ObjectiveThis study aims to investigate the therapeutic effects of Wenweishu granule （WWSG） on functional dyspepsia （FD） with spleen-stomach deficiency cold syndrome in rats by integrating network pharmacology， molecular docking， and animal experiments. MethodsActive components and corresponding targets of WWSG were collected from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and the Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine （BATMAN-TCM）. Disease-related targets for FD with spleen-stomach deficiency cold syndrome were screened using GeneCards and the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP）. Core therapeutic targets were identified via Cytoscape and validated by molecular docking. A rat model of FD with spleen-stomach deficiency cold syndrome was established using vinegar gavage combined with tail-clamping. The rats were randomly divided into a model group， low-， medium-， and high-dose WWSG groups （2.0， 4.0， 8.0 g·kg^-1）， a domperidone group （3.0 mg·kg^-1）， a Fuzi Lizhong pillwan （0.8 g·kg^-1）， and a normal control group （n=10 per group）. Drugs were administered once daily by gavage for 14 consecutive days. After treatment， body weight， symptom scores， and gastrointestinal motility indices were recorded. Gastric and duodenal pathologies changes were observed via hematoxylin-eosin （HE） staining. Brain-gut peptides were measured in serum and tissue using enzyme-linked immunosorbent assay （ELISA）. Immunohistochemistry and Western blot were performed to assess stem cell factor （SCF） and receptor tyrosine kinase （c-Kit） protein expression in gastric tissues. ResultsA total of 305 drug targets， 1 140 disease targets， and 116 overlapping targets were identified. Cytoscape analysis revealed 104 core targets. Enrichment analysis indicated that the SCF/c-Kit signaling pathway was the key mechanism. Molecular docking confirmed a strong binding affinity between active components of WWSG and SCF/c-Kit proteins （binding energy<-5.1 kcal·mol^-1）. Compared with the normal group， model rats exhibited slower weight gain （P<0.05）， reduced gastric emptying and intestinal propulsion （P<0.01）， mild gastric mucosal shedding， duodenal inflammatory cell infiltration， decreased levels of gastrin （GAS）， 5-hydroxytryptamine （5-HT）， and vasoactive intestinal peptide （VIP） （P<0.05， P<0.01）， and elevated somatostatin （SS） expression （P<0.05， P<0.01）. WWSG treatment ameliorated weight gain， symptom scores， and low-grade inflammation in gastric/duodenal tissues. High-dose WWSG significantly improved gastric emptying and intestinal propulsion， upregulated GAS， 5-HT， and VIP， and downregulated SS expression in serum and tissues （P<0.05， P<0.01）. Immunohistochemistry and Western blot demonstrated that SCF and c-Kit protein expression was decreased in the model group （P<0.05， P<0.01）， which was reversed by WWSG intervention （P<0.05）. ConclusionWWSG exerts therapeutic effects on FD with spleen-stomach deficiency cold syndrome in rats， potentially by regulating the SCF/c-Kit signaling pathway to enhance gastrointestinal motility.

The pharmaceutical industry faces challenges in quality digitization for complex multi-stage processes, especially in small-sample systems. Here, an intelligent quality prediction and diagnostic (IQPD) framework was developed and applied to Tong Ren Tang's Niuhuang Qingxin Pills, utilizing four years of data collected from four production units, covering the entire process from raw materials to finished products. In this framework, a novel path-enhanced double ensemble quality prediction model (PeDGAT) is proposed, which combines a graph attention network and path information to encode inter-unit long-range and sequential dependencies. Additionally, the double ensemble strategy enhances model stability in small samples. Compared to global traditional models, PeDGAT achieves state-of-the-art results, with an average improvement of 13.18% and 87.67% in prediction accuracy and stability on three indicators. Additionally, a more in-depth diagnostic model leveraging grey correlation analysis and expert knowledge reduces reliance on large samples, offering a panoramic view of attribute relationships across units and improving process transparency. Finally, the IQPD framework integrates into a Human-Cyber-Physical system, enabling faster decision-making and real-time quality adjustments for Tong Ren Tang's Niuhuang Qingxin Pills, a product with annual sales exceeding 100 million CNY. This facilitates the transition from experience-driven to data-driven manufacturing.

Background The high-quality development of manufacturing in China has spurred industrial transformation and upgrading, placing higher demands on the skills of employees in the electronic manufacturing industry. This situation may induce psychological health problems such as job burnout and depressive symptoms in the employees, and also lead to insomnia, which has become a public health problem that urgently needs attention and solution. Objective To investigate the relationship between job burnout, depressive symptoms, and insomnia among employees in the electronic manufacturing industry. Methods A total of 3034 employees from four electronic manufacturing companies in Beijing City, Shanghai City, and Guangdong Province were selected using judgment sampling from September to November 2019. The Maslach Burnout Inventory-General Survey, Patient Health Questionnaire-9, and Self-Administered Sleep Questionnaire were used to collect data. The correlation between job burnout, depressive symptoms, and insomnia was evaluated by hierarchical regression. Results A total of 3034 survey questionnaires were distributed, and 2614 valid questionnaires were collected, with a response effectiveness rate of 86.2%. The reporting rates of job burnout, depressive symptoms, and insomnia among employees in the electronic manufacturing industry were 47.2%, 19.5%, and 29.1%, respectively. The reporting rates of insomnia of employees in the job burnout group and depressive symptoms group were higher than those in the non-job burnout group and non-depressive symptoms group (35.3% vs. 23.6%, 47.2% vs. 24.7%, P＜0.001). The results of hierarchical regression showed that job burnout explained 2.8% of the variation of insomnia (P<0.001), and the inclusion of depressive symptoms explained 1.2% of the variation of insomnia (P<0.001). Conclusion Job burnout and depressive symptoms could both affect insomnia of employees in the electronic manufacturing industry.

In fixed prosthodontics, clear exposure of the preparation margin is the prerequisite for obtaining accurate digital impressions and improving the marginal fit of restorations. To resolve the issues associated with the cord retraction technique, such as pain, acute injury, and prolonged procedural time, this study proposes a new technology for intraoral digital impression taking with pneumatic gingival retraction. The new scanning head blows a high-speed airflow that instantaneously separates the free gingiva, locally exposing the subgingival preparation margin. Combined with the farthest point preservation stitching algorithm based on the distance from the normal vector and high-speed laser scanning photography, it achieves global preparation edge data and gingival reconstruction, realizing painless, non-invasive, and efficient precise acquisition of the preparation margin. Using this new technique, a patient with a full porcelain crown restoration on a posterior tooth was treated. The digital impression revealed a clear margin of the preparation, and the crown made from this data has a good marginal fit.

Objective: To investigate the levels of cytidine/uridine monophosphate kinase 2(CMPK2) expression in CD4+T cells of systemic lupus erythematosus(SLE) patients and its correlation with clinical indicators. Additionally, to explore whether CMPK2 can induce pyroptosis in CD4+T cells of SLE patients through NLRP3, potentially providing a new target for the diagnosis and treatment of SLE. Methods: RT-qPCR and Western blot analyses were used to assess the gene and protein expression levels of CMPK2 in SLE CD4+T cells and healthy controls(HC). Pearson or Spearman correlation analysis was performed to evaluate the relationship between CMPK2 mRNA expression levels and clinical indicators. Subsequently, the expression levels of pyroptosis-related proteins, including NLRP3, apoptosis-associated speck-like protein containing a CARD(ASC), caspase-1, gasdermin D(GSDMD), and the N-terminal domain of GSDMD(GSDMD-N), were examined in SLE CD4+T cells and HC. Furthermore, the protein expression levels of NLRP3, ASC, caspase-1, GSDMD, and GSDMD-N were detected after silencingCMPK2in SLE CD4+T cells. Results: CMPK2 expression was significantly elevated in SLE CD4+T cells, exhibiting a positive correlation with SLE disease activity index(SLEDAI), anti-dsDNA antibody, anti-nucleosome antibody, anti-C1q antibody, and a negative correlation with complement C3 and C4 levels. Additionally, the expression levels of pyroptosis-related proteins, including NLRP3, ASC, caspase-1, GSDMD, and GSDMD-N significantly increased in SLE CD4+T cells(P<0.05), Moreover, the levels of cytokines IL-1β and IL-18 in the cell culture supernatants were elevated, and there was a notable increase in the rate of cellular pyroptosis(P<0.05). Silencing CMPK2 led to a reduction in the levels of these markers(P<0.05). Conclusion CMPK2 is highly expressed in SLE CD4+T cells and may serve as a diagnostic marker for SLE. Moreover, it is likely involved in the pathogenesis of SLE by promoting CD4+T cell pyroptosis through NLRP3.

Objective:To investigate the value of radiomics signatures based on 18F-FDG PET/CT for predicting molecular classification and Ki-67 expression of breast cancer. Methods:A total of 134 female patients ((55.4±13.3) years) who underwent 18F-FDG PET/CT examination and were diagnosed with breast cancer by pathology in the First Affiliated Hospital of Soochow University from April 2016 to May 2023 were retrospectively enrolled. LIFEx software was used to extract radiomics features and the least absolute shrinkage and selection operator (LASSO) algorithm and independent-sample t test were used to screen potentially meaningful features and calculate the radiomics score, which were considered as radiomics models. Clinical characteristics were selected by supervised logistic regression and clinical models were established. Radiomics features and clinical characteristics were incorporated to logistic regression analysis to establish combined models. ROC curves were drawn and the differences among AUCs were analyzed by Delong test. Results:Among 134 patients, 22 were with triple negative breast cancer (TNBC), 47 were human epidermal growth factor receptor 2 (HER2) over-expression type, 37 were Luminal A type and the rest 28 were Luminal B type. The expression of Ki-67 was high in 85 patients, and was low in the rest 49 patients. The AUCs (95% CI) of the combined models for predicting TNBC, HER2 overexpression type, Luminal A type and Ki-67 expression were 0.843(0.770-0.900), 0.808(0.723-0.876), 0.825(0.711-0.908) and 0.836(0.762-0.894), respectively, which were higher than those of clinical models ( z values: 1.97-3.06, all P<0.05). Conclusion:The predictive model combining radiomics signatures based on 18F-FDG PET/CT and clinical characteristics can well predict the molecular classification and Ki-67 expression level of breast cancer.

Objective To explore the mechanism of Zishen Jianpi Huayu Tablets(Corni Fructus,Notoginseng Radix et Rhizoma,Astragali Radix,Puerariae Lobatae Radix,Spatholobi Caulis,Rehmanniae Radix)in the treatment of diabetic retinopathy(DR)by means of network pharmacology and molecular docking technique,and verified by in vitro experiments.Methods The active components of Zishen Jianpi Huayu Tablets and their corresponding target proteins were screened using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and the BATMAN-TCM database.Drug target proteins were converted to their corresponding gene names through the UniProt database.DR-related targets were searched using"diabetic retinopathy"as a keyword in GeneCards,DrugBank,OMIM,and TTD databases.Common targets between the disease and the drug were identified using the Venny tool.These common targets were analyzed using the String database,a protein-protein interaction(PPI)network was constructed.Topological heterogeneity analysis was performed using Cytoscape 3.9.1 to select core targets and create a PPI network diagram.These common targets were entered into the Metascape database for Gene Ontology(GO)function analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis to identify potential action pathways.Molecular docking of the main active components and core targets was performed using Auto Dock tools software,followed by further experimental validation.The CCK-8 assay was used to assess the effect of Zishen Jianpi Huayu Tablet medicated serum on the cell viability of Human Retinal Microvascular Endothelial Cells(HRmECs)under high glucose conditions,and RT-qPCR was used to measure the expression of IL-1β,AKT1,VEGFA,and TP53 mRNA in HRmECs.Results(1)The effective components and corresponding target proteins of Zishen Jianpi Huayu Tablets were screened by Traditional Chinese Medicine System Pharmacology Database and Analysis Platform(TCMSP)and BATMAN-TCM database.The disease-related targets of DR were searched by GeneCards,OMIM and TTD databases.The use of VENNY platform for drug active components target and DR disease-related target to take intersection(common target),that is,Zishen Jianpi Huayu Tablets in the treatment of DR potential target.The network of"drugs-active components-common targets"was constructed to screen out the key active components of Zishen Jianpi Huayu Tablets in the treatment of DR.Import the common target into STRING database,obtain the PPI network relationship,and screen out the core target.Metascape platform was used to analyze the GO function and KEGG pathway enrichment of the common targets.The key active components and core targets were verified by Autodock 4 software for molecular docking.(2)The drug-containing serum and blank serum of Zishen Jianpi Huayu Tablets was prepared.Human retinal microvascular endothelial cells(HRmECs)were randomly divided into 5 groups:the control group(low-sugar DMEM medium+10%blank serum),high-glucose group(high-sugar DMEM medium+10%blank serum)and Zishen Jianpi Huayu Tablets containing low-,medium-and high-dose serum(high-sugar DMEM medium+10%low-,medium-and high-dose drug containing serum)were detected after 48 hours of culture.The proliferative activity of HRmECs cells was detected by CCK-8 method,and the mRNA expressions of IL-1β,AKT1,VEGFA and TP53 in HRmECs cells were detected by RT-qPCR method.Conclusion Zishen Jianpi Huayu Tablets may act on core targets such as IL-1β,IL-6 and VEGFA,as well as key pathways such as NF-κB signaling pathway,AGE-RAGE signaling pathway and PI3K-AKT pathway through various active components such as quercetin,kaempferol and rehmannia flavonoids,so as to play a therapeutic role in DR.

Objective To explore the current status of clinical inertia in the treatment of patients with type 2 diabetes mellitus (T2DM) in the suburbs of Shanghai and analyze its risk factors. Methods A total of 1, 804 T2DM patients who visited the Endocrinology and Metabolism Clinic of Shanghai Sixth People's Hospital from November 2022 to November 2023 were selected as research objects. Patients were divided into clinical inertia group and non-clinical inertia group based on whether clinical inertia occurred during their treatment, and demographic and clinical data were collected. Logistic regression analysis was used to identify risk factors for clinical inertia in the treatment of T2DM patients. Results The incidence of clinical inertia in T2DM patients was 52.00% (938/1, 804). The results of multivariate Logistic regression analysis showed that longer diabetes duration, high level of glycated hemoglobin (HbA1c), high score of the Problem Areas in Diabetes Scale(PAID) score, taking over two oral medications, shorter life expectancy, and coexisting retinopathy were risk factors for clinical inertia in the treatment of T2DM patients (P < 0.05). Conclusion The incidence of clinical inertia is high in T2DM patients during treatment in the suburbs of Shanghai. T2DM patients with poor glycemic control, longer disease duration, high level of psychological distress, taking over two oral medications, shorter life expectancy, and coexisting retinopathy are more prone to occur clinical inertia.

Congenital disorder of glycosylation (CDG) is a group of genetic metabolic diseases involving multiple organs. A case of CDG caused by SLC35A2 gene mutation was diagnosed. The clinical characteristics included spasms, developmental retardation and multiple malformations. Video-electroencephalogram showed dysrhythmia. A de novo heterozygous missense mutation of SLC35A2 gene was detected by whole exome sequencing: c.844G>A (p.Gly282Arg). It was predicted to be likely pathogenic according to American College of Medical Genetics and Genomics guidelines which had not been reported in China.