ObjectiveTo investigate the relationship between the vasodilation and hydrogen sulfide （H₂S） mechanism of total flavonoids of chrysanthemum （TFCC） and the large conductance Ca²⁺- activated K⁺ （BK_Ca） channels on vascular smooth muscle cells （VSMCs） of the middle cerebral artery in rats. In addition， this study will also investigate the effect of TFCC on the expression of BK_Ca channel alpha protein in rat middle cerebral artery VSMCs. MethodsThe primary method employed was acute digestion to isolate VSMCs from the middle cerebral artery of rats； whole-cell patch-clamp techniques were used to measure BK_Ca channel currents； primary tissue adherence culture was utilized to cultivate VSMCs from the middle cerebral artery of rats； Western blot were employed to determine protein expression levels. ResultsIn whole-cell patch-clamp experiments， both the H₂S donor NaHS （100 μmol/L） and endogenous H₂S enhanced BK_Ca channel currents. TFCC （30， 90， and 270 mg/L） also activatedBK_Ca channels and exhibited a certain concentration-dependent effect. Even after blocking endogenous H₂S production， TFCC （270 mg/L） still activated BK_Ca channels in VSMCs of the middle cerebral artery in rats. In Western blot experiments， the α-subunit of BK_Ca channel proteins was expressed in all groups of cells， but TFCC （30， 90， and 270 mg/L） and inhibitor IBTX group did not affect the expression of channel protein content.Conclusion TFCC can promote the opening of BK_Ca channels by promoting the generation of endogenous H₂S， or directly activate BK_Ca channels， thereby playing a role in relaxing cerebral blood vessels. However， TFCC had no significant effect on the expression of BK_Ca channel proteins.

Background: Malignant vasovagal syncope (VVS) is characterized by cardiac arrest lasting more than 3 seconds during a syncope episode or head-up tilt test (HUTT). We aim to conduct a risk assessment for potential malignant VVS before the HUTT by using economic, simple and convenient demographic data, in order to prevent adverse outcomes for pediatric VVS.Purpose: To explore the correlation between demographic factors and pediatric malignant VVS, and verify the value of these factors in early risk assessment for malignant VVS before HUTT, so as to optimize test safety and reduce adverse events. Methods: We conducted a retrospective analysis of the clinical data of 3,734 children who were initially diagnosed with VVS due to unexplained syncope and presyncope. Finally, 122 children who met the diagnostic criteria for malignant VVS were included in the malignant VVS group, and 661 children who did not meet the criteria during the same period were matched as the control group. By analyzing demographic data and other factors, we attempted to clarify the association between these factors and malignant VVS. Results: Linear relationship: age and body mass index (BMI) have independent protective effects on malignant VVS. For every 1-year increase in age and every 1 kg/m2 increase in BMI, the risk of malignant VVS decreases by 12% and 9%, respectively. Nonlinear relationship: When the age is <12.9 years old, for every additional year of age, the risk of malignant VVS decreases by 20%. For ages 12.9 years and above, the efficacy is not significant. There is no significant nonlinear relationship between BMI and malignant VVS. Conclusion Age and BMI are independent protective factors for pediatric malignant VVS. Before the age of 12.9 years, the incidence of malignant VVS gradually decreases with the increase in age, and thereafter there is no significant impact.

BackgroundThe mental health issues of medical staff have received increasing attention. Previous studies have mainly focused on the epidemiological characteristics and influencing factors， but there is a lack of sufficient understanding of the heterogeneity characteristics of the depression-anxiety symptoms network among medical staff. ObjectiveTo compare the differences in the depression-anxiety symptoms network between medical staff and community residents， so as to provide references for the promotion of the mental health of medical staff. MethodsFrom June 1， 2022 to December 31， 2024， a stratified random sampling method was used to recruit 1 959 medical staff from public hospitals and community health centers in 9 townships （industrial parks） of Dongguan City， Guangdong Province， as well as 2 412 community residents in this area， were selected as the research subjects. The general situation questionnaire， Patients' Health Questionnaire Depression Scale-9 item （PHQ-9）， and the Generalized Anxiety Disorder Scale-7 item （GAD-7） were used for investigation. The network visualization was conducted using the qgraph package of R 4.0.0. The centrality indicators of the network were calculated using the networktools package. The reliability of the network structure was evaluated using the bootnet package. The differences in the depression-anxiety symptoms network between medical staff and community residents were compared using the NetworkComparisionTest package. ResultsA total of 1 792 medical staff and 2 110 community residents completed the survey. The numbers of medical staff with mild， moderate and severe depressive symptoms were 381 （21.26%）， 217 （12.11%） and 169 （9.43%）， respectively， while the numbers of community residents were 322 （15.26%）， 98 （4.64%） and 66 （3.13%）， respectively. The numbers of medical staff with mild， moderate and severe anxiety symptoms were 411 （22.94%）， 126 （7.03%） and 93 （5.19%）， respectively， while the numbers of community residents were 320 （15.17%）， 73 （3.46%） and 18 （0.85%）， respectively. The comparison of the detection rates of depressive symptoms and anxiety symptoms between the two groups showed statistically significant differences （χ²=152.012， 205.953， P<0.01）. The network analysis results showed that the core symptom clusters of medical staff were "uncontrollable worry" "psychomotor retardation" "inability to relax"， and "depression"， while those of community residents were "uncontrollable worry" "inability to relax" "inferiority complex"， and "depression". There was a statistically significant difference in the network structure between the two groups （M=0.275， P<0.05）， and the overall connection strength of medical staff was lower than that of community residents （7.523 vs. 7.950， S=0.426， P<0.05）. ConclusionThe detection rates of depression and anxiety symptoms among medical staff were higher than those among community residents. The depression-anxiety symptoms network of medical staff was more concentrated， and the core symptoms were more prominent.［Funded by Social Development and Technology Project of Dongguan City （number， 20221800902552）］

Objective　To investigate the level of pertussis antibody in 344 healthy population in Hebei Province in 2023, and to understand the infection status and estimate the potential infection of pertussis. Methods　A total of 344 healthy people of all ages from 7 cities (counties) in Hebei Province in 2023 were stratified by random sampling method. The demographic characteristics, vaccination history and pertussis history of the subjects were collected. Serum IgG antibody against pertussis toxin (PT-IgG) were determined by enzyme-linked immunosorbent assay (ELISA). Results　The geometric mean concentration (GMC) of PT-IgG in 344 healthy people was 5.28 IU/mL, and the antibody positive rate (PT-IgG concentration ≥ 40 IU/mL) was 6.10% (21/344). There was no significant difference in proportion of antibody levels and antibody concentration ≥40 IU/mL between males and females. The top three regions with the highest antibody positive rate were Xinhe County in Xingtai (20.00%), Lianchi District in Baoding (11.43%), and Shijiazhuang (9.37%). There was a significant difference in pertussis antibody levels among different regions (P=0.007), but no significant difference in pertussis antibody concentration ≥40 IU/mL among different regions (P=0.100). The GMC of antibody was the highest in the 1~<3 years old group (11.45 IU/mL), followed by the <1 year old group (8.15 IU/mL). There was a significant difference in the pertussis antibody levels among different age groups (P=0.001). The proportion of antibody concentration ≥40 IU/mL was the highest in the 1~<3 years old group (20.83%), followed by the <1 year old group (12.77%). There was a significant difference in the proportion of antibody concentration ≥40 IU/mL among different age groups (P=0.028). And 303 (88.08%) cases of the 344 healthy people had a history of DTaP , 4.62%, 46.86% and 48.52% of healthy people had completed 1-2 , 3 and 4 doses of DTaP, respectively. Among the healthy people who had completed 1-2 doses of DTaP, there was no significant difference in the level of pertussis antibody among different age groups (P=0.47). Among the healthy people who had completed 3 doses of basic immunization and 4 doses of complete immunization, there was a significant difference in the level of pertussis antibody among different age groups (P=0.04, P=0.01). There was no significant difference in the proportion of PT-IgG concentration ≥40 IU/mL among different age groups and different immunization doses (P=0.72). Conclusion　The overall antibody level and proportion of PT-IgG concentration ≥40 IU/mL in the healthy population of Hebei Province in 2023 were both low, indicating the inadequacy of the protective effect of the current immunization program for children, although vaccinated people could still infect with pertussis disease, we need to further monitoring and optimization of immune strategies indicating.

Objective To establish a ultrahigh-performance liquid chromatography-orbitrap high-resolution mass spectrometry(UHPLC-Orbitrap HRMS)method for the determination of the genotoxic impurity N-nitroso propranolol(NPPN)in propranolol hydrochloride sustained-release tablets.Methods The test sample was ultrasonically extracted using methanol as the solvent,then centrifuged and filtered before injection analysis.Chromatographic separation was performed using a 2.7 μm particle size C18 UHPLC column with a mobile phase of 0.1％formic acid(A)in water and 0.1％formic acid(B)in acetonitrile,using gradient elution.Mass spectrometry was conducted with an HESI ion source in positive ion parallel reaction monitoring(PRM)scan mode,monitoring the NPPN fragment ion at m/z 72.080 8,and quantification was performed using the standard curve method.Results The calibration curve was in good linearity in the range of 0.51-20.30 ng·mL-1 with excellent correlation coefficient(r)of 0.9999.The recoveries of NPPN at three levels(low,medium,and high)were in the range of 95.4％～98.3％,while the RSDs were from 2.5％to 4.2％.The limit of detection(LOD)was 0.20 ng·mL-1 while the limit of quantitfication(LOQ)was 0.51 ng·mL-1.This analytical method was used to determine NPPN in six batches of propranolol hydrochloride sustained release tablet samples.NPPN was detected in all six samples,among which the detection amount of 3 batches have exceeded the acceptable limit.Conclusion This method is sensitive,accurate,and fast,making it useful for pharmaceutical companies in controlling production processes and providing robust technical support for regulatory authorities.

Ischemic stroke (IS) is a globally life-threatening disease. Presently, few therapeutic medicines are available for treating IS, and rt-PA is the only drug approved by the US Food and Drug Administration (FDA) in the US. In fact, many agents showing excellent neuroprotection but no blood flow-improving activity in animals have not achieved ideal clinical efficacy, while thrombolytic drugs only improving blood flow without neuroprotection have limited their wider application. To address these challenges and meet the huge unmet clinical need, we have designed and identified a novel compound AAPB with dual effects of neuroprotection and cerebral blood flow improvement. AAPB significantly reduced cerebral infarction and neural function deficit in tMCAO rats, pMCAO rats, and IS rhesus monkeys, as well as displayed exceptional safety profiles and excellent pharmacokinetic properties in rats and dogs. AAPB has now entered phase I of clinical trials fighting IS in China.

Objective To investigate the clinical and diffusion imaging of brain damage in patients with neurosyphilis.Methods Eighty patients with neurosyphilis with brain damage were retrospectively selected as the study group,and were divided into mild group(n=38)and moderate to severe group(n=42)according to imaging results.Another 80 healthy subjects in the same period were selected as the control group.The values of apparent diffusion coefficient(ADC)and fractional anisotropy(FA)were compared among the three groups.Pearson test was used to analyze the correlation between ADC and FA values in various brain regions and cognitive function in patients with neurosyphilis brain damage.Results ADC values in parieto-occipital lobe,frontal lobe,basal gan-glia and hemioval center in moderate to severe group were significantly higher than those in mild group and control group,and FA values were significantly lower than those in mild group and control group(P<0.05).The results of Pearson analysis showed that the ADC and FA values of parieto-occipital lobe,frontal lobe and hemioval center were significantly correlated with Wechsler adult intel-ligence scale-revised of China(WAIS-RC)knowledge,WAIS-RC arithmetic,verbal fluency test(VFT),Montreal cognitive assess-ment(MoCA),forward digit span test(FDST),trail making test A(TMT-A)and trail making test B(TMT-B)scores(P<0.05).Conclusion The ADC and FA values of parieto-occipital lobe,frontal lobe,basal ganglia and hemioval center are closely related to the severity of brain damage,which is helpful for clinical diagnosis.

Chimeric antigen receptor (CAR) T-cell therapy has achieved breakthroughs in treating relapsed/refractory B-cell malignancies. However, it still faces challenges, including complex manufacturing processes, limited indications, T-cell exhaustion, and insufficient durability of therapeutic efficacy. CRISPR/Cas9, a highly efficient and relatively simple gene-editing technology, offers new avenues for overcoming these limitations. This review briefly outlines the working mechanism of CRISPR/Cas9 and focuses on its recent applications and clinical practices in developing universal CAR T-cells, enhancing T-cell function, and extending CAR T-cell therapy to T-cell and myeloid leukemias. Furthermore, this review highlights optimization strategies developed over the past two years to enhance the editing precision, delivery efficiency, and safety of the CRISPR/Cas9 system, aiming to provide insights for the optimal design and clinical application of CAR T-cell therapy.

Objective To investigate the oral health status of second-grade primary school students in Suzhou,provide baseline data for evaluating Suzhou's"Bright Eyes and Healthy Teeth"public health project,and offer reference for formulating oral health policies for students in Suzhou.Methods A multi-stage,stratified,random sampling method was used to select 1 640 second-grade primary school students from 10 districts(county-level cities)across Suzhou.The oral health survey of primary school students in Suzhou was designedbased on WHO"Basic Methods for Oral Health Surveys"(5th edition).A survey on the students' oral health status was con-ducted.Results The caries prevalence,mean DMFT(Decayed,Missing,Filled Teeth),and caries filling rate for primary teeth among second-grade students in Suzhou were 80.73％,4.25,and 24.48％,respectively.For permanent teeth,the caries prevalence,mean DMFT(Decayed,Missing,Filled Teeth),and caries filling rate were 30.30％,0.62,and 16.96％,respectively.Specifically,the caries prevalence,mean DMFT,and filling rate for the first permanent molar were 29.88％,0.59,and 16.94％,respectively.The pit and fissure sealing rate for the first permanent molar was 13.74％.Additionally,the detection rate for gingival bleeding was 58.05％,and for dental calculus,49.15％.Conclusion The oral health status of second-grade primary school students in Suzhou is concerning.The caries prevalence rate for both primary and permanent teeth is high,while the filling rate is relatively low.Prior to the implementation of oral health programs,the pit and fissure sealing rate for the first permanent molars was low,with significant differ-ences observed between urban and rural areas,as well as among different districts(or county-level cities).

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.