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4篇 您的检索式:作者名="D.Srikanth"
    题名 作者 年代 出处 被引量
1FLOW OF MICROPOLAR FLUID THROUGH CATHETERIZED ARTERY -- A MATHEMATICAL MODEL显示文摘D.SRINIVASACHARYA D.SRIKANTH 2012International Journal of Biomathematics2012,5,2:1
2L-Norvaline, a new therapeutic agent against Alzheimer’s disease显示文摘Growing evidence highlights the role of arginase activity in the manifestation of Alzheimer’s disease(AD).Upregulation of arginase was shown to contribute to neurodegeneration.Regulation of arginase activity appears to be a promising approach for interfering with the pathogenesis of AD.Therefore,the enzyme represents a novel therapeutic target.In this study,we administered an arginase inhibitor,L-norvaline(250 mg/L),for 2.5 months to a triple-transgenic model(3×Tg-AD)harboring PS1M146V,APPSwe,and tauP301L transgenes.Then,the neuroprotective effects of L-norvaline were evaluated using immunohistochemistry,proteomics,and quantitative polymerase chain reaction assays.Finally,we identified the biological pathways activated by the treatment.Remarkably,L-norvaline treatment reverses the cognitive decline in AD mice.The treatment is neuroprotective as indicated by reduced beta-amyloidosis,alleviated microgliosis,and reduced tumor necrosis factor transcription levels.Moreover,elevated levels of neuroplasticity related postsynaptic density protein 95 were detected in the hippocampi of mice treated with L-norvaline.Furthermore,we disclosed several biological pathways,which were involved in cell survival and neuroplasticity and were activated by the treatment.Through these modes of action,L-norvaline has the potential to improve the symptoms of AD and even interferes with its pathogenesis.As such,L-norvaline is a promising neuroprotective molecule that might be tailored for the treatment of a range of neurodegenerative disorders.The study was approved by the Bar-Ilan University Animal Care and Use Committee(approval No.82-10-2017)on October 1,2017.Baruh Polis Kolluru D.Srikanth Vyacheslav Gurevich Hava Gil-Henn Abraham O.Samson 2019Neural Regeneration Research2019,14,9:1
3Mathematical modelling of couple stresses on fluid flow in constricted tapered artery in presence of slip velocity-effects of catheter显示文摘This paper explores the mathematical model for couple stress fluid flow through an annular region. The above model is used for studying the blood flow between the clogged(stenotic) artery and the catheter. The asymmetric nature of the stenosis is considered. The closed form expressions for the physiological parameters such as impedance and shear stress at the wall are obtained. The effects of various geometric parameters and the parameters arising out of the fluid considered are discussed by considering the slip velocity and tapering angle. The study of the above model is very significant as it has direct applications in the treatment of cardiovascular diseases.J.V.R.REDDY D.SRIKANTH S.K.MURTHY 2014Applied Mathematics and Mechanics(English Edition)2014,35,8:0
4Couple stress nanofluid flow through a bifurcated artery—Application of catheterization process显示文摘In this article,we are exploring the hemodynamics of nanofluid,flowing through a bifurcated artery with atherosclerosis in the presence of a catheter.For treating obstruction in the artery,one can use the catheter whose outer surface is carrying the drug coated with nano-particles.The resultant solvent is considered as blood nano-fluid.Blood being a complex fluid,is modeled by couple stress fluid.In the presence of nano-particles,the temperature and the concentration distribution are understood in a bifurcated stenotic artery.The concluded mathematical model is governed by coupled non-linear equations,and are solved by using the homotopy perturbation method.Consequently,we have explored is the effects of fluid and the embedded geometric parameters on the hemodynamics characteristics.It is also realized that high wall shear stress exists for couple stress nano-fluid when compared to Newtonian nano-fluid.which is computed at a location corresponding to maximum constriction(z=12.5)of the artery.KM Surabhi Arpitha Ravikanti D.Srikanth D.Srinivasacharya 2021Applied Mathematics(A Journal of Chinese Universities)2021,36,4:0
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