OBJECTIVE: The relationship between fish consumption and stroke is inconsistent, and it is uncertain whether this association varies across predicted stroke risks. METHODS: A cohort study comprising 95,800 participants from the Prediction for Atherosclerotic Cardiovascular Disease Risk in China project was conducted. A standardized questionnaire was used to collect data on fish consumption. Participants were stratified into low- and moderate-to-high-risk categories based on their 10-year stroke risk prediction scores. Hazard ratios ( HRs) and 95% confidence intervals ( CIs) were estimated using Cox proportional hazard models and additive interaction by relative excess risk due to interaction (RERI), attributable proportion (AP), and synergy index (SI). RESULTS: During 703,869 person-years of follow-up, 2,773 incident stroke events were identified. Higher fish consumption was associated with a lower risk of stroke, particularly among moderate-to-high-risk individuals ( HR = 0.53, 95% CI: 0.47-0.60) than among low-risk individuals ( HR = 0.64, 95% CI: 0.49-0.85). A significant additive interaction between fish consumption and predicted stroke risk was observed (RERI = 4.08, 95% CI: 2.80-5.36; SI = 1.64, 95% CI: 1.42-1.89; AP = 0.36, 95% CI: 0.28-0.43). CONCLUSION Higher fish consumption was associated with a lower risk of stroke, and this beneficial association was more pronounced in individuals with moderate-to-high stroke risk.
Humans ; China/epidemiology* ; Male ; Female ; Stroke/etiology* ; Middle Aged ; Prospective Studies ; Incidence ; Aged ; Animals ; Fishes ; Risk Factors ; Diet ; Seafood ; Adult ; Cohort Studies

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

Objective To design an intelligent airborne soldier physical training system based on human body composition analysis to solve the problems in diversity of training mode,targeted training plan and high incidence of military training-related injuries.Methods The intelligent airborne military physical training system was designed with B/S architecture and developed with Python language,which was composed of four functional modules for airborne soldier information acquisition,trainee physical fitness state assessment,physical fitness training program recommendation and airborne soldier physical fitness training program evaluation.The airborne soldier information acquisition module collected and analyzed the trainee physiological parameter information with a human body composition analyzer,clarified the parameter characteristics related to physical training with considerations on military physical training requirements and constructed a trainee physical fitness assessment parameter model;the trainee physical fitness state assessment module established an evaluation model based on machine learning to realize stage-by-stage physical fitness evaluation for airborne soldiers;the physical fitness training program recommendation module was constructed based on the physical training feature similarity algorithm and graph embedding theory to provide decision making assistance for program development of airborne military physical training;the airborne soldier physical fitness training program evaluation module compared the physical fitness and evaluation results before and after training by means of list and chart,and updated the training program based on the evaluation results by calling the physical training program recommendation module.Results The intelligent airborne soldier physical training system contributed to forming an individualized physical fitness training recommendation mechanism after trainee body evaluation,modifying training program based on comparison and feedback for stage-by-stage training evaluation,so as to decrease the incidence of military training-related injuries while increasing the training efficiency.Conclusion The system developed improves airborne soldier physical training in rationality and reliability,and provides references for intelligent military training of the PLA.[Chinese Medical Equipment Journal,2025,46(2):16-23]

AIM To study the effects of total flavonoids of Dracocephalum Moldavica L.(TFDM)on reducing the inflammatory response of RAW264.7 macrophages induced by ox-LDL via the nuclear factor κB(NF-κB)/NOD-like receptor 3(NLRP3)signaling pathway.METHODS The RAW264.7 macrophages cultured in vitro were divided into the normal group,the model group(50 μg/mL ox-LDL),the TFDM group(100 μg/mL TFDM+50 μg/mL ox-LDL),the NF-κB inhibitor group(10 μmol/L Bay11-7821+50 μg/mL ox-LDL)and the TFDM+NF-κB inhibitor group(100 μg/mL TFDM+10 μmol/L Bay11-7821+50 μg/mL ox-LDL).The cells had their viability assessed by CCK-8 method;their ROS expression detected by the ROS kit;their mRNA expressions of NF-κB p65,NLRP3,Caspase-1,IL-18 and IL-1β detected by RT-qPCR;their protein expressions of NF-κB p65,IκBα,NLRP3,pro-Caspase-1,Caspase-1,IL-18 and IL-1β by Western blot;their protein expressions of NF-κB p65 and NLRP3 detected using immunofluorescence method.RESULTS Compared with the normal group,the model group showed increased ROS expression(P＜0.01);increased mRNA expressions of NF-κB p65,NLRP3,Caspase-1,IL-18 and IL-1β(P＜0.05,P＜0.01);decreased protein expressions of IκBα and cytoplasmic NF-κB p65(P＜0.01);increased protein expressions of nuclear NF-κB p65,NLRP3,Caspase-1,IL-1 β and IL-18(P＜0.01);and increased fluorescence intensity of NF-κB p65 and NLRP3(P＜0.01).Compared with the model group,the groups intervened with either TFDM or TFDM+inhibitor displayed decreased ROS expression(P＜0.01);the groups administrated with TFDM or NF-κB inhibitor,or TFDM+inhibitor showed decreased mRNA expressions of NF-κB p65,NLRP3,Caspase-1,IL-18 and IL-1β(P＜0.05,P＜0.01),increased protein expressions of IκBα and cytoplasmic NF-κB p65(P＜0.05,P＜0.01),decreased protein expressions of nuclear NF-κB p65,NLRP3,Caspase-1,IL-1β and IL-18(P＜0.05,P＜0.01),and decreased fluorescence intensity of NF-κB p65 and NLRP3(P＜0.01).There existed no significant group difference between the TFDM group and the NF-κB inhibitor group(P＞0.05).The TFDM+inhibitor group demonstrated decreased mRNA expressions of IL-1βand IL-18(P＜0.05),increased IκBα protein expression(P＜0.05),decreased protein expressions of nuclear NF-κB p65,NLRP3,Caspase-1,IL-1 β and IL-18(P＜0.05),and decreased fluorescence intensity of NLRP3 protein(P＜0.05).CONCLUSION TFDM can inhibit the ox-LDL-induced inflammatory response of RAW264.7 macrophages,and the mechansism may be associated with the reduced ROS expression and inflammatory factors due to the inhibited activation of the NF-κB/NLRP3 signaling pathway.

Objective To design an intelligent airborne soldier physical training system based on human body composition analysis to solve the problems in diversity of training mode,targeted training plan and high incidence of military training-related injuries.Methods The intelligent airborne military physical training system was designed with B/S architecture and developed with Python language,which was composed of four functional modules for airborne soldier information acquisition,trainee physical fitness state assessment,physical fitness training program recommendation and airborne soldier physical fitness training program evaluation.The airborne soldier information acquisition module collected and analyzed the trainee physiological parameter information with a human body composition analyzer,clarified the parameter characteristics related to physical training with considerations on military physical training requirements and constructed a trainee physical fitness assessment parameter model;the trainee physical fitness state assessment module established an evaluation model based on machine learning to realize stage-by-stage physical fitness evaluation for airborne soldiers;the physical fitness training program recommendation module was constructed based on the physical training feature similarity algorithm and graph embedding theory to provide decision making assistance for program development of airborne military physical training;the airborne soldier physical fitness training program evaluation module compared the physical fitness and evaluation results before and after training by means of list and chart,and updated the training program based on the evaluation results by calling the physical training program recommendation module.Results The intelligent airborne soldier physical training system contributed to forming an individualized physical fitness training recommendation mechanism after trainee body evaluation,modifying training program based on comparison and feedback for stage-by-stage training evaluation,so as to decrease the incidence of military training-related injuries while increasing the training efficiency.Conclusion The system developed improves airborne soldier physical training in rationality and reliability,and provides references for intelligent military training of the PLA.[Chinese Medical Equipment Journal,2025,46(2):16-23]

AIM To study the effects of total flavonoids of Dracocephalum Moldavica L.(TFDM)on reducing the inflammatory response of RAW264.7 macrophages induced by ox-LDL via the nuclear factor κB(NF-κB)/NOD-like receptor 3(NLRP3)signaling pathway.METHODS The RAW264.7 macrophages cultured in vitro were divided into the normal group,the model group(50 μg/mL ox-LDL),the TFDM group(100 μg/mL TFDM+50 μg/mL ox-LDL),the NF-κB inhibitor group(10 μmol/L Bay11-7821+50 μg/mL ox-LDL)and the TFDM+NF-κB inhibitor group(100 μg/mL TFDM+10 μmol/L Bay11-7821+50 μg/mL ox-LDL).The cells had their viability assessed by CCK-8 method;their ROS expression detected by the ROS kit;their mRNA expressions of NF-κB p65,NLRP3,Caspase-1,IL-18 and IL-1β detected by RT-qPCR;their protein expressions of NF-κB p65,IκBα,NLRP3,pro-Caspase-1,Caspase-1,IL-18 and IL-1β by Western blot;their protein expressions of NF-κB p65 and NLRP3 detected using immunofluorescence method.RESULTS Compared with the normal group,the model group showed increased ROS expression(P＜0.01);increased mRNA expressions of NF-κB p65,NLRP3,Caspase-1,IL-18 and IL-1β(P＜0.05,P＜0.01);decreased protein expressions of IκBα and cytoplasmic NF-κB p65(P＜0.01);increased protein expressions of nuclear NF-κB p65,NLRP3,Caspase-1,IL-1 β and IL-18(P＜0.01);and increased fluorescence intensity of NF-κB p65 and NLRP3(P＜0.01).Compared with the model group,the groups intervened with either TFDM or TFDM+inhibitor displayed decreased ROS expression(P＜0.01);the groups administrated with TFDM or NF-κB inhibitor,or TFDM+inhibitor showed decreased mRNA expressions of NF-κB p65,NLRP3,Caspase-1,IL-18 and IL-1β(P＜0.05,P＜0.01),increased protein expressions of IκBα and cytoplasmic NF-κB p65(P＜0.05,P＜0.01),decreased protein expressions of nuclear NF-κB p65,NLRP3,Caspase-1,IL-1β and IL-18(P＜0.05,P＜0.01),and decreased fluorescence intensity of NF-κB p65 and NLRP3(P＜0.01).There existed no significant group difference between the TFDM group and the NF-κB inhibitor group(P＞0.05).The TFDM+inhibitor group demonstrated decreased mRNA expressions of IL-1βand IL-18(P＜0.05),increased IκBα protein expression(P＜0.05),decreased protein expressions of nuclear NF-κB p65,NLRP3,Caspase-1,IL-1 β and IL-18(P＜0.05),and decreased fluorescence intensity of NLRP3 protein(P＜0.05).CONCLUSION TFDM can inhibit the ox-LDL-induced inflammatory response of RAW264.7 macrophages,and the mechansism may be associated with the reduced ROS expression and inflammatory factors due to the inhibited activation of the NF-κB/NLRP3 signaling pathway.

The study aims to investigate and compare the effects of probiotics and docosahexaenoic acid (DHA) with the Alzheimer's disease (AD) therapeutic drug donepezil on the learning cognition and brain damage related indexes in AD mice, and to provide experimental basis for its treatment of AD. All animal experiments were approved by the Ethics Committee of the Henan University of Chinese Medicine (ethics number DWLL2018080003). Fifty male C57BL/6J mice were randomly assigned to one of five groups: sham-operated, model, donepezil (10 mg·kg^-1), probiotic (2.7×10⁹ CFU·d^-1), and DHA (0.104 g·kg^-1). Except for the sham-operated group, the AD animal model was established by injecting Aβ_25-35 (200 μmol·L^-1) in the lateral ventricle, followed by gavage administration for 4 weeks. In all mouse groups, learning memory ability, neuronal morphology in the hippocampus, apoptosis of primary hippocampal cells, and immune cell levels were detected. The levels of Aβ_1-42, Aβ_1-40, p-Tau, AchE, Ach, oxidative stress, glial cell activation, and the inflammatory factors IL-1β, IL-10, and TNF-α in the brain tissue of mice were also detected. 16S rDNA sequencing was used to further investigate the effects of donepezil and probiotics on AD. Donepezil, probiotics and DHA improved cognitive deficits and enhanced learning memory in Aβ_25-35-induced mice by increasing locomotion time, locomotion distance, autonomic alternation rate, and shortening the time to reach the plateau; it significantly attenuated Aβ_25-35-induced brain injury and neuroinflammation in mice by decreasing Aβ_1-42, Aβ_1-40, p-Tau, AchE, IL-1β, TNF-α, and MDA and increasing the levels of Ach, IL-10, GSH-Px, and T-SOD in brain tissues, as well as decreasing the activation of glial cells, and had a modulatory effect on immune cells. 16S rDNA sequencing shows that both donepezil and probiotics restore flora homeostasis and that differential bacteria are strongly associated with cognition, AD pathology, and neuroinflammation. Combining all indicators, donepezil and probiotics were more effective than DHA. All in all, donepezil, probiotics and DHA ameliorate Aβ_25-35-induced cognitive dysfunction and brain damage in mice by modulating immune cells, reducing the number of apoptotic cells and glial cell activation in the brain, and decreasing the levels of oxidative stress and inflammatory factor expression, among which the effects of donepezil and probiotics were better than those of DHA, and the therapeutic effects of donepezil and probiotics on AD were closely related to the modulation of gut microbiome.

Aim To investigate the protective effect of total flavonoids of Dracocephalum moldavica(TFDM)on atherosclerosis in rats and the inflammation of mouse macrophage RAW264.7 aggravated by trimeth-ylamine N-oxide(TMAO)and its possible mecha-nism.Methods The AS model of SD rats was estab-lished by high-fat diet feeding combined with intraper-itoneal injection of vitamin D3.The rats were divided into control group,model group,simvastatin group(15 mg·kg-1)and TFDM group(60,30,15 mg·kg-1).Biochemical method was used to detect the levels of se-rum total cholesterol(TC),triglyceride(TG)and low density lipoprotein cholesterol(LDL-C).HE staining was used to detect the pathological changes of aortic tissue.ELISA kit was used to detect the expression of TMAO,IL-1β,IL-6 in serum and TNF-α in liver tis-sue.Western blot was used to detect the expression of JAK,STAT and TNF-α protein in aorta.In addition,RAW264.7 macrophages were cultured in vitro,and LPS+TMAO was used to establish a macrophage in-flammation model,which was intervened by TFDM(100,50,25 mg·L-1).CCK-8 was used to determine cell viability and proliferation,and RT-qPCR was used to detect the expression of TNF-α,IL-6,JAK and STAT mRNA in cells.Results TFDM could significantly down-regulate the levels of serum TC,TG,LDL-C,ser-um TMAO,IL-1β,IL-6 and liver TNF-α,reduce aortic plaque deposition,and down-regulate the protein ex-pression of TNF-α,JAK and STAT in aorta.In addi-tion,TFDM intervention can significantly down-regulate the expression of TNF-α,IL-6,JAK,STAT mRNA and the expression of JAK,STAT protein.Conclusion TFDM can reduce the content of TMAO in serum,in-hibit JAK/STAT inflammatory signaling pathway and slow down the occurrence of inflammation,playing an anti-AS role.

Objective: This cross-sectional investigation aimed to determine the incidence, clinical characteristics, prognosis, and related risk factors of olfactory and gustatory dysfunctions related to infection with the SARS-CoV-2 Omicron strain in mainland China. Methods: Data of patients with SARS-CoV-2 from December 28, 2022, to February 21, 2023, were collected through online and offline questionnaires from 45 tertiary hospitals and one center for disease control and prevention in mainland China. The questionnaire included demographic information, previous health history, smoking and alcohol drinking, SARS-CoV-2 vaccination, olfactory and gustatory function before and after infection, other symptoms after infection, as well as the duration and improvement of olfactory and gustatory dysfunction. The self-reported olfactory and gustatory functions of patients were evaluated using the Olfactory VAS scale and Gustatory VAS scale. Results: A total of 35 566 valid questionnaires were obtained, revealing a high incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain (67.75%). Females(χ2=367.013, P<0.001) and young people(χ2=120.210, P<0.001) were more likely to develop these dysfunctions. Gender(OR=1.564, 95%CI: 1.487-1.645), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), oral health status (OR=0.881, 95%CI: 0.839-0.926), smoking history (OR=1.152, 95%CI=1.080-1.229), and drinking history (OR=0.854, 95%CI: 0.785-0.928) were correlated with the occurrence of olfactory and taste dysfunctions related to SARS-CoV-2(above P<0.001). 44.62% (4 391/9 840) of the patients who had not recovered their sense of smell and taste also suffered from nasal congestion, runny nose, and 32.62% (3 210/9 840) suffered from dry mouth and sore throat. The improvement of olfactory and taste functions was correlated with the persistence of accompanying symptoms(χ2=10.873, P=0.001). The average score of olfactory and taste VAS scale was 8.41 and 8.51 respectively before SARS-CoV-2 infection, but decreased to3.69 and 4.29 respectively after SARS-CoV-2 infection, and recovered to 5.83and 6.55 respectively at the time of the survey. The median duration of olfactory and gustatory dysfunctions was 15 days and 12 days, respectively, with 0.5% (121/24 096) of patients experiencing these dysfunctions for more than 28 days. The overall self-reported improvement rate of smell and taste dysfunctions was 59.16% (14 256/24 096). Gender(OR=0.893, 95%CI: 0.839-0.951), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), history of head and facial trauma(OR=1.180, 95%CI: 1.036-1.344, P=0.013), nose (OR=1.104, 95%CI: 1.042-1.171, P=0.001) and oral (OR=1.162, 95%CI: 1.096-1.233) health status, smoking history(OR=0.765, 95%CI: 0.709-0.825), and the persistence of accompanying symptoms (OR=0.359, 95%CI: 0.332-0.388) were correlated with the recovery of olfactory and taste dysfunctions related to SARS-CoV-2 (above P<0.001 except for the indicated values). Conclusion: The incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain is high in mainland China, with females and young people more likely to develop these dysfunctions. Active and effective intervention measures may be required for cases that persist for a long time. The recovery of olfactory and taste functions is influenced by several factors, including gender, SARS-CoV-2 vaccination status, history of head and facial trauma, nasal and oral health status, smoking history, and persistence of accompanying symptoms.
Female ; Humans ; Adolescent ; SARS-CoV-2 ; Smell ; COVID-19/complications* ; Cross-Sectional Studies ; COVID-19 Vaccines ; Incidence ; Olfaction Disorders/etiology* ; Taste Disorders/etiology* ; Prognosis

Objective: To examine the application value of 3D Slicer software assisted domestic frameless stereotactic robot in biopsy of intracranial lesions. Methods: A retrospective analysis was performed on 80 patients who admitted consecutively and underwent intracerebral lesions biopsy with the domestic frameless stereotactic robot at Department of Neurosurgery, Aerospace Central Hospital from January 2019 to December 2021. There were 36 males and 44 females, with a mean age of (38.5±18.0) years (range: 6 to 71 years). Before surgery only enhanced T1-weighted three-dimensional magnetization prepared gradient echo sequences and diffusion tensor imaging scans were performed. Self-reconstruction of intracranial lesions, cerebral cortex and blood vessels was carried out using 3D Slicer software system after the DICOM format imaging data of 80 patients were collected. These imaging data were merged to the workstation of the domestic frameless stereotactic robot for preoperative surgical planning and the surgical puncture path was designed to avoid blood vessels in the brain functional area, cerebral cortex and sulcus. Results: All frameless stereotactic biopsy were successfully performed. Postoperative pathological diagnosis included 50 cases of diffuse astrocytic and oligodendroglioma, 15 cases of lymphoma, 5 cases of metastatic tumors, 5 cases of inflammatory demyelinating disease, 2 cases of inflammatory granuloma, 1 case of hemangioma, 1 case of acute lymphoblastic leukemia intracranial invasion and 1 case of seminoma. The positive diagnosis rate was 100% (80/80). Postoperative imaging confirmed that the puncture path and target were accurately implemented according to the preoperative planning, and the target error was (1.32±0.44) mm (range: 0.55 to 1.99 mm). One case of puncture-related bleeding occurred at the target after surgery and improved after treatment. Conclusion: The three-dimensional multimodal images reconstructed by the 3D Slicer software before operation could help the surgeons make the preoperative planning and reduce the risk of stereotactic brain biopsy.
Male ; Female ; Humans ; Child ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Aged ; Brain Neoplasms/pathology* ; Diffusion Tensor Imaging ; Retrospective Studies ; Robotics ; Biopsy ; Software ; Stereotaxic Techniques