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Impact of TYMS gene polymorphism on the outcome of methotrexate treatment in a sample of Iraqi rheumatoid arthritis patients – identification of novel single nucleotide polymorphism: Cross-sectional study
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The current work aims to evaluate the association between genetic mutations in thymidylate synthetase (TYMS gene in exon1 and partial regions of promotor and intron 1 [877 bp, 657,220–658,096 bp]) and the therapeutic outcomes for rheumatoid arthritis (RA) Iraqi patients. An observational cross-sectional study involving 95 RA patients with established RA patients based on their methotrexate treatment responsiveness. Genetic sequencing of the TYMS gene was performed for all patients according to the instruction manuals of the sequencing company (Macrogen Inc. Geumchen, South Korea). Four polymorphisms were identified by sequencing 95 randomly selected patients in the noncoding region of TYMS. Three of these polymorphisms were found in the NCBI database’s dbSNP (rs2853741, rs2606241, and rs2853742 SNPs), and one SNP polymorphism is novel (657334). The CTAT (657334, rs2853741, rs2606241, and rs2853742 SNPs) haplotype was significantly associated with responder with odd ratio, 95% confidence interval: 0.506, 0.281–0.912 (P value = .022). In contrast, the other haplotypes were not associated with MTX responsiveness. In the multivariate analysis, after adjusting to the effect of age, sex, smoking, and disease duration, the TCrs2853741 genotype was associated with non-responders (P value = .030). In contrast, the ACrs260641 genotype, after adjusting to the effect of age, sex, and smoking, was associated with non-responders (P value = .035). Genetic polymorphism of the TYMS gene, especially in TCrs2853741 and ACrs260641, predicts non-responder to MTX treatment in RA, while the presence of the CTAT haplotype predicts a good response to MTX treatment.

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Publication Date
Mon Jan 01 2024
Journal Name
Ieee Access
An Evolutionary Algorithm With Heuristic Operator for Detecting Protein Complexes in Protein Interaction Networks With Negative Controls
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Publication Date
Sun Jan 01 2017
Ultra low power and highly linearized LNA for V-band RF applications in 180 nm CMOS technology
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Publication Date
Mon Jan 01 2018
Journal Name
Biochemical And Cellular Archive
Irrigation intervals affect dhn1 expression and some physiological parameters in stay green and non-stay-green sorghum
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Publication Date
Fri Dec 01 2023
Journal Name
Iop Conference Series: Earth And Environmental Science
Enhancing Vegetative Growth by Adding Phosphorus, Silicon, and Citric Acid to Pepper Plants Cultivated in Plastic Greenhouses
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Abstract<p>The research was conducted in a plastic greenhouse at the College of Agricultural Engineering Sciences, University of Baghdad - Jadiriyah Campus, during the 2021-2022 season, to study the effect of phosphorus, silicon, and citric acid on pepper plants using a factorial experiment design with three replicates. The first factor had three levels of phosphorus (0, 160, and 320 kg P<sub>2</sub>O<sub>5</sub> per hectare), the second factor had three levels of potassium silicate (0, 75, and 100 kg per hectare), and the third factor had four levels of citric acid (0, 2, 4, and 6 kg per hectare). The statistical analysis showed that treatment P2S2C1 resulted in an increase </p> ... Show More
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Publication Date
Thu Sep 25 2025
Journal Name
Journal Of Administration And Economics
Bayesian Method in Classification Regression Tree to estimate nonparametric additive model compared with Logistic Model with Application
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The use of Bayesian approach has the promise of features indicative of regression analysis model classification tree to take advantage of the above information by, and ensemble trees for explanatory variables are all together and at every stage on the other. In addition to obtaining the subsequent information at each node in the construction of these classification tree. Although bayesian estimates is generally accurate, but it seems that the logistic model is still a good competitor in the field of binary responses through its flexibility and mathematical representation. So is the use of three research methods data processing is carried out, namely: logistic model, and model classification regression tree, and bayesian regression tree mode

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Publication Date
Mon Jan 01 2018
Journal Name
Organic &amp; Biomolecular Chemistry
Small-molecule anticancer agents kill cancer cells by harnessing reactive oxygen species in an iron-dependent manner
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In the course of generating a library of open-chain epothilones, we discovered a new class of small molecule anticancer agents that has no effect on tubulin but instead kills selected cancer cell lines by harnessing reactive oxygen species in an iron-dependent manner.

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Publication Date
Thu Sep 25 2025
Journal Name
Journal Of Physical Education
Academic Achievement Level and Its Relationship with Some Fundamental Skills in Fencing for Third Year College Students
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Publication Date
Mon Jul 31 2017
Journal Name
Journal Of Engineering
Rigid Trunk Sewer Deterioration Prediction Models using Multiple Discriminant and Neural Network Models in Baghdad City, Iraq
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Publication Date
Thu Feb 27 2025
Journal Name
Journal Of Lifestyle And Sdgs Review
Integrating Quantum Computing and Predictive Analytics and Their Role in Reducing Costs and Achieving Sustainable Development Goals
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Objectives: The research aims to demonstrate the integration between Quantum Computing (QC) and Predictive Analysis (PA) and their role in reducing costs while achieving Sustainable Development Goals (SDGs). The study addresses the inefficiencies in calculating and measuring product costs under traditional systems and examines how QC and PA can enhance cost reduction and product quality to better meet customer needs. Additionally, the research seeks to strengthen the theoretical framework with practical applications, illustrating how this integration improves a company’s competitive position while promoting social, environmental, and economic sustainability.   Methods: The study employs a descriptive analytical approach, focusi

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Publication Date
Tue Aug 01 2017
Journal Name
Journal Of Engineering
Rigid trunk sewer deterioration prediction models using multiple discriminant and neural network models in Baghdad city, Iraq
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The deterioration of buried sewers during their lifetime can be affected by several factors leading to bad performance and can damage the infrastructure similar to other engineering structures. The Hydraulic deterioration of the buried sewers caused by sewer blockages while the structural deterioration caused by sewer collapses due to sewer specifications and the surrounding soil characteristics and the groundwater level. The main objective of this research is to develop deterioration models, which are used to predict changes in sewer condition that can provide assessment tools for determining the serviceability of sewer networks in Baghdad city. Two deterioration models were developed and tested using statistical software SPSS, the

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