ObjectiveTo investigate the intervention effects of Suanzaoren Tang on depression model rats induced by isolation combined with chronic unpredictable mild stress （CUMS）， and to examine its influence on the c-Jun N-terminal kinase （JNK）/proto-oncogene protein （c-Myc）/tumor suppressor protein 53 （p53） signaling pathway， thereby revealing its potential functional mechanism. MethodsA total of 72 male SD rats were randomly divided into six groups using a strict random number table： blank group， model group， fluoxetine group （3.6 mg·kg^-1）， and high-， medium-， and low-dose Suanzaoren Tang groups （10， 5， 2.5 g·kg^-1），with 12 rats in each group. A depression model was established using isolation combined with CUMS. Fluoxetine and different doses of Suanzaoren Tang were administered continuously for 28 days. Behavioral indicators such as sucrose water consumption and open field test scores were recorded. Western blot and immunohistochemistry （IHC） were employed to analyze the expression of key proteins in the JNK/c-Myc/p53 signaling pathway， and the terminal deoxynucleotidyl transferase dUTP nick end labeling （TUNEL） assay was used to evaluate the number of apoptotic cells in the hippocampus. ResultsCompared with the blank group， the model group exhibited a significantly reduced sucrose preference index （P<0.01）， a lower total score of horizontal and vertical movements in the open field test （P<0.01）， significantly increased expression of JNK， c-Myc， and p53 proteins in the hippocampus （P<0.01）， and a higher number of TUNEL-positive cells in the hippocampus （P<0.01）. Compared with the model group， the sucrose preference index and the total score of horizontal and vertical movements in the open field test significantly increased in the high- and medium-dose Suanzaoren Tang groups and the fluoxetine group （P<0.05， P<0.01）. The expression of JNK， c-Myc， and p53 proteins significantly decreased in all Suanzaoren Tang groups （high， medium， and low doses） and the fluoxetine group （P<0.05， P<0.01）. The number of TUNEL-positive cells in the hippocampus also significantly decreased in these groups （P<0.01）. ConclusionSuanzaoren Tang can regulate the expression of JNK/c-Myc/p53 proteins in the hippocampus of depression model rats， and its antidepressant mechanism may be related to its protective effect on hippocampal neurons.

Objective: To investigate the influencing factors of overactive bladder (OAB) in college freshmen and the impacts of OAB on their mental health, quality of life and social interaction. Methods: An epidemiological questionnaire survey was conducted in an anonymous manner on the prevalence of OAB among 5300 freshmen aged 17 to 22 years enrolled in the 2023—2024 academic year in Xinxiang Medical University and Sanquan College of Xinxiang Medical University.The questionnaire included questions on basic information, history of urinary tract infection, constipation, smoking, history of alcohol consumption, history of coffee/strong tea drinking, history of carbonated beverage drinking, redundant prepuce, phimosis, holding urine, chronic insomnia, self-rating anxiety scale (SAS), quality of life score (QoL), and social avoidance and distress scale (SADS).The influencing factors of OAB were analyzed with multivariate logistic regression analysis.The subjects were grouped according to whether they had OAB, and the differences in SAS, QoL and SADS between the OAB group and non-OAB group were compared.The impacts of OAB on the anxiety level, quality of life, and social interaction were analyzed with multiple linear regression analysis. Results: The overall prevalence rate of OAB was 4.9% (244/5018).Multivariate logistic regression analysis showed that the history of urinary tract infection (OR=0.177), constipation (OR=0.636), smoking (OR=0.582), alcohol consumption (OR=0.685), coffee/strong tea drinking (OR=0.387), carbonated beverage drinking (OR=0.631), redundant prepuce (OR=0.673), phimosis (OR=0.311), urine holding (OR=0.593), and chronic insomnia (OR=0.256) were influencing factors for the occurrence of OAB (P＜0.05).The OAB group had higher SAS score [(41.18±6.54) vs. (38.61±6.36)], QoL score [(3.65±1.20) vs. (2.79±0.95)], social avoidance score [(6.25±1.86) vs. (5.86±1.51)], social distress score [(6.27±1.59) vs. (5.97±1.32)], and total SADS score [(12.51±2.35) vs. (11.84±2.01)] than the non-OAB group (P＜0.05).The results of multiple linear regression analysis showed that OAB could independently affect the scores of QoL, SAS, and SADS.The OAB group had higher scores of QoL, SAS, and SADS compared with the non-OAB group (P＜0.001). Conclusion: History of urinary tract infection, constipation, smoking, alcohol consumption, coffee/strong tea drinking, carbonated beverage drinking, redundant prepuce, phimosis, urine holding, and chronic insomnia are influencing factors for the occurrence of OAB in male college students.Moreover, OAB has negative impacts on their mental health, quality of life, and social interaction.

ObjectiveTo explore the effects of Renshentang on atherosclerosis （AS） in mice based on the role of transient receptor potential vanilloid1 （TRPV1） in regulating cholesterol metabolism in foam cells. MethodsNine SPF-grade 8-week-old C57BL/6J mice were set as a normal group， and 60 ApoE^-/- mice were randomized into model， positive drug （simvastatin， 0.02 g·kg^-1·d^-1）， and low-， medium-， and high-dose （1.77， 3.54， 7.08 g·kg^-1·d^-1， respectively） Renshentang groups （n=12） according to body weight. The normal group was fed with a normal diet， and the other groups were fed with a high-fat diet and given corresponding drugs by oral gavage for the modeling of AS. The mice were administrated with corresponding drugs once a day for 12 weeks. After the last administration and fasting for 12 h， the aorta was collected. Plaque conditions， pathological changes， levels of total cholesterol （TC）， triglcerides （TG）， low-density lipoprotein-cholesterol （LDL-C）， and high-density lipoprotein-cholesterol （HDL-C）， and the expression of TRPV1， liver X receptor （LXR）， inducible degrader of the low-density lipoprotein receptor （IDOL）， and low-density lipoprotein receptor （LDLR） in the aortic tissue were observed and detected by gross oil red O staining， HE staining， Western blot， immunohistochemistry， and real-time PCR. ResultsCompared with the normal group， the model group presented obvious plaque deposition in the aorta， raised levels of TC， TG， and LDL-C in the serum （P<0.01）， up-regulated expression level of LDLR in the aorta （P<0.01）， lowered level of HDL-C in the serum， and down-regulated expression levels of TRPV1， LXR， and IDOL in the aorta （P<0.05， P<0.01）. Compared with the model group， the positive drug and Renshentang at different doses alleviated AS， elevated the levels of HDL-C， TRPV1， LXR， and IDOL （P<0.05， P<0.01）， while lowering the levels of TC， TG， LDL-C， and LDLR （P<0.05， P<0.01）. ConclusionRenshentang has a lipid-lowering effect on AS mice. It can effectively reduce lipid deposition， lipid levels， and plaque area of AS mice by activating TRPV1 expression and regulating the LXR/IDOL/LDLR pathway.

ObjectiveTo explore the effects of Renshentang on atherosclerosis （AS） in mice based on the role of transient receptor potential vanilloid1 （TRPV1） in regulating cholesterol metabolism in foam cells. MethodsNine SPF-grade 8-week-old C57BL/6J mice were set as a normal group， and 60 ApoE^-/- mice were randomized into model， positive drug （simvastatin， 0.02 g·kg^-1·d^-1）， and low-， medium-， and high-dose （1.77， 3.54， 7.08 g·kg^-1·d^-1， respectively） Renshentang groups （n=12） according to body weight. The normal group was fed with a normal diet， and the other groups were fed with a high-fat diet and given corresponding drugs by oral gavage for the modeling of AS. The mice were administrated with corresponding drugs once a day for 12 weeks. After the last administration and fasting for 12 h， the aorta was collected. Plaque conditions， pathological changes， levels of total cholesterol （TC）， triglcerides （TG）， low-density lipoprotein-cholesterol （LDL-C）， and high-density lipoprotein-cholesterol （HDL-C）， and the expression of TRPV1， liver X receptor （LXR）， inducible degrader of the low-density lipoprotein receptor （IDOL）， and low-density lipoprotein receptor （LDLR） in the aortic tissue were observed and detected by gross oil red O staining， HE staining， Western blot， immunohistochemistry， and real-time PCR. ResultsCompared with the normal group， the model group presented obvious plaque deposition in the aorta， raised levels of TC， TG， and LDL-C in the serum （P<0.01）， up-regulated expression level of LDLR in the aorta （P<0.01）， lowered level of HDL-C in the serum， and down-regulated expression levels of TRPV1， LXR， and IDOL in the aorta （P<0.05， P<0.01）. Compared with the model group， the positive drug and Renshentang at different doses alleviated AS， elevated the levels of HDL-C， TRPV1， LXR， and IDOL （P<0.05， P<0.01）， while lowering the levels of TC， TG， LDL-C， and LDLR （P<0.05， P<0.01）. ConclusionRenshentang has a lipid-lowering effect on AS mice. It can effectively reduce lipid deposition， lipid levels， and plaque area of AS mice by activating TRPV1 expression and regulating the LXR/IDOL/LDLR pathway.

Background::Risk assessment and treatment stratification for three-vessel coronary disease (TVD) remain challenging. This study aimed to investigate the prognostic value of left atrial volume index (LAVI) with the Synergy Between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) score II, and its association with the long-term prognosis after three strategies (percutaneous coronary intervention [PCI], coronary artery bypass grafting [CABG], and medical therapy [MT]) in patients with TVD.Methods::This study was a post hoc analysis of a large, prospective cohort of patients with TVD in China, that aimed to determine the long-term outcomes after PCI, CABG, or optimal MT alone. A total of 8943 patients with TVD were consecutively enrolled between 2004 and 2011 at Fuwai Hospital. A total of 7818 patients with available baseline LAVI data were included in the study. Baseline, procedural, and follow-up data were collected. The primary endpoint was major adverse cardiac and cerebrovascular events (MACCE), which was a composite of all-cause death, myocardial infarction (MI), and stroke. Secondary endpoints included all-cause death, cardiac death, MI, revascularization, and stroke. Long-term outcomes were evaluated among LAVI quartile groups. Results::During a median follow-up of 6.6 years, a higher LAVI was strongly associated with increased risk of MACCE (Q3: hazard ratio [HR] 1.20, 95% confidence interval [CI] 1.06-1.37, P = 0.005; Q4: HR 1.85, 95%CI 1.64-2.09, P <0.001), all-cause death (Q3: HR 1.41, 95% CI 1.17-1.69, P <0.001; Q4: HR 2.54, 95%CI 2.16-3.00, P <0.001), and cardiac death (Q3: HR 1.81, 95% CI 1.39-2.37, P <0.001; Q4: HR 3.47, 95%CI 2.71-4.43, P <0.001). Moreover, LAVI significantly improved discrimination and reclassification of the SYNTAX score II. Notably, there was a significant interaction between LAVI quartiles and treatment strategies for MACCE. CABG was associated with lower risk of MACCE than MT alone, regardless of LAVI quartiles. Among patients in the fourth quartile, PCI was associated with significantly increased risk of cardiac death compared with CABG (HR: 5.25, 95% CI: 1.97-14.03, P = 0.001). Conclusions::LAVI is a potential index for risk stratification and therapeutic decision-making in patients with three-vessel coronary disease. CABG is associated with improved long-term outcomes compared with MT alone, regardless of LAVI quartiles. When LAVI is severely elevated, PCI is associated with higher risk of cardiac death than CABG.

Objective:To construct a non-invasive pre-hospital screening model and early based on artificial intelligence algorithms to provide the severity of stroke in patients, provide screening, guidance and early warning for stroke patients and their families, and provide data support for clinical decision-making.Methods:A retrospective study was conducted. The clinical information of stroke patients ( n = 53?793) were extracted from the Yidu cloud big data server system of the Second Affiliated Hospital of Dalian Medical University from January 1, 2001 to July 31, 2023. Combined with the results of single factor screening and the opinions of experts with senior professional titles in neurology, the input variable was determined, and the output variable was the National Institutes of Health Stroke Scale (NIHSS) representing the severity of the disease at admission. Python 3.7 was used to build DeepFM algorithm model, and five data mining models including Logistic regression, CART decision tree, C5.0 decision tree, Bayesian network and deep neural network (DNN) were built at the same time. The original data were randomly divided into 80% training set and 20% test set, which were used to train and test the models, adjust the parameters of each model, respectively calculate the accuracy, sensitivity and F-index of the six models, carry out the comprehensive comparison and evaluation of the model. The receiver operator characteristic curve (ROC curve) and calibration curve were drawn, compared the prediction performance of DeepFM model and the other five algorithms. In addition, the data of stroke patients ( n = 1?028) were extracted from Dalian Central Hospital for external verification of the model. Results:A total of 14?015 stroke patients with complete information were selected, including 11?212 in the training set and 2?803 in the testing set. After univariate screening, 14 indicators were included to construct the model, including gender, age, recurrence, physical impairment, facial problems, speech disorders, head reactions, disturbance of consciousness, visual disorders, abnormal cough and swallowing, high risk factor, family history, smoking history and drinking history. DeepFM model adopted the two-order crossover feature. The number of hidden layers in DNN layer was 3. Dropout was used to discard the neurons in the neural network. Rule was used as the activation function. Each layer used Dense full connection. The objective function was random gradient descent. The number of iterations was 15. There were 133?922 training parameters in total. Comparing the predictive value of the six models showed that the accuracy of DeepFM model was 0.951, the sensitivity was 0.992, the specificity was 0.814, the F-index was 0.950, and the area under the curve (AUC) was 0.916. The accuracy of the other five data mining models were between 0.771-0.780, the sensitivity were between 0.978-0.987, the F-index were between 0.690-0.707, and the AUC were between 0.568-0.639. The calibration curve of the DeepFM model was more aligned with the ideal curve than the other five data mining models. Suggesting that the prediction performance of DeepFM model was the best. External validation was conducted on the DeepFM model, and its accuracy was 0.891, indicating good generalization performance of the model.Conclusion:The pre-hospital non-invasive screening prediction model based on DeepFM can accurately predict the severity grading of stroke patients, and has potential application value in rapid screening and early clinical decision-making of stroke.

Purpose/Significance To analyze the technical situation of patent owners in the field of clinical decision support system(CDSS)in China as a whole,so as to provide references for CDSS related technical research.Method/Process Firstly,the CDSS patent data are analyzed from the aspects of application trend,patent disclosure,technology field distribution,etc.,then the patentees are di-vided into different categories,and their technical concerns are analyzed by word frequency and interword vector.Finally,the technology correlation and patent exclusives are analyzed based on the active patentees.Result/Conclusion The number of CDSS patent disclosure shows an overall increasing trend.This field has not formed a technological monopoly in China.Government departments and research in-stitutions should pay attention to the possible financial risks.

Objective:To explore the mechanism of anti anxiety (AD) effect of Shenqi Schisandra chinensis using network pharmacology and molecular docking technology.Methods:The main active ingredients of S-Q-W-W-Z (Shenqi Schisandra chinensis) were screened through the TCMSP database. The corresponding targets of the active ingredients were obtained through the TCMSP database and SymMap database. The drug active ingredient target relationship network was visualized using Cytoscape. Utilize TTD, OMIM, NCBI, Drugbank, and GeneCards databases to directly identify potential targets for anxiety. We constructed interaction diagrams of potential targets based on the String database, and used Cytoscape tool to obtain key target proteins. Gene ontology (GO) enrichment analysis and Tokyo Encyclopedia of Genomes (KEGG) signaling pathway analysis were used to identify key targets and signaling pathways for anti anxiety effects of Schisandra chinensis. AutodockTools software was used to perform molecular docking on key active ingredients and key target proteins, and their binding energies were calculated. The molecular docking results were visualized using PyMol software.Results:The 63 effective ingredients in Shen-Qi-Wu-Wei-Zi (Shenqi Schisandra chinensis) can act on anxiety disorder through 69 targets. Among them, quercetin, luteolin, and stigmasterol are the main active ingredients, and serine threonine protein kinase 1 (AKT1) protein and interleukin-6 (IL-6) protein are key target proteins. Molecular docking technology has verified the good binding ability between these key active ingredients and key target proteins. Shenqi Schisandra mainly exerted therapeutic effects on anxiety disorders by regulating Toll like receptor signaling pathways, tumor necrosis factor (TNF) signaling pathways, cancer pathways, and other pathways.Conclusions:The Shenqi Schisandra may exert anti anxiety effects by regulating related targets such as AKT1 and IL-6, regulating inflammatory reactions, cell apoptosis, and other processes.

Objective:To investigate the study on the diagnostic value of multimodal ultrasound technique for the lesion of extensor carpi ulnaris(ECU)tendon in patients with rheumatoid arthritis(RA).Methods:A total of 175 RA patients who were confirmed by the department of rheumatology of Yantaishan Hospital of Yantai city from December 2021 to January 2023 were selected,and them were included into the RA group.Other 50 patients without RA but with clinical symptoms of wrist were included into the non-RA group,and 50 healthy volunteers were included into the healthy control group.All subjects underwent routine ultrasound and shear wave elastography(SWE)examination on wrist,and then,the characteristics of ultrasound images of wrists and the blood flow distribution of ECU power Doppler ultrasonography(PDUS)were recorded.SWE was used to measure ECU to obtain elastic modulus index(EI)and velocity modulus index(VI).The differences between three groups were compared,and the receiver operating characteristic(ROC)value of RA patients were drawn,so as to confirm the area under curve(AUC)value and optimize cutoff value.Results:There were significant differences in EI and VI of the ECU tendon among three groups(F=61.15,61.28,P<0.05),respectively.The optimal cut-off values of EI and VI were respectively 319.35 kPa and 10.55 m/s in RA patients.In RA patients,age and disease course had significant influences on EI(r=0.19,0.21,P<0.05),and age,disease course,ultrasound score of wrist joint,and grade of power Doppler ultrasonography PDUS of the ECU tendon(ECUPDUS)had significant influences on VI(r=0.19,0.15,-0.16,-0.17,P<0.05).Conclusion:SWE is able to quantitatively and non-invasively assess the stiffness information of the ECU tendon in RA patients.After the supplement of gray-scale ultrasound and PDUS,multimodal ultrasound technique can clearly judge the correlation of the lesions of ECU tendon of RA patients.

ObjectiveTo observe and compare the electrocardiogram index， myocardial morphology， and connexin 43 （Cx43） expression of two rat models of acute cerebral infarction （ACI） due to stasis combined with toxin complicated with cerebral-cardiac syndrome （CCS）， and to provide experimental evidence for the research on the occurrence mechanism of cardiac diseases induced by ACI and the clinical diagnosis and treatment of CCS. MethodSixty SPF-grade male SD rats were randomized into six groups （n=10）： normal ， syndrome of stasis combined with toxin induced by carrageenin combined with dry yeast （CA/Y）， multi-infarct induced by micro-embolism （ME）， middle cerebral artery occlusion （MCAO）， CA/Y+ME， and CA/Y+MCAO groups. The model of syndrome of stasis combined with toxin was established by intraperitoneal injection with carrageenan （CA） at 10 mg·kg^-1 on the first day and subcutaneous injection with dry yeast （Y） suspension （2 mg·kg^-1） on the second day of modeling. Twenty-four hours after the modeling of ACI， the electrocardiograms （ECGs） of rats in each group were collected and the number/percentage （%） of abnormal ECG was calculated. The infarct area of the brain was evaluated by 2，3，5-triphenyltetrazolium chloride （TTC） staining， and myocardial injury was assessed by hematoxylin-eosin （HE） staining. Immumohistochemical staining and Western blot were employed to determine the expression of Cx43 in the myocardium. ResultA certain number of rats in each model group presented abnormal ECG. Compared with the normal group and CA/Y group， CA/Y+MCAO group had the highest rate of abnormal ECG （P<0.01）. Compared with the normal， CA/Y， ME， and CA/Y+ME groups， the CA/Y+ME and CA/Y+MCAO groups showed decreased amplitudes of P-wave and T-wave， shortened P-R interval， and extended Q-T interval， which were particularly obvious in the CA/Y+MCAO group （P<0.05， P<0.01） and in accordance with the cerebral infarction area and pathological changes. The expression of Cx43 was up-regulated in both CA/Y+ME and CA/Y+MCAO groups， especially in the CA/Y+MCAO group （P<0.01）. ConclusionThe two rat models of ACI due to stasis combined with toxin complicated with CCS can be used to study the mechanism of heart diseases caused by cerebrovascular diseases and the therapeutic effects of Chinese medicines with the functions of resolving stasis and detoxifying. Moreover， the CA/Y+MCAO method has higher abnormal electrocardiogram rate， severer myocardial pathological injury， and higher expression of Cx43 protein. The models can be chosen according to specific experimental purpose.