Background: genetic factors were considered to play a possible role the development of autoimmune hepatitis.
Patients and methods: polymerase chain reaction-sequence specific primers (PCRSSP) was the method used to asses HLA-typing of 100 blood samples of 60 AIH patients and 40 healthy normal controls.
Results: comparison between AIH patients and healthy controls showed several antigens deviations in their frequencies. HLA-A*113 (A1/-/Null) observed to play a possible risk factor in this disease while significant loss of HLA-A*2 allele were clearly observed which prompt us to believe that it could act as a protective factor, on the other hand, increased frequency of HLA-B*8 & B*14 were statistically significant in AIH which is most likely to be considered as a rather risk factor, while most HLA-B*16 were lost which led us to think of being acting as a rather protective factor.
Conclusions: this finding reflects a preliminary picture that HLA antigens might play a role in AIH susceptibility and further studies are worth being carried out.
Multilocus haplotype analysis of candidate variants with genome wide association studies (GWAS) data may provide evidence of association with disease, even when the individual loci themselves do not. Unfortunately, when a large number of candidate variants are investigated, identifying risk haplotypes can be very difficult. To meet the challenge, a number of approaches have been put forward in recent years. However, most of them are not directly linked to the disease-penetrances of haplotypes and thus may not be efficient. To fill this gap, we propose a mixture model-based approach for detecting risk haplotypes. Under the mixture model, haplotypes are clustered directly according to their estimated d
Background: Cardiovascular diseases are among the most common cause of death in Developed countries. In addition to traditional risk factors for cardiovascular disease, nowadays, accumulating evidence indicates that a variety of infectious agents may contribute to pathogenesis of ischemic heart disease.
Patients and methods: 125 patients (25 females and 100 males) attending the department of cardiology, Baghdad, teaching hospital over the period December 2008- June 2009were enrolled. Their age range between (39-75 years) compared with 50 healthy individuation (Age & sex matched). The sera were tested for H. pylori antibodies using enzyme linked immunosorbent assay (ELISA).
Results: 80% of pa
The present study aims at assessing the effects of chronic kidney disease (CKD) on thyroid hormone and leptin by evaluating the level of: leptin hormone along with thyroid hormone in CKD patients. The study has been conducted on 70 subjects, 50 patients with an age range between 20-50 years (25 males and 25 females) who were diagnosed to have CKD stage-5, and 20 normal controls whose ages ranged between 20-48 years (10 males and 10 females), who attended the Nephrology and Transplant Center in Medical City of Baghdad- Iraq from April 2018 to July 2018. The study showed a highly significant (P<0.01) increase in TSH level in CKD patients in comparison with controls. While T3 and T4 levels observed highly significant decrea
... Show MoreThis study was conducted to investigate thyroid function and Anti-Müllerian hormone (AMH) in (Chronic kidney disease) CKD patients by evaluating their levels in CKD patients, 50 patients were diagnosed to have CKD stage-5, their ages ranged between 20-50 years (25 males and 25 females) who attended the Nephrology and Transplant Center in Medical City of Baghdad- Iraq, they were recruited from April 2018 to July 2018 and were enrolled into the study. The control group consisted of 20 healthy individuals, their ages ranged between 20-48 years (10 males and 10 females). The study showed non-significant (p>0.05) increase in AMH level in CKD patients compared to the control group. On the other hand, TSH was recorded a highly significant (
... Show MoreBackground:
Coronavirus disease 2019 (COVID-19) is a systemic disease with a substantial impact on the hematopoietic system and hemostasis. Neutrophilia is an early indicator of SARS-CoV-2 infection, while lymphopenia acts as a biomarker of the severity of infection, and the neutrophil-to-lymphocyte ratio (NLR) is the main indicator of cytokine storms. Thus, this study aimed to provide local data about hematological parameters among COVID-19 patients and estimate their correlation with viral load and other factors in severe cases. A total of 99 nasopharyngeal swabs and whole blood specimens were collected from individuals suspected with COVID-19 between October and December 2020. Samples were tested by real time reverse transcript
... Show MoreBackground: Ulcerative colitis is a chronic idiopathic inflammatory disorder that affects the rectum & extends proximally to affect variable extent of the colon. Autoimmune hemolytic
anemia had reported in few cases.
Objective: to determine the prevalence of autoimmune hemolytic anemia in Ulcerative colitis.
Patient & Methods: Fifty Iraqi patients having Ulcerative colitis attending the GIT Center in Baghdad during the period from March to August 2004 were interviewed, examined and
diagnosed according to pathological study done for colonic biopsies by the same centre. Blood was drown for the assessment of complete picture with blood film, reticulocyte
percent, erythrocyte sedimentation rate, Coo
Background: Gingival crevice fluid (GCF) is a mixture of substances derived from serum, leukocytes, and structural cells of periodontium and oral bacteria. These substances possess a great potential for serving as indicators of periodontal disease and healing after therapy the main purpose of this study was to find if there is a difference in albumin concentration between healthy and diseased periodontal tissues and to compare between diseased group according to pocket depth Materials and methods: total sample composed of 60 pockets found in 35 patients all of them had no history of any systemic disease, The samples were divided in to three main group that include two diseased groups divided according to the depth of the periodontal pocket
... Show MoreSupport Vector Machine (SVM) is supervised machine learning technique which has become a popular technique for e-mail classifiers because its performance improves the accuracy of classification. The proposed method combines gain ratio (GR) which is feature selection method with one-class training SVM to increase the efficiency of the detection process and decrease the cost. The results show high accuracy up to 100% and less error rate with less number of feature to 5 features.