Background: Different populations show various human leukocyte antigens (HLA). Data of HLA distribution is important in field of vaccines, therapy, Anthropology and for future studies of disease association with HLA.
Objective: To highlight on frequency of HLA alleles in Iraqi population by using molecular technique.
Patients and methods: Two hundred individuals were genotyped for HLA class I and II alleles by polymerase chain reaction sequence-specific oligonucleotides (PCR-SSO).
Results: This study observed that the alleles with highest frequency were: [A*02(27.75%,A*01(10.75%,A*03(8%),B*51(17.75%),B*35(9%),B*07(6%),C*04(26.75%),C*07(20.25%),C6*0(9.75%),DRB1*02(17.5%,DRB1*07(17%),DRB1*04(14.75%)DQB1*01(25.5%),DQB1*03(21.75%),D

Fifty celiac disease (CD) patients (21 males and 29 females) with an age range of 2-35 years and 25 apparently healthy controls were investigated for 10 autoantibodies (anti-tissue transglutaminase IgA antibody; ATA, anti-tissue transglutaminase IgG antibody; ATG, anti-gliadine IgA antibody; AGA, anti-gliadine IgG antibody; AGG, anti-nuclear antibody; ANA, anti-double strand DNA antibody; AdsDNA, anti-thyroid peroxidase antibody; ATP, anti-phospholipid antibody; APP, anti-myeloperoxidase antibody; AMP and anti-proteinase 3 antibody; AP3) in their sera. Six autoantibodies (ATA, ATG, AGA, AGG, AMP and AP3) showed significant variations between CD patients and controls. The first four antibodies were not detected in sera of controls, while

Background: Although the issue of anemia after renal transplantation (RT) has received increasing attention lately, the data on the exact prevalence of post-transplantation anemia (PTA) in the Iraqi patients are limited.
Objective: In this study we sought to determine the prevalence of PTA among Iraqi patients and to correlate the renal allograft function measurements and the use of immunosuppressant with the prevalence of anemia.
Patients and Methods: One hundred and twelve (74 male, 38 female) kidney transplant recipients (KTR) attending the kidney transplant center at surgical specialties hospital were studied. All patients were on maintenance, combined immunosuppressive therapy. The renal function

In order to find the relationship between Helicobacter pylori infection and hematological disease are disorders which primarily affect the blood and blood-forming organs. One hundred and three blood samples were taken for people aged (20-68) years for the period from 10/1/2021 to 1/3/2022, divided into three groups. The first group included 44-person H. pylori-infected with symptoms of infection, the second group had 19-person H. pylori-infected but without symptoms, and the third group included 40 people without H. pylori infection. All studied groups were carried out to measure anti-IgG Ab, Vac A and Ferritin by Enzyme Linked Immunosorbent Assay (ELISA) technique. The statistical analysis indicates a non-significant difference in Vac A (p

Background: The study was conducted to investigate the association between hyperprolactinaemia and markers of human leukocyte antigen (HLA) system in a sample of Iraqi infertile females, together with the profile anti-nuclear antibodies (ANA).
Objectives: One hundred and seventy five female patients (age range: 20 -40 years) were recruited in this study. They were attending the Institute for Embryo Research and Infertility Treatment (Al-Nahrain University) during the period January 2005 - September 2006.
Results:After clinical and laboratry evaluations, it was found that 100 patients were hyperprolactinaemic, whereas the other 75 patients were euprolactinaemic, therefore, they were considered as a control group. Based on serum le

    In recent years, predicting heart disease has become one of the most demanding tasks in medicine. In modern times, one person dies from heart disease every minute. Within the field of healthcare, data science is critical for analyzing large amounts of data. Because predicting heart disease is such a difficult task, it is necessary to automate the process in order to prevent the dangers connected with it and to assist health professionals in accurately and rapidly diagnosing heart disease. In this article, an efficient machine learning-based diagnosis system has been developed for the diagnosis of heart disease. The system is designed using machine learning classifiers such as Support Vector Machine (SVM), Nave Bayes (NB), and K-Ne

Background:

Background: Chronic obstructive pulmonary disease (COPD) is a preventable disease with some significant extra pulmonary effects that may contribute to the severity in individual patients.. The systemic manifestations  of  COPD  include  a number of endocrine disorders , such  as  those  involving the pituitary, the thyroid , the gonads, the adrenals  and  the pancreas.  The  mechanisms  by which COPD  alters  endocrine function are incompletely understood  but likely involve  hypoxemia , hypercapnia , systemic inflammation and  glucocorticoid  administration.

Objective:  To evaluate the relationship bet

Background: Congenital heart disease is one of the most common developmental anomalies in children. These patients commonly have poor oral health that increase caries risk. Dental management of children with congenital heart disease requires special attention, because of their heightened susceptibility to infectious endocarditis. The aims of this study were to assess the severity of dental caries of primary and permanent teeth and treatment needs in relation to nutritional indicator (Body Mass Index) among children with congenital heart disease. Materials and Methods: In this case-control study, case group consisted of 399 patients aged between 6-12 years old with congenital heart disease were examined for dental status in Ibn Al-Bitar spec