Estimation Tnf-αgene Polymorphisms in Patients with Behcet's Disease in Babylon Province-Iraq

Abstract

Behcet's disease (BD) sometimes called Behcet's syndrome or Silk Road disease, is a rare disorder Behcet’s disease is a multi-systemic vascular, and its pathological origin is unknown. Genetic factors that predispose individuals to Behcet’s disease (BD) are considered to play an important role in the development of the disease. The serum level of tumor necrosis factor (TNF) is elevated in patients with BD. The aim of this meta-analysis was to assess the association between TNF gene polymorphisms and BD. Materials and Methods: A hospital-based case-control study design was carried out on (34) patients with Behcet disease and control group seen at Rheumatology outpatient clinic in Merjan Teaching Hospital in Babylon Iraq, all patients and control were from the same ethnic group ( Arabic). A systematic literature search was conducted to identify all relevant studies. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to estimate the strength of the association. Results: The overall mean age of patients and control was (36.15±14.23) and (30.20±11.36) years old, respectively. Behcet disease was two times more likely to have family history of disease. The Genotype of TNF-a gene polymorphism with Allele frequency between the two group patient and control were detected using PCR-RFLP technique. The frequencies of TT, TC, and CC of TNF-a gene polymorphism were 35%, 53% and 12% in the patient with BD group, 62%, 32% and 6% in the control group. Conclusion: Behcet disease have a genetic predisposition represented by Molecular study of TNF-a gene there are TT genotype and C allele of TNF-a gene can be considered as independent risk factors for Behcet disease, hence the significant association between TT genotype and C allele with Behcet disease suggested by this study. Abbreviations: BD Behcet’s disease, TNF-_ Tumor necrosis factor-alpha, HLA Human leukocyte antigen, PCR–RFLP Polymerase chain reaction–restriction fragment length polymorphism, PCR-SSCP single strand complement polymorphism techniques.