ObjectiveTo elucidate the chemical composition of the reference sample of Jinshui Liujunjian and its distribution characteristics in blood and tissues of rats. MethodsUltra performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry（UPLC-Q-TOF-MS/MS） was used to detect the reference sample solution， plasma， and tissue samples of Jinshui Liujunjian under positive and negative ion modes， respectively. Qualitative Analysis 10.0 software and a self-constructed database were employed for primary mass spectrum matching.Compound identification was further validated by comparing retention times， secondary mass spectral fragments， reference standards， and literature data to deduce fragmentation pathways. ResultsA total of 122 compounds were identified in the reference sample of Jinshui Liujunjian， including 47 flavonoids， 5 amino acids， 13 iridoids， 16 triterpenoid saponins， etc.， of which 42 compounds were confirmed by comparison with reference substances. A total of 21 prototype components were identified in blood components； 50 prototype components were identified in different tissues， among which 13， 10， 7， 21， 11， 6， 14， and 40 prototype components were identified in the heart， liver， spleen， lung， kidney， brain， large intestine， and stomach， respectively. Among them， 7 compounds such as ferulic acid， glycyrrhizic acid， and nobiletin were exposed in the target organs of lung and kidney. ConclusionThis study elucidates the material basis of the reference samples of Jinshui Liujunjian， primarily composed of flavonoids and triterpenoid saponins， along with their in vivo distribution characteristics. These findings provide a scientific basis for establishing quality evaluation indicators and offer references for subsequent pharmacodynamic and pharmacokinetic investigations.

ObjectiveTo elucidate the chemical composition of the reference sample of Jinshui Liujunjian and its distribution characteristics in blood and tissues of rats. MethodsUltra performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry（UPLC-Q-TOF-MS/MS） was used to detect the reference sample solution， plasma， and tissue samples of Jinshui Liujunjian under positive and negative ion modes， respectively. Qualitative Analysis 10.0 software and a self-constructed database were employed for primary mass spectrum matching.Compound identification was further validated by comparing retention times， secondary mass spectral fragments， reference standards， and literature data to deduce fragmentation pathways. ResultsA total of 122 compounds were identified in the reference sample of Jinshui Liujunjian， including 47 flavonoids， 5 amino acids， 13 iridoids， 16 triterpenoid saponins， etc.， of which 42 compounds were confirmed by comparison with reference substances. A total of 21 prototype components were identified in blood components； 50 prototype components were identified in different tissues， among which 13， 10， 7， 21， 11， 6， 14， and 40 prototype components were identified in the heart， liver， spleen， lung， kidney， brain， large intestine， and stomach， respectively. Among them， 7 compounds such as ferulic acid， glycyrrhizic acid， and nobiletin were exposed in the target organs of lung and kidney. ConclusionThis study elucidates the material basis of the reference samples of Jinshui Liujunjian， primarily composed of flavonoids and triterpenoid saponins， along with their in vivo distribution characteristics. These findings provide a scientific basis for establishing quality evaluation indicators and offer references for subsequent pharmacodynamic and pharmacokinetic investigations.

ObjectiveTo investigate the therapeutic effects and mechanisms of Qinlian Hongqutang （QLHQT） on nonalcoholic steatohepatitis （NASH）. MethodsC57BL/6J mice were randomly divided into normal and modeling groups. The NASH model was established by feeding a high-fat diet for 12 weeks. After successful modeling， mice were randomly assigned to the model group， low-， medium-， and high-dose QLHQT groups （0.51， 1.02， and 2.04 g·kg^-1）， and a positive control metformin group， with six mice in each group. The mice were treated for 8 weeks. Body weight was recorded before and after treatment. Serum levels of total cholesterol （TC）， triglycerides （TG）， and low-density lipoprotein cholesterol （LDL-C）， as well as hepatic TC， TG， and LDL-C contents， were determined by biochemical assays. Hematoxylin-eosin （HE） staining and oil red O staining were used to evaluate liver histopathology and lipid deposition， respectively. Flow cytometry， enzyme-linked immunosorbent assay （ELISA）， and Real-time polymerase chain reaction （Real-time PCR） were used to assess hepatic macrophage expression and related markers. Western blot and immunofluorescence were used to investigate the potential mechanisms of QLHQT in regulating macrophage polarization. ResultsCompared with the normal group， body weight and serum and hepatic levels of TC， TG， and LDL-C were significantly increased in the model group （P<0.01）. Liver histopathology showed unevenly distributed round lipid droplets in the hepatocyte cytoplasm， accompanied by inflammatory cell aggregation. Flow cytometry showed that the proportion of CD86-positive cells was significantly increased， whereas the proportion of CD206-positive cells was markedly decreased （P<0.05）. Hepatic inducible nitric oxide synthase （iNOS） levels and tumor necrosis factor-α （TNF-α） mRNA expression were significantly increased， while hepatic IL-10 levels and IL-4 mRNA expression were significantly decreased （P<0.01）. The protein expression levels of Toll-like receptor 4 （TLR4）， tumor necrosis factor receptor-associated factor 6 （TRAF6）， and myeloid differentiation factor 88 （MyD88） in the liver were significantly increased （P<0.01）. Compared with the model group， body weight was reduced in the high-， medium-， and low-dose QLHQT groups and in the metformin group. Serum and hepatic TC， TG， and LDL-C levels were significantly decreased （P<0.01）. Liver histopathology showed alleviated hepatic lipid deposition， with markedly reduced lipid droplets and inflammation. Immunofluorescence and flow cytometry showed that the proportions of CD86-positive cells were significantly decreased， whereas the proportions of CD206-positive cells were significantly increased in the high-， medium-， and low-dose QLHQT groups （P<0.05）. Hepatic iNOS levels and TNF-α mRNA expression were significantly decreased （P<0.01）， whereas hepatic IL-10 levels and IL-4 mRNA expression were significantly increased （P<0.01）. The hepatic protein expression levels of TLR4， TRAF6， and MyD88 were significantly decreased， while signal transducer and activator of transcription 6 （STAT6） phosphorylation was significantly increased （P<0.05， P<0.01）. There was no statistically significant difference in total STAT6 protein expression. ConclusionQLHQT effectively ameliorates hepatic inflammation in NASH mice， and the mechanism may involve STAT6- and TLR4-mediated signaling pathways driving polarization of M1 macrophages toward the M2 phenotype.

ObjectiveTo investigate the therapeutic effects and mechanisms of Qinlian Hongqutang （QLHQT） on nonalcoholic steatohepatitis （NASH）. MethodsC57BL/6J mice were randomly divided into normal and modeling groups. The NASH model was established by feeding a high-fat diet for 12 weeks. After successful modeling， mice were randomly assigned to the model group， low-， medium-， and high-dose QLHQT groups （0.51， 1.02， and 2.04 g·kg^-1）， and a positive control metformin group， with six mice in each group. The mice were treated for 8 weeks. Body weight was recorded before and after treatment. Serum levels of total cholesterol （TC）， triglycerides （TG）， and low-density lipoprotein cholesterol （LDL-C）， as well as hepatic TC， TG， and LDL-C contents， were determined by biochemical assays. Hematoxylin-eosin （HE） staining and oil red O staining were used to evaluate liver histopathology and lipid deposition， respectively. Flow cytometry， enzyme-linked immunosorbent assay （ELISA）， and Real-time polymerase chain reaction （Real-time PCR） were used to assess hepatic macrophage expression and related markers. Western blot and immunofluorescence were used to investigate the potential mechanisms of QLHQT in regulating macrophage polarization. ResultsCompared with the normal group， body weight and serum and hepatic levels of TC， TG， and LDL-C were significantly increased in the model group （P<0.01）. Liver histopathology showed unevenly distributed round lipid droplets in the hepatocyte cytoplasm， accompanied by inflammatory cell aggregation. Flow cytometry showed that the proportion of CD86-positive cells was significantly increased， whereas the proportion of CD206-positive cells was markedly decreased （P<0.05）. Hepatic inducible nitric oxide synthase （iNOS） levels and tumor necrosis factor-α （TNF-α） mRNA expression were significantly increased， while hepatic IL-10 levels and IL-4 mRNA expression were significantly decreased （P<0.01）. The protein expression levels of Toll-like receptor 4 （TLR4）， tumor necrosis factor receptor-associated factor 6 （TRAF6）， and myeloid differentiation factor 88 （MyD88） in the liver were significantly increased （P<0.01）. Compared with the model group， body weight was reduced in the high-， medium-， and low-dose QLHQT groups and in the metformin group. Serum and hepatic TC， TG， and LDL-C levels were significantly decreased （P<0.01）. Liver histopathology showed alleviated hepatic lipid deposition， with markedly reduced lipid droplets and inflammation. Immunofluorescence and flow cytometry showed that the proportions of CD86-positive cells were significantly decreased， whereas the proportions of CD206-positive cells were significantly increased in the high-， medium-， and low-dose QLHQT groups （P<0.05）. Hepatic iNOS levels and TNF-α mRNA expression were significantly decreased （P<0.01）， whereas hepatic IL-10 levels and IL-4 mRNA expression were significantly increased （P<0.01）. The hepatic protein expression levels of TLR4， TRAF6， and MyD88 were significantly decreased， while signal transducer and activator of transcription 6 （STAT6） phosphorylation was significantly increased （P<0.05， P<0.01）. There was no statistically significant difference in total STAT6 protein expression. ConclusionQLHQT effectively ameliorates hepatic inflammation in NASH mice， and the mechanism may involve STAT6- and TLR4-mediated signaling pathways driving polarization of M1 macrophages toward the M2 phenotype.

[Objective] To evaluate the clinical application value of intrauterine perfusion with platelet-rich plasma (PRP) combined with in vitro fertilization-frozen-thawed embryo transfer (IVF-FET) in patients with chronic endometritis (CE). [Methods] A randomized controlled trial (RCT) was conducted, enrolling 60 CE patients undergoing artificial cycle frozen embryo transfer at our hospital from January 2022 to January 2024. Participants were randomly divided into three groups: Group A (routine frozen embryo transfer, n=20), Group B (routine frozen embryo transfer + one PRP intrauterine perfusion, n=20), and Group C (routine frozen embryo transfer + two PRP intrauterine perfusions, n=20). Endometrial thickness during the transformation and transplantation phases, uterine artery pulsatility index (PI), resistance index (RI), systolic peak velocity/end-diastolic velocity (S/D) ratio during transplantation, serum levels of IL-2, IL-4, IL-6, IL-10, and TNF-α during transplantation, as well as biochemical pregnancy rate, clinical pregnancy rate, live birth rate, and early miscarriage rate were compared across groups. [Results] No significant differences in endometrial thickness were observed among the three groups during the transformation phase (P>0.05). During the transplantation phase, endometrial thickness in Groups C and B was significantly higher than in Group A[9.54 (8.96-10.22) and 8.90 (8.34-9.72) vs 8.37 (7.89-8.75) mm, P<0.05], with Group C showing greater thickness than Group B (Z=3.733, P<0.05). Endometrial thickness in Groups C and B during transplantation was significantly increased compared to their respective transformation phases (Z=2.191, 2.462; P<0.05). Groups C and B exhibited lower PI, RI, and S/D values than Group A[PI:1.87 (1.77-1.97), 1.94 (1.88-2.15) vs 2.43 (2.35-2.49); RI:0.75 (0.73-0.77), 0.78 (0.75-0.81) vs 0.84 (0.83-0.86); S/D:2.61 (2.33-3.42), 3.01 (2.20-3.93) vs 3.72 (3.06-4.49); P<0.05]. Group C demonstrated lower PI and RI than Group B (P<0.05). IL-2 levels in Groups C and B were higher than in Group A[3.88 (2.71-5.01), 3.59 (2.73-4.38) vs 3.16 (2.11-3.25) ng/L, P<0.05], while IL-4, IL-6, IL-10, and TNF-α levels were significantly lower (IL-4: Z=1.428, 2.421; IL-6: Z=1.754, 2.435; IL-10: Z=1.754, 2.854; TNF-α: Z=1.961, 1.765; P<0.05). Group C had lower IL-6 levels than Group B (Z=3.976, P<0.05). Biochemical pregnancy rate, clinical pregnancy rate, and live birth rate in Group C were significantly higher than in Group A (75% vs 40%, 70% vs 35%, 60% vs 20%, P<0.05). No significant differences in early miscarriage rates were observed among the groups (χ²=3.750, P>0.05). [Conclusion] Intrauterine autologous PRP perfusion in CE patients enhances pregnancy and live birth rates, improves pregnancy outcomes post-FET, and demonstrates superior efficacy in endometrial repair and receptivity with two PRP perfusions compared to a single perfusion. This provides a safe and effective therapeutic option for optimizing outcomes in CE patients with prior implantation failure.

Objective To analyze dynamic contrast-enhanced MRI (DCE-MRI) radiomic features using machine learning algorithms, and to develop and validate a predictive model for HER-2 status in breast cancer. Methods The DCE-MRI images of 272 treatment-naive female patients with breast cancer between 2020 and 2022 were included in this study. Regions of interest (ROIs) were manually segmented using 3d-Slicer software, and radiomic features were extracted. All patients were randomly divided into training sets or validation sets at a ratio of 4∶1. The least absolute shrinkage and selection operator (LASSO) algorithm was used for feature screening on the training set, followed by the development of predictive models using six machine learning algorithms. Internal cross-validation was performed to compare the performance differences between the models. The best-performing model was selected, trained on the training set, and evaluated on the validation set. Evaluation metrics included area under the curve (AUC), sensitivity, specificity, precision, and recall rate. Results The clinical data of patients in the training set and validation set showed no significant differences. Five features were identified by the LASSO algorithm. With these features, six machine learning models were developed on the training set, and their predictive performance was internally cross-validated using the bagging method. XGBoost model had the highest mean AUC (0.696), followed by RF model (0.690); XGBoost model had the highest mean precision (0.756), followed by LR and RF models. Therefore, XGBoost was the optimal model. An HER-2 predictive model was built using the XGBoost algorithm on the training set and applied to the validation set. The AUC, precision, sensitivity, and specificity of the predictive model on the validation set were calculated, and ROC curves, precision-recall curves, calibration curves, and decision-making curves were plotted. Conclusion This study constructed and evaluated different DCE-MRI radiomics-based machine learning models for predicting HER-2 status in breast cancer. Among them, XGBoost algorithm performed the best and has the potential to become a new non-invasive method for preoperative prediction of HER-2 status, providing reliable evidence for personalized clinical diagnosis and treatment.

Objective:To investigate the effect of up-regulation of microRNA-31(miRNA-31)on the osteogenic differentiation of dental pulp stem cells(DPSCs),and to elucidate its possible mechanism.Methods:The DPSCs in logarithmic growth phase were divided into control group(no treatment),NC group(transfected with random sequence control),Agomir group(transfected withmiR-31 mimic agomiR-31),and combination group(transfected with miR-31 mimic agomiR-31 and added with XAV939).After 48 h of transfection,real-time fluorescence quantitative PCR(RT-qPCR)was used to detect the expression levels of miR-31 in the DPSCs in various groups.MTT assay was used to detect the proliferation abilities of the DPSCs in various groups.Alizarin red staining was used to detect calcium deposition in the DPSCs in various groups.Alkaline phosphatase(ALP)staining was used to detect the degree of osteogenic differentiation of the DPSCs in various groups.Western blotting method was used to detect the expression levels of proteins related to the wingless-type MMTV integration site family(Wnt)/β-catenin signaling pathway in the DPSCs in various groups.Results:There were no significant differences in the miR-31 expression level,the cell proliferation abilities at 24,48 and 72 h,the ratio of calcified region,and the ALP ability between control group and NC group(P＞0.05).Compared with control group and NC group,the expression level of miR-31,the cell proliferation abilities at 24,48 and 72 h,the ratio of calcified region,and the ALP activity in the DPSCs in Agomir group were increased(P＜0.05).Compared with Agomir group,the expression level of miR-31,the cell proliferation abilities at 24,48 and 72 h,the ratio of calcified region,and the ALP activity in the DPSCs in combination group were decreased(P＜0.05).There were no significant difference in the expression levels of glycogen synthase kinase 3β(GSK-3β),β-catenin and Runt-associated transcription factor 2(Runx2)in the DPSCs between control group and NC group(P＞0.05).Compared with control group and NC group,the expression level of GSK-3β protein in the DPSCs in Agomir group was decreased(P＜0.05),and the expression levels of β-catenin and Runx2 proteins in the DPSCs were increased(P＜0.05).Compared with Agomir group,the expression level of GSK-3β protein in the DPSCs in combination group was increased(P＜0.05),while the expression levels of β-catenin and Runx2 proteins were decreased(P＜0.05).Conclusion:Up-regulation of miR-31 can promote the proliferation and osteogenic differentiation of DPSCs,and its mechanism may be related to the activation of Wnt/β-catenin signaling pathway.

The scientific interpretation of the theory of medicinal properties of TCM is a research hotspot in the modernization of TCM. It is of great value to clarify the property and degree of cold and heat in Chinese materia medica for guiding clinical precise medication. In recent years, the research on the cold and heat properties of Chinese materia medica has been carried out at the animal, cell and molecular levels. Based on the objective material basis of medicinal properties, from the perspective of biological effects such as thermodynamics and multiomics; with the help of infrared thermal imaging and other technologies for analysis; forming a variety of research models such as "property-structure relationship". Related research has developed from a single material component or index to a new model that tends to integrate multi-source information and multi-dimensional data. However, how to deal with the problems of large sample size, strong redundancy, high heterogeneity, and how to integrate multi-dimensional information are still research difficulties. With its powerful computing and learning ability, machine learning can show good discrimination and prediction ability in the study of cold and hot properties of Chinese materia medica, and play an important role in the study of cold and hot properties of Chinese materia medica. At present, the most widely used algorithms are linear discriminant analysis, Logistic discriminant analysis, support vector machine, decision tree, random forest and so on. The data dimension of the existing research needs to be enriched, the algorithm has room for further optimization, and a more detailed discriminant model of cold and hot properties of Chinese materia medica needs to be established.

Objective:To investigate the effects and mechanism of Jianpi Yangzheng Xiaozheng Prescription in lung pre-metastatic niche formation of gastric cancer by regulating the content of programmed death receptor ligand 1 (PD-L1) in gastric cancer exosomes.Methods:Totally 30 615 mice were divided into normal group, model group, Jianpi Yangzheng Xiaozheng Prescription low- and high-dosage groups, and exosome inhibitor group according to random number table method, with 6 mice in each group. The mouse model of lung pre-metastatic niche formation of gastric cancer was established by tail vein injection of MFC cells. After 12 days of administration, the lung metastasis under the intervention of Jianpi Yangzheng Xiaozheng Prescription was evaluated by observing the infiltration of tumor into lung tissue, weighing lung weight and hematoxylin-eosin (HE) staining of lung tissue. Mouse serum exosomes were extracted by ExoQuick kit and identified by transmission electron microscopy and nanoparticle tracking analysis (NTA). The content of PD-L1 in serum exosomes and the expression levels of serum transforming growth factor-β (TGF-β), interleukin-10 (IL-10) and interleukin-6 (IL-6) were detected by enzyme-linked immunosorbent assay (ELISA). Immunofluorescence was used to detect the phenotype of myeloid-derived suppressor cells (MDSC) and tumor-associated macrophages (TAM) and the expression of PD-L1 in MDSC and TAM.Results:Compared with the model group, after the intervention of Jianpi Yangzheng Xiaozheng Prescription, the lung metastases of mice were reduced ( P<0.05), and the weight of metastatic tumors decreased ( P<0.05). PD-L1 in serum exosomes and the proportion of MDSC and M2 TAM in lung tissue microenvironment decreased, as well as the expression of PD-L1 on MDSC and TAM decreased ( P<0.05). The serum levels of IL-10 and IL-6 significantly decreased ( P<0.05). Conclusion:Jianpi Yangzheng Xiaozheng Prescription can reduce the proportion of MDSC and M2 TAM and the expression level of PD-L1 in the microenvironment of lung tissue before metastasis by inhibiting the transmission of gastric cancer exosome PD-L1 to MDSC and TAM, and reduce the contents of inflammatory factorsIL-10 and IL-6, so as to play a role in improving the microenvironment before lung metastasis of gastric cancer.

Objective To observe the rules of medication and clinical application of Zhongwan(RN12)point,thus to provide reference for the selection of acupoints in clinical treatment.Methods Collect the Zhongwan point-involved prescriptions in the literature of the last 20 years in China National Knowledge Infrastructure(CNKI),China Science and Technology Journal Database(VIP)and Wanfang Data Knowledge Service Platform,conduct strict screening,organize and record all the acupoints involved in the prescriptions,of which met the acupoint selection criteria,into Excel tables,then use IBM SPSS Statistics 25.0 software,IBM SPSS Modeler 18.0 software,Cytoscape 3.10.1 software,apriori algorithm to analyze the rules of medication and clinical application of Zhongwan point.Results After screening,a total of 781 articles with 830 acupoint-involved prescriptions were included,involves 183 acupoints and 135 diseases.With the leading five acupoints which ranked in decending order of selection was as follows:Zusanli(ST36),Neiguan(PC6),Tianshu(ST25),Guanyuan(BL26)and Qihai(RN6).The distribution of acupoints with the highest frequency of use in combination acupoints was Zusanli(61.205%support),and the meridians with a higher frequency of use in Zhongwan point-involved prescriptions were the foot-yangming stomach meridian,the foot-taiyang bladder meridian,and the conception vessel(CV),with the combination acupoints dominated by the specific acupoints of Xiahe points,He points,front-Mu points,collateral points,Shu Points,and original points,the advantageous diseases were characterized by intractable hiccups,gastritis,functional dyspepsia and so on.Among them,the diseases pertain to the digestive system were the most involved,followed by endocrine system diseases.Conclusion The data mining analysis yielded that there are certain rules to be followed in the acupoints combination of Zhongwan point,and it exerts some efficacy in the treatment of certain advantageous diseases,which can provide references for clinical treatment and scientific research.