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  • Open Access

    ARTICLE

    Donor-gifted nephrolithiasis: case-based analysis and comparative study

    Maxwell Sandberg1,*, Mark Xu1, Randall Bissette1, Jacob Malakismail2, Niara East3, Robenson Nguyen4, Jackson Nowatzke1, Robert Stratta5, Dean Assimos1,6, Colin Kleinguetl1

    Canadian Journal of Urology, Vol.32, No.6, pp. 633-641, 2025, DOI:10.32604/cju.2025.069091 - 30 December 2025

    Abstract Objectives: Donor-gifted nephrolithiasis—the presence of a stone in a donor kidney at the time of transplantation—is rare. Research is limited, and no consensus high-quality evidence guidelines exist, leaving selection criteria and management to individual provider discretion. We aimed to estimate the frequency and analyze patient and graft outcomes of deceased donor (DD) transplant recipients with stones in their kidneys at Wake Forest Baptist Medical Center. Methods: All DD renal transplants or patients receiving most of their care postoperatively after DD renal transplantation at our institution from 1979 to 2025 were reviewed. Stones were considered donor-gifted… More >

  • Open Access

    ARTICLE

    An Explainable Deep Learning Framework for Kidney Cancer Classification Using VGG16 and Layer-Wise Relevance Propagation on CT Images

    Asma Batool1, Fahad Ahmed1, Naila Sammar Naz1, Ayman Altameem2, Ateeq Ur Rehman3,4, Khan Muhammad Adnan5,*, Ahmad Almogren6,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4129-4152, 2025, DOI:10.32604/cmes.2025.073149 - 23 December 2025

    Abstract Early and accurate cancer diagnosis through medical imaging is crucial for guiding treatment and enhancing patient survival. However, many state-of-the-art deep learning (DL) methods remain opaque and lack clinical interpretability. This paper presents an explainable artificial intelligence (XAI) framework that combines a fine-tuned Visual Geometry Group 16-layer network (VGG16) convolutional neural network with layer-wise relevance propagation (LRP) to deliver high-performance classification and transparent decision support. This approach is evaluated on the publicly available Kaggle kidney cancer imaging dataset, which comprises labeled cancerous and non-cancerous kidney scans. The proposed model achieved 98.75% overall accuracy, with precision, More >

  • Open Access

    ARTICLE

    Esculetin Ameliorates Cisplatin-Induced Acute Kidney Injury by Inhibiting Inflammation, Oxidative Stress, and Tubular Cell Death in Mice

    Jung-Yeon Kim#, Min Hui Park#, Kiryeong Kim, Jaechan Leem*

    BIOCELL, Vol.49, No.11, pp. 2147-2166, 2025, DOI:10.32604/biocell.2025.070188 - 24 November 2025

    Abstract Background: Cisplatin (CDDP) is a cornerstone chemotherapeutic agent for many solid tumors, but its clinical use is severely limited by dose-dependent nephrotoxicity, which results in acute kidney injury (AKI) in a significant proportion of patients. CDDP-induced AKI involves interconnected mechanisms, including inflammation, oxidative stress, and tubular cell death. In this study, we aimed to investigate the renoprotective effects of esculetin (ES), a natural antioxidant coumarin, in a murine model of CDDP-induced AKI. Methods: Male C57BL/6 mice (8–10 weeks) received a single intraperitoneal injection of CDDP (20 mg/kg) with or without ES (40 mg/kg/day, oral gavage).… More >

  • Open Access

    REVIEW

    Next-Generation Deep Learning Approaches for Kidney Tumor Image Analysis: Challenges, Clinical Applications, and Future Perspectives

    Neethu Rose Thomas1,2, J. Anitha2, Cristina Popirlan3, Claudiu-Ionut Popirlan3, D. Jude Hemanth2,*

    CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4407-4440, 2025, DOI:10.32604/cmc.2025.070689 - 23 October 2025

    Abstract Integration of artificial intelligence in image processing methods has significantly improved the accuracy of the medical diagnostics pathway for early detection and analysis of kidney tumors. Computer-assisted image analysis can be an effective tool for early diagnosis of soft tissue tumors located remotely or in inaccessible anatomical locations. In this review, we discuss computer-based image processing methods using deep learning, convolutional neural networks (CNNs), radiomics, and transformer-based methods for kidney tumors. These techniques hold significant potential for automated segmentation, classification, and prognostic estimation with high accuracy, enabling more precise and personalized treatment planning. Special focus More >

  • 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

    ARTICLE

    Improving surgical outcome reporting in lithiasis surgery: a comparative analysis of comprehensive complication index and clavien-dindo classification

    Stamatios Katsimperis1,*, Lazaros Tzelves1, Georgios Feretzakis2, Themistoklis Bellos1, Panagiotis Deligiannis1, Andreas Skolarikos1, Athanasios Papatsoris1, Iraklis Mitsogiannis1

    Canadian Journal of Urology, Vol.32, No.4, pp. 271-282, 2025, DOI:10.32604/cju.2025.066395 - 29 August 2025

    Abstract Background: Accurate complication reporting in endourology remains challenging, with the Clavien-Dindo Classification and Comprehensive Complication Index being the most commonly used systems. This study aimed to compare surgical outcomes and complication reporting in ureterolithotripsy (URL), percutaneous nephrolithotomy (PCNL), and extracorporeal shock wave lithotripsy (ESWL) using both systems. Methods: This prospective, single-center, non-interventional study included 473 patients undergoing URL, PCNL, or ESWL from October 2022 to October 2024. Demographic, stone-related, and procedural variables were recorded. Complications were classified using the CDC, and cumulative morbidity was assessed using CCI. Statistical analyses, including univariate and multivariate regression, were… More >

  • Open Access

    CASE REPORT

    Tumor-to-tumor metastasis: case report of a neuroendocrine tumor of the lung metastasizing to a benign oncocytoma of the kidney

    Siddharth Marthi1,*, Muhammad Mukarram1, Fatemeh Ardeshir-Larijani2, Lara Rabih Harik3, Shreyas Subhash Joshi1,2

    Canadian Journal of Urology, Vol.32, No.4, pp. 349-353, 2025, DOI:10.32604/cju.2025.063775 - 29 August 2025

    Abstract Tumor-to-tumor metastasis (TTM) is a rare phenomenon in which a secondary tumor colonizes within a primary tumor of a different histogenesis. It is hypothesized that TTM is encouraged by conditions that promote increased cell growth and division in the primary tumor, such as hypervascularity and expression of oncogenic cytokines. However, the exact causes of TTM likely vary on a case-by-case basis and are dependent on the microenvironment of both the primary and secondary tumors. Herein, we present the first reported example of TTM in which a pulmonary neuroendocrine tumor (NET) metastasizes to a renal oncocytoma. 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

    ARTICLE

    Exploring the Role of SGK1 in Kidney Physiology: Insights from Transcriptomic Analysis

    Chieh-Jen Wu1,#, Yu-He Li2,#, Hsin-Hung Chen3,*

    BIOCELL, Vol.49, No.5, pp. 857-872, 2025, DOI:10.32604/biocell.2025.064071 - 27 May 2025

    Abstract Background: Serum- and glucocorticoid-induced kinase 1 (SGK1) is a member of the serine/threonine kinase family, playing a crucial role in regulating ion channel function, hormone secretion, cellular growth, survival mechanisms, and neuronal activity. SGK1 is implicated in kidney diseases, hypertension, and metabolic syndromes, influencing salt intake, renal growth, and renal potassium (K+) excretion during mineralocorticoid overdose. Although SGK1’s renal functions have been explored, comprehensive identification of SGK1-related genes and signaling cascades remains limited. Objectives: This research sought to explore the cellular mechanisms and signaling pathways influenced by SGK1 in rat kidney cells. Methods: NRK-52E cells, derived… More >

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