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.

ObjectiveTo compare the performance of different automatic evaluation methods for detecting pattern hallucinations generated by large language models （LLMs） in traditional Chinese medicine （TCM） syndrome differentiation and to identify a strategy with higher overall discriminative performance against expert manual judgment. MethodsA standardized TCM syndrome-differentiation dataset containing 598 cases was constructed from case reports published in Chinese core journals indexed by Peking University Core Journals or Chinese Science Citation Database. Each of the 598 cases was submitted to five Chinese LLMs， with each model generating one syndrome-pattern output per case， yielding 2990 outputs in total. The 598 outputs generated by Qwen3-Next-80B-A3B-Thinking were independently annotated for syndrome-pattern hallucinations by two licensed TCM physicians with intermediate or higher professional titles. Disagreements were adjudicated by a third licensed TCM physician with a senior associate professional title and more than 10 years of clinical experience. The resulting consensus annotations served as the reference labels for training and validating the automated evaluation method. Based on these reference labels， three categories of automated evaluation methods were developed and compared following a progressive strategy from text-level semantic similarity， to syndrome-element structural consistency， and finally multi-feature fusion. Method A employed sentence-embedding models based on semantic similarity between pattern texts. Method B adopted a rule-based threshold method using weighted Jaccard coefficients of disease-location and disease-nature syndrome elements. Method C utilized a machine-learning classifier integrating syndrome-element matching scores， missing and redundant syndrome-element counts， and multiple semantic-similarity features. Five-fold cross-validation was used to evaluate the discriminative performance of each method against manual judgment. The optimal method was then applied to uniformly assess the pattern hallucination rates of five LLMs. ResultsIn method A， text2vec-large-chinese showed best overall performance， with an area under the receiver operating characteristic curve （AUROC）， area under the precision-recall curve （PR-AUC）， F1-score， sensitivity， and specificity of 0.849， 0.884， 0.794， 0.801， and 0.691， respectively. In method B， the corresponding metrics of the rule-based syndrome-element Jaccard threshold method were 0.848， 0.851， 0.817， 0.845， and 0.684， respectively； those of the LLM-based syndrome-element Jaccard method were 0.872， 0.906， 0.795， 0.764， and 0.780， respectively. In method C， the multilayer perceptron （MLP） classifier showed the best overall performance， with AUROC， PR-AUC， F1-score， sensitivity， and specificity of 0.933， 0.951， 0.871， 0.857， and 0.846， respectively. Under the unified evaluation framework combining DeepSeek-R1 syndrome-element extraction and MLP classifier， the estimated pattern hallucination rates of the five LLMs ranged from 56.0% to 77.4%. ConclusionAmong the three automatic evaluation methods， Method C integrating syndrome-element discrepancy features and text semantic features using an MLP classifier showed the highest overall discriminative performance against manual judgment， and is more suitable for evaluating syndrome hallucinations in LLM-based TCM syndrome differentiation tasks.

Objective To investigate the acupoint selection law in acupuncture therapy for post-stroke respiratory dysfunction through data mining techniques with R language;To provide references for acupoint selection of clinical acupuncture practice for this disease.Methods Clinical research literature about acupuncture therapy for post-stroke respiratory dysfunction was retrieved from CNKI,Wanfang Data,VIP,CBM,PubMed,Cochrane Library,Web of Science and Embase from the establishment of the databases to February 20,2025.An acupuncture prescription database was established using Excel 2021.R 4.4.3 was used to analyze acupoint application frequency,meridian tropism,regional distribution and specific acupoints,and clustering analysis and association rule analysis were performed.Results Totally 123 articles were obtained,including 123 acupuncture prescriptions,involving 110 acupoints with a total application frequency of 723 times.High-frequency acupoints included Feishu(BL13),Hegu(LI4),Zusanli(ST36)and Fengchi(GB20),etc.The most frequently used meridians were the Bladder Meridian,Ren Meridian,Lung Meridian and Stomach Meridian.Acupoints were predominantly distributed in the head,neck and back regions,with crossing acupoints being the most commonly employed specific acupoints.Clustering analysis identified five meaningful acupoint combinations.The acupoint pair"Feishu(BL13)-Pishu(BL20)"demonstrated the strongest association.Conclusion Acupuncture treatment for post-stroke respiratory dysfunction follows the principle of strengthening the spleen to resolve phlegm and ventilating lung qi.The core acupoint combination is Feishu(BL13)-Pishu(BL20),with additional a acupoints adjusted based on syndrome differentiation to optimize therapeutic efficacy.

Objective·To detect immunoglobulin(Ig)expression levels in newly diagnosed multiple myeloma(MM)patients before and after induction therapy,and to explore the clinical significance of Ig expression levels and their dynamic changes in relation to treatment efficacy,infection occurrence,and prognosis.Methods·Clinical data from 142 MM patients treated at the Department of Hematology,The First Affiliated Hospital of Soochow University between August 2018 and September 2020 were analyzed.Baseline Ig expression levels and post-induction changes following bortezomib-lenalidomide-dexamethasone(VRD)regimen were assessed.Immunoparesis was defined as uninvolved Igs below the laboratory lower limit of normal.Patients were stratified by immunoparesis severity(mild,moderate,severe,extremely severe).ANOVA,rank-sum tests,and x2 tests were used to analyze correlations with baseline characteristics.The relationship between the improvement in immunoparesis and the induction efficacy,infection occurrence,and prognosis was analyzed based on the dynamic changes in immunoparesis.Results·Normal Igs were severely reduced in newly diagnosed MM patients.Immunoparesis was present in 128 patients(90.1%),with severe or extremely severe immunoparesis accounting for 76.1%.Patients with extensive immunoparesis(all uninvolved Ig levels below the lower normal limit)were more likely to have severe immunoparesis(P<0.05).There were no statistically significant differences in age,gender,presence of severe renal insufficiency,and high-risk cytogenetics among MM patients with different degrees of immunoparesis(P>0.05),but there were statistically significant differences in MM staging(P=0.008)and typing(P=0.010).Most patients with severe immunoparesis were at stage Ⅱ/Ⅲ based on the Revised International Staging System(R-ISS)and were of the IgG type.At diagnosis,the levels of the involved Ig or light chain were negatively correlated with normal Ig levels(P<0.05).Improvement in immunoparesis after induction therapy was positively correlated with treatment response(P=0.006).The infection rate was high(26.8%),but no significant correlation was found between immunoparesis and infection occurrence(P>0.05).After induction therapy,patients showing improvement in immunoparesis had significantly longer progression-free survival(PFS)(median PFS:not reached vs 38 months,P=0.025),but no significant impact on overall survival(OS)was observed(P=0.450).Conclusion·Immunoparesis is common and severe in newly diagnosed MM patients,with severity correlating with disease stage and subtype.VRD therapy can partially reverse immunoparesis,and improvement is positively associated with treatment response and PFS benefit.Infection risk appears unrelated to immunoparesis severity and warrants comprehensive prevention strategies.Humoral immune deficiency may serve as a prognostic indicator in MM,but its impact on OS requires further investigation.

Objective To identify the taste critical quality attribute and design and optimize the flavor-correcting formulation of the traditional Chinese medicine oral preparation Qingre Jiedu Oral Liquid,in order to improve its taste and enhance patient medication adherence.Methods The taste assignment method was employed to identify the taste critical quality attribute of Qingre Jiedu Oral Liquid.Based on human sensory evaluation and the standardized Euclidean distance in electronic tongue analysis,suitable types of corrigent were determined.Subsequently,under constraints such as maximum allowable dosage,solubility,and sweetness,the optimal taste formulation for the sugar-free intermediate of Qingre Jiedu Oral Liquid was determined using Box-Behnken experimental design combined with electronic tongue and human sensory evaluation results.The study was reviewed and approved by the Ethics Committee of Beijing University of Chinese Medicine(Ethics Approval Number 2020BZYLL0609).Results The quantitative score for bitter taste of Qingre Jiedu Oral Liquid accounted for 30.36%,confirming bitterness as the taste critical quality attribute requiring attention.The optimal taste formulation for the sugar-free intermediate of Qingre Jiedu Oral Liquid was determined to be 120 mg·mL?1 erythritol,12 mg·mL?1 acesulfame potassium,and 2.4 mg·mL?1 stevioside.This formulation achieved an 11.75-point improvement in sensory evaluation scores compared to the original commercially available oral liquid.Conclusion This study successfully improved the taste of Qingre Jiedu Oral Liquid and established a comprehensive strategy for flavor-correcting formulation optimization,including a method for identifying taste critical quality attribute.This strategy provides a referential paradigm for palatability enhancement of similar traditional Chinese medicine oral preparations,laying a crucial technical foundation for elevating the clinical value of Chinese herbal medicines and promoting the high-quality development of traditional Chinese medicine(TCM).

Anticoagulants are widely used in the prevention and treatment of thromboembolism.Existing anticoagulants share the common feature of antagonizing or blocking critical steps in the coagulation cascade,which also increases the risk of bleeding.Studies have indicated that factor Ⅺ inhibitors represent a potential therapeutic option for balancing thrombosis and bleeding risks.In recent years,various factor Ⅺ inhibitors,including antisense oligonucleotides(ASOs),monoclonal antibodies,synthetic small molecules,natural peptides,and aptamers,have been extensively researched as potentially exploitable anticoagu-lants.Research findings also suggest that factor Ⅺ inhibitors can reduce bleeding risks while ensuring anticoagulant efficacy,ex-hibiting potential for thrombosis prevention and treatment in patient populations such as those with end-stage renal disease,non-cardioembolic ischemic stroke,and acute coronary syndrome.This article reviewed the mechanisms of action,drug classes,pharma-cological characteristics,and clinical research progress of factor Ⅺ inhibitors,aiming to provide insights into the development of new anticoagulants and clinical anticoagulant therapies.

Objective To investigate the acupoint selection law in acupuncture therapy for post-stroke respiratory dysfunction through data mining techniques with R language;To provide references for acupoint selection of clinical acupuncture practice for this disease.Methods Clinical research literature about acupuncture therapy for post-stroke respiratory dysfunction was retrieved from CNKI,Wanfang Data,VIP,CBM,PubMed,Cochrane Library,Web of Science and Embase from the establishment of the databases to February 20,2025.An acupuncture prescription database was established using Excel 2021.R 4.4.3 was used to analyze acupoint application frequency,meridian tropism,regional distribution and specific acupoints,and clustering analysis and association rule analysis were performed.Results Totally 123 articles were obtained,including 123 acupuncture prescriptions,involving 110 acupoints with a total application frequency of 723 times.High-frequency acupoints included Feishu(BL13),Hegu(LI4),Zusanli(ST36)and Fengchi(GB20),etc.The most frequently used meridians were the Bladder Meridian,Ren Meridian,Lung Meridian and Stomach Meridian.Acupoints were predominantly distributed in the head,neck and back regions,with crossing acupoints being the most commonly employed specific acupoints.Clustering analysis identified five meaningful acupoint combinations.The acupoint pair"Feishu(BL13)-Pishu(BL20)"demonstrated the strongest association.Conclusion Acupuncture treatment for post-stroke respiratory dysfunction follows the principle of strengthening the spleen to resolve phlegm and ventilating lung qi.The core acupoint combination is Feishu(BL13)-Pishu(BL20),with additional a acupoints adjusted based on syndrome differentiation to optimize therapeutic efficacy.

Image 1.

Proteins are fundamental carriers as the structural elements and biochemically active entities responsible for catalysis, transport, and regulation. These functions are depending on the protein folding into precise three-dimensional structures, interacting with ligands, and conformational changes. This article reviews the recent progress of nanopores in single-molecule protein sensing, involving the identification of polypeptides and proteins, the conformation changes of protein folding, the molecular structure responsible to the pH of solutions, the molecular interactions, and protein sequencing. These studies provide clues to understand life activities and facilitate the early diagnosis of diseases and design of drugs for precise treatment.
Nanopores ; Proteins/chemistry* ; Biosensing Techniques/methods* ; Protein Folding ; Humans

Objective To identify the taste critical quality attribute and design and optimize the flavor-correcting formulation of the traditional Chinese medicine oral preparation Qingre Jiedu Oral Liquid,in order to improve its taste and enhance patient medication adherence.Methods The taste assignment method was employed to identify the taste critical quality attribute of Qingre Jiedu Oral Liquid.Based on human sensory evaluation and the standardized Euclidean distance in electronic tongue analysis,suitable types of corrigent were determined.Subsequently,under constraints such as maximum allowable dosage,solubility,and sweetness,the optimal taste formulation for the sugar-free intermediate of Qingre Jiedu Oral Liquid was determined using Box-Behnken experimental design combined with electronic tongue and human sensory evaluation results.The study was reviewed and approved by the Ethics Committee of Beijing University of Chinese Medicine(Ethics Approval Number 2020BZYLL0609).Results The quantitative score for bitter taste of Qingre Jiedu Oral Liquid accounted for 30.36%,confirming bitterness as the taste critical quality attribute requiring attention.The optimal taste formulation for the sugar-free intermediate of Qingre Jiedu Oral Liquid was determined to be 120 mg·mL?1 erythritol,12 mg·mL?1 acesulfame potassium,and 2.4 mg·mL?1 stevioside.This formulation achieved an 11.75-point improvement in sensory evaluation scores compared to the original commercially available oral liquid.Conclusion This study successfully improved the taste of Qingre Jiedu Oral Liquid and established a comprehensive strategy for flavor-correcting formulation optimization,including a method for identifying taste critical quality attribute.This strategy provides a referential paradigm for palatability enhancement of similar traditional Chinese medicine oral preparations,laying a crucial technical foundation for elevating the clinical value of Chinese herbal medicines and promoting the high-quality development of traditional Chinese medicine(TCM).