ObjectiveTo explore the potential mechanism of Xiaoqinglongtang（XQL） in the prevention and treatment of high altitude pulmonary edema（HAPE） by network pharmacology， molecular docking， and molecular dynamics simulation， and to verify it by in vivo animal model. MethodsIn this study， the active ingredients， drug targets， and HAPE-related targets of XQL were collected from BATMAN-TCM， GeneCards， and Online Mendelian Inheritance in Man（OMIM） databases. The protein-protein interaction（PPI） network was constructed by using intersection targets， and the core targets were screened and visualized by Cytoscape software. Functional annotation and pathway analysis of the intersection targets were performed by gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） functional enrichment. AutoDock and GROMACS were used to evaluate the binding ability of active ingredients to key targets. In the experimental verification part， a mouse model of HAPE induced by hypobaric hypoxia（simulated 6 000 m altitude for 48 h） was established. The control effect was evaluated by hematoxylin-eosin（HE） staining， lung tissue water content， lung tissue wet/dry weight ratio， real-time quantitative polymerase chain reaction（Real-time PCR） detection of gene expression levels， and immunohistochemistry and Western blot detection of key protein expression. ResultsA total of 355 active ingredients of XQL， 2 142 targets， 716 HAPE-related targets， and 236 intersection targets were obtained by network pharmacology analysis. Key core targets such as interleukin （IL）-6， tumor necrosis factor （TNF）， protein kinase B1 （Akt1）， and hypoxia-inducible factor-1α （HIF-1α） were screened. The results of GO analysis of common targets involved 738 biological processes（BP）， 72 cellular components（CC）， and 135 molecular functions（MF）. KEGG analysis effectively enriched two important signaling pathways： Phosphoinositol 3-kinase （PI3K）/Akt and HIF-1α. The results of molecular docking and molecular dynamics simulation showed that the screened active ingredients had good binding ability with key targets. In the HAPE model induced by hypobaric hypoxia（6 000 m， 48 h）， the lung tissue water content， lung tissue wet/dry weight ratio， and pathological injury score of the model group were significantly increased（P<0.01）， accompanied by exudation of a large number of red blood cells in the alveoli and alveolar interstitium， a significant increase in inflammatory cells， a significant widening of the alveolar septum， and mutual fusion between the alveoli. The XQL administration group significantly improved the above pathological changes（P<0.01）. The results of inflammatory factor expression showed that compared with the control group， the model group showed significantly up-regulated expression of TNF-α， IL-6， and IL-1β in the lung tissue（P<0.01）. Compared with the model group， the XQL administration group had significantly decreased expression of inflammatory factors（P<0.05， P<0.01）. The mRNA expression of key pathway related genes PI3K， Akt1， mammalian target of rapamycin（mTOR）， and HIF-1α was significantly increased in the model group（P<0.01）， and decreased in a concentration-dependent manner after XQL administration（P<0.05， P<0.01）. The expression levels of key proteins PI3K， phosphorylation（p）-PI3K， Akt1， p-Akt1， mTOR， p-mTOR， and HIF-1α in lung tissue were analyzed by immunohistochemistry and Western blot. Compared with the blank group， the model group showed increased expression of key proteins（P<0.05， P<0.01）. Compared with the model group， the XQL administration group exhibited decreased expression of key proteins（P<0.05， P<0.01）. ConclusionXQL can reduce lung inflammation and improve HAPE. The mechanism may be related to the regulation of PI3K/Akt/mTOR and HIF-1α pathways. This study provides a new idea and a theoretical basis for the treatment of HAPE with XQL.

ObjectiveTo explore the potential mechanism of Xiaoqinglongtang（XQL） in the prevention and treatment of high altitude pulmonary edema（HAPE） by network pharmacology， molecular docking， and molecular dynamics simulation， and to verify it by in vivo animal model. MethodsIn this study， the active ingredients， drug targets， and HAPE-related targets of XQL were collected from BATMAN-TCM， GeneCards， and Online Mendelian Inheritance in Man（OMIM） databases. The protein-protein interaction（PPI） network was constructed by using intersection targets， and the core targets were screened and visualized by Cytoscape software. Functional annotation and pathway analysis of the intersection targets were performed by gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） functional enrichment. AutoDock and GROMACS were used to evaluate the binding ability of active ingredients to key targets. In the experimental verification part， a mouse model of HAPE induced by hypobaric hypoxia（simulated 6 000 m altitude for 48 h） was established. The control effect was evaluated by hematoxylin-eosin（HE） staining， lung tissue water content， lung tissue wet/dry weight ratio， real-time quantitative polymerase chain reaction（Real-time PCR） detection of gene expression levels， and immunohistochemistry and Western blot detection of key protein expression. ResultsA total of 355 active ingredients of XQL， 2 142 targets， 716 HAPE-related targets， and 236 intersection targets were obtained by network pharmacology analysis. Key core targets such as interleukin （IL）-6， tumor necrosis factor （TNF）， protein kinase B1 （Akt1）， and hypoxia-inducible factor-1α （HIF-1α） were screened. The results of GO analysis of common targets involved 738 biological processes（BP）， 72 cellular components（CC）， and 135 molecular functions（MF）. KEGG analysis effectively enriched two important signaling pathways： Phosphoinositol 3-kinase （PI3K）/Akt and HIF-1α. The results of molecular docking and molecular dynamics simulation showed that the screened active ingredients had good binding ability with key targets. In the HAPE model induced by hypobaric hypoxia（6 000 m， 48 h）， the lung tissue water content， lung tissue wet/dry weight ratio， and pathological injury score of the model group were significantly increased（P<0.01）， accompanied by exudation of a large number of red blood cells in the alveoli and alveolar interstitium， a significant increase in inflammatory cells， a significant widening of the alveolar septum， and mutual fusion between the alveoli. The XQL administration group significantly improved the above pathological changes（P<0.01）. The results of inflammatory factor expression showed that compared with the control group， the model group showed significantly up-regulated expression of TNF-α， IL-6， and IL-1β in the lung tissue（P<0.01）. Compared with the model group， the XQL administration group had significantly decreased expression of inflammatory factors（P<0.05， P<0.01）. The mRNA expression of key pathway related genes PI3K， Akt1， mammalian target of rapamycin（mTOR）， and HIF-1α was significantly increased in the model group（P<0.01）， and decreased in a concentration-dependent manner after XQL administration（P<0.05， P<0.01）. The expression levels of key proteins PI3K， phosphorylation（p）-PI3K， Akt1， p-Akt1， mTOR， p-mTOR， and HIF-1α in lung tissue were analyzed by immunohistochemistry and Western blot. Compared with the blank group， the model group showed increased expression of key proteins（P<0.05， P<0.01）. Compared with the model group， the XQL administration group exhibited decreased expression of key proteins（P<0.05， P<0.01）. ConclusionXQL can reduce lung inflammation and improve HAPE. The mechanism may be related to the regulation of PI3K/Akt/mTOR and HIF-1α pathways. This study provides a new idea and a theoretical basis for the treatment of HAPE with XQL.

Abstract Mental health problems in adolescents often emerge alongside incidents of peer bullying, negatively affecting their development. In order to develop intervention measures for peer bullying among Chinese adolescents, the article elaborates on the current research progress in the theoretical basis, evidence based approaches, and practical models of peer bullying intervention, summarizes strengths and limitations of existing approaches, and proposes future research directions for intervention, with the aim of preventing and reducing peer bullying and creating a favorable environment for the healthy adolescent develpment.

ObjectiveTo explore the construction of a machine learning model for the diagnosis of traditional Chinese medicine （TCM） syndromes in chronic cough and the optimization of this model using the Voting ensemble algorithm. MethodsA retrospective analysis was conducted using clinical data from 921 patients with chronic cough treated at the Respiratory Department of Dongfang Hospital， Beijing University of Chinese Medicine. After standardized processing， 84 clinical features were extracted to determine TCM syndrome types. A specialized dataset for TCM syndrome diagnosis in chronic cough was formed by selecting syndrome types with more than 50 cases. The synthetic minority over-sampling technique （SMOTE） was employed to balance the dataset. Four base models， logistic regression （LR）， decision tree （dt）， multilayer perceptron （MLP）， and Bagging， were constructed and integrated using a hard voting strategy to form a Voting ensemble model. Model performance was evaluated using accuracy， recall， precision， F1-score， receiver operating characteristic （ROC） curve， area under the curve （AUC）， and confusion matrix. ResultsAmong the 921 cases， six syndrome types had over 50 cases each， phlegm-heat obstructing the lung （294 cases）， wind pathogen latent in the lung （103 cases）， cold-phlegm obstructing the lung （102 cases）， damp-heat stagnating in the lung （64 cases）， lung yang deficiency （54 cases）， and phlegm-damp obstructing the lung （53 cases）， yielding a total of 670 cases in the specialized dataset. High-frequency symptoms among these patients included cough， expectoration， odor-induced cough， throat itchiness， itch-induced cough， and cough triggered by cold wind. Among the four base models， the MLP model showed the best diagnostic performance （test accuracy： 0.9104； AUC： 0.9828）. Compared with the base models， the Voting ensemble model achieved superior performance with an accuracy of 0.9289 on the training set and 0.9253 on the test set， showing a minimal overfitting gap of 0.0036. It also achieved the highest AUC （0.9836） in the test set， outperforming all base models. The model exhi-bited especially strong diagnostic performance for damp-heat stagnating in the lung （AUC： 0.9984） and wind pathogen latent in the lung （AUC： 0.9970）. ConclusionThe Voting ensemble algorithm effectively integrates the strengths of multiple machine learning models， resulting in an optimized diagnostic model for TCM syndromes in chronic cough with high accuracy and enhanced generalization ability.

Objective:To observe the effects of Qizhi Tongluo Prescription on renal interstitial fibrosis in rats with membranous nephropathy based on the Shh/Gli1 signaling pathway; To explore its intervention mechanism.Methods:Totally 60 male SD rats were divided into blank group ( n=10) and model group ( n=50) using random number table method. The model of membranous nephropathy was established according to the modified Border method. The successfully modeling rats were divided into model group, benazepril group and Qizhi Tongluo Prescription low-, medium- and high-dosage groups using random number table method. Benazepril group was gavaged with benazepril hydrochloride 10 mg/kg, Qizhi Tongluo Prescription low-, medium- and high-dosage groups were gavaged with Qizhi Tongluo Prescription solution 1.22 g/kg, 2.43 g/kg and 4.86 g/kg, and blank group and model group were gavaged with equal volume of normal saline, once a day, for 4 weeks. The 24-hour urine was collected to detect the 24-hour urinary protein quantification, and the blood was taken from the abdominal aorta to detect the levels of total cholesterol (TC), triglyceride(TG), and serum albumin(ALB); the pathological changes of rat kidney were observed by light microscope and transmission electron microscope; the protein expressions of sonic hedgehog factor (Shh), zinc finger protein 1 (Gli1) and α-smooth muscle actin (SMA) in renal tissues were detected by immunohistochemistry; the protein expressions of Shh, Gli1, α-SMA, TGF-β1, Collagen Ⅳ and plasminogen activator inhibitor-1 (PAl-1) in renal tissues were detected by Western blot. Results:Compared with the model group, the quantitative level of 24-hour urinary protein of rats in each administration group decreased ( P<0.05), serum TC and TG levels increased ( P<0.05), ALB level decreased ( P<0.05), the positive expressions of Shh, Gli1, α-SMA protein in renal tissue decreased ( P<0.05), and the protein expressions of Shh, Gli1, α-SMA, Collagen Ⅳ, TGF-β1, PAI-1 in renal tissue decreased ( P<0.05). Conclusion:Qizhi Tongluo Prescription can improve renal interstitial fibrosis in membranous nephropathy rats, possibly by inhibiting the Shh/Gli1 signaling pathway to delay renal interstitial fibrosis.

ObjectiveTo investigate the infection characteristics of respiratory syncytial virus (RSV) in children with acute respiratory tract infection (ARI) in Pudong New Area, Shanghai, from 2013 to 2023, so as to provide an evidence for the prevention and control of RSV in Shanghai. MethodsChildren who sought medical care at sentinel healthcare facilities in Pudong New Area, Shanghai, between January 2013 and December 2023 and met the case definition of ARI were included in the study. Nasopharyngeal swab samples were collected and tested for viral pathogens using real-time fluorescene PCR, and the clinical information of whom was collected simultaneously. ResultsA total of 4 980 children were included in the ARI surveillance, among whom 231 tested positive for RSV, with an overall detection rate of 4.64%. Of these, 106 cases were type A and 125 were type B. From 2013 to 2023, the detection rate of RSV in children showed an overall trend of initial increase followed by a decline, with higher detection rates in autumn and winter and lower rates in spring and summer. The RSV detection rate gradually decreased with age, with the highest rate observed in children <1 year old, accounting for 16.33% (80/490) of RSV-detection cases. Cough was the most common clinical symptom. Among the RSV-positive cases, 36 involved co-infection with another virus, 6 co-infected with three viruses, and 1 with mixed infection of four viruses. The most frequent co-infection was RSV and human coronavirus. ConclusionChildren under 1 year of age are more susceptible to RSV infection, with cough being the predominant symptom. RSV infection in Pudong New Area, Shanghai, mainly occurs in winter. Targeted prevention and control measures should be taken for children under 1 year old during the winter season to reduce the risk of both RSV infection and co-infection with human coronavirus and influenza virus.

OBJECTIVE: To observe the clinical efficacy of warming acupuncture combined with western medication for oligoasthenoteratozoospermia of kidney-yang insufficiency and its effects on the levels of interleukin (IL)-6 and IL-10 in seminal plasma. METHODS: A total of 60 patients with oligoasthenoteratozoospermia of kidney-yang insufficiency were randomly divided into a combination group and a medication group, with 30 cases in each group. The medication group was treated with levocarnitine oral solution orally, 10 mL once, 3 times a day. On the basis of the treatment in the medication group, warming acupuncture was applied at Baihui (GV20), Guanyuan (CV4) and Mingmen (GV4) in the combination group, once every other day, 3 times a week. Both groups were treated for 12 weeks. Before and after treatment, the TCM syndrome score was observed, the semen routine indexes (the sperm concentration, progressive [PR] sperm motility, PR + non-progressive [NP] sperm motility and sperm malformation rate), the serum sex hormones indexes (follicle-stimulating hormone [FSH], luteinizing hormone [LH], testosterone [T] and estradiol [E₂]), as well as the IL-6 and IL-10 levels in seminal plasma were detected, and the clinical efficacy was evaluated after treatment in the two groups. RESULTS: After treatment, except for the hyposexuality score in the medication group, the each item scores and total scores of TCM syndrome were decreased compared with those before treatment (P<0.01, P<0.05), the sperm malformation rates, serum FSH and LH levels, IL-6 levels in the seminal plasma were decreased compared with those before treatment (P<0.01, P<0.05), the PR sperm motility, PR + NP sperm motility, serum T levels, IL-10 levels in the seminal plasma were increased compared with those before treatment (P<0.01, P<0.05) in the two groups; the sperm concentration was increased compared with that before treatment in the combination group (P<0.01). After treatment, compared with the medication group, except for the hyposexuality and frequent nocturia scores, the each item scores and total score of TCM syndrome were lower (P<0.01, P<0.05); the sperm concentration, PR sperm motility and PR + NP sperm motility, serum T level, IL-10 level in the seminal plasma were higher (P<0.01, P<0.05); sperm malformation rate, serum FSH and LH levels, IL-6 level in the seminal plasma were lower (P<0.01, P<0.05) in the combination group. The total effective rate was 83.8% (25/30) in the combination group, which was superior to 60.0% (18/30) in the medication group (P<0.05). CONCLUSION Warming acupuncture combined with western medication can effectively treat oligoasthenoteratozoospermia of kidney-yang insufficiency, regulate the levels of sex hormones, and its mechanism may be related to the down-regulation of IL-6 level and the up-regulation of IL-10 level in seminal plasma.
Humans ; Male ; Interleukin-10/genetics* ; Interleukin-6/genetics* ; Adult ; Semen/metabolism* ; Acupuncture Therapy ; Oligospermia/drug therapy* ; Yang Deficiency/physiopathology* ; Kidney/physiopathology* ; Young Adult ; Asthenozoospermia/drug therapy* ; Combined Modality Therapy ; Treatment Outcome

Objective:To understand the composition of infectious pathogens and the changes in the epidemic characteristics of inpatients with acute respiratory tract infections in Pudong New Area of Shanghai, from 2018 to 2023.Methods:Specimens of inpatients with acute respiratory infection cases were collected from 14 healthcare institutions in Pudong New Area, Shanghai, from 2018-2023 and tested for eight respiratory pathogens: influenza virus, adenovirus, rhinovirus, parainfluenza virus, respiratory syncytial virus, common coronavirus, metapneumovirus, and bocavirus. The groups were divided into three periods,2018-2019, 2020-2022 and 2023, and the chi-square or Kruskal-Wallis rank sum test was used to compare the group differences. The SPSS 22.0 software was used for statistical analysis.Results:Among the 3 023 inpatients with acute respiratory infection, the positive rate of any virus was 24.25% (733/3 023). The positive rates of any virus in 2018-2019, 2020-2022, and 2023 were 33.40% (336/1 006), 12.01% (116/966), and 26.74% (281/1 051), respectively, and the differences were statistically significant ( χ2=128.20, P<0.001). Among the age groups, in 2018-2019 and 2020-2022, the positive rate of any virus was the highest in the <5 years age group (46.20% and 14.64%), while in 2023, the 15-59 years age group had the highest positive rate (32.97%). The positive rate of any virus in winter was the highest in 2018-2019 (53.21%) and 2020-2022 (17.58%), and the highest in autumn was in 2023 (31.53%). The peak positive rate of respiratory syncytial virus was in winter of 2018-2019 and 2020-2022, as well as the summer of 2023.The positive rates of influenza virus in 2018-2019, 2020-2022 and 2023 were 9.84%, 1.55% and 9.71%, respectively. Conclusions:The pathogen epidemic characteristics of inpatients with acute respiratory infection in Pudong New Area from 2018 to 2023 have shown certain changes. It is necessary to strengthen monitoring. Targeted prevention and control strategies should be developed and implemented in a timely manner.

Digital health education is a crucial means to enhance the accessibility and effectiveness of medical services.The"new digital gap"faced by the elderly population makes them a marginalized group in digital health education and disease management.This paper takes cognitive load theory as its starting point,outlines the theoretical foundation of cognitive load,and systematically reviews the factors that influence cognitive load in digital health education for the elderly and propose corresponding optimization inspirations.The aim is to provide references for optimizing digital education models and program designs for the elderly.

The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.