Diabetes mellitus type 2 (T2DM) is a chronic and progressive condition, which affects people all around the world. The risk of complications increases with age if the disease is not managed properly. Diabetic neuropathy is caused by excessive blood glucose and lipid levels, resulting in nerve damage. Apelin is a peptide hormone that is found in different human organs, including the central nervous system and adipose tissue. The aim of this study is to estimate Apelin levels in diabetes type 2 and Diabetic peripheral Neuropathy (DPN) Iraqi patients and show the extent of peripheral nerve damage. The current study included 120 participants: 40 patients with Diabetes Mellitus, 40 patients with Diabetic peripheral Neuropathy, and 40 healthy

Diabetes mellitus type 2 (T2DM) is a metabolic disorder that influences above 450 million individuals around the world. Type 2 diabetes is a lack of insulin due to pancreatic β-cell malfunction and insulin resistance. This study aimed to detect insulin resistance using homeostasis model assessment (HOMA IR) and determined the correlation with glutathione-s-transferase (GST) activity in T2DM and neuropathy patients as a predictor of oxidative stress, which occurs when the oxidation-antioxidant equilibrium is disrupted. Reactive oxygen species causes vascular injury and a series of inflammation. In the present study, the results show there is no significant difference in diabetic patients (DM) and neuropathy patients (NU) versus healthy p

Peripheral neuropathy represents one of the common diabetic complications in patients with diabetes mellitus type 2 (DMT2). Peripheral neuropathy affects the feet, legs, hands, and arms. It was found that one-third to one-half of diabetics have peripheral neuropathy. The current study aimed to evaluate the level of visfatin in diabetic patient groups with or without peripheral neuropathy in comparison with healthy subjects to knowledge whether visfatin can be applied as a predictor factor for this type of disease complication. The study included 120 males and females ranging in age from 40 to 97 years old. (40 patients with type 2 diabetes, 40 patients with diabetic peripheral neuropathy, and 40 healthy people served as the control group

Back ground: Two groups of diabetic patients ((the first include 20 patients complaining from diabetes mellitus alone, and the second include patients that
complain from both hypertension and diabetes mellitus)) were included in this study. These patients were chosen((from a large number of patients, with a proved
diagnosis, that are referred to the neurophysiology unit from the department of medicine)) to be of the same age group and gender, so that any of these two factors
can no longer be a source of any possible error in the results.
Patients & methods: The electrophysiological tests that were done to all of our patients include: sensory latency and sensory amplitude for the ulnar and sural
nerv

Abstract

Background: A significant proportion of patients with ischemic heart disease have been associated with peripheral arterial disease, yet it is still underestimated by our health system as many of patients are asymptomatic and this condition remains under diagnosed and therefore undertreated.

Objective: To study prevalence of peripheral arterial disease of the lower limbs in patient with acute coronary syndrome and its association with certain risk factors.

Method: A cross sectional descriptive study was conducted in the coronary care unit at Al-Yarmouk Teaching Hospital from the 1^st of January 2016 to the 1^st of Novem

Background:

Background: Peripheral blood lymphocytes (PBL)of Rheumatoid arthritis (RA)patients have a property of phenotypic and functional activation. Glutathione S- transferase pi (GSTπ) has been implicated in playing an important role in the initiation and progression of cellular activation.
Objectives: To determine the percentage of cellular expression of GSTπ in the lymphocytes of RA patients in comparison with controls and to explore the relation between its cellular expression and disease activity pattern.
Patients and Methods: This prospective study included46 RA patients and 17 healthy controls. Blood samples were taken and from all subjects PBL were isolated and then smeared on slides. The cellular reactivity for GSTπ was determin

Background: Neuropathy stands out as the highest-prevalence diabetes-related complication, impacting no less than 50% of individuals with diabetes throughout their lifespan. As The most common reason for disability due to walking difficulties, foot ulcerations, and limb loss, DPN is worthy of study, and early diagnosis of DPN signs is required.

Objectives: This study aims to aid in the identification of diabetic peripheral neuropathy (DPN) by determining the muscle thickness of the lower extremities in patients with DPN.

Patients and Methods: The study included 24 subjects with diabetic peripheral neuropathy (DPN) and 25 individuals as a co

The current study was designed to compare some of the vital markers in the sera of diabetic and neuropathy patients via estimating Adipsin, Fasting blood Glucose(FBG), Glycated(HbA1c) hemoglobin, Homeostasis Model Assessment Index (Homa IR ), Cholesterol, High density lipoprotein (HDL), Triglycerides (T.G), Low-density, and lipoprotein (LDL), Very Low Density Lipoprotein (VLDL), in sera of Iraqi patients with diabetes and neuropathy. A total  of ninety  subjects  were divided into three groups: group I (30 diabetic with neuropathy males) and group II (30 diabetic males without neuropathy), and 30 healthy sujects were employed as control group. The results showed a significant decline in Adipsin levels (p>0.05) in neuropathy, T2DM g

 Neuroimaging is a description, whether in two-dimensions (2D) or three-dimensions (3D), of the structure and functions of the brain. Neuroimaging provides a valuable diagnostic tool, in which a limited approach is used to create images of the focal sensory system by medicine professionals. For the clinical diagnosis of patients with Alzheimer's Disease (AD) or Mild Cognitive Impairs (MCI), the accurate identification of patients from normal control persons (NCs) is critical. Recently, numerous researches have been undertaken on the identification of AD based on neuroimaging data, including images with radiographs and algorithms for master learning. In the previous decade, these techniques were also used slowly to differentiate AD a