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1.
Mol Biol Rep ; 48(8): 5857-5872, 2021 Aug.
Article in English | MEDLINE | ID: mdl-34302266

ABSTRACT

BACKGROUND: Plant-derived phytochemicals such as flavonoids have been explored to be powerful antioxidants that protect against oxidative stress-related diseases. In the present study, Morin, a flavonoid compound was studied for its antioxidant and antidiabetic properties in relation to oxidative stress in insulin resistant models conducted in rat skeletal muscle L6 cell line model. METHODS: Evaluation of antioxidant property of morin was assayed using in vitro methods such as cell viability by MTT assay, estimation of SOD and CAT activity and NO scavenging activity. The anti-oxidative nature of morin on L6 cell line was conducted by the DCF-DA fluorescent activity. Glucose uptake in morin treated L6 myotubes are accessed by 2-NBDG assay in the presence or absence of IRTK and PI3K inhibitors. Further glycogen content estimation due to the morin treatment in L6 myotubes was performed. Antioxidant and insulin signaling pathway gene expression was examined over RT-PCR analysis. RESULTS: Morin has a negligible cytotoxic effect at doses of 20, 40, 60, 80, and 100 µM concentration according to cell viability assay. Morin revealed that the levels of the antioxidant enzymes SOD and CAT in L6 myotubes had increased. When the cells were subjected to the nitro blue tetrazolium assay, morin lowered reactive oxygen species (ROS) formation at 60 µM concentration displaying 39% ROS generation in oxidative stress condition. Lesser NO activity and a drop in green fluorescence emission in the DCFDA assay, demonstrating its anti-oxidative nature by reducing ROS formation in vitro. Glucose uptake by the L6 myotube cells using 2-NBDG, and with IRTK and PI3K inhibitors (genistein and wortmannin) showed a significant increase in glucose uptake by the cells which shows the up regulated GLUT-4 movement from intracellular pool to the plasma membrane. Morin (60 µM) significantly enhanced the expression of antioxidant genes GPx, GST and GCS as well as insulin signalling genes IRTK, IRS-1, PI3K, GLUT-4, GSK-3ß and GS in L6 myotubes treated cells. CONCLUSION: Morin has the ability to act as an anti-oxidant by lowering ROS levels and demonstrating insulin mimetic activity by reversing insulin resistance associated with oxidative stress.


Subject(s)
Flavonoids/pharmacology , Insulin/metabolism , Muscle Fibers, Skeletal/metabolism , Animals , Antioxidants/pharmacology , Cell Line , Cell Survival/drug effects , Flavonoids/metabolism , Glucose/metabolism , Glycogen/metabolism , Glycogen Synthase Kinase 3 beta/metabolism , Hypoglycemic Agents/pharmacology , Insulin Resistance/physiology , Muscle, Skeletal/metabolism , Myoblasts/metabolism , Oxidative Stress/drug effects , Oxidative Stress/physiology , Phosphatidylinositol 3-Kinases/metabolism , Rats , Reactive Oxygen Species/metabolism , Signal Transduction/drug effects
2.
Curr Top Med Chem ; 20(19): 1761-1770, 2020.
Article in English | MEDLINE | ID: mdl-32568020

ABSTRACT

INTRODUCTION: Structure-based drug design is a wide area of identification of selective inhibitors of a target of interest. From the time of the availability of three dimensional structure of the drug targets, mostly the proteins, many computational methods had emerged to address the challenges associated with drug design process. Particularly, drug-likeness, druggability of the target protein, specificity, off-target binding, etc., are the important factors to determine the efficacy of new chemical inhibitors. OBJECTIVE: The aim of the present research was to improve the drug design strategies in field of design of novel inhibitors with respect to specific target protein in disease pathology. Recent statistical machine learning methods applied for structural and chemical data analysis had been elaborated in current drug design field. METHODS: As the size of the biological data shows a continuous growth, new computational algorithms and analytical methods are being developed with different objectives. It covers a wide area, from protein structure prediction to drug toxicity prediction. Moreover, the computational methods are available to analyze the structural data of varying types and sizes of which, most of the semi-empirical force field and quantum mechanics based molecular modeling methods showed a proven accuracy towards analysing small structural data sets while statistics based methods such as machine learning, QSAR and other specific data analytics methods are robust for large scale data analysis. RESULTS: In this present study, the background has been reviewed for new drug lead development with respect specific drug targets of interest. Overall approach of both the extreme methods were also used to demonstrate with the plausible outcome. CONCLUSION: In this chapter, we focus on the recent developments in the structure-based drug design using advanced molecular modeling techniques in conjunction with machine learning and other data analytics methods. Natural products based drug discovery is also discussed.


Subject(s)
Biological Products/chemistry , Drug Design , Drug Discovery , Pharmaceutical Preparations/chemistry , Humans , Machine Learning , Models, Molecular
3.
Fish Shellfish Immunol ; 99: 368-378, 2020 Apr.
Article in English | MEDLINE | ID: mdl-32081807

ABSTRACT

In this study, we have evaluated bioinformatics characterization and antimicrobial role of two piscidin (Pi) peptide identified from the established transcriptome of striped murrel Channa striatus (Cs). The identified CsPi cDNA contains 256 nucleotides encode a protein with 70 amino acids in length which has two antimicrobial peptides and named CsRG12 and CsLC11. The gene expression analysis with various immune stimulants indicated an induced expression pattern of CsPi. Antibiogram showed that CsRG12 and CsLC11 was active against Staphylococcus aureus ATCC 33592, a major multi-drug resistant (MDR) bacterial pathogen and Bacillus cereus ATCC 2106. The minimum inhibitory concentration (MIC) and antibiofilm assays were conducted to observe the activity of pathogenic bacteria with these derived antimicrobial peptides. Flow cytometry analysis noticed that the CsRG12 and CsLC11 disrupt the membrane formation of S. aureus and B. cereus, which was further assured by scanning electron microscopic (SEM) images that bleb formation leads to disruption around the bacterial membrane. Overall, it is reported that CsPi is involved in innate immunity as the gene expression plays a remarkable role in up and down regulation during infection. In addition, the involvement of peptides in antibiofilm formation and bacterial membrane disruption support its immune character. This study leads to a possibility for the development of therapeutics in aquaculture biotechnology.


Subject(s)
Antimicrobial Cationic Peptides/pharmacology , Bacillus cereus/drug effects , Fish Proteins/pharmacology , Perciformes/metabolism , Staphylococcus aureus/drug effects , Animals , Antimicrobial Cationic Peptides/chemistry , Antimicrobial Cationic Peptides/metabolism , Biofilms/drug effects , Biofilms/growth & development , Cell Survival/drug effects , Erythrocytes/drug effects , Fish Proteins/metabolism , Leukocytes/drug effects , Microbial Sensitivity Tests
4.
Microb Pathog ; 102: 173-183, 2017 Jan.
Article in English | MEDLINE | ID: mdl-27916691

ABSTRACT

Botanical-mediated synthesis of nanomaterials is currently emerging as a cheap and eco-friendly nanotechnology, since it does not involve the use of toxic chemicals. In the present study, we focused on the synthesis of gold nanoparticles using the aqueous peel extract of Musa paradisiaca (MPPE-AuNPs) following a facile and cheap fabrication process. The green synthesized MPPE-AuNPs were bio-physically characterized by UV-Vis spectroscopy, FTIR, XRD, TEM, Zeta potential analysis and EDX. MPPE-AuNPs were crystalline in nature, spherical to triangular in shape, with particle size ranging within 50 nm. The biofilm inhibition activity of MPPE-AuNPs was higher against multiple antibiotic resistant (MARS) Gram-positive Enterococcus faecalis. Light and confocal laser scanning microscopic observations evidenced that the MPPE-AuNPs effectively inhibited the biofilm of E. faecalis when tested at 100 µg mL-1. Cytotoxicity studies demonstrated that MPPE-AuNPs were effective in inhibiting the viability of human A549 lung cancer cells at higher concentrations of 100 µg mL-1. The morphological changes in the MPPE-AuNPs treated A549 lung cancer cells were visualized under phase-contrast microscopy. Furthermore, the ecotoxicity of MPPE-AuNPs on the freshwater micro crustacean Ceriodaphnia cornuta were evaluated. Notably, no mortality was recorded in MPPE-AuNPs treated C. cornuta at 250 µg mL-1. This study concludes that MPPE-AuNPs are non-toxic, eco-friendly and act as a multipurpose potential biomaterial for biomedical applications.


Subject(s)
Biofilms/drug effects , Drug Resistance, Multiple, Bacterial/drug effects , Enterococcus faecalis/drug effects , Gold , Metal Nanoparticles/administration & dosage , Musa/chemistry , Plant Extracts/pharmacology , A549 Cells , Anti-Bacterial Agents/chemistry , Anti-Bacterial Agents/pharmacology , Antineoplastic Agents/chemistry , Antineoplastic Agents/pharmacology , Cell Survival/drug effects , Gold/chemistry , Green Chemistry Technology , Humans , Hydrophobic and Hydrophilic Interactions , Metal Nanoparticles/chemistry , Metal Nanoparticles/ultrastructure , Microbial Sensitivity Tests , Phytochemicals/chemistry , Phytochemicals/pharmacology , Plant Extracts/chemistry , Spectrum Analysis
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