ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

This article reviews relevant literature on the prevention and treatment of cancer with hesperidin published in the past 10 years by searching electronic databases such as China National Knowledge Infrastructure（CNKI）， Wanfang， and PubMed， and summarizes the research progress on the anticancer mechanism of hesperidin. Hesperidin has a wide range of pharmacological effects， including anti-inflammatory， antioxidant， antibacterial， antiviral， anticancer， immune-regulatory， anti-radiation， neuroprotective and cardiovascular protective properties and so on. Its anticancer mechanisms mainly include inhibiting cancer cell proliferation， promoting apoptosis， reducing angiogenesis， inhibiting invasion and migration of cancer cells， regulating immunity and autophagy， and exerting antioxidant and anti-inflammatory effects. As a broad-spectrum anticancer drug， hesperidin manifests chemo-preventive and therapeutic effects across various cancers， contingent upon its multifaceted anticancer mechanisms. Furthermore， this article summarizes the synergistic effects of hesperidin in combination with cisplatin， doxorubicin， cyclophosphamide and paclitaxel. It elucidates that hesperidin can enhance the cytotoxicity of these anticancer drugs against cancer cells while mitigating drug resistance and adverse side effects. Nonetheless， the clinical use is somewhat constrained due to its poor water solubility and limited bioavailability. Therefore， this article also outlines the current strategies for enhancing hesperidin's bioavailability， including structural modification， combination with other chemical substances， and utilization of nano drug carriers.The discovery of derivatives of hesperidin not only preserves the anticancer efficacy of hesperidin, but also effectively overcomes the shortcomings of poor water solubility and low bioavailability of hesperidin, effectively predicting the good application prospects of hesperidin and its derivatives.

Objective:To evaluate the effect of the implementation of Beijing Smoking Control Regulation in 2015 on the smoking prevalence in people aged ≥15 years in Beijing during 2014-2021, and explore factors associated with tobacco use behavior in local population. Methods Using a pooled cross-sectional design, data from Beijing Adult Tobacco Survey in 2014, 2016, 2019 and 2021 (4 surveys) were combined into one dataset. The 4 surveys used same multistage cluster sampling procedure. After complex survey weighting, multiple logistic regression models were constructed to analyze factors influencing smoking status. Results:A total of 8 484, 9 372, 8 534 and 10 551 respondents were included in the surveys in 2014, 2016, 2019 and 2021, respectively. The smoking prevalence rate was 23.4%, 22.3%, 20.3% and 19.9%, respectively, in Beijing residents aged ≥15 years, exhibiting a linear declining trend ( P=0.010). Factors associated with current smoking in men were age 25-44 years ( OR=2.22, 95% CI: 1.68-2.95) and 45-64 years, ( OR=2.64, 95% CI: 2.06-3.39), educational level of high school ( OR=0.69, 95% CI: 0.49-0.95) and undergraduate and above ( OR=0.46, 95% CI: 0.33-0.63), and awareness of smoking causing stroke ( OR=0.71, 95% CI: 0.61-0.81), and awareness of smoking causing lung cancer ( OR=0.53, 95% CI: 0.42-0.66), the differences were significant (all P<0.05). After controlling interfering factors, the current smoking prevalence in men in 2019 ( OR=0.73, 95% CI: 0.63-0.87, P<0.001) and 2021 ( OR=0.72, 95% CI: 0.61-0.88, P<0.001) were significantly lower than that in 2014. Factors associated with current smoking in women were living alone ( OR=1.80, 95% CI: 1.33-2.44), educational level of undergraduate and above ( OR=0.43, 95% CI: 0.27-0.69), other occupations except doctor and teacher ( OR=8.54, 95% CI: 2.80-26.02) or being retired/unemployed ( OR=9.39, 95% CI: 3.19-27.65), and awareness of smoking causing cardiovascular events ( OR=0.58, 95% CI: 0.39-0.84), and awareness of smoking causing lung cancer ( OR=0.54, 95% CI: 0.35-0.83), the differences were significant (all P<0.05). No significant change in smoking status in women was found in 4 surveys. Conclusions:The smoking prevalence rate in men in Beijing has declined since the implementation of Beijing Smoking Control Regulation 5 years, indicating the effectiveness of legislative approach in tobacco control. Socio-demographic factors and the awareness level of tobacco harm could influence smoking status. Future tobacco control programs should target the people with lower education level, young men, women living alone, and those with occupations other than teachers/doctors or the unemployed/retired and include more comprehensive health education.

Objective: To analyze the second hand smoke exposure and related factors of nonsmoking junior middle school students in Beijing, so as to provide a data support for formulating tobacco control measures. Methods: The multistage cluster random sampling method was used to select junior middle school students in Beijing. The valid data of 4 494, 4 915 and 3 792 nonsmoking middle school students were obtained from three waves of youth tobacco epidemic surveillance in 2013 (September to October), 2019 (August to November) and 2021 (September to December) wave, respectively. The information was collected by the national youth tobacco epidemic surveillance questionnaire. The complex sampling data analysis module of SPSS 21.0 was used to descriptive analysis and multivariate Logistic regression. Results: The proportions of secondhand smoke exposure of nonsmoking junior middle school students in the four types of places in the past 7 days in 2013, 2019 and 2021 in Beijing were 76.4%, 71.4% and 65.7%, respectively, with statistically significant differences (χ2=126.10, P<0.01). The proportions of that found someone smoking in the campus in the three waves of survey were 34.7%, 27.9% and 21.1% (χ2=209.78), the proportion of that found teachers smoking daily were 2.7%, 1.8% and 1.3% (χ2=22.14) (P<0.01), respectively. Multivariate Logistic regression analysis showed both parents smoking (OR=8.47, 95%CI=4.36-16.48), father smoking (OR=3.51, 95%CI=2.75-4.49), and friends smoking (OR=1.88, 95%CI=1.39-2.55) were the influencing factors of secondhand smoke exposure in four types of places of nonsmoking junior middle school students in 2013. Both parents smoking (OR=2.37, 95%CI=1.33-4.22), father smoking (OR=2.80, 95%CI=2.33-3.37), friends smoking (OR=2.24, 95%CI=1.71-2.92), and teaching the tobacco hazards in class (OR=0.77, 95%CI=0.64-0.93) were the influencing factors of secondhand smoke exposure in four types of places for nonsmoking middle school students in 2019. Both parents smoking (OR=3.93, 95%CI=2.29-6.75), fathers smoking (OR=3.30, 95%CI=2.72-3.99), and teaching the tobacco hazards in the class (OR=0.81, 95%CI=0.68-0.97) were the influential factor of secondhand smoke exposure in four types of places of nonsmoking junior middle school students in 2021 (P<0.05). Conclusions The secondhand smoke exposure of nonsmoking middle school students in Beijing has improved, but still is a high level. It is necessary to take corresponding measures to effectively protect nonsmoking junior middle school students from the harm of secondhand smoke.

Objective To study the mechanism of Jiawei Chengqi decoction combined with enteral nutrition emulsion in the treatment of stroke patients by regulating brain-derived neurotrophic factor/tropomyosin kinase receptor B(BDNF/TrkB)signaling pathway.Methods A total of 200 stroke patients treated in the intensive care unit(ICU)of Xingtai Third Hospital from January 2020 to October 2022 were selected as the study objects,and the patients were randomly divided into observation group and control group,with 100 cases in each group.The control group was treated with enteral nutrition emulsion,and the observation group was treated with Jiawei Chengqi decoction on this basis[drug composition:Raw Rhubarb 10 g(bottom),Raw Malt 30 g,Sodium Powder 6 g(flush),Substitute Ochre 30 g(first),Magnolia Officinalis 10 g,Stir-fried Raphanus Japonicus 15 g,Stir-fried Fructus Aurifolius 15 g,Spiral Flower 10 g(pan-fried),whole Trichosanthes 30 g.100-200 mL of juice in water was consumed in 2 separate doses,once daily].The clinical efficacy,nutritional indexes[total protein(TP),hemoglobin(Hb),prealbumin(PA),albumin(ALB)],intestinal mucosal barrier indexes[diamine oxidase(DAO),procalcitonin(PCT),D-lactic acid],traditional Chinese medicine(TCM)syndrome score,TrkB,BDNF,and calcitonin gene-related peptide(CGRP)level differences were compared between the two groups after treatment.Results The total clinical effective rate of the observation group was significantly higher than that of the control group[92.00%(92/100)vs.81.00%(81/100),P<0.05].The levels of nutritional indexes TP,Hb,ALB,intestinal mucosal barrier,TCM syndrome score,TrkB,BDNF and CGRP in the two groups after treatment were significantly lower than those before treatment,and the nutritional indexes TP,Hb and PA in the observation group were significantly higher than those in the control group after treatment[TP(g/L):68.09±10.28 vs.64.53±9.81,Hb(g/L):133.48±33.38 vs.121.38±30.72,PA(mg/L):231.29±22.75 vs.219.73±20.48,all P<0.05],the levels of nutrition index ALB,mucosal barrier index,TCM syndrome score,TrkB,BDNF and CGRP were significantly lower than those of control group[ALB(g/L):36.78±5.32 vs.39.49±5.48,DAO(kU/L):3.19±0.53 vs.3.91±0.59,PCT(μg/L):5.05±0.68 vs.6.14±0.89,D-lactic acid(mmol/L):0.14±0.03 vs.0.22±0.03,abdominal pain and diarrhea scores:1.34±0.62 vs.2.45±0.73,abdominal cold pain scores:1.63±0.63 vs.2.38±1.03,waist and knee tenderness scores 0.96±0.41 vs.1.75±0.52,diet scores:1.14±0.41 vs.1.58±0.69,cold body cold integral scores:0.97±0.42 vs.1.68±0.54,TrkB(ng/L):285.02±28.15 vs.375.84±36.12,BDNF(ng/L):1 306.84±244.83 vs.1 718.84±378.83,CGRP(ng/L):79.68±9.56 vs.87.27±11.01,all P<0.05].Conclusion Using Jiawei Chengqi decoction in conjunction with enteral nutrition emulsion for treating stroke patients in the ICU can significantly improve the intestinal mucosal indexes and nutritional indexes of patients,making it a promoting approach in clinical practice.

Objective To investigate the relationship between the vaginal microecology and CC chemokine ligand 28(CCL28)expression levels in the vaginal lavage fluid of patients with persistent high-risk human papillomavirus(HR-HPV)infection.Methods A total of 132 patients with HR-HPV infection at Tangshan Maternal and Child Health Hospital from April 2021 to April 2023 were selected as study subjects.Patients with HR-HPV infection were categorized into the single infection group and the persistent infection group according to the review results.The CCL28 and vaginal microecological indicators of the two groups were compared.Logistic regression was used to analyze the risk factors for persistent HR-HPV infection.The dose-response relationship between CCL28 and persistent HR-HPV infection was analyzed by fitting restricted cubic splines with logistic regression.Spearman and multiple linear regression were used to analyze the relationship between CCL28 and vaginal microecological indicators.Results After the re-examination of patients,there were 84(63.64％)cases of single infection and 48(36.36％)cases of persistent infection.The percentage of colony density grade Ⅰ(54.17％vs 16.67％),colony diversity grade Ⅰ(47.92％),pH＞4.5(47.92％),hydrogen peroxide positivity(54.17％),and vaginal microecological imbalance(66.67％),and the level of CCL28[83.63(77.11,99.62)ng/L]in the persistent infection group were higher than those of the single infection group[16.76％,21.43％,15.48％,30.95％,41.67％,71.11(58.12,82.16)ng/L],and the differences were statistically significant(x2/Z=5.064～20.338,all P＜0.05).Logistic regression analysis showed that colony density grade Ⅰ(OR=3.556,95％CI:1.241～10.194,P=0.018),PH＞4.5(OR=4.366,95％CI:1.164～16.380,P=0.029),and high CCL28 levels(OR=1.048,95％CI:1.018～1.080,P=0.002)were independent risk factors for persistent infection in HR-HPV-infected patients.Logistic regression fitting restricted cubic splines showed a linear relationship between CCL28 and persistent HR-HPV infection(nonlinear test x2=0.61,P=0.437).Spearman correlation analysis results showed that CCL28 was positively correlated with age(r=0.205,P=0.018),colony density(r=0.429,P＜0.001),colony diversity(r=0.389,P＜0.001),pH(r=0.357,P＜0.00l),hydrogen peroxide(r=0.409,P＜0.001),leukocyte esterase(r=0.392,P＜0.00l),and vaginal microecology(r=0.473,P＜0.001).Linear regression analysis showed that colony density(β=12.295,P=0.003)and colony diversity(β=9.196,P=0.032)were independently associated with CCL28.Conclusion Colony density and colony diversity were independently correlated with CCL28.Colony density grade Ⅰ,pH＞4.5,and high CCL28 levels suggest an increased risk of persistent infection in patients with HR-HPV infection.

Objective To investigate the expression of differential genes in testicular tissue of patients with obstructive and non-ob-structive azoospermia by bioinformatics,and provide new markers for the diagnosis of non-obstructive azoospermia(NOA).Methods The microarray data of azoospermia related genes(GSE45885 and GSE9210)were downloaded from the gene expression comprehensive database(GEO)and analyzed online by GEO2R,and the NOA related differentially expressed genes(DEGs)were obtained.The common DEGs were determined by using Wayne's intersection.GO annotation and KEGG enrichment analysis of DEGs were carried out by using R software.The DEGs-related protein interaction network(PPI)was constructed with STRING.Then,the most significant Hub gene of NOA was screened out by Cytoscape software and visualization was performed.The diagnostic value of Hub gene for NOA was estimated by the receiver operating characteristics(ROC)curve and verified in GSE145467 data set.Results A total of 83 DEGs were obtained,of which 78 were down-regulated and 5 were up-regulated.GO enrichment analysis showed that DEGs was involved in biological processes(BP),including the development and differentiation of sperm cells,development of germ cells,assembly of motor cilia,etc.Cell composition(CC)mainly included sperm flagella,motor cilia,acrosome vesicles,spermatogenic nuclei,etc.Molecular function(MF)mainly included structural components,protein binding,heat shock protein binding and so on,which endowed com-pressive strength for extracellular matrix.KEGG-related pathways were involved in longevity regulation pathways,cell cycle and apopto-sis,and meiosis of oocytes in multiple species.The five Hub genes closely related to NOA,including SPAG5,CCNB2,AURKC,NCAPH and PTTG1,were screened by PPI network.The ROC curve showed that all the five Hub genes were potential genetic markers of NOA.Conclusion SPAG5,CCNB2,AURKC,NCAPH and PTTG1 genes may play the key role in the development of NOA and may be used as the new biomarkers for NOA.

Objective:To investigate the epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients with maintenance hemodialysis (MHD) in Jiangsu province during SARS-CoV-2 pandemic in China from December 7, 2022 to January 27, 2023, and to analyze the influencing factors of all-cause death.Methods:It was a multi-center cross-sectional investigation. Structured questionnaire was used to collect patient information by medical staff of each hemodialysis center (room) as investigators. Part of the demography data and laboratory examination data came from the Jiangsu Province Hemodialysis Data Information System. MHD patients from hemodialysis centers (rooms) at all levels of medical institutions and independent hemodialysis institutions in Jiangsu province during the outbreak of SARS-CoV-2 infection were included, and the clinical characteristics and all-cause mortality of confirmed and suspected cases of SARS-CoV-2 infection were analyzed.Results:Questionnaire surveys and data analysis on 57 278 patients in 407 hemodialysis centers (rooms) were completed, accounting for 90.41% of the total number of MHD patients (63 357 cases) in Jiangsu province during the same period. There were 24 038 cases (41.97%) of SARS-CoV-2 infection and 14 805 cases (25.85%) of suspected infection, which were widely distributed in all dialysis centers in Jiangsu province. After clinical classification of 38 843 confirmed and suspected SARS-CoV-2 infection cases, 3 662 cases were severe and critical cases, accounting for 9.43% of the infected and suspected cases. Among the patients who had completed the questionnaires, there were 1 812 all-cause deaths, with an all-cause mortality rate of 3.16%. Multivariate logistic regression analysis showed that elderly (taking ≤50 years as a reference, 51-59 years: OR=1.583, 95% CI 1.279-1.933, P=0.001; 60-69 years: OR=3.972, 95% CI 3.271-4.858, P<0.001; 70-79 years: OR=7.236, 95% CI 5.917-8.698, P<0.001; ≥80 years: OR=11.738, 95% CI 9.459-14.663, P<0.001), male ( OR=1.371, 95% CI 1.229-1.529, P<0.001), and co-infection with hepatitis B virus (HBV) (positive serum HBV surface antigen, OR=0.629, 95% CI 0.484-0.817, P<0.001) were independent influencing factors for all cause mortality. Receiver-operating characteristic curve analysis showed that the area under the curve for male, age and current HBV infection prediction of all-cause death was 0.529 ( P<0.001), 0.724 ( P<0.001) and 0.514 ( P=0.042), respectively, and the cut-off value for age prediction of all-cause death was 65.5 years old. Compared with patients without HBV infection, MHD patients with HBV infection significantly reduced the proportion of severe and critically ill patients, all-cause hospitalizations and all cause deaths when infected with SARS-CoV-2 (4.99% vs. 6.41%, χ2=6.136, P=0.013; 8.90% vs. 11.44%, χ2=11.662, P<0.001; 2.01% vs. 3.37%, χ2=10.713, P=0.001, respectively). Conclusion:The MHD patients in Jiangsu province are susceptible to SARS-CoV-2. Elderly age and male gender are independent risk factors for death in MHD patients during the epidemic, while the HBV infection may be a protective factor for death of MHD patients infected with SARS-CoV-2.

Objective:To analyze the current situation of health education among medical staff at all levels of hospitals in Beijing, for references in improving the level of hospital health education.Methods:From July to November 2022, a stratified random sampling method was used to select medical staff from hospitals at all levels in Beijing as the survey subjects. A self-designed questionnaire was used to investigate the frequency of health education conducted by medical staff in six dimensions. The Likert 5-level scoring method was used to assign scores to the frequency of health education, and latent profile analysis was conducted on each score to explore the categories of health education conducted by medical staff.Results:2 792 questionnaires were effectively collected, among which 2 792 medical staff were surveyed, including 1 009 doctors, 1 609 nurses, and 174 technicians and pharmacists. The scores for the frequency of health education conducted in six dimensions: health education in the media or outside the hospital, health knowledge lectures in the hospital, outpatient health education, inpatient health education, health education during follow-up, and health prescriptions were (1.45±0.68) points, (1.68±1.01) points, (2.65±1.65) points, (2.76±1.74) points, (3.24±1.58) points, and (2.59±1.71) points respectively. According to latent profile analysis, healthcare personnel conducting health education could be divided into four categories: low development group (46.6%, 1 300 people), high development group (4.6%, 129 people), inpatient/follow-up development group (19.4%, 541 people), and outpatient/follow-up development group (29.4%, 822 people). The hospital level and profession of medical personnel in each category were different, and the differences were statistically significant( P<0.001). Conclusions:Medical staff in Beijing mainly carry out health education at such stages as patient follow-up, inpatient, and outpatient, but there is insufficient health education accessible in the media or outside the hospital. There are differences in the health education situation of medical personnel at different levels of hospitals and professions. It is recommended to build an efficient health education management system, actively explore new media-based health education channels, and reasonably allocate health education resources to comprehensively improve the health education of medical staff.