ObjectiveTo explore the molecular mechanisms by which serum containing Gegen Qinlian Tang （GQT） inhibits glycolysis and enhances chemotherapy sensitivity in 5-fluorouracil （5-FU）-resistant colorectal cancer （CRC） cells based on the cyclin-dependent kinase 16 （CDK16）/MYC proto-oncogene （MYC） pathway. MethodsHCT-116/5-FU cells were treated with different concentrations （5%， 10%， 20%， 30%） of GQT-containing serum. Cell viability and 5-FU sensitivity were assessed using the cell counting kit-8 （CCK-8） assay， and the experimental concentrations of 5-FU and GQT for subsequent experiments were determined. Cell proliferation and apoptosis under individual 5-FU， GQT， and combined 5-FU + GQT treatments were evaluated using 5-ethynyl-2′-deoxyuridine （EDU） staining and annexin V-FITC/PI double staining， respectively. Glucose consumption， adenosine triphosphate （ATP） production， and lactate levels were measured by colorimetric assays. Expression levels of glycolysis-related proteins， CDK16， MYC， and phosphorylated MYC were detected by Western blot. Co-immunoprecipitation （CoIP） was used to examine the protein interaction between CDK16 and MYC， and cycloheximide （CHX） treatment was applied to assess the effect of CDK16 overexpression on MYC protein stability. ResultsCCK-8 assays showed that 2.5 mg·L^-1 5-FU significantly inhibited HCT-116 cell viability in a dose-dependent manner. In HCT-116/5-FU cells， significant inhibition was observed only at 5 mg·L^-1 5-FU （P<0.05）， which was used for model establishment. Compared with 5-FU alone， addition of 5% GQT-containing serum significantly suppressed HCT-116/5-FU cell viability （P<0.05）， with stronger inhibition at higher serum concentrations. Thus， 5% GQT-containing serum was used in subsequent experiments. Compared with the control group， 5-FU， GQT， and 5-FU + GQT treatments all significantly reduced cell proliferation （P<0.05） and increased apoptosis （P<0.01）. The 5-FU + GQT combination showed superior inhibition of proliferation compared with 5-FU or GQT alone （P<0.01）， accompanied by more pronounced reductions in glucose consumption， ATP production， and lactate generation （P<0.01）. Additionally， compared with control， 5-FU， and GQT groups， the 5-FU + GQT group exhibited stronger suppression of MYC and its phosphorylated forms （P<0.01） and greater inhibition of glycolytic enzymes， including hexokinase 2 （HK2）， 3-phosphoinositide-dependent protein kinase 1 （PDK1）， lactate dehydrogenase A （LDHA）， and pyruvate kinase M2 （PKM2） （P<0.01）. CDK16， MYC， and MYC phosphorylation expression levels were significantly downregulated in the 5-FU + GQT group compared with the 5-FU group （all P<0.01）. MYC protein stability decreased in a time-dependent manner in the 5-FU + GQT group （P<0.05）， which was rescued by CDK16 overexpression （P<0.05）. ConclusionGQT significantly enhances the sensitivity of HCT-116/5-FU cells to 5-FU， potentially by inhibiting CDK16 and thereby reducing MYC-mediated glycolysis.

ObjectiveTo explore the molecular mechanisms by which serum containing Gegen Qinlian Tang （GQT） inhibits glycolysis and enhances chemotherapy sensitivity in 5-fluorouracil （5-FU）-resistant colorectal cancer （CRC） cells based on the cyclin-dependent kinase 16 （CDK16）/MYC proto-oncogene （MYC） pathway. MethodsHCT-116/5-FU cells were treated with different concentrations （5%， 10%， 20%， 30%） of GQT-containing serum. Cell viability and 5-FU sensitivity were assessed using the cell counting kit-8 （CCK-8） assay， and the experimental concentrations of 5-FU and GQT for subsequent experiments were determined. Cell proliferation and apoptosis under individual 5-FU， GQT， and combined 5-FU + GQT treatments were evaluated using 5-ethynyl-2′-deoxyuridine （EDU） staining and annexin V-FITC/PI double staining， respectively. Glucose consumption， adenosine triphosphate （ATP） production， and lactate levels were measured by colorimetric assays. Expression levels of glycolysis-related proteins， CDK16， MYC， and phosphorylated MYC were detected by Western blot. Co-immunoprecipitation （CoIP） was used to examine the protein interaction between CDK16 and MYC， and cycloheximide （CHX） treatment was applied to assess the effect of CDK16 overexpression on MYC protein stability. ResultsCCK-8 assays showed that 2.5 mg·L^-1 5-FU significantly inhibited HCT-116 cell viability in a dose-dependent manner. In HCT-116/5-FU cells， significant inhibition was observed only at 5 mg·L^-1 5-FU （P<0.05）， which was used for model establishment. Compared with 5-FU alone， addition of 5% GQT-containing serum significantly suppressed HCT-116/5-FU cell viability （P<0.05）， with stronger inhibition at higher serum concentrations. Thus， 5% GQT-containing serum was used in subsequent experiments. Compared with the control group， 5-FU， GQT， and 5-FU + GQT treatments all significantly reduced cell proliferation （P<0.05） and increased apoptosis （P<0.01）. The 5-FU + GQT combination showed superior inhibition of proliferation compared with 5-FU or GQT alone （P<0.01）， accompanied by more pronounced reductions in glucose consumption， ATP production， and lactate generation （P<0.01）. Additionally， compared with control， 5-FU， and GQT groups， the 5-FU + GQT group exhibited stronger suppression of MYC and its phosphorylated forms （P<0.01） and greater inhibition of glycolytic enzymes， including hexokinase 2 （HK2）， 3-phosphoinositide-dependent protein kinase 1 （PDK1）， lactate dehydrogenase A （LDHA）， and pyruvate kinase M2 （PKM2） （P<0.01）. CDK16， MYC， and MYC phosphorylation expression levels were significantly downregulated in the 5-FU + GQT group compared with the 5-FU group （all P<0.01）. MYC protein stability decreased in a time-dependent manner in the 5-FU + GQT group （P<0.05）， which was rescued by CDK16 overexpression （P<0.05）. ConclusionGQT significantly enhances the sensitivity of HCT-116/5-FU cells to 5-FU， potentially by inhibiting CDK16 and thereby reducing MYC-mediated glycolysis.

ObjectiveTo predict the mechanism through which Shasheng Maidong Tang enhances the efficacy of chemotherapy for lung cancer via network pharmacology and validate the prediction results in animal experiments. MethodsThe potential mechanism through which Shasheng Maidong Tang enhances the efficacy of chemotherapy for lung cancer was predicted by network pharmacology， liquid chromatography-mass spectrometry （LC-MS）， and molecular docking methods. C57/BL6 mice were assigned into normal， model， cisplatin， and Shasheng Maidong Tang+cisplatin groups. In addition to the normal group， the remaining groups were injected subcutaneously with 0.2 mL of 1×10⁷ cells·mL^-1 Lewis lung cancer cells to establish the Lewis lung cancer model. The daily gavage dose of Shasheng Maidong Tang was 3.58 g·kg^-1， and the concentration of cisplatin intraperitoneally injected on every other day was 2 mg·kg^-1. Drugs were administered for 14 d. The changes in the tumor volume and the rate of tumor suppression were monitored， and the tumor histopathological changes were observed by hematoxylin-eosin （HE） staining. Enzyme-linked immunosorbent assay was employed to measure the interleukin （IL）-6 and interferon （IFN）-γ levels in peripheral blood. Real-time PCR was performed to quantify the mRNA levels of Janus kinase 2 （JAK2）， signal transducer and activator of transcription 1 （STAT1）， and signal transducer and activator of transcription 3 （STAT3） in the tumor tissue of mice. Western blot was employed to determine the protein levels of JAK2， STAT3， B-cell lymphoma-2 （Bcl-2）， cysteinyl aspartate-specific proteinase-3 （Caspase-3）， and Pim-1 proto1 （PIM1） in the tumor tissue. Immunohistochemistry was employed to detect the expression of Bcl-2 and PIM1 in the tumor tissue. ResultsNetwork pharmacological predictions indicated that Shasheng Maidong Tang might enhance the efficacy of chemotherapy for lung cancer by regulating nitrogen metabolism， AGE-RAGE signaling pathway， cancer pathway， and JAK/STAT signaling pathway. The experimental results demonstrated that tumor volume in the cisplatin group and Shasheng Maidong Tang+cisplatin group was reduced compared with the model group， with statistically distinct differences observed on days 14， 17， 20 post modeling （P<0.05）. Notably， the Shasheng Maidong Tang+cisplatin therapy further decreased tumor volume compared with the cisplatin group， showing marked reductions on days 17 and 20 （P<0.05）， consistent with trends visualized in tumor volume comparison charts. The Shasheng Maidong Tang+cisplatin group exhibited higher tumor inhibition rate than the cisplatin group （P<0.05）. Histopathological analysis via HE staining revealed that the tumors in the model group displayed frequent nuclear mitosis， densely arranged cells， hyperchromatic nuclei， and no necrosis. Cisplatin treatment induced partial necrosis and vacuolization， while the Shasheng Maidong Tang+cisplatin group exhibited extensive necrotic regions， maximal vacuolization， disarranged tumor cells， and minimal mitotic activity. Compared with the model group， the cisplatin group and the Shasheng Maidong Tang+cisplatin group showed elevated level of IFN-γ （P<0.01） and declined level of IL-6 （P<0.01） in the peripheral blood. Compared with the cisplatin group， the Shasheng Maidong Tang+cisplatin group presented elevated level of IFN-γ （P<0.01） and lowered level of IL-6 （P<0.01） in the peripheral blood. Compared with the model group， the cisplatin group and the Shasheng Maidong Tang+cisplatin groups showed down-regulated mRNA levels of JAK2 and STAT3 （P<0.01） and up-regulated mRNA level STAT1 （P<0.01）. Compared with the cisplatin group， the Shasheng Maidong Tang+cisplatin group presented down-regulated mRNA levels of JAK2 and STAT3 （P<0.01） and up-regulated mRNA level of STAT1 （P<0.01）. Compared with the model group， the cisplatin group and the Shasheng Maidong Tang+cisplatin group showed down-regulated protein levels of JAK2 （P<0.01）， Bcl-2 （P<0.01）， PIM1 （P<0.01）， and STAT3 （P<0.05）， and up-regulated protein level of Caspase-3 （P<0.01）. Compared with the cisplatin group， Shasheng Maidong Tang+cisplatin group presented down-regulated protein levels of JAK2 （P<0.01）， Bcl-2 （P<0.01）， PIM1 （P<0.01）， STAT3 （P<0.05）， and up-regulated protein level of Caspase-3 （P<0.01）. The Bcl-2 and PIM1 expression results obtained by immunohistochemistry were consistent with those of Western blot. ConclusionShasheng Maidong Tang may enhance the efficacy of chemotherapy in the mouse model of Lewis lung cancer by regulating the JAK2/STAT3 signaling pathway.

Objective:To analyze the epidemiological characteristics and infection sources of cholera in China from 2005 to 2024.Methods:A total of 2 066 cholera cases were included in the study, which were obtained from the China Disease Control and Prevention Information System (CDPCIS) of China CDC. The information on cholera clusters was downloaded from the National Public Health Emergency Event Surveillance System (PHEESS) of China CDC. A total of 128 cholera clusters were included and analyzed in this study. The epidemiological characteristics and infection sources of cholera were analyzed. The Jointpoint model was applied to analyze the incidence trend, and annual percentage change (APC) was also quantified.Results:From 2005 to 2024, a total of 2 066 cholera cases were reported, with an average of 103 cases reported annually. Specifically, the incidence showed a marked downward trend from 2004 to 2015 ( APC=-26.78%, P=0.006). During 2015-2024, the disease remained at low endemic levels, with an average of 18 reported cases annually ( APC=-2.68%, P=0.807). Cholera peak season was from May to October. A total of 24 provinces reported cholera cases, which were mainly distributed in Zhejiang, Fujian, Beijing, Jiangsu, Anhui, Guangdong, and Hainan provinces, accounting for 78.03% of the total cases. Pathogen surveillance indicated an alternating prevalence of Vibrio cholerae serogroups O1 and O139 among laboratory-confirmed cases between 2005 and 2024. There was a disparity in the dominant serogroup of Vibrio cholerae by region. The results from 128 cholera clusters indicated that cholera outbreaks frequently occurred in rural banquets (64.84%), followed by regular restaurants (13.28%). Among these, 63 clusters (49.22%) with identified infection sources indicated that foodborne transmission (95.24%) was the primary mode of cholera transmission, which mainly through seafood and aquatic products, such as soft-shelled turtles, shrimp and shellfish. The characteristics of cholera clusters caused by Vibrio cholerae serogroups O1 and O139 showed statistically significant differences in scale, attack rate, place of residence, setting, and infection source ( P<0.05). Conclusion:Cholera incidence has remained consistently low since 2015 in China, mainly in sporadic cases. Rural gatherings (e.g., wedding banquets) are the main settings for cholera clusters. The main infection sources are predominantly caused by cross-contamination due to improper processing practices of aquatic products, such as soft-shelled turtles.

An 87-year-old female patient went to a hospital in Nanshan District on July 18, 2023 because of "vomiting and diarrhea for 2 days". She lived in a nursing home, where 43 similar cases were found within 8 days, including 31 elderly people and 12 caregivers. On July 23, 2023, 13 anal swab samples of the elderly patients were collected, to further find the source of infection, 89 anal swab samples of related nursing assistants and 9 environmental swab samples were collected at the same time. The pathogen was identified by reverse transcription polymerase chain reaction, a total of 22 out of 102 anal swab specimens were positive for Norovirus GⅡ, and the positive rate was 12/13 in the elderly people and 11.23% (10/89) in the caregivers, and one norovirus GⅡ positive sample among 9 environmental smear samples. The polymerase region and partial gene sequences of the capsid VP1 region were amplified and sequenced for the Norovirus-positive specimens, among which 20 strains were successfully sequenced and showed GⅡ.4[P16] under the Norovirus online typing tool. The sequences of 11 elderly people were highly homologous to those of 9 caregivers, with a homology of 95% in the polymerase region and 99% in the capsid VP1 region, which had sequence homology of 99% compared with the Genbank reference sequences of OP009779 (2022 Chengdu strain), OQ930719 (2023 Nanjing strain), and OL336359 (2021 Beijing strain).

Objective To investigate the effects and mechanism of Dahuang Lingxian Prescription on bile duct reaction of cholestatic liver fibrosis rats caused by bile duct ligation.Methods A total of 40 SD rats were randomly divided into blank group,model group,ursodeoxycholic acid group and Dahuang Lingxian Prescription group,with 10 rats in each group.Except for the blank group,the remaining groups of rats underwent bile duct ligation surgery to establish a cholestatic liver fibrosis model.After surgery,the ursodeoxycholic acid group was given ursodeoxycholic acid solution by gavage,Dahuang Lingxian Prescription group was given Dahuang Lingxian Prescription solution by gavage,and the blank group and model group were given equal volume of normal saline by gavage,once a day for 3 consecutive weeks.The activities of serum AST,ALT,ALP,GGT and the contents of TBIL,TBA were tetected,the morphology of liver tissue was observed by HE staining,and the liver fibrosis was observed by Masson staining,immunohistochromic staining and Western blot were used to detect the expressions of CK19,CK7,EpCAM and SOX9 proteins.Results Compared with the blank group,the liver surface of the model group rats was rough,with a harder texture and obvious graininess,HE staining showed damage to the liver lobule structure,forming pseudo lobules,a large number of bile duct hyperplasia and inflammatory cell infiltration,and a significant increase in collagen fiber deposition(P<0.01);the activities of serum AST,ALT,ALP,GGT,as well as the contents of TBIL and TBA significantly increased(P<0.01);the positive expressions of CK19,CK7 and EpCAM in liver tissue significantly increased(P<0.01),and the protein expressions of CK19,CK7,EpCAM and SOX9 significantly increased(P<0.01).Compared with the model group,the appearance and texture of the liver of the rats in the ursodeoxycholic acid group and Dahuang Lingxian Prescription group were relatively softer,the lobular structure was less damaged,the inflammatory cells infiltration was less,the collagen fiber deposition was significantly reduced(P<0.01),the activities of serum AST,ALT,ALP,GGT,and the contents of TBIL and TBA were significantly decreased(P<0.01);the expressions of TBA and TBIL were significantly decreased(P<0.01),the positive expressions of CK19,CK7 and EpCAM significantly decreased(P<0.01),and the protein expression of CK19,CK7,EpCAM and SOX9 significantly decreased(P<0.01).Conclusion Dahuang Lingxian Prescription can inhibit the bile duct reaction associated with liver progenitor cells,decrease the expression of CK19,CK7,EpCAM and SOX9,and thus improve the cholestatic liver fibrosis of rats induced by bile duct ligation.

Objective To identify the key factors affecting the risk of medical surges and their coupling relation5 ships,providing strategic support for medical institutions to optimize risk management and emergency governance.Methods 17 influencing factors were determined based on WSR theory,and an expert scoring method was employed to assess the impact strength among the factors.The DEMATEL method was applied to calculate the centrality,cau5 sality,influence,and being influenced degrees of the influencing factors.The ISM method was used to construct a hierarchical structure of the influencing factors related to medical surge risks,thereby revealing the connections and interaction mechanisms among these factors.Results Seven critical influencing factors were identified,including the crisis decision-making capacity and leadership effectiveness of emergency managers,the completeness of the emer5 gency system and dynamic execution capabilities,and the cross-departmental coordination mechanism and com5 mand collaboration efficiency.Deep driving factors and coupling pathways were also revealed.Conclusion The risk of medical surges exhibits multi-factorial coupling cascade effects;attention should be directed towards the construc5 tion of mid-to-deep level mechanisms such as information systems,institutional frameworks,and organizational management,to enhance targeted capabilities and systemic resilience in risk governance.

Objective Exploring the components of complex scenarios of healthcare surges triggered by major epidemics to provide a theorical basis for building resilience in healthcare organizations.Methods A hybrid analysis method is used to summarize macro-meso-micro multi-level and multi-source heterogeneous information,extract the elements of complex scenarios of medical surge and evaluate the rationality.Fault Tree Analysis method is used to clarify the logical relationship between various scenario elements and construct scenario reasoning paths.Results 10 scenario states,11 disaster-bearing,24 emergency management and 23 scenario results are summarized and extracted to form the key elements of complex surge scenarios.Among them,M4 expansion and coordinated scheduling of key positions,B2 conventional drug inventory emergency/insufficient core treatment drugs,B emergency medical material transportation breakage,S3 disease symptom spectrum shift to severe disease,R13 prevention and control awareness laxity,and M5 media information dissemination management are the key driving factors that promote a major turning point in the scenario.The most positive scenario result is the orderly operation of the medical service system,and the most negative scenario result is the paralysis of the medical service system.Conclusion Medical institutions need to improve emergency plans based on the complex evolution scenarios of medical surges and agile governance capabilities targeting key turning points,focus on dynamically expanding and scheduling personnel in key positions,strengthen material rotation and reserve mechanisms,maintain smooth emergency logistics channels,and improve efficient management of media and public opinion,so as to comprehensively improve overall resilience.

Objective To explore the coupling mechanism between medical surge response resources and the spread of secondary risks during public health emergencies,as well as the effectiveness of relevant interventions.Methods Based on complex network theory,a dual-layer network model of medical resources and secondary events was constructed.The interactive feedback between medical resource status and secondary event risk,as well as the effects of network structure,were analyzed through MATLAB simulations,REPAST agent-based modeling,and mean-field analysis.Results Simulation and prediction results show that an increase in first-layer resource-deficient nodes significantly raises the activation rate and transmission speed of secondary events,while the clustering and spread of secondary events in the second layer,in turn,intensify resource depletion,creating a negative feedback loop.Mean-field analysis indicates a nonlinear positive correlation between the adequacy of medical resources and the likelihood of secondary events.Network structure analysis reveals that when the average node degree exceeds 8,resource allocation efficiency improves markedly.Conclusion There exists a dynamic coupling and bidirectional feedback relationship between medical resource status and secondary event risks.Enhancing the flexible allocation and responsiveness of medical resources,improving multi-sectoral collaborative monitoring and coordinated regulation,optimizing network connectivity and coordination mechanisms for resource distribution,and establishing dynamic monitoring and tiered early warning systems are key strategies for strengthening the resilience of healthcare systems and effectively containing the spread of secondary events.

Objective To define the conceptual connotation of network dynamic collaboration capacity in medical surge response and construct its theoretical model.Methods A mixed concept analysis method was employed,integrating multidisciplinary literature and collecting empirical evidence through semi-structured expert interviews to extract the concept of network dynamic collaboration capacity in medical surge response.By integrating complex systems,network science,synergetics,and dynamic capability theory,and combining the interview results,the study used the analogy of flood control in hydraulic engineering to develop a"network-dynamic-collaboration"triangular capacity theoretical model.Results It reveals one antecedents(sudden external shocks have led to an abnormal and continuous surge in medical demand),six core attributes(information interconnection accessibility,dynamic resource adaptability,risk perception responsiveness,multi-party collaborative interactivity,service process adaptability elasticity,and learning iterative evolution),and four consequences(mitigation of crowding risk,protection of service continuity,minimization of crisis spillover,and enhancement of system resilience)for the network dynamic collaboration capacity in medical surge response.The theoretical model elucidates the coupling mechanisms among network structural resilience,dynamic regulation processes,and collaborative co-evolution in resisting medical surge.Conclusion The new concept and theoretical model proposed in this study deepen the understanding of medical surge response system mechanisms and offer a theoretical framework and practical guidance for strengthening the full-chain resilience of health emergency systems.