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Molecular basis of hepatocellular carcinoma induced by hepatitis C virus infection

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World Journal of Hepatology 2017年第36期9卷 1305-1314页

作者： mohammad irshad Priyanka Gupta Khushboo irshad Clinical Biochemistry Division Department of Laboratory MedicineAll India Institute of Medical SciencesNew Delhi 110029India

Present study outlines a comprehensive view of published information about the underlying mechanisms operational for progression of chronic hepatitis C virus(HCV) infection to development of hepatocellular carcinoma(HCC). These reports are based on the results of animal experiments and human based studies. Although, the exact delineated mechanism is not yet established, there are evidences available to emphasize the involvement of HCV induced chronic inflammation, oxidative stress, insulin resistance, endoplasmic reticulum stress, hepato steatosis and liver fibrosis in the progression of HCV chronic disease to HCC. Persistent infection with replicating HCV not only initiates several liver alterations but also creates an environment for development of liver cancer. Various studies have reported that HCV acts both directly as well as indirectly in promoting this process. Whereas HCV related proteins, like HCV core, E1, E2, NS3 and NS5A, modulate signal pathways dysregulating cell cycle and cell metabolism, the chronic infection produces similar changes in an indirect way. HCV is an RNA virus and does not integrate with host genome and therefore, HCV induced hepatocarcinogenesis pursues a totally different mechanism causing imbalance between suppressors and proto-oncogenes and genomic integrity. However, the exact mechanism of HCC inducement still needs a full understanding of various steps involved in this process.

关键词： Hepatitis C virus Hepatocellular carcinoma Fibrosis Core NS5A Inflammation

Torque teno virus:Its prevalence and isotypes in North India

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World Journal of Gastroenterology 2008年第39期14卷 6044-6051页

作者： mohammad irshad Shiwani Singh Khushboo irshad Sanjay Kumar Agarwal Yogendra Kumar Joshi Clinical Biochemistry Division Department of Laboratory MedicineAll India Institute of Medical SciencesNew Delhi-110029India Department of Biochemistry All India Institute of Medical SciencesNew Delhi-110029India Department of Nephrology All India Institute of Medical SciencesNew Delhi-110029India Department of Gastroenterology and Human Nutrition All India Institute of Medical SciencesNew Delhi-110029India

AIM： To investigate the prevalence and genotype distribution of Torque teno virus （TTV） in patients with different liver diseases and chronic renal failure treated at a referral hospital in North India. METHODS： Whereas prevalence of TFV was based on amplification of conserved region of ORF2 of TTV genome, the genotyping of TFV was carried out using restriction fragment length polymorphism （RFLP） procedure on the N22 region of ORFI. RESULTS： TTV-DNA was detected in 137 of 513 （26.7%） patients with liver diseases and 38 of 65 （58.5%） patients with chronic renal failure. Trv was also detected in 2/7% of healthy controls. The sequence analysis of the PCR product from 10 randomly selected cases failed to show a significant sequence divergence when compared with that of the TRM1 isolate of TTV genotype 1. The results of genotyping in 55 randomly selected patients showed the presence of genotype 1 （G1） in 53 （96.4%） and genotype 2 （G2） in 2 cases （3.6%）, respectively. Other genotypes were not identified in this patient subgroup, suggesting that G1 is predominant in this area. The results of genotyping by RFLP were also supported by phylogenetic tree analysis, where G1 was found to be the major genotype. CONCLUSION： These results indicate that TTV is moderately present in Indian patients, with G1 to be the major genotype in North India. The pathogenicity and etiological role of TTV in different diseases is still a question mark and warrant further studies.

关键词： Torque teno virus Genotype Restriction fragment length polymorphism Torque Teno Hepatocellular carcinoma

An insight into the diagnosis and pathogenesis of hepatitis C virus infection

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World Journal of Gastroenterology 2013年第44期19卷 7896-7909页

作者： mohammad irshad Dhananjay Singh Mankotia Khushboo irshad Clinical Biochemistry Division Department of Laboratory Medicine All India Institute of Medical Sciences New Delhi-110029 India Department of Laboratory Medicine All India Institute of Medical Sciences New Delhi-110029India Department of Biochemistry All India Institute of Medical Sciences New Delhi-110029 India

This review focuses on research findings in the area of diagnosis and pathogenesis of hepatitis C virus(HCV)infection over the last few *** information based on published literature provides an update on these two aspects of *** infection,previously called blood transmitted non-A,non-B infection,is prevalent globally and poses a serious public health problem *** diagnosis of HCV infection has evolved from serodetection of non-specific and low avidity anti-HCV antibodies to detection of viral nucleic acid in serum using the polymerase chain reaction(PCR)*** PCR assays detect viral nucleic acid with high accuracy and the exact copy number of viral ***,multiplex assays using real-time PCR are available for identification of HCV-genotypes and their *** contrast to previous methods,the newly developed assays are not only fast and eco-nomic,but also resolve the problem of the window period as well as differentiate present from past *** is a non-cytopathic virus,thus,its pathogenesis is regulated by host immunity and metabolic changes including oxidative stress,insulin resistance and hepatic *** innate and adaptive immunity play an important role in HCV *** lymphocytes demonstrate crucial activity during viral eradication or viral persistence and are influenced by viral proteins,HCV-quasispecies and several metabolic factors regulating liver *** pathogenesis is a very complex phenomenon and requires further study to determine the other factors involved.

关键词： Hepatitis C virus Diagnosis Pathogenesis Immunity Steatosis

Expression of TTV-ORF2 Protein for Detection of Anti-TTV IgG Antibodies in Human Sera

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Advances in Infectious Diseases 2013年第3期3卷 223-229页

作者： Shiwani Singh Akanksha Singh Dhananjay Singh Mankotia Kalpana Luthra mohammad irshad Clinical Biochemistry Division Department of Laboratory Medicine All India Institute of Medical Sciences New Delhi India

The present study describes the cloning and expression of ORF-2 region of TTV genome and the use of expressed peptide in developing immunoassay for detection of anti-TTV antibodies in serum. Presence of TTV-DNA in serum was detected by PCR amplifying N-22 region of ORF-1 of TTV genome. This was followed by genotyping of TTV by RFLP using N-22 amplicon. Using genotype-1 positive serum as the source of TTV, the ORF-2 region was amplified by PCR and subsequently cloned and expressed in pET-19b vector. The expressed protein, identified as 20 kDa protein on SDS-PAGE gel, was purified by affinity chromatography and then used as antigen to develop western blot assay for detection of anti-TTV antibodies in serum. Analysis of sera for anti-TTV antibodies and their comparison with presence of TTV-DNA, produced encouraging results. There was a good relation between presence of anti-TTV and TTV-DNA in these sera samples. Anti-TTV antibodies could be detected in all TTV-DNA positive sera irrespective of the presence of TTV-genotype. This investigation demonstrates that ORF-2 peptide may be used in developing immunoassay for identification of TTV infection.

关键词： TTV ORF-2 Anti TTV-IgG Expression N-22

Auto-tuning PVT data using multi-objective optimization: Application of NSGA-Ⅱ algorithm

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Petroleum 2024年第1期10卷 135-149页

作者： Abdolhadi Zarifi mohammad Madani mohammad Jafarzadegan Reservoir Engineering Systems Petroleum Engineering Department Main Office Building of National Iranian South Oil Company (NISOC) Combined Planning Management National Iranian Oil Company (NIOC) Reservoir Engineering Division Petroleum Engineering Department Petroleum Engineering and Development Company (PEDEC)

Reservoir simulation is known as perhaps the most widely used, accurate, and reliable method for field development in the petroleum industry. An integral part of a reliable reservoir simulation process is to consider robust and rigorous tuned EOS models. Traditionally, EOS models are tuned iteratively through arduous workflows against experimental PVT data. However, this comes with a number of drawbacks such as forcingly using weight factors, which upon alteration adversely affects the optimization *** objective of the current work is thus to introduce an auto-tune PVT matching tool using NSGA-II multi-objective optimization. In order to illustrate the robustness of the presented technique, three different PVT samples are used, including two black-oil and one gas condensate sample. We utilize PengRobinson EOS during all the manual and auto-tuning processes. Comparison of auto-tuned EOS-generated results with those of experimental and computed statistical error values for these samples clearly show that the proposed method is robust. In addition, the proposed method, contrary to the manual matching process, provides the engineer with several matched solutions, which allows them to select a match based on the engineering background to be best amenable to the problem at hand. In addition, the proposed technique is fast, and can output several solutions within less time compared to the traditional manual matching method.

关键词： Auto-tuning PVT Equation of state NSGA-II Multi-objective optimization

Deep Learning-Based ECG Classification for Arterial Fibrillation Detection

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Computers, Materials & Continua 2024年第6期79卷 4805-4824页

作者： Muhammad Sohail irshad Tehreem Masood Arfan Jaffar Muhammad Rashid Sheeraz Akram Abeer Aljohani Faculty of Computer Science&Information Technology The Superior UniversityLahore54000Pakistan Intelligent Data Visual Computing Research(IDVCR) Lahore54000Pakistan Department of Computer Science National University of TechnologyIslamabad45000Pakistan Information Systems Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Computer Science Applied CollegeTaibah UniversityMedina42353Saudi Arabia

The application of deep learning techniques in the medical field,specifically for Atrial Fibrillation(AFib)detection through Electrocardiogram(ECG)signals,has witnessed significant *** and timely diagnosis increases the patient’s chances of ***,issues like overfitting and inconsistent accuracy across datasets remain *** a quest to address these challenges,a study presents two prominent deep learning architectures,ResNet-50 and DenseNet-121,to evaluate their effectiveness in AFib *** aim was to create a robust detection mechanism that consistently performs *** such as loss,accuracy,precision,sensitivity,and Area Under the Curve(AUC)were utilized for *** findings revealed that ResNet-50 surpassed DenseNet-121 in all evaluated *** demonstrated lower loss rate 0.0315 and 0.0305 superior accuracy of 98.77%and 98.88%,precision of 98.78%and 98.89%and sensitivity of 98.76%and 98.86%for training and validation,hinting at its advanced capability for AFib *** insights offer a substantial contribution to the existing literature on deep learning applications for AFib detection from ECG *** comparative performance data assists future researchers in selecting suitable deep-learning architectures for AFib ***,the outcomes of this study are anticipated to stimulate the development of more advanced and efficient ECG-based AFib detection methodologies,for more accurate and early detection of AFib,thereby fostering improved patient care and outcomes.

关键词： Convolution neural network atrial fibrillation area under curve ECG false positive rate deep learning classification

Investigation of material composition,design,and performance of open-graded asphalt mixtures for semi-flexible pavement:A comprehensive experimental study

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第1期11卷 92-116页

作者： mohammad Taghipoor Abolfazl Hassani mohammad M.Karimi Department of Civil and Environmental Engineering Tarbiat Modares UniversityTehranIran

The primary goal of this study is the design and construction of semi-flexible pavement(SFP)mixture in accordance with the engineering and mechanical *** study involves the use of a range of gradation curves,air void contents,cellulose and synthesized fibers,and neat and modified asphalt binders to prepare the open-graded asphalt(OGA)*** analyze the characteristics of these mixtures,a variety of test,namely binder drainage,semi-circular bending(SCB),Cantabro,wheel tracking,indirect tensile strength(ITS),and permeability tests were ***,to analyze the prepared grouting material,flexural strength,compressive strength,and fluidity tests were *** the final stage,SFP was compared to HMA in terms of engineering characteristics and *** to the results,SFP was more resistant to skid,rutting,fire,and moisture damage,while HMA had a better performance in fracture tests,including SCB *** to the results of the mechanical performance tests conducted on OGA mixtures,the highest and lowest values for air void content to achieve the highest mechanical performance level were 30%-35%and 25%,***,based on the laboratory results,it was determined that the required void ratio for constructing OGA mixtures was 24%-26%based on the bitumen type and fibers amount in the ***,SFP mixture can be regarded as a viable alternative to common pavements thanks to its high resistance to rutting and moisture damage,long freezing-thawing fatigue life,and adequate fire and skid resistance.

关键词： Semi-flexible pavement mixture Open-graded asphalt mixture Engineering properties Cantabro test Hot mix asphalt

Recent Progress in Bionic Hydrogels for Articular Cartilage:Tribological and Mechanical Characteristics

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Journal of Bionic Engineering 2024年第2期21卷 653-673页

作者： mohammad Javan Almasi Dangsheng Xiong School of Materials Science and Engineering Nanjing University of Science and TechnologyNanjing210094China

Cartilage regeneration and repair are considered clinical challenges since cartilage has limited capability for *** tissue-engineered materials have the ability to repair cartilage,they have weak mechanical characteristics and cannot resist long-term *** the other hand,surgery to replace the joint is frequently done to treat significant cartilage deterioration these ***,the materials that are being used for replacement have high friction coefficients,lack shock absorption functions,and lack *** research on natural articular cartilage structure and function may lead to bionic hydrogels,which have suitable physicochemical and biological characteristics(e.g.,tribological and mechanical properties and the ability to support loadbearing capability),but need *** on their tribological and mechanical characteristics,the current review highlights the most recent advancements of bionic hydrogels used for articular cartilage,highlighting both the field's recent progress and its potential for future *** this reason,firstly,some important property improvement methods of bionic hydrogels are discussed and then,the recent findings of various research on the making of those bionic materials are provided and *** seems that by using some modifications such as product design,surface treatments,animal tests,controlling the isoelectric point of hydrogels,and computer simulation,the intended mechanical and tribological characteristics of natural articular cartilage may be attained by the bionic hydrogels.

关键词： Bionic hydrogel Articular cartilage Mechanical property Tribological property Lubrication

Ultrasensitive plasmonic sensor based on MDM waveguide containing Persian Orsi window cavities for refractive index and blood plasma sensing

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Optoelectronics Letters 2024年第7期20卷 406-411页

作者： mohammad Ghanavati mohammad Azim Karami School of Electrical Engineering Iran University of Science and TechnologyTehran 16846-13114Iran12

We developed a plasmonic refractive index(RI)with a metal-dielectric-metal(MDM)structure that utilizes two Persian Orsi windows-like separated cavities with a high figure of merit(FoM)and *** simulated and optimized Ag-air-Ag MDM sensor for surface plasmon resonance(SPR)offers high RI sensitivity(SRI)and the ability to detect blood plasma concentration(BPC).The results verified that structural parameters have an effect on SRI,full width at half maximum(FWHM),FoM,sensitivity of blood plasma(S_(p))for right and left peaks,whose values are 1345.45 nm·RIU^(−1),32 nm,42.04 RIU^(−1),0.26 and 0.19 nm·L·g^(-1),*** proposed design opens a new horizon in sensor development.

关键词： index utilize MDM