Abstract Introduction: MMP3 plays a crucial role in the process of bone erosion in the pathomechanism of rheumatoid arthritis (RA). It acts by removing the outer osteoid layer, which allows the osteoclasts to tightly connect and carry out the subsequent damage to the underlying bone. MMP3 can trigger the production of other MMPs like MMP-1, MMP-7, and MMP-9, it plays a pivotal role in the remodeling of connective tissues. Aim of the study: to assess the influence of MMP-3 serum levels and single-nucleotide polymorphisms of rs679620 in the rheumatoid arthritis patients' group in comparison to the control group. Subjects: eighty eight samples, 45 rheumatoid arthritis patients after being referred by their treating physician for regular RA test. The remaining 43 samples all represent apparently healthy people. The present study investigated the serum concentration of MMP-3 and rs679620 SNPs in the group of patients with RA, in comparison to the control group. Results: The results indicated a significant elevation in MMP-3 levels in RA patients in comparison to healthy individuals (12.75 ± 0.38 vs. 9.69 ± 0.37) and the findings of rs679620 SNPs appeared that the patient group has a non-significant increase in both allele frequency A and genotype frequency AA when compared to the control group (66.2 vs. 52.2 %; p = 0.172; OR = 1.79 and 35.3 vs. 17.4 %; p = 0.229; OR = 2.59) , but a non-significant decrease in both allele frequency C and genotype frequency CC when compared to the control group (2.94 vs. 4.4 %; p = 1.0; OR = 0.67 and 2.9 vs. 4.3 %; p = 1.0; OR = 0.67), as well as a non-significant decrease in allele frequency G and both genotypes frequency GG and AG when compared to the control group (30.9 vs. 43.5 %; p = 0.233; OR = 0.58, 0.0 vs. 8.7 %; p = 0.159; OR = 0.12 and 61.8 vs. 69.6 %; p = 0.585; OR = 0.71 ). Patients carrying the AA and AG genotype, had significantly higher serum levels of MMP-3 compared to control (P= 0.005 and 0.004) respectively. Conclusion: Rs679620 may influence joint destruction via increase MMP-3 production.
To identify the fungi associated with water hyacinth (Eichhornia crassipes [Mart.] Solms), an aquatic weed, which presents in Tigris river from Baghdad south ward. Five regions from middle and south of Iraq (Al-Noumanya, Saeid Bin-Jubier, Al-Azizia, Al-Reyfay and Al-Hay) were selected for this study. Twelve fungal species were isolated. Alternaria alternata, Acremonium sp and Cladsporium herbarum, were the most frequently species (91.66 % ,50 % and 25 %) respectively. The fungi Alternaria alternata, Acremonium sp. and Phoma eupyrena were more aggressive to water hyacinth as (91.66%,83,33%, and 75%) in pathogenicity test.
The problem of Bi-level programming is to reduce or maximize the function of the target by having another target function within the constraints. This problem has received a great deal of attention in the programming community due to the proliferation of applications and the use of evolutionary algorithms in addressing this kind of problem. Two non-linear bi-level programming methods are used in this paper. The goal is to achieve the optimal solution through the simulation method using the Monte Carlo method using different small and large sample sizes. The research reached the Branch Bound algorithm was preferred in solving the problem of non-linear two-level programming this is because the results were better.
Unstable angina pectoris often leads to acute myocardial infarction. Since uric acid is thought to be risk factor for cardiovascular disease and considered a major antioxidant in human blood .The level of uric acid and lipid peroxidation in the sera of patients with unstable angina and myocardial infarction were measured and compared to the healthy individuals. Twenty-nine patients with unstable angina and twenty-nine patients with myocardial infarction were studied and compared to twenty-five healthy individuals. Uric acid was measured by using Human Kit. Malondialdelyde (MDA) a lipid peroxidation marker, was measured by thiobarbituric acid method .Significant elevation of uric acid and MDA were observed in the sera of pati
... Show MoreIntended for getting good estimates with more accurate results, we must choose the appropriate method of estimation. Most of the equations in classical methods are linear equations and finding analytical solutions to such equations is very difficult. Some estimators are inefficient because of problems in solving these equations. In this paper, we will estimate the survival function of censored data by using one of the most important artificial intelligence algorithms that is called the genetic algorithm to get optimal estimates for parameters Weibull distribution with two parameters. This leads to optimal estimates of the survival function. The genetic algorithm is employed in the method of moment, the least squares method and the weighted
... Show MoreA Genetic Algorithm optimization model is used in this study to find the optimum flow values of the Tigris river branches near Ammara city, which their water is to be used for central marshes restoration after mixing in Maissan River. These tributaries are Al-Areed, AlBittera and Al-Majar Al-Kabeer Rivers. The aim of this model is to enhance the water quality in Maissan River, hence provide acceptable water quality for marsh restoration. The model is applied for different water quality change scenarios ,i.e. , 10%,20% increase in EC,TDS and BOD. The model output are the optimum flow values for the three rivers while, the input data are monthly flows(1994-2011),monthly water requirements and water quality parameters (EC, TDS, BOD, DO and
... Show MoreAcromegaly is a condition that results from excessive growth hormone production by the anterior pituitary gland. Prolidase (PLD) is the only known human enzyme that can hydrolyze dipeptides with an amino acid at their C terminus. Reports indicate that PLD activity serves as a marker for oxidative stress in numerous disorders such as diabetes, diabetic neuropathy, chronic liver diseases, and osteoporosis. The current study aims to estimate the values of PLD, its correlation with the rest of the parameters, and ROC in acromegaly patients. A group of 61 patients with confirmed acromegaly were collected from the National Diabetic Center, Mustansyrriah University, and 60 control groups were analyzed in the same place for the par
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