Atopic dermatitis （AD） is an atopic disease with a complex etiology and pathogenesis resulting from the interaction of multiple factors. The NOD-like receptor pyrin domain-containing 3 （NLRP3） inflammasome is an important component of innate immunity and is involved in the onset and progression of AD， encompassing multiple processes such as inflammation， pyroptosis， and autophagy. Traditional Chinese medicine （TCM） has shown significant clinical efficacy in the treatment of AD and also offers advantages including flexible compatibility， multi-target effects， and low drug resistance. A large number of studies have shown that single Chinese medicinal components and compound prescriptions can treat atopic diseases by modulating the NLRP3 inflammasome. This article elaborates on the activation of the NLRP3 inflammasome and its influence on the pathogenesis and progression of AD， and summarizes recent studies on the mechanisms by which active constituents， extracts， and compound formulations of Chinese medicine treat AD through regulation of the NLRP3 inflammasome and related signaling pathways， with the aim of providing a reference for the clinical treatment of AD and the development of TCM.

Periodontitis is a chronic inflammatory disease, and its occurrence and development are closely related to the imbalance of local innate immune responses. The caspase family plays a crucial role in regulating inflammatory responses and cell death pathways in periodontal innate immune cells (such as gingival epithelial cells, neutrophils, macrophages, dendritic cells, and natural killer cells). These proteases exhibit a dual regulatory effect on cellular functions. On one hand, apoptotic pathways mediated by caspase-3/7/9 enable the programmed clearance of senescent or damaged cells, while pyroptosis pathways mediated by caspase-1/4 contribute to immune defense and pathogen elimination, collectively helping to maintain tissue homeostasis. On the other hand, excessive activation of the caspase-1/gasdermin D pathway, as well as inflammatory amplification pathways involving caspase-4/6/8, promotes the release of inflammatory cytokines such as IL-1β and IL-18, leading to the disruption of the epithelial barrier and exacerbation of periodontal tissue damage. Caspase regulation exhibits both commonality and cell specificity. In gingival epithelial cells, caspase-1 mediates pyroptosis and inflammation activation, caspase-3 regulates apoptosis and proliferation signaling, and caspase-4 participates in differentiation regulation and pathogen-selective immune responses, collectively adapting to physiological and pathological changes. Neutrophils can utilize the caspase-1/gasdermin D signaling pathway to drive the release of neutrophil extracellular traps without triggering typical pyroptosis. In macrophages, caspase-1 and caspase-8 synergistically promote polarization toward the M1 phenotype, while caspase-3 acts as an apoptosis executor to facilitate macrophage transition to the M2 phenotype in specific microenvironments. This article reviews caspase’s specific mechanism of action in periodontal innate immune-related cells, aiming to provide a new theoretical basis for targeted regulation of caspase in the treatment of periodontitis.

OBJECTIVES: To explore the promoting effect of ginsenoside Rb3 (Rb3) on osteogenesis in periodontitis environment, and to explain its mechanism. METHODS: Human periodontal ligament stem cells (hPDLSCs) were cultured by tissue block method and identified by flow cytometry. Cell counting kit-8 (CCK8) method and calcein acetoxymethyl ester/propidium iodide staining were used to detect the effect of Rb3 on the viability of hPDLSCs cells. In vitro cell experiments were divided into control group, 10 μg/mL lipopolysaccharides (LPS) group, 10 μg/mL LPS+100 μmol/L Rb3 group and 10 μg/mL LPS+200 μmol/L Rb3 group. Alkaline phosphatase (ALP) staining was used to detect the ALP activity of hPDLSCs in each group after osteogenesis induction. The expression of hPDLSCs interleukin-6 (IL-6), interleukin-8 (IL-8), runt-related transcription factor 2 (RUNX2) and transforming growth factor-β (TGF-β)genes in each group after osteogenesis was detected by quantitative reverse transcription polymerase chain reaction (qRT-PCR) method. Western blot was used to detect the protein expression of hPDLSCs phosphorrylated extracellular signal-regulated kinase (p-ERK) in each group. Sprague-Dawley rats were randomly divided into the control group, ligation group and ligation+Rb3 group. The left molar-maxillary tissue was subjected to micro-computed tomography (micro-CT) scanning. After the scanning, the left molar-maxilla was made into periodontal tissue sections. Hematoxylin-eosin (HE) staining was used to detect the infiltration and loss of adhesion of inflammatory cells. Masson staining was used to detect the destruction of gingival collagen fibers. Immunofluorescence staining was used to detect the protein expression of RUNX2 and p-ERK. The expression of TGF-β in rat gingival tissue was detected by qRT-PCR. The protein expression of IL-6 in peripheral serum of rats was detected by enzyme-linked immunosorbent assay (ELISA). Flow cytometry was used to detect the proportion of Treg cells in rat heart blood. The experimental data were statistically analyzed by Graph Pad Prism10.1.2 software. RESULTS: Rb3 had no effect on the cell activity of hPDLSCs. The results of qRT-PCR and ALP staining showed that Rb3 could inhibit the gene expression of IL-6 and IL-8 in inflammatory hPDLSCs, promote TGF-β gene and promote the osteogenic differentiation of inflammatory hPDLSCs. Western blot showed that Rb3 inhibited the protein expression of inflammatory hPDLSCs p-ERK. The results from micro-CT, Masson staining, and HE staining demonstrated that Rb3 promotes alveolar bone formation in rats with periodontitis, while simultaneously inhibiting the destruction of periodontal fibrous tissue, reducing attachment loss, and suppressing inflammatory cell infiltration. The results of flow cytometry showed that Rb3 could promote the differentiation of Treg cells in peripheral blood of periodontitis rats. The results of ELISA and qRT-PCR showed that Rb3 could inhibit the protein expression of IL-6 and promote the gene expression of TGF-β in periodontitis rats. Immunofluorescence results showed that Rb3 could promote the protein expression of RUNX2 and inhibit the protein expression of p-ERK in periodontitis rats. CONCLUSIONS Rb3 can reduce the inflammatory reaction of periodontal tissues in periodontitis rats, and promote the osteogenic differentiation of hPDLSCs by regulating p-ERK pathways.
Animals ; Ginsenosides/pharmacology* ; Osteogenesis/drug effects* ; Periodontitis/metabolism* ; Rats ; Periodontal Ligament/cytology* ; Humans ; Core Binding Factor Alpha 1 Subunit/metabolism* ; Stem Cells/drug effects* ; Interleukin-6/metabolism* ; Rats, Sprague-Dawley ; Interleukin-8/metabolism* ; Cells, Cultured ; MAP Kinase Signaling System/drug effects* ; Transforming Growth Factor beta/metabolism* ; Signal Transduction ; Male ; Phosphorylation ; Lipopolysaccharides ; Extracellular Signal-Regulated MAP Kinases/metabolism* ; Alkaline Phosphatase/metabolism*

Biosensors have become powerful tools for real-time monitoring of specific small molecules and precise control of gene expression in biological systems. High-throughput sensors for 1, 4-butanediamine biosynthesis can greatly improve the screening efficiency of high-yielding 1, 4-butanediamine strains. However, the strategies for adapting the characteristics of biosensors are still rarely studied, which limits the applicability of 1, 4-butanediamine biosensors. In this paper, we propose the development of a 1, 4-butanediamine biosensor based on the transcriptional regulator PuuR, whose homologous operator puuO is installed in the constitutive promoter P_gapA of Escherichia coli to control the expression of the downstream superfolder green fluorescent protein (sfGFP) as the reporter protein. Finally, the biosensor showed a stable linear relationship between the GFP/OD₆₀₀ value and the concentration of 1, 4-butanediamine when the concentration of 1, 4-butanediamine was 0-50 mmol/L. The promoters with different strengths in the E. coli genome were used to modify the 1, 4-butanediamine biosensor, and the functional properties of the PuuR-based 1, 4-butanediamine biosensor were explored and improved, which laid the groundwork for high-throughput screening of engineered strains highly producing 1, 4-butanediamine.
Biosensing Techniques/methods* ; Escherichia coli/metabolism* ; Promoter Regions, Genetic/genetics* ; Green Fluorescent Proteins/metabolism* ; Transcription Factors/genetics* ; Escherichia coli Proteins/genetics* ; Diamines/metabolism* ; Gene Expression Regulation, Bacterial

ObjectiveTo explore effect of Xianlian Jiedu prescription on the recurrence of colorectal cancer （CRC） and investigate the related mechanisms. MethodsA postoperative recurrence model was established in 25 Balb/c mice by injecting CT26 cells subcutaneously into the armpit， followed by surgical removal of 99% of the subcutaneous tumor. The mice were randomly divided into model group， low-dose Xianlian Jiedu prescription （XLJDP-L） group （6.45 g·kg^-1·d^-1）， medium-dose Xianlian Jiedu prescription （XLJDP-M） group （12.9 g·kg^-1·d^-1）， high-dose Xianlian Jiedu prescription （XLJDP-H） group （25.8 g·kg^-1·d^-1）， and 5-fluorouracil （5-FU） group （1×10^-3 g·kg^-1·d^-1）. The mice were euthanized after 14 days of continuous intervention， and recurrent tumor tissue was harvested. Hematoxylin and eosin （HE） staining was used to observe pathological and morphological changes in the recurrent tumor tissue. Immunohistochemistry （IHC） was employed to assess the expression of proliferating cell nuclear antigen （Ki67）， vascular endothelial growth factor （VEGF）， and platelet-endothelial cell adhesion molecule （CD31） in recurrent tumor tissue. The Western blot was used to detect the protein expression levels of angiopoietin-2 （ANG-2）， VEGF， phosphorylated-protein kinase B （p-Akt）， protein kinase B （Akt）， phosphorylated-phosphatidylinositol 3-kinase （p-PI3K）， and phosphatidylinositol 3-kinase （PI3K） in recurrent tumor tissue. ResultsBefore treatment， there were no statistical differences in tumor volume， tumor weight， and body mass among the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group compared to the model group， indicating model stability. After treatment， compared with those in the model group， the tumor volume and tumor weight in the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly reduced （P<0.01）， showing dose dependency. Meanwhile， there were no significant differences in body weight among the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group compared to the model group. HE staining showed that compared with that in the model group， tumor tissue in the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group had loosely arranged cells， increased intercellular spaces， small and shriveled nuclei， light staining， fewer mitotic figures and atypical nuclei， and increased necrotic areas. IHC showed that compared with those of the model group， the positive rates of Ki67， VEGF， and CD31 in the recurrent tumor tissue of the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly reduced （P<0.01） in a dose-dependent manner. Western blot results showed that compared with those of the model group， the protein expression levels of ANG-2 and VEGF in the recurrent tumor tissue of the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly downregulated （P<0.05， P<0.01）， and the p-Akt/Akt and p-PI3K/PI3K ratios were significantly decreased in a dose-dependent manner （P<0.05， P<0.01）. ConclusionXianlian Jiedu prescription significantly inhibits the recurrence of CRC in mice after subcutaneous tumor surgery. The mechanism may involve regulating the PI3K/Akt pathway and downregulating key angiogenic proteins such as ANG-2， VEGF， and CD31.

Booster vaccinations are highly recommended in combating the SARS-CoV-2 Omicron variant and its subvariants. However, the optimal booster vaccination strategies and related immune mechanisms with different prior vaccinations are under-revealed. In this study, we systematically evaluated the immune responses in mice and hamsters with different prime-boost regimens before their protective efficacies against Omicron were detected. We found that boosting with Ad5-nCoV, S_WT-2P or S_Omicron-6P induced significantly higher levels of neutralization activities against Omicron variants than CoronaVac and ZF2001 by eliciting stronger germinal center (GC) responses. Specifically, S_Omicron-6P induced even stronger antibody responses against Omicron variants in CoronaVac and Ad5-nCoV-primed animals than non-Omicron-specific vaccines but with limited differences as compared to Ad5-nCoV and S_WT-2P. In addition, boosting with a specific vaccine has the potential to remodel the existing immune profiles. These findings indicated that adenovirus-vectored vaccines and mRNA vaccines would be more effective than other types of vaccines as booster shots in combating Omicron infections. Moreover, the protective efficacies of the vaccines in booster vaccinations are highly related to GC reactions in secondary lymphatic organs. In summary, these findings provide timely important information on prime-boost regimens and future vaccine design.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective To evaluate the diagnostic efficacy of sound touch viscoelastography(STVi)and shear wave elastography(SWE)in distinguishing between benign and malignant breast nodules.Methods A total of 104 breast nodules(52 benign and 52 malignant)from 102 patients scheduled for surgical treatment at Binzhou Medical University Hospital between October 2024 and February 2025 were prospectively enrolled.All nodules were pathologically confirmed through surgical excision or core needle biopsy.The viscosity coefficient and Young's modulus of both intranodular and perinodular tissues within a 2-mm range were measured using the Mindray Resona A20S ultrasound system.The diagnostic performance of each parameter,the correlation between elastic parameter values and the maximum nodule diameter,as well as the inter-correlation between the two parameters were systematically analyzed.Results The elasticity parameters were significantly higher in malignant nodules[maximum intranodular Viscosity coefficient(Vimax):5.93(4.33,8.47)Pa·s,maximum Young's modulus(Emax):81.18(58.31,120.33)kPa;maximum Viscosity coefficient of the surrounding 2-mm tissue(Vi2max):7.57(5.40,10.16)Pa·s,maximum Young's modulus(E2max):117.21(65.66,170.66)kPa]compared to benign nodules[Vimax:3.70(2.69,5.32)Pa·s,Emax:41.42(28.29,64.25)kPa;Vi2max:4.30(3.63,5.65)Pa·s,E2max:47.23(36.42,74.67)kPa](P<0.05).The diagnostic performance of the 2-mm perinodular tissue(Vi2max:0.78,E2max:0.81)surpassed that of intranodular tissue(Vimax:0.72,Emax:0.77)(P<0.05).The combined diagnostic model(Vi2+E2,Vi+E)achieved AUC values of 0.82 and 0.77,respectively,which outperformed STVi alone(P<0.05)and showed marginally better performance than SWE alone,although the difference was not statistically significant(P>0.05).The maximum nodule diameter showed a moderate correlation with the elasticity parameters,with E2max exhibiting the strongest correlation(r=0.510,P<0.05).Conclusions Both STVi and SWE show clinical value in distinguishing between benign and malignant breast nodules.Particularly,elasticity parameters obtained from the 2-mm perinodular tissue demonstrate better diagnostic performance than those measured within the nodule itself,and combining these parameters enhances the overall diagnostic accuracy of STVi.

Objective·To identify and evaluate novel and reliable non-invasive serological biomarkers for detecting pancreatic ductal adenocarcinoma(PDAC).Methods·Sixty-seven PDAC patients(Ruijin cohort Ⅰ)were recruited at Pancreatic Center,Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,from May 2018 to December 2019.Global proteome profiling of 67 PDAC tumor tissues and 67 matched adjacent normal tissues was performed using mass spectrum.Bioinformatics analysis on the proteomics data was conducted to identify new biomarkers,and receiver operating characteristic(ROC)curves and the area under the curve(AUC)were used to evaluate their value of detecting PDAC.The proteomic and mRNA sequencing data were further downloaded and analysed from the Clinical Proteomic Tumor Analysis Consortium(CPTAC)cohort for validation.In addition,the Ruijin Cohort Ⅱ,consisting of 47 PDAC patients and 75 healthy individuals,was recruited for a case-control study from June 2021 to June 2022.Enzyme-linked immunosorbent assay(ELISA)was used to detect the expression level of new biomarkers in the serum of patients and healthy individuals to evaluate the serological diagnostic values of them.Results·Collagen type Ⅻ α1 chain(COL12A1)was identified as a candidate biomarker for PDAC diagnosis based on differential expression analysis on the proteomic data and was validated to be higher in tumor tissues than in adjacent normal tissues in the CPTAC cohort.In addition,COL12A1 protein levels were significantly higher in the sera of PDAC patients than in those of healthy controls,showing good diagnostic performance with an AUC of 0.82,a sensitivity of 81%,and a specificity of 83%.ROC analysis revealed that COL12A1 improved the performance of carbohydrate antigen 199(CA199)in distinguishing PDAC patients from healthy individuals(AUCCA199=0.91 vs AUCCA199+COL12A1=0.95,P<0.05).Furthermore,COL12A1 also showed excellent ability to distinguish early-stage PDAC patients(stage Ⅰ?Ⅱ)from healthy individuals(AUCCOL12A1=0.83),and significantly improved the AUC of CA199 in early-stage PDAC patients(AUCCA199=0.92 vs AUCCA199+COL12A1=0.97,P<0.05).Conclusion·COL12A1 is a potential serological diagnostic marker that complements CA199 in detecting early-stage PDAC.

Objective:To analyze the current situation and influencing factors of information need for cardiac rehabilitation of urban and rural patients with coronary heart disease, and explore the inequality of information need for cardiac rehabilitation among urban and rural patients with coronary heart disease and its influencing factors, so as to provide a scientific reference for formulating targeted cardiac rehabilitation programs.Methods:From June to July 2024, hospitalized patients with coronary heart disease from a Class A tertiary hospital in Suzhou City were selected by convenience sampling as the study subjects. A General Information Questionnaire, Information Need in Cardiac Rehabilitation Hospital Anxiety and Depression Scale, Health Literacy Management Scale, and Coronary Artery Disease Self-Management Scale were used to conduct a questionnaire survey. Multiple linear regression was used to analyze the influencing factors of the cardiac rehabilitation information needs and the oaxaca-blinder model was used to analyze the causes of unequal information needs in urban and rural patients.Results:A total of 254 hospitalized patients with coronary heart disease who met the inclusion and exclusion criteria were surveyed, included 127 males and 127 females, 182 of them were aged 60 years or older. The total cardiac rehabilitation information needs score of rural and urban patients with coronary heart disease were 168.00 (115.50, 255.00) and 213.00 (132.00, 255.00), respectively, the difference was significant ( U = 5 389.50, P<0.05). Multiple regression analysis showed that health literacy ( β = 0.871, P<0.05) was the influencing factor of cardiac rehabilitation information needs of rural coronary heart disease patients, and depression ( β = 0.719, P<0.05) and living status ( β = -0.186, P<0.05) was the influencing factor of cardiac rehabilitation information needs of urban coronary heart disease patients. Average monthly household income per capita (C = 14.50%) and health literacy (C = 88.30%) were the main causes of the difference in cardiac rehabilitation information needs between urban and rural patients with coronary heart disease. Conclusions:The information demand for cardiac rehabilitation of patients with coronary heart disease in rural area is lower than that in urban areas in Suzhou, mainly due to health literacy and monthly income. It is recommended to narrow the urban-rural gap by improving rural health literacy, optimizing medical insurance policies, and promoting a multi-level rehabilitation service network.