Browsing by Author "Kumar M."

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Coumarin Derivatives as Anticancer Agents for Lung Cancer Therapy: A Review
(NLM (Medline), 2018) Kumar M.; Singla R.; Dandriyal J.; Jaitak V.
BACKGROUND: The prevalence of lung cancer is 14% among the newly diagnosed cancer cases worldwide. Currently, the number of drugs that are in clinical practice is having a high prevalence of side effect and multidrug resistance. Researchers have made an attempt to expand a suitable anticancer drug that has no MDR and side effect. OBJECTIVE: Extensive exploration of Coumarin derivatives as a potent inhibitor of variety of proteins including EGFR, tyrosine kinase, ERK1/2, PI3K, HSP 90, Bax, STAT proteins, NF-?B and telomerase which have been associated with lung cancer. METHOD: The recent literature was surveyed utilizing the online resources and databases including scifinder, pubchem, EMBL, scopus and google scholar. RESULTS: Upon analyzing the structure-activity relationship, it was found that N-aryl carboxamide, phenyl substitution at the C-3 position and 1,2,3- triazolyl, trihydroxystilbene, amino substitution at the C-4 position of the coumarin nucleus were the most effective in targeting lung cancer. CONCLUSION: This review is a collaborative and extensive compilation of synthetic strategies, mechanism of action, and the structure-activity relationship thereof for the management of lung carcinoma. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
Improved Image Fusion of Colored and Grayscale Medical Images Based on Intuitionistic Fuzzy Sets
(Taylor and Francis Ltd., 2018) Kumar M.; Kaur A.; Amita
Image fusion is the process of combining the properties of two images into one single image that will show the features of both the images. There are various methods available in the literature to fuse the images. In this paper, an intuitionistic fuzzy logic-based image fusion approach has been implemented for medical images that firstly suppresses the noise and enhances the input images, and merges them efficiently in Hue-Saturation-Intensity domain. Here, enhancement is included because these input images are not always well contrasted and may contain some noise due to the inherent properties of the modalities used for capturing the images. The intuitionistic fuzzy sets are incorporated to handle uncertainties that are often due to vagueness and ambiguity. The results certify that this method significantly improves the output fused image than the image obtained by existing technique both visually and metrically.
Molecular mechanisms of action of genistein in cancer: Recent advances
(Frontiers Media S.A., 2019) Tuli H.S.; Tuorkey M.J.; Thakral F.; Sak K.; Kumar M.; Sharma A.K.; Sharma U.; Jain A.; Aggarwal V.; Bishayee A.
Background: Genistein is one among the several other known isoflavones that is found in different soybeans and soy products. The chemical name of genistein is 4?,5,7-trihydroxyisoflavone. Genistein has drawn attention of scientific community because of its potential beneficial effects on human grave diseases, such as cancer. Mechanistic insight of genistein reveals its potential for apoptotic induction, cell cycle arrest, as well as antiangiogenic, antimetastatic, and anti-inflammatory effects. Objective: The purpose of this review is to unravel and analyze various molecular mechanisms of genistein in diverse cancer models. Data sources: English language literature was searched using various databases, such as PubMed, ScienceDirect, EBOSCOhost, Scopus, Web of Science, and Cochrane Library. Key words used in various combinations included genistein, cancer, anticancer, molecular mechanisms prevention, treatment, in vivo, in vitro, and clinical studies. Study selection: Study selection was carried out strictly in accordance with the statement of Preferred Reporting Items for Systematic Reviews and Meta-analyses. Data extraction: Four authors independently carried out the extraction of articles. Data synthesis: One hundred one papers were found suitable for use in this review. Conclusion: This review covers various molecular interactions of genistein with various cellular targets in cancer models. It will help the scientific community understand genistein and cancer biology and will provoke them to design novel therapeutic strategies.
Synthesis, Biological Evaluation and Molecular Modeling Studies of Propargyl-Containing 2,4,6-Trisubstituted Pyrimidine Derivatives as Potential Anti-Parkinson Agents
(John Wiley and Sons Ltd, 2018) Kumar B.; Kumar M.; Dwivedi A.R.; Kumar V.
Monoamine oxidase B (MAO‐B) inhibitors are potential drug candidates for the treatment of various neurological disorders including Parkinson's disease. A total of 20 new propargyl‐containing 2,4,6‐trisubstituted pyrimidine derivatives were synthesized and screened for MAO inhibition using Amplex Red assays. All the synthesized compounds were found to be reversible and selective inhibitors of the MAO‐B isoform at sub‐micromolar concentrations. MVB3 was the most potent MAO‐B inhibitor with an IC50 value of 0.38±0.02 μμ , whereas MVB6 (IC50=0.51±0.04 μμ ) and MVB16 (IC50=0.48±0.06 μμ ) were the most selective for MAO‐B with a selectivity index of more than 100‐fold. In cytotoxic studies, these compounds were found to be nontoxic to human neuroblastoma SH‐SY5Y cells at concentrations of 25 μm . MVB6 was found to decrease the intracellular level of reactive oxygen species to 68 % at 10 μm concentration, whereas other compounds did not produce significant changes in reactive oxygen species levels. In molecular modeling studies, MVB3 displayed strong binding affinity for the MAO‐B isoform with a dock score of −10.45, in agreement with the observed activity. All the compounds fitted well in the hydrophobic cavity of MAO‐B. Thus, propargyl‐substituted pyrimidine derivatives can be promising leads in the development of potent, selective and reversible MAO‐B inhibitors for the treatment of Parkinson's disease.