A novel pair of Z/E isomeric compounds with unprecedented carbon skeleton were isolated from an aqueous extract of Aspongopus chinensis Dallas by macroporous resin, silica gel, and semi-preparative high performance liquid chromatography (HPLC). Their structures were identified by nuclear magnetic resonance (NMR), Infrared spectroscopy (IR), Mass spectroscopy (MS) and other spectroscopic methods as (Z)-3-(but-1″-en-1″-yl)-1-(2ʹ-hydroxyethyl)-4-propylpyridin-1-ium, namely aspongopyridine A, and (E)-3-(but-1″-en-1″-yl)-1-(2ʹ-hydroxyethyl)-4-propylpyridin-1-ium, namely aspongopyridine B, respectively. Besides, the anti-inflammatory, anti-tumor, acetylcholinesterase inhibition and butyrylcholinesterase inhibition activities of the compounds 1 and 2 were evaluated. The results showed that compounds 1 and 2 have no anti-inflammatory, anti-tumor, and butyrylcholinesterase inhibition activities instead of weak acetylcholinesterase inhibition activity.

With the advent of big data era and improvement of computer performance, the artificial intelligence (AI) technology has rapidly boosted in the field of stomatology. Dental caries is one of the cutting-edge research domains in stomatology. The application of AI in dental caries is expected to promote intelligent, precise and high-efficient diagnosis and treatment of caries. This article focuses on the application of AI in medical-aided diagnosis, treatment and risk prediction of caries and discusses their challenges.

Objective This study aimed to comprehensively analyze and compare the clinicopathological features and prognosis of Chinese patients with human epidermal growth factor receptor 2(HER2)-low early breast cancer(BC)and HER2-IHC0 BC. Methods Patients diagnosed with HER2-negative BC(N=999)at our institution between January 2011 and December 2015 formed our study population.Clinicopathological characteristics,association between estrogen receptor(ER)expression and HER2-low,and evolution of HER2 immunohistochemical(IHC)score were assessed.Kaplan-Meier method and log-rank test were used to compare the long-term survival outcomes(5-year follow-up)between the HER2-IHC0 and HER2-low groups. Results HER2-low BC group tended to demonstrate high expression of ER and more progesterone receptor(PgR)positivity than HER2-IHC0 BC group(P<0.001).The rate of HER2-low status increased with increasing ER expression levels(Mantel-Haenszel χ2 test,P<0.001,Pearson's R=0.159,P<0.001).Survival analysis revealed a significantly longer overall survival(OS)in HER2-low BC group than in HER2-IHC0 group(P=0.007)in the whole cohort and the hormone receptor(HR)-negative group.There were no significant differences between the two groups in terms of disease-free survival(DFS).The discordance rate of HER2 IHC scores between primary and metastatic sites was 36.84%. Conclusion HER2-low BC may not be regarded as a unique BC group in this population-based study due to similar clinicopathological features and prognostic roles.

Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93％and a HCV positive rate of 0.54％.The positive rate of HCV in male and female patients were 0.60％and 0.48％,respectively,with a statistically sig-nificant difference(x2=47.18,P＜0.001).The HCV positive rate in the 50-＜60 age group was the highest(0.76％),followed by the 40-＜50 age group(0.71％).Difference among all age groups was statistically signifi-cant(x2=696.74,P＜0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57％;775 patients were infected with HCV,with a positive rate of 2.21％.In 2020,HCV positive rates in hospitals of different scales were 0.46％-0.63％,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P＜0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19％-0.81％,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06％-0.82％,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95％and 3.48％,respectively.Followed by departments of orthopedics(7.72％),gastroenterology(3.77％),nephrology(3.57％)and general intensive care unit(ICU,3.10％)in 2003,as well as departments of gastroenterology(1.35％),nephrology(1.18％),endocrinology(0.91％),and general intensive care unit(ICU,0.79％)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.

ObjectiveTo explain the pharmacodynamic substances of Aurantii Fructus flavonoids that exert anti-inflammatory and analgesic effects using a structure-activity omics approach. MethodOn the basis of the previous in vitro pharmacological screening conducted by the research team， an in vivo pharmacological study of Aurantii Fructus flavonoids was carried out. Core targets of the anti-inflammatory and analgesic active components of flavonoids of Aurantii Fructus were identified using various network databases， including the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， the Online Mendelian Inheritance in Man （OMIM）， and the Search Tool for the Retrieval of Interacting Genes/Proteins （STRING）. Computer-aided virtual screening technology was used to dock different types of Aurantii Fructus flavonoids with core targets. The key core targets with high binding activity were selected based on the comprehensive scores of each target and the active structures. Using these targets as bridges， the structures of one or more types of chemical components in Aurantii Fructus were closely linked to pharmacological effects. The structure-activity relationship between the clear pharmacodynamic compounds and their effects was explored through the binding patterns of various structures with pharmacodynamic targets. ResultAurantii Fructus flavonoids demonstrated significant anti-inflammatory and analgesic effects on dextran sulfate sodium （DSS）-induced colitis in mice， which could improve symptoms and significantly reduce the levels of inflammatory factors interleukin-6 （IL-6） and interleukin-1β （IL-1β）（P<0.05）. Twelve active components of Aurantii Fructus flavonoids were identified and categorized into nine dihydroflavonoids and three flavonoids based on their structures of the parent nuclei. Through Venn analysis， 167 anti-inflammatory and analgesic targets for Aurantii Fructus were identified. Based on degree value and molecular docking comprehensive scores， prostaglandin-endoperoxide synthase 2（PTGS2） and mitogen-activated protein kinase 3（MAPK3） were selected for further structural analysis. Structural analysis revealed that components containing glycoside structures exhibited higher binding activity with anti-inflammatory and analgesic targets. ConclusionThis study utilized a structure-activity omics approach based on in vivo pharmacodynamic experiments to analyze the material basis of the anti-inflammatory and analgesic effects of Aurantii Fructus flavonoids. The structure-activity omics approach provides new ideas and methods for elucidating the pharmacodynamic substances of Chinese medicine.

Objective To investigate the current situation and health effects of indoor microbial pollution in Xi'an, to analyze the purification effect of air purifiers on indoor microbial pollution, and to provide reference for improving the indoor environment. Methods Through stratified random sampling, 20 families from rural areas and 20 families from upwind and downwind urban areas respectively were selected from Xi'an. Data was collected by questionnaire surveys and on-site environmental sampling. Non-parametric analysis and correlation analysis were used for statistical analysis. Results Overall, the standard-exceeding rate of total count of bacteria was 5.00%. The medians of the total count of bacteria and fungi were 312.50 cfu/m3 and 260.00 cfu/m³, respectively. In terms of health effects, the correlation between rhinitis and cold with total bacterial count was statistically significant (P<0.05), with the correlation coefficients of 0.182 and 0.223, respectively. Purification effect of air purifiers on microbial pollution was statistically significant (P<0.05). After opening for 2 hours, the total numbers of bacteria and fungi decreased significantly. Conclusion The occurrence risk of colds and rhinitis is increased by indoor microbial pollution. Air purifiers have a certain effect on decreasing the total number of bacteria and fungi. It is recommended to use air purifiers with high CADR of particulate matter, double-layer filter and sterilization and dehumidification function, and replace the filters regularly to reduce indoor microbiological contamination.

Objective To investigate the correlation between serum Irisin,long pentraxin 3(PTX3),human metas-tasis-associated lung adenocarcinoma transcript 1(MALAT1)levels and the severity of diabetic retinopathy(DR)and the value of combined diagnosis.Methods Eighty-five patients with type 2 diabetes mellitus(T2DM)combined with DR at Cangzhou Central Hospital from April 2022 to April 2023 were selected as the DR group,85 patients with T2DM alone were selected as the non-DR group,and 85 healthy volunteers were selected as the control group during the same period.Pa-tients in the DR group were further divided into the proliferative DR(PDR)group(38 patients)and the non-PDR group(47 patients)based on whether DR was in the proliferative phase.Clinical data of patients in the DR group were collected,including gender,diastolic pressure,age,systolic pressure,disease course,fasting plasma glucose(FPG),body mass in-dex,hemoglobin A1c(HbA1c),smoking history,triglyceride(TG),drinking history,peak systolic velocity(PSV),peak end-diastolic velocity(PEDV),resistance index(RI),fasting insulin(FINS),family history of diabetes,total cholesterol(TC),and homa-insulin resistance(HOMA-IR).Enzyme-linked immunosorbent assay was used to detect serum levels of Irisin and PTX3 in each group of patients,and real-time quantitative polymerase chain reaction was used to detect the ser-um level of MALAT1.The correlations between serum levels of Irisin,PTX3 and MALAT1 and the severity of DR were ana-lyzed using the Pearson correlation coefficient.The influencing factors of the DR severity were identified using the Logistic regression.The value of serum Irisin,PTX3,and MALAT1 levels in diagnosing DR alone was analyzed using the receiver operating characteristic(ROC)curve.The value of regimens containing and not containing serum Irisin,PTX3,and MAL-AT1 levels in diagnosing DR was analyzed using the ROC curve,net reclassification index(NRI),and integrated discrimina-tion improvement(IDI)index.Results The serum levels of Irisin,PTX3,and MALAT1 were compared among the three groups of patients,and the differences were statistically significant(all P＜0.001).The disease course of patients in the PDR group was longer than that in the non-PDR group,the PSV,PEDV and serum Irisin level were lower than those in the non-PDR group,while the RI,FPG,HbA1c,TG,FINS,HOMA-IR,and serum PTX3 and MALAT1 levels were higher than those in the non-PDR group(all P＜0.05).The serum Irisin level in DR patients was negatively correlated with the severity of DR(r=-0.512,P＜0.001),while the PTX3 and MALAT1 levels were positively correlated with the severity of DR(r=0.497,0.573,both P＜0.05).The Logistic regression analysis showed that the disease course,FPG,HbA1c,TG,FINS,HOMA-IR,PSV,PEDV,RI,and serum levels of Irisin,PTX3 and MALAT1 were influencing factors for the DR progression(allP＜0.05).The area under the curve(AUC)of serum Irisin,PTX3,and MALAT1 levels in diagnosing DR was 0.743,0.811,and 0.773,respectively.Compared with conventional diagnostic protocols,the AUC of the new diagnostic protocol containing serum levels of Irisin,PTX3,and MALAT1 significantly increased(Z=2.708,P=0.007),and the NRI and IDI were 0.039(95％CI:0.022-0.069)and 0.026(95％CI:0.014-0.047),respectively(all P＜0.05).Conclusion The serum Irisin level in DR patients decreases,while the serum PTX3 and MALAT1 levels increase,which are closely related to the severity of DR.Diagnostic plans containing serum Irisin,PTX3,and MALAT1 indicators have high diagnostic value.

Objective To explore and analyse the signals of adverse events of esketamine,and to provide references for rational clinical use of the drug.Methods The adverse event reports of esketamine from the first quarter of 2019 to the fourth quarter of 2023 in the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database were collected.The reporting odds ratio(ROR)method and information component(IC)method in the disproportionality analysis and random forest(RF)algorithm,K-nearest neighbor algorithm and extreme gradient boosting(XGBoost)algorithm in machine learning algorithms were used for signal mining of target medicines respectively.The accuracy of machine learning signal detection results was assessed by the area under the curve(AUC).Results A total of 5 247 adverse event records with esketamine as the primary suspect drug were obtained.Using the traditional detection measures of dis-proportionality,138 positive signal results were detected,6 new adverse events including anticholinergic syndrome,urinary incontinence,double vision,pyelonephritis,spontaneous pneumothorax,biliary obstruction,were not included in the FDA drug inserts,and it was found that the drug may be more likely to cause cardiovascular problems.The results of the machine learning training showed that XGBoost algorithm and RF algorithm performed moderately well,with AUC means of 0.928 and 0.921,respectively.A total of 4 new potential adverse drug event signals,diplopia,deterioration of general physical health,suicidal ideation and withdrawal syndrome were detected by XGBoost algorithm and RF algorithm.Conclusion Esketamine is accompanied by some unknown risks while obtaining significant efficacy and adverse events not mentioned in the specification may occur in clinical practice.Healthcare professionals should be fully alert to the relevant adverse events when applying them in clinical treatment and take timely measures to ensure the safety of the treatment.

Antineoplastic drugs refer to the drugs that act at the cellular and molecular levels to inhibit tumor growth or eliminate tumors through pathways such as cell killing,immune regulation,and endocrine regulation.Antineoplastic drugs generally including chemotherapeutic drugs,molecular targeted therapeutic drugs,immunotherapeutic drugs,and endocrine therapeutic drugs.The management and rational application of antineoplastic drugs in medical institutions are related to the safety of patient treatment.The standard for management of antineoplastic drugs use in clinical is compiled by the Pharmaceutical Affairs Committee of China Hospital Association,which specification requirements 18 key elements in the organizational management and system,medication management,drug monitoring and evaluation of antineoplastic drug management in healthcare institutions.This standard is applicable to all levels and types of healthcare institutions carrying out oncology diagnosis and treatment.This paper describes the methodology and basic content of the standard,hoping to providing a reference for medical institutions to carry out relevant work.

The study focused on individuals with influenza-like symptoms (fever, cough, sore throat, runny nose, and other respiratory symptoms) in three kindergartens in Tongzhou District, Beijing City, in April 2023. Nasopharyngeal swab specimens were collected, and real-time fluorescent quantitative PCR was used to detect common respiratory pathogens in the collected specimens. Positive specimens were subjected to sequencing analysis of the highly variable region of human respiratory syncytial virus (HRSV) G protein, homology analysis and phylogenetic tree analysis. A total of 25 fever cases were collected from 3 kindergartens, aged 3-8 years old, with an age M ( Q1, Q3) of 4 (3.5, 5) years old. Ten confirmed cases of HRSV positive were screened and detected using the fluorescent quantitative PCR method, with a total detection rate of 40% (10/25). Typing identification and sequencing analysis confirmed that the main epidemic type was HRSV subtype B, which was highly homologous and closely related to previous epidemic strains in the region. Through pathogen investigation and analysis, it was preliminarily determined that this epidemic was dominated by HRSV subtype B.