Endocrinology

Resistant starch suppresses postprandial hypertriglyceridemia in rats.

Postprandial increase in blood triglyceride levels is an independent risk factor for coronary artery disease, and dietary resistant starch (RS) is increasingly being considered for its contribution to disease prevention. Specifically, RS has beneficial effects on of the glycemic index, diabetes, cholesterol levels, and weight management. However, the effects of once-daily intake of RS on postprand...

ANN Prediction of Metabolic Syndrome: a Complex Puzzle that will be Completed.

The diagnosis of metabolic syndrome (MetS) has a leading role in the early prevention of chronic disease, such as cardiovascular disease, type 2 diabetes, cancers and chronic kidney disease. It would be very greatful that MetS diagnosis can be predicted in everyday clinical practice. This paper presents artificial neural network (ANN) prediction of the diagnosis of MetS that includes solely non-in...

Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning.

Statistical models to predict incident diabetes are often based on limited variables. Here we pursued two main goals: 1) investigate the relative perf...

Performance Analysis of Fuzzy-PID Controller for Blood Glucose Regulation in Type-1 Diabetic Patients.

This paper presents Fuzzy-PID (FPID) control scheme for a blood glucose control of type 1 diabetic subjects. A new metaheuristic Cuckoo Search Algorit...

Detection of exudates in fundus photographs using deep neural networks and anatomical landmark detection fusion.

BACKGROUND AND OBJECTIVE: Diabetic retinopathy is one of the leading disabling chronic diseases and one of the leading causes of preventable blindness...

Antithyroid drug-associated MPO-ANCA-positive tubulointerstitial nephritis in a type 2 diabetes patient: a case report.

A 54-year-old man diagnosed with type 2 diabetes and hyperthyroidism was prescribed propylthiouracil (PTU) after the patient developed hepatic dysfunc...

A machine learning-based framework to identify type 2 diabetes through electronic health records.

OBJECTIVE: To discover diverse genotype-phenotype associations affiliated with Type 2 Diabetes Mellitus (T2DM) via genome-wide association study (GWAS...

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. T...

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 ...

A pre-trained convolutional neural network based method for thyroid nodule diagnosis.

In ultrasound images, most thyroid nodules are in heterogeneous appearances with various internal components and also have vague boundaries, so it is ...

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...

Adaptive PID control based on orthogonal endocrine neural networks.

A new intelligent hybrid structure used for online tuning of a PID controller is proposed in this paper. The structure is based on two adaptive neural...

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...

Boosting backpropagation algorithm by stimulus-sampling: Application in computer-aided medical diagnosis.

Neural networks (NNs), in general, and multi-layer perceptron (MLP), in particular, represent one of the most efficient classifiers among the machine ...

Neuro-endocrine effects of aqueous extract of (Linn.) leaf in male Wistar rat model of cyclophosphamide-induced reproductive toxicity.

Cyclophosphamide (CP) is a widely used cytotoxic alkylating agent with antitumor and immunosuppressant properties that is associated with various form...

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...