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Phosphorus Starvation Tolerance in Rice Through Combined Physiological,Biochemical,and Proteome Analyses

Rice science 2023年第6期30卷 613-631页

作者： prathap v Suresh KUMAR Nand Lal MEENA Chirag MAHESHWARI Monika DALAL Aruna TYAGI Division of Biochemistry Indian Council of Agricultural Research-Indian Agricultural Research InstituteNew Delhi 110012India Division of Germplasm Evaluation National Bureau of Plant Genetic ResourcesNew Delhi 110012India National Institute for Plant Biotechnology New Delhi 110012India

Phosphorus(P) deficiency limits the growth,development,and productivity of *** better understand the underlying mechanisms in P-deficiency tolerance and the role of Pup1 QTL in enhancing P use efficiency(PUE) for the development of P-efficient rice cultivars,a pair of contrasting rice genotypes(Pusa-44 and NIL-23) was applied to investigate the morpho-physio-biochemical and proteomic variation under P-starvation *** rice genotypes were grown hydroponically in a PusaRich medium with adequate P(16 mg/kg,+P) or without P(0 mg/kg,-P) for 30 d.P-starvation manifested a significant reductions in root and shoot biomass,shoot length,leaf area,total chlorophyll,and P,nitrogen and starch contents,as well as protein kinase *** stress increased root-to-shoot biomass ratio,root length,sucrose content,and acid phosphatase activity,particularly in the P-tolerant genotype(NIL-23).Comparative proteome analysis revealed several P metabolism-associated proteins(including OsCDPKs,OsMAPKs,OsCPKs,OsLecRK2,and OsSAPks) to be expressed in the shoot of NIL-23,indicating that multiple protein kinases were involved in P-starvation/deficiency ***,the up-regulated expression of OsrbcL,OsABCG32,OsSUS5,OsPoll-like B,and ClpC2 proteins in the shoot,and OsACA9,OsACA8,OsSPS2F,OsPP2C15,and OsBiP3 in the root of NIL-23,indicated their role in P-starvation stress control through the Pup1 QTL. Thus,our findings indicated that-P stress-responsive proteins,in conjunction with morpho-physio-biochemical modulations,improved PUE and made NIL-23 a P-deficiency tolerant genotype due to the introgression of the Pup1 QTL in the Pusa-44 background.

关键词： phosphorus deficiency Pup1 QTL protein kinase acid phosphatase proteome analysis rice

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Asiaticoside ameliorates type 2 diabetes mellitus in rats by modulating carbohydrate metabolism and regulating insulin signaling

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Asian Pacific Journal of Tropical Biomedicine 2024年第9期14卷 401-409页

作者： B.prathap v.Satyanarayanan K.Duraipandian P.Subashree Department of Pharmacology Karpaga Vinayaga Institute of Medical Sciences and Research CenterMaduranthakam 603308Tamil NaduIndia Department of Pharmacology SRM Medical College Hospital and Research CenterKattankulathur 603211Tamil NaduIndia Department of Anatomy Karpaga Vinayaga Institute of Medical Sciences and Research CenterMaduranthakam 603308Tamil NaduIndia Department of Ophthalmology Karpaga Vinayaga Institute of Medical Sciences and Research CenterMaduranthakam 603308Tamil NaduIndia

Objective:To evaluate the effect of asiaticoside on streptozotocin(STZ)and nicotinamide(NAD)-induced carbohydrate metabolism abnormalities and deregulated insulin signaling pathways in ***:Asiaticoside(50 and 100 mg/kg body weight)was administered to STZ-NAD-induced diabetic rats for 45 days,and its effects on hyperglycaemic,carbohydrate metabolic,and insulin signaling pathway markers were ***:Asiaticoside increased insulin production,lowered blood glucose levels,and enhanced glycolysis by improving hexokinase activity and suppressing glucose-6-phosphatase and fructose-1,6-bisphosphatase *** in glycogen metabolism were mitigated by increasing glycogen synthase activity and gluconeogenesis was decreased by decreasing glycogen phosphorylase ***,asiaticoside upregulated the mRNA expressions of IRS-1,IRS-2,and GLUT4 in STZ-NAD-induced diabetic rats and restored the beta cell morphology to ***:Asiaticoside has the potential to ameliorate type 2 diabetes by improving glycolysis,gluconeogenesis,and insulin signaling pathways.

关键词： Asiaticoside Type 2 diabetes mellitus Metabolic disorders Carbohydrate metabolism Insulin signaling

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Deep Learning Based Intelligent and Sustainable Smart Healthcare Application in Cloud-Centric IoT

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Computers, Materials & Continua 2021年第2期66卷 1987-2003页

作者： K.v.Praveen P.M.Joe prathap S.Dhanasekaran I.S.Hephzi Punithavathi P.Duraipandy Irina v.Pustokhina Denis A.Pustokhin Department of Information Technology St.Peters College of Engineering and TechnologyChennai600054India Department of Information Technology RMD Engineering CollegeChennai601206India Department of Computer Science and Engineering Kalasalingam Academy of Research and EducationKrishnankoil626128India Department of Computer Science and Engineering Sphoorthy Engineering CollegeHyderabad501510India Department of Electrical and Electronics Engineering J B Institute of Engineering and TechnologyHyderabad500075India Department of Entrepreneurship and Logistics Plekhanov Russian University of EconomicsMoscow117997Russia Department of Logistics State University of ManagementMoscow109542Russia

Recent developments in information technology can be attributed to the development of smart cities which act as a key enabler for next-generation intelligent systems to improve security,reliability,and *** healthcare sector becomes advantageous and offers different ways to manage patient information in order to improve healthcare service *** futuristic sustainable computing solutions in e-healthcare applications depend upon Internet of Things(IoT)in cloud computing *** energy consumed during data communication from IoT devices to cloud server is significantly high and it needs to be reduced with the help of clustering *** current research article presents a new Oppositional Glowworm Swarm Optimization(OGSO)algorithmbased clustering with Deep Neural Network(DNN)called OGSO-DNN model for distributed healthcare *** OGSO algorithm was applied in this study to select the Cluster Heads(CHs)from the available IoT *** selected CHs transmit the data to cloud server,which then executes DNN-based classification process for healthcare *** extensive simulation analysis was carried out utilizing a student perspective healthcare data generated from UCI repository and IoT devices to forecast the severity level of the disease among *** proposed OGSO-DNN model outperformed previous methods by attaining the maximum average sensitivity of 96.956%,specificity of 95.076%,the accuracy of 95.764%and F-score value of 96.888%.

关键词： IoT devices healthcare deep learning energy efficiency glowworm swarm optimization

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用系统方法和同一个健康理念研究种间传染病

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中国循证医学杂志 2011年第8期11卷 845-848页

作者： G.v.Asokan vanitha Asokan Zbys Fedorowicz prathap Tharyan 单娟(译) 李幼平(审校) 巴林卫生部健康科学学院巴林麦纳麦美国教会医院巴林卫生部英国Cochrane中心巴林分中心印度韦洛尔基督教医学院南亚Cochrane中心/网络不详

世界卫生组织估计,全球每年5700万例死亡中有25%是由微生物引起。研究报道有1415种传染性生物可使人类致病。种间传染病占所有已知传染性疾病的61%,但人类作为初始病原者仅占3%。在175个被认为是新的传染性生物中,有75%可致人畜共染。... 详细信息

世界卫生组织估计,全球每年5700万例死亡中有25%是由微生物引起。研究报道有1415种传染性生物可使人类致病。种间传染病占所有已知传染性疾病的61%,但人类作为初始病原者仅占3%。在175个被认为是新的传染性生物中,有75%可致人畜共染。尽管不同物种间病因和治疗方法相似,但种间传染病及其对人类和动物健康的影响并未以整合的方式监测、预防和治疗。种间传染病中,一个药物的有效性和耐药在同一种系的不同物种间彼此相似。因此,在同一自然环境下包含多个物种的随机对照试验有效、可靠,并可减少所需志愿者的人数。"同一个健康"基于系统方法和多学科的共同努力,地方、国家和全球协作,以达到人、动物和环境的最佳健康状态。系统评价和Meta分析迄今一直是独立和学科导向的。必须搜集种间传染病的诊断准确性和(药物)治疗有效性的(研究)结果,因为临床前实验结果来自于实验动物。Cochrane协作网是建立种间传染病系统评价小组平台的选择之一,通过无偏倚的诊断实验和药物效能(结果)的Meta分析以支撑系统方法与同一个健康(理念)。

关键词：种间传染病同一个健康系统方法

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