A novel fluorescent probe with high sensitivity and selectivity for "On-Off-On" sensors for Cu2+ cations and CN- anions.

A novel fluorescent probe NIPF was synthesized by the Suzuki reaction to recognize Cu2+ and CN-. With the addition of Cu2+, NIPF exhibited strong fluorescence quenching (90 % for NIPF) with a Ksv value of 3.4 × 106 M-1 and a detection limit of 9.04 × 10-10 M. Subsequently, CN- was added to the NIPF-Cu2+ solution, and [Cu(CN)x]n- was formed due to the strong interaction between Cu2+ and CN- leading to fluorescence recovery (89 % for NIPF-Cu2+). In addition, a detection limit of 3.6 × 10-8 M was obtained by fluorescence titration. Meanwhile, it was demonstrated that the sensor achieved 93 %-105 % recovery of Cu2+ in the tested environmental samples, and the practicability of Cu2+ and CN- detection were verified using hydrogels test, with significant color changes observed under 365 nm light. Accordingly, the fluorescent probe NIPF was used to recognize Cu2+ and CN- by the "on-off-on" sensors.

Potential implications of natural compounds on aging and metabolic regulation.

Aging is generally accompanied by a progressive loss of metabolic homeostasis. Targeting metabolic processes is an attractive strategy for healthy-aging. Numerous natural compounds have demonstrated strong anti-aging effects. This review summarizes recent findings on metabolic pathways involved in aging and explores the anti-aging effects of natural compounds by modulating these pathways. The potential anti-aging effects of natural extracts rich in biologically active compounds are also discussed. Regulating the metabolism of carbohydrates, proteins, lipids, and nicotinamide adenine dinucleotide is an important strategy for delaying aging. Furthermore, phenolic compounds, terpenoids, alkaloids, and nucleotide compounds have shown particularly promising effects on aging, especially with respect to metabolism regulation. Moreover, metabolomics is a valuable tool for uncovering potential targets against aging. Future research should focus on identifying novel natural compounds that regulate human metabolism and should delve deeper into the mechanisms of metabolic regulation using metabolomics methods, aiming to delay aging and extend lifespan.

Patient-reported outcome and survival in premenopausal hormone receptor-positive breast cancer patients at moderate to high risk: comparing toremifene with aromatase inhibitor in a real-world study.

Toremifene, a selective estrogen receptor modulator, is commonly used in China for premenopausal breast cancer patients. This real-world study aimed to compare patient-reported outcome (PRO) and survival between toremifene and aromatase inhibitor (AI) plus ovarian function suppression (OFS) in patients with moderate-/high-risk premenopausal hormone receptor (HR)-positive breast cancer. The primary endpoint was PROs, assessed using SF-36 and EQ-5D-5L questionnaires between January and March 2023. A total of 392 patients were included, with 171 receiving toremifene and 221 receiving AI. The toremifene group showed significantly higher scores in the role physical (p = 0.034) and mental health (p = 0.009) dimensions of SF-36 and lower anxiety/depression (AD) scores (p = 0.038) in EQ-5D-5L compared to AI group. The estimated 5- and 8-year disease-free survival (DFS) rates were similar in toremifene and AI groups: 96.5% versus 91.9%, and 87.4% versus 87.8% (p = 0.39), respectively. Adverse event rates were similar in two groups, except for a greater risk of endometrial thickening (p < 0.001) and a lower occurrence of morning stiffness (p < 0.001) in the toremifene compared to the AI group. Premenopausal HR-positive breast cancer patients receiving toremifene plus OFS had better role physical and mental health outcomes and lower AD dimensions than those receiving AI plus OFS. Both treatments had comparable DFS and favorable tolerability profiles.

Blocking lactate regulation of the Grhl2/SLC31A1 axis inhibits trophoblast cuproptosis and preeclampsia development.

PURPOSE: Abnormal cell death due to superficial trophoblast dysfunction caused by placental hypoxia plays a vital role in the development of preeclampsia (PE). Lactic acid stimulates gene transcription in chromatin through lactate modification of histone lysine. Nevertheless, the content and function of lactate in PE development remains largely unclear. METHODS: The contents of lactic acid and copper in 30 PE and 30 normal placentas were determined by kit colorimetry. Real-time quantitative fluorescent PCR (qRT-PCR) and Western blot were used to detect the expression of SLC31A1 in cells and tissues. Cell proliferation, apoptosis, and invasion were detected by cell counting kit 8 (CCK-8), MTS assay, colony formation assay, and Transwell assay. The transcriptional regulation between Grhl2 and SLC31A was verified by the luciferase reporter gene method and ChIP. The H3K18la modification level was detected by ChIP-PCR. RESULTS: Herein, we detected increased lactic acid levels in the PE placental tissue, which inhibit the proliferation and invasion of trophoblasts. Interestingly, lactic acid increases intracellular copper content by enhancing the expression of SLC31A1, a key protein of copper ion transporters. Lentivirus knockdown of SLC31A1 blocked the lactate-induced proliferation and invasion of trophoblasts by inhibiting cell cuproptosis. Mechanically, we identified that Grhl2 mediated SLC31A1 expression through transcription and participated in SLC31A1-inhibited proliferation, invasion, and cuproptosis of trophoblasts. Furthermore, the high lactate content increased Grhl2 expression by enhancing lactate modification of histone H3K18 in the Grhl2 promoter region. CONCLUSIONS: Blocking the lactate-regulated Grhl2/SLC31A1 axis and trophoblastic cuproptosis may be a potential approach to prevent and treat PE.

Characterization of the flavor profile of four major Chinese carps using HS-SPME-GC-MS combined with ultra-fasted gas chromatography-electronic nose.

The four major Chinese carps are highly popular for their distinctive nutritional benefits. However, the differences in flavor among these carps remain unclear. This study investigated the flavor profiles of these carps using headspace solid-phase micro-extraction gas chromatography-mass spectrometry (HS-SPME-GC/MS) combined with ultra-fasted gas chromatography electronic nose (GC E-nose). The four major Chinese carps had high protein content (16.68-18.61 %) and low fat levels (0.42-1.29 %). A total of 45 volatile compounds were identified in these carps. Both the GC E-nose and HS-SPME-GC-MS results consistently showed significant flavor profiles differences among these carps, with Ctenopharyngodon Idella (CI) exhibiting the most pronounced distinctions compared to the other three species. Based on VIP >1 and p < 0.05, 10 key compounds including 2-Nonanone, Cyclodecanol, Eugenol, 1,3-Cyclooctadiene, etc., largely contributed to the distinctive overall flavor profile of four major Chinese carps derived mainly from amino acid and fatty acid metabolism.

Associations between cuprotosis-related genes and the spectrum of metabolic dysfunction-associated fatty liver disease: An exploratory study.

AIMS: To explore the associations between cuprotosis-related genes (CRGs) across different stages of liver disease in metabolic dysfunction-associated fatty liver disease (MAFLD), including hepatocellular carcinoma (HCC). MATERIALS AND METHODS: We analysed several bulk RNA sequencing datasets from patients with MAFLD (n = 331) and MAFLD-related HCC (n = 271) and two MAFLD single-cell RNA sequencing datasets. To investigate the associations between CRGs and MAFLD, we performed differential correlation, logistic regression and functional enrichment analyses. We also validated the findings in an independent Wenzhou PERSONS cohort of MAFLD patients (n = 656) used for a genome-wide association study (GWAS). RESULTS: GLS, GCSH and ATP7B genes showed significant differences across the MAFLD spectrum and were significantly associated with liver fibrosis stages. GLS was closely associated with fibrosis stages in patients with MAFLD and those with MAFLD-related HCC. GLS is predominantly expressed in monocytes and T cells in MAFLD. During the progression of metabolic dysfunction-associated fatty liver to metabolic-associated steatohepatitis, GLS expression in T cells decreased. GWAS revealed that multiple single nucleotide polymorphisms in GLS were associated with clinical indicators of MAFLD. CONCLUSIONS: GLS may contribute to liver inflammation and fibrosis in MAFLD mainly through cuprotosis and T-cell activation, promoting the progression of MAFLD to HCC. These findings suggest that cuprotosis may play a role in MAFLD progression, potentially providing new insights into MAFLD pathogenesis.

Interferon-I modulation and natural products: Unraveling mechanisms and therapeutic potential in severe COVID-19.

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to pose a significant global public health threat, particularly to older adults, pregnant women, and individuals with underlying chronic conditions. Dysregulated immune responses to SARS-CoV-2 infection are believed to contribute to the progression of COVID-19 in severe cases. Previous studies indicates that a deficiency in type I interferon (IFN-I) immunity accounts for approximately 15 %-20 % of patients with severe pneumonia caused by COVID-19, highlighting the potential therapeutic importance of modulating IFN-I signals. Natural products and their derivatives, due to their structural diversity and novel scaffolds, play a crucial role in drug discovery. Some of these natural products targeting IFN-I have demonstrated applications in infectious diseases and inflammatory conditions. However, the immunomodulatory potential of IFN-I in critical COVID-19 pneumonia and the natural compounds regulating the related signal pathway remain not fully understood. In this review, we offer a comprehensive assessment of the association between IFN-I and severe COVID-19, exploring its mechanisms and integrating information on natural compounds effective for IFN-I regulation. Focusing on the primary targets of IFN-I, we also summarize the regulatory mechanisms of natural products, their impact on IFNs, and their therapeutic roles in viral infections. Collectively, by synthesizing these findings, our goal is to provide a valuable reference for future research and to inspire innovative treatment strategies for COVID-19.

Trajectory patterns and factors associated with acceptance of disability in young and middle-aged breast cancer patients: a longitudinal study.

PURPOSE: To explore the trajectories of acceptance of disability in young and middle-aged breast cancer patients based on a latent class growth analysis, investigate factors associated with each trajectory, and identify whether return to normal living differs in different trajectories. METHODS: Young and middle-aged patients newly diagnosed with breast cancer who underwent surgery were followed up at baseline, and 1, 3, and 6 months in China. Participants completed sociodemographic information questionnaires, the Adaptation of Disability Scale Revised, and the Reintegration to Normal Living Index. A latent class growth analysis was used to explore the trajectories of acceptance of disability. RESULTS: Among 212 patients newly diagnosed with breast cancer, the mean age of patients was 45.44 years. The majority of participants were with invasive carcinoma (77.8%). Three classes were identified: high acceptance of disability increasing group (high-increasing, 13.7%), moderate acceptance of disability stable group (moderate-stable, 67.9%), and moderate acceptance of disability decreasing group (moderate-decreasing, 18.3%). Being unemployed or retired and receiving endocrine therapy are risk factors associated with acceptance of disability. Carcinoma in situ is a protective factor associated with acceptance of disability. Participants diagnosed with carcinoma in situ and who not receive endocrine therapy were more likely to be in high-increasing group. Unemployed participants before surgery were more likely to be in moderate-decreasing group. Moreover, the Reintegration to Normal Living Index scores had significant differences from baseline to 6 months of follow-up. The high-increasing group had the highest average Reintegration to Normal Living Index scores than the moderate-stable group and the moderate-decreasing group, showing similar patterns at four timepoints. CONCLUSION: We identified three trajectories of acceptance of disability. Dynamic and individualized intervention should be continuously provided to ensure patients acquire adequate medical resources to comprehensively increase acceptance of disability.

Diagnostic and prognostic potential of the intra-tumoral microbiota profile in HPV-independent endocervical adenocarcinoma.

Background: Microbial community dynamics have been involved in numerous diseases, including cancer. The diversity of intertumoral microbiota in human papillomavirus independent endocervical adenocarcinoma (HPVI ECA) is not well-characterized. Objective: Our objective is to delineate the intratumoral microbiota profile in HPVI ECA and investigate its potential influence on oncogenesis. Methods: We analyzed 45 HPVI ECA cases, comprising 36 gastric-type ECA (GEA) and 9 clear cell carcinomas (CCC). We compared the microbial composition within cancerous and adjacent noncancerous tissue samples using 5R-16S ribosomal DNA sequencing. Further, we investigated the correlation between specific microbes and clinical-pathological metrics as well as patient outcomes. Results: Our findings demonstrate notable differences in the microbial spectra between cancerous and adjacent noncancerous tissues. Amongst HPVI ECA subtypes, GEAs exhibit more microbial variations compared to CCCs. Using the Random Forest algorithm, we identified two distinct microbial signatures that could act as predictive biomarkers for HPVI ECA and differentiate between GEA and CCC. Varied microbial abundances was related to clinical characteristics of HPVI ECA patients. In addition, high levels of Micrococcus and low levels of unknown genus75 from the Comamonadaceae family were associated with poorer outcomes in HPVI ECA patients. Similarly, an abundance of Microbacterium correlated with reduced overall survival (OS), and a high presence of Streptococcaceae family microbes was linked to reduced recurrence-free survival (RFS) in GEA patients. Intriguingly, a high abundance of Micrococcus was also associated with a worse OS in GEA patients. Conclusion: The study reveals distinct microbial signatures in HPVI ECA, which have potential as biomarkers for disease prognosis. The correlation between these tumor-associated microbiota features and clinicopathological characteristics underscores the possibility of microbiome-based interventions. Our research provides a foundation for more in-depth studies into the cervical microbiome's role in HPVI ECA.

Efficacy of a health education technology program in improving adherence to self-management behaviors and quality of life among adults with type 2 diabetes: A randomized controlled trial.

AIM: This study examined the efficacy of a health education technology program on self-management adherence behavior and quality of life among people with type 2 diabetes (T2D). METHODS: A randomized experimental study design was employed. A total of 110 subjects was recruited. The experimental group received a novel technology education program plus routine shared care. The control group received routine shared care alone. Quality of life and adherence to self-management behavior questionnaires were used to measure outcomes. A linear mixed-effects model was used to analyze changes in quality of life after controlling for pre-test effects. The odds ratio was calculated for differences in adherence behavior between the two groups. RESULTS: The between-group mean difference in quality of life scores and adherence to physical activity comparing pre-test at 3 months follow-up showed significant progress at 3 months post-test compared with the control group. However, the increase in mean quality of life scores and adherence behavior at 6 months did not demonstrate a sustained between-group difference. CONCLUSION: The results showed adherence to physical activity and improved quality of life in patients with T2D at 3 months post intervention. Therefore, the program can be used as an intensive model for diabetes shared care.

Prognostic outcome of intravenous thrombolysis in elderly patients aged ≥ 60 years with acute ischemic stroke by ASTRAL and THRIVE scales.

This study aimed to validate the predictive performance of ASTRAL and THRIVE scales when used for patients aged 60 years and older with acute ischemic stroke (AIS) after intravenous thrombolysis (IVT). All enrolled patients received IVT therapy. The enrolled patients were divided into two groups in accordance with the modified Rankin scale(mRS) score at the time of discharge: good-outcome (mRS ≤ 2) and poor-outcome (mRS ≥ 3) groups. The receiver operating characteristic (ROC) curve was plotted using MedCalc software, the area under the ROC curve (AUC) was calculated. The Delong test was used to compare the predictive performance of ASTRAL and THRIVE scales, with P < 0.05 being considered a statistically significant difference. The AUCs of ASTRAL and THRIVE in predicting poor outcomes after thrombolysis in elderly patients with AIS were 0.771 and 0.701, respectively. The difference in AUC between ASTRAL and THRIVE was 0.070, and a statistically significant difference (P < 0.05) was found. ASTRAL's predictive performance was better than that of THRIVE. ASTRAL is a reliable predictive tool for assessing the poor outcome of IVT therapy for elderly patients aged ≥ 60 years with AIS.

Surveillance of household foodborne disease outbreaks in Zhejiang Province, China, 2010-2022.

BACKGROUND: Foodborne diseases are a growing public health concern worldwide and households are a common setting. This study aimed to explore the epidemiological characteristics of household foodborne disease outbreaks in Zhejiang Province and propose targeted prevention and control measures. METHODS: Descriptive statistical methods were used to analyze household foodborne disease outbreak data collected from the Foodborne Disease Outbreaks Surveillance System in Zhejiang Province from 2010 to 2022. RESULTS: Household foodborne disease outbreaks showed an upward trend during the study period (Cox-Staurt trend test, p = 0.01563 < 0.05). These outbreaks mainly occurred from June to September, with 62.08% (352/567) of all reported outbreaks. The number of reported outbreaks varied in 11 prefectures, with a maximum of 100 and a minimum of only 7. Household foodborne disease outbreaks had a wide spectrum of etiologic factors. Mushroom toxins accounted for the largest proportion of all etiologies (43.39 %) and caused the highest proportion of hospitalization (54.18%) and death (78.26%). Such outbreaks are caused by accidently eating wild poisonous mushrooms. Bacterial infection (16.23%) was the second most common etiology, with Salmonella spp. and Vibrio parahaemolyticus being the primary pathogens. These outbreaks were caused by improper storage, improper processing or a combination of factors, and the foods involved were mainly aquatic animals, eggs and cooked meat. Other identified etiologies included plant toxins (9.52%), chemicals (7.23%), animal toxins (3.70%), and viruses (1.76%). Among the above-mentioned etiologies, mushroom toxins, bacteria, and animal toxins had seasonal characteristics. Analysis of regions and etiologies revealed that the proportion of various etiologies was different in 11 prefectures. Wild mushrooms (43.39%), aquatic animals (9.88%), and toxic plants (8.47%) were the top three foods involved in these outbreaks. The most common factors contributing to household foodborne disease outbreaks were inedibility and misuse (59.08%), followed by multiple factors (7.58%), improper storage (7.41%), and improper processing (7.41%). CONCLUSIONS: Household foodborne disease outbreaks were closely related to the lack of knowledge regarding foodborne disease prevention. Therefore, public health agencies should strengthen residents' surveillance and health education to improve food safety awareness and effectively reduce foodborne diseases in households. In addition, timely publicity and early warning by relevant government departments, the introduction of standards to control the contamination of pathogenic bacteria in raw materials, and strengthened supervision of the sale of substances that may cause health hazards, such as poisonous mushrooms and nitrites, will also help reduce such outbreaks.

Ag2S quantum dot-based magnetic resonance/fluorescence dual-mode imaging nanoprobes for tumor diagnosis.

Accurate tumor detection is crucial for the early discovery and subsequent treatment of small neoplastic foci. Molecular imaging, which combines non-invasiveness, high specificity, and strong sensitivity, excels in diagnosing early tumors and stands out among tumor diagnosis methods. Here, we introduced a dual-modal imaging probe capable of actively targeting tumor cells, suitable for both near-infrared (NIR) fluorescence and magnetic resonance imaging (MRI). Dendritic mesoporous silica was used as a carrier for the probe, encapsulating Ag2S quantum dots (QDs) for NIR fluorescence imaging. Additionally, the probe conjugated the MRI contrast agent Gd-DOTA and cetuximab, which targeted EGFR on the tumor cell membrane surface, to achieve dual-modal imaging in the tumor area. This strategy provided a methodology for the accurate diagnosis of early-stage tumor lesions and guides precise lesion resection during surgery, offering significant potential for clinical application.

The ideal range of laser hair removal for microtia patients undergoing two-stage ear reconstruction.

Although the technologies for auricular reconstruction in microtia have improved, issues such as low hairlines or excessive hair growth can still pose aesthetic problems for the reconstructed ear. Laser depilation has been reported as a solution for hair problems. However, few studies have discussed the appropriate region for hair removal. A retrospective analysis was performed on 276 patients with unilateral microtia who underwent the Nagata two-stage ear reconstruction. The gender ratio of male to female was 2.5 (198 males/78 females). Intense pulsed light depilation was used to remove hair. To determine the proper hair removal area, we measured the extent of hair removal. Before the first stage, the average vertical distance between the upper point (after localization) and hairline was 3.42 ± 4.75 mm (-10-20 mm). After the first stage, the average vertical distance between the upper point of the reconstructed ear and the hairline was 1.27 ± 2.41 mm (-10-15 mm). By using chi-square test to assess differences in hair removal success rates among various regions, we aimed to identify the suitable depilation region. Before the first stage, a depilation vertical distance ≥ 10 mm led to a 92.1% success rate. After the first stage surgery, among the patients needing additional hair removal, a vertical depilation distance ≥ 4 mm resulted in an 81.3% success rate. Based on our observation, we suggested that a depilation region of ≥ 10 mm (before the first surgery) or ≥ 4 mm (after the first surgery) would be the ideal range for laser hair removal.

Ethanol Extract of Propolis Attenuates Liver Lipid Metabolism Disorder in High-Fat Diet-Fed SAMP8 Mice.

SCOPE: The prevalence of high-fat diet (HFD) consumption is increasing among middle-aged and older adults, which accelerates the aging process of this population and is more likely to induce lipid metabolism disorders. But the alleviation of ethanolic extract of propolis (EEP) on lipid metabolism disorders during aging remains unclear. METHODS AND RESULTS: This study assesseed the impact of EEP intervention (200 mg kg-1 bw) on aging and lipid metabolism disorders in HFD-fed senescence accelerate mouse prone 8 (SAMP8) mice. Findings indicate that EEP ameliorates hair luster degradation and weight gain, reduces systemic inflammation and metabolism levels, enhances hepatic antioxidant enzyme activities, and improves the hepatic expression of senescence-associated secretory phenotype and aging-related genes in HFD-fed SAMP8 mice. Histological staining demonstrates that EEP improves hepatic lipid deposition and inflammatory cell infiltration. Transcriptomic and lipidomic analysis reveal that EEP promotes fatty acid ß-oxidation by activating PPAR pathway, resulting in reduced hepatic lipid deposition, and attenuates bile acid (BA) accumulation by improving BA metabolism, which were ensured through qPCR validation of key genes and immunoblot validation of key proteins. CONCLUSIONS : EEP can regulate lipid metabolic dysregulation during aging accompanied by an HFD, potentially delaying the onset and progression of age-related diseases. This provides new approach for supporting healthy aging.

Machine learning analysis of oxidative stress-related phenotypes for specific gene screening in ovarian cancer.

BACKGROUND: Oxidative stress serves a crucial role in tumor development. However, the relationship between ovarian cancer and oxidative stress remains unknown. We aimed to create an oxidative stress-related prognostic signature to enhance the prognosis prediction of CC patients using bioinformatics. METHODS: The genes differentially expressed and associated with oxidative stress were extracted with the help of "limma" packages. The model for prognosis was created using Multivariate Cox regression analysis to determine the risk related to the genes related to oxidative stress. Patients were categorized as low-risk or high-risk based on the median score. The receiver operation characteristic (ROC) and survival curves were used to evaluate the predictive effect of the prognostic signature. We utilized quantitative real-time PCR to assess the expression levels of key genes associated with oxidative stress in ovarian cancer cell lines (SKOV3, OVCAR3, and HeyA8) and normal ovarian epithelial cells (HOSEpiC). RESULTS: A signature comprising seven genes associated with oxidative stress was developed to prognosticate patients with ovarian cancer. Overall survival (OS) of the patient having CC was determined using Kaplan-Meier analysis. It was found that patient with a higher risk score had lower OS than the low-risk score. The signature of genes associated with oxidative stress was found to be independently prognostic for 1, 2, and 3 years. Further research found that the expression levels of nine hub genes had a strong association with patient outcomes. Our analysis revealed a higher expression of CX3CR1 in ovarian cancer cell lines compared with normal cells. CONCLUSIONS: To deploy a novel oxidative stress-related prognostic signature as an independent biomarker in cervical cancer, we developed and validated it.

The development and application of a novel E-commerce recommendation system used in electric power B2B sector.

The advent of the digital era has transformed E-commerce platforms into critical tools for industry, yet traditional recommendation systems often fall short in the specialized context of the electric power industry. These systems typically struggle with the industry's unique challenges, such as infrequent and high-stakes transactions, prolonged decision-making processes, and sparse data. This research has developed a novel recommendation engine tailored to these specific conditions, such as to handle the low frequency and long cycle nature of Business-to-Business (B2B) transactions. This approach includes algorithmic enhancements to better process and interpret the limited data available, and data pre-processing techniques designed to enrich the sparse datasets characteristic of this industry. This research also introduces a methodological innovation that integrates multi-dimensional data, combining user E-commerce activities, product specifics, and essential non-tendering information. The proposed engine employs advanced machine learning techniques to provide more accurate and relevant recommendations. The results demonstrate a marked improvement over traditional models, offering a more robust and effective tool for facilitating B2B transactions in the electric power industry. This research not only addresses the sector's unique challenges but also provides a blueprint for adapting recommendation systems to other industries with similar B2B characteristics.

Trends in research on nanomedicine in urologic cancer: a bibliometric and visualized analysis.

Increasing research efforts are focused on studying the synthesis and mechanisms of nanomedicine in urologic cancer. We performed a bibliometric study of the literature on nanomedicine in urologic cancer over the last 23 years, focusing on aspects such as researchers, institutions, nations, and keywords. We searched for papers in the Web of Science Core Collection from January 1, 2001, to December 29, 2023. Only reviews and original articles written in English were considered. A total of 2386 papers satisfied the given criteria for inclusion. The publications included in the study originated from 90 nations. The United States had the largest number of published papers, accounting for more than 31.01% of the total. The leading institution in this field is the Chinese Academy of Sciences, with a publishing output of 2.35%. Farokhzad, Omid C., is the most prolific author, with 21 articles, and has garnered the most citations, totaling 6271. The latest phrase to enter the top ten most common lists was "gold nanoparticles." We searched for papers in the Web of Science Core Collection from January 1, 2000, to November 28, 2023. Only reviews and original articles written in English were considered. This is the first bibliometric study of nanomedicine in urologic cancer. This article provides a comprehensive analysis of the current state of research on nanomedicine in urologic cancer over the last 23 years. On the basis of this study, future researchers can identify noteworthy publications, journals, and potential collaborators and explore cutting-edge research directions.