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  • Open Access

    REVIEW

    New insight into the role of exosomes in idiopathic membrane nephropathy

    JIANHONG LIU1,#, KAI HE2,#, HAN WANG3,#, XIAOHONG CHENG1,*

    BIOCELL, Vol.48, No.1, pp. 21-32, 2024, DOI:10.32604/biocell.2023.045631

    Abstract Exosomes, nanoscale extracellular vesicles (EVs) derived from the invagination of the endosomal membrane, are secreted by a majority of cell types. As carriers of DNA, mRNA, proteins, and microRNAs, exosomes are implicated in regulating biological activities under physiological and pathological conditions. Kidney-derived exosomes, which vary in origin and function, may either contribute to the pathogenesis of disease or represent a potential therapeutic resource. Membranous nephropathy (MN), an autoimmune kidney disease characterized by glomerular damage, is a predominant cause of nephrotic syndrome. Notably, MN, especially idiopathic membranous nephropathy (IMN), often results in end-stage renal disease (ESRD), affecting approximately 30% of patients… More > Graphic Abstract

    New insight into the role of exosomes in idiopathic membrane nephropathy

  • Open Access

    ARTICLE

    Exosomal miR-30a-5p targets NLRP3 to suppress podocyte pyroptosis in diabetic nephropathy

    WEI LU1,*, KAN GUO2, DIANMEI XI1, ZHAOXIA XIA1

    BIOCELL, Vol.47, No.9, pp. 1995-2008, 2023, DOI:10.32604/biocell.2023.024591

    Abstract Background: Mesenchymal stem cell (MSC)-derived exosomes are closely related to pyroptosis in diabetic nephropathy (DN). This study aimed to explore the protective effect of exosomal miR-30a-5p on podocyte pyroptosis in DN. Methods: Streptozotocin was used to establish the mouse model of DN. Human bone marrow MSC-derived exosomes were extracted and identified via transmission electron microscopy, nanoparticle tracking analysis, and western blotting. MiR-30a-5p mimics and non-control (NC) mimics were transfected into MSCs and podocytes, and exosomes were isolated from the MSCs. High glucose (HG)-induced podocyte model was established to determine the effect of exosomal miR-30a-5p on pyroptosis and inflammation in vitro.… More >

  • Open Access

    ARTICLE

    The potency of N, N'-diphenyl-1,4-phenylenediamine and adipose-derived stem cell co-administration in alleviating hepatorenal dysfunction complications associated with type 1 diabetes mellitus in rats

    HANY M. ABD EL-LATEEF1,2,*, SAFA H. QAHL3, EMAN FAYAD4, SARAH A. ALTALHI4, IBRAHIM JAFRI4, EL SHAIMAA SHABANA5, MARWA K. DARWISH6,7, REHAB MAHER8, SAAD SHAABAN1,9, SHADY G. EL-SAWAH10,*

    BIOCELL, Vol.47, No.8, pp. 1885-1895, 2023, DOI:10.32604/biocell.2023.030680

    Abstract Background: The increasing occurrence of diabetes mellitus (DM) noted worldwide has considerably elicited concern in the recent past. DM is associated with elevated vascular complications, morbidity, mortality, and poor quality of life. In this context, mesenchymal stem cells (MSCs) have shown significant therapeutic potentialities in managing and curing type 1 DM owing to their self-renewable, immunosuppressive, and differentiation capacities. We investigated the potential action of N, N′-diphenyl-1,4-phenylenediamine (DPPD), a well-known synthetic antioxidant to enhance the therapeutic ability of the adipose-derived stem cells (AD-MSCs) in alleviating kidney and liver complications in diabetic rats. Methods: Over the four weeks of experiments, albino… More > Graphic Abstract

    The potency of <i>N</i>, <i>N'</i>-diphenyl-1,4-phenylenediamine and adipose-derived stem cell co-administration in alleviating hepatorenal dysfunction complications associated with type 1 diabetes mellitus in rats

  • Open Access

    ARTICLE

    Study of molecular mechanisms underlying the medicinal plant Tripterygium wilfordii-derived compound celastrol in treating diabetic nephropathy based on network pharmacology and molecular docking

    FENGMEI QIAN1,2, PEIYAO REN2, LI ZHAO2, DANNA ZHENG2, WENFANG HE3, JUAN JIN3,*

    BIOCELL, Vol.47, No.8, pp. 1853-1867, 2023, DOI:10.32604/biocell.2023.029353

    Abstract Background: Diabetic nephropathy (DN) is a serious complication of diabetes with rising prevalence worldwide. We aimed to explore the anti-DN mechanisms of the compound celastrol derived from the medicinal plant Tripterygium wilfordii. Methods: Celastrol-related targets were obtained from Herbal Ingredients’ Targets (HIT) and GeneCards databases. DN-related targets were retrieved from GeneCards, DisGeNET, and Therapeutic Targets Database (TTD). A Protein-protein interaction (PPI) network was established using the Search Tool for the Retrieval of Interacting Genes (STRING) database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed using ClusterProfiler. The cytoHubba plugin was used to select… More > Graphic Abstract

    Study of molecular mechanisms underlying the medicinal plant <i>Tripterygium wilfordii</i>-derived compound celastrol in treating diabetic nephropathy based on network pharmacology and molecular docking

  • Open Access

    ARTICLE

    Étude de la vulnérabilité à la pollution du système phréatique du sahel de Sfax par les outils SIG

    Nadia Trabelsi, Imen Hentati, Ibtissem Triki, Moncef Zairi

    Revue Internationale de Géomatique, Vol.29, No.3, pp. 317-338, 2019, DOI:10.3166/rig.2019.00087

    Abstract Le système phréatique du sahel de Sfax (Tunisie) constitue une source importante d’approvisionnement. Ces eaux ne cessent d’être menacées par la pollution nitrique. Dans le but de protéger cet aquifère, une étude de la vulnérabilité intrinsèque a été effectuée. Pour cela on a eu recours à l’utilisation de la méthode SI (Susceptibility Index) qui prend en considération les différents critères de vulnérabilités, régissant le processus de transfert de contaminants. Il s’agit des facteurs géologiques, hydrogéologiques, d’occupation du sol, de la topographie, ainsi que de la météorologie. Dans la présente étude, une modification de la méthode SI a été faite. Une… More >

  • Open Access

    ARTICLE

    Genetic algorithm-optimized backpropagation neural network establishes a diagnostic prediction model for diabetic nephropathy: Combined machine learning and experimental validation in mice

    WEI LIANG1,2,*, ZONGWEI ZHANG1,2, KEJU YANG1,2,3, HONGTU HU1,2, QIANG LUO1,2, ANKANG YANG1,2, LI CHANG4, YUANYUAN ZENG4

    BIOCELL, Vol.47, No.6, pp. 1253-1263, 2023, DOI:10.32604/biocell.2023.027373

    Abstract Background: Diabetic nephropathy (DN) is the most common complication of type 2 diabetes mellitus and the main cause of end-stage renal disease worldwide. Diagnostic biomarkers may allow early diagnosis and treatment of DN to reduce the prevalence and delay the development of DN. Kidney biopsy is the gold standard for diagnosing DN; however, its invasive character is its primary limitation. The machine learning approach provides a non-invasive and specific criterion for diagnosing DN, although traditional machine learning algorithms need to be improved to enhance diagnostic performance. Methods: We applied high-throughput RNA sequencing to obtain the genes related to DN tubular… More >

  • Open Access

    ARTICLE

    BC-PC-Share: Blockchain-Based Patient-Centric Data Sharing Scheme for PHRs in Cloud Computing

    Caihui Lan1, Haifeng Li2,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2985-3010, 2023, DOI:10.32604/cmes.2023.026321

    Abstract Sharing of personal health records (PHR) in cloud computing is an essential functionality in the healthcare system. However, how to securely, efficiently and flexibly share PHRs data of the patient in a multi-receiver setting has not been well addressed. For instance, since the trust domain of the cloud server is not identical to the data owner or data user, the semi-trust cloud service provider may intentionally destroy or tamper shared PHRs data of user or only transform partial ciphertext of the shared PHRs or even return wrong computation results to save its storage and computation resource, to pursue maximum economic… More >

  • Open Access

    ARTICLE

    Signal Conducting System with Effective Optimization Using Deep Learning for Schizophrenia Classification

    V. Divya1,*, S. Sendil Kumar2, V. Gokula Krishnan3, Manoj Kumar4

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1869-1886, 2023, DOI:10.32604/csse.2023.029762

    Abstract Signal processing based research was adopted with Electroencephalogram (EEG) for predicting the abnormality and cerebral activities. The proposed research work is intended to provide an automatic diagnostic system to determine the EEG signal in order to classify the brain function which shows whether a person is affected with schizophrenia or not. Early detection and intervention are vital for better prognosis. However, the diagnosis of schizophrenia still depends on clinical observation to date. Without reliable biomarkers, schizophrenia is difficult to detect in its early phase and hence we have proposed this idea. In this work, the EEG signal series are divided… More >

  • Open Access

    ARTICLE

    A Dual Attention Encoder-Decoder Text Summarization Model

    Nada Ali Hakami1, Hanan Ahmed Hosni Mahmoud2,*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3697-3710, 2023, DOI:10.32604/cmc.2023.031525

    Abstract A worthy text summarization should represent the fundamental content of the document. Recent studies on computerized text summarization tried to present solutions to this challenging problem. Attention models are employed extensively in text summarization process. Classical attention techniques are utilized to acquire the context data in the decoding phase. Nevertheless, without real and efficient feature extraction, the produced summary may diverge from the core topic. In this article, we present an encoder-decoder attention system employing dual attention mechanism. In the dual attention mechanism, the attention algorithm gathers main data from the encoder side. In the dual attention model, the system… More >

  • Open Access

    REVIEW

    Enhanced sampling for lipid-protein interactions during membrane dynamics

    DIEGO MASONE1,2,*

    BIOCELL, Vol.47, No.1, pp. 1-14, 2023, DOI:10.32604/biocell.2023.024146

    Abstract The inflexible concept of membrane curvature as an independent property of lipid structures is today obsolete. Lipid bilayers behave as many-body entities with emergent properties that depend on their interactions with the environment. In particular, proteins exert crucial actions on lipid molecules that ultimately condition the collective properties of the membranes. In this review, the potential of enhanced molecular dynamics to address cell-biology problems is discussed. The cases of membrane deformation, membrane fusion, and the fusion pore are analyzed from the perspective of the dimensionality reduction by collective variables. Coupled lipid-protein interactions as fundamental determinants of large membrane remodeling events… More >

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