ObjectiveTo explore the therapeutic effect and mechanism of Xianglian Huazhuo prescription on chronic atrophic gastritis （CAG） in rats based on the Hedgehog signaling pathway. MethodsThe CAG rat model was established by sodium salicylate， N-methyl-N′-nitro-N-nitroguanidine （MNNG）， and irregular feeding. The successfully modeled rats were randomly divided into a model group （180 mg·L^-1）， a moradan group （1.4 g·kg^-1）， and Xianglian Huazhuo Prescription groups with high， medium， and low doses （36， 9， 18 g·kg^-1）， followed by drug intervention. Hematoxylin-eosin （HE） staining was used to observe morphological changes in the gastric mucosa. Transmission electron microscopy was used to observe the ultrastructure of gastric mucosa cells. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of Sonic Hedgehog （Shh）， Patched 1 （Ptch1）， and Glioma-associated oncogene homolog 1 （Gli1）. Western blot was used to detect the protein expression levels of Shh， Ptch1， and Gli1 in the gastric mucosa. Immunohistochemistry was used to observe the protein expression of the epithelial marker E-cadherin. ResultsCompared with the normal group， the CAG model group showed a reduction in gastric mucosal intrinsic glands and infiltration of inflammatory cells. The ultrastructure of gastric mucosal cells showed nuclear pyknosis， fewer mitochondria， and abnormal mitochondrial structure. The mRNA and protein expression of Shh， Ptch1， and Gli1 in the gastric mucosa were significantly decreased （P<0.05）， and E-cadherin protein expression was decreased. Compared with the model group， the intervention groups showed varying degrees of improvement in histopathological morphology and cellular ultrastructure. The mRNA and protein expression of Shh， Ptch1， Gli1， and E-cadherin increased to varying degrees. Xianglian Huazhuo Prescription upregulated the expression of key Hedgehog pathway factors and E-cadherin at both the mRNA and protein levels （P<0.05）. ConclusionXianglian Huazhuo prescription has a therapeutic effect on CAG in rats， and its mechanism may be related to activation of the Hedgehog signaling pathway and inhibition of epithelial-mesenchymal transition （EMT）.

Research on IgG4-related disease (IgG4-RD), an autoimmune condition recognized to be a unique disease entity only two decades ago, has processed from describing patients' symptoms and signs to summarizing its critical pathological features, and further to investigating key pathogenic mechanisms. Challenges in gaining a better understanding of the disease, however, stem from its relative rarity-potentially attributed to underrecognition-and the absence of ideal experimental animal models. Recently, with the development of various high-throughput techniques, "omics" studies at different levels (particularly the single-cell omics) have shown promise in providing detailed molecular features of IgG4-RD. While, the application of omics approaches in IgG4-RD is still at an early stage. In this paper, we review the current progress of omics research in IgG4-RD and discuss the value of machine learning methods in analyzing the data with high dimensionality.
Humans ; Immunoglobulin G4-Related Disease/metabolism* ; Immunoglobulin G/metabolism* ; Machine Learning ; Animals ; Proteomics/methods*

Oral squamous cell carcinoma (OSCC) accounts for over 90% of oral malignancies, with more than 370 000 new cases and approximately 188 000 deaths annually worldwide. In China, there are roughly 65 000 new cases and 35 000 deaths each year, showing a significant upward trend compared with 2015 statistics. Despite continuous advancements in treatment modalities, the 5-year survival rate remains stagnant at 50%-60%, where tumor heterogeneity and therapy resistance persist as fundamental barriers to precision oncology. To address these critical challenges, this study established a standardized bioban-king protocol for OSCC patient-derived organoids (PDOs) (Patent: Method for constructing an oral squamous cell carcinoma organoid bank, ZL202311378598.3). Through groundbreaking optimization of culture media, enzymatic digestion kinetics, and stepwise cryopreservation, we achieved a biobanking success rate exceeding 95% and pioneered synchronous cultivation of matched primary tumors, lymph node metastases, and adjacent normal mucosa from individual patients, preserving spatial heterogeneity and stromal interactions. Leveraging this platform, we developed high-throughput drug screening: Quantified heterogeneity-driven differential chemoresponse using adenosine triphosphate (ATP)-based viability assays; We discovered resistance mechanisms: Identified sialylated cancer IgG (SIA-cIgG)-mediated cis-platin resistance (primary/secondary) through PTPN13 suppression, with anti-SIA-cIgG combination therapy demonstrating synergistic efficacy. Besides, we elucidated metastatic drivers: CRISPR-Cas9-edited organoids revealed WDR54 promoted metastasis via H3K4me3/H4K16ac epigenetic reprogramming, activating epithelial-mesenchymal plasticity (EMP) and inducing partial epithelial-mesenchymal transition (pEMT). This "holographic patient-mirroring" platform provided unprecedented resolution for OSCC precision therapy and had been formally incorporated into the Chinese Stomatological Association Technical Guidelines (Technical guideline for establishing patient-derived oral squamous cell carcinoma organoid banks, CHSA 2024-08). Future integration of immune-competent organoids, 3D-bioprinted vasculature, and multi-omics-AI systems will accelerate personalized oncology. These innovations will accelerate clinical translation of personalized therapeutic regimens, ultimately bridging the gap between bench research and bedside application.
Humans ; Organoids/pathology* ; Mouth Neoplasms/genetics* ; Carcinoma, Squamous Cell/pathology* ; Tissue Banks ; Biological Specimen Banks

The virtual teaching and research department in medical colleges and universities is functional continuation and expansion of the actual teaching and research department. It serves teachers' needs, utilizes digital technology to break the constraints of regions and boundaries, and enables teachers to carry out teaching and research exchanges across disciplines, schools, and regions. This paper delves into the teaching, research, learning, and their relationships in the construction of medical virtual teaching and research department from the perspectives of policy system support, organizational structure, theoretical basis, technical support, team building, and resource gathering. By accurately analyzing the four logic principles of operational strategies, culture, media, and supply and demand, this paper preliminarily explores the innovation path for the virtual teaching and research department in medical colleges and universities that integrates cloud medical library, cloud teaching and research, and cloud practice.

Background::Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancing survival rates. However, there is a notable scarcity of practical early prediction and risk assessment systems of PE in patients with AIIRD.Methods::In the training cohort, 60 AIIRD with PE cases and 180 age-, gender-, and disease-matched AIIRD non-PE cases were identified from 7254 AIIRD cases in Tongji Hospital from 2014 to 2022. Univariable logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) were used to select the clinical features for further training with machine learning (ML) methods, including random forest (RF), support vector machines (SVM), neural network (NN), logistic regression (LR), gradient boosted decision tree (GBDT), classification and regression trees (CART), and C5.0 models. The performances of these models were subsequently validated using a multicenter validation cohort.Results::In the training cohort, 24 and 13 clinical features were selected by univariable LR and LASSO strategies, respectively. The five ML models (RF, SVM, NN, LR, and GBDT) showed promising performances, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.962-1.000 in the training cohort and 0.969-0.999 in the validation cohort. CART and C5.0 models achieved AUCs of 0.850 and 0.932, respectively, in the training cohort. Using D-dimer as a pre-screening index, the refined C5.0 model achieved an AUC exceeding 0.948 in the training cohort and an AUC above 0.925 in the validation cohort. These results markedly outperformed the use of D-dimer levels alone.Conclusion::ML-based models are proven to be precise for predicting the onset of PE in patients with AIIRD exhibiting clinical suspicion of PE.Trial Registration::Chictr.org.cn: ChiCTR2200059599.

Humans ; Lupus Vasculitis, Central Nervous System/pathology* ; Magnetic Resonance Imaging/methods* ; Diffusion Tensor Imaging/methods* ; Patients ; Lupus Erythematosus, Systemic/pathology* ; Brain/pathology*

Paroxysmal nocturnal hemoglobinuria (PNH) is an acquired clonal hematopoietic stem cell disease caused by abnormal expression of glycosylphosphatidylinositol (GPI) on the cell membrane due to mutations in the phosphatidylinositol glycan class A(PIGA) gene. It is commonly characterized by intravascular hemolysis, repeated thrombosis, and bone marrow failure, as well as multiple systemic involvement symptoms such as renal dysfunction, pulmonary hypertension, swallowing difficulties, chest pain, abdominal pain, and erectile dysfunction. Due to the rarity of PNH and its strong heterogeneity in clinical manifestations, multidisciplinary collaboration is often required for diagnosis and treatment. Peking Union Medical College Hospital, relying on the rare disease diagnosis and treatment platform, has invited multidisciplinary clinical experts to form a unified opinion on the diagnosis and treatment of PNH, and formulated the Expert Consensus of Multidisciplinary Diagnosis and Treatment for Paroxysmal Nocturnal Hemoglobinuria (2024), with the hope of promoting the standardization of PNH diagnosis and treatment.

Objective:To analyze the research progress of family psychological education in schizophrenia population, in order to understand the elements and current situation of family psychological education application, and provide guidance for future research in this field.Methods:According to the basic idea of scoping review, research on family psychological education for schizophrenia patients was systematically searched in PubMed, Embase, CINAHL, Web of Science, Cochrane Library, China National Knowledge Infrastructure, WanFang Data, and China Biology Medicine. The search period was from database establishment to March 15, 2023.Results:A total of 15 articles were included, including 11 completely randomized controlled trials, 2 semi-randomized controlled trials, and 2 follow-up studies. The content consisted of the evaluation and intervention forms of family psychological education, and the development and implementation of specific intervention plans.Conclusions:There is limited research on family psychological education for patients with schizophrenia, and the implementation efforts around the world are insufficient. In the future, relevant research can be conducted to develop cost-effective education programs that are in line with China's culture and environment, so that schizophrenia patients and their families can receive evidence-based treatment to improve patient and family outcomes.

Objective:To translate the English version of the Beliefs Toward Mental Illness Scale (BTMI) into Chinese and test the reliability and validity of the Chinese version in college students.Methods:According to the Beaton cross-cultural adaptation guideline, the Chinese version of BTMI was formed. From April to May 2023, a questionnaire survey was conducted on 915 university students from 171 universities in 26 provinces, autonomous regions, and municipalities across China using convenience sampling, to analyze the reliability and validity of the scale.Results:A total of 915 questionnaires were distributed, and 814 valid questionnaires were collected, with an effective recovery rate of 88.96% (814/915). The Chinese version of BTMI had a total of 21 items. The Cronbach's α coefficient of the total scale was 0.922, and the Cronbach's α coefficients of each dimension were 0.745 to 0.921. The half reliability coefficient of the total scale was 0.797, and the retest reliability coefficient of the total scale was 0.903 ( P<0.01). Exploratory factor analysis extracted four common factors, namely social function, risk, incurability, and awkwardness, with a cumulative variance contribution rate of 62.29%. Confirmatory factor analysis showed that all important fitting indicators were greater than 0.900, indicating a good overall model fit. Conclusions:The Chinese version of BTMI has good reliability and validity, which can be used to evaluate the beliefs of Chinese university students about mental illness.

This article summarizes the research progress on situation awareness in nursing through literature review. Currently, research on situation awareness in nursing is mostly focused on foreign countries, and there is relatively little attention and research on it in China. This article reviews the relevant theories of situation awareness in nursing and its application status in medical settings, related factors, and improvement strategies, in order to provide theoretical references for future research on situation awareness in the nursing and even medical industries.