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Urokinase-type plasminogen activator receptor as a predictive marker for cardiac disease among type 2 diabetic patients
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Abstract<sec> <title>Background:

Type 2 diabetes mellitus is a progressive and chronic disease manifested by β-cell dysfunction and improved insulin resistance. Higher levels of urokinase-type plasminogen activator receptors have been found to predict morbidity and mortality among diabetic patients with cardiac disease.

Objective:

This study aims to explore the role of serum urokinase-type plasminogen activator receptor levels as a prognostic marker among type 2 diabetic Iraqi patients.

Materials and Methods:

A total of 70 type 2 diabetic patients (40 male and 30 female) (mean age: 46.20 ± 7.56 years) participated in this study; 35 patients were with cardiovascular disease and 35 were without cardiovascular disease; their ages range were 40–55 years. They were collected from Baghdad Teaching Hospital/Medical City, Baghdad, Iraq through the period from October 2022 to February 2023. Moreover, 30 individuals who were apparent healthy were selected as control group.

Results:

There was significant increase in blood glucose, lipid levels with their ratios, and C-reactive protein in diabetic patients as compared to the control. Also, the present results reveal high levels of urokinase-type plasminogen activator receptor (2500.72 ± 12.36 vs. 2255.32 ± 10.15) ρg/mL with OR = 1.80, 95% CI: 1.2, and P = 0.0001 in type 2 diabetic patients with and without cardiovascular disease, respectively, as compared to healthy control (229.00 ± 14.48) ρg/mL. Moreover, this study reveals that female patients had higher levels of serum urokinase-type plasminogen activator receptor as compared to the male patients.

Conclusion:

It demonstrated that urokinase-type plasminogen activator receptor levels reliably predict morbidity among type 2 diabetic patients presenting with symptoms suggestive of cardiovascular disease.

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Publication Date
Thu Mar 30 2017
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Synthesis, Characterization and Antibacterial Activities of Ligand Type N2O4 Schiff base and its Novel Complexes with Co(II), Ni(II), Cu(II) and Zn(II) ions.
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Publication Date
Thu Oct 15 2026
Journal Name
Journal Of Baghdad College Of Dentistry
Enhancement of tooth eruption by using amniotic stem cells (Immunohistochemical study of VEGF marker)
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Publication Date
Tue Jul 01 2025
Journal Name
Iranian Journal Of Veterinary Medicine
Aryl Hydrocarbon Receptor Modulation Impacts on the Blood-testis Barrier Integrity via TJP1 Function
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Background: Male infertility is a global concern and it tends to increase due to miscellaneous factors, such as environmental toxins and genetic and lifestyle choices. The aryl hydrocarbon receptor (AHR) has recently attracted attention due to its involvement in male infertility mechanisms and impact on sperm production and function. AHR, a versatile receptor expressed in various tissues, including the testes, regulates the genes involved in spermatogenesis. AHR activation is associated with cell cycle regulation and chromatin condensation during spermatogenesis. Objectives: This study aimed to investigate the influence of AHR activation on blood-testis barrier (BTB) integrity, focusing on the role of tight junction protein-1 (TJP1)

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Publication Date
Wed Jan 01 2025
Journal Name
Journal Of Image And Graphics
DAB-UNET: Dual Attention Block UNET Segmentation for Diabetic Retinopathy Utilizing an Encoder-Decoder Residual
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—Fundus images play an essential role in ophthalmic diagnostics for the detection of many eye illnesses. The experiment begins with a thorough image preprocessing. technique, which includes clipping the circular borders, scaling the image, enhancing the contrast, removing noise, and augmenting the data. The new combined block applies to extracting distinctive deep feature representations, which help to detect the first shape of the edges of each lesion. It is namely the Attention Block and the Conv-Deconv UNET model. The attention block is subsequently implemented in order to augment the robustness and quality of feature depictions derived from a pair of DR images. The Dual Attention Block for the backbone, which is supplement

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Publication Date
Thu Oct 15 2026
Journal Name
Journal Of Advanced Research Design
Sustainable Leaf Plant Disease Based on Salp Swarm Algorithm for Feature Selection
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Sustainable plant protection and the economy of plant crops worldwide depend heavily on the health of agriculture. In the modern world, one of the main factors influencing economic growth is the quality of agricultural produce. The need for future crop protection and production is growing as disease-affected plants have caused considerable agricultural losses in several crop categories. The crop yield must be increased while preserving food quality and security and having the most negligible negative environmental impact. To overcome these obstacles, early discovery of satisfactory plants is critical. The use of Advances in Intelligent Systems and information computer science effectively helps find more efficient and low-cost solutions. Thi

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Publication Date
Sun Oct 01 2017
Journal Name
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Pre-operative serum TSH level estimation for predicting malignant nodular thyroid disease
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Evolutionary Feature Optimization for Plant Leaf Disease Detection by Deep Neural Networks
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Publication Date
Sun Feb 28 2021
Journal Name
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Using jack knife to estimation logistic regression model for Breast cancer disease
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Publication Date
Sun Feb 28 2021
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Journal Of Economics And Administrative Sciences
Using jack knife to estimation logistic regression model for Breast cancer disease
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Publication Date
Wed Jan 30 2013
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Chronic Kidny Disease and Risk of coronary Artery Disease,Aprospective study
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