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Anti-inflammatory pathways and alcoholic liver disease: Role of an adiponectin/interleukin-10/heme oxygenase-1 pathway

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World Journal of Gastroenterology 2010年第11期16卷 1330-1336页

作者： palash mandal Michele T Pritchard Laura E Nagy Department of Pathobiology and Gastroenterology Cleveland ClinicLerner Research Institute/NE-40

The development of alcoholic liver disease (ALD) is a complex process involving both the parenchymal and non-parenchymal cells in the liver. Enhanced inflammation in the liver during ethanol exposure is an important contributor to injury. Kupffer cells, the resident macrophages in liver, are particularly critical to the onset of ethanol-induced liver injury. Chronic ethanol exposure sensitizes Kupffer cells to activation by lipopolysaccharide via Toll-like receptor 4. This sensitization enhances production of inflammatory mediators, such as tumor necrosis factor-α and reactive oxygen species, that contribute to hepatocyte dysfunction, necrosis, apoptosis, and fibrosis. Impaired resolution of the inflammatory process probably also contributes to ALD. The resolution of inflammation is an active, highly coordinated response that can potentially be manipulated via therapeutic interventions to treat chronic inflammatory diseases. Recent studies have identif ied an adiponectin/interleukin-10/heme oxygenase-1 (HO-1) pathway that is profoundly effective in dampening the enhanced activation of innate immune responses in primary cultures of Kupffer cells, as well as in an in vivo mouse model of chronic ethanol feeding. Importantly, induction of HO-1 also reduces ethanol-induced hepatocellular apoptosis in this in vivo model. Based on these data, we hypothesize that the development of therapeutic agents to regulate HO-1 and its downstream targets could be useful in enhancing the resolution of inflammation during ALD and preventing progression of early stages of liver injury.

关键词： Liver disease Alcohol Macrophages Hemeoxygenase-1 Inflammation

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Free-radical scavenging properties of low molecular weight peptide(s) isolated from S1 cultivar of mulberry leaves and their impact on Bombyx mori(L.)(Bombycidae)

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Journal of Animal Science and Biotechnology 2014年第3期5卷 348-356页

作者： Suchisree Jha palash mandal Phalguni Bhattacharyya Amitava Ghosh Department of Botany University of North BengalSiliguri 734013West BengalIndia Department of Botany University of North Bengal Department of Botany Malda CollegeUniversity of Gour Banga Department of Botany Asutosh College

The mulberry leaves have been considered as a sole food source for silkworm, Bombyx mori （L.）. In present work an attempt was made to investigate the role of low molecular weight peptide（s） isolated from mulberry leaves on silkworm rearing. Also we have tried to find out the role of free-radical scavenging activities of isolated peptide（s） on silkworm growth. Larval growth rate was found effective under the influence of peptide（s）. Consumption rate of larvae after peptide（s） treatment on mulberry leaves was significantly enhanced over control. High antioxidant activity was found in Low molecular weight peptide（s） which have an effect on silkworm.

关键词： Antioxidant HPLC Low molecular peptide（s） Mulberry leaf Silkworm

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Role of artificial intelligence in the characterization of indeterminate pancreatic head mass and its usefulness in preoperative diagnosis

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Artificial Intelligence in Gastroenterology 2023年第3期4卷 48-63页

作者： palash Rawlani Nalini Kanta Ghosh Ashok Kumar Department of Surgical Gastroenterology Sanjay Gandhi Post Graduate Institute of Medical SciencesLucknow 226014Uttar PradeshIndia

Artificial intelligence(AI)has been used in various fields of day-to-day life and its role in medicine is immense.Understanding of oncology has been improved with the introduction of AI which helps in diagnosis,treatment planning,management,prognosis,and follow-up.It also helps to identify high-risk groups who can be subjected to timely screening for early detection of malignant conditions.It is more important in pancreatic cancer as it is one of the major causes of cancer-related deaths worldwide and there are no specific early features(clinical and radiological)for diagnosis.With improvement in imaging modalities(computed tomography,magnetic resonance imaging,endoscopic ultrasound),most often clinicians were being challenged with lesions that were difficult to diagnose with human competence.AI has been used in various other branches of medicine to differentiate such indeterminate lesions including the thyroid gland,breast,lungs,liver,adrenal gland,kidney,etc.In the case of pancreatic cancer,the role of AI has been explored and is still ongoing.This review article will focus on how AI can be used to diagnose pancreatic cancer early or differentiate it from benign pancreatic lesions,therefore,management can be planned at an earlier stage.

关键词： Artificial intelligence Indeterminate pancreatic lesion Imaging Biomarkers Diagnosis

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Evolving utility of exosomes in pancreatic cancer management

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World Journal of Methodology 2023年第3期13卷 46-58页

作者： Thattungal Manoharan Anoop palash Kumar Basu K Chandramohan Ajai Thomas S Manoj Department of Medical Oncology Regional Cancer CenterMedical College CampusThiruvananthapuram 695011KeralaIndia Department of Avionics Indian Institute of Space Science&Technology(IIST)Thiruvananthapuram 695547KeralaIndia Surgical Oncology Regional Cancer CenterThiruvananthapuram 695011KeralaIndia

Despite the development of newer oncological treatment,the survival of patients with pancreatic cancer(PC)remains poor.Recent studies have identified exosomes as essential mediators of intercellular communications and play a vital role in tumor initiation,metastasis and chemoresistance.Thus,the utility of liquid biopsies using exosomes in PC management can be used for early detection,diagnosis,monitoring as well as drug delivery vehicles for cancer therapy.This review summarizes the function,and clinical applications of exosomes in cancers as minimally invasive liquid biomarker in diagnostic,prognostic and therapeutic roles.

关键词： Pancreatic cancer Exosomes Biomarker Liquid biopsy Clinical applications Circulating biomarkers

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Comparative metabolomic analysis of wild type and mads3 mutant rice anthers

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Journal of Integrative Plant Biology 2014年第9期56卷 849-863页

作者： Guorun Qu Sheng Quan palash Mondol Jie Xu Dabing Zhang Jianxin Shi School of Life Sciences and Biotechnology Shanghai Jiao Tong University Shanghai Ruifeng Agro-biotechnology Co. Ltd

Rice（Oryza sativa L.） MADS3 transcription factor regulates the homeostasis of reactive oxygen species（ROS）during late anther development,and one MADS3 mutant,mads3-4,has defective anther walls,aborted microspores and complete male sterility.Here,we report the untargeted metabolomic analysis of both wild type and mads3-4 mature anthers.Mutation of MADS3 led to an unbalanced redox status and caused oxidative stress that damages lipid,protein,and DNA.To cope with oxidative stress in mads3-4 anthers,soluble sugars were mobilized and carbohydrate metabolism was shifted to amino acid and nucleic acid metabolism to provide substrates for the biosynthesis of antioxidant proteins and the repair of DNA.Mutation of MADS3 also affected other aspects of rice anther development such as secondary metabolites associated with cuticle,cell wall,and auxin metabolism.Many of the discovered metabolic changes in mads3-4 anthers were corroborated with changes of expression levels of corresponding metabolic pathway genes.Altogether,this comparative metabolomic analysis indicated that MADS3 gene affects rice anther development far beyond the ROS homeostasis regulation.

关键词： Anther ascorbate cysteine/cysteine glutathione/oxidized glutathione Oryza.sativa L secondary metabolism

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NERD1 is required for primexine formation and plasma membrane undulation during microsporogenesis in Arabidopsis thaliana

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aBIOTECH 2020年第4期1卷 205-218页

作者： Dawei Xu palash Chandra Mondol Sumie Ishiguro Jianxin Shi Dabing Zhang Wanqi Liang Joint International Research Laboratory of Metabolic&Developmental Sciences State Key Laboratory of Hybrid RiceSchool of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghai 200240China Graduate School of Bioagricultural Sciences Nagoya UniversityNagoya 464-8601Japan School of Agriculture Food and WineUniversity of AdelaideAdelaideSA 5064Australia Systems Biotechnology Kyung Hee UniversityYongin 446-701South Korea

The primexine formation and plasma membrane undulation are the crucial steps of pollen wall formation in many angiosperms.However,the molecular mechanism underlining these processes is largely unknown.In Arabidopsis,NEW ENHANCER OF ROOT DWARFISM1(NERD1),a transmembrane protein,was reported to play pleiotropic roles in plant development including male fertility control;while,how NERD1 disruption impacts male reproduction is yet unclear.Here,we revealed that the male sterility of nerd1 mutants is attributed to defects in early steps of pollen wall formation.We found that nerd1-2 is void of primexine formation and microspore plasma membrane undulation,defective in callose deposition.Consequently,sporopollenin precursors are unable to deposit and assemble on the microspore surface,but instead accumulated in the anther locule and tapetal cells,and ultimately leading to microspore abortion.NERD1 is localized in the Golgi and is expressed in both vegetative and reproductive organs,with the highest expression in reproductive tissues,including the tapetum,male meiocytes,tetrads and mature pollen grains.Our results suggest that NERD1 is required for the primexine deposition and microspore plasma membrane undulation,thus essential for sporopollenin assembly and pollen exine formation.

关键词： Primexine Male sterile Sporopollenin Arabidopsis thaliana

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Simplification workflow for hydraulically fractured reservoirs

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Petroleum 2018年第2期4卷 134-147页

作者： Raul Velasco palash Panja Milind Deo Energy&Geoscience Institute Salt Lake CityUSA Department of Chemical Engineering The University of UtahSalt Lake CityUSA

Production from unconventional formations,such as shales,has significantly increased in recent years by stimulating large portions of a reservoir through the application of horizontal drilling and hydraulic fracturing.Although oil shales are heavily dependent on oil prices,production forecasts remain positive in the North-American region.Due to the complexity of hydraulically fractured tight formations,reservoir numerical simulation has become the standard tool to assess and predict production performance from these unconventional resources.Many of these unconventional fields are immense,consisting of multistage and multiwell projects,which results in impractical simulation run times.Hence,simplification of large-scale simulation models is now common both in the industry and academia.Typical simplified models such as the“single fracture”approach do not often capture the physics of large-scale projects which results in inaccurate results.In this paper we present a simple,yet rigorous workflow that generates simplified representative models in order to achieve low simulation run times while capturing physical phenomena which is fundamental for accurate calculations.The proposed workflow is based on consideration of representative portions of a large-scale model followed by postprocess scaling to obtain desired full model results.The simplified models that result from the application of the proposed workflow for a single well and a multiwell case are compared to full-scale models and the“single fracture”model.Comparison of fluid rates and cumulative production show that accurate results are possible for simplified models if all important components for a particular case are taken into account.Finally,application of the workflow is shown for a heterogeneous field case where prediction studies can be carried out.

关键词： Hydraulic fracture Shale Simulation workflow Multiwell Field case

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Microstructural features of Mg-8%Sn alloy and its correlation with mechanical properties

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Journal of Magnesium and Alloys 2017年第3期5卷 348-354页

作者： palash Poddar Ashok Kamaraj A.P.Murugesan Sumanta Bagui K.L.Sahoo Metal Extraction and Forming Division CSIR-National Metallurgical LaboratoryCouncil of Scientific&Industrial ResearchJamshedpur831007 JharkhandIndia Materials Science and Technology Division CSIR-National Metallurgical LaboratoryCouncil of Scientific&Industrial ResearchJamshedpur831007 JharkhandIndia

The aim of this investigation is to establish a structure-property correlation of Mg-8%Sn alloys aged at different time interval.The alloy under the present investigation was aged at elevated(200℃)temperature for various holding period.Differently aged alloys show retention of intermetallic phases after ageing,but in different area fraction of the same with ageing time.Mechanical properties evaluation and corresponding microstructural characterizations were performed to correlate their strength and ductility properties with their microstructural features(i.e.,grain size,grain connectivity and the area fraction of intermetallic phases).

关键词： Magnesium alloys Grain boundary triple points Strength Ductility Intermetallic phase

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Application of artificial intelligence to forecast hydrocarbon production from shales

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Petroleum 2018年第1期4卷 75-89页

作者： palash Panja Raul Velasco Manas Pathak Milind Deo Energy&Geoscience Institute 432Wakara WaySuite 300Salt Lake CityUT 84108United States Department of Chemical Engineering University of Utah50Central Campus Dr.Salt Lake CityUT 84112United States

Artificial intelligence(AI)methods and applications have recently gained a great deal of attention in many areas,including fields of mathematics,neuroscience,economics,engineering,linguistics,gaming,and many others.This is due to the surge of innovative and sophisticated AI techniques applications to highly complex problems as well as the powerful new developments in high speed computing.Various applications of AI in everyday life include machine learning,pattern recognition,robotics,data processing and analysis,etc.The oil and gas industry is not behind either,in fact,AI techniques have recently been applied to estimate PVT properties,optimize production,predict recoverable hydrocarbons,optimize well placement using pattern recognition,optimize hydraulic fracture design,and to aid in reservoir characterization efforts.In this study,three different AI models are trained and used to forecast hydrocarbon production from hydraulically fractured wells.Two vastly used artificial intelligence methods,namely the Least Square Support Vector Machine(LSSVM)and the Artificial Neural Networks(ANN),are compared to a traditional curve fitting method known as Response Surface Model(RSM)using second order polynomial equations to determine production from shales.The objective of this work is to further explore the potential of AI in the oil and gas industry.Eight parameters are considered as input factors to build the model:reservoir permeability,initial dissolved gas-oil ratio,rock compressibility,gas relative permeability,slope of gas oil ratio,initial reservoir pressure,flowing bottom hole pressure,and hydraulic fracture spacing.The range of values used for these parameters resemble real field scenarios from prolific shale plays such as the Eagle Ford,Bakken,and the Niobrara in the United States.Production data consists of oil recovery factor and produced gas-oil ratio(GOR)generated from a generic hydraulically fractured reservoir model using a commercial simulator.The Box-Behnken experiment design was used to minimize the num

关键词： Surrogate models LSSVM ANN Oil recovery Artificial intelligence Unconventional reservoirs

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Microstructure,mechanical response and fractography of AZ91E/Al_(2)O_(3)_(p) nano composite fabricated by semi solid stir casting method

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Journal of Magnesium and Alloys 2017年第1期5卷 48-55页

作者： Sameer Kumar D Suman K.N.S Tara Sasanka C Ravindra K palash Poddar Department of Mechanical Engineering R.V.R.&J.C.College of EngineeringGunturIndia Department of Mechanical Engineering Andhra University College of EngineeringVisakhapatnamIndia CSIR-National Metallurgical Laboratory JamshedpurIndia d Department of Mechanical EngineeringNarasaraopeta Engineering CollegeNarasaraopetIndia

The present study confers to the fabrication and its characterization of magnesium alloy(AZ91E)based nano composites with nano Al_(2)O_(3) particulate reinforcements.A novel Semi Solid stir casting technique was adopted for the fabrication of the composite.An average particle size of 50 nm was used as reinforcement to disperse in matrix.The effects of change in weight fraction of reinforcements on the distribution of particles,particle–matrix interfacial reactions,physical as well as mechanical properties were reported.The SEM and EDS analysis has shown the uniform distribution of particles in the composite along with the presence of elements.The mechanical properties of reinforced and unreinforced composite were evaluated and presented.Fractography of tensile specimens was also discussed.

关键词： Magnesium alloys Nano composites Semi solid stir casting Al_(2)O_(3)particle

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