Background Lead is a typical persistent environmental pollutant that can accumulate in bones for decades. During pregnancy, alterations in calcium metabolism promote the mobilization of bone lead, resulting in secondary exposure; however, the mechanisms by which pregnancy-associated bone lead mobilization affects maternal renal function remain unclear. Objective To investigate the role of mitochondrial dysfunction in pregnancy-related bone lead mobilization-induced renal injury. Methods Newly weaned female Wistar rats were randomly assigned to a control or a lead-exposed group administered either 0.05% sodium acetate or 0.05% lead acetate in drinking water. Following a 4-week lead exposure and a 4-week washout period, the females were co-housed with healthy age-matched males for mating. Rats were sacrificed at early (gestational day 3) and late (gestational day 17) pregnancystages, respectively. Renal histopathology was assessed using hematoxylin and eosin staining staining. Mitochondria-related indicators, including oxidative stress, inflammatory responses, and energy metabolism, were measured. Differential metabolites were identified using serum metabolomics. Results Renal injury in the lead-exposed pregnant rats progressed in a time-dependent manner, characterized by degeneration of proximal tubular epithelial cells, glomerular hyaline changes, and interstitial inflammatory cell infiltration. Repeated measures ANOVA indicated a significant interaction between the treatment factor (lead exposure) and the temporal factor (gestational stage) on renal injury (P<0.001). Further analysis of mitochondrial function-related indicators in late-pregnancy renal tissue revealed that the lead exposure group exhibited significantly increased levels of malondialdehyde (MDA) and reactive oxygen species (ROS) (P<0.05), accompanied by a reduction in superoxide dismutase (SOD) and reduced glutathione (GSH) activities (P<0.05); regarding inflammatory markers, levels of interleukin-18 (IL-18) and interleukin-1β (IL-1β) were elevated (P<0.01), whereas interleukin-33 (IL-33) was decreased in the lead-exposed group (P<0.05); energy metabolism-related indicators, including adenosine triphosphate (ATP) level, Na⁺-K⁺-ATPase and Ca²⁺-Mg²⁺-ATPase activities, and mitochondrial respiratory chain complexes I, III, and V activities, were significantly reduced (P<0.05) in the lead-exposed gorup. The typical differential metabolite N-methylisoleucine, identified through serum metabolomics analysis, was negatively correlated with blood lead levels, kidney injury scores, and IL-1β, while positively correlated with catalase (CAT) activity and Ca²⁺-Mg²⁺-ATPase. Conclusions Mitochondrial dysfunction may play a critical role in renal injury induced by bone lead mobilization during late gestation.

Objective To explore the research hotspots and developmental trends in urological education through a bibliometric analysis. Methods Relevant literature on urological education was retrieved from the Web of Science Core Collection and the China National Knowledge Infrastructure (CNKI) databases, covering all records up to Sep.16, 2025.A comprehensive bibliometric analysis was performed on the retrieved publications. Results A total of 303 Chinese and 290 English articles were collected.The annual number of publications demonstrated an overall upward trend.Harvard University in the United States was the most productive institution in this field. Conclusion Urological clinical education has attracted increasing attention from clinicians and medical trainees.Highly cited studies consistently highlight three actionable priorities for urological education:firstly, improving long-term knowledge retention through structured, spaced, and feedback-rich learning designs; secondly, standardizing simulation-based skills training with validated assessment and staged credentialing; thirdly, strengthening training system resilience while expanding non-technical skills training.These directions provide implementable pathways for optimizing urological teaching practices and the standardized residency training programs.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective To explore different construction models and experiences of clinical laboratory centers under exist-ing Integrated county healthservices entity,analyze and discuss the characteristics of various construction models,and provide ref-erences for the development of county-level clinical laboratory centers.Methods Based on the five factors of"man,machine,material,method,and environment"in Total Quality Management theory,an interview outline and questionnaire were designed for county-level clinical laboratory centers.Eleven county-level clinical laboratory centers across the country were investigated to analyze their construction models,investment returns,and other aspects.Literature reviews and case studies were also conducted to summarize the construction models and characteristics of county-level clinical laboratory centers.Results The construction models of county-level clinical laboratory centers are mainly divided into five types,each with distinct features.Through an analy-sis of the investment returns of these models unde rIntegrated county healthservices entity,it was found that a profit distribution ratio of approximately 5∶5 between county-level clinical laboratory centers and township health centers for referred samples is more conducive to maintaining the stability of sample sources.The construction model of county-level clinical laboratory centers is closely related to the medical service capacity of both county and township levels.Conclusion Counties with stronger county hospital capabilities tend to establish relatively independent regional laboratory centers based on the county hospital's laboratory department.Regardless of the model,the primary goal of county-level clinical laboratory centers should be to provide high-quality testing services coverage across the entire county.The key to the success of county-level clinical laboratory centers lies in motiva-ting grassroots personnel.

Objective To design a VR-based air evacuation training system for simulating the on-board medical treatment process during air evacuation.Methods A VR-based air evacuation training system was developed which used 3D modeling technology to construct models of the medical aircraft cabin,medical devices and virtual characters to achieve scene interaction.The hardware part of the system included server computers,training terminal computers,VR equipment,3D fusion projection equipment,motion capture equipment,etc.The software of the system was developed using C++,UE4 Blueprint and C# programming languages,including two modules for medical treatment unit and medical treatment training process evaluation.The efficacy of the system was verified by the trials in air evacuation.Results The system developed successfully simulated the scenarios of tracheal tube dislodgement and increased intracranial pressure in the scenario model of open severe craniocerebral injury.The expert evaluation showed that the system gained advantages in training efficiency,low cost,safety,sense of immersion and recorded the operation data in real time to optimize the follow-up training.Conclusion The system developed delivers a virtual training environment with high-fidelity replication of real-mission conditions,enabling whole-course and immersive air evacuation drills.[Chinese Medical Equipment Journal,2025,46(3):15-20]

Objective:To summarize the clinical phenotypes, genotypes, and treatment outcomes of NPRL2-related epilepsy. Methods:This was a case summary.Clinical data of patients with NRPL2 variants admitted to the Department of Pediatrics, Peking University People′s Hospital between October 1, 2013 and October 31, 2023 were retrospectively analyzed.Previous reports of patients with the same disease were reviewed. Results:Six cases of NPRL2-related epilepsy were collected, and 37 cases were reported in the previous literatures.The age of onset ranged from 3 days to 18 years with the median age of 24 months.There were 15 patients with onset in infancy.Among the 41 patients diagnosed with epilepsy, 73.1% (30/41) had focal seizures, 34.1% (14/41) had frontal lobe epilepsy, and 17.1% (7/41) had epileptic spasms.Among the patients with known cranial imaging, 58.6% (17/29) had cortical malformations. NPRL2 variants involved 11 nonsense mutations, 10 splice site mutations, 7 frameshift mutations, 1 large fragment deletion, and 14 missense mutations; among them, 39 mutations were pathogenic or likely pathogenic, while the rest 4 mutations had unclear pathogenicity.Among the 27 patients with known outcomes, 11 (40.7%) had no seizures after administration of 1 or 2 types of drugs, and 16 (59.2%) had drug-resistant epilepsy.Among the 16 patients, 1 had no seizures after treatment with 3 types of anti seizure medications, and 7 had no seizures after surgery.Most patients had varying degrees of delay in intellectual and motor development. Conclusions:Patients with NPRL2 variants usually present with frequent focal seizures and epileptic spasms, and the age of onset varies greatly.About half of the patients have drug-resistant epilepsy, half of whom have cortical malformations.For those with drug-resistant epilepsy and abnormal cranial imaging, surgery may be considered.

Objective To explore different construction models and experiences of clinical laboratory centers under exist-ing Integrated county healthservices entity,analyze and discuss the characteristics of various construction models,and provide ref-erences for the development of county-level clinical laboratory centers.Methods Based on the five factors of"man,machine,material,method,and environment"in Total Quality Management theory,an interview outline and questionnaire were designed for county-level clinical laboratory centers.Eleven county-level clinical laboratory centers across the country were investigated to analyze their construction models,investment returns,and other aspects.Literature reviews and case studies were also conducted to summarize the construction models and characteristics of county-level clinical laboratory centers.Results The construction models of county-level clinical laboratory centers are mainly divided into five types,each with distinct features.Through an analy-sis of the investment returns of these models unde rIntegrated county healthservices entity,it was found that a profit distribution ratio of approximately 5∶5 between county-level clinical laboratory centers and township health centers for referred samples is more conducive to maintaining the stability of sample sources.The construction model of county-level clinical laboratory centers is closely related to the medical service capacity of both county and township levels.Conclusion Counties with stronger county hospital capabilities tend to establish relatively independent regional laboratory centers based on the county hospital's laboratory department.Regardless of the model,the primary goal of county-level clinical laboratory centers should be to provide high-quality testing services coverage across the entire county.The key to the success of county-level clinical laboratory centers lies in motiva-ting grassroots personnel.

Meditation aims to guide individuals into a state of deep calm and focused attention, and in recent years, it has shown promising potential in the field of medical treatment. Numerous studies have demonstrated that electroencephalogram (EEG) patterns change during meditation, suggesting the feasibility of using deep learning techniques to monitor meditation states. However, significant inter-subject differences in EEG signals poses challenges to the performance of such monitoring systems. To address this issue, this study proposed a novel model-calibrated multi-source adversarial adaptation network (CMAAN). The model first trained multiple domain-adversarial neural networks in a pairwise manner between various source-domain individuals and the target-domain individual. These networks were then integrated through a calibration process using a small amount of labeled data from the target domain to enhance performance. We evaluated the proposed model on an EEG dataset collected from 18 subjects undergoing methamphetamine rehabilitation. The model achieved a classification accuracy of 73.09%. Additionally, based on the learned model, we analyzed the key EEG frequency bands and brain regions involved in the meditation process. The proposed multi-source domain adaptation framework improves both the performance and robustness of EEG-based meditation monitoring and holds great promise for applications in biomedical informatics and clinical practice.
Humans ; Electroencephalography/methods* ; Meditation ; Calibration ; Neural Networks, Computer ; Brain/physiology* ; Rest/physiology* ; Deep Learning ; Signal Processing, Computer-Assisted

Current studies on electroencephalogram (EEG) emotion recognition primarily concentrate on discrete stimulus paradigms under controlled laboratory settings, which cannot adequately represent the dynamic transition characteristics of emotional states during multi-context interactions. To address this issue, this paper proposes a novel method for emotion transition recognition that leverages a cross-modal feature fusion and global perception network (CFGPN). Firstly, an experimental paradigm encompassing six types of emotion transition scenarios was designed, and EEG and eye movement data were simultaneously collected from 20 participants, each annotated with dynamic continuous emotion labels. Subsequently, deep canonical correlation analysis integrated with a cross-modal attention mechanism was employed to fuse features from EEG and eye movement signals, resulting in multimodal feature vectors enriched with highly discriminative emotional information. These vectors are then input into a parallel hybrid architecture that combines convolutional neural networks (CNNs) and Transformers. The CNN is employed to capture local time-series features, whereas the Transformer leverages its robust global perception capabilities to effectively model long-range temporal dependencies, enabling accurate dynamic emotion transition recognition. The results demonstrate that the proposed method achieves the lowest mean square error in both valence and arousal recognition tasks on the dynamic emotion transition dataset and a classic multimodal emotion dataset. It exhibits superior recognition accuracy and stability when compared with five existing unimodal and six multimodal deep learning models. The approach enhances both adaptability and robustness in recognizing emotional state transitions in real-world scenarios, showing promising potential for applications in the field of biomedical engineering.
Humans ; Emotions/physiology* ; Electroencephalography ; Neural Networks, Computer ; Eye Movements ; Perception