[摘 要] 目的：通过多组学整合分析，解析肠道菌群在胆管癌（CCA）发生发展中的潜在作用机制并识别相关关键基因。方法：基于SRA数据库的16S rRNA测序数据，比较CCA患者与健康对照者的肠道菌群组成；采用孟德尔随机化（MR）分析评估菌群与CCA风险的遗传关联。通过gutMGene和GeneCards数据库获取相关代谢物与基因，进行代谢和功能富集分析。整合GEO单细胞转录组数据（GSE213452），解析肿瘤微环境的细胞组成，重点关注T细胞亚群及其功能状态，并结合TCGA-CHOL数据集验证关键候选基因的表达差异。结果：与健康对照组相比，CCA患者肠道菌群组成发生显著改变，变形菌门下菌群异常富集（LDA > 4）。MR分析进一步证实，肠杆菌目与肠杆菌科的遗传易感性均与CCA风险呈正向关联。代谢通路富集分析提示，菌群相关代谢物主要参与嘌呤代谢及糖酵解/糖异生等通路；功能富集分析显示，相关基因显著富集于NOD样受体、IL-17、Toll样受体及NF-κB信号通路等炎症免疫通路。单细胞转录组分析结果显示，CCA组织中肿瘤细胞比例显著升高（P < 0.05），T细胞比例由20.7%增至39.2%；拟时序分析结果表明，MKI67⁺ T细胞处于分化末期并呈高增殖特征，其差异基因与菌群相关基因存在交集，其中SERPINA1和IFNG表达在肿瘤免疫微环境中显著变化（P < 0.001），可能发挥核心调控作用。TCGA-CHOL数据集验证显示，SERPINA1在CCA肿瘤组织中显著下调（P < 0.001），而IFNG在肿瘤与正常组织间无显著差异（P > 0.05）。结论：肠道菌群失衡（尤其是肠杆菌科异常增殖）可能通过代谢-免疫调控网络促进CCA进展，T细胞功能变化与关键基因（SERPINA1和IFNG）在MKI67+ T细胞中的差异化表达模式密切相关。

ObjectiveTo explore the efficacy and mechanism of Euphorbia humifusa on acute kidney injury （AKI） based on network pharmacology， molecular docking and experimental verification. MethodsThe active components and targets of E. humifusa were retrieved from TCMSP and SwissTargetPrediction database， and the AKI targets were screened by GeneCards and Online Mendelian Inheritance in Man（OMIM） databases. The drug targets and disease targets were intersected to construct a protein-protein interaction network， and the intersection targets were subjected to gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） enrichment analysis. Discover Studio software was used to verify the molecular docking of key components and core targets. Gentamicin （GM） was used to induce AKI rat model. Control group， model group， verapamil （16 mg·kg^-1） group， E. humifusa extract （18， 54， 162 mg·kg^-1·d^-1） group and E. humifusa 70% ethanol extract （423 mg·kg^-1） group were continuously administered for 14 days. Urine volume was detected 24 h after modeling and administration. Serum creatinine （SCr）， Blood urea nitrogen （BUN）， 24-hour urine protein （24 hUTP） and uric acid （UA） content； the contents of malondialdehyde （MDA）， glutathione （GSH）， superoxide dismutase （SOD）， carbon monoxide synthase （NOS） and lactate dehydrogenase （LDH） in kidney were measured. The levels of interleukin （IL）-6 and tumor necrosis factor （TNF）-α in serum were detected by enzyme linked immunosorbent assay（ELISA） kit. The pathological changes of renal tissue were detected by hematoxylin-eosin （HE） and Masson staining. Western blot was used to detect the expression of PI3K/protein kinase B（Akt）/NF-κB signaling pathway-related proteins. ResultsIn this study， 13 active components such as kaempferol， luteolin， apigenin， gallic acid and quercetin were screened and identified from E. humifusa. Through bioinformatics analysis， these components and AKI have a total of 289 targets， of which 62 are core targets， including Akt1， TNF， tumor protein p53（TP53） and IL-1β. These targets are mainly involved in the regulation of biological processes such as NF-κB signaling pathway， HIF-1 signaling pathway， TNF signaling pathway， PI3K/Akt signaling pathway and mitogen-activated protein kinase（MAPK） signaling pathway. In animal experiments， we successfully constructed a GM-induced AKI model in rats. Compared with the model group， E. humifusa extract could significantly reduce the levels of 24 hUTP， BUN and SCr in rats （P<0.01）， indicating its improvement effect on renal function. In addition， the extract of E. humifusa also significantly reduced LDH activity and MDA content in rat kidney tissue （P<0.05， P<0.01）， and significantly increased SOD， NOS activity and GSH content （P<0.05）， indicating that the extract of E. humifusa has the potential of anti-oxidation and protection of renal function. Further analysis of inflammatory factors showed that the levels of IL-6 and TNF-α in serum of rats treated with E. humifusa extract were significantly decreased （P<0.01）， indicating that E. humifusa extract had anti-inflammatory effects. In addition， the extract of E. humifusa can also regulate the protein expression of PI3K/Akt/NF-κB signaling pathway， which further confirmed its mechanism of reducing GM-induced AKI. ConclusionThe extract of E. humifusa has a significant therapeutic effect on acute kidney injury through its multi-component and multi-target mechanism. Its effect is reflected in improving renal function， anti-oxidation， anti-inflammation and regulating immune response. These findings provide a scientific basis for the application of E. humifusa in the treatment of acute kidney injury， and point out the direction for future drug development and clinical research.

Based on CT scan data,a bionic model of lumbar spine injuries with high biofidelity is developed and validated through cadaver experiments.Decoupling the constraint system that affects occupants during collisions due to inertial forces and the subsequent pressure exerted by the seat upon returning to position,a simulated fall experiment is designed.The simulated outcomes are trained and predicted using deep learning algorithms,and the accuracy of the trained neural network prediction model is verified.Key parameters are analyzed for correlation using principal component analysis and cross-reverse methods.The results shows that the predicted lumbar spine injury model obtained from training has high reliability(R2>0.9).Comprehensive analysis reveals that after experiencing axial impact,the L4 vertebral body bears the highest impact load and can be used as a representative measure of lumbar spine injury.Among the environmental variables,the axial force on the L4 lumbar spine is mainly affected by torso mass and fall height,both of which have positive correlations.Torso mass,fall height,and posture angle all have positive effects on internal energy.Conversely,torso mass and fall height have negative correlations with stress.These research findings provide a scientific basis for further elucidating lumbar spine injury mechanisms in intelligent cockpit environments,devising corresponding safety protection measures,and evaluating occupant safety in automobiles.

Allergic rhinitis (AR), a globally prevalent immune-mediated inflammatory condition, is still an incurable disease. In the present study, we have validated the impact of the Kelch-like ECH associated protein 1 (Keap1)-related oxidative stress and inflammatory response in clinical AR patient peripheral blood and nasal swab samples, emphasizing the biological relevance of Keap1 and AR. Targeting Keap1 -nuclear factor erythroid 2-related factor 2 (Nrf2) related anti-oxidative stress may be effective for AR intervention. Drawing inspiration from the Keap1 homodimerization and the E3 ligase characteristics, we herein present a design of novel bivalent molecules for chemical knockdown of Keap1. For the first time, we characterized ternary complexes of Keap1 dimer and one molecule of bivalent compounds. The best bivalent molecule 8 encompasses robust capacity to degrade Keap1 as a homoPROTAC^KEAP1. It efficaciously suppresses inflammatory cytokines in extensively different cells, including human nasal epithelial cells. Moreover, in an AR mouse model, we confirmed that the chemical degradation induced by homoPROTAC^KEAP1 led to therapeutic benefits in managing AR symptoms, oxidative stress and inflammation. In summary, our findings underscore the efficacy of targeting the Keap1 system through the homoPROTAC-ing technology as an innovative and promising treatment strategy for the incurable allergic disorders.

Background and Aims:Obstructive jaundice(OJ)caused by common bile duct stones(CBDS)is a major risk factor for acute cholangitis(AC).Early identification of high-risk patients is essential for improving prognosis.Soluble CD163(sCD163)and milk fat globule epidermal growth factor 8(MFG-E8)are associated with inflammatory diseases,but their predictive value for AC in CBDS-related OJ remains unclear.This study aimed to evaluate the predictive significance of serum sCD163 and MFG-E8 levels for AC in patients with CBDS-OJ.Methods:A total of 142 patients with CBDS-OJ admitted from January 2022 to June 2024 were included as the observation group,and 145 healthy individuals undergoing physical examination served as controls.Serum sCD163 and MFG-E8 levels were measured using ELISA.Based on the occurrence of AC within 24 hours after admission,patients with CBDS-OJ were divided into an AC group(n=48)and a non-AC group(n=94).Clinical variables and serological indicators were compared between groups.Multivariate logistic regression was used to identify independent factors associated with AC.Receiver operating characteristic(ROC)curves were generated to assess the predictive performance of sCD163,MFG-E8,and their combination.Results:Compared with the control group,patients with CBDS-OJ showed significantly elevated serum sCD163 levels and decreased MFG-E8 levels(both P<0.05).Within the observation group,the AC group had higher AST,ALT and sCD163 levels and lower MFG-E8 levels than the non-AC group(all P<0.05).Logistic regression identified elevated sCD163 as an independent risk factor(OR=3.478,P<0.001)and reduced MFG-E8 as a protective factor(OR=0.526,P=0.020)for AC.ROC analysis showed AUC values of 0.759 for sCD163,0.787 for MFG-E8,and 0.920 for their combined detection,with the combined model outperforming either marker alone(P<0.001).Conclusion:Serum sCD163 elevation and MFG-E8 reduction are closely associated with the development of AC in patients with CBDS-OJ.Combined detection of sCD163 and MFG-E8 provides superior predictive value and may serve as a useful tool for early risk stratification in clinical practice.

Based on CT scan data,a bionic model of lumbar spine injuries with high biofidelity is developed and validated through cadaver experiments.Decoupling the constraint system that affects occupants during collisions due to inertial forces and the subsequent pressure exerted by the seat upon returning to position,a simulated fall experiment is designed.The simulated outcomes are trained and predicted using deep learning algorithms,and the accuracy of the trained neural network prediction model is verified.Key parameters are analyzed for correlation using principal component analysis and cross-reverse methods.The results shows that the predicted lumbar spine injury model obtained from training has high reliability(R2>0.9).Comprehensive analysis reveals that after experiencing axial impact,the L4 vertebral body bears the highest impact load and can be used as a representative measure of lumbar spine injury.Among the environmental variables,the axial force on the L4 lumbar spine is mainly affected by torso mass and fall height,both of which have positive correlations.Torso mass,fall height,and posture angle all have positive effects on internal energy.Conversely,torso mass and fall height have negative correlations with stress.These research findings provide a scientific basis for further elucidating lumbar spine injury mechanisms in intelligent cockpit environments,devising corresponding safety protection measures,and evaluating occupant safety in automobiles.

Background and Aims:Obstructive jaundice(OJ)caused by common bile duct stones(CBDS)is a major risk factor for acute cholangitis(AC).Early identification of high-risk patients is essential for improving prognosis.Soluble CD163(sCD163)and milk fat globule epidermal growth factor 8(MFG-E8)are associated with inflammatory diseases,but their predictive value for AC in CBDS-related OJ remains unclear.This study aimed to evaluate the predictive significance of serum sCD163 and MFG-E8 levels for AC in patients with CBDS-OJ.Methods:A total of 142 patients with CBDS-OJ admitted from January 2022 to June 2024 were included as the observation group,and 145 healthy individuals undergoing physical examination served as controls.Serum sCD163 and MFG-E8 levels were measured using ELISA.Based on the occurrence of AC within 24 hours after admission,patients with CBDS-OJ were divided into an AC group(n=48)and a non-AC group(n=94).Clinical variables and serological indicators were compared between groups.Multivariate logistic regression was used to identify independent factors associated with AC.Receiver operating characteristic(ROC)curves were generated to assess the predictive performance of sCD163,MFG-E8,and their combination.Results:Compared with the control group,patients with CBDS-OJ showed significantly elevated serum sCD163 levels and decreased MFG-E8 levels(both P<0.05).Within the observation group,the AC group had higher AST,ALT and sCD163 levels and lower MFG-E8 levels than the non-AC group(all P<0.05).Logistic regression identified elevated sCD163 as an independent risk factor(OR=3.478,P<0.001)and reduced MFG-E8 as a protective factor(OR=0.526,P=0.020)for AC.ROC analysis showed AUC values of 0.759 for sCD163,0.787 for MFG-E8,and 0.920 for their combined detection,with the combined model outperforming either marker alone(P<0.001).Conclusion:Serum sCD163 elevation and MFG-E8 reduction are closely associated with the development of AC in patients with CBDS-OJ.Combined detection of sCD163 and MFG-E8 provides superior predictive value and may serve as a useful tool for early risk stratification in clinical practice.

A 29-year-old man visited Zhongshan Hospital, Fudan University in December 2021. The patient presented with recurrent coughing, sputum, and wheezing, high level of serum total IgE, positive aspergillus fumigatus-specific IgE and extremely severe mixed ventilatory dysfunction. These features and thoracic CT results scan showed bronchiectasis and allergic bronchopulmonary aspergillosis. In consideration of his clinical characteristics, including low levels of fractional exhaled nitric oxide (FeNO), and nasal nitric oxide (nNO), persistent cough after birth, consanguineous marriage of his parents, etc. we ratiocinated a possibility of hereditary diseases, especially primary ciliary dyskinesia (PCD). From this perspective, whole exome sequencing (WES) was performed and the diagnosis of PCD was ultimately confirmed.

Objective Based on the acupuncture literature data set,a named entity recognition method of acupuncture literature based on dictionary and deep learning model is proposed to improve the effect of acupuncture literature entity recognition.Methods In this paper,the entity recognition methods of acupuncture literature were explored,and the vector representation effects based on word2vec and ALBERTmodels and ALBERT+domain dictionary were compared.On this basis,a named entity extraction method combining domain dictionary and ALBERT-BiLSTM-CRF deep learning model was proposed.Results According to the extraction effect of three model entities,the P value of word2vec-BiLSTM-CRF is 81.82%,the R value is 70.76%,and the F1 value is 75.48%;ALBERT-BiLSTM-CRF has an P value of 83.10%,a R value of 81.14%and a F1 value of 81.98%."ALBERT-BiLSTM-CRF+dictionary"is 92.57%,91.42%and 91.85%.In terms of entity categories,the top three entities with the highest accuracy rate are acupuncture,needling and needling site,which are 98%,ninety-seven percent and ninety-seven percent respectively,while the three entities with the lowest accuracy rate are acupoint matching corresponding symptoms,disease names and sample size,which are 50.00%,50.68%and 52.43%respectively.Conclusion Compared with the original ALBERT-BiLSTM-CRF model,the precision rate,recall rate and F1 value increased after adding the dictionary,and the convergence speed of the model after adding the dictionary was twice that without adding the dictionary.It is effective to use"ALBERT-BiLSTM-CRF+dictionary"model to identify named entities in acupuncture literature.

Objective: To investigate the correlation between tumor size, tumor location, and prognosis in patients with early-stage endometrial cancer (EC) receiving adjuvant radiotherapy. Methods: Data of patients who had been treated for stage I–II EC from March 1999 to September 2017 in 13 tertiary hospitals in China was screened. Cox regression analysis was performed to investigate associations between tumor size, tumor location, and other clinical or pathological factors with cancer-specific survival (CSS) and distant metastasis failurefree survival (DMFS). The relationship between tumor size as a continuous variable and prognosis was demonstrated by restricted cubic splines. Prognostic models were constructed as nomograms and evaluated by Harrell’s C-index, calibration curves and receiver operating characteristic (ROC) curves. Results: The study cohort comprised 805 patients with a median follow-up of 61 months and a median tumor size of 3.0 cm (range 0.2–15.0 cm). Lower uterine segment involvement (LUSI) was found in 243 patients (30.2%). Tumor size and LUSI were identified to be independent prognostic factors for CSS. Further, tumor size was an independent predictor of DMFS. A broadly positive relationship between poor survival and tumor size as a continuous variable was visualized in terms of hazard ratios. Nomograms constructed and evaluated for CSS and DMFS had satisfactory calibration curves and C-indexes of 0.847 and 0.716, respectively. The area under the ROC curves for 3- and 5-year ROC ranged from 0.718 to 0.890. Conclusion Tumor size and LUSI are independent prognostic factors in early-stage EC patients who have received radiotherapy. Integrating these variables into prognostic models would improve predictive ability.