Posted by admin on Mar 31, 2023 in |
Introduction: Discovery of smart drugs is part of advancing the science of molecular and biochemical mechanisms of memory. Smart drugs are not just memory boosters; they also act as memory enhancers that help quick decision-making. Pitavastatin and gemfibrozil both cause lipid-lowering effects by different mechanisms of action. A few studies show they can act on CREB (c-AMP response elemental binding protein), a known transcription factor. CREB performs an essential role in long-term memory restoration. Aim and Objectives: To evaluate the memory enhancer effect of pitavastatin and gemfibrozil compared to piracetam using Balb-c mice. Material and Methods: The escape latency period and time spent in the target quadrant were compared among four groups. Observations were analyzed by using paired t-tests, ANOVA, and post hoc Tukey’s test. Results: Pitavastatin (30mg/kg) and gemfibrozil (60mg/kg) significantly decline in the escape latency period. pitavastatin increased the total time spent in the target quadrant as compared to vehicle control in the Morris-water maze test (p< 0.01). However, gemfibrozil fails to show any increment in spending...
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Posted by admin on Mar 31, 2023 in |
Cancer is the malignant form of uncontrolled growth of cells and tissues. The drugs currently used for treating cancer can only increase the lifespan of a patient but cannot cure the disease due to their high toxicity and poor targeting of specific sites. Drugs developed from natural compounds are believed to combat those problems due to their ability to stimulate various physiological pathways with multiple targets. However, the use of natural compounds is restricted because of their physicochemical characteristics. This research article focuses on the use of Mangiferin as anti-cancer agent and its safe and effective delivery using nanotechnology. Mangiferin-loaded poly (lactic-co-glycolic acid) nanoparticles were prepared by single emulsion-solvent evaporation technique and evaluated for yield, particle size, morphology analysis, zeta-potential, drug loading, encapsulation efficiency, in-vitro drug release study and MTT assay on A549 cell line. Mangiferin was successfully loaded onto polymeric nanoparticles using a simple single emulsion solvent evaporation technique using PLGA as a polymer and PVA as a stabilizer with spherical narrow size distribution. Mangiferin-loaded PLGA NPs proved...
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Posted by admin on Mar 31, 2023 in |
Naringin is a flavonoid isolated from different citrus fruits like Grapefruit, Orange, Pomelo, Lemon, etc, which are commonly called local fruit. Naringin is found in the white spongy portion of citrus peel. Its content varies from 0.65 mg/gm in the mandarin peel to 14.40mg/gm in the grapefruit peel. Naringin is metabolized to the flavanone naringenin by the enzyme Naringinase present in the liver. It can be analyzed by using various analytical techniques such as HPLC, TLC, UV, HPTLC, mass spectroscopy, Liquid chromatography, chiral chromatography and LC/Mass spectroscopy. Naringin can act as an antioxidant and scavenge free radicals. Naringin mainly focuses on in-vitro and in-vivo animal studies showing its beneficial effects on cardioprotective, antioxidant, anti-inflammatory, antimicrobial, hypolipemiant, neurological, thermogenic, pulmonary disorders and antidiabetic. Naringin is also treated as a most promising treatment strategy against Covid-19 due to its antiviral and anti-inflammatory effects. Recently, Naringin has proven its activity in various molecular docking studies. Naringin keeps the body healthy against various illnesses and major lifestyle...
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Posted by admin on Mar 31, 2023 in |
Coronavirus is the deadliest disease globally, and no efficient treatment has been established. The prognosis of illnesses caused by virus outbreaks is a severe medical process that demands a large amount of accurate data comprised of many factors to produce an appropriate analysis. We have researched and analyzed the factors that might affect humans and increase the chances of infection with Covid-19. One of them is the breathing symptoms directly affecting the lungs and chest. To analyze the factors, we have used traditional machine learning and deep learning models to classify and predict the chances of a human getting infected with different SARs variants. So, we used a Cyclic Generative Adversarial Networks (CGANs) model, Convolutional Neural Networks (CNNs), to generate, predict and classify the Covid-19 occurrence through chest x-rays and other attributes like Diabetes and Hypertension. These models are deployed to the cloud with appropriate hypermeter tuning to use the result in real time. This paper proposed CGANs and CNNs, which automatically use ADAM, RMSprop and Bayesian optimizers to identify...
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Posted by admin on Mar 31, 2023 in |
Misuse and overuse of antibiotics, multi drug resistance bacterial strains have emerged as silent pandemic. Lately, antibiofilm treatment approach using natural compounds have ascended as an alternate strategy to overcome the issue. In this study, the inhibitory effect of bark and leaf extracts of Acacia ferruginea against a model bacterium, Chromobacterium violaceum was evaluated. Results revealed that A. ferruginea extract has a significant inhibitory effect on virulence determinants (biofilm and violacein productions) with no effect on growth.19 unrelated compounds were identified from GC-MS analysis. In molecular docking studies, six hits were found to have potential interactions with CviR, a quorum sensing regulatory protein. One of the major hits, severin, formed H-bond with Ser155 and Asp 97 with highest Gscore -8.862 when compared to the standard ligand, C6HSL (-7.052). Our data showed that the leaf and bark ethanolic extracts of A. ferruginea will be a promising synergetic remedy against bacterial infections from natural sources by curbing quorum...
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