ObjectiveTo clarify the anti-inflammatory and lung-protective effects of Yantiao prescription on lipopolysaccharide （LPS）-induced acute lung injury （ALI）， and to explore the impact of Yantiao prescription on the metabolic pathways of arachidonic acid （AA） in vivo. MethodsThirty male C57BL/6J mice were randomly divided into the following groups based on body weight： normal group， model group， dexamethasone group （2 mg·kg^-1）， low-dose Yantiao prescription group （18 g·kg^-1）， and high-dose Yantiao prescription group （36 g·kg^-1）， with 6 mice in each group. The ALI mouse model was established by intraperitoneal injection of LPS. The treatment groups received oral gavage once a day for 7 consecutive days， and serum and lung tissue were collected at the end of the experiment. The content of pro-inflammatory cytokines tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） in serum was detected by enzyme-linked immunosorbent assay （ELISA）. Hematoxylin-eosin （HE） staining was used to assess lung tissue pathology. The wet/dry weight ratio （W/D） and myeloperoxidase （MPO） activity in lung tissue were measured. The content of AA metabolites in serum and lung tissue was measured by liquid chromatography triple quadrupole-mass spectrometry （LC-MS/MS）. ResultsCompared with the conditions in the normal group， the content of serum pro-inflammatory cytokines TNF-α， IL-1β， and IL-6 in the model group was significantly increased （P<0.01）. The alveolar structure in mice was severely damaged， with markedly thickened alveolar walls and extensive inflammatory cell infiltration. The W/D ratio and MPO activity in lung tissue were significantly increased （P<0.01）. The content of AA metabolites， including prostaglandin D₂ （PGD₂）， prostaglandin E₂ （PGE₂）， 11（S）-hydroxy-eicosatetraenoic acid ［11（S）-HETE］， and 5-hydroxy-eicosatetraenoic acid （5-HETE） in serum and lung tissue was significantly increased （P<0.05）， while the content of 11，12-epoxyeicosatrienoic acid （11，12-EET） and 14，15-epoxyeicosatrienoic acid （14，15-EET） in serum was significantly decreased （P<0.01）. Compared with the results in the model group， the content of serum pro-inflammatory cytokines TNF-α， IL-1β， and IL-6 in the dexamethasone group， low-dose Yantiao prescription group， and high-dose Yantiao prescription group was significantly reduced （P<0.05）. Mild thickening of alveolar walls， scattered inflammatory cell infiltration， and relatively intact tissue structure with improved alveolar architecture were observed. The W/D ratio and MPO activity in lung tissue were significantly reduced （P<0.01）. The content of AA metabolites PGD₂， PGE₂， 11（S）-HETE， and 5-HETE in serum from the dexamethasone group was significantly decreased （P<0.05）， while the content of 14，15-EET in serum significantly increased （P<0.01）， and the content of 5-HETE in lung tissue significantly decreased （P<0.01）. In the low-dose and high-dose Yantiao prescription groups， the content of AA metabolites PGD₂， PGE₂， 11（S）-HETE， and 5-HETE in serum and lung tissue was significantly decreased （P<0.05）， while the content of 11，12-EET in both serum and lung tissue was significantly increased （P<0.05）. ConclusionYantiao prescription has significant protective effects against LPS-induced ALI， which are related to its regulation of AA metabolic pathways in vivo.

OBJECTIVE To evaluate the effectiveness and safety of warfarin anticoagulation therapy guided by gene test in patients undergoing left ventricular assist device （LVAD） implantation， and to analyze the influencing factors of warfarin anticoagulation efficacy. METHODS Patients who underwent LVAD implantation at the Heart and Vascular Center of Northern Jiangsu People’s Hospital from January 2023 to October 2024 and required warfarin anticoagulant therapy were selected as the study subjects. They were divided into genetic testing group （n＝51） and empirical treatment group （n＝17） based on whether they underwent CYP2C9 and VKORC1 gene test. The gene test group was given warfarin based on the predicted dose calculated by gene test， while the empirical treatment group was given warfarin by clinical doctors based on international normalized ratio （INR） experience， all patients were given warfarin once a day. Follow-up observation was conducted for 6 months to compare the effectiveness [time in therapeutic range（TTR）， the time required to reach INR for the first time， the incidence of embolic events， the incidence of INR＜1.5 events] and safety （the incidence of major and minor bleeding events，the incidence of INR＞3.5 events） of warfarin treatment between two groups of patients. According to whether the patient’s TTR was ≥60%， they were divided into TTR≥60% group （n＝20） and TTR＜60% group （n＝48）. Univariate and multivariate binary Logistic regression analysis were used to determine the factors affecting the anticoagulant effect of warfarin in patients. RESULTS The TTR of patients in the gene test group was significantly higher than that in the empirical treatment group （P＜0.05）. The incidence of INR＜1.5 events in the gene test group was significantly lower than in the empirical treatment group （P＜0.05）. The incidence of minor bleeding events and INR＞3.5 events in the gene test group were lower than in the empirical treatment group， but the difference was not statistically significant （P＞0.05）. The results of multivariate binary Logistic regression analysis showed that gene test was an independent protective factor for warfarin anticoagulant therapy [odds ratio （OR）＝10.842， 95% confidence interval （CI）： 1.211-27.037， P＝0.033]， and the combination of statins was an independent risk factor for warfarin anticoagulant therapy [OR＝0.196， 95%CI： 0.045-0.861， P＝0.031]. CONCLUSIONS Under the guidance of gene test， warfarin anticoagulation therapy for LVAD patients after implantation can improve TTR， shorten the anticoagulation target time， and has good safety； meanwhile， it should be noted that the combination of statins may enhance the anticoagulant effect of warfarin， thereby increasing the risk of bleeding in patients.

OBJECTIVE: Benzylisoquinoline alkaloids (BIAs) have pharmacological functions and clinical use. BIAs are mainly distributed in plant species across the order Ranunculales and the genus Phellodendron from Sapindales. The BIA biosynthesis has been intensively investigated in Ranunculales species. However, the accumulation mechanism of BIAs in Phellodendron is largely unknown. The aim of this study is to unravel the biosynthetic pathways of BIAs in Phellodendron amurens. METHODS: The transcriptome and metabolome data from 18 different tissues of P. amurense were meticulously sequenced and subsequently subjected to a thorough analysis. Weighted gene co-expression network analysis (WGCNA), a powerful systems biology approach that facilitates the construction and subsequent analysis of co-expression networks, was utilized to identify candidate genes involved in BIAs biosynthesis. Following this, recombinant plasmids containing candidate genes were expressed in Escherichia coli, a widely used prokaryotic expression system. The purpose of this genetic engineering endeavor was to express the candidate genes within the bacteria, thereby enabling the assessment of the resultant enzyme activity. RESULTS: The synonymous substitutions per synonymous site for paralogs indicated that at least one whole genome duplication event has occurred. The potential BIA biosynthetic pathway of P. amurense was proposed, and two PR10/Bet v1 members, 14 CYP450s, and 33 methyltransferases were selected as related to BIA biosynthesis. One PR10/Bet v1 was identified as norcoclaurine synthase, which could catalyze dopamine and 4-hydroxyphenylacetaldehyde into (S)-norcoclaurine. CONCLUSION Our studies provide important insights into the biosynthesis and evolution of BIAs in non-Ranunculales species.

Objective:To explore the causal association of glucose-lipid metabolism and obesity indicators with myocardial infarction by a two-sample Mendelian randomization analysis.Methods:Single nucleotide polymorphisms (SNPs) related to phenotypes were obtained from genome-wide association study databases. The body mass index (BMI) and glycated hemoglobin dataset includes 99 998 samples and 8 126 035 SNPs; the waist-to-hip ratio dataset includes 224 459 samples and 2 562 516 SNPs; the waist circumference and hip circumference dataset includes 462 166 samples and 9 851 867 SNPs; the fasting glucose dataset includes approximately 12 million SNPs; the low-density lipoprotein cholesterol (LDL-C) dataset includes 201 678 samples and 12 321 875 SNPs; the high-density lipoprotein cholesterol (HDL-C), and triglycerides dataset includes 156 109 samples and 15 784 414 SNPs; and the body fat percentage, whole-body fat mass, trunk fat percentage, and trunk fat mass dataset includes 454 588 samples and 9 851 867 SNPs. This study primarily used inverse-variance weighted method to analyze the associations between various exposure factors and outcomes. Heterogeneity among SNPs was assessed using Cochran′s Q test, and horizontal pleiotropy of SNPs was examined using the MR-Egger method. Additionally, a multivariable MR approach was used to adjust for BMI, further validating associations between exposure factors and the risk of myocardial infarction. Results:Higher BMI ( OR=1.070, 95% CI: 1.041-1.100), waist-to-hip ratio ( OR=1.366, 95% CI: 1.113-1.677), LDL-C ( OR=1.638, 95% CI: 1.488-1.803), triglycerides ( OR=1.445, 95% CI: 1.300-1.606), waist circumference ( OR=1.841, 95% CI: 1.650-2.055), hip circumference ( OR=1.247, 95% CI: 1.132-1.372), body fat percentage ( OR=1.795, 95% CI: 1.568-2.055), whole-body fat mass ( OR=1.519, 95% CI: 1.381-1.670), trunk fat percentage ( OR=1.538, 95% CI: 1.374-1.723), and trunk fat mass ( OR=1.421, 95% CI: 1.294-1.561), as well as lower HDL-C ( OR=0.799, 95% CI: 0.729-0.875), have causal effects on myocardial infarction (all P<0.05). After adjusting for BMI, hip circumference, trunk fat percentage, and trunk fat mass were no longer associated with myocardial infarction. However, waist-to-hip ratio ( OR=1.457, 95% CI: 1.132-1.877), fasting glucose ( OR=1.191, 95% CI: 1.024-1.383), glycated hemoglobin ( OR=1.129, 95% CI: 1.034-1.233), LDL-C ( OR=1.592, 95% CI: 1.314-1.929), triglycerides ( OR=1.410, 95% CI: 1.279-1.553), waist circumference ( OR=1.922, 95% CI: 1.448-2.551), body fat percentage ( OR=1.421, 95% CI: 1.072-1.884), and whole-body fat mass ( OR=1.295, 95% CI: 1.031-1.626) remained positively associated with myocardial infarction, while HDL-C ( OR=0.809, 95% CI: 0.729-0.897) remained negatively associated. Conclusions:Abdominal obesity and dysregulation of glucose-lipid metabolism are risk factors for myocardial infarction. Screening for glucose-lipid metabolism (fasting glucose, HDL-C, LDL-C, triglycerides) and obesity-related indicators (waist circumference, waist-to-hip ratio, body fat percentage, and whole-body fat mass) is of great importance for the primary prevention of myocardial infarction.

Objective:To investigate the current situation and influence factors of prehospital thrombolysis treatment for ST segment elevation myocardial infarction (STEMI) in China, to analyze the main factors affecting prehospital thrombolysis implementation, and optimize the pre-hospital thrombolysis strategy for STEMI to reduce mortality.Methods:A multicenter cross-sectional survey was conducted. 21 cities from six major geographical regions in China were selected by using convenient sampling method. An anonymous online electronic questionnaire was used to investigate the current situation and influence factors of prehospital emergency physicians and grassroots physicians implementing prehospital thrombolysis treatment for STEMI patients. Chi-square test was used to analyze the differences in count data between groups, and multivariate logistic regression was used to analyze the factors affecting prehospital thrombolysis in STEMI.Results:A total of 5 163 prehospital emergency physicians and physicians from grassroots township health centers/community health service centers or village clinics participated in this survey. Among them, 3208 (62.13%) have never implemtent thrombolysis, and 1 955 (37.87%) have did it before. The results of the multivariate logistic regression analysis indicated that physicians with 5-10 years of experience ( OR=1.41, 95% CI: 1.18-1.69, P<0.01), 11-20 years of experience ( OR=1.25, 95% CI: 1.03-1.52, P=0.02), those working in village clinics ( OR=1.30, 95% CI: 1.05-1.61, P=0.02), those in pre-hospital emergency medical institutions/departments ( OR=3.19, 95% CI: 2.80-3.64, P<0.01), those whose units are equipped with remote ECG transmission capabilities ( OR=1.72, 95% CI: 1.50-1.96, P<0.01), or ECG AI-assisted diagnostic tools ( OR=1.31, 95% CI: 1.15-1.49, P<0.01), and those who believe that thrombolysis is highly effective and should be widely adopted ( OR=2.55, 95% CI: 2.09-3.12, P<0.01) or consider it somewhat effective but warranting caution ( OR=2.11, 95% CI: 1.73-2.59, P<0.001), were more likely to make pre-hospital thrombolysis decisions for STEMI patients. To improve the current situation of pre-hospital thrombolysis for STEMI, the top four measures prioritized by pre-hospital emergency and grassroots physicians were enhancing the rescue capabilities of primary care doctors (92.22%), strengthening guidance from higherlevel hospitals (84.99%), increasing support for information technology (83.37%), and improving public health education (74.75%). Conclusions:The implementation rate of prehospital thrombolysis for STEMI in China still needs to be improved. Optimizing the prehospital thrombolysis strategy for STEMI, strengthening the allocation of basic medical resources and information technology support, and improving the referral mechanism are conducive to the implementation of prehospital thrombolysis for STEMI.

Objective To explore the establishment of a prognostic model based on machine learning algorithm to predict primary graft dysfunction(PGD)in patients with idiopathic pulmonary fibrosis(IPF)after lung transplantation.Methods Clinical data of 226 IPF patients who underwent lung transplantation were retrospectively analyzed.All patients were randomly divided into the training and test sets at a ratio of 7∶3.Using regularized logistic regression,random forest,support vector machine and artificial neural network,the prognostic model was established through variable screening,model establishment and model optimization.The performance of this prognostic model was assessed by the area under the receiver operating characteristic curve(AUC),positive predictive value,negative predictive value and accuracy.Results Sixteen key features were selected for model establishment.The AUC of the four prognostic models all exceeded 0.7.DeLong and McNemar tests found no significant difference in the performance among different models(both P＞0.05).Conclusions Based on four machine learning algorithms,the prognostic model for grade 3 PGD after lung transplantation is preliminarily established.The overall prediction performance of each model is similar,which may predict the risk of grade 3 PGD in IPF patients after lung transplantation.

BACKGROUND:In clinical application,the therapeutic effect of transcranial magnetic stimulation depends on the ability to accurately target the areas of the brain that need to be stimulated.In recent years,with the development of neuronavigation systems,mobile augmented reality technology,and the new methods of processing magnetic resonance imaging(MRI)data,the accuracy of stimulus target localization and the optimization of target selection are expected to improve further. OBJECTIVE:To review the principle of MRI-based image navigation and its application in transcranial magnetic stimulation and summarize the roles of different modal MRI data analyses in guiding the selection of target areas for transcranial magnetic stimulation. METHODS:An online computer search for relevant literature was performed in PubMed,CNKI database and WanFang database,with the keywords"transcranial magnetic stimulation,coil positioning,neuronavigation,augmented reality,magnetic resonance,theory."Finally,63 documents were included for review. RESULTS AND CONCLUSION:Among the traditional methods of positioning transcranial magnetic stimulation coils,the"5 cm rule"and the international electroencephalogram 10-20 positioning method are the most commonly used.These methods have the advantages of simplicity and economy,but they rely too much on the operator's experience and there were technical differences between operators.The neuronavigation system,which is based on stereotactic technology,is the guiding method for positioning transcranial magnetic stimulation coils with the highest visual degree and accuracy.It achieves visual positioning through MRI data acquisition,3D brain reconstruction,head model registration and stereogeometric positioning.It has high application value in clinical treatment and scientific research,but it cannot be promoted in medical institutions due to its high cost.For various medical institutions,mobile augmented reality is a cost-effective and efficient alternative to the neuronavigation system,which achieves visual positioning of brain tissue under the scalp through MRI data acquisition,2D/3D image construction,virtual image and real brain image superposition.It has the advantages of directly visualization and low cost,and is expected to be popularized and applied in primary medical units.Although the superiority of clinical efficacy of visual coil positioning over the electroencephalogram 10-20 localization strategy has not yet been fully demonstrated,with the progress of brain MRI data analysis,visual positioning is expected to further optimize the target selection strategy of transcranial magnetic stimulation therapy and to improve the response rate and individuation degree of transcranial magnetic stimulation treatment.This is a promising and challenging research direction in the future.

Objective To analyze the current status,hot spots and trends of Chinese and English researches in the field of aspiration after dysphasia in the past twenty years. Methods The articles about aspiration after dysphasia were retrieved from CNKI and Web of Science(WOS)core collec-tion database,from January,2003 to June,2023,and were analyzed with CiteSpace 6.1.R6. Results A total of 3 231 articles were included.The annual articles were published more and more year by year.The most English literatures came from the United States.Hot spots mainly focused on the assessment of dysphasia,prevention of complication,nutrition and rehabilitation therapy.It would concentrate on the application of the volume-viscosity swallow test and assessment scales,rehabilitation,penetration aspiration,outcome and effect validation,quality of life,feeding and nutrition condition,and evidence-based nursing,etc.,in the future. Conclusion The researches in the field of aspiration after dysphasia have been increasing in recent years,and the themes and contents of researches have been deepening.

Objective To investigate the popularization of cardiopulmonary resuscitation(CPR)knowledge and science popularization needs among urban and rural residents in Tonghai County,Yuxi City,Yunnan Province,so as to explore the establishment of an efficient and appropriate science popularization model.Methods A total of 300 residents aged 15-60 years old were selected from Tonghai County,Yuxi City,Yunnan Province using stratified and simple random sampling methods.A self-designed questionnaire was used to conduct an anonymous questionnaire survey.Results Only 20.3%of Tonghai County residents master CPR skills,and 26.2%of Tonghai County residents have never heard of CPR.There is a statistically significant difference in the awareness rate of CPR between rural residents and non-rural residents(P<0.01).There are differences in residents'age and CPR awareness(P<0.01),the age and CPR are inversely proportional.The residents have a higher willingness to perform chest compressions and mouth-to-mouth resuscitation on strangers,66.2%and 68.6%respectively.63.79%of residents have never attended relevant training.But 92.76%of the people said they were willing to participate in the relevant training when they learned the training news.Conclusion Residents in Tonghai County generally lack knowledge of CPR first aid,but the demand for first aid knowledge of residential CPR is high and the attitude towards rescue is positive.It is recommended that relevant departments increase CPR science popularization and training efforts,and popularize CPR into villages.

Objective: To investigate the incidence and influencing factors of falls among the elderly in Ningbo City, Zhejiang Province, so as to provide the basis for developing effective prevention strategies. Methods: The residents aged 60 years and above in Haishu District and Yuyao City of Ningbo City were selected by the multi-stage cluster random sampling method from June to October 2022. Demographic information, fall incidence in the past year, history of disease and self-rated health were collected through questionnaire surveys. Incidence of falls was descriptively analyzed, and factors affecting falls were identified using a multivariable logistic regression model stratified by gender and age. Results: A total of 1 275 elderly people were surveyed, including 635 men and 640 women. The median age was 72.00 (interquartile range, 13.00) years. In the past year, 158 residents fell, accounting for 12.39%. Additionally, 14 individuals experienced two or more falls, accounting for 8.86%. The incidence of falls was 14.69% in women, which was higher than the 10.08% in men (P<0.05). The incidence of falls was 14.86% in the elderly over 70 years, which was higher than the 9.39% in those aged 60 to 70 years (P<0.05). Multivariable logistic regression showed that the educational level (primary school and above, OR=0.501, 95%CI: 0.301-0.836), heart disease (present, OR=1.996, 95%CI: 1.076-3.703), and self-rated health status (good, OR=0.529, 95%CI: 0.319-0.875) were factors affecting falls in women; educational level (primary school and above, OR=0.514, 95%CI: 0.285-0.928) and self-rated health status (good, OR=0.456, 95%CI: 0.253-0.824) were factors affecting falls in residents aged 60 to 70 years. Conclusion Fall risk among the elderly is associated with gender, age, heart disease, educational level and self-rated health status, and the influencing factors for falls vary in different genders and ages.