ...

Effect of cranberry () oligosaccharides on the formation of advanced glycation end-products.

The formation and accumulation of advanced glycation end-products (AGEs) are implicated in several chronic human illnesses including type-2 diabetes,...