Background Coronavirus disease 2019 (COVID-19) is an ongoing pandemic which has emerged as a new challenge for the medical sciences. Severity of COVID-19 is mostly determined with overexpressed proinflammatory cytokines eventually leading to endothelial dysfunction causing vital organ injury, especially in the lungs. It has been postulated that various genetic mutations might be associated with an increased risk of disease severity in COVID-19. This study was thus carried out to determine the association of rs1800896 and rs1800872 genetic polymorphism in IL-10 gene in determining COVID-19 severity. Methods The study included 160 RT-PCR confirmed COVID-19 patients with mild (n = 85) and severe (n = 75) conditions. All subjects were genotyped for Interleukin-10 (rs1800896 and rs1800872) gene polymorphisms using PCR–RFLP technique followed by statistical analysis. Results This study found a significant gender and age-based discrepancy in COVID-19 severity with 1.85-and 3.81-fold increased risk of COVID-19 in males of mild and severe groups as compared to females (p = 0.046 and p < 0.001) and 4.35-fold high risk in subjects ≥ 50 (p < 0.001). Genotyping analysis showed that IL-10 (rs1800872) gene polymorphism was strongly associated with COVID-19 severity (p = 0.01) whereas, IL-10 rs1800896 polymorphism was not found to confer the risk of COVID-19 severity in our population. Conclusion In this regard, the present study provided an evidence that IL-10 (rs1800872) gene polymorphism is strongly associated with COVID-19 severity and CC genotype confer a protective role in preventing severe disease progression. More detailed studies with a larger sample size on the genetic variations are required to establish the role of studied IL-10 gene polymorphisms with COVID-19 severity.
The aim of our project to automate the application to overcome from the language barrier among countries and also states within the country, the above mentioned application will perform the various features in the application. The application recognizes speech (human matter) in one language to another user defined language to communicate in expressive manner. It includes 4 modules voice recognition, translation and speech synthesis and image translation and gives audio of the translated language. Also the application accepts text written and converts it into the language needed. Application is able to recognize the text present in the image which stored in system or captured using camera and translate the text into the language needed and display the translation result back on to the screen of system.
Background: Ce rvical cancer is the second leading cause of cancer in women, which necessitates safe and potential therapeutic agents. Objective: This study was designed to investigate the antiproliferative effect of ethanolic extract of Cissus quadrangularis L. (CQ) against human cervical adenocarcinoma HeLa cell line and in silico analysis of selected active agents against apoptosis executioner enzyme caspase-3. Methods: Cell viability was analyzed in HeLa cells at different concentrations (25-300 μg/ml) of CQ extract. Reactive oxygen species (ROS) generation, cellular apoptosis, cell cycle analysis and caspases-3 activation were evaluated. In silico structure-based virtual screening analysis was carried out using AutoDock Vina and iGEMDOCK. Results: Cell viability of HeLa cells was reduced significantly (p ˂ 0.05) in a dose-dependent manner, however, CQ extract showed non-toxic to normal kidney epithelial NRK-52E cells. CQ extract induced the intracellular ROS level, nuclear condensation and reduced the mitochondrial membrane potential (MMP) with the induction of annexin V-FITC positive cells. CQ extract arrested cells in G0/G1 and G2/M checkpoints and activated caspase-3 activity significantly in HeLa cells. The molecular docking study showed a strong binding affinity of CQ phytocomponents against the caspase-3 (PDB ID: 1GFW) protein of human apoptosis. PASS analyses of selected active components using Lipinski’s Rule of five showed promising results. Further, drug-likeness and toxicity assessment using OSIRIS Data Warrior V5.2.1 software exhibited the feasibility of phytocomponents as drug candidates with no predicted toxicity. Conclusion: This study suggested that active constituents in CQ extract can be considered as potential chemotherapeutic candidates in the management of cervical cancer.
Cutting fluids are important elements of manufacturing industries and are used in large quantities. But its use poses a serious health issue to the surrounding people working in its atmosphere. Hence, the disposal should be only after neutralization thereby protecting worker and aquatic life. This leads to select an optimal alternative that is not only environmentally friendly but also safe for human beings and aquatic life. Further, it should also perform at par with the mineral oil-based cutting fluid. In the present research, a framework has been proposed to assist the decision-makers in the selection and evaluation of lubricant by the Analytical hierarchical process (AHP) and VIKOR method. In the proposed research three cutting fluids i.e. Neem oil with 5% emulsifier, Neem oil with 10% emulsifier, and a conventional mineral oil-based cutting fluid have been considered as alternatives. These have been evaluated on the basis of different significant parameters like the temperature at the tooltip, surface roughness, and tool wear. The basic aim of this paper is to present the logical selection process of a cutting fluid as well as to show that ranking or choice of cutting fluid may also change if the priority of the parameter is changed.
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