A 77-year-old male patient was admitted to the hospital with the main cause of memory loss, visual hallucination for more than one year, aggravated for two months with sensitivity and paranoia. The patient exhibited signs of loss of smell, axial hypertonia, upper limb hypertonia, slow start, and propulsive gait. Cranial MRI suggested cerebral atrophy, bilateral hippocampal atrophy, and multiple cavernous cerebral infarcts. Severe memory deficits, moderate intellectual deficits, MMSE score of 12, mildly abnormal electroencephalography, and polysomnographic monitoring suggested a high likelihood of apnea syndrome. Prior to the onset of the disease, the patient had a history of swinging, shouting, and cursing during nighttime sleep, according to his family members. The final diagnosis was Lewy body dementia.

Rapid developments in biotechnology have led researchers to seek new method to improve the efficiency and accuracy of biomedical research and drug development,promoting interdisciplinary integration.Recent advancements in artificial intelligence(AI)technologies have brought unprecedented opportunities to this field.The integration of various AI models allows researchers to better utilize multi-omics data,identify disease phenotypes,interpret animal behavior,assess treatment effects,improve experimental designs,reduce the use of experimental animals,enhance animal facility management,and improve animal welfare.This article reviews the advancements in AI biomedical research over the past decade and discusses its contributions to disease phenotype identification,the selection and design of experimental animal models,animal behavior analysis,and animal facility management.It also points out the challenges related to data standardization,AI model selection and interpretability,the extrapolation process from AI models to animal experiments and clinical practice,as well as ethical considerations in using AI in sensitive areas involving human genetics and personalized medicine.This review aims to help researchers and practitioners in relevant fields understand the current state and opportunities of AI development,thus providing support for its broader application.

Objective To analyze the diagnostic value of right myocardial contrast echocardiography with a mixture of hand vibrating glucose and normal saline in congenital heart disease(CHD)of abnormal right-to-left shunt.Methods A total of 150 patients with suspected CHD of abnormal right-to-left shunt who underwent conventional echocardiography and right myocardial contrast echocardiography from January 2019 to August 2023 were selected as research objects.Transesophageal echocardiography was taken as the gold standard.The detection rate of conventional echocardiography and right myocardial contrast echocardiography were compared.Semi-quantitative grading of right myocardial contrast echocardiography was recorded.Results The diagnostic result was positive in 68 patients by digital subtraction angiography,in 48 patients by conventional echocardiography,in 66 patients by right myocardial contrast echocardiography.The detection rate and sensitivity of right myocardial contrast echocardiography to CHD of abnormal right-to-left shunt were higher than those of conventional echocardiography(all P<0.05).There were 84 cases of grade 0,22 cases of grade Ⅰ,26 cases of grade Ⅱ and 18 cases of grade Ⅲ according to the semi-quantitative classification.Conclusion Right myocardial contrast echocardiography with a mixture of glucose and saline has a high detection rate and sensitivity for CHD of abnormal right-to-left shunt.It can show internal cardiac results and has diagnostic value for the severity of CHD.

Rapid developments in biotechnology have led researchers to seek new method to improve the efficiency and accuracy of biomedical research and drug development,promoting interdisciplinary integration.Recent advancements in artificial intelligence(AI)technologies have brought unprecedented opportunities to this field.The integration of various AI models allows researchers to better utilize multi-omics data,identify disease phenotypes,interpret animal behavior,assess treatment effects,improve experimental designs,reduce the use of experimental animals,enhance animal facility management,and improve animal welfare.This article reviews the advancements in AI biomedical research over the past decade and discusses its contributions to disease phenotype identification,the selection and design of experimental animal models,animal behavior analysis,and animal facility management.It also points out the challenges related to data standardization,AI model selection and interpretability,the extrapolation process from AI models to animal experiments and clinical practice,as well as ethical considerations in using AI in sensitive areas involving human genetics and personalized medicine.This review aims to help researchers and practitioners in relevant fields understand the current state and opportunities of AI development,thus providing support for its broader application.

A 77-year-old male patient was admitted to the hospital with the main cause of memory loss, visual hallucination for more than one year, aggravated for two months with sensitivity and paranoia. The patient exhibited signs of loss of smell, axial hypertonia, upper limb hypertonia, slow start, and propulsive gait. Cranial MRI suggested cerebral atrophy, bilateral hippocampal atrophy, and multiple cavernous cerebral infarcts. Severe memory deficits, moderate intellectual deficits, MMSE score of 12, mildly abnormal electroencephalography, and polysomnographic monitoring suggested a high likelihood of apnea syndrome. Prior to the onset of the disease, the patient had a history of swinging, shouting, and cursing during nighttime sleep, according to his family members. The final diagnosis was Lewy body dementia.

Objective To establish a model of combined injury of thermal radiation and blast wave of gas explosion in closed pipeline,and investigate the characteristics of important organ injury induced by burn-blast combined injury in rats.Methods A total of 72 male SD rats(aged 8～10 weeks,weighing 200～10 g)were randomly divided into control group and mild and severe injured groups.After the model rats were inflicted with blast wave and thermal radiation,their physical parameters were detected and measured.The respiratory function of the survival rats was tested.In 24 h later,arterial blood gas analysis,blood biochemical tests,and detection for serum inflammatory factors and lung injury related protein levels were performed,and the pathological changes in the lung tissue and trachea were observed.Results The peak range of explosive blast wave overpressure was 209～493 kPa,and the temperature was 152～258 ℃.The mortality rate was 8.3％in the mild group and 53.1％in the severe group.Compared with the control group,longer inspiratory time(Ti)and relaxation time(Tr)and larger tidal volume(TV)(P＜0.05),while lower respiratory frequency(f)were observed in the 2 injured groups within 6 h after injury(P＜0.05).At 24 h after injury,the values of partial pressure of carbon dioxide(PaCO2),residual base value(BE)and bicarbonate(HCO3-)were increased significantly(P＜0.05),while partial pressure of oxygen(PaO2)was decreased(P＜0.05).The serum levels of alanine transaminase(ALT),aspartate aminotransferase(AST),alkaline phosphatase(ALP),total bilirubin(TBI)and total bile acid(TBA)were notably elevated(P＜0.05).So were the levels of IL-1 β,TNF-α and IL-6(P＜0.01).Various severities of hyperemia foci and inflammation in the tracheal mucosa were observed in the injured rats.The incidence of lung injury was high,and the pathological manifestations were dot-shaped hemorrhage to diffuse hemorrhage of the whole lobe,rupture of alveolar septum,thickening of septum,and infiltration of red blood cells and inflammatory cells.The levels of serum lung injury-related proteins were significantly increased(P＜0.05).Conclusion A rat model which can highly simulate mild to severe burn-blast combined injury is constructed,which can meet the needs for rat model in study of explosive burn-blast compound injury.The main characteristics of the injury are lung injury,respiratory dysfunction,liver damage and secondary infection.

Objective: To explore the roles of self efficacy and smoking rationalization tendency in the relationship between college students physical activity and smoking cessation beliefs, in order to provide a basis for the positive effects of college students physical activity on smoking cessation beliefs. Methods: From May 6 to 23 in 2023, 3 048 students from 10 colleges in Jiangxi Province were recruited and surveyed using the Physical Activity Participation Scale, the Smoking Cessation Self efficacy Scale, the Smoking Rationalization Tendency Scale and the Smoking Cessation Belief Scale. The Harman one way test was adopted for common method bias test. Bias correction was unfolded by Bootstrap method, and 95% confidence intervals of parameter estimates were analyzed using repeated sampling 5 000 times. Results: The results of the sequential mediation model analysis showed that physical activity was positively associated with college students beliefs about smoking cessation ( β =0.17), and physical activity, self efficacy and smoking rationalization tendency were positively associated with each other ( β =0.41, 0.08, 0.19) ( P <0.05). Both self efficacy and smoking rationalization tendency positively predicted smoking cessation beliefs ( β =0.19, 0.17, P <0.01). Self efficacy and smoking rationalization tendency mediated the relationship between physical activity and smoking cessation beliefs, with a mediating effect value of 0.09, accounting for 62.82% of the total effect value (0.15). Conclusions Self efficacy and smoking rationalization tendency have a serial mediating effect between physical activity and smoking cessation beliefs among college students. Interventions should be actively used to enhance college students beliefs about smoking cessation, promote smoking cessation behaviors.

【Objective】 To observe the safety and effectiveness of endovascular treatment for mild stroke patients with acute anterior circulation large vessel occlusion. 【Methods】 The retrospective study enrolled 38 mild stroke patients with anterior circulation large vessel occlusion who received endovascular thrombectomy (EVT) at The First Affiliated Hospital of Xi’an Jiaotong University between January 2018 and August 2021. Vascular recanalization rate after endovascular treatment (mTICI≥2b), procedural complications, NIHSS score at discharge, and the rate of good modified Rankin Score (mRS≤2) at 90d were observed. 【Results】 The average age of the 38 patients was 62.89±12.41 years, and there were 21 males (55.3%). The vascular recanalization rate post EVT was 100%, while with three cases of thrombosis escape (7.9%) and one case (2.6%) of sICH of 24 h post EVT. The average NIHSS at discharge was 1 (0-1) point, which significantly decreased compared to the average baseline NIHSS 4 (4-5) points (P<0.01). The 90 d followed-up rate was 89.47%, and among all the followed-up patients, 91.2% of them had mRS≤2. Imaging follow-up showed good vascular flow and no in-stent restenosis. 【Conclusion】 Endovascular treatment for acute anterior circulation large vessel occlusion in mild stroke is safe and effective.

The acute combination fractures of the atlas and axis in adults have a higher rate of neurological injury and early death compared with atlas or axial fractures alone. Currently, the diagnosis and treatment choices of acute combination fractures of the atlas and axis in adults are controversial because of the lack of standards for implementation. Non-operative treatments have a high incidence of bone nonunion and complications, while surgeries may easily lead to the injury of the vertebral artery, spinal cord and nerve root. At present, there are no evidence-based Chinese guidelines for the diagnosis and treatment of acute combination fractures of the atlas and axis in adults. To provide orthopedic surgeons with the most up-to-date and effective information in treating acute combination fractures of the atlas and axis in adults, the Spinal Trauma Group of Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field of spinal trauma to develop the Evidence-based guideline for clinical diagnosis and treatment of acute combination fractures of the atlas and axis in adults ( version 2023) by referring to the "Management of acute combination fractures of the atlas and axis in adults" published by American Association of Neurological Surgeons (AANS)/Congress of Neurological Surgeons (CNS) in 2013 and the relevant Chinese and English literatures. Ten recommendations were made concerning the radiological diagnosis, stability judgment, treatment rules, treatment options and complications based on medical evidence, aiming to provide a reference for the diagnosis and treatment of acute combination fractures of the atlas and axis in adults.

Objective To investigate the effect of silenced RBM8A gene on the biological behavior (proliferation, migration, and apoptosis) of human endometrial cancer HEC-1A cells and its possible mechanism. Methods The hairpin shRNA targeted by the RBM8A gene was designed, and the best shRNA silencing fragment was screened. The recombinant lentiviral interference vector carrying the target gene was constructed and used to infect HEC-1A cells. Cells with stable knockdown of RBM8A gene were screened by puromycin as the experimental group (shRBM8A), while the shRNA of nonsense sequence was designed as the control group (shControl). CCK-8 method was used to detect cell proliferation, and flow cytometry was used to detect cell apoptosis. Transwell assay was used to detect cell migration and invasion. Western blot was used to analyze the expression of apoptosis-related proteins and EMT signal transduction pathway related proteins. Results In comparison with the shControl group, after RBM8A knockdown, HEC-1A cell proliferation was reduced, apoptosis was increased, migration and invasion ability were significantly inhibited (P < 0.05), the expression of apoptosis-related proteins cleaved caspase 9 and caspase 3 increased, EMT-related protein E-cadherin expression increased, and Vimentin expression decreased. Conclusion RBM8A gene silencing can inhibit the proliferation, migration, and invasion and promote the apoptosis of endometrial cancer cells. The inhibition of EMT signal transduction pathway may be its mechanism.