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GENETIC ANALYSIS OF INTERLEUKIN 37GENE SINGLE NUCLEOTIDE POLYMORPHISMS IN ALOPECIA AREATA PATIENTS
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Background: Alopecia areata(AA) is a common autoimmune disease that causes hair loss without scarring. It occurs as a result of T-helper 1 (Th1) and Th17 cells attacking the anagen hair follicles. Genetic factors play a role in the occurrence of infection, which stimulates the production of pro and anti-inflammatory interleukins. Polymorphisms of IL-37 play a role in autoimmune diseases. However, IL37 single nucleotide polymorphisms(SNP) have not been identified in patients with AA. Therefore, this study aimed to reveal the IL37 gene SNP and its relationship to AA. Methods: Genotyping of IL-37 gene single nucleotide polymorphisms SNPs were detected using sequence-specific primer-polymerase chain reaction (SSP-PCR) method was done following the protocol of DNA Extraction kit and PCR PreMix SNP Genotyping Assays in 51 (32 males & 19 females at age mean 27.90±1.66 years) patients with AA and 50 (21 males & 29 females at age mean30.64±2.08years ) healthy individuals. Results: The results of the present study showed a significant increase in the mean level of IL-37 in the serum of patients with AA compared to healthy subjects (184.18±69.45 vs.153.28±48.17) pg/ml. This increase did not constitute a significant difference at a probability level less than. In addition, genotypes of single nucleotide polymorphisms (SNPs) of IL-37 gene were rs3811045 (5756 T>C) and rs3811046 (5831 G>T) that result in substitution and inversion mutations, and thus cause a change in the type of amino acid. The CC and allele C and TC of rs3811045 were risk factors for AA due to a significantly higher odd ration (OR) value and a significantly increased frequency percentage in patients group compared to a healthy control group (37.50 vs 25.58 OR: 1.75 p = 0.264, 95% CI = 0.72–4.25, 66.0 vs 86.0 OR: 1.78 p = 0.068, 95% CI = 0.98–3.23; 56.25 vs 55.81 OR: 1.02 p = 1.0 95% CI = 0.45–2.31 respectively). Also the results of rs3811046 recorded that the TT and allele T frequency percentages were significant increase in patients group (39.58 vs 25.58 OR: 1.91 P = 0.184, 95% CI = 0.79-4.63, 66.0 vs. 52.0 OR: 1.74, P =0.072,95%CI= 0.96–3.15) respectively, which was a risk factor for infection. This study is the first of its kind to show the relationship of IL-37 level and genetic single nucleotide polymorphisms with AA. Conclusions The present study's results can conclude that the TC, CC and the C allele of IL-37 SNP rs3811045 and TT genotypes and the T allele of IL-37 SNP rs3811046 have a role in the risk of developing AA. It is recommended to conduct several genetic studies of other interleukin genes and to ascertain their relationship to AA. © 2023, Journal of Biomechanical Science and Engineering.

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Publication Date
Sun Aug 24 2014
Journal Name
Wireless Personal Communications
Multi-layer Genetic Algorithm for Maximum Disjoint Reliable Set Covers Problem in Wireless Sensor Networks
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Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
Single Quranic between the root of language and meaning of Quranic
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Publication Date
Mon Nov 01 2021
Journal Name
Archives Of Razi Institute
RAPD Fingerprinting and Genetic Diversity of Salmonella Spp. Isolated from Broiler and Layer Flocks in Karbala, Iraq
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Salmonellosis in poultry is one of the most significant bacterial infections causing mortality, reduced production, and serious economic losses. This study aimed to study the molecular diversity among Salmonella isolates and investigate the epidemiological spread of these bacteria in broiler and layer chicken flocks in five different farms in Karbala, Iraq, using random amplified polymorphic DNA (RAPD) polymerase chain reaction (PCR). In total, 217 cloac a swabs were collected from the farms, out of which 129 and 88 swabs were taken from broiler and layer chickens. The samples were screened by PCR for S. enterica subsp. enterica using primers specific for the invA gene. Afterward, RAPD-PCR with uniplex or multiplex octamer primers was appli

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Scopus
Publication Date
Thu Mar 30 2017
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Genetic Variations of Echinococcus granulosus Isolated from Sheep and Cows by Using Fingerprint DNA Method in Iraq
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The fingerprinting DNA method which depends on the unique pattern in this study was employed to detect the hydatid cyst of Echinococcus granulosus and to determine the genetic variation among their strains in different intermediate hosts (cows and sheep).  The unique pattern represents the number of amplified bands and their molecular weights with specialized sequences to one sample which different from the other samples.   Five hydatitd cysts samples  from cows and sheep were  collected, genetic analysis for  isolated DNA was done using PCR technique and  Random Amplified Polymorphic DNA reaction(RAPD) depending on (4) random primers, and the results showed:      

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Publication Date
Wed May 10 2023
Journal Name
Journal Of Engineering
Damage Detection and Assessment of Stiffness and Mass Matrices in Curved Simply Supported Beam Using Genetic Algorithm
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In this study, a genetic algorithm (GA) is used to detect damage in curved beam model, stiffness as well as mass matrices of the curved beam elements is formulated using Hamilton's principle. Each node of the curved beam element possesses seven degrees of freedom including the warping degree of freedom. The curved beam element had been derived based on the Kang and Yoo’s thin-walled curved beam theory. The identification of damage is formulated as an optimization problem, binary and continuous genetic algorithms
(BGA, CGA) are used to detect and locate the damage using two objective functions (change in natural frequencies, Modal Assurance Criterion MAC). The results show the objective function based on change in natural frequency i

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Publication Date
Thu Oct 01 2015
Journal Name
Engineering And Technology Journal
Genetic Based Optimization Models for Enhancing Multi- Document Text Summarization
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Publication Date
Sat May 01 2021
Journal Name
Journal Of Physics: Conference Series
A Parallel Adaptive Genetic Algorithm for Job Shop Scheduling Problem
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Publication Date
Fri Apr 01 2011
Journal Name
Al-mustansiriyah Journal Of Science
A Genetic Algorithm Based Approach For Generating Unit Maintenance Scheduling
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Publication Date
Thu Jul 25 2019
Journal Name
Advances In Intelligent Systems And Computing
Solving Game Theory Problems Using Linear Programming and Genetic Algorithms
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Publication Date
Sun Dec 06 2009
Journal Name
Baghdad Science Journal
Automatic Block Selection for Synthesizing Texture Images using Genetic Algorithms
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Texture synthesis using genetic algorithms is one way; proposed in the previous research, to synthesis texture in a fast and easy way. In genetic texture synthesis algorithms ,the chromosome consist of random blocks selected manually by the user .However ,this method of selection is highly dependent on the experience of user .Hence, wrong selection of blocks will greatly affect the synthesized texture result. In this paper a new method is suggested for selecting the blocks automatically without the participation of user .The results show that this method of selection eliminates some blending caused from the previous manual method of selection.

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