Some genetic factors are not only involved in some autoimmune diseases but also interfere with their treatment, Such as Crohn's disease (CD), Rheumatoid Arthritis (RA), ankylosing spondylitis (AS), and psoriasis (PS). Tumor Necrosis Factor (TNF) is a most important pro-inflammatory cytokine, which has been recognized as a main factor that participates in the pathogenesis and development of autoimmune disorders. Therefore, TNF could be a prospective target for treating these disorders, and many anti-TNF were developed to treat these disorders. Although the high efficacy of many anti-TNF biologic medications, the Patients' clinical responses to the autoimmune treatment showed significant heterogeneity. Two types of TNF receptor (TNFR); 1 and 2, it classified into two superfamilies; TNF-superfamily of ligands (TNFSF) (19 ligands) and TNF receptor superfamily (TNFRSF) (29 receptors). This review aims to provide an overview of the impact of genetic polymorphism on TNF alpha receptors on the response to anti-TNF biologics. Several single nucleotide polymorphisms (SNPs) recorded in the TNFRs gene on various immune system cells may affect the lower corresponding TNFRs gene expression. The present review summarized the studies that highlighted the role of heterogeneity in varying the response of patients. Many researchers indicated SNPs' effect on the response of autoimmune patients to treatment with anti-TNF biologic medications, while other studies did not find a correlation. In conclusion, TNF is involved in several diseases such as CD, RA, AS, and PS; there was a link between TNFRs polymorphism and non-responsiveness to anti-TNF-α medications.
Background: Homocysteine (Hcy) is a sulfur containing amino acid that is formed as an intermediary in methionine metabolism. Raised plasma homocysteine levels, which may contribute
to the increased risk of chronic liver disease.
Patients and Methods: Sixty two patients with chronic liver disease and 26 healthy individuals were included as normal controls for the study. The HPLC system was used for the determination of Hcy and vitamin B12.
Results: A highly significant Hcy concentrations were noted in all patients with cirrhosis, chronic hepatitis or liver mass. There was a trendency towards higher Hcy concentrations in more advanced stages of liver disease. The study showed that the concentrations of tot
Alpha shape theory for 3D visualization and volumetric measurement of brain tumor progression using magnetic resonance images
Occurrence the heavy metals in water is one of the most important concerns. may cause savior health problems. In this work we made an attempt to know the quantity of six heavy metals in groundwater in different locations of Baghdad city. Examinations were made on groundwater of the review region to assess the heavy metals. Groundwater samples were gathered and analyzed utilizing Atomic Absorption Spectrophotometer for their Manganese, Iron, Zinc, Cadmium, Copper and Lead content and their levels compared with World Health Organization (WHO) specified maximum contaminant level. In order to accomplish this, water samples were obtained from 10 randomly selected wells in the region, in February and August, 2016. The study showed that the ground
... Show MoreThe current research focused on the detection of Salmonella typhi and its relationship with the formation of gallstone and gall bladder cancer. Samples were collected from patients aged between 32-67 years (males and females) in Mosul city hospitals. The samples included 30gallbladder fresh tissues from patients suffering from gallstone and 20 formalinfixed-paraffin embedded (FFPE) gallbladder tissue from patients confirmed with gallbladder cancer. The results showed that 33% S. typhi isolates were diagnosed from the tissue samples using conventional methods, biochemical tests and Vitek2. All fresh tissues samples gave positive PCR results for the presence of FliC-d and CdtB genes and 46% positi
... Show MoreGenetic Algorithms (GA) is a based population approach. It belongs to a metaheuristic procedure that uses population characteristics to guide the search. It maintains and improves multiple solutions which may produce a high-quality solution to an optimization problem. This study presents a comprehensive survey of the GA. We provide and discuss genetic algorithms for new researchers. We illustrate which components build up the GAs and view the main results on complexity time.
Today the Genetic Algorithm (GA) tops all the standard algorithms in solving complex nonlinear equations based on the laws of nature. However, permute convergence is considered one of the most significant drawbacks of GA, which is known as increasing the number of iterations needed to achieve a global optimum. To address this shortcoming, this paper proposes a new GA based on chaotic systems. In GA processes, we use the logistic map and the Linear Feedback Shift Register (LFSR) to generate chaotic values to use instead of each step requiring random values. The Chaos Genetic Algorithm (CGA) avoids local convergence more frequently than the traditional GA due to its diversity. The concept is using chaotic sequences with LFSR to gene
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