ObjectiveTo investigate the potential mechanism of Danggui Buxuetang （DBT） in the treatment of vascular dementia （VAD）. MethodsSixty male SD rats were randomly assigned to the sham-operated group， model group， DBT low-， medium-， and high-dose groups， and the donepezil group. Except for the sham-operated group， rats in all other groups underwent bilateral common carotid artery ligation. After successful modeling， DBT was administered at doses of 9.2， 18.4， 36.8 g·kg^-1 for the low-， medium-， and high-dose groups， respectively， while the donepezil group received 3 mg·kg^-1 donepezil solution by gavage once daily. After 4 consecutive weeks of drug treatment， rats underwent the Morris water maze test， novel object recognition test， Nissl staining to observe hippocampal neurons， and immunofluorescence staining to detect the expression of neuronal nuclear protein （NeuN） in the hippocampus. Western blot was used to assess the expression of PTEN-induced kinase 1 （PINK1）， Parkin， microtubule-associated protein 1 light chain 3Ⅱ （LC3Ⅱ）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax）. Transmission electron microscopy was used to observe hippocampal neuronal ultrastructure. Real-time PCR was used to detect the expression of NADPH oxidase subunits p22^phox and p47^phox in hippocampal tissues. The levels of malondialdehyde （MDA）， glutathione （GSH）， superoxide dismutase （SOD）， and total antioxidant capacity were measured to evaluate oxidative stress levels. ResultsIn the Morris water maze test， escape latency changed significantly over time in all groups except the model group. Compared with the sham-operated group， the model group showed significantly prolonged escape latency （P<0.01）. Compared with the model group， rats in the DBT groups and the donepezil group exhibited significantly shorter escape latency （P<0.05， P<0.01）. The number of crossings over the original platform was significantly reduced in the model group compared with the sham-operated group （P<0.01）， whereas rats in the DBT and donepezil groups showed significantly increased platform crossings compared with the model group （P<0.05， P<0.01）. Compared with the sham-operated group， exploration time of new objects was significantly reduced in the model group （P<0.01）. Compared with the model group， exploration time of new objects increased significantly in the medium- and high-dose DBT groups and the donepezil group （P<0.05， P<0.01）， while no significant change was observed in the low-dose DBT group. Compared with the high-dose DBT group， rats in the donepezil group had significantly prolonged escape latency and reduced platform crossings and new-object exploration time （P<0.05）. Nissl staining showed decreased density of healthy neurons in the CA1 and CA3 regions of the hippocampus in the model group， with loss of Nissl bodies and nuclear atrophy or disappearance. In the high-dose DBT group， neuronal density in CA1 and CA3 increased， with neurons arranged closely and displaying normal morphology. Immunofluorescence showed that compared with the sham-operated group， the hippocampal NeuN⁺ cell count in the VAD model group was significantly decreased（P<0.01）， compared with the VAD model group， the hippocampal NeuN⁺ cell count in the high-dose DBT group was significantly increased（P<0.01）. Compared with the sham-operated group， the expression of PINK1， Parkin， LC3Ⅱ， and Bax proteins was significantly increased（P<0.01）， while the expression of Bcl-2 was significantly decreased in the VAD model group（P<0.01）. Compared with the VAD model group， the high-dose DBT group showed significantly decreased expression of PINK1， Parkin， LC3Ⅱ， and Bax proteins（P<0.01）and significantly upregulated Bcl-2 expression（P<0.01）. The medium-dose DBT group exhibited significantly reduced expression of Parkin， LC3Ⅱ， and Bax proteins（P<0.05，P<0.01） and significantly increased Bcl-2 expression（P<0.01）， while no statistically significant differences were observed in the low-dose DBT group. Transmission electron microscopy showed mitochondrial pyknosis， thickened cristae， increased electron density， and the presence of mitochondrial autophagy in the model group. In contrast， hippocampal neurons in the high-dose DBT group contained abundant mitochondria with intact morphology， clear cristae， and uniform matrix. Compared with the sham-operated group， total antioxidant capacity， SOD activity， and GSH levels were significantly decreased， while MDA levels were significantly increased in the model group （P<0.01）. Compared with the model group， total antioxidant capacity and antioxidant levels （SOD， GSH） increased significantly， and MDA decreased significantly in the medium- and high-dose DBT groups （P<0.01）， while no significant changes were observed in the low-dose DBT group. Compared with the sham-operated group， mRNA expression of p22^phox and p47^phox was significantly increased in the model group （P<0.01）. Compared with the model group， expression of p22^phox and p47^phox was significantly decreased in the DBT groups （P<0.05， P<0.01）. ConclusionDBT may exert neuroprotective effects by regulating PINK1/Parkin-mediated mitochondrial autophagy， thereby improving learning and memory abilities and treating VAD.

OBJECTIVES: To study the differences in clinical characteristics of term and preterm neonates with necrotizing enterocolitis (NEC) undergoing surgical treatment. METHODS: A retrospective analysis was conducted on the clinical data of 142 NEC neonates who underwent surgery at the Children's Hospital of Chongqing Medical University from June 2017 to August 2023. The neonates were categorized into a preterm group (gestational age <37 weeks; 95 cases) and a term group (gestational age 37-42 weeks; 47 cases) to compare clinical characteristics. RESULTS: The preterm group had a higher postnatal age at both diagnosis and surgery compared to the term group (P<0.05). The preterm group also had a higher incidence of preoperative bloody stools, lower preoperative platelet counts, and higher rates of preoperative respiratory distress, apnea, reduced/absent bowel sounds, and mechanical ventilation compared to the term group (P<0.05). Postoperatively, the preterm group had higher rates of purulent meningitis, sepsis, and coagulation dysfunction, lower postoperative platelet counts, and lower intraoperative minimum body temperature than the term group (P<0.05). CONCLUSIONS There are significant differences in the clinical characteristics of preterm and term neonates with NEC undergoing surgery, suggesting the need for tailored perioperative management strategies based on these characteristics.
Humans ; Enterocolitis, Necrotizing/surgery* ; Infant, Newborn ; Retrospective Studies ; Male ; Female ; Infant, Premature ; Gestational Age

Objective:To evaluate the efficiency of the four domestic language models,ERNIE Bot,ChatGLM2,Spark Desk and Qwen-14B-Chat,all with a massive user base and significant social attention,in response to consultations about PCa-related perio-perative nursing and health education.Methods:We designed a questionnaire that includes 15 questions commonly concerned by patients undergoing radical prostatectomy and 2 common nursing cases,and inputted the questions into each of the four language models for simulation consultation.Three nursing experts assessed the model responses based on a pre-designed Likert 5-point scale in terms of accuracy,comprehensiveness,understandability,humanistic care,and case analysis.We evaluated and compared the performance of the four models using visualization tools and statistical analyses.Results:All the models generated high-quality texts with no mis-leading information and exhibited satisfactory performance.Qwen-14B-Chat scored the highest in all aspects and showed relatively sta-ble outputs in multiple tests compared with ChatGLM2.Spark Desk performed well in terms of understandability but lacked comprehen-siveness and humanistic care.Both Qwen-14B-Chat and ChatGLM2 demonstrated excellent performance in case analysis.The overall performance of ERNIE Bot was slightly inferior.All things considered,Qwen-14B-Chat was superior to the other three models in con-sultations about PCa-related perioperative nursing and health education.Conclusion:In PCa-related perioperative nursing,large language models represented by Qwen-14B-Chat are expected to become powerful auxiliary tools to provide patients with more medical expertise and information support,so as to improve the patient compliance and the quality of clinical treatment and nursing.

Objective:To summarize the clinical features of epilepsy and (or) developmental delay associated with KCNB1 gene variants in children.Methods:A case series study was conducted on 24 children with KCNB1 gene variants associated with epilepsy and (or) developmental delay who were treated at the Children′s Medical Center of Peking University First Hospital and the Department of Neurology of Shenzhen Children′s Hospital from July 2015 to June 2024. The manifestations of seizures, electroencephalogram (EEG) and genetic test results of those children were analyzed.Results:All the KCNB1 gene variants were de novo, involving 20 different variation, including 15 missense variations, 3 frameshift variations and 2 nonsense variations. There were 7 novel variations. Among the 24 developmental and epileptic encephalopathy children, there were 14 boys and 10 girls. The last follow-up age ranged from 9 months to 13 years and 9 months. Seizures were present in 21 children (88%), with onset ranging from 1 month to 7 years, and 76% (16/21) began before 2 years of age. The seizure types included focal seizures in 15 children (71%), epileptic spasms, myoclonic seizures, and generalized tonic-clonic seizures in 6 children respectively, atypical absence seizures in 4 children, and myoclonic atonic seizures in 1 child. Seventeen children (81%) had a cluster of seizures and 5 had a history of focal status epilepticus with impaired consciousness. All 24 children had varying degrees of developmental delay, with 3 presenting solely developmental delay. EEG abnormalities were present in all the 21 children with seizures, including focal or multifocal discharges in 20 children, generalized discharges in 10 children, hypsarrhythmia in 2 children, and electrical status epilepticus during sleep in 3 children. Magnetic resonance imaging abnormalities were found in 5 of the 24 children. Among the 21 children with seizures, 57% (12/21) achieved seizure control.Conclusions:KCNB1 gene variants are predominantly de novo missense variation. Most affected children present with epilepsy, though some may exhibit only developmental delay. Epilepsy often begins before 2 years of age, with focal seizures being the most common type. About 80% of patients experience clustered seizures. Although most patients achieve seizure control, they still exhibit varying degrees of developmental delay, consistent with developmental epileptic encephalopathy.

Squalene epoxidase (SQLE) is a potential target for the treatment of liver cancer. Bioinformatics analysis indicated that the high expression of SQLE was closely related to the clinical stage and poor prognosis of patients with liver cancer. However, the existing inhibitors against SQLE 195 tyrosine residue (Y195) cannot be used clinically due to severe side effects. In this study, 35 small-molecule compounds targeting SQLE 335 tyrosine residue (Y335) were selected by computer virtual screening. Combined with MTT assay, 3 candidate compounds (19^#, 31^# and 35^#) with significant inhibitory effects on the proliferation of Huh7 cell line were obtained. Further studies showed that these 3 compounds could inhibit the migration of Huh7 cells, reduce the contents of total and free cholesterol, up-regulate the expression of tumor suppressor gene PTEN, and down-regulate the expression of PI3K and AKT proteins. The results showed that the novel inhibitors 19^#, 31^# and 35^# targeting SQLE Y335 could reduce cholesterol content, inhibit the proliferation and migration of Huh7, thus playing an anti-liver cancer role.

With the advent of artificial intelligence (AI), machines are increasingly being used to complete complicated tasks, yielding remarkable results. Machine learning (ML) is the most relevant subset of AI in medicine, which will soon become an integral part of our everyday practice. Therefore, physicians should acquaint themselves with ML and AI, and their role as an enabler rather than a competitor. Herein, we introduce basic concepts and terms used in AI and ML, and aim to demystify commonly used AI/ML algorithms such as learning methods including neural networks/deep learning, decision tree and application domain in computer vision and natural language processing through specific examples. We discuss how machines are already being used to augment the physician's decision-making process, and postulate the potential impact of ML on medical practice and medical research based on its current capabilities and known limitations. Moreover, we discuss the feasibility of full machine autonomy in medicine.
Humans ; Artificial Intelligence ; Machine Learning ; Algorithms ; Neural Networks, Computer ; Medicine

Aim To study the inhibitory effect of attenuated salmonella SGN1, overexpressing methioninase, on nasopharyngeal carcinoma (NPC) and the underlying mechanism. Methods The cell proliferation, cell cycle, cell apoptosis, clony formation and migration a-bility of 5-8F, HNE-2, CNE-2 cells were measured u-sing flow cytometry assay, clone formation assay, and wound assay after the methionine restriction treatment. 5-8F, HNE-2, CNE-2 cells were infected with SGN1 at the multiplicity of infection (MOI) of 1: 100 for 5 hours, followed with the measurement of cell growth. A xenograft model was constructed by subcutaneous injection of 5-8F cells in mice to observe the inhibitory effect of SGN1 on nasopharyngeal carcinoma. Results Compared with the control group, methionine restriction significantly inhibited the proliferation, migration ability, and clone formation of nasopharyngeal carcinoma cells and blocked the G

Objective: To evaluate the recognition of acute respiratory infection (ARI) by a pretrained model based on electronic medical records (EMRs). Methods: 38 581 EMRs were obtained from Chongqing University Three Gorges Hospital in December 2021. Bidirectional encoder representation from transformers (BERT) pretrained model was used to identify ARI in EMRs. The results of medical professionals were considered as the gold standard to calculate the sensitivity, specificity, Kappa value, and area under the curve of the receiver operating characteristic (AUC). Results: There were 3 817 EMRs in the test set, with 1 200 ARIs. A total of 1 205 cases were determined as ARI by the model, with a sensitivity of 92.67% (1 112/1 200) and a specificity of 96.45% (2 524/2 617). The model identified ARI with similar accuracy in males and females (AUCs 0.95 and 0.94, respectively), and was more accurate in identifying ARI cases in those aged less than 18 than in adults 18-59 and adults 60 and older (AUCs 0.94, 0.89 and 0.94, respectively). The current model had a better identification of ARIs in outpatient patients than that in hospitalized patients, with AUCs of 0.74 and 0.95, respectively. Conclusion: The use of the BERT pretrained model based on EMRs has a good performance in the recognition of ARI cases, especially for the outpatients and juveniles. It shows a great potential to be applied to the monitoring of ARI cases in medical institutions.
Adult ; Male ; Female ; Humans ; Electronic Health Records ; Respiratory Tract Infections/diagnosis* ; Outpatients

With the gradual improvement of medical informatization and the vigorous development of medical and health big data，the exploration and practice of real -world research are becoming more and more mature ，and real -world data have become an important source of evidence for post marketing re -evaluation of drugs . As an important high -quality real -world medical data ， electronic medical record data is an indispensable data source for post marketing re -evaluation of drugs . Most of the existing guidelines and norms of real -world research are designed from the perspective of prospective research ，and do not propose specific measures and methods in the implementation of retrospective research ，especially for the operation suggestions on the technical level of using conventionally collected electronic medical record data . In combination with the operational process framework formulated by the existing guidelines and norms ，this paper creatively adds the operating procedures for dataE- validation，data integration ，data verification ，and throughout quality control ，data management and storage of retrospectiveelectronic medical record data ，and describes the data analysis methods and key points involved in carrying out multi -center retrospective real -world research using electronic medical record data ，taking the post marketing safety research of drugs as an example. Finally，the full process operation procedure applicable to the use of multi -center retrospective electronic medical record data is established .