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  • Open Access

    ARTICLE

    Novel Sustainable Cellulose Acetate Based Biosensor for Glucose Detection

    M. F. Elkady1,2,*, E. M. El-Sayed2, Mahmoud Samy3, Omneya A. Koriem1, H. Shokry Hassan4,5

    Journal of Renewable Materials, Vol.12, No.2, pp. 369-380, 2024, DOI:10.32604/jrm.2023.046585

    Abstract In this study, green zinc oxide (ZnO)/polypyrrole (Ppy)/cellulose acetate (CA) film has been synthesized via solvent casting. This film was used as supporting material for glucose oxidase (GOx) to sensitize a glucose biosensor. ZnO nanoparticles have been prepared via the green route using olive leaves extract as a reductant. ZnO/Ppy nanocomposite has been synthesized by a simple in-situ chemical oxidative polymerization of pyrrole (Py) monomer using ferric chloride (FeCl3) as an oxidizing agent. The produced materials and the composite films were characterized using X-ray diffraction analysis (XRD), scanning electron microscope (SEM), Fourier transform infrared (FTIR) and thermogravimetric analysis (TGA). Glucose… More > Graphic Abstract

    Novel Sustainable Cellulose Acetate Based Biosensor for Glucose Detection

  • Open Access

    ARTICLE

    Label-free quantitative proteomics analysis models in vivo and in vitro reveal key proteins and potential roles in sciatic nerve injury

    YANG GU1,#,*, MINGGUANG BI2,#, DEHUI CHEN3, NING NI4, JIANMING CHEN1,*

    BIOCELL, Vol.47, No.9, pp. 2069-2080, 2023, DOI:10.32604/biocell.2023.029989

    Abstract Background: The underlying mechanism of sciatic nerve injury (SNI) is a common motor functional disorder, necessitates further research. Methods: A rat model of SNI was established, with the injury group subjected to compressive injury of the right sciatic nerve exposed at the midpoint of the thigh and the sham surgery group undergoing the same surgical procedure. An oxygen-glucose deprivation model was employed to simulate in vitro SNI in PC12 cells. Following data acquisition and quality control, differentially expressed proteins (DEPs) in each model were identified through differential analysis, and enrichment analysis was used to explore the potential functions and pathways… More >

  • Open Access

    ARTICLE

    Intraoperative Blood Glucose Levels and Postoperative Acute Kidney Injury in Pediatric Patients Having Congenital Heart Surgery under Cardiopulmonary Bypass

    Dongyun Bie1,#, Hongbai Wang1,#, Chaobin Zhang2, Chunrong Wang3, Yuan Jia1, Su Yuan1, Sheng Shi1, Jiangshan Huang1, Jianhui Wang1,*, Fuxia Yan1,*

    Congenital Heart Disease, Vol.18, No.4, pp. 475-488, 2023, DOI:10.32604/chd.2023.028017

    Abstract Purpose: This study sought to explore the effect of intraoperative mean blood glucose levels and variability on postoperative acute kidney injury (AKI) in children undergoing congenital cardiac surgery. Methods: We conducted a prospective nested case-control study in children (age < 18 years) undergoing congenital heart surgery with cardiopulmonary bypass (CPB) at the Fuwai Hospital between April 01, 2022 and July 30, 2022. Cases were individuals who developed AKI within the first postoperative 7 days (AKI group) and controls were those without AKI (Non-AKI group) according to KDIGO criteria. AKI and Non-AKI groups unmatched and 1:1 matched by age, sex, and baseline serum… More > Graphic Abstract

    Intraoperative Blood Glucose Levels and Postoperative Acute Kidney Injury in Pediatric Patients Having Congenital Heart Surgery under Cardiopulmonary Bypass

  • Open Access

    ARTICLE

    Network pharmacology and molecular docking identify mechanisms of medicinal plant-derived 1,2,3,4,6-penta-O-galloyl-beta-D-glucose treating gastric cancer

    MAN REN1,2,3,#, YUAN YANG1,2,#, DAN LI4, NANNAN ZHAO5, YUPING WANG2,6,*, YONGNING ZHOU2,6,*

    BIOCELL, Vol.47, No.5, pp. 977-989, 2023, DOI:10.32604/biocell.2023.028402

    Abstract Background: 1,2,3,4,6-penta-O-galloyl-beta-D-glucose (PGG) is a natural polyphenolic compound derived from multiple medicinal plants with favorable anticancer activity. Methods: In this study, the mechanisms of PGG against gastric cancer were explored through network pharmacology and molecular docking. First, the targets of PGG were searched in the Herbal Ingredients’ Targets (HIT), Similarity Ensemble Approach (SEA), and Super-PRED databases. The potential targets related to gastric cancer were predicted from the Human Gene Database (GeneCards) and DisGeNET databases. The intersecting targets of PGG and gastric cancer were obtained by Venn diagram and then subjected to protein-protein interaction analysis to screen hub targets. Functional and… More >

  • Open Access

    ARTICLE

    Vitamin B3 inhibits apoptosis and promotes autophagy of islet β cells under high glucose stress

    YU ZHANG1,2, XI’AN ZHOU1,2, CHUNYAN ZHANG1,2, DENGNI LAI5, DONGBO LIU1,3,4, YANYANG WU1,2,3,4,*

    BIOCELL, Vol.47, No.4, pp. 859-868, 2023, DOI:10.32604/biocell.2023.026429

    Abstract Background: Hyperglycemia is a typical symptom of diabetes. High glucose induces apoptosis of islet β cells. While autophagy functions in cytoprotection and autophagic cell death. The interaction between autophagy and apoptosis is important in the modulation of the function of islet β cells. Vitamin B3 can induce autophagy and inhibit islet β apoptosis.Method: The mechanism of vitamin B3-mediated protective effect on the function of islet β cells was explored by the method of western blot, immunofluorescence and flow cytometry.Results: In the present study, high glucose stress increased the apoptosis rate, while vitamin B3 reduced the apoptosis rate. The effect of… More >

  • Open Access

    ARTICLE

    Data Analytics on Unpredictable Pregnancy Data Records Using Ensemble Neuro-Fuzzy Techniques

    C. Vairavel1,*, N. S. Nithya2

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 2159-2175, 2023, DOI:10.32604/csse.2023.036598

    Abstract The immune system goes through a profound transformation during pregnancy, and certain unexpected maternal complications have been correlated to this transition. The ability to correctly examine, diagnoses, and predict pregnancy-hastened diseases via the available big data is a delicate problem since the range of information continuously increases and is scalable. Many approaches for disease diagnosis/classification have been established with the use of data mining concepts. However, such methods do not provide an appropriate classification/diagnosis model. Furthermore, single learning approaches are used to create the bulk of these systems. Classification issues may be made more accurate by combining predictions from many… More >

  • Open Access

    ARTICLE

    Retrospective Analysis of Postprandial Glucose-Response Data Collected in a Free-Living Environment

    Colleen Crangle1,2,*, Bude Piccin2, Lara Hyde3, Elin Östman4

    Journal of Intelligent Medicine and Healthcare, Vol.1, No.2, pp. 91-102, 2022, DOI:10.32604/jimh.2022.038379

    Abstract Postprandial glucose responses provide vital information on an individual’s risk of major diet-related chronic diseases. This study features digital health technology, namely Continuous Glucose Monitoring (CGM) sensors, along with mobile devices (iPhones running an app) used to collect data from individuals and their environment, specifically nutritional information on what they eat and drink. The paper presents a retrospective analysis of data collected during an investigation into the use of a functional drink taken as a supplement with a standardized meal to reduce postprandial responses to that meal. Given that there are consequential differences between individuals in their postprandial glucose responses,… More >

  • Open Access

    ARTICLE

    Ampelopsin Inhibits Breast Cancer Glucose Metabolism Reprogramming Based on Network Pharmacology and Molecular Docking

    Rong Zeng1,#, Lin Liu1,2,#, Jingshan Zhao1,2,3,#, Wenmei Zhang3, Guohong Zhang1, Yunfeng Li1,2,*

    Oncologie, Vol.24, No.3, pp. 483-498, 2022, DOI:10.32604/oncologie.2022.025148

    Abstract Background: Breast cancer (BC) is the most frequent type of gynecology tumors with high morbidity and mortality. Ampelopsin, the main active compound of Ampelopsis grossedentata, exerts an anti-tumor effect on a variety of cancers. However, the anti-cancer role of ampelopsin in BC remains unclear. The aim of this study is to explore the mechanism of ampelopsin against breast cancer. Materials and Methods: The target genes of ampelopsin in the treatment of breast cancer were determined and analyzed by network pharmacology and molecular docking. Cytoscape software was used to identify the core target genes and construct a protein–protein interaction (PPI) network.… More >

  • Open Access

    ARTICLE

    Dexmedetomidine alleviates oxygen and glucose deprivation-induced apoptosis in mesenchymal stem cell via downregulation of MKP-1

    RUICONG GUAN1,3,#, KUAN ZENG1,#, MINNAN GAO1, JIANFEN LI1, HUIQI JIANG1, LU ZHANG1, JINGWEN LI1, BIN ZHANG1, YUQIANG LIU1, ZHUXUAN LIU1, DIAN WANG1, YANQI YANG1,2,*

    BIOCELL, Vol.46, No.11, pp. 2455-2463, 2022, DOI:10.32604/biocell.2022.021661

    Abstract Bone marrow mesenchymal stem cell (MSC)-based therapy is a novel candidate for heart repair. But ischemia-reperfusion injury leads to low viability of MSC. Dexmedetomidine (Dex) has been found to protect neurons against ischemia-reperfusion injury. It remains unknown if Dex could increase the viability of MSCs under ischemia. The present study is to observe the potential protective effect of Dex on MSCs under ischemia and its underlying mechanisms. Specific mRNAs related to myocardial ischemia in the GEO database were selected from the mRNA profiles assessed in a previous study using microarray. The most dysregulated mRNAs of the specific ones from the… More >

  • Open Access

    ARTICLE

    To Control Diabetes Using Machine Learning Algorithm and Calorie Measurement Technique

    T. Viveka1,*, C. Christopher Columbus2, N. Senthil Velmurugan3

    Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 535-547, 2022, DOI:10.32604/iasc.2022.022976

    Abstract Because of the increasing workload, people are having several clinical examinations to determine their health status, resulting in limited time. Here, we present a healthful consuming device based on rule mining that can modify your parameter dependency and recommend the varieties of meals that will boost your fitness and assist you to avoid the types of meals that increase your risk for sicknesses. Using the meals database, the data mining technique is useful for gathering meal energy from breakfast, after breakfast, lunch, after lunch, dinner, after dinner, and bedtime for ninety days. The purpose of this study is to determine… More >

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