[摘 要] 目的：探讨lncRNA核内富集丰富转录本1（NEAT1）调控miR-1287-5p/DNA损伤诱导转录本4（DDIT4）轴对卵巢癌SKOV3细胞增殖、凋亡和侵袭的影响及其机制。方法：收集2023年6月至2024年6月期间湖北医药学院附属随州医院手术切除的27例卵巢癌患者的癌及癌旁组织标本，以及正常人卵巢上皮细胞IOSE80和卵巢癌细胞系SKOV3、CAOV3和A2780，RT-qPCR检测卵巢癌组织与细胞中lncRNA NEAT1、miR-1287-5p及DDIT4 mRNA表达。将SKOV3细胞分为Ctrl组、si-NC组、si-NEAT1组、si-NEAT1 + anti-miR-NC组、si-NEAT1 + anti-miR-1287-5p组、si-NEAT1 + vector组、si-NEAT1 + OE-DDIT4组。CCK-8法、克隆形成实验、流式细胞术、Transwell实验分别检测各组细胞增殖、凋亡及侵袭能力，WB法检测细胞中DDIT4、细胞周期蛋白D1（cyclin D1）、p53、迁移侵袭增强子1（MIEN1）蛋白水平。双萤光素酶报告基因验证lncRNA NEAT1与miR-1287-5p/DDIT4靶向结合关系，RNA pull-down实验、RNA免疫沉淀实验分别验证lncRNA NEAT1与miR-1287-5p、miR-1287-5p与DDIT4的靶向结合关系。另设pcDNA组（转染空载体pcDNA3.1）和pc-NEAT1 组（转染pcDNA-NEAT1）以验证NEAT1过表达效应。结果：卵巢癌组织中lncRNA NEAT1、DDIT4 mRNA表达水平显著高于癌旁组织（P < 0.05），而miR-1287-5p表达显著低于癌旁组织（P < 0.05）。敲低lncRNA NEAT1后，与Ctrl组和si-NC组相比，si-NEAT1组lncRNA NEAT1表达、DDIT4 mRNA表达均显著降低（均P < 0.05），miR-1287-5p 表达显著升高（P < 0.05）；而过表达lncRNA NEAT1则下调miR-1287-5p表达并上调DDIT4表达，呈现与敲低实验相反的调控效应；敲低lncRNA NEAT1后，克隆形成数、细胞增殖活性、细胞侵袭数均显著降低（均P < 0.05），细胞凋亡率显著升高（P < 0.05）；DDIT4、cyclin D1、MIEN1蛋白表达均显著降低（均P < 0.05），p53蛋白表达显著升高（P < 0.05）。进一步实验证实，anti-miR-1287-5p或OE-DDIT4均可减弱si-NEAT1对SKOV3细胞增殖和侵袭的抑制作用，同时减弱其对细胞凋亡的促进作用。lncRNA NEAT1靶向调控miR-1287-5p/DDIT4。结论：lncRNA NEAT1通过靶向调控miR-1287-5p/DDIT4轴促进SKOV3细胞增殖和侵袭，抑制细胞凋亡。

Background The moderation role of environmental factors in the spread of hand-foot-and-mouth disease (HFMD) has attracted much attention, but the existing conclusions are inconsistent. For example, some scholars believe that high temperature, high humidity, and high concentrations of fine particulate matter (PM_2.5) and nitrogen dioxide (NO₂) increase the risk of HFMD, but other scholars have reached the opposite conclusion, or believe that there is no significant relationship. Objective Based on distributed lag nonlinear model (DLNM), to investigate the relationship between the incidence of HFMD and meteorological and air pollutant variables in Lianyungang City, and to provide scientific basis for early warning. Methods Daily data of meteorological factors and air pollutants in Lianyungang City from 2021 to 2024 were retrieved. Meteorological factors included average daily temperature, average wind speed, average air pressure, and relative humidity. Air pollutant indicators included PM_2.5, inhalable particulate matter (PM₁₀), carbon monoxide (CO), sulfur dioxide (SO₂), NO₂, and ozone (O₃). Spearman correlation analysis was used to analyze their correlations with HFMD, and the R package (version 4.3.1) dlnm was used to construct a DLNM model. Results During the study period, a total of 10503 cases were reported, with a male to female ratio of 1.47∶1 and the highest proportion of scattered children (49.97%). The Spearman correlation analysis results showed that daily average temperature (r=0.40), relative humidity (r=0.17) and O₃ (r=0.14) were positively correlated with the incidence of HFMD (all Ps<0.01), while average air pressure (r=−0.34), PM_2.5 (r=−0.24), PM₁₀ (r=−0.24), CO (r=−0.22), and NO₂ (r=−0.06) were negatively correlated with it (all Ps<0.05). There was no statistical relationship of SO₂ and average wind speed with the incidence of HFMD (both Ps>0.05). The cumulative risk effect was greatest when the daily average temperature was 28.50 ℃ (CRR=4.63, 95%CI: 2.68, 8.01). The average wind speed below 0.50 m·s⁻¹ and in the range of 2.50-3.50 m·s⁻¹ showed an acute risk effect, and low pressure (below 1016.00 hPa) could immediately increase the risk of the disease. The cumulative risk effect was greatest when the relative humidity was 100% (CRR=3.16, 95%CI: 1.77, 5.65). The greatest cumulative protective effects of PM_2.5 and PM₁₀ were present at concentrations of 158.00 μg·m⁻³ (CRR=0.12, 95%CI: 0.01, 0.99) and 561.50 μg·m⁻³ (CRR=0.01, 95%CI: 0.01, 0.99) respectively. The protective effect of CO was the strongest at the highest concentration (67.00 μg·m⁻³) (RR=0.67, 95%CI: 0.34, 0.64). The cumulative protective effects of SO₂ and NO₂ were both most significant at the concentration of 0.50 μg·m⁻³. Low concentrations of O₃ (below 48.00 μg·m⁻³) showed a risk effect, and the single-day protective effect was significant when the concentration was 141.00 μg·m⁻³. Conclusion There is a nonlinear and hysteretic relationship between environmental factors and the incidence of HFMD. A rational and efficient early warning and prevention and control system can be constructed accordingly.

This article reports the diagnosis and treatment of one patient with fascioliasis of the common bile duct, aiming to provide reference for the clinical diagnosis and treatment of this disease. The patient sought medical attention due to long-term symptoms such as abdominal pain, abdominal distension, nausea, and vomiting. Imaging examinations displayed dilatation of the common bile duct and intrahepatic bile ducts, and the patient was admitted to the hospital with a diagnosis of “common bile duct stone”. Through endoscopic retrograde cholangiopancreatography and choledochoscopy, two worms were collected from the common bile duct, which were identified as Fasciola hepatica by high-throughput sequencing.

The integration of large language model （LLM） and traditional Chinese medicine （TCM） promotes the informatization of TCM，and also provides a new direction for the inheritance and innovation of TCM in the new era. Based on the research background of LLM，the development process of LLM based on the Transformer architecture is summarized，and the research progress of LLM in TCM is reviewed. The main process of constructing TCM LLMs and the key techniques used by researchers during model development are summarized. Based on the related literature， the main application scenarios of TCM LLMs and the research explorations conducted by TCM researchers using LLMs are outlined. Meanwhile，the current challenges faced in the development of TCM LLMs are analyzed. Further improvements are urgently needed in the construction of high-quality data，the evaluation methodology of TCM LLMs，the interpretability of the model， multimodal fusion of TCM LLMs， and the development of TCM prescription recommendation models. Looking forward to the future development of LLM in TCM，it is expected to provide a reference for the deeper integration of LLMs and TCM，and facilitate the modernization of TCM.

Purpose: Due to the preservation of the entire stomach after endoscopic resection, the occurrence of metachronous gastric cancer (MGC) remains a possibility. In this study, we investigated the incidence and risk factors for MGC in patients with early gastric cancer who underwent endoscopic submucosal dissection (ESD) and successfully eradicatedHelicobacter pylori. Materials and Methods: A retrospective analysis was conducted of 1,191 patients who underwent ESD and successfully eradicated H. pylori at the Affiliated Drum Tower Hospital of Nanjing University. Endoscopic surveillance was performed at 3, 6, and 12 months post-resection, and annually thereafter. MGC was defined as the development of a new cancer at a site other than the primary gastric cancer site, at least 1 year after the initial endoscopic resection. Results: A total of 77 patients were diagnosed with MGC during a median follow-up of 41.5 months. Kaplan-Meier analysis showed a 5-year cumulative incidence of MGC of 9.4% after successful H. pylori eradication. Multivariate analysis of the training set using Cox proportional hazards models identified male sex, severe atrophic gastritis, multiple gastric cancers before H. pylori eradication, and smoking history as independent risk factors for MGC.The nomogram exhibited favorable discrimination, with area under the curves of 0.767 and 0.822 in the training set and 0.724 and 0.745 in the testing set at 3 and 5 years, respectively. Conclusions Patients with gastric cancer who undergo endoscopic resection, even after successful H. pylori eradication, should undergo annual and continuous endoscopic surveillance for MGC.

ObjectiveTo evaluate the safety and immunogenicity of two doses of live attenuated varicella vaccine in individuals aged 13 years and older, so as to provide a scientific basis for optimizing the varicella vaccination strategy for people aged 13 years and above.MethodsA total of 1 680 healthy adolescents and adults aged 13 to 50 years were selected from two sub-centers of the Hubei Provincial Center for Disease Control and Prevention, and were stratified by age between those aged 13 to 16 years and those aged 17 to 50 years. Subjects in each age group were randomly assigned in a 1∶1 ratio to receive two doses of the test vaccine according to the immunization schedules of 0, 4 or 0, 8 weeks, respectively. Adverse events were collected within 30 minutes and 0 to 14 days after each vaccine dose, as well as all adverse events within 28 days after each dose, and serious adverse events(SAEs) from the first dose to six months after full immunization. Serum varicella virus-specific antibodies were detected before immunization, before the second dose and 28 days after full immunization, and the antibody positive rates(titer ≥ 1∶8), seroconversion rates(antibody titer of susceptible individuals after immunization ≥ 1∶8 or antibody titer of non-susceptible individuals increased ≥ 4 times after immunization), geometric mean titers(GMTs) and geometric mean increases(GMIs) were calculated.ResultsAmong the 1 680 subjects,1 606 subjects completed the study,including 807 in the 13-16 age group and 799 in the 17-50 age group. There were 288 and 340 adverse events in the 13-16 and 17-50 age groups, respectively, mainly grade 1-2. A total of four grade 3 adverse events occurred(two cases of fever, one case of pruritus at the vaccination site, and one case of vaccination site swelling). Adverse events after vaccination mostly occurred within 0-14 days, and no vaccine-related SAE occurred within six months after full immunization. The antibody positive rates before the second dose and 28 days after full immunization were both 100. 00%(1 616/1 616). The seroconversion rates were 55. 32% and 80. 57%, respectively, and the latter was significantly higher than the former(χ~2= 235. 325, P < 0. 000 1).The GMTs were 310. 77 and 626. 63, respectively, and the latter was significantly higher than the former(t =-21. 383, P <0. 000 1). The GMIs were 3. 68 and 7. 42, respectively, and the latter was significantly higher than the former(t =-4. 387, P =0. 012). At 28 days after the full immunization, the seroconversion rates of the two immunization schedules at 0, 4 and 0, 8 weeks were 80. 52% and 80. 62%(χ~2= 0. 003 and 3. 811, P < 1. 000 and 0. 057, respectively), the GMTs were 628. 57 and624. 67(t =-2. 134 and 0. 232, P = 0. 102 and 0. 828, respectively), and the GMIs were 7. 49 and 7. 34(t =-0. 366, P =0. 733), respectively.ConclusionLive attenuated varicella vaccine demonstrates good safety and immunogenicity in individuals aged ≥13 years when administered according to a two-dose immunization schedule, with equivalent immune effects between the two immunization schedules of 0, 4 and 0, 8 weeks, and the vaccination interval can be flexibly selected according to the actual situation.

OBJECTIVE To systematically evaluate the quality of the Heat-clearing and symptom-relieving formula and screen potential marker components that influence the quality of the formula. METHODS The contents of 11 components （calycosin-7- O - β -D-glucoside， ononin， hyperoside， isoquercitrin， baicalin， baicalein， cryptotanshinone， tanshinone Ⅱ A ， tanshinone Ⅰ， senkyunolide A， ferulic acid） in the Heat-clearing and symptom-relieving formula were determined by high-performance liquid chromatography-tandem mass spectrometry （HPLC-MS/MS）. Using the contents of the aforementioned components as variables， cluster analysis （CA）， principal component analysis （PCA）， and orthogonal partial least squares-discriminant analysis （OPLS-DA） were conducted using OriginPro 2024 software and SIMCA 14.1 software； marker components affecting the quality of the Heat-clearing and symptom-relieving formula were then screened based on the criteria of variable importance in the projection （VIP） value＞1 and P ＜0.05. The comprehensive evaluation of 20 batches of samples was carried out using the entropy weight-technique for order preference by similarity to ideal solution（TOPSIS） and grey correlation analysis （GCA） methods. RESULTS The contents of the above 11 components were 7.993-72.866， 4.542-31.228， 727.666-1 901.884， 496.846-1 293.279， 1 995.501-6 779.150， 54.500-241.280， 150.302-304.339， 79.698-189.206， 257.118-682.418， 5.498-21.687， 7.524-26.935 μg/g. CA， PCA and OPLS-DA results showed that 20 batches of samples were grouped into 2 categories. Q1， Q3， Q4， Q7-Q9， Q12， Q15， Q16 were grouped into one category， and the rest were grouped into another category； VIP values of ferulic acid， tanshinone Ⅱ A ， baicalin， cryptotanshinone， calycosin-7- O - β -D-glucoside and ononin were all greater than 1 （ P ＜0.05）. Both the entropy weight-TOPSIS and GCA methods showed that the samples ranked in the top 11 according to the euclidean distance and relative correlation degree were Q2， Q5， Q6， Q10， Q11， Q13， Q14， Q17-Q20. CONCLUSIONS The established HPLC-MS/MS method is rapid， accurate and highly sens itive. Combined with chemical pattern recognition analysis， entropy weight-TOPSIS and GCA methods， this method can be used to evaluate the quality of the Heat-clearing and symptom-relieving formula. Ferulic acid， tanshinone Ⅱ A ， baicalin， cryptotanshinone， calycosin-7- O - β -D-glucoside and ononin may be the marker components that affect the quality of this formula. The overall quality of 11 batches of the Heat-clearing and symptom-relieving formula， including Q17， is relatively superior.

IgA nephropathy (IgAN) is the most common primary glomerulonephritis worldwide and a major cause of chronic kidney disease and kidney failure. IgAN exhibits marked heterogeneity in clinical presentation, histopathology, and pathogenic mechanisms, contributing to variable treatment responses and prognosisamong patients. Precise risk assessment and individualized intervention are therefore of critical importance. This review systematically traces the evolution of IgAN management from traditional risk stratification toward biomarker-driven precision medicine. We first review the clinical utility and limitations of established risk stratification tools, including the KDIGO guidelines, the Oxford MEST-C classification, and the International IgAN Prediction Tool. We then discuss emerging biomarkers closely linked to disease pathogenesis, including galactose-deficient IgA1 (Gd-IgA1), anti-Gd-IgA1 autoantibodies, B cell activating factor (BAFF), a proliferation-inducing ligand (APRIL), and complement components, as well as the targeted therapies they have informed. In addition, urinary biomarkers and multi-omics approaches show promise for dynamic disease monitoring and individualized risk stratification.

Immune checkpoint inhibitors (ICIs) are widely used in the treatment of malignant tumors, and their related immune-related adverse events (irAEs) have attracted increasing attention. This study reports the diagnosis and treatment process of a case of immune cystitis in a patient with hepatobiliary tract malignant tumor after treatment with pembrolizumab. The patient was admitted to the hospital due to frequent urination, urgency of urination and dysuria for 1 month. Previous repeated anti-infection treatments were ineffective. Combined with medical history, laboratory tests, imaging findings, cystoscopy and pathological results, the patient was clinically diagnosed with ICIs-associated immune cystitis (Pembrolizumab) ultimately. The patient's symptoms significantly improved after treatment with glucocorticoids. This case reindicates that clinicians need to improve awareness of ICI-related urinary system irAEs. Early identification and timely intervention can significantly improve patient prognosis.

ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.