International Urology and Nephrology最新文献

{"title":"Mesenchymal stem cell-derived exosomes in renal ischemia-reperfusion injury: a new therapeutic strategy.","authors":"Bo Zhao, Zhenwang Zhang, Xiying Guo, Xiufen Liu, Min Lei, Shuang Guo, Qing Yao, Feixue Zhang, Tie Peng, Aimei Liu, Botao Jiang, Dan Zhu","doi":"10.1007/s11255-024-04258-4","DOIUrl":"10.1007/s11255-024-04258-4","url":null,"abstract":"<p><p>Renal ischemia-reperfusion injury (RIRI) is a serious kidney condition that causes significant damage due to lack of blood flow. This injury leads to oxidative stress and inflammation, which can cause acute tubular necrosis and kidney failure. Stem cell-derived exosomes, small vesicles released by stem cells, have shown promise in treating RIRI. Mesenchymal stem cells (MSCs) have been used to mitigate RIRI, and their exosomes have been found to play a crucial role in repairing damaged tissues. This review explores the key roles of exosomes from different sources of MSCs in RIRI, the potential of MSC-derived exosomes in treating this disease, and future research directions.</p>","PeriodicalId":14454,"journal":{"name":"International Urology and Nephrology","volume":" ","pages":"875-884"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142620759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pioneering comfort in kidney biopsies: the role of hypnosis, virtual reality, and artificial intelligence.","authors":"Umer Bin Shahzad, Ume Aiman, Muhammad Ahmed","doi":"10.1007/s11255-024-04218-y","DOIUrl":"10.1007/s11255-024-04218-y","url":null,"abstract":"","PeriodicalId":14454,"journal":{"name":"International Urology and Nephrology","volume":" ","pages":"1033-1034"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Total tubeless percutaneous nephrolithotomy without retrograde insertion of a ureteral catheter for the treatment of kidney stone patients without hydronephrosis: a randomized controlled trial.","authors":"Xiaowen Fu, Wei Hu, Weiming Deng, Wei Jin, Xiongbing Zu, Guoqiang Zhu, Mingyong Li","doi":"10.1007/s11255-024-04252-w","DOIUrl":"10.1007/s11255-024-04252-w","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the safety and efficacy of total tubeless percutaneous nephrolithotomy (PCNL) without retrograde insertion of a ureteral catheter for the treatment of kidney stone patients without hydronephrosis.</p><p><strong>Methods: </strong>This prospective randomized controlled study at a tertiary care medical center was conducted from August 2019 to April 2023. Kidney stone patients diagnosed by computed tomography (CT) without significant hydronephrosis were randomly assigned to two groups: total tubeless PCNL without retrograde insertion of a ureteral catheter (group 1) and traditional PCNL (group 2). The primary endpoint was postoperative complications, while the secondary endpoints included the stone-free rate (SFR), operative time, length of postoperative hospital stay, and medical costs.</p><p><strong>Results: </strong>A total of 99 patients were recruited, including 50 patients in group 1 and 49 patients in group 2. There were no significant differences in postoperative complications and SFR between the two groups (P > 0.05). However, relative to group 2, patients in group 1 had significantly shorter operative time (58.5 ± 25.39 min vs. 82.98 ± 26.02 min, P < 0.001) and length of postoperative hospital stay (1.98 ± 1.72 days vs. 4.39 ± 2.95 days, P < 0.001), as well as significantly lower medical costs (3190.30 ± 590.58 dollars vs. 3552.78 ± 967.79 dollars, P = 0.03).</p><p><strong>Conclusion: </strong>Total tubeless PCNL without retrograde insertion of a ureteral catheter for the treatment of kidney stone patients without hydronephrosis is safe and effective for urologists with extensive experience in PCNL.</p><p><strong>Trial registration: </strong>chictr.org.cn identifier, ChiCTR2000040884, date of registration: 13/12/2020, retrospectively registered.</p>","PeriodicalId":14454,"journal":{"name":"International Urology and Nephrology","volume":" ","pages":"759-767"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142500542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does the hemodialysis program affect the testosterone serum level in patients with end-stage renal disease?","authors":"Mahmoud Mustafa, Imad Khaznah, Donya Hrezat, Lama Abu Obaida, Amir Aghbar","doi":"10.1007/s11255-024-04265-5","DOIUrl":"10.1007/s11255-024-04265-5","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to evaluate the effect of high flux membrane hemodialysis on total serum testosterone (TST) levels in male patients with end-stage renal disease (ESRD).</p><p><strong>Methods: </strong>The study included 60 male ESRD patients with a mean age of 54.02 ± 13.40 years, undergoing a standard hemodialysis program et al. Najah National University Hospital. All patients underwent three weekly sessions of four hours each using high flux membrane hemodialysis. TST and hematocrit (Hct) levels were measured before and after hemodialysis. Patients with prostate cancer, liver insufficiency, prior prostate surgery, or those on androgen therapy were excluded. The study assessed changes in TST and Hct levels and their correlation.</p><p><strong>Results: </strong>Post-dialysis, there was a significant increase in serum testosterone levels from 3.13 ± 1.44 ng/ml to 4.17 ± 2.04 ng/ml (r = 0.78, p = 0.001). Hematocrit levels also rose significantly from 32.31% ± 3.90% to 35.27% ± 4.89% (r = 0.754, p = 0.001). The percentage change in TST and Hct levels was 35 ± 0.33% and 9 ± 0.1%, respectively, with a correlation between these changes (r = 0.277, p = 0.032).</p><p><strong>Conclusion: </strong>High flux membrane dialysis did not filter testosterone molecules, and the significant increase in TST levels post-dialysis is likely due to hemoconcentration. Since many patients had low or borderline TST levels before dialysis, androgen supplementation may offer clinical benefits.</p>","PeriodicalId":14454,"journal":{"name":"International Urology and Nephrology","volume":" ","pages":"785-791"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142545424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does the hemodialysis program affect the prostate-specific antigen (PSA) serum levels in patients with end-stage renal disease (ESRD)? A cross-sectional descriptive study.","authors":"Mahmoud Mustafa, Kamel Jebrin, Duha Sameeh Abuajina, Reem Nazmi Samarah, Amir Aghbar","doi":"10.1007/s11255-024-04267-3","DOIUrl":"10.1007/s11255-024-04267-3","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to investigate the effect of high-flux membrane hemodialysis on total prostate-specific antigen (tPSA) serum levels in hemodialysis patients and to evaluate the clinical significance of any observed changes.</p><p><strong>Methods: </strong>A cross-sectional descriptive study was conducted involving 75 hemodialysis patients at An-Najah National University Hospital. tPSA and hematocrit (Hct) serum levels were measured before and after one hemodialysis session. The correlation between changes in tPSA and Hct levels was analyzed using the Statistical Package for Social Sciences (SPSS).</p><p><strong>Results: </strong>The mean age of the patients was 54.25 ± 15.27 years, with a mean hemodialysis duration of 40 ± 38 months. The mean tPSA levels before and after hemodialysis were 0.95 ± 0.81 ng/ml and 1.15 ± 0.96 ng/ml, respectively. Significant increases were observed in both tPSA (t = -3.264, p = 0.002) and Hct levels (t = -7.861, p < 0.001). The percentage changes in tPSA and Hct were 20% and 12%, respectively, with no significant correlation between the changes (r = 0.152, p = 0.215).</p><p><strong>Conclusions: </strong>Hemodialysis significantly elevates tPSA serum levels; however, no significant correlation was found between changes in tPSA and Hct. None of the patients showed clinically significant elevations in tPSA that would necessitate prostate biopsy. Therefore, high-flux membrane hemodialysis does not appear to compromise the diagnostic value of tPSA in hemodialysis patients.</p>","PeriodicalId":14454,"journal":{"name":"International Urology and Nephrology","volume":" ","pages":"793-799"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142581683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential next generation markers of testicular germ cell tumors: miRNA-371a-3p.","authors":"Shan Zujuan, Deng Xin, Hongping Yang, Zhang Guifu","doi":"10.1007/s11255-024-04284-2","DOIUrl":"10.1007/s11255-024-04284-2","url":null,"abstract":"<p><strong>Background: </strong>Testicular germ cell tumors (TGCTs) account for approximately 98% of all testicular cancers, predominantly affecting young to middle-aged men. Early diagnosis and treatment result in a cure rate of over 95%. However, conventional serum tumor markers (STMs) such as alpha-fetoprotein (AFP), β-human chorionic gonadotropin (β-hCG), and lactate dehydrogenase (LDH), which are recommended by NCCN and EAU guidelines, have limited sensitivity, often below 60%, which diminishes their clinical utility. Recently, miRNA-371a-3p, an embryonic stem cell-associated microRNA, has been identified as being specifically expressed in TGCTs. This microRNA can be reliably detected in peripheral blood and fulfills all seven Lange-Winfield criterias for tumor markers. Notably, miRNA-371a-3p has demonstrated superior diagnostic, therapeutic, and follow-up capabilities compared to conventional STMs in TGCTs. Its potential to replace conventional STMs in clinical practice is already recognized in several clinical guidelines.</p><p><strong>Methods: </strong>A PubMed search using subject headings and free-text terms related to MicroRNA-371a-3p in TGCT management was conducted. Relevant references were also tracked, and key studies were reviewed based on predefined exclusion criteria.</p><p><strong>Results: </strong>Out of 368 identified studies, 67 met inclusion criteria. These studies focused on MicroRNA-371a-3p's discovery, detection methods, diagnostic utility in TGCTs, and cost-effectiveness. First identified over a decade ago, microRNA-371a-3p is now established as a highly specific blood-based marker for TGCTs, valuable for diagnosis, monitoring, and follow-up, and more cost-effective than conventional STMs.</p><p><strong>Conclusions: </strong>MicroRNA-371a-3p is a promising, highly sensitive marker for TGCTs, offering better performance and cost efficiency than conventional STMs, likely to become the next-generation diagnostic tool for TGCTs.</p>","PeriodicalId":14454,"journal":{"name":"International Urology and Nephrology","volume":" ","pages":"691-700"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142686881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Managing acute kidney injury: Evaluating amino acid infusion and conventional therapies.","authors":"Muhammad Shaheer Bin Faheem, Naba Jahangir, Muhammad Hassaan Malik, Faheem Feroze","doi":"10.1007/s11255-024-04219-x","DOIUrl":"10.1007/s11255-024-04219-x","url":null,"abstract":"","PeriodicalId":14454,"journal":{"name":"International Urology and Nephrology","volume":" ","pages":"1035-1036"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142346792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research hotspots and frontiers of machine learning in renal medicine: a bibliometric and visual analysis from 2013 to 2024.","authors":"Feng Li, ChangHao Hu, Xu Luo","doi":"10.1007/s11255-024-04259-3","DOIUrl":"10.1007/s11255-024-04259-3","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The kidney, an essential organ of the human body, can suffer pathological damage that can potentially have serious adverse consequences on the human body and even affect life. Furthermore, the majority of kidney-induced illnesses are frequently not readily identifiable in their early stages. Once they have progressed to a more advanced stage, they impact the individual's quality of life and burden the family and broader society. In recent years, to solve this challenge well, the application of machine learning techniques in renal medicine has received much attention from researchers, and many results have been achieved in disease diagnosis and prediction. Nevertheless, studies that have conducted a comprehensive bibliometric analysis of the field have yet to be identified.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objectives: &lt;/strong&gt;This study employs bibliometric and visualization analyses to assess the progress of the application of machine learning in the renal field and to explore research trends and hotspots in the field.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A search was conducted using the Web of Science Core Collection database, which yielded articles and review articles published from the database's inception to May 12, 2024. The data extracted from these articles and review articles were then analyzed. A bibliometric and visualization analysis was conducted using the VOSviewer, CiteSpace, and Bibliometric (R-Tool of R-Studio) software.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;2,358 papers were retrieved and analyzed for this topic. From 2013 to 2024, the number of publications and the frequency of citations in the relevant research areas have exhibited a consistent and notable increase annually. The data set comprises 3734 institutions in 91 countries and territories, with 799 journals publishing the results. The total number of authors contributing to the data set is 14,396. China and the United States have the highest number of published papers, with 721 and 525 papers, respectively. Harvard University and the University of California System exert the most significant influence at the institutional level. Regarding authors, Cheungpasitporn, Wisit, and Thongprayoon Charat of the Mayo Clinic organization were the most prolific researchers, with 23 publications each. It is noteworthy that researcher Breiman I had the highest co-citation frequency. The journal with the most published papers was \"Scientific Reports,\" while \"PLoS One\" had the highest co-citation frequency. In this field of machine learning applied to renal medicine, the article \"A Clinically Applicable Approach to Continuous Prediction of Future Acute Kidney Injury\" by Tomasev N et al., published in NATURE in 2019, emerged as the most influential article with the highest co-citation frequency. A keyword and reference co-occurrence analysis reveals that current research trends and frontiers in nephrology are the management of patients with renal disease, prediction and diagnosis of r","PeriodicalId":14454,"journal":{"name":"International Urology and Nephrology","volume":" ","pages":"907-928"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142545340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting the risk of pulmonary infection after kidney transplantation using machine learning methods: a retrospective cohort study.","authors":"Xiaoting Wu, Hailing Zhang, Minglong Cai, Ying Zhang, Anlan Xu","doi":"10.1007/s11255-024-04264-6","DOIUrl":"10.1007/s11255-024-04264-6","url":null,"abstract":"<p><strong>Purpose: </strong>Pulmonary infection is the most common and serious complication after kidney transplantation that affects the survival of the transplanted kidney and the quality of life of patients. This study aims to construct a machine learning model for predicting the risk of pulmonary infection after kidney transplantation.</p><p><strong>Methods: </strong>We recruited 857 kidney transplant recipients from January 1, 2016, to December 31, 2021, in the Department of Nephrology, the First Affiliated Hospital of the University of Science and Technology of China. First, the distribution of baseline characteristics between patients with and without postoperative pulmonary infections was analyzed. Subsequently, six machine learning models were constructed to predict the risk of postoperative pulmonary infections. Finally, these models were subjected to external validation using an independent cohort. The performance of the models was evaluated by area under the receiver operating characteristic curve (AUC).</p><p><strong>Results: </strong>Among kidney transplant recipients, a total of 186 individuals developed pneumonia, with 144 cases in the training cohort and 42 cases in the external validation cohort. The AUC range of the six machine learning models for predicting the risk of postoperative pulmonary infection was 0.758-0.822 for the training cohort and 0.642-0.795 for the testing cohort. Among the models assessed, the gradient boosting machine demonstrated the most favorable predictive accuracy.</p><p><strong>Conclusions: </strong>Our study has developed a predictive model for assessing the risk of pulmonary infection after kidney transplantation, thereby providing a valuable foundation for the effective management of kidney transplant recipients.</p>","PeriodicalId":14454,"journal":{"name":"International Urology and Nephrology","volume":" ","pages":"947-955"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142564207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of body round index with chronic kidney disease: a population-based cross-sectional study from NHANES 1999-2018.","authors":"Hongliang Cao, Chengdong Shi, Zulipikaer Aihemaiti, Xianyu Dai, Fangqiu Yu, Song Wang","doi":"10.1007/s11255-024-04275-3","DOIUrl":"10.1007/s11255-024-04275-3","url":null,"abstract":"<p><strong>Background: </strong>Complex nexuses between obesity and chronic kidney disease (CKD) have been reported. Nevertheless, the link between the body roundness index (BRI), an indicator utilized to measure body fat distribution, and CKD risk has been unexplored.</p><p><strong>Methods: </strong>We utilized publicly available data from ten survey cycles (1999-2018) of the National Health and Nutrition Examination Survey (NHANES) in the United States. We examined the association between BRI and CKD risk using multivariable logistic regression, subgroup analysis, interaction tests, and smooth curve fitting.</p><p><strong>Results: </strong>The study ultimately involved 41,953 participants, 3,123 (7.44%) of whom had CKD. Multivariable logistic regression, adjusted for covariates, identified high BRI levels in quartile 4 as a risk factor for CKD (OR = 1.30, 95% CI 1.12-1.50, P = 0.0005). This association remained consistent across subgroups (P for interaction > 0.05). Smoothed curve fitting exhibited a roughly linear positive correlation between BRI and CKD.</p><p><strong>Conclusion: </strong>According to our study, BRI was related to CKD in a roughly linear way, suggesting a novel indicator for improving prevention and treatment for the CKD population. Nevertheless, additional research is needed to identify the association.</p>","PeriodicalId":14454,"journal":{"name":"International Urology and Nephrology","volume":" ","pages":"965-971"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142581492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}