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.

Maxillofacial fractures are common and frequently occurring diseases in Oral and Maxillofacial Surgery.The traditional clinical diagnosis and treatment process is easily affected by complex maxillofacial anatomy and differences in doctors' experience in reading X-rays and making diagnoses.In recent years,artificial intelligence technology has provided new solutions for the accurate diag-nosis and treatment planning of maxillofacial fractures.Automating image analysis through computer vision methods improves diagnostic accuracy and efficiency and assists in formulating treatment plans,showing broad application prospects and value.This article reviews and summarizes the research on the application of artificial intelligence in the auxiliary diagnosis and treatment of maxillofacial fractures at home and abroad,analyzes its advantages and disadvantages,and looks forward to future research trends.

OBJECTIVE:The quality of systematic reviews/meta-analyses directly affects the reliability of clinical decision-making basis.Currently,there is no literature quality research on the systematic reviews/meta-analyses of platelet rich plasma versus hyaluronic acid in the treatment of knee osteoarthritis both domestically and internationally.This article will comprehensively evaluate the methodological quality,reporting quality,and evidence quality of the systematic reviews/meta-analyses of platelet rich plasma versus hyaluronic acid in the treatment of knee osteoarthritis.METHODS:Computer searches were conducted on CNKI,WanFang Data,VIP,CBM,PubMed,Embase,and The Cochrane Library.From the establishment of the database until January 24,2024,all systematic reviews/meta-analyses treated with platelet rich plasma versus hyaluronic acid for knee osteoarthritis were collected.Two evaluators independently conducted literature screening and data extraction,and used the AMSTAR 2,PRISMA 2020,and GRADE systems to evaluate and summarize the methodological,reporting,and evidence quality of the included systematic reviews/meta-analyses.RESULTS:A total of 18 qualified systematic reviews/meta-analyses were included,and the results showed that the efficacy and safety of platelet rich plasma might be better than that of hyaluronic acid.The methodological quality of all 18 studies was extremely low;4 reports had poor quality and relatively serious information defects,while 14 reports had moderate quality and some information defects.Among the 275 outcome measures of 16 systematic reviews/meta-analyses,there were 9 medium quality evidence,90 low-quality evidence,and 176 extremely low-quality evidence,with no high-quality evidence.CONCLUSION:At present,the quality of systematic reviews/meta-analyses literature on the treatment of knee osteoarthritis with platelet rich plasma versus hyaluronic acid is relatively low.In the future,the authors of the systematic reviews need to strictly follow the entries of quality evaluation tools such as AMSTAR 2 and PRISMA 2020 in terms of plan registration,research type explanation,retrieval strategy,exclusion list,research site and funding source,bias risk analysis,publication bias evaluation,and public information acquisition,and conduct evidence quality evaluation on the combined results of the systematic reviews/meta-analyses to provide more reliable and rigorous evidence-based basis for clinical practice.

Objective To explore the role and mechanism of HJT-sRNA-m7(M7)bencaosome in a silicosis mouse model.Methods C57BL/6J mice were randomly divided into four groups:blank,control,negative control(NC)oligonucleotide,and M7 treatment(HJT-sRNA-m7 bencaosome)groups.After three rounds of pretreatment with HJT-sRNA-m7 bencaosome,all groups except the blank one were modeled via a single intratracheal exposure.Each mouse received 50 μL of a silica suspension at a dose of 200 mg/kg body weight via intratracheal instillation.From day 6 to day 26,the bencaosome was administered every other day via oral gavages.On day 28,pulmonary function tests were performed.Bronchoalveolar lavage fluid was collected for flow cytometry and cytokine analysis.The left lung was harvested for histopathological examination and Masson's trichrome staining to evaluate collagen fiber dep-osition.The right lung was used for hydroxyproline quantification to assess collagen accumulation.Results The re-sults of pulmonary function test,pathological analysis and hydroxyproline measurements all indicated that M7 ben-caosome treatment significantly alleviated silica-induced pulmonary fibrosis.Moreover,flow cytometry analysis of BALF confirmed that M7 bencaosome inhibited the silica-induced inflammatory response,that was supported by cy-tokine analysis.Conclusions HJT-sRNA-m7 bencaosome is quite effective to treat silicosis and inhibits mitigating pulmonary fibrosis progression in mouse models.

Objective To construct a nursing registry platform for percutaneous coronary intervention(PCI)to provide data support for subsequent real-world research on PCI nursing.Methods From April to December 2023,we established a variable list and data dictionary based on literature review and expert discussion,and constructed a web-based PCI nursing registry platform based on registry-related standards.Results A total of 191 variables were screened in this study,and a corresponding data dictionary was developed for each variable according to the variable name,variable code,variable definition,variable type,variable value range,data source and data collection node.Three levels of account privileges has been set up in the platform,which can realize different data management privileges,and the data can be saved only after filling in and reviewing at each level.The platform is also equipped with automatic data checking function,which reduces data filling errors and improves data quality.Conclusion The constructed PCI nursing registration platform has strong scientific and professional characteristics,and can provide data support for subsequent research,and the content and functions of the platform can be further optimized in the future.

Maxillofacial fractures are common and frequently occurring diseases in Oral and Maxillofacial Surgery.The traditional clinical diagnosis and treatment process is easily affected by complex maxillofacial anatomy and differences in doctors' experience in reading X-rays and making diagnoses.In recent years,artificial intelligence technology has provided new solutions for the accurate diag-nosis and treatment planning of maxillofacial fractures.Automating image analysis through computer vision methods improves diagnostic accuracy and efficiency and assists in formulating treatment plans,showing broad application prospects and value.This article reviews and summarizes the research on the application of artificial intelligence in the auxiliary diagnosis and treatment of maxillofacial fractures at home and abroad,analyzes its advantages and disadvantages,and looks forward to future research trends.

Objective To construct a nursing registry platform for percutaneous coronary intervention(PCI)to provide data support for subsequent real-world research on PCI nursing.Methods From April to December 2023,we established a variable list and data dictionary based on literature review and expert discussion,and constructed a web-based PCI nursing registry platform based on registry-related standards.Results A total of 191 variables were screened in this study,and a corresponding data dictionary was developed for each variable according to the variable name,variable code,variable definition,variable type,variable value range,data source and data collection node.Three levels of account privileges has been set up in the platform,which can realize different data management privileges,and the data can be saved only after filling in and reviewing at each level.The platform is also equipped with automatic data checking function,which reduces data filling errors and improves data quality.Conclusion The constructed PCI nursing registration platform has strong scientific and professional characteristics,and can provide data support for subsequent research,and the content and functions of the platform can be further optimized in the future.

OBJECTIVE:The quality of systematic reviews/meta-analyses directly affects the reliability of clinical decision-making basis.Currently,there is no literature quality research on the systematic reviews/meta-analyses of platelet rich plasma versus hyaluronic acid in the treatment of knee osteoarthritis both domestically and internationally.This article will comprehensively evaluate the methodological quality,reporting quality,and evidence quality of the systematic reviews/meta-analyses of platelet rich plasma versus hyaluronic acid in the treatment of knee osteoarthritis.METHODS:Computer searches were conducted on CNKI,WanFang Data,VIP,CBM,PubMed,Embase,and The Cochrane Library.From the establishment of the database until January 24,2024,all systematic reviews/meta-analyses treated with platelet rich plasma versus hyaluronic acid for knee osteoarthritis were collected.Two evaluators independently conducted literature screening and data extraction,and used the AMSTAR 2,PRISMA 2020,and GRADE systems to evaluate and summarize the methodological,reporting,and evidence quality of the included systematic reviews/meta-analyses.RESULTS:A total of 18 qualified systematic reviews/meta-analyses were included,and the results showed that the efficacy and safety of platelet rich plasma might be better than that of hyaluronic acid.The methodological quality of all 18 studies was extremely low;4 reports had poor quality and relatively serious information defects,while 14 reports had moderate quality and some information defects.Among the 275 outcome measures of 16 systematic reviews/meta-analyses,there were 9 medium quality evidence,90 low-quality evidence,and 176 extremely low-quality evidence,with no high-quality evidence.CONCLUSION:At present,the quality of systematic reviews/meta-analyses literature on the treatment of knee osteoarthritis with platelet rich plasma versus hyaluronic acid is relatively low.In the future,the authors of the systematic reviews need to strictly follow the entries of quality evaluation tools such as AMSTAR 2 and PRISMA 2020 in terms of plan registration,research type explanation,retrieval strategy,exclusion list,research site and funding source,bias risk analysis,publication bias evaluation,and public information acquisition,and conduct evidence quality evaluation on the combined results of the systematic reviews/meta-analyses to provide more reliable and rigorous evidence-based basis for clinical practice.

ObjectiveTo explore the effect of Ganoderma leucocontextum ethanol extract (GLE) on silicosis and its potential molecular mechanism using network pharmacology, molecular docking technology and animal experiments. Methods i) The components of GLE were analyzed using ultra-performance liquid chromatography-Q Exactive-mass spectrometry (UPLC-QE-MS) method. The active components, potential molecular pathways and targets of GLE in the intervention of inflammation process of silicosis was explored using network pharmacology and molecular docking technology. ii) Specific pathogen free male C57BL6/J mice were divided into four groups with 10 mice in each group. The mice in the silicosis model group and GLE intervention group were given a dose of 80 μL silica suspension with a mass concentration of 50 g/L once by non-exposed tracheal instillation, and the mice in the blank control group and GLE control group were given an equal volume of sterile 0.9% sodium chloride solution. From the second day after modeling, GLE control group and GLE intervention group were given GLE at a dose of 200 mg/(kg•d) by gavage, while blank control group and silicosis model group were given the same volume of 0.9% sodium chloride solution by gavage, once per day for 35 days. After that, the histopathological changes of lung tissues of mice were observed, the lung mass coefficient, inflammation score and the ratio of collagen deposition area were calculated, and the levels of tumor necrosis factor (TNF) -α, interleukin (IL) -1β and IL-6 in the lung tissues of mice were detected by enzyme-linked immunosorbent assay. Results i) A total of 76 active components of GLE were detected by UPLC-QE-MS. Among them, 36 ingredients met the screening criteria of the five principles of drug-like components. A total of 67 potential targets of the 36 GLE active ingredients to improve the inflammatory response of silicosis were screened based on the network pharmacology theory. The result of Kyoto Encyclopedia of Genes and Genomes enrichment analysis and Gene Ontology functional analysis showed that IL signaling and cytokine signaling of immune cells played a key role in the process of anti-silicosis of GLE. The results of molecular docking showed that the top 10 targets based on the 67 intersection targets were TNF, IL6, B-cell lymphoma 2, cellular tumor antigen p53, Caspase-3 subunit p12, JUN, epidermal growth factor receptor, IL1B, 67 kDa matrix metalloproteinase-9 and prostaglandin G/H synthase 2. The result of protein-protein interaction analysis showed that glycyrrhetinic acid had the strongest affinity with the key targets TNF-α, IL-1β and IL-6, followed by ganoderma acid DM, alismatol C, ganoderma acid β and red sapogenin. ii) The results of histopathological examination showed that the inflammatory response and collagen deposition were alleviated in the lungs of mice with silicosis. The lung mass coefficient, inflammation score, ratio of collagen deposition area and IL-6 expression in lung were lower in mice of the GLE intervention group (all P<0.05), compared with the silicosis model group. However, there was no significant difference in the levels of TNF-α and IL-1β in lung tissues between the two groups (all P>0.05). Conclusion GLE may reduce silica-induced lung inflammation and fibrosis by inhibiting the IL-6 level in lung tissues of mice. Its mechanism is associated with the synergistic action of multi-components, multi-targets and multi-pathways.

Rosacea is a chronic recurrent inflammatory skin disease, and correct assessment of clinical symptoms and severity may facilitate treatment options. This review summarizes a range of subjective, semi-subjective and objective methods currently used in the assessment of rosacea severity, in order to provide useful tools for clinical assessment of rosacea severity and give guidance on treatment modification according to the therapeutic effect.