1.System of classification of diabetic foot and its appraisal.
Chinese Journal of Burns 2012;28(1):47-50
The classification system of diabetic foot not only helps to assess the wound, but it also can be used to predict the outcome of diabetic foot ulcer in the early stage, dynamically monitor the changes in the wound, and rationally direct the therapeutic schedule. At present, there are diverse systems for classifying the diabetic foot, but none has been internationally recognized. The classification systems can be categorized by time sequence, research objective, or structure type. When one of the classification systems is chosen, it is still very important to take the population, facility, and research type into consideration.
Diabetic Foot
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classification
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pathology
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Humans
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Severity of Illness Index
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Wound Healing
2.Transplantation of autologous noncultured epidermal cell suspension in treatment of patients with stable vitiligo.
Ai-e XU ; Xiao-dong WEI ; Dong-qing CHENG ; He-fen ZHOU ; Guo-pei QIAN
Chinese Medical Journal 2005;118(1):77-79
Adolescent
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Adult
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Cell Transplantation
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Child
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Epidermis
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cytology
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Female
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Humans
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Male
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Suspensions
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Transplantation, Autologous
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Vitiligo
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therapy
3.Primary Central Nervous System Lymphoma.
Yan-Hong DONG ; Zhen-Jie TENG ; Ming HU ; Ci WEI ; Ying-Min CHEN ; Huan-Fen ZHAO ; Shu-Qian ZHANG ; Pei-Yuan LYU ;
Chinese Medical Journal 2016;129(5):609-611
4.Expression of FOXM1 in patients with esophageal squamous carcinoma and its clinical significance
Pei-Qin LI ; Shao-Fen YANG ; Ya-Qian WENG ; Chun-Hui ZHOU ; Li-Na YU
Chinese Journal of Clinical and Experimental Pathology 2018;34(6):591-594,600
Purpose Analysis of correlation between FOXM1 gene expression levels and clinicopathological features and prognosis of patients with esophageal squamous cancer (ESC). The effect of down-regulation of FOXM1 expression on the proliferation of human ESC cell line KYSE-30 was also inves-tigated. Methods Quantitative real-time PCR (qRT-PCR) and immunohistochemistry ( IHC) methods were used to detect the expression of FOXM1 in ESC tissues and non-cancer tissues in mRNA and protein level. The expression of FOXM1 was down-regulated by RNA interference (RNAi) technique, and the pro-liferation activity of KYSE-30 cells was detected by CCK-8 as-say. Results Compared with the corresponding non-cancer tis-sues, the expression of FOXM1 was significant higher in ESC tis-sues(P<0. 01). Meanwhile, the expression levels of FOXM1 in poorly differentiated esophageal carcinoma was higher than that in well-differentiated ESC group ( P <0. 01 ). The expression of FOXM1 was significantly correlated with poor tumor differentia-tion (P<0. 001), lymphatic metastasis (P=0. 000), advanced stage (P=0. 004) of ESC patients after surgical resection. High FOXM1 expression was related to shorter overall survival ( OS) (P<0. 001). After down-regulating FOXM1 expression in KYSE-30 cells, cell proliferation rate was inhibited (P<0. 01). Conclusion FOXM1 expression is up-regulated in ESC and is closely related to the degree of differentiation, lymph node me-tastasis, clinical stage and prognosis of ESC. FOXM1 may be participated in regulating the proliferation of human esophageal carcinoma cell line KYSE-30.
5.Active components and mechanism of Taohong Siwu Decoction in treatment of primary dysmenorrhea based on network pharmacology and molecular docking technology.
Sheng-Ju WANG ; Qian-Qian LIU ; Hua-Juan JIANG ; Yan-Fen CHENG ; Yu-Hang YAN ; He YAO ; Jin-Ming ZHANG ; Jin PEI
China Journal of Chinese Materia Medica 2020;45(22):5373-5382
This paper aimed to investigate the active components and mechanism of Taohong Siwu Decoction in the treatment of primary dysmenorrhea(PD) based on network pharmacology and molecular docking technology. Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) was used to search the chemical compositions and targets of six herbs in Taohong Siwu Decoction. The targets for PD treatment were selected through the databases of DrugBank, OMIM, TTD and CTD, and gene annotation of the targets was conducted with UniProt database. Cytoscape 3.7.2 was then used to construct the drug-compound-target network. The protein-protein interaction(PPI) network was constructed based on STRING, and the core targets of Taohong Siwu Decoction in the treatment of PD were selected according to the topological parameters. David database was used for GO enrichment analysis and KOBAS 3.0 was used for KEGG enrichment analysis. The molecular docking technology was used to connect the components with higher medium values in the network with core targets. The results showed that the network contained 36 compounds such as quercetin, kaempferol, luteolin, myricanone and ferulic acid, and 99 targets such as PTGS2, PTGS2, PGR and PPARG. Totally 102 GO terms were obtained by GO functional enrichment analysis(P<0.01), and 228 signal pathways were obtained by KEGG pathway enrichment(P<0.05), mainly involving inflammatory factors, hormone regulation, central analgesia, amino acid metabolism and spasmolysis. The results of molecular docking showed that the main active components can spontaneously bind to the targets. This study preliminarily revealed the mechanism of Taohong Siwu Decoction for treatment of primary dysmenorrheal through multi-components, multi-targets and multi-pathways, providing theoretical references for further researches on mechanism of Taohong Siwu Decoction.
Drugs, Chinese Herbal
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Dysmenorrhea/drug therapy*
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Female
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Humans
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Molecular Docking Simulation
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Technology