Diabetic foot wound ulcer management by laser therapy: A meta-analysis.

A meta-analysis examination was implemented to review diabetic foot wound ulcer (DFWU) management by laser therapy (LT). A broad literature examination until May 2023 was done and 1357 interconnected examinations were revised. The 26 elected examinations, enclosed 1067 personals with DFWU were in the utilized examinations 'starting point, 540 of them were utilizing LT, and 527 were utilizing control. Odds ratio (OR) and 95% confidence intervals (CIs) were utilized to appraise the DFWUs management by LT by the dichotomous and continuous approach and a fixed or random model. LT had significantly higher ulcer size decreases (MD, 17.04; 95% CI, 12.48-21.59, p < 0.001) with high heterogeneity (I2 = 99%), and complete healing rate (OR, 2.88; 95% CI, 1.89-4.37, p < 0.001) with no heterogeneity (I2 = 0%) compared with control in personals with DFWU. LT had significantly higher ulcer size decreases, and complete healing rate compared to control in personals with DFWU. Nevertheless, exercise caution while interacting with its values since all the chosen examinations were found with a low sample size for the comparisons in the meta-analysis.

Mechanism of Sinisan in Treating Type 2 Diabetes Mellitus Based on Network Pharmacology / 中国实验方剂学杂志

Objective:To investigate the mechanism of Sinisan in treating type 2 diabetes mellitus（T2DM） based on network pharmacology. Method:Based on electronic databases， active ingredients of Sinisan and target genes of ingredients as well as type 2 diabetes were screened out. Cytoscape software was applied to construct "herb-active ingredient-target-disease" interaction network diagram，respectively. The common genes of ingredients and disease were uploaded to the STRING database， and the protein interaction network map （PPI） was constructed. CytoNCA and Cluster Marker were used to analyze PPI，respectively. Finally，ClueGO was used to analyze gene ontology （GO） enrichment and Kyoto Encyclopedia of genes and genomes （KEGG） pathway enrichment. Result:A total of 137 active components and 110 effective genes of Sinisan in the treatment of type 2 diabetes were screened out. Based on PPI analysis，these effective genes were divided into 4 different clusters， and 12 genes were considered as the most effective targets. GO enrichment analysis showed that cluster 1 mainly involved acute inflammatory response and acetylcholine receptor signaling pathway， cluster 2 mainly involved cellular response to steroid hormone stimulu and xenobiotic stimulus，and cluster 3 was mainly engaged in the metabolism process of protein，fatty and glucose and the response to hypoxia. KEGG analysis was highly correlated with advanced glycation end products-receptor for AGE （AGE-RAGE） pathway，apoptosis pathway，inflammatory pathway，cell cycles and various metabolic pathways. Conclusion:Sinisan has a regulatory effect in pathogenesis and prognosis of T2DM，such as inflammation，cell apoptosis and nutrition metabolism. Moreover，its potential mechanisms on diabetic angiopathies，diabetic cognitive impairment and cancers were reveal，so as to define a direction for the fundamental research of Sinisan.