Diabetes mellitus (DM) is one of the fastest-growing diseases worldwide; however, its pathogenesis remains unclear. Complications seriously affect the quality of life of patients in the later stages of diabetes, ultimately leading to suffering. Natural small molecules are an important source of antidiabetic agents. Astragaloside IV (AS-IV) is an active ingredient of Astragalus mongholicus (Fisch.) Bunge. We reviewed the efficacy and mechanism of action of AS-IV in animal and cellular models of diabetes and the mechanism of action of AS-IV on diabetic complications in animal and cellular models. We also summarized the safety of AS-IV and provided ideas and rationales for its future clinical application. Articles on the intervention in DM and its complications using AS-IV, such as those published in SCIENCE, PubMed, Springer, ACS, SCOPUS, and CNKI from the establishment of the database to February 2022, were reviewed. The following points were systematically summarized: dose/concentration, route of administration, potential mechanisms, and efficacy of AS-IV in animal models of DM and its complications. AS-IV has shown therapeutic effects in animal models of DM, such as alleviating gestational diabetes, delaying diabetic nephropathy, preventing myocardial cell apoptosis, and inhibiting vascular endothelial dysfunction; however, the potential effects of AS-IV on DM should be investigated. AS-IV is a potential drug for the treatment of diabetes and its complications, including diabetic vascular disease, cardiomyopathy, retinopathy, peripheral neuropathy, and nephropathy. In addition, preclinical toxicity studies indicate that it appears to be safe, but the safe human dose limit is yet to be determined, and formal assessments of adverse drug reactions among humans need to be further investigated. However, additional formulations or structural modifications are required to improve the pharmacokinetic parameters and facilitate the clinical use of AS-IV.

Fibronectin type III domain containing 1 (FNDC1) has been associated with the metastasis of many tumors, but its function in lung cancer remains uncertain. FNDC1 expression was analyzed in The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx), evaluate its prognostic value. Gene Set Enrichment Analysis (GSEA) enrichment analysis of differential expression of FNDC1 in lung cancer. The expression of FNDC1 was detected in five types of lung cancer cells, and screened to establish FNDC1 stable knockdown cell strains. To observe the migration and invasion ability of lung cancer cells after FNDC1 knockdown. Finally, we used rhIL-6 to interfere with the stable knockdown of FNDC1 in A549 cells and observed the recovery of migration and invasion. Our results showed that FNDC1 expression was increased in 21 tumor tissues, including lung cancer, and was associated with poor prognosis in five cancers, including lung adenocarcinoma (LUAD) (P < 0.05). GSEA enrichment analysis showed that FNDC1 was related to the pathways involved the JAK-STAT signaling pathway. Stable knockdown of FNDC1 in A549 and H292 cells resulted in decreased migration and invasion ability of both cells, accompanied by decreased expression of MMP-2 and Snail, and a significant decline in the expression of p-JAK2 and p-STAT3. The suppressive effect of FNDC1 knockdown on lung cancer cell metastasis counteracted by the JAK-STAT agonist rhIL-6 were presented in the nude mouse metastatic tumor model. FNDC1 is implicated in poor prognosis of a diverse range of malignant tumors, which can promote metastasis and invasion of lung cancer through the JAK2-STAT3 signaling pathway.

Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive fibrotic disease with an unclear etiology and no effective treatment. This study aims to elucidate the pathogenic mechanism networks involving multiple targets and pathways in IPF. Extracts and metabolites of Astragalus membranaceus (AM) and Radix paeoniae rubra (RPR), two well-known traditional Chinese medicines, have demonstrated therapeutic effects on IPF. However, the underlying mechanisms of AM and RPR remain unclear. Utilizing network pharmacology analysis, differentially expressed genes (DEGs) associated with IPF were obtained from the GEO database. Targets of AM and RPR were identified using the TCM Systems Pharmacology Database and Analysis Platform and SwissTargetPrediction. A protein–protein interaction (PPI) network was subsequently constructed and analyzed using the STRING database and Cytoscape software. Gene ontology enrichment analysis and kyoto encyclopedia of genes and genomes analysis were conducted using Metascape. Additionally, a component-target-pathway network and a Sankey diagram were employed to identify the main active components, and molecular docking was performed between these components and proteins encoded by key targets. Finally, in vivo studies were conducted based on network pharmacology. A total of 117 common targets between DEGs of IPF and drug targets were identified and included in the PPI network, in which AKT1, MAPK3, HSP90AA1, VEGFA, CASP3, JUN, HIF1A, CCND1, PTGS2, and MDM2 were predicted as key targets. These 117 targets were enriched in the PI3K-AKT pathway, HIF-1 signaling pathway, apoptosis, and microRNAs in cancer. Astragaloside III, (R)-Isomucronulatol, Astragaloside I, Paeoniflorin, and β-sitosterol were selected as the main active components. Docking scores ranged from − 4.7 to − 10.7 kcal/mol, indicating a strong binding affinity between the main active compounds and key targets. In vivo studies have indeed shown that AM and RPR can alleviate the pathological lung fibrotic damage caused by bleomycin treatment. The treatment with AM and RPR resulted in a reduction of mRNA levels for key targets AKT1, HSP90AA1, CASP3, MAPK3, and VEGFA. Additionally, the protein expression levels of AKT1, HSP90AA1, and VEGFA were also reduced. These results support the therapeutic potential of AM and RPR in ameliorating pulmonary fibrosis and provide insight into the molecular mechanisms involved in their therapeutic effects.

Background: The practical training course of internal medicine of traditional Chinese medicine (PTC-IMTCM) is primarily based on traditional case teaching, which can be stressful for teachers. The use of virtual standardized patient (VSP) applications could be an alternative; however, there is limited evidence regarding their feasibility and effectiveness. Objective: This study aimed to build a VSP-TCM application according to the characteristics of PTC-IMTCM and the needs of students and to compare its efficacy with that of traditional teaching in improving TCM clinical competence among students. Methods: A prequestionnaire investigation was conducted before the course, and a VSP-TCM system was developed based on the results of the questionnaire. A randomized controlled trial was then conducted between February 26, 2020, and August 20, 2021. A total of 84 medical students were included and were divided into 2 groups: an observation group, trained with VSP-TCM (n=42, 50%), and a control group, trained with traditional academic training (n=42, 50%). Formative and summative assessments were conducted to evaluate teaching effectiveness. After completing the course, the students were administered a questionnaire to self-assess their satisfaction with the course. A questionnaire was also administered to 15 teachers to uncover their perspectives on VSP-TCM. Results: All participants completed the study. In the formative assessment, the VSP-TCM group performed better in medical interviewing ability (mean 7.19, SD 0.63, vs mean 6.83, SD 0.81; P=.04), clinical judgment (mean 6.48, SD 0.98, vs mean 5.86, SD 1.04; P=.006), and comprehensive ability (mean 6.71, SD 0.59, vs mean 6.40, SD 0.58; P=.02) than the control group. Similarly, in the summative evaluation, the VSP-TCM group performed better in the online systematic knowledge test (OSKT; mean 86.62, SD 2.71, vs mean 85.38, SD 2.62; P=.046), application of TCM technology (mean 87.86, SD 3.04, vs mean 86.19, SD 3.08; P=.02), TCM syndrome differentiation and therapeutic regimen (mean 90.93, SD 2.42, vs mean 89.60, SD 2.86; P=.03), and communication skills (mean 90.67, SD 4.52, vs mean 88.24, SD 4.56; P=.02) than the control group. There was no significant difference in medical writing between both groups (mean 75.07, SD 3.61, vs mean 75.71, SD 2.86; P=.37). The postcourse feedback questionnaire indicated that VSP-TCM can better enhance students’ TCM thinking ability (n=39, 93%, vs n=37, 88%; P=.002), medical history collection (n=38, 90%, vs n=30, 72; P=.001), syndrome differentiation and treatment and critical thinking (n=38, 90%, vs n=37, 88%; P=.046), comprehensive clinical application ability (n=40, 95%, vs n=36, 86%; P=.009), interpersonal communication skills (n=36, 86%, vs n=28, 67%; P=.01), and autonomous learning ability (n=37, 88%, vs n=28, 67%; P=.01) than traditional academic training. Similarly, the teachers held a positive perspective on VSP-TCM. Conclusions: VSP-TCM enhances students’ TCM clinical competence and dialectical thinking and improves their ability to work autonomously. Moreover, the VSP-TCM system is feasible, practical, and cost-effective and thus merits further promotion in TCM education.