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  • Open Access

    ARTICLE

    Rhein Inhibits Podocyte Ferroptosis and Epithelial-Mesenchymal Transition in Diabetic Nephropathy by Activating the SIRT1/p53/SLC7A11 Pathway

    Wei Hu1, Dan Xiong2,*

    BIOCELL, Vol.49, No.9, pp. 1711-1731, 2025, DOI:10.32604/biocell.2025.067670 - 25 September 2025

    Abstract Objectives: Podocytes undergo epithelial-mesenchymal transition (EMT) and ferroptosis in response to hyperglycemic stimulation. This is considered an important early event in the development and progression of diabetic nephropathy (DN). Rhein is the main active anthraquinone derivative in several common traditional herbal medicines. This study aimed to investigate the protective effects of Rhein on podocyte ferroptosis and EMT. Methods: The mouse glomerular podocyte cell line MPC5 was stimulated with high glucose (HG), Rhein, and the ferroptosis inhibitor ferrostatin-1 (Fer-1). Mechanistic investigations employed plasmids to overexpress and knockdown Sirtuin-1 (SIRT1), solute carrier family 7 member 11 (SLC7A11),… More >

  • Open Access

    REVIEW

    Harnessing Exercise for Chronic Kidney Disease: Integrating Molecular Pathways, Epigenetics, and Gene-Environment Interactions

    Kyung-Wan Baek1,2,#, Jinkyung Cho3,#, Ji Hyun Kim4, Ji-Seok Kim1,2,*

    BIOCELL, Vol.49, No.8, pp. 1339-1362, 2025, DOI:10.32604/biocell.2025.064916 - 29 August 2025

    Abstract Chronic kidney disease (CKD) affects a significant fraction of the global population and is closely associated with elevated cardiovascular risk and poor clinical outcomes. Its pathophysiology entails complex molecular and cellular disturbances, including reduced nitric oxide bioavailability, persistent low-grade inflammation, oxidative stress, endothelial dysfunction, altered mineral metabolism, genetic predispositions, and uremic toxin accumulation. As current pharmacological treatments provide only partial risk reduction, complementary approaches are imperative. Exercise training, both aerobic and resistance, has emerged as a potent non-pharmacological intervention targeting these underlying molecular pathways. Regular exercise can enhance nitric oxide signaling, improve antioxidant defenses, attenuate… More >

  • Open Access

    CASE REPORT

    Teapot ureterocystoplasty in posterior urethral valve and chronic kidney disease: a case report

    Geemitha Ratnayake*, Yaqoub Jafar, Bruno Leslie, Luis Henrique Braga*

    Canadian Journal of Urology, Vol.32, No.3, pp. 209-212, 2025, DOI:10.32604/cju.2025.064122 - 27 June 2025

    Abstract Background: Bladder augmentation is often necessary to address poorly compliant and low-capacity bladders which can result from Posterior Urethral Valve. Traditional techniques are limited by complications from using bowel tissue, thus in the setting of a megaureter, ureterocystoplasty is favorable. Methods: We present a case of Teapot ureterocystoplasty, which improves vascular protection of the ureter by leaving the distal 3 cm of the ureter tubularized. Cystograms demonstrated bladder capacity improvement from 50 mL to 180 mL post-operatively. Additionally, creatinine stabilized after a peak of 250 µmol/L. Result and Conclusion: This patient is doing well at 4.5-year More >

  • Open Access

    REVIEW

    Exploring the mechanistic role of epidermal growth factor receptor activation in non-cancer kidney disease

    JU-YEON LEE1, DAEUN MOON2, JINU KIM2,3,*

    BIOCELL, Vol.49, No.1, pp. 79-92, 2025, DOI:10.32604/biocell.2024.058340 - 24 January 2025

    Abstract The epidermal growth factor receptor (EGFR) is a transmembrane glycoprotein that plays a crucial role in signal transduction and cellular responses. This review explores the function of EGFR in kidney physiology and its implications for various kidney diseases. EGFR signaling is essential for kidney function and repair mechanisms, and its dysregulation significantly impacts both acute and chronic kidney conditions. The review discusses the normal distribution of EGFR in kidney tubular segments, the mechanism of its activation and inhibition, and the therapeutic potential of EGFR-targeting antagonists and ligands. Additionally, it explores the pathophysiological characteristics observed More >

  • Open Access

    ARTICLE

    Diosgenin inhibited podocyte pyroptosis in diabetic kidney disease by regulating the Nrf2/NLRP3 pathway

    YU TANG1, WENXIAO HU2,*, YAJUN PENG1, XIANGDONG LING2

    BIOCELL, Vol.48, No.10, pp. 1503-1516, 2024, DOI:10.32604/biocell.2024.052692 - 02 October 2024

    Abstract Background: Podocyte injury is crucial in diabetic kidney disease (DKD) progression, and the mechanism remains unclear. The previous studies indicated Diosgenin played a key role in inhibiting podocyte injury progression. However, more research is needed to explore Diosgenin in inhibiting-molecular mechanisms in the process of podocyte injury. Methods: The content of Diosgenin in HeShenwan was detected by High-Performance Liquid Chromatography-mass spectrometry (HPLC-MS) method. The podocyte injury model was constructed by high glucose (HG)-induced mpc5 cells. The Cell Counting Kit-8 (CCK-8) assay was utilized to evaluate the activity of mpc5 cells. Pyroptosis in mpc5 cells was… More > Graphic Abstract

    Diosgenin inhibited podocyte pyroptosis in diabetic kidney disease by regulating the Nrf2/NLRP3 pathway

  • Open Access

    CORRECTION

    Correction: Applying Customized Convolutional Neural Network to Kidney Image Volumes for Kidney Disease Detection

    Ali Altalbe1,2,*, Abdul Rehman Javed3

    Computer Systems Science and Engineering, Vol.48, No.4, pp. 1075-1081, 2024, DOI:10.32604/csse.2024.054179 - 17 July 2024

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Improving Prediction of Chronic Kidney Disease Using KNN Imputed SMOTE Features and TrioNet Model

    Nazik Alturki1, Abdulaziz Altamimi2, Muhammad Umer3,*, Oumaima Saidani1, Amal Alshardan1, Shtwai Alsubai4, Marwan Omar5, Imran Ashraf6,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3513-3534, 2024, DOI:10.32604/cmes.2023.045868 - 11 March 2024

    Abstract Chronic kidney disease (CKD) is a major health concern today, requiring early and accurate diagnosis. Machine learning has emerged as a powerful tool for disease detection, and medical professionals are increasingly using ML classifier algorithms to identify CKD early. This study explores the application of advanced machine learning techniques on a CKD dataset obtained from the University of California, UC Irvine Machine Learning repository. The research introduces TrioNet, an ensemble model combining extreme gradient boosting, random forest, and extra tree classifier, which excels in providing highly accurate predictions for CKD. Furthermore, K nearest neighbor (KNN) More >

  • Open Access

    ARTICLE

    Applying Customized Convolutional Neural Network to Kidney Image Volumes for Kidney Disease Detection

    Ali Altalbe1,2,*, Abdul Rehman Javed3

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 2119-2134, 2023, DOI:10.32604/csse.2023.040620 - 28 July 2023

    Abstract Kidney infection is a severe medical issue affecting individuals worldwide and increasing mortality rates. Chronic Kidney Disease (CKD) is treatable during its initial phases but can become irreversible and cause renal failure. Among the various diseases, the most prevalent kidney conditions affecting kidney function are cyst growth, kidney tumors, and nephrolithiasis. The significant challenge for the medical community is the immediate diagnosis and treatment of kidney disease. Kidney failure could result from kidney disorders like tumors, stones, and cysts if not often identified and addressed. Computer-assisted diagnostics are necessary to support clinicians’ and specialists’ medical… More >

  • Open Access

    REVIEW

    Anti-fibrotic and anti-inflammatory effect of mesenchymal stromal cell-derived extracellular vesicles in chronic kidney disease

    GIULIA CHIABOTTO1,*, STEFANIA BRUNO2,*

    BIOCELL, Vol.47, No.7, pp. 1499-1508, 2023, DOI:10.32604/biocell.2023.028121 - 21 June 2023

    Abstract Renal fibrosis and inflammation are common pathological features of chronic kidney disease (CKD). Since currently available treatments can only delay the progression of CKD, the outcome of patients with CKD is still poor. One therapeutic option for the prevention of CKD-related complications could be the use of mesenchymal stromal cells (MSCs), which have shown beneficial effects in tissue fibrosis and regeneration after damage. However, safety issues, such as cellular rejection and carcinogenicity, limit their clinical application. Among the bioactive factors secreted by MSCs, extracellular vesicles (EVs) have shown the same beneficial effect of MSCs, without More > Graphic Abstract

    Anti-fibrotic and anti-inflammatory effect of mesenchymal stromal cell-derived extracellular vesicles in chronic kidney disease

  • Open Access

    ARTICLE

    Secured Framework for Assessment of Chronic Kidney Disease in Diabetic Patients

    Sultan Mesfer Aldossary*

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3387-3404, 2023, DOI:10.32604/iasc.2023.035249 - 15 March 2023

    Abstract With the emergence of cloud technologies, the services of healthcare systems have grown. Simultaneously, machine learning systems have become important tools for developing matured and decision-making computer applications. Both cloud computing and machine learning technologies have contributed significantly to the success of healthcare services. However, in some areas, these technologies are needed to provide and decide the next course of action for patients suffering from diabetic kidney disease (DKD) while ensuring privacy preservation of the medical data. To address the cloud data privacy problem, we proposed a DKD prediction module in a framework using cloud… More >

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