Data analysis models may assist the transmission of traditional Chinese medicine （TCM） experience and clinical diagnosis and treatment， and the possibility of constructing a “data-knowledge” dual-drive model was explored by taking gastric precancerous state as an example. Data-driven is to make clinical decisions around data analysis， and its syndrome-differentiation decision-making research relies on hidden structural models and partially observable Markov decision-making processes to identify the etiology of diseases， syndrome elements， evolution of pathogenesis， and syndrome differentiation protocols； knowledge-driven is to make use of data and information to promote decision-making and action processes， and its syndrome-differentiation decision-making research relies on convolutional neural networks to improve the accuracy of local disease identification and syndrome differentiation. The “data-knowledge” dual-driven model can make up for the shortcomings of single-drive numerical simulation accuracy， and achieve a balance between local disease identification and macroscopic syndrome differentiation. On the basis of previous research， we explored the construction method of diagnostic assisted decision-making platform for gastric precancerous state， and believed that the diagnostic and decision-making ability of doctors can be extended through the assistance of machines and algorithms. Meanwhile， the related research methods were integrated and the core features of gastric precancerous state based on TCM syndrome differentiation and endoscopic pathology diagnosis and prediction were obtained， and the elements of endoscopic pathology recognition based on TCM syndrome differentiation were explored， so as to provide ideas for the in-depth research and innovative application of cutting-edge data analysis technology in the field of intelligent TCM syndrome differentiation.

Decoction is the most commonly used dosage form in the clinical treatment of traditional Chinese medicine (TCM). During boiling, the violent movement of various active ingredients in TCM creates molecular forces such as hydrogen bonding, π-π stacking, hydrophobic interactions and electrostatic interactions, which results in the formation of self-assembled aggregates in decoction (SADs), including particles, gels, fibers, etc. It was found that SADs widely existed in decoction with biological activities superior to both effective monomers and their physical mixtures, providing a new idea to reveal the pharmacodynamic material basis of Chinese herbal medicine from the perspective of component interactions-phase structure. Recently, SADs have become a novel focus of research in TCM. This paper reviewed their relevant studies in recent years and found some issues to be concerned in the research, such as the polydispersity of decoction system, instability of active ingredient interactions during boiling, uncertainty of the aggregates self-assembly rules, and stability, purity, yield of the products. In this regard, some solutions and new ideas were presented for the integrated development and clinical application of SADs.

Objective To investigate the therapeutic effects and mechanisms of Maxing Shigan Decoction on cough variant asthma(CVA)rats.Methods Sixty rats were randomly divided into normal group,model group,low and high dose groups of Maxing Shigan Decoction,and high-dose of Maxing Shigan Decoction + signal transducer and activator of transcription 3(STAT3)activator Colivelin(Col)group,12 rats in each group.Except for the normal group,the CVA model was constructed by intraperitoneal injection of ovalbumin combined with moxa fumigation in all other groups of rats.After the corresponding treatment,the rats were observed for signs and cough counts,airway resistance(RE)was detected by pulmonary function meter,eosinophils(EOS)were counted by Diff-Quik staining,histopathological features of the lungs and bronchial tubes were observed by hematoxylin-eosin(HE)staining method,and the lung tissues were detected by enzyme-linked immunosorbent assay(ELISA)for monocyte chemotactic protein 1(MCP-1),and tumor necrosis factor α(TNF-α),and the protein expression levels of interleukin 6(IL-6),STAT3,and transient receptor potential vanilloid-1 channel(TRPV1)were detected by Western Blot.Results Compared with the normal group,rats in the model group showed obvious asthma symptoms,severe inflammatory cell infiltration was seen in the lung tissue,bronchial epithelial cell necrosis,ciliated adhesion,mucus,and RE,EOS number,MCP-1 and TNF-α contents,and protein expression levels of IL-6,STAT3,TRPV1 were elevated(P＜0.05);compared with the model group,rats in the low-and high-dose groups of Maxing Shigan Decoction showed significant improvement in asthma symptoms,reduction in lung and bronchial injury,and dose-dependent reduction in RE,EOS number,MCP-1 and TNF-α contents,and protein expression levels of IL-6,STAT3,and TRPV1(P＜0.05);compared with the high-dose group of Maxing Shigan Decoction,the rats in the high-dose Maxing Shigan Decoction+Col group showed increased asthma,increased lung and bronchial injury,and increased RE,EOS number,MCP-1 and TNF-α contents,and protein expression levels of IL-6,STAT3,and TRPV1(P＜0.05).Conclusion Maxing Shigan Decoction can effectively improve cough variant asthma in rats,and its mechanism is related to the inhibition of IL-6/STAT3 signaling pathway and the high expression of TRPV1.

Objective:To investigate the application of (4R)-4-(3-[ 18F]fluoranyl-5-fluorophenyl)-1-((3-methylpyridin-4-yl)methyl)pyrrolidin-2-one( 18F-SynVesT-1), a synaptic vesicle glycoprotein 2A (SV2A) radioactive tracer, in patients with Alzheimer′s disease (AD). Methods:A total of 20 AD patients (2 males, 18 females, age (66.4±8.1) years) with positive β-amyloid (Aβ) deposition and 20 normal controls (NC; 9 males, 11 females, age (62.6±8.6) years ) without Aβ deposition were retrospectively recruited from Huashan Hospital, Fudan University between December 2021 and December 2022. All of them underwent 18F-SynVesT-1 PET/MR and 18F-Florbetapir (AV45) PET/CT scans. Preprocessing of brain 18F-SynVesT-1 PET images was carried out using statistical parametric mapping (SPM). The differences of the uptke of 18F-SynVesT-1 (synaptic density) between two groups based on ROI were compared by using either the independent-sample t test or Mann-Whitney U test. Spearman rank correlation analysis was performed to assess the relationship between synaptic density and cognitive performance. For voxelwise analysis, a general linear model was constructed to analyze differences in synaptic density between the two groups using the independent-sample t test. Furthermore, a multiple linear regression model was developed to explore the relationship between synaptic density and cognitive performance. Results:Compared to the NC group, the AD group exhibited significant widespread reduction in synaptic density across the cortical regions ( P<0.05, false discovery rate (FDR)-corrected), particularly in the medial temporal lobe (0.84±0.09 vs 1.04±0.09; t=-6.95, P<0.001), lateral temporal lobe (1.15±0.13 vs 1.31±0.08; t=-4.56, P<0.001), and lateral parietal lobe (1.24(1.04, 1.26) vs 1.32(1.23, 1.39); z=-3.25, P=0.001). Moreover, synaptic density in extensive cortical regions showed a positive correlation with mini-mental state examination (MMSE) and Montreal cognitive assessment-basic (MoCA-B) scores ( P<0.05, FDR-corrected). Notably, significant associations were observed between MMSE and MoCA-B scores and synaptic density in the lateral temporal lobe ( rs values: 0.71, 0.74, both P<0.001) and medial temporal lobe ( rs values: 0.71, 0.74, both P<0.001). Conclusions:18F-SynVesT-1 PET imaging is a valuable tool for evaluating synaptic density, specifically in the context of AD. The observed widespread reduction in synaptic density across cortical regions of patients with AD are closely related to cognitive decline.

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To investigate the effects of Astragalus polysaccharides(HPS)on farnitol X receptor(FXR)-small heterodimer chaperone receptor(SHP)signaling pathway and key proteins of glucose and lipid metabolism in diabetic rats.Methods Twelve male Wistar rats were randomly selected as blank group,and the remaining 60 rats were fed with a one-time intrabitoneal injection of streptozotocin(STZ,50 mg·kg-1)combined with a high-sugar and high-fat diet to replicate the diabetic rat model.The model rats were randomly divided into model group,positive control group(400 mg·kg-1·d-1 Bifidobacterium quadruple viable bacterial tablet suspension),experimental-H,-M,-L groups(200,100 and 50 mg·kg-1·d-1 HPS suspension),respectively.Blank group and model group were given equal volume of pure water once a day for 8 weeks.Blood glucose(Glu)was measured before and after gavage.Real-time fluorescent polymerase chain reaction(RT-PCR),Western blot were used to detect the mRNA and protein expression level of FXR,SHP,antiperoxisomal proliferator-activated receptor α(PPARα),antiphosphoenolpyruvate carboxylkinase(PEPCK),sterol regulatory receptor binding protein-1c(SREBP-1c),glucose 6 phosphatase(G6Pase).Results Glu levels in normal group,model group,positive control group and experimental-H group after treatment were(7.66±0.61),(29.25±1.64),(23.31±3.02),(19.31±5.13)mmol·L-1,respectively;the relative expression levels of FXR mRNA in liver tissues were 1.00±0.04,0.44±0.03,0.61±0.06,0.87±0.03,respectively;the relative expression levels of SHP mRNA were 1.00±0.04,0.40±0.01,0.67±0.01,0.67±0.02;the relative expression levels of G6Pase mRNA in liver tissues were 1.00±0.06,3.00±0.08,1.87±0.03,1.44±0.05,respectively;the relative expression levels of PEPCK mRNA in liver tissues were 1.00±0.04,1.88±0.03,1.31±0.02,1.23±0.04,respectively;the relative expression levels of SREBP-1c mRNA in liver tissues were 1.00±0.04,1.90±0.01,1.26±0.03,1.06±0.04;the relative expression levels of PPARα mRNA in liver tissues were 1.00±0.02,0.16±0.01,0.45±0.01,0.96±0.03,respectively.Compared with blank group,positive control group and experimental-H group,there were statistically significant differences in the above indexes between model group and blank group(all P＜0.01).The protein expression trend of FXR,SHP,G6Pase,PEPCK,SREBP-1c,PPARα was consistent with mRNA expression.Conclusion HPS may regulate FXR-SHP signaling pathway in liver tissue,inhibit the expression of key proteins of glucose and lipid metabolism,promote lipid oxidation,improve Glu and protect liver tissue in diabetic rats.

Objective: To observe the clinical pathology features, and immune microenvironment of HER-2 intratumoral heterogeneity breast cancer. Methods: Thirty cases of HER-2 intratumoral heterogeneous breast cancer were retrospectively analyzed in Tianjin Medical University Cancer Institute and Hospital from November 2017 to June 2020. HER-2 expression was detected by immunohistochemistry and verified by dual color silver-enhanced in-situ hybridization (D-SISH). HER-2 intratumoral positive and negative regions were divided. The pathological characteristics, subtype, and the level of tumor infiltrating lymphocytes (TILs) and the expression of programmed cell death-ligand 1 (PD-L1) were evaluated respectively. Results: The proportion of HER-2 positive cells of the breast cancer ranged from 10% to 90%. The pathological type was mainly invasive non-special typecarcinoma. Six cases presented different pathological types between HER-2 positive and negative regions. The HER-2-positive areas included 2 cases of carcinoma with apocrine differentiation, and the negative areas included 2 cases of invasive micropapillary carcinoma, 1 case of invasive papillary carcinoma, and 1 case of carcinoma with apocrine differentiation. In HER-2 positive regions, 17 cases were Luminal B and 13 cases were HER-2 overexpressed types. There were 22 cases of Luminal B and 8 cases of triple negative tumors in the HER-2 negative areas. The levels of TILs in HER-2 positive and negative areas accounted for 53.3% (16/30) and 26.7% (8/30), respectively, with a statistically significant difference (P=0.035). The positive expression of PD-L1 in HER-2 positive area and HER-2 negative area were 6 cases and 9 cases, respectively. Among 8 cases with HER-2 negative regions containing triple negative components, 4 cases were positive for PD-L1 expression. Conclusions: In the case of HER-2 intratumoral heterogeneity, it is necessary to pay attention to both HER-2 positive and negative regions, and evaluate subtype separately as far as possible. For HER-2 intratumoral heterogeneous breast cancer containing triple negative components, the treatment mode can be optimized by refining the intratumoral expression of PD-L1.
Humans ; Female ; Breast Neoplasms/pathology* ; Retrospective Studies ; B7-H1 Antigen/metabolism* ; Lymphocytes, Tumor-Infiltrating/pathology* ; Carcinoma ; Tumor Microenvironment ; Triple Negative Breast Neoplasms/pathology* ; Prognosis ; Biomarkers, Tumor/metabolism*

In this study, the underlying mechanism of Qiwei Guibao Granules(QWGB) in the treatment of premature ovarian fai-lure(POF) was explored by the proteomics technique. Firstly, the POF model was induced in mice by intragastric administration of Tripterygium wilfordii glycosides solution at 50 mg·kg~(-1) for 14 days. Ten days prior to the end of the modeling, the estrous cycle of mice was observed every day to evaluate the success of modeling. From the 1st day after modeling, the POF model mice were treated with QWGB by gavage every day and the treatment lasted four weeks. On the 2nd day after the end of the experiment, blood was collected from the eyeballs and the serum was separated by centrifugation. The ovaries and uterus were collected and the adipose tissues were carefully stripped. The organ indexes of the ovaries and uterus of each group were calculated. The serum estrogen(E_2) level of mice in each group was detected by ELISA. Protein samples were extracted from ovarian tissues of mice, and the differential proteins before and after QWGB intervention and before and after modeling were analyzed by quantitative proteomics using tandem mass tags(TMT). As revealed by the analysis of differential proteins, QWGB could regulate 26 differentially expressed proteins related to the POF model induced by T. wilfordii glycosides, including S100A4, STAR, adrenodoxin oxidoreductase, XAF1, and PBXIP1. GO enrichment results showed that the 26 differential proteins were mainly enriched in biological processes and cellular components. The results of KEGG enrichment showed that those differential proteins were involved in signaling pathways such as completion and coalescence cascades, focal adhesion, arginine biosynthesis, and terpenoid backbone biosynthesis. The complement and coalescence cascades signaling pathway was presumably the target pathway of QWGB in the treatment of POF. In this study, the proteomics technique was used to screen the differential proteins of QWGB in the treatment of POF in mice induced by T. wilfordii glycosides, and they were mainly involved in immune regulation, apoptosis regulation, complement and coagulation cascade reactions, cholesterol metabolism, and steroid hormone production, which may be the main mechanisms of QWGB in the treatment of POF.
Female ; Humans ; Mice ; Animals ; Primary Ovarian Insufficiency/chemically induced* ; Proteomics ; Signal Transduction ; Glycosides/adverse effects*

Galli Gigerii Endothelium Corneum (GGEC) is a commonly used traditional Chinese medicine for digestion. Its odor is unpleasant, which decreases children's compliance with taking this traditional medicine. Traditional processing methods utilize heat processing methods such as stir-frying and vinegar processing to deodorize the medicine, but this affects the activity of digestive enzymes, so there is a need to find a new method for removing the fishy odor while retaining the beneficial effect of GGEC. Here we have developed the use of supercritical CO₂ low-temperature fluid extraction to eliminate the odor while retaining the medicinal benefits. Headspace-solid-phase microextraction-gas chromatography-triple quadrupole mass spectrometry (HS-SPME/GC-QQQ-MS/MS) combined with the gas activity value method was used to determine compositional differences in the product before and after supercritical CO₂ extraction and separation. Then, based on the sensory evaluation of volunteers, combined with the analysis of volatile components, the fishy odor intensity and the types of fishy odorants were compared between the raw product, stir-fried product, vinegar product and the supercritical CO₂ extract. Pepsin and amylase activity were used to compare the differences in the digestive enzyme activities with the four forms of GGEC, and Fourier transform infrared spectroscopy (FT-IR) was used to compare the differences in the structure. We compared the content of total amino acids, digestive amino acids and bitter amino acids, and an animal model of delayed gastric emptying in mice with soybean oil, based on a phenol red indicator, was used to determine differences in the efficacy of gastric emptying in vivo. The results show that the fishy odor of GGEC powder is significantly reduced after supercritical extraction, and the substances that contribute the fishy odor are only 12.8% of the raw material. The results of FT-IR analysis show that the supercritical extract of GGEC is not changed in its material structure compared with the raw product. The digestive enzyme activity titers showed that amylase and pepsin activity in the raw products are about 3.9 and 1.4 times higher than those of stir-fried products and vinegar products. The activity titers of amylase and pepsin in the supercritical CO₂ extracts are about 2.7 and 1.3 times higher than those of stir-fried products and vinegar products, and there was no significant difference in the content of digestive-promoting amino acids in the four types of GGEC. The in vivo validation experiment showed that the average gastric emptying rates of the mice in the raw product group, the supercritical extract group, the stir-fried product group, and the vinegar product group were 69%, 59%, 40% and 51%, respectively. Compared with the stir-frying method and the vinegar-simmering method, the supercritical CO₂ fluid extraction method retained the gastric emptying effect of GGEC. In general, the supercritical CO₂ fluid low-temperature extraction method removes the fishy odor of GGEC as compared with the traditional stir-frying method and vinegar method, and retains the biologically active components and the effect on digestion of GGEC.