Translational andrology and urology最新文献

{"title":"Novel anoikis-related genes for the diagnosis of non-obstructive azoospermia.","authors":"Xiaolian Xu, Jinlong Xie, Wenchang Cheng","doi":"10.21037/tau-2024-745","DOIUrl":"https://doi.org/10.21037/tau-2024-745","url":null,"abstract":"<p><strong>Background: </strong>Non-obstructive azoospermia (NOA) is a prevalent cause of male infertility, featured by the absence of sperm in the ejaculate due to impaired spermatogenesis. The involvement of anoikis in the pathogenesis of NOA remains inadequately understood. This research aims to identify anoikis-related genes as potential biomarkers for NOA diagnosis.</p><p><strong>Methods: </strong>Based on the Gene Expression Omnibus (GEO) database and Limma R package, we identified differentially expressed genes of NOA and downloaded anoikis-related genes based on the GeneCards database. Subsequently, anoikis-related hub genes were screened by machine learning (ML), and validated using external validation sets. A nomogram constructed from these genes demonstrated high predictive accuracy, while boxplots and complex heatmaps illustrated the differential expression patterns observed in NOA samples. Additionally, immune infiltration analysis was performed using the CIBERSORT algorithm to evaluate the distribution of immune cells in both NOA and control groups. The validation of candidate genes was conducted through receiver operating characteristic (ROC) curve analysis, with the area under the curve (AUC) indicating predictive accuracy.</p><p><strong>Results: </strong>Ultimately, we screened three hub genes: <i>GLO1</i>, <i>BAP1</i>, and <i>PLK1</i>. GLO1 was found to be up-regulated, while both BAP1 and PLK1 were down-regulated. Immune cell infiltration analysis elicited significant differences in 16 immune cell types between NOA patients and normal controls, with Tregs and macrophages notably up-regulated in NOA. ROC analysis indicated that all the three hub genes exhibited excellent diagnostic efficacy. Specifically, ROC curve analysis confirmed the diagnostic potential of GLO1, BAP1, and PLK1, yielding AUC values of 0.981, 0.980, and 0.981 in internal datasets, and 0.750, 0.875, and 1.000 in external datasets.</p><p><strong>Conclusions: </strong>By ML analysis, this research identified three anoikis-related genes that may be diagnostic biomarkers for NOA, offering views into the underlying molecular mechanisms and therapeutic targets.</p>","PeriodicalId":23270,"journal":{"name":"Translational andrology and urology","volume":"14 4","pages":"940-952"},"PeriodicalIF":1.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12076243/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The disease burden of kidney cancer in Asian countries and regions from 1990 to 2021: a study based on the Global Burden of Disease database.","authors":"Juan Chen, Tie Chong, Anxia Li, Yuanyang Yan, Lijun Wei","doi":"10.21037/tau-2024-652","DOIUrl":"https://doi.org/10.21037/tau-2024-652","url":null,"abstract":"<p><strong>Background: </strong>There are huge differences in the disease burden of kidney cancer (KC) between countries and regions in Asia. Therefore, we conducted this study to investigate the KC burden and attributable risk factors in Asia.</p><p><strong>Methods: </strong>We obtained data on the incidence, prevalence, mortality, disability adjusted life years, sociodemographic index (SDI), and attributable risk factors of KC in Asian countries and regions from 1990 to 2021 in the Global Burden of Disease database. Joinpoint regression was used to analyze the overall trend of the change in KC burden in Asia. The health inequalities of KC in Asia were evaluated. The correlation between SDI and KC burden was assessed. Autoregressive integrated moving average was used to predict the KC burden in the next 15 years. The age-period-cohort model evaluated the relative risk (RR) of the KC burden in different dimensions. In addition, frontier analyses were performed in this study. Finally, comprehensive analyses of the attributable risk factors of KC were performed.</p><p><strong>Results: </strong>The KC burden in Asia showed a significant upward trend from 1990 to 2021. The KC burden was mainly concentrated in relatively wealthy countries and regions (high SDI). In the next 15 years, the KC burden would rise further. The RR of KC generally increased with age and period, and decreased with birth cohorts. The most concerning risk factor for KC was high body mass index (HBMI), and the KC burden attributed to HBMI also indicated a significant upward trend and was positively correlated with SDI.</p><p><strong>Conclusions: </strong>The KC burden in Asian countries and regions is still rising. Therefore, targeted medical interventions are needed to improve early diagnosis and treatment of KC.</p>","PeriodicalId":23270,"journal":{"name":"Translational andrology and urology","volume":"14 4","pages":"1049-1065"},"PeriodicalIF":1.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12076240/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Penile cancer awareness and knowledge among adult patients in an ambulatory urology clinic.","authors":"Nick A Kamkari, Vadim Osadchiy, Erika L Wood, Kristen C Williams, Eduardo Piqueiras, Nicholas M Donin","doi":"10.21037/tau-2025-41","DOIUrl":"https://doi.org/10.21037/tau-2025-41","url":null,"abstract":"<p><p>Penile cancer (PeCa) is a rare urologic malignancy in the United States, and public awareness remains low. In this brief report, we design and execute a survey to evaluate knowledge and awareness of PeCa focusing on general PeCa knowledge, treatment options, and willingness to recommend a preventative intervention. Study participants were recruited with a study flyer from the waiting room of two Los Angeles community-based urology clinics. All patients were English-speaking and over 18 years old. Study recruitment took place from October 2021 to June 2022 and 83 participants were included. The majority of respondents were men (90%) and white (87%), with a mean age 63 years. Ninety-eight percent of respondents reported either knowing \"nothing\" or \"a little\" about PeCa; 69% of respondents did not know a person could get cancer on the penis. Knowledge of risk factors for PeCa was particularly poor, with respect to phimosis (5% correctly identified this as a risk factor), balanitis (28%), and human papilloma virus (HPV) (44%). The majority of respondents, however, reported that they would recommend administration of an HPV vaccine for the prevention of PeCa (89%) once informed of HPV as a risk factor. Our findings underscore the lack of knowledge and awareness of PeCa, which may contribute to future delays in care.</p>","PeriodicalId":23270,"journal":{"name":"Translational andrology and urology","volume":"14 4","pages":"1129-1137"},"PeriodicalIF":1.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12076246/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning based on automated 3D radiomics features to classify prostate cancer in patients with prostate-specific antigen levels of 4-10 ng/mL.","authors":"Yunxun Liu, Jiejun Wu, Xinmiao Ni, Qingyuan Zheng, Jingsong Wang, Hao Shen, Lei Wang, Rui Yang, Xiaodong Weng","doi":"10.21037/tau-2024-731","DOIUrl":"https://doi.org/10.21037/tau-2024-731","url":null,"abstract":"<p><strong>Background: </strong>It can be difficult to decide clinically whether males with prostate-specific antigen (PSA) levels between 4 and 10 ng/mL should be suggested for a biopsy. This study aimed to develop a fully-automated magnetic resonance imaging (MRI) based prediction model for patients with PSA levels of 4-10 ng/mL to predict prostate cancer (PCa) preoperatively and reduce unnecessary biopsies.</p><p><strong>Methods: </strong>A retrospective study of 574 patients with PSA of 4-10 ng/mL was conducted, split into training (n=434) and testing (n=108) groups. A no-new-Net (nnU-net) model was trained for three-dimensional (3D) prostate segmentation on T2-weighted fast spin echo (T2FSE) MRI sequences and 1,595 radiomics features were extracted with PyRadiomics. There were 113 machine learning approaches compared to construct a radiomics model after features selection. The diagnostic performance of the model was compared with PSA and PSA density (PSAD).</p><p><strong>Results: </strong>The nnU-net model achieved relatively higher accuracy of segmentation for the prostate region in various datasets. The average dice was 95.33%, the average relative volume error (RVE) was 1.57%, and the average 95% Hausdorff distance (HD95) value was 2.73 mm. The radiomics model [area under the curve (AUC): 0.938; 95% confidence interval (CI): 0.916-0.960] shows superior accuracy to PSA (AUC: 0.542; 95% CI: 0.474-0.611) and PSAD (AUC: 0.718; 95% CI: 0.659-0.777) in predicting PCa (P<0.05).</p><p><strong>Conclusions: </strong>The automated 3D radiomics model holds the potential to reduce unnecessary biopsies and aid urologists in managing patients with PSA levels of 4-10 ng/mL.</p>","PeriodicalId":23270,"journal":{"name":"Translational andrology and urology","volume":"14 4","pages":"1025-1035"},"PeriodicalIF":1.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12076250/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Magnetic resonance imaging for computer-assisted device guidance in transperineal prostate biopsy and cryoablation.","authors":"Thomas Lilieholm, Walter F Block, Erica Knavel Koepsel","doi":"10.21037/tau-2024-635","DOIUrl":"https://doi.org/10.21037/tau-2024-635","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Magnetic resonance imaging (MRI) guided, minimally invasive transperineal interventions have been shown to produce positive clinical outcomes, specifically regarding prostate biopsy and cryoablation of prostate cancer. Many vendors, however, do not provide guidance to clinicians as to how their devices, biopsy needles and cryoprobes should be inserted during procedures. As a result, many leading research institutions have developed in-house solutions for needle insertion guidance. Institutions with less research and engineering support may find the development of their own in-house solutions infeasible, leading to a gap in clinical practice. Our purpose was to develop a replicable toolset using minimal hardware and software to facilitate MRI-guided prostate biopsy and cryoablation. The toolset was validated first in a series of phantom trials, then in a clinical cohort of 24 patients from a single institution.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This study utilized a grid-like rigid trajectory guide coupled with custom software to simulate in phantoms, and then perform on patients, prostate-focused interventional procedures using a closed bore General Electric 450W scanner. Only standard imaging sequences were employed, allowing this work to be generalizable between different scanners with no additional setup. Interventionalists imported the coordinates of the targets in the prostate and the 3 saline-filled fiducial markers on the grid into custom software, which then identified the grid hole and depth of insertion necessary to drive needles to the targeted points. In phantom trials, the targeting error of each insertion was logged. All patients enrolled in the study were men over the age of 50 years with either biopsy-confirmed prostate cancer with magnetic resonance (MR)-visible lesions or prostatic fluid collection. Each patient was reviewed by a multidisciplinary focal prostate therapy team consisting of one interventional radiologist and two urologists. Patients were seen in interventional radiology and urology clinics. During each procedure the number of needle insertions and adjustments was tracked to better evaluate accuracy in clinical practice.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The targeting grid and software allowed rapid, repeatable needle insertions with a mean error of 1.05 mm and a standard deviation 0.38 mm. Across 24 prostate-focused procedures (9 biopsies, 14 cryoablations, 1 fluid aspiration), the tools guided interventionalists on their initial insertion of biopsy needles or cryoprobes. In an average procedure, 81.8% of the inserted needles required no adjustment from their first insertion. All procedures achieved technical success during the intervention, satisfying the leading clinician's standards for biopsy sample collection and/or ablation coverage.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Phantom and patient trials found that the proposed tools and techniques enabled clinicians to quickly and accurat","PeriodicalId":23270,"journal":{"name":"Translational andrology and urology","volume":"14 4","pages":"928-939"},"PeriodicalIF":1.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12076241/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification and validation of glycosyltransferase-related gene signatures to predict prognosis and immunological characteristics of renal clear cell carcinoma.","authors":"Min Ma, Ting Huang, Zekun Xu, Min Xu","doi":"10.21037/tau-2025-21","DOIUrl":"https://doi.org/10.21037/tau-2025-21","url":null,"abstract":"<p><strong>Background: </strong>Clear cell renal cell carcinoma (ccRCC) is more prone to metastasis and is associated with a poorer prognosis than renal cell carcinoma (RCC). Numerous studies have reported a correlation between the expression of glycosyltransferases (GTs)-related genes and tumor. We aimed to establish a risk model based on GTs-related genes in ccRCC, and explore their correlation with tumor immune characteristics and treatment sensitivity.</p><p><strong>Methods: </strong>The messenger ribonucleic acid (mRNA) expression data were retrieved from The Cancer Genome Atlas (TCGA). Univariate, least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression were used to construct prognostic model. Kaplan-Meier survival and receiver operating characteristic (ROC) curves were used to evaluate the accuracy of the model. Calibration curves and decision curve analysis (DCA) curves were used to evaluate the model. The quantitative real-time polymerase chain reaction (qRT-PCR) was applied to detect the expression of the signature genes in human renal epithelial cells and human renal cancer cells. The ESTIMATE algorithm was used to estimate the immune scores in tumor tissues. Single-sample gene set enrichment analysis (ssGSEA) was used to evaluate the immune microenvironment. Tumor Immune Dysfunction and Exclusion (TIDE) and immune checkpoint analysis were used to assess the benefit of immunotherapy. Tumor mutational burden (TMB) analysis was used to calculate the frequency of gene mutations. Susceptibility to anticancer drugs in different risk groups was also analyzed.</p><p><strong>Results: </strong>Four signature genes were identified as potential biomarkers, and the prognostic model demonstrated good predictive performance. qRT-PCR results were consistent with the actual predictions, confirming the credibility of the signature genes. The high- and low-risk groups exhibited different abundance and enrichment of immune cell infiltration. The high-risk group exhibited a higher frequency of tumor mutations than the low-risk group. TIDE and drug sensitivity analysis results demonstrated appropriate treatments for different risk groups, respectively.</p><p><strong>Conclusions: </strong>A prognostic model for ccRCC with four signature genes, was established and demonstrated high predictive performance. Four signature genes provided a foundation for studying the mechanism of GTs-related genes in ccRCC progression.</p>","PeriodicalId":23270,"journal":{"name":"Translational andrology and urology","volume":"14 4","pages":"986-1004"},"PeriodicalIF":1.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12076249/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144079809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Three-dimensional measurement and analysis of the compressor urethrae and urethra in postpartum women.","authors":"Yankun Feng, Guibing He, Shihan Fu, Yangzhi Hu, Qiben Wang, Lidong Zhai, Rui Yu","doi":"10.21037/tau-2024-695","DOIUrl":"https://doi.org/10.21037/tau-2024-695","url":null,"abstract":"<p><strong>Background: </strong>The position and lines of the compressor urethrae, as well as the different segments and morphological characteristics of the compressor urethrae and urethra have not been systematically characterized. This study thus aimed to quantify the lines, thickness, volume, surface area, and position of the compressor urethrae, as well as the thickness, volume, and surface area in the upper, middle, and lower urethra, in postpartum females via three-dimensional (3D) measurement and analysis methods.</p><p><strong>Methods: </strong>This retrospective study included a total of 90 postpartum women. The 3D models of compressor urethrae and urethra were constructed based on the imaging pictures of these women. The indicators that were analyzed in a 3D plane included volume, surface area, thickness, and diameter lines of the compressor urethrae; the ratio of the compressor urethrae length (CUL) to the urethral length (UL); the distance between the compressor urethrae and the pubic symphysis; the volume, surface area, and thickness of urethra and its different segments; the UL; and the urethral inclination angle (UIA). These indicators were compared between a postpartum-stress urinary incontinence (SUI) group and a control group. Differences in indicators between the segments of urethra were compared. The relationship between related indicators of the compressor urethrae and of the urethra with age was determined.</p><p><strong>Results: </strong>The length, width, and volume of the compressor urethrae in the control group were 23.24±3.29 mm, 24.61±3.79 mm, and 1.47±0.49 cm³, respectively. The upper, middle and lower regions of the urethral volume in the control group were 2.58±0.59, 2.10±0.32, and 0.84±0.37 cm³, respectively. The volume and thickness of the compressor urethrae, the CUL, and volume of the upper and middle regions of the urethra in the control group were significantly larger than those in the SUI group (P=0.002, P=0.02, P=0.01, P=0.003, and P<0.001, respectively). The volume and surface area of middle urethra were significantly larger than those of the lower urethra (P<0.001 and P<0.001, respectively). The compressor urethrae volume (r=-0.506; P=0.004), compressor urethrae surface area (r=-0.523; P=0.003), middle urethral volume (r=-0.403; P=0.03), and middle urethral thickness (r=-0.629; P<0.001) were negatively correlated with age.</p><p><strong>Conclusions: </strong>This study provides reference criteria for the volume, thickness, and surface area of different portions of the compressor urethrae and urethra. The upper and middle urethra may be particularly significant to female urinary continence. Meanwhile, strengthening of the compressor urethrae might help treat female urinary continence.</p>","PeriodicalId":23270,"journal":{"name":"Translational andrology and urology","volume":"14 4","pages":"1036-1048"},"PeriodicalIF":1.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12076226/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vibegron for overactive bladder in men with benign prostatic hyperplasia/obstruction: insights from the COURAGE trial.","authors":"Hossein Saadat, Naeem Bhojani, Dean Elterman, Bilal Chughtai","doi":"10.21037/tau-2024-759","DOIUrl":"https://doi.org/10.21037/tau-2024-759","url":null,"abstract":"","PeriodicalId":23270,"journal":{"name":"Translational andrology and urology","volume":"14 4","pages":"888-892"},"PeriodicalIF":1.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12076223/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The patients have spoken: how does enfortumab vedotin impact quality of life?","authors":"Jason R Brown","doi":"10.21037/tau-2025-45","DOIUrl":"https://doi.org/10.21037/tau-2025-45","url":null,"abstract":"","PeriodicalId":23270,"journal":{"name":"Translational andrology and urology","volume":"14 4","pages":"868-871"},"PeriodicalIF":1.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12076247/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inverted V-shaped association between atherogenic index of plasma and kidney stone risk: results from NHANES 2011-2018.","authors":"Mengyu Zhang, Jiankang Zhang, Yunzhi Cui, Zengshu Xing","doi":"10.21037/tau-24-605","DOIUrl":"https://doi.org/10.21037/tau-24-605","url":null,"abstract":"<p><strong>Background: </strong>Serum lipids are strongly associated with kidney stones. The atherogenic index of plasma (AIP) can be used to quantify lipid levels. However, the nonlinear relationship between AIP and kidney stones is unknown. Hence, our objective was to investigate the nonlinear association between AIP and kidney stones and to identify potential threshold effects and subgroup-specific associations.</p><p><strong>Methods: </strong>We conducted a cross-sectional study involving individuals aged 18 and above from the National Health and Nutrition Examination Survey (NHANES) dataset between 2011 and 2018. Overall, 9,366 subjects were enrolled in this research. AIP was determined using log10 [triglycerides (TG)/high-density lipoprotein cholesterol (HDL-C)]. The outcome variable was a self-reported history of kidney stones. Multifactorial logistic regression, subgroup analyses, interaction tests, restricted cubic spline (RCS) modeling, and threshold effect evaluations were used to investigate the connection between AIP and kidney stones.</p><p><strong>Results: </strong>Data from 9,366 participants were analyzed, and 936 (9.99%) subjects with kidney stones were identified. After adjusting for all covariates, logistic regression analysis demonstrated a meaningful positive association between AIP and the renal calculi, with a 1.33-fold rise in the prevalence of renal calculi for every 1-unit raise in AIP in participants [odds ratio (OR) 1.33, 95% confidence interval (CI): 1.06, 1.68]. RCS analysis showed an inverted V-shaped nonlinear association between AIP and kidney stones. Among participants with AIP <0, a notable correlation was observed between elevated AIP levels and a heightened risk of renal calculi.</p><p><strong>Conclusions: </strong>AIP correlates with kidney stones in an inverted V-shape, suggesting the potential of AIP in predicting kidney stones. However, this relationship is limited, and further studies are needed to validate it.</p>","PeriodicalId":23270,"journal":{"name":"Translational andrology and urology","volume":"14 4","pages":"953-963"},"PeriodicalIF":1.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12076237/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}