ObjectiveThis study aimed to investigate whether Bushen Tongluo prescription inhibits macrophage polarization by regulating the Wnt3a/β-catenin signaling pathway， thereby reducing epithelial-mesenchymal transition and excessive extracellular matrix deposition， in order to elucidate the anti-pulmonary fibrosis mechanisms of Bushen Tongluo prescription and provide a new theoretical basis for the clinical treatment of pulmonary fibrosis. MethodsFifty male Sprague-Dawley （SD） rats were randomly divided into a blank group， model group， pirfenidone group， and high- and low-dose Bushen Tongluo prescription groups. Except for the blank group， the pulmonary fibrosis model was established by intratracheal instillation of bleomycin. Intervention was initiated on day 28 after modeling. The high- and low-dose Bushen Tongluo prescription groups were administered Bushen Tongluo prescription at doses of 30.88， 15.44 g·kg^-1， respectively， by intragastric gavage. The pirfenidone group was administered pirfenidone capsules at 110 mg·kg^-1 by intragastric gavage. The blank and model groups were given an equal volume of normal saline by gavage， once daily for 90 days. After treatment， the level of transforming growth factor-β₁ （TGF-β₁） in bronchoalveolar lavage fluid （BALF） was detected by enzyme-linked immunosorbent assay （ELISA）. Morphological changes in lung tissue and the collagen volume fraction were compared. The protein distribution and expression of E-cadherin， cytokeratin 19， α-smooth muscle actin （α-SMA）， vimentin， collagen type Ⅰ （Col Ⅰ）， and collagen type Ⅲ （Col Ⅲ） in lung tissue were detected by immunohistochemistry. The protein distribution and expression of CD68， arginase-1 （Arg-1）， inducible nitric oxide synthase （iNOS）， Wnt3a， and β-catenin in lung tissue were detected by immunofluorescence. The protein expression of Wnt3a and β-catenin in lung tissue was detected by Western blot， and the mRNA expression of Wnt3a and β-catenin was detected by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with the blank group， a large number of inflammatory cells infiltrated the airway walls， alveolar spaces， and interstitial tissue in the model group， with obvious fibrous tissue hyperplasia. The level of TGF-β₁ in BALF was significantly increased. The protein expression of E-cadherin and cytokeratin 19 in lung tissue was decreased， whereas the protein expression of α-SMA， Vimentin， Wnt3a， β-catenin， Col Ⅰ， and Col Ⅲ was increased. The fluorescence-positive area ratios of CD68， Arg-1， iNOS， Wnt3a， and β-catenin in lung tissue were increased. The protein and mRNA expression levels of Wnt3a and β-catenin in lung tissue were significantly increased （P<0.01）. Compared with the model group， all treatment groups showed varying degrees of improvement in inflammatory cell infiltration and fibrous tissue hyperplasia in the airway walls， alveolar spaces， and interstitial tissue， decreased TGF-β₁ levels in BALF， increased protein expression of E-cadherin and cytokeratin 19 in lung tissue， decreased protein expression of α-SMA， Vimentin， Col Ⅰ， and Col Ⅲ， decreased fluorescence-positive area ratios of CD68， Arg-1， iNOS， Wnt3a， and β-catenin in lung tissue， and decreased protein and mRNA expression levels of Wnt3a and β-catenin in lung tissue （P<0.05， P<0.01）. ConclusionBushen Tongluo prescription can improve bleomycin-induced pulmonary fibrosis in rats by inhibiting epithelial-mesenchymal transition and reducing excessive extracellular matrix deposition. The mechanism may be related to inhibition of the Wnt3a/β-catenin signaling pathway and the macrophage polarization mediated by this pathway.

Objective The aim of the study is to analyze the incidence patterns and epidemiological characteristics of parasitic and vector-borne diseases in the Minhang and Jinshan districts of Shanghai, and provide evidence-based information for optimizing prevention and control measures. Methods We collected information from epidemic reports and epidemiological investigation forms for cases of parasitic and vector-borne diseases from 2005 to 2024 in Shanghai's Minhang and Jinshan districts. Descriptive epidemiological method were adopted to conduct a comparative analysis of incidence trends, epidemic characteristics, and infection sources. Results A total of 229 cases in 7 categories were reported between 2005 and 2024, with an average annual incidence rate of 0.36/100 000. The average annual incidence rate in Minhang District was significantly higher than that in Jinshan District. The most prevalent diseases were malaria and dengue fever, followed by Japanese encephalitis. Monthly case reports were available, predominantly from June to October, with a peak in July-August. A statistically significant difference was observed between the two districts in case distribution during June-October (P＜0.001), whereas no significant difference was found for July-August (P=0.331). The majority of cases were young men (111/229,48.47%), aged 20-39 years. Migrant workers/farmers constituted the largest occupational group (55/229, 24.02%). Registered residents of other provinces and cities (147/229,64.19%), and the main source of infection was overseas importation (112/229,48.91%). There were no statistically significant differences in gender and household-registration composition between the two districts (P＞0.05). Significant differences existed in age, occupation, and source of infection (P＜0.05). The imported diseases were malaria and dengue fever, with Africa and Southeast Asia being the primary source locations. Malaria was the predominant disease imported from other provinces and cities, with cases having been imported from abroad since 2012. Local infections were mainly Japanese encephalitis, followed by malaria (with the last local case reported in 2010). Cases between 2005 and 2009 were predominantly imported from other provinces and cities. The proportion of cases imported from abroad increased sharply after 2010, particularly in Minhang District. Local infections sometimes arise in Jinshan District, with Japanese encephalitis serving as the primary type. Conclusions Incidence rates of parasitic and vector-borne diseases in Minhang and Jinshan districts have generally remained low. To further reduce this disease burden, it will be necessary to strengthen joint measures for prevention and control, eliminate the environmental risk factors of vector organisms, enhance monitoring and precise control of the environment and inbound personnel to prevent the occurrence and transmission of parasitic and vector-borne diseases.

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

Objective:To systematically evaluate the current financing status of Beijing's urban and rural residents'basic medical insurance,analyze equity disparities among different groups under the existing flat-rate financing policy.By simulating the equity changes of various financing schemes with different contribution rates,this study aims to provide foundations for advancing medical insurance financing system reform.Methods:Based on the per capita disposable income and number of insured residents in Beijing's 16 districts from 2018 to 2023,we separately calculated the Gini coefficient,concentration index,and Kakwani index,along with their changes before and after financing adjustments,to assess the funding burden among different insured groups.Using the geometric mean method,we projected per capita disposable income and insured populations for each district in Beijing from 2024 to 2035,simulating various financing schemes under different premium rate systems.Results:From 2018 to 2023,the Gini coefficient of net income after financing consistently exceeded that of original income before financing.The concentration index remained positive and showed an upward trend,while the Kakwani index was negative for all periods.The Gini coefficient after financing slightly decreased for the elderly and working populations with fiscal subsidy support,whereas it remained higher than that for students and children.Under the simulated differentiated rate system,the post-funding Gini coefficient for 2024-2035 was lower than the original value,and the Kakwani index was positive.Conclusions:The current fixed-amount financing mechanism for urban and rural residents'basic medical insurance exhibits regressive characteristics and insufficient fairness,with disparities in equity among different insured groups.It is necessary to establish differentiated financing standards based on differential rates,particularly implementing a financing mechanism with dynamic adjustments according to regional and group income levels,to enhance the fairness of financing for urban and rural residents'basic medical insurance.

Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the"therapeutic module"of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

Objective:To analyze the synergistic relationship between financing and payment systems in China's urban employee basic medical insurance under the background of aging,providing decision-making basis for promoting coordinated development of these two systems.Methods:Based on statistical yearbook data from medical security systems,the Delphi method was employed to identify collaborative analysis indicators for urban employee medical insurance financing and payment under the aging population context.A collaborative theory-based model was constructed to measure the coordination degree of China's urban employee medical insurance financing and payment composite system,while simultaneously assessing the orderliness of the financing and payment system and the coordination degree of the composite system.Results:The order degree of the financing system ranged from 0.324 in 2019 to 0.517 in 2023;the order degree of the payment system ranged from 0.454 in 2019 to 0.517 in 2023;the synergy degree of both systems reached-0.084 in 2023.Conclusions:Influenced by aging,the development speed and scale of China's urban employee basic medical insurance financing system and payment system are asynchronous,with the payment system being more affected than the financing system,resulting in a non-coordinated and disordered development state of the composite financing-payment system.

Objective:To systematically evaluate the current financing status of Beijing's urban and rural residents'basic medical insurance,analyze equity disparities among different groups under the existing flat-rate financing policy.By simulating the equity changes of various financing schemes with different contribution rates,this study aims to provide foundations for advancing medical insurance financing system reform.Methods:Based on the per capita disposable income and number of insured residents in Beijing's 16 districts from 2018 to 2023,we separately calculated the Gini coefficient,concentration index,and Kakwani index,along with their changes before and after financing adjustments,to assess the funding burden among different insured groups.Using the geometric mean method,we projected per capita disposable income and insured populations for each district in Beijing from 2024 to 2035,simulating various financing schemes under different premium rate systems.Results:From 2018 to 2023,the Gini coefficient of net income after financing consistently exceeded that of original income before financing.The concentration index remained positive and showed an upward trend,while the Kakwani index was negative for all periods.The Gini coefficient after financing slightly decreased for the elderly and working populations with fiscal subsidy support,whereas it remained higher than that for students and children.Under the simulated differentiated rate system,the post-funding Gini coefficient for 2024-2035 was lower than the original value,and the Kakwani index was positive.Conclusions:The current fixed-amount financing mechanism for urban and rural residents'basic medical insurance exhibits regressive characteristics and insufficient fairness,with disparities in equity among different insured groups.It is necessary to establish differentiated financing standards based on differential rates,particularly implementing a financing mechanism with dynamic adjustments according to regional and group income levels,to enhance the fairness of financing for urban and rural residents'basic medical insurance.

The aim of this study is to establish an gene editing method of Mesomycoplasma hyo-pneumoniae(Mhp)based on the homologous recombination principle.The restriction enzyme di-gestion and ligation method combined with gene synthesis were used to construct a shuttle plasmid to achieve replication in both Mhp and Escherichia coli(E.coli).The pGEM?-T vector was used as the skeleton.The oriC sequence of Mhp which can achieve the replication of the plasmid in Mhp was inserted into the vector.Sequences of the Spiroplasma promoter and puromycin resistance gene were then inserted into the above constructed plasmid to screen recombinant clones.The up-stream and downstream homologous arms of p97 were constructed to initiate homologous recombination.The recA gene of E.coli is inserted to improve the efficiency of homologous recom-bination.The obtained shuttle plasmid was then delivered into Mhp by electro-transformation or chemical transformation.A shuttle plasmid,pGEM?-Mhp-oriC-p 97,which can replicate in both Mhp and E.coli was constructed.With the transformation of this plasmid,the carried puromycin gene and recA gene can be expressed,the p97 gene can be edited.Finally,the genetically unstable p97 gene mutant was initially obtained.In this study,a tool for Mhp gene editing based on the principle of homologous recombination was established,which laid a foundation for the develop-ment of tools for studying the pathogenesis of Mhp.

Objective:To explore the risk factors of quality of life(QoL)being below normal levels in patients undergo-ing total knee arthroplasty(TKA)at 6 months after surgery,and to construct a nomogram prediction model.Method:Two-hundred and sixty-seven patients who underwent TKA at Qingdao Hospital,University of Health and Rehabilitation Sciences(Qingdao Municipal Hospital)from April 2021 to October 2022 were selected.Clini-cal data were collected on admission and within 6 months after surgery.According to the QoL assessment at 6 months after surgery,they were divided into a high-quality group(n=136)and a non-high-quality group(n=131).LASSO regression was used to screen the predictors,and multivariate Logistic regression was established to construct the predictive model of QoL of TKA patients at 6 months after surgery.Receiver operating character-istic curve(ROC curve),calibration curve and decision curve were drawn to evaluate its predictive value.Result:A total of 131(49.06%)patients had lower QoL than normal 6 months after TKA.LASSO regression selected age,surgical side,education level,duration of knee osteoarthritis(KOA),perioperative recovery,and visual analog scale(VAS)during preoperative rest as predictors.Multivariate logistic regression analysis showed that age(OR,1.08;95%CI,1.01-1.15),duration of KOA(OR,1.13;95%CI,1.05-1.22),VAS during preoperative rest(OR,1.94;95%CI,1.20-3.15),and perioperative rehabilitation(OR,0.42;95%CI,0.18-0.97)were independent risk factors for lower than normal QoL in TKA patients at 6 months after surgery(P<0.05).Statistically significant indicators in multivariate logistic regression analysis were includ-ed in the nomogram model,which underwent internal validation.The area under the ROC curve was 0.829(95%CI,0.779-0.879),indicating good predictive ability of the model.The calibration curve showed good consistency between the predicted probability and the actual probability.The decision curve analysis showed that this model is clinically applicable.Conclusion:Age,duration of KOA,VAS during preoperative rest,and perioperative rehabilitation are indepen-dent predictors of lower-than-normal QoL in TKA patients at 6 months after surgery,and the nomogram mod-el based on the above indicators had good predictive performance.