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.

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 summarize the phenotype and genotype of leukoencephalopathy with calcifications and cysts(LCC).Methods:A case summary.Clinical, imaging, and genetic data of 2 patients with early-onset LCC admitted to the Department of Pediatrics, Peking University People′s Hospital between December 2023 and August 2024 were retrospectively summarized.A review of the literature was also conducted.Results:Case 1: a 19-month-old female infant presented with febrile seizures in infancy and mild developmental delay.Trio whole-exome sequencing (trio-WES) identified compound heterozygous pathogenic variants in the SNORD118 gene: n.92C>T (paternally inherited) and n. 72A>G (maternally inherited). Case 2: an 11-year-and-4-month-old girl had non-specific encephalopathy in the neonatal period, developmental delay with regression, and seizures since early childhood.Trio-WES revealed compound heterozygous pathogenic variants in SNORD118: n.3C>T (paternally inherited) and n. 57G>C (maternally inherited). Both cases showed typical imaging findings of leukoencephalopathy, intracranial calcifications, and cysts.Case 2 has been treated with Bevacizumab for 3 months and remains under follow-up.Combining this 2 cases with previously reported genetically confirmed cases, a total of 97 LCC patients with identified SNORD118 variants were analyzed.The median age of onset was 5 years.Seventy-one cases had childhood onset, including 31 cases with onset at ≤1 year.The inaugural symptoms were: seizures in 40 patients (41.2%), motor disorders in 25 patients (25.8%), developmental delay or cognitive impairment in 19 patients (19.6%) and headaches or increased intracranial pressure in 13 patients (13.4%). Neurological dysfunctions progress during the course.All patients had typical leukoencephalopathy, intracranial calcifications and cysts, with varied imaging progress.A total of 61 variants of SNORD118 were reported and most were compound heterozygous variants.Treatment is primarily symptomatic.Three out of the 4 patients treated with Bevacizumab showed improvement. Conclusions:LCC is a rare autosomal recessive inherited cerebral microangiopathy, characterized by progressive neurological dysfunction and radiological triad of diffuse and asymmetric leukoencephalopathy, intracranial calcifications and cysts.Patients with pathogenic SNORD118 variants should definitely be diagnosed.Symptomatic treatment is the mainstay therapy and Bevacizumab may slow down the progression.

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.

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.

Fermented traditional Chinese medicine(TCM) has a long history of medicinal use, such as Sojae Semen Praeparatum, Arisaema Cum Bile, Pinelliae Rhizoma Fermentata, red yeast rice, and Jianqu. Fermentation technology was recorded in the earliest TCM work, Shen Nong's Classic of the Materia Medica. Microorganisms are essential components of the fermentation process. However, the contamination of fermented TCM by toxigenic fungi and mycotoxins due to unstandardized fermentation processes seriously affects the quality of TCM and poses a threat to the life and health of consumers. In this paper, the characteristics, microbial composition, and mycotoxin profile of fermented TCM are systematically summarized to provide a theoretical basis for its quality and safety control.
Fermentation ; Mycotoxins/analysis* ; Drugs, Chinese Herbal/analysis* ; Fungi/classification* ; Bacteria/genetics* ; Drug Contamination ; Medicine, Chinese Traditional

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