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.

Studies on specific transient receptor potential melastatin 2 (TRPM2) channel inhibitors can deepen our understanding of the pathological mechanism of related diseases, and allow discovery of novel, effective targets and drugs for therapy. The development of TRPM2 channel inhibitors can be broadly classified into four categories with distinct characteristics: reutilization and structural modification of homologous ion channel modulators to produce a diverse array of TRPM2 channel inhibitors with strong inhibitory effects; TRPM2 channel inhibitors based on channel gating mechanism with high specificity; inhibitors identified through high-throughput screening with novel chemical structures; inhibitors developed from natural antioxidants with higher safety. In recent years, the application of computer-aided drug design has significantly accelerated the development of TRPM2 channel inhibitors. Several promising compounds such as ZA18, A1 and D9 have been discovered, and it is expected that more potent and selective TRPM2 channel inhibitor scaffolds will be discovered in the future. This article reviews the advances on the studies of TRPM2 channel inhibitors, aiming to provide insights for further research and clinical application of TRPM2 channel inhibitors.
TRPM Cation Channels/antagonists & inhibitors* ; Humans ; Drug Design

Objective To assess the clinical utility of single-molecule real-time technology(SMRT)in identifying triplicated α-globin genes and compound variant alleles.Methods A total of 36 samples with tripli-cated α-globin genes were collected.Among them,28 samples were confirmed by PCR flow-through hybridiza-tion and 8 samples were confirmed by Next Generation Sequencing(NGS).These 36 samples included tripli-cated α-globin genes compound variants with cis or trans arrangements unknown,such as αααanti4 2 compoundαcsα(2 cases),αααanti4.2 compound-α3.7(10 cases),and HKαα/--SEA pending confirmation(2 cases),SMRT technology was employed to detect thalassemia gene variants.Additionally,a pedigree with the genotype ofαααanti4.2 compound-α3.7 variant was recruited,including the proband(Ⅱ-1),its father(Ⅰ-1),and mother(Ⅰ-2).PCR flow-through hybridization and SMRT were employed to detect thalassemia gene variants.Results SMRT detected 35 out of 36 samples with triplicated α-globin genes,and 1 sample with quadrupllcated α-globin genes(ααααanti4.2).Among the 2 αααanti4 2 compound αCSα variant samples,both αααanti42 and αCSα were arranged in trans,with a genotype of αααanti4.2/αCSα.Among the 10 αααanti4.2 compound-α3.7 variant samples,9 samples hadαααanti4.2 and-α3.7 in a cis arrangement,with a genotype of HKαα/αα,and 1 sample had αααannti4.2 and-α3.7 in a trans arrangement,with a genotype of αααanti4.2/-α3.7.Compared with PCR flow-through hybridization,SMRT detected one case of a large segment deletion in the β-globin gene and two unknown variants,which led to an increase in the positive detection rate of approximately 10.71％(3/28).The pedigree analysis showed that the proband(Ⅱ-1)inherited αααanti4.2 and-α3.7 variants from his mother(Ⅰ-2),with a genotype of HKαα/αα,con-sistent with the SMRT detection results.Conclusion SMRT can accurately detect triplicated or quadrupllcat-ed α-globin genes,and compound variant alleles.It offers high accuracy,enables one-step identification of cis or trans arrangements,and provides comprehensive coverage of thalassemia gene variations,demonstrating its significant clinical value.

OBJECTIVE To explore the effects of meropenem exposure and degradation levels on clinical efficacy in patients with purulent meningitis （PM）. METHODS A total of 131 PM patients treated with meropenem at the Affiliated Suzhou Hospital of Nanjing Medical University from January 2022 to June 2025 were prospectively included. Relevant data were collected and divided into a cured group （91 cases） and a non-cured group （40 cases） based on the efficacy. High-performance liquid chromatography-tandem mass spectrometry was used to determine the concentration of meropenem and its open-loop metabolites. Risk factors that affect efficacy were screened， and their predictive power and correlation were evaluated by univariate analysis， and multivariate Logistic regression analysis， receiver operating characteristic （ROC） curves， and correlation analysis. RESULTS Univariate analysis showed that serum creatinine， creatinine clearance rate， minimum inhibitory concentration of meropenem ≥16 μg/mL， cerebrospinal fluid red blood cell count， cerebrospinal fluid white blood cell count， cerebrospinal fluid glucose content， blood trough concentration， blood open-loop metabolite concentration/trough concentration ratio， and intrathecal injection were all correlated with efficacy （P＜0.05）. The results of multiple Logistic regression analysis showed that serum creatinine blood open-loop metabolite concentration/trough concentration ratio， intrathecal injection， and cerebrospinal fluid glucose content were influencing factors for suboptimal anti-infective ltt efficacy （P＜0.05）. ROC curve analysis showed that when the blood open-loop metabolite concentration/trough concentration ratio was greater than 2.854 （AUC＝0.647）， serum creatinine was less than 59.5 μmol/L （AUC＝0.647）， and cerebrospinal fluid glucose content was less than 3.37 mmol/L （AUC＝0.709）， the risk of treatment failure significantly increased （P＜0.05）. Correlation analysis showed that the blood trough concentration of meropenem was positively correlated with the concentration of its open-loop metabolites （R 2＝0.134 5， P＜0.000 1）. CONCLUSIONS Insufficient exposure level and rapid degradation of meropenem are key mechanisms affecting the anti-infective efficacy of PM. Elevated blood open-loop metabolite concentration/ trough concentration ratio， low serum creatinine level， lack of intrathecal injection， and low cerebrospinal fluid glucose content are independent risk factors for poor efficacy.

Objective: To explore the relationship of family function with sleep and externalizing problem behaviors of preschool children, so as to provide a guidance for externalizing problem prevention and intervention among preschool children. Methods: From October 2023 to January 2024, a convenience sampling method was used to select 5 138 preschool children from kindergartens in 8 districts of Wuhan City, Hubei Province. Parents completed the survey for Family Adaptability and Cohesion Scale, children s sleep habits and Child Behavior Checklist (CBCL). Spearman correlation analysis was used to examine the correlation of family function with scores of sleep quality and externalizing problem behaviors among preschool children. A mediation model analysis and bootstrap test were conducted to further investigate the mediating role of sleep quality between family function and externalizing problem behaviors. Mplus 8.7 software was used for latent profile analysis of family function. Results: The reported rates of poor sleep quality and externalizing problem behaviors among preschool children were 11.8% ( n =607), 20.0% ( n =1 026). The relevant analysis results showed that family function was negatively correlated with sleep quality and externalizing problem behaviors ( r = -0.20, -0.23), and sleep quality was positively correlated with externalizing problem behaviors ( r =0.27) ( P <0.01). The mediation effect test showed that family function negatively predicted externalizing problem behaviors ( β =-0.079) and sleep quality ( β = -0.075), while sleep quality positively predicted externalizing problem behaviors ( β =0.215) ( P <0.01). The latent profile analysis results showed that family function could be classified into 4 categories: high family function group (23.01%), upper middle family function group (44.65%), moderate family function group (26.24%) and low family function group (6.11%). Compared to high family function, the other three categories significantly positively predicted externalizing problem behaviors, and the mediating effects of sleep quality on different categories of family function were statistically significant [upper middle family function: mediation effect value was 0.022 (95% CI =0.004-0.041) and direct effect value was 0.329 (95% CI =0.263-0.396); middle family function: mediation effect value was 0.087 (95% CI =0.063-0.115) and direct effect value was 0.491 (95% CI =0.416-0.565); low family function: mediation effect value was 0.144 (95% CI =0.107-0.185) and direct effect 0.621 (95% CI =0.503-0.740)] ( P < 0.05 ). Conclusion Family function negatively predicts the externalizing problem behaviors of preschool children, and sleep quality plays a partial mediating role.

Objective:To analyze the clinical features and genetic sequencing results of a patient with Kallmann syndrome(KS) carrying digenic mutations who initially presented with osteoporosis, and to enhance awareness of this disease phenotype.Methods:Clinical data were collected, and peripheral blood DNA was extracted for whole-exome sequencing. Relevant literature was reviewed to summarize phenotypes associated with digenic/oligogenic variants involving CHD7.Results:The patient exhibited back pain, delayed development of secondary sexual characteristics, and hyposmia. Laboratory tests revealed reduced sex hormones and gonadotropin levels, while pituitary imaging was unremarkable. Bone mineral density imaging confirmed osteoporosis, and thoracolumbar X-rays showed multiple vertebral compression fractures. Genetic analysis identified a heterozygous splice-site mutation in CHD7(c.2698-1G>T) and a heterozygous missense mutation in WDR11(c.439G>A: p.D147N). According to ACMG criteria, the CHD7 mutation was classified as pathogenic, while the WDR11 variant was defined as a variant of uncertain significance(VUS). Literature review indicated that 40% of KS patients with digenic/oligogenic variants involving CHD7 presented with hearing or ocular abnormalities.Conclusion:This study reports a novel CHD7 mutation and a previously undescribed digenic combination of CHD7 and WDR11 variants in a KS patient. CHD7 variants may be implicated in auditory or ocular involvement in KS cases with digenic/oligogenic inheritances. KS patients may also manifest skeletal abnormalities in addition to hypogonadotropic hypogonadism. Tailored management of sex hormones and osteoporosis therapies across life stages is essential for optimizing bone health in KS.

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.