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Low heterozygosity for rs3811050, a 5 prime untranslated region variant of the gene encoding interleukin-38 (IL1F10), is associated with a reduced risk of systemic lupus erythematosus
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Abstract<sec> <title>Background

Interleukin-38 (IL-38), an inflammatory cytokine discovered in recent years, has been implicated in the pathogenesis of systemic lupus erythematosus (SLE). IL-38 is encoded by the IL1F10 (interleukin 1 family member 10) gene. Genetic variants of this gene have been associated with susceptibility to a number of autoimmune and inflammatory diseases, while their association with SLE risk has not been explored. In this case–control study, two novel variants of the 5 prime untranslated region (5′UTR) of the IL1F10 gene, rs3811050 C/T and rs3811051 T/G, were investigated in 120 women with SLE and 120 age-matched control women. The TaqMan allelic discrimination assay was used for genotyping of rs3811050 and rs3811051.

Results

The frequency of the rs3811050 CT genotype was significantly lower in SLE patients compared to controls (30.8 vs. 50.0%; odds ratio = 0.49; 95% confidence interval = 0.28–0.86; corrected probability = 0.045). The rs3811051 genotype frequencies did not show significant differences between patients and controls. Rs3811050 and rs3811051 showed weak linkage disequilibrium (LD) as indicated by the estimated LD coefficient and correlation coefficient values (0.32 and 0.05, respectively), and two-locus haplotype analysis revealed no significant differences between patients and controls. The frequencies of the rs3811050 T allele (38.8 vs. 20.6%; probability = 0.029) and the rs3811051 G allele (56.3 vs. 38.2%; probability = 0.038) were significantly higher in patients with mild/moderate disease activity than in patients with high disease activity, but significance was not maintained after applying Bonferroni correction (corrected probability = 0.058 and 0.076, respectively). Serum IL-38 concentrations (median and interquartile range) were significantly decreased in patients compared with controls (69.5 [64.1–74.8] vs. 73.5 [66.1–82.9] pg/mL; probability = 0.03), but were not influenced by SNP genotypes.

Conclusions

The heterozygous genotype of rs3811050, a 5'UTR variant, of the IL-38 encoding gene, IL1F10, is associated with a reduced risk of SLE among women. Furthermore, the rs3811050 T and rs3811051 G alleles may influence disease activity. In addition, serum IL-38 concentrations were down-regulated in SLE patients but were not affected by the rs3811050 and rs3811051 genotypes.

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Sun Sep 01 2013
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Measure the cost of the service in the insurance sector: A study for the Department of Insurance auto / / National Insurance Company
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Insurance is one of effective high-impact activities in the economic and social aspects of development and that the insurance companies after the creation of stability, balance and support other sectors. The insurance of financial institutions with economic and social importance has an impact on the development and help shoulder the burden of risk and distribution. And measuring Indicators of service and cost her help in evaluating the performance and activity of insurance, and the study of sectors needed by society, institutions and individuals and development of the company. Covering all aspects of life and activity. In this study will focus on the insurance sector in the field of car accidents and so plentiful and their problems and d

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Thu Sep 01 2022
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Implementation of a complex fractional order proportional-integral-derivative controller for a first order plus dead time system
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This paper presents the implementation of a complex fractional order proportional integral derivative (CPID) and a real fractional order PID (RPID) controllers. The analysis and design of both controllers were carried out in a previous work done by the author, where the design specifications were classified into easy (case 1) and hard (case 2) design specifications. The main contribution of this paper is combining CRONE approximation and linear phase CRONE approximation to implement the CPID controller. The designed controllers-RPID and CPID-are implemented to control flowing water with low pressure circuit, which is a first order plus dead time system. Simulation results demonstrate that while the implemented RPID controller fails to stabi

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Wed Nov 01 2017
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A Suggested Model for Using a Students Attendance Management Information Systems/ A Case Study In Lebanese French University/ Erbil
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Thu Feb 01 2018
Journal Name
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FLI1 Expression in Breast Cancer Cell Lines and Primary Breast Carcinomas is Correlated with ER, PR and HER2
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FLI1 is a member of ETS family of transcription factors that regulate a variety of normal biologic activities including cell proliferation, differentiation, and apoptosis. The expression of FLI1 and its correlation with well-known breast cancer prognostic markers (ER, PR and HER2) was determined in primary breast tumors as well as four breast cancer lines including: MCF-7, T47D, MDA-MB-231 and MDA-MB-468 using RT-qPCR with either 18S rRNA or ACTB (β-actin) for normalization of data. FLI1 mRNA level was decreased in the breast cancer cell lines under study compared to the normal breast tissue; however, Jurkat cells, which were used as a positive control, showed overexpression compared to the normal breast. Regarding primary breast carcinoma

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Publication Date
Mon Feb 13 2023
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The reliability of using light therapy compared with LASER in pain reduction of temporomandibular disorders: a randomized controlled trial
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Abstract<sec> <title>Background

Temporomandibular Disorders (TMD) refer to a group of symptoms where pain is the most leading cause to demand a treatment by the patient. Light therapies are of great importance at current times due to its biosafety and non-invasive quality when used for the management of TMD symptoms. This study aimed to evaluate the efficacy of red LED light with low-level LASER in treating TMD patients.

Materials and methods

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Tue Apr 02 2019
Journal Name
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A three-stage learning algorithm for deep multilayer perceptron with effective weight initialisation based on sparse auto-encoder
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A three-stage learning algorithm for deep multilayer perceptron (DMLP) with effective weight initialisation based on sparse auto-encoder is proposed in this paper, which aims to overcome difficulties in training deep neural networks with limited training data in high-dimensional feature space. At the first stage, unsupervised learning is adopted using sparse auto-encoder to obtain the initial weights of the feature extraction layers of the DMLP. At the second stage, error back-propagation is used to train the DMLP by fixing the weights obtained at the first stage for its feature extraction layers. At the third stage, all the weights of the DMLP obtained at the second stage are refined by error back-propagation. Network structures an

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