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BACKGROUND: Stem cell therapy has shown great potential for treating diabetic foot (DF). AIM: To conduct a bibliometric analysis of studies on the use of stem cell therapy for DF over the past two decades, with the aim of depicting the current global research landscape, identifying the most influential research hotspots, and providing insights for future research directions. METHODS: We searched the Web of Science Core Collection database for all relevant studies on the use of stem cell therapy in DF. Bibliometric analysis was carried out using CiteSpace, VOSviewer, and R (4.3.1) to identify the most notable studies. RESULTS: A search was conducted to identify publications related to the use of stem cells for DF treatment. A total of 542 articles published from 2000 to 2023 were identified. The United States had published the most papers on this subject. In this field, Iran's Shahid Beheshti University Medical Sciences demonstrated the highest productivity. Furthermore, Dr. Bayat from the same university has been an outstanding researcher in this field. Stem Cell Research & Therapy is the journal with the highest number of publications in this field. The main keywords were "diabetic foot ulcers," "wound healing," and "angiogenesis." CONCLUSION: This study systematically illustrated the advances in the use of stem cell therapy to treat DF over the past 23 years. Current research findings suggested that the hotspots in this field include stem cell dressings, exosomes, wound healing, and adipose-derived stem cells. Future research should also focus on the clinical translation of stem cell therapies for DF.
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BACKGROUND: Tourette's syndrome (TS) is a neurodevelopmental condition characterized by multiple motor and vocal tics. Qiangzhi decoction (QD), a well-known herbal decoction, has been used in treating TS in China for decades. We have found relevance between the indications of QD and the classic symptoms of TS. The pharmacological mechanisms of QD in treating TS are still unclear. METHODS: The active compounds of QD were extracted from multi-database, including TCMSP (the Traditional Chinese Medicine Systems Pharmacology database), and potential targets of the compounds were compiled by target fishing. The TS target database was established, and then the protein-protein interaction (PPI) network was constructed to analyze the interactions between the potential targets of compounds in QD and targets associated with TS and screened the core targets by topology. The DAVID bioinformatics database was used to conduct the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. RESULTS: 59 active molecules and 585 potential targets of QD were selected. The consequences of the DAVID enrichment analysis show that 36 cellular biological processes (FDR <0.01) and 65 pathways (FDR <0.01) of QD chiefly took part in the convoluted treating effects relevant to the dopamine system, inflammation, and infection, and miRNA pathway. Fourteen core targets of QD were found as potential targets of the treatment of TS. CONCLUSIONS: QD could relieve the symptoms of TS through the molecular mechanisms predicted by network pharmacology. This study supplies insight into how network pharmacology can predict traditional Chinese herbal medicine's possible molecular mechanisms (TCHM).