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Repression of Polyol Pathway Activity by Hemidesmus indicus *** *** Root Extract,an Aldose Reductase Inhibitor:An In Silico and Ex Vivo Study

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Natural Products and Bioprospecting 2021年第3期11卷 315-324页

作者： Hajira Banu Haroon vijaybhanu perumalsamy Gouri Nair Dhanusha Koppal Anand Rajitha Kolli Joel Monichen Kanchan Prabha Department of Pharmacology Faculty of PharmacyM S Ramaiah University of Applied SciencesGnanagangothri CampusNew BEL RoadBengaluruKarnataka 560054India Department of Pharmaceutical Chemistry Faculty of PharmacyM S Ramaiah University of Applied SciencesGnanagangothri CampusNew BEL RoadBengaluruKarnataka 560054India Department of Pharmaceutics Faculty of PharmacyM S Ramaiah University of Applied SciencesGnanagangothri CampusNew BEL RoadBengaluruKarnataka 560054India

Development of diabetic cataract is mainly associated with the accumulation of sorbitol via the polyol pathway through the action of Aldose reductase(AR).Hence,AR inhibitors are considered as potential agents in the management of diabetic *** study explored the AR inhibition potential of Hemidesmus indicus *** root extract by in silico and ex vivo *** docking studies(Auto Dock tool)betweenβ-sitosterol,hemidesminine,hemidesmin-1,hemidesmin-2,and AR showed thatβ-sitosterol(−10.2 kcal/mol)and hemidesmin-2(−8.07 kcal/mol)had the strongest affinity to AR *** vivo studies were performed by incubating isolated goat lenses in artificial aqueous humor using galactose(55 mM)as cataract inducing agent at room temperature(pH 7.8)for 72 *** treatment with Vitamin E acetate−100μg/mL(standard)and test extract(500 and 1000μg/mL)separately,the estimation of biochemical markers showed inhibition of lens AR activity and decreased sorbitol ***,extract also normalized the levels of antioxidant markers like SOD,CAT,*** results showed evidence that *** *** root was able to prevent cataract by prevention of opacification and formation of polyols that underlines its potential as a possible therapeutic agent against diabetic complications.

关键词： Hemidesmus indicus var.pubescens Aldose reductase Polyol pathway Diabetic cataract

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Leveraging Blockchain with Optimal Deep Learning-Based Drug Supply Chain Management for Pharmaceutical Industries

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Computers, Materials & Continua 2023年第11期77卷 2341-2357页

作者： Shanthi perumalsamy Venkatesh Kaliyamurthy Department of Networking and Communications School of ComputingSRM Institute of Science and TechnologyKattankulathurTamil Nadu603203India

Due to its complexity and involvement of numerous stakeholders,the pharmaceutical supply chain presents many challenges that companies must overcome to deliver necessary medications to patients *** pharmaceutical supply chain poses different challenging issues,encompasses supply chain visibility,cold-chain shipping,drug counterfeiting,and rising prescription drug prices,which can considerably surge out-of-pocket patient ***(BC)offers the technical base for such a scheme,as it could track legitimate drugs and avoid fake *** designers presented the procedure of BC with fabric for creating a secured drug supplychain management(DSCM)*** this motivation,the study presents a new blockchain with optimal deep learning-enabled DSCM and recommendation scheme(BCODL-DSCMRS)for Pharmaceutical ***,Hyperledger fabric is used for DSC management,enabling effective tracking processes in the smart pharmaceutical *** addition,a hybrid deep belief network(HDBN)model is used to suggest the best or top-rated medicines to healthcare providers and *** spotted hyena optimizer(SHO)algorithm is used to optimize the performance of the HDBN *** design of the HSO algorithm for tuning the HDBN model demonstrates the novelty of the *** presented model is tested on the UCI repository’s open-access drug reviews database.

关键词： Drug supply chain pharmaceutical industry deep learning blockchain hyper ledger fabric security drug recommendation

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Clinical exome sequencing facilitates the understanding of genetic heterogeneity in Leber congenital amaurosis patients with variable phenotype in southern India

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Eye and Vision 2021年第1期8卷 192-202页

作者： Sriee Viswarubhiny Rupa Anjanamurthy Ayyasamy Vanniarajan Devarajan Bharanidharan Vijayalakshmi perumalsamy Periasamy Sundaresan Department of Molecular Genetics Aravind Medical Research FoundationAravind Eye HospitalMaduraiTamil Nadu 625020India Department of Molecular Biology Aravind Medical Research Foundation-Affiliated to Alagappa UniversityKaraikudiTamil NaduIndia Department of Paediatric and Adult strabismus Aravind Eye HospitalMaduraiTamil NaduIndia Department of Bioinformatics Aravind Medical Research FoundationAravind Eye HospitalMaduraiTamil NaduIndia

Background:Leber congenital amaurosis(LCA),primarily characterized by retinal degeneration is the most severe form of inherited retinal dystrophy(IRD)responsible for congenital *** presence of phenotypic heterogeneity makes the diagnosis of LCA challenging,especially in the absence of pronounced disease pathognomonic,yet it can be well comprehended by employing molecular ***,the present study aimed to reveal the causative mutations in ten LCA patients with variable phenotypes using clinical exome sequencing(CES).Methods:CES was performed in ten unrelated LCA *** information and family history of all patients were obtained to make a meaningful *** clinical exome data was analyzed and prioritized using a bioinformatics pipeline to identify mutations,which was further validated by Sanger *** analysis was also performed on available family ***:CES led to the identification of causative mutations in nine LCA *** patients harbored a mutation in six LCA candidate genes,including RPE65,LCA5(n=2),CRX,PRPH2,CEP290,and ALMS1,while two patients possess a mutation in IFT80 and RP1,known to cause other *** novel mutations in LCA5(c.1823del),CRX(c.848del)and CEP290(c.2483G>T)were *** current study reports for the first time,a mutation in PRPH2,CEP290,and ALMS1 from the Indian ***,we observed a novel association of LCA phenotype with IFT80 known to cause Jeune *** on the genetic finding,the patient AS09,who harbored a mutation in the RP1 gene,was re-diagnosed with early-onset retinitis ***:In conclusion,the results underline the importance of CES in clinically diagnosed LCA patients with variable *** correlation between mutations in candidate genes and clinical phenotypes,helps to refine the clinical ***,molecular evaluation with a larger cohort of LCA patients is needed for better understa

关键词： Leber congenital amaurosis Clinical exome sequencing Southern India Molecular diagnosis Genotype-phenotype correlation

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Sleep spindles detection from human sleep EEG signals using autoregressive (AR) model: a surrogate data approach

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Journal of Biomedical Science and Engineering 2009年第5期2卷 294-303页

作者： Venkatakrishnan perumalsamy Sangeetha Sankaranarayanan Sukanesh Rajamony Department of Electrical and Electronics Engineering Sethu Instituite of Technology Madurai India Department of Electronics and Communication Engineering Thiagarajar College of Engineering Madurai India Department of Information Technology Thiagarajar College of Engineering Madurai India

A new algorithm for the detection of sleep spindles from human sleep EEG with surrogate data approach is presented. Surrogate data ap-proach is the state of the art technique for nonlinear spectral analysis. In this paper, by developing autoregressive (AR) models on short segment of the EEG is described as a superposition of harmonic oscillating with damping and frequency in time. Sleep spindle events are detected, whenever the damping of one or more frequencies falls below a prede-fined threshold. Based on a surrogate data, a method was proposed to test the hypothesis that the original data were generated by a linear Gaussian process. This method was tested on human sleep EEG signal. The algorithm work well for the detection of sleep spindles and in addition the analysis reveals the alpha and beta band activities in EEG. The rigorous statistical framework proves essential in establishing these results.

关键词： AR Model LPC Sleep Spindles Surrogate Data

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Nanoparticles of In2O3/SnO2 (90/10) and (80/20) at Two Different Proportions and Its Properties

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Open Journal of Metal 2013年第2期3卷 1-7页

作者： Abbas Ayeshamariam Vinodh Sundar Vidhya Thangavel Sivakumar Ramasamy Mahendran Ramasamy perumalsamy Nallasamy Sethupathy Muthurulandi Jayachandran Department of Chemistry Chendhuran College of Engineering and Technology Pudukottai India Department of Electronics Government Arts College Kulithalai India Department of Electronics RVS College of Arts and Science Sulur Coimbatore India Department of Physics Arignar Anna Government Arts College Namakkal India Department of Physics Khadir Mohideen College Adirampattinam India Department of Physics Sir Theagaraya College Higher Secondary School Chennai India Electro Chemical Material Science Division (CSIR) Central Electro Chemical Research Institute Karaikudi India

ITO nanoparticles were obtained by combustion reaction of urea as fuel. The gel form structures were fired at 350°C in furnace for 20 min to yield powdery products and these products were calcined to five different temperatures from 100°C to 500°C for an hour to yield ITO powders. From the scanning electron microscopy (SEM) photographs and particle size analysis the average sizes of the cubic particle of powders are found to be less than 15 nm and less than 20 nm respectively. The ratio of doping concentration In/Sn is 90/10 and 80/20. The X-ray diffraction (XRD) data were evaluated by Scherer equation for the estimation of the average crystal size of the powders (less than 20 nm) for 90/10 and (less than 25 nm) for 80/20. The synthesized ITO powder characterized by XRD, UV-Vis-NIR and PL shows high specific surface area and possesses small primary crystallite size and good optical band gap.

关键词： XRD UV-Vis-NIR Photoluminescence and SEM

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