ObjectiveTo investigate the therapeutic effect of Astragali Radix-mediated changes in gut microbiota on treating type 2 diabetes （T2DM）. MethodsA 12-week randomized， placebo-controlled clinical trial enrolled eighty patients with newly diagnosed type 2 diabetes and poor glycemic control in the Qi deficiency type. All patients received insulin therapy. The observation group （40 cases） was administered with Astragali Radix Granules， while the control group （40 cases） received a placebo. Both treamtents were taken orally twice daily. Changes in gut microbiota were assessed by 16s rDNA sequencing. Serum glucagon-like peptide-1 （GLP-1） levels were measured using enzyme-linked immunosorbent assay （ELISA）. Glucose metabolism indicators including fasting blood glucose （FPG）， 2-hour postprandial blood glucose （2 h PG），glycated albumin（GA）， and glycated hemoglobin （HbA1c） were evaluated. Pancreatic function was evaluated using fasting C-peptide （FCP）， 2-hour postprandial C-peptide （2 h CP）， and C-peptide area under the curve （AUC_cp）. Traditional Chinese medicine （TCM） syndrome scores， clinical efficacy， and safety indicators were also observed. ResultsIn terms of glucose metabolism indicators， compared with the baseline， both groups exhibited significantly lower FPG， 2 h PG， GA and HbA1C （P<0.01），while FCP， 2 h CP and AUC_cp were significantly higher （P<0.01）. Compared with the control group after the treatment， the observation group showed significantly lower FPG， 2 h PG， GA and HbA1C（P<0.05， P<0.01），and significantly higher FCP， 2 h CP and AUC_cp （P<0.05， P<0.01）， indicating that Astragali Radix can improve glucose metabolism. In terms of the diversity of gut microbiota， no significant differences were detected in the Chao1， Shannon and Simpson indexes of the two groups compared with their respective baselines. However， compared with the post-treatment control group， the observation group demonstrated significant increases in the Chao1， Shannon and Simpson indexes （P<0.05， P<0.01）. The β-diversity analysis showed significant separation in gut microbiota composition before and after treatment in both groups， indicating that Astragali Radix can significantly alter the structure and improve the diversity of gut microbiota. At the phylum level， compared with the baseline， both groups showed a significant increase in the relative abundance of Bacteroidota（P<0.01）. The relative abundance of the potentially harmful phylum Proteobacteria was significantly lower in the observation Group after treatment （P<0.01）. Compared with the post-treatment control group， the observation group had a significantly higher relative abundance of Bacteroidota（P<0.01）. No significant difference was found in Firmicutes/Bacteroidota （F/B） ratio between the two groups after treatment， and other phyla showed no significant differences. At the genus level， compared with the baseline， the observation group exhibited a significant increase in Bacteroides （P<0.01） and a significant decrease in Escherichia-Shigella （P<0.01）， whereas no significant difference was seen in the control group . Compared with the control group after treatment， the observation group after treatment had a significantly higher relative abundance of Bacteroides （P<0.01）. No significant differences were seen in other genera. Linear discriminant analysis （LDA） identified potential characteristics taxa： in the observation group， Bacteroidota at the phylum level and Bacteroides and Dubosiella at the genus level， in the control group， Proteobacteria at the phylum level as well as Barnesiella and Staphylococcus at the genus level. Correlation analysis based on a heatmap revealed that GLP-1 levels were positively correlated with Firmicutes， F/B ratio and Fusobacterium， and negatively correlated with Bacteroidota， Proteobacteria， Bacteroides and Escherichia-Shigella. In terms of clinical efficacy， compared with the control group， the total effective rate of the observation group was significantly higher （P<0.05）. Compared with the baseline， the scores for shortness of breath， fatigue， weakness， spontaneous sweating and reluctance to speak significantly decreased in both groups （P<0.01）. Compared with the control group after treatment， the score for weakness was significantly lower in the observation group （P<0.01），indicating that Astragali Radix could improve clinical symptoms and alleviate weakness symptoms. In terms of safety， compared with the baseline， alanine aminotransferase （ALT） levels significantly decreased in both groups （P<0.05，P<0.01），indicating that Astragali Radix did not induce any significant abnormalities in liver and kidney functions. ConclusionAstragali Radix demonstrates the potential to significantly improve the gut microbiota environment in patients of newly diagnosed type 2 diabetes with Qi deficiency. The therapeutic effect may contribute to glycemic control， possibly mediated by an elevation in GLP-1 level. These findings may support its further clinical investigations and potential applications.

OBJECTIVE To provide reference for rational clinical use of immune checkpoint inhibitor （ICI）. METHODS Electronic medical record information of patients who received ICI treatment from January 1st 2020 to December 31st 2023 at a certain hospital was collected. Patients were divided into thyroid immune-related adverse event （irAE） group （subdivided into clinical hypothyroidism， clinical hyperthyroidism， subclinical hypothyroidism， and subclinical hyperthyroidism subgroups） and non- thyroid irAE group based on whether they experienced immune-induced thyroid irAE. Univariate and multivariate Logistic regression analyses were employed to analyze the influencing factors of ICI-related thyroid adverse events. RESULTS A total of 382 patients who received ICI treatment were included， with 137 cases in the thyroid irAE group （accounting for 35.9%） and 245 cases in the non-thyroid irAE group （accounting for 64.1%）. Multivariate Logistic regression analysis， following univariate screening， revealed that ICI combined with radiotherapy was positively associated with the occurrence of thyroid irAE [odds ratio （OR）＝2.157， 95% confidence interval （CI） （1.144， 4.066）， P＜0.05]， while lung squamous cell carcinoma was negatively associated with the occurrence of thyroid irAE [OR＝0.600， 95%CI （0.369， 0.975）， P＜0.05]. Among various thyroid irAE， nasopharyngeal malignancy was positively associated with the occurrence of immune-related clinical hyperthyroidism [OR＝4.678， 95%CI （1.149， 19.042）， P＜0.05]； ICI combined with radiotherapy [OR＝2.622， 95%CI （1.227， 5.603）， P＜0.05] and lung adenocarcinoma [OR＝2.013， 95%CI （1.078， 3.759）， P＜0.05] were positively associated with the occurrence of immune-related subclinical hyperthyroidism. Age was negatively associated with the occurrence of immune-related clinical hypothyroidism [OR＝0.944， 95%CI （0.896， 0.995）， P＜0.05]； age [OR＝0.963， 95%CI （0.932， 0.994）， P＜0.05] and ICI combined with chemotherapy [OR＝0.332， 95%CI （0.137， 0.802）， P＜0.05] were negatively associated with the occurrence of immune-related subclinical hypothyroidism. CONCLUSIONS Among patients receiving ICI treatment， younger patients are more prone to thyroid irAE. Patients receiving ICI combined with chemotherapy are less likely to experience subclinical hypothyroidism， while ICI combined with radiotherapy significantly increases the risk of thyroid adverse events.

Objective:To explore the relationship between constitutional types of Chinese medicine and Alzheimer's disease (AD) and to construct an early warning model for AD risk.Methods:In the established multimodal interventions to delay dementia and disability in rural China (MIND-China) study, 4 033 elderly subjects aged ≥60 years old were included. The data including demographic, underlying disease and neuropsychological data were collected.The Chinese medicine service record form for the elderly was used to assess constitutional types of Chinese medicine and to apply the NIA-AA diagnostic criteria published by the National Institute on Aging and the Alzheimer's Association in 2011 for the diagnosis of clinically likely AD. Logistic regression analysis and AD risk prediction models were constructed using R statistical software, and the final prediction results were presented using columnar plots.Results:The MIND-China cohort was dominated by the abnormal constitution (69.28%), of which Phlegm-wetness type was the most common (58.05%), followed by Yang-deficiency type (23.85%). The most constitutional type of Chinese medicine among AD patients was Phlegm-wetness type (54.35%), followed by Qi-depression type (38.04%). Multi-factorial logistic regression analysis suggested that increasing age ( β=0.101, P<0.001, OR=1.107, 95% CI=1.069-1.146) and Qi-depression type ( β=0.622, P=0.016, OR=1.862, 95% CI=1.116-3.076) were able to increase the risk of developing AD, while education ( β=-1.047, P<0.001, OR=0.351, 95% CI=0.205-0.584) was able to reduce the risk of developing AD. By using the risk score model to calculate the total risk score for each subject and plotting the receiver operating characteristic curve (ROC), the area under the ROC was 0.769 and the calibration curve showed excellent consistency between prediction and reality. Conclusion:Older adults with Qi-depression type are significantly associated with an increased likelihood of AD.