ObjectiveTo investigate the optimal ratio of goat horn replacing antelope horn in Fufang Lingjiao Jiangya pills and the blood pressure-lowering mechanism of this medicine. MethodsThe blood pressure-lowering efficacy of Fufang Lingjiao Jiangya pills with varying proportions of goat horn replacing antelope horn was evaluated on spontaneous hypertensive rats （SHR）. In this experiment， 50 SHR rats were randomly grouped as follows： model （n=8）， captopril （0.01 g·kg^-1） （n=6）， low-dose blank Fufang Lingjiao Jiangya pills （0.342 g·kg^-1） （n=6）， high-dose blank Fufang Lingjiao Jiangya pills （0.684 g·kg^-1） （n=6）， low-dose antelope horn-containing Fufang Lingjiao Jiangya pills （0.378 g·kg^-1） （n=6）， high-dose antelope horn-containing Fufang Lingjiao Jiangya pills （0.756 g·kg^-1） （n=6）， low-dose goat horn-containing Fufang Lingjiao Jiangya pills （0.378 g·kg^-1） （n=6）， and high-dose goat horn-containing Fufang Lingjiao Jiangya pills （0.756 g·kg^-1） （n=6）. Additionally， 8 WKY rats were used as the normal group. Drugs were administered by gavage for 4 weeks while an equal volume of distilled water was administered for the normal and model groups. Blood pressure was measured before administration， 3 h post administration， and biweekly thereafter. In the experiment for Fufang Lingjiao Jiangya pills with goat horn replacing antelope horn in different proportions， 48 SHR rats were randomly grouped as follows： model， blank Fufang Lingjiao Jiangya pills （0.684 g·kg^-1）， antelope horn-containing Fufang Lingjiao Jiangya pills （0.756 g·kg^-1）， 2× goat horn-containing Fufang Lingjiao Jiangya pills （0.824 g·kg^-1）， 4× goat horn Fufang Lingjiao Jiangya pills （0.969 g·kg^-1）， and 6× goat horn Fufang Lingjiao Jiangya pills （1.112 g·kg^-1）. The normal group included 8 WKY rats， and the normal group and model group received an equal volume of distilled water. The treatment lasted for 2 weeks， and blood pressure was recorded at various time points （pre-administration， 3 h post administration， and on days 4， 7， 10， and 14 of administration）. Serum levels of angiotensin-converting enzyme （ACE）， angiotensin Ⅱ（Ang Ⅱ）， renin， and interleukin-6 （IL-6） were measured by enzyme-linked immunosorbent assay. Histopathological changes in the heart， kidney， and thoracic aorta were observed by hematoxylin-eosin staining. The protein levels of ACE2， angiotensin Ⅱ type 1 receptor （AT1R）， and angiotensinogen （AGT） in the kidney tissue were determined by Western blot， while the expression of nuclear factor （NF）-κB p65 and Toll-like receptor 4 （TLR4） in the thoracic aorta tissue was assessed by immunohistochemistry. ResultsCompared with the model group， all treatment groups showed lowered blood pressure （P<0.05， P<0.01）， and the 6× goat horn-containing Fufang Lingjiao Jiangya pills group showed consistent blood pressure-lowering effect with the antelope horn-containing Fufang Lingjiao Jiangya pills group. Compared with the normal group， the model group showed elevated serum levels of ACE， Ang Ⅱ， renin， and IL-6， while the elevations were declined in the Fufang Lingjiao Jiangya pills groups （P<0.05， P<0.01）. Pathological changes in the heart， kidney， and thoracic aorta were alleviated in all the treatment groups， with the 6× goat horn- and antelope horn-containing Fufang Lingjiao Jiangya pills groups exhibited the best effect. Western blot and immunohistochemistry results showed that all the treatment groups exhibited down-regulated protein levels of AT1R， AGT， NF-κB p65， and TLR4 and up-regulated protein levels of ACE2 （P<0.05， P<0.01） compared with model group， with the 6×goat horn- and antelope horn-containing Fufang Lingjiao Jiangya pills groups showcasing the best effect. ConclusionReplacing antelope horn with 6×goat horn in Fufang Lingjiao Jiangya pills can achieve consistent blood pressure-lowering effect with the original prescription. The prescription may exert the effect by inhibiting the renin-angiotensin-aldosterone system （RAAS） and TLR4/NF-κB signaling pathways.

Objective To explore the mechanism of antiplatelet drugs in the treatment of acute lung injury based on the strategy of network pharmacology.Methods The targets of antiplatelet drugs were predicted by SwissTargetPrediction platform,and the related targets of acute lung injury were obtained by GeneCards and OMIM databases.The protein interaction network was constructed through the STRING platform.The CytoHubba and MCODE plug-ins in Cytoscape software were used to screen out the core targets and highly connected target clusters for the treatment of acute lung injury.The DAVID database was used to analyze the gene ontology(GO)bioprocess and Kyoto encyclopedia of genes and genomes(KEGG)signaling pathway enrichment of the core targets.Finally,AutoDockTools software was used for molecular docking verification.Results A total of 20 core targets for antiplatelet drugs in the treatment of acute lung injury were screened,among which the top three core targets were proto-oncogene tyrosine-protein kinase(SRC),phosphoinositide-3-kinase regulatory subunit 1(PIK3R1)and signal transducer and activator of transcription 3(STAT3).Antiplatelet drugs may play a role in the treatment of acute lung injury by regulating epidermal growth factor receptor(ErbB)signaling pathway,positive programmed death receptor-1(PD-1)/programmed death receptor ligand-1(PD-L1)signaling pathway and Janus activated kinase/signal transducer and activator of transcription(JAK-STAT)signaling pathway.Molecular docking results further showed that antiplatelet drugs could bind well to core targets.Conclusion This study elucidated the possible mechanism of antiplatelet drugs in the treatment of acute lung injury from a systematic and holistic perspective,and provided new ideas for further study of the pharmacological mechanism of antiplatelet drugs in the treatment of acute lung injury.

Background The development of railways has a long history, but there is limited research on the health of railway workers at home and abroad. China's high-speed railway development has attracted worldwide attention in recent years, and it is of great significance to study how to promote the health of this occupational population to ensure the safety of railway transportation. Objective To identify development trends and hotspots in the field of railway workers' health at home and abroad. Methods The research literature related to the health of railroad workers dated from January 1, 1973 to December 31, 2022 was searched using the China Knowledge Network Infrastructure (CNKI) and Web of Science Core Collection (WoS) databases. After screening and cleaning, the included literature was subjected to bibliometric analysis by applying CiteSpace 6.1R6 software to visualize and analyze literature co-citation, keyword emergence, and keyword timeline graphs, and by VOSviewer 1.6.19 to visualize and analyze country/region collaboration, keyword co-occurrence, and keyword clustering. Results During the period from 1973 until 2022, a total of 273 Chinese literature and 165 English literature were found to report studies related to the health of railway workers. The Chinese literature began to grow rapidly in 2009 and peaked in 2015, and the number of English literature published in a relatively flat state over the studied period. The country with the most papers indexed by Science Citation Index (SCI) was the United States (58 papers), which also presented the richest international collaborations. The document with the highest domestic citation frequency was published in the Chinese Journal of Mental Health in 1994, and the document with the highest SCI citation frequency was published in the American Journal of Epidemiology in 1994. The keyword co-occurrence analysis showed that the included Chinese literature mainly focused on health checkups, health management, hypertension, mental health, and chronic diseases and their prevalence; the included English literature focused on mortality, lung cancer, epidemiology, and diesel engine exhaust and its exposure. The analysis of emergent words showed that health management, frontline workers, and occupational stress were the topics of interest in Chinese literature in the last five years, while occupational stress, diesel exhaust emissions, and noise exposure were the topics of interest in English literature in the last ten years. The results of the timeline graph analysis suggested that the recent research directions in Chinese literature were health intervention, humanistic care, staff canteens, etc. There were few English-language articles related to this area after 2010. Conclusion The research hotspots of railroad practitioners' health will keep changing with the development of high-speed railways in countries around the world. The outstanding rise of Chinese literature issued in the last decade has been in striking contrast to the slow progress and decreasing of English literature. The Chinese literature has gradually expanded the hotspots from chronic diseases to health management, occupational stress, and sleep disorders.

The breakage pattern of unit particles during the production of oral solid dosage forms (OSD) is closely related to the quality of intermediate or final products. To accurately characterize the particles and study the evolution law of particle breakage, the Bonding model of the discrete element method (DEM) was used to investigate the breakage patterns of model parameters, particle shape and process conditions (loading mode and loading rate) on the dynamic breakage, force-time curve, breakage rate, maximum breakage size ratio and fracture strength of particles. The results showed that the particle breakage force was positively correlated with normal strength and bonded disk scale, negatively correlated with normal stiffness per unit area and tangential stiffness per unit area, and weakly correlated with tangential strength. The particle breakage rate was negatively correlated with the aspect ratio of the particles, and the maximum breakage size ratio was positively correlated with the aspect ratio of the particles; among the three loading modes, the breakage rate of compression breakage model was the largest, the breakage rate of shear breakage model was the second largest, and the breakage rate of wear breakage model was the smallest; the maximum breakage size ratio was positively correlated with the loading rate, the loading mode and the loading rate had no mutual influence on particle breakage rate, but had mutual influence on the maximum breakage size ratio. The research results will provide a theoretical basis for the shift of OSD from batch manufacturing to advanced manufacturing.

Cinnamomi Ramulus and Alismatis Rhizoma are commonly used in the treatment of external-contraction diseases. Cinnamomi Ramulus is pungent， sweet， and warm， with the effects of ventilating lung and dispersing cold， warming Yang and transforming Qi， and promoting water and liquid flow from Taiyang meridian to remove dampness. Alismatis Rhizoma is sweet and cold， with the effects of draining dampness and promoting urination， regulating the waterway， removing water retention in lung， and promoting urination to remove dampness and heat. Herbal pairs are extracted from the accumulated experience of medical practitioners over the ages in the use of medicines and have been proved by clinical application to be composed of simple and effective combinations for specific diseases. The herb pair Cinnamomi Ramulus-Alismatis Rhizoma is an important part in ancient classic formulas such as Wulingsan. Both herbs play a role in draining dampness and promoting urination， warming Yang and transforming Qi， being a representative herb pair used for treating external-contraction exterior syndrome and water retention inside. The review of ancient medical publications revealed that there were a large number of compound formulas containing Cinnamomi Ramulus-Alismatis Rhizoma for dispersing cold and removing dampness， which were widely used for thousands of years in clinical practice. Modern pharmacological studies have shown that the active pharmacological components of Cinnamomi Ramulus （cinnamaldehyde and cinnamic acid） and Alismatis Rhizoma （alisol A and 23-acetate alisol B） have anti-inflammatory， antiviral， and immunoregulatory effects and high safety. Qingfei Paidu decoction containing this herbal pair played an important role in fighting against COVID-19. Despite the extensive pharmacological studies on Cinnamomi Ramulus and Alismatis Rhizoma， few studies have been carried out regarding this herb pair. This paper summarizes the traditional Chinese medicine knowledge about Cinnamomi Ramulus and Alismatis Rhizoma in the treatment of external-contraction diseases and summarizes the chemical composition， pharmacological effects， toxicology and other aspects of the two herbs before and after compatibility， aiming to provide a reference for further research and clinical application.

Objective To analyze the efficacy of Astragalus membranaceus and Draba nemorosa in the treatment of chronic heart failure(CHF),the change of cardiac color ultrasound parameters and its predictive value for adverse end events.Methods A total of 92 patients with Qi-deficiency and blood-stasis combined with Shuiyin CHF treated in Wenzhou Hospital of Traditional Chinese Medicine from September 2019 to September 2021 were randomly selected and divided into two groups by random number table method,with 46 cases in each group.Patients in control group were received conventional Western medicine treatment,and patients in observation group were received the addition and subtraction treatment of Yiqi Huoxue Lishui prescription based on Astragalus membranaceus and Draba nemorosa.The clinical efficacy,TCM syndrome score,heart color ultrasound parameters and the incidence of adverse endpoint events within 6 months were compared between the two groups.Cardiac color doppler ultrasound parameters were compared between the occurrence group and the non-occurrence group,and receiver operating characteristic curve was drawn to analyze the predictive value of cardiac color Doppler ultrasound parameters for adverse end events.Results The total clinical effective rate of the observation group(95.65%)was higher than that of the control group(71.74%)(P<0.05).After treatment,palpitation,weakness,shortness of breath,lethargy and lip purple score in observation group were lower than those in control group(P<0.05).The left ventricular end-diastolic diameter(LVEDD)and left arial diameters(LAD)of the observation group were lower than those of the control group after treatment(P<0.05).After treatment,the left ventricular ejection fraction(LVEF)of the observation group was higher than that of the control group(P<0.05);The incidence of adverse endpoint events within 6 months in the observation group(2.17%)was lower than that in the control group(19.57%)(P<0.05).The LVEDD and LAD in the adverse end point event group were higher than those in the without adverse end point event group(P<0.05),and the LVEF was lower than that in the without adverse end point event group(P<0.05).The area under the curve(AUC)of LVEDD,LAD and LVEF combined to predict the occurrence of adverse endpoint events was 0.812,and the 95%CI confidence interval was 0.734-0.968;The sensitivity of combined detection(93.42%)was higher than that of single detection(71.52%,75.11%,79.62%)(P<0.05).The specificity of combined detection(82.27%)compared with that of single detection(70.19%,73.07%,77.28%)(P>0.05).Conclusion Supplementing qi and promoting blood circulation and rehydrating water based on Astragalus membranaceus and Draba nemorosa can effectively improve the cardiac function of CHF patients,alleviate symptoms such as palpitations and fatigue,and reduce the incidence of adverse endpoint events.In addition,the combined detection of cardiac ultrasound parameters can improve the prediction efficiency of adverse endpoint events,which has certain clinical value.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period，9 035 strains of Gram-negative bacteria were collected from 51 hospitals，of which 7 895（87.4%）were Enterobacteriaceae and 1 140（12.6%）were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli（ n=4 510，49.9%）， Klebsiella pneumoniae（ n=2 340，25.9%）， Pseudomonas aeruginosa（ n=534，5.9%）， Acinetobacter baumannii complex（ n=405，4.5%）and Enterobacter cloacae（ n=327，3.6%）. The ESBLs-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus spp. were 47.1%（2 095/4 452），21.0%（427/2 033）and 41.1%（58/141），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（58/4 510）and 13.1%（307/2 340）；62.1%（36/58）and 9.8%（30/307）of CREC and CRKP were resistant to ceftazidime/avibactam combination，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 59.5%（241/405），while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 18.4%（98/534）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions，with statistically significant differences in the prevalence of CRKP and CRPA（ χ2=20.489 and 20.252， P<0.001）. The prevalence of CREC，CRKP，CRPA，CRAB，ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals（ χ2=11.953，81.183，10.404，5.915，12.415 and 6.459， P<0.01 or <0.05），while the prevalence of CRPA was higher in economically developed regions（per capita GDP ≥ 92 059 Yuan）than that in economically less-developed regions（per capita GDP <92 059 Yuan）（ χ2=6.240， P=0.012）. Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend，and Escherichia coli is ranked in the top，while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different，and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.

AIM To establish a GC-MS method for the simultaneous content determination of sixteen pesticide residues in Lycii Fructus and perform safety assessment.METHODS The analysis was performed on DB-5MS chromatographic column(30 m×0.25 mm,0.25 μm)subjected to the programmed heating,with splitless injection of 1.0 μL dissolved sample at a flowing rate of 1.0 mL/min.Other parameters were as follows:injection port temperature of 250℃,electron impact ionization(EI),electron energy of 70 eV;ion source temperature of 230℃,multi-reaction monitoring mode,and collision gas.of high-purity N2.Pesticide residues with relatively high dietary risk were analyzed and discussed with regard to residue levels,dietary intake risk,risk ranking and cumulative exposure assessment.RESULTS Sixteen pesticides showed good linear relationships within their own ranges(r≥0.994 4),whose average recoveries were 70%-114%,with the RSDs of less than 2%.The highest average cyfluthrin residue of 0.999 2 mg/kg in Lycii Fructus of production regions and the highest average cypermethrin residue of 0.088 4 mg/kg in Lycii Fructus commodities were both detected.In Lycii Fructus of production regions with chronic hazard index(HI)value of 0.012 9 and acute HI value of 0.065 5 and their commodities with chronic HI of 0.001 2 and acute HI of 0.005 4,the pesticide residue of cypermethrin was the leading cause of chronic and acute dietary risk,and additionally,pyridaben within maximum residue limit(MRL)was the only detectectable highly toxic pesticide among the other most concerning pestcides of deltamethrin,pyridaben,chlorpyrifos,dichlorvos and methidathion.CONCLUSION There exist pesticide residues within MRL values in some samples of Lycii Fructus and the use of cypermethrin should be well-controlled.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.