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Possible Protective Anticancer effect of Ethanol Fraction of Iraqi Hibiscus Tiliaceus L. Leaves Extract on Diethylnitrosamine-induced Hepatocarcinogenesis in Male Rats
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Abstract  Liver cancer with hepatocellular carcinoma a serious clinical illness that progresses quickly and has a bad prognosis because to increased malignancy. Fibrosis is the precursor of liver cancer, which progresses to cirrhosis and carcinoma Diethylnitrosamine (DEN) is a chemical molecule that has been used as a carcinogenic agent to promote cancer in test animals because of its strong carcinogenic potential. Herbal plants have long been used as inexpensive, effective alternatives to pharmaceuticals in various liver-associated complications, since they contain many bioactive compounds useful in liver disorders. Hibiscus tiliaceus L. (Malvaceae) contain various phytochemicals in the plant extracts such as Flavonoids, phenols, alkaloids, Tannins, Saponins, Quinones, Coumarine, Triterpenoids, glycosides and Steroids. Thus, has various health benefits, and have medicinal and therapeutic values, It could be a source of natural antioxidants, antimicrobials, hepatoprotective compounds, and antimutagenic effects. The study was designed To study the possible protective role of Iraqi Hibiscus tiliaceus L. ethanol leaves extract administered in two different doses on diethylnitrosamine induced liver carcinoma in male Wistar Albino rats. Rats utilized in this study were randomized into 4 groups (six rats per each group); Group I: (Control) Rats were administered oral daily dose of 1ml /kg/day of distilled water for 20 weeks; Group II: rats intraperitoneally injected with 70 mg/kg diethyl nitrosamine once per week for 10 continuous weeks; Group III: Rats were administered 250mg/kg of Iraqi Hibiscus tiliaceus L.  ethanol leaves extract as chronic oral administration with food for 5 days per week for 20 weeks and subsequently intraperitoneal dose of diethylnitrosamine (70 mg/kg) once per week for 10 continuous weeks; Groups IV: Rats were administered 500mg/kg of Hibiscus tiliaceus L. ethanol leaves extract as chronic oral administration with food for 5 days per week for 20 weeks with subsequently intraperitoneal dose of diethylnitrosamine (70 mg/kg) once per week for 10 continuous weeks. The finding revealed that Iraqi Hibiscus tiliaceus L.  ethanol leaves extract showed significant reduction (P<0.05) in malondialdehyde, alpha fetoprotein (AFP), alanine aminotransferase (ALT), and aspartate aminotransferase (AST), total bilirubin (TSB), pro-inflammatory cytokines include transforming growth factor beta (TGFβ), tumor necrosis factor alpha (TNFα) and significant elevation (P<0.05) of anti-oxidant enzyme superoxide dismutase (SOD) in dose dependent manner. In conclusion this study demonstrated that the chemoprotective role of Hibiscus tiliaceus L. ethanol leaves extract might be explained by; lowered levels of hepatic enzymes, pro-inflammatory cytokines, and antioxidant levels, as well as decreased levels of alpha fetoprotein (AFP), the gold standard for detecting hepatocellular carcinoma.

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Publication Date
Thu Jan 27 2022
Journal Name
Nanomaterials
Improving the Melting Duration of a PV/PCM System Integrated with Different Metal Foam Configurations for Thermal Energy Management
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The melting duration in the photovoltaic/phase-change material (PV/PCM) system is a crucial parameter for thermal energy management such that its improvement can realize better energy management in respect to thermal storage capabilities, thermal conditions, and the lifespan of PV modules. An innovative and efficient technique for improving the melting duration is the inclusion of an exterior metal foam layer in the PV/PCM system. For detailed investigations of utilizing different metal foam configurations in terms of their convective heat transfer coefficients, the present paper proposes a newly developed mathematical model for the PV/PCM–metal foam assembly that can readily be implemented with a wide range of operating condition

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Publication Date
Tue Jun 16 2020
Journal Name
Frontiers In Pharmacology
Administration of Δ9‐Tetrahydrocannabinol (THC) Post‐Staphylococcal Enterotoxin B Exposure Protects Mice From Acute Respiratory Distress Syndrome and Toxicity
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Publication Date
Sat Apr 30 2022
Journal Name
Revue D'intelligence Artificielle
Performance Evaluation of SDN DDoS Attack Detection and Mitigation Based Random Forest and K-Nearest Neighbors Machine Learning Algorithms
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Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne

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Publication Date
Mon Mar 01 2021
Journal Name
Microporous And Mesoporous Materials
Using the ash of common water reeds as a silica source for producing high purity ZSM-5 zeolite microspheres
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Publication Date
Thu Feb 06 2020
Journal Name
Scientific Reports
Waste foundry sand/MgFe-layered double hydroxides composite material for efficient removal of Congo red dye from aqueous solution
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Abstract<p>We aimed to obtain magnesium/iron (Mg/Fe)-layered double hydroxides (LDHs) nanoparticles-immobilized on waste foundry sand-a byproduct of the metal casting industry. XRD and FT-IR tests were applied to characterize the prepared sorbent. The results revealed that a new peak reflected LDHs nanoparticles. In addition, SEM-EDS mapping confirmed that the coating process was appropriate. Sorption tests for the interaction of this sorbent with an aqueous solution contaminated with Congo red dye revealed the efficacy of this material where the maximum adsorption capacity reached approximately 9127.08 mg/g. The pseudo-first-order and pseudo-second-order kinetic models helped to describe the sorption measure</p> ... Show More
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Publication Date
Wed Dec 13 2023
Journal Name
Drug And Chemical Toxicology
Single and repeat-dose toxicity and local tolerance assessment of newly developed oil emulsion adjuvant formulations for veterinary purposes
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Publication Date
Fri Jan 01 2021
Journal Name
Aip Conference Proceedings
Preparation and characterization of biomass-alumina composite as adsorbent for safranine-o dye from aqueous solution at different temperatures
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Publication Date
Thu Feb 01 2024
Journal Name
Baghdad Science Journal
Improving the efficiency and security of passport control processes at airports by using the R-CNN object detection model
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The use of real-time machine learning to optimize passport control procedures at airports can greatly improve both the efficiency and security of the processes. To automate and optimize these procedures, AI algorithms such as character recognition, facial recognition, predictive algorithms and automatic data processing can be implemented. The proposed method is to use the R-CNN object detection model to detect passport objects in real-time images collected by passport control cameras. This paper describes the step-by-step process of the proposed approach, which includes pre-processing, training and testing the R-CNN model, integrating it into the passport control system, and evaluating its accuracy and speed for efficient passenger flow

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Publication Date
Mon Feb 01 2021
Journal Name
Meta Gene
Association analysis of FTO gene polymorphisms rs9939609 and obesity risk among the adults: A systematic review and meta-analysis
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Publication Date
Fri Mar 10 2017
Journal Name
Superconductor Science And Technology
Conceptual designs of conduction cooled MgB<sub>2</sub> magnets for 1.5 and 3.0 T full body MRI systems
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