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1. Comparative study of the treatment effects with FR III and Sander III appliances in children with Class III malocclusion | |||
ZHAO Wei,AN Xiaoli | |||
Clinical Medicine 02 May 2019
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Show/Hide Abstract | Cite this paper︱Full-text: PDF (476K B) | |||
Abstract:Purpose: To evaluate and compare the skeletal and facial changes of children with mild skeletal Class III malocclusion following the treatment of the Function Regulator III appliance and the Sander III appliance. Materials and methods: The study sample consisted of 40 children presenting skeletal Class III malocclusion. The group of patients treated with the Function Regulator III appliances (FR-III) consisted of 20 subjects with a mean age of 7.615±0.9996 years. The group of patients treated with the Sander III appliances (SD-III) consisted of 20 subjects with a mean age of 7.68±1.0665 years. Lateral cephalograms were obtained immediately before initiation and after completion of the treatment. Twenty-one variables were used for the analysis of skeletal and lateral profile changes. The non-parametric test was utilized to evaluate the presence of significant changes (P < 0.05). Results: Cephalometric analysis showed that the ANB angle increased by 4.05o in the SD-III group, compared with 1.46o in the FR-III group (p < 0.0001). There was 1.93o and 5.75o increase in GoGn-SN and FMA respectively in SD-III group, and the trends in FR-III group were similar, but there was no statistical difference between the two groups(p>0.05). Conclusion: SD-III is suitable for the maxillary deficiency of skeletal Class III malocclusion with low or average mandibular plane angle, rather than the high angle patients with apparent mandibular overgrowth. FR-III is suitable for the functional crossbite with low or average angle and the patients of mild skeletal Class III malocclusion with normal upper and lower jaws. | |||
TO cite this article:ZHAO Wei,AN Xiaoli. Comparative study of the treatment effects with FR III and Sander III appliances in children with Class III malocclusion[OL].[ 2 May 2019] http://en.paper.edu.cn/en_releasepaper/content/4748845 |
2. GDPD5 Immune Inflammation-Mediated Angiogenesis and Invasion Regulation Network in Human Hepatocellular Carcinoma (HCC) by Biocomputation | |||
XUE Shuaidong,WANG Ling,HUANG Juxiang | |||
Clinical Medicine 12 November 2018
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Show/Hide Abstract | Cite this paper︱Full-text: PDF (456K B) | |||
Abstract:We data-analyzed and constructed the high-expression GDPD5 immune inflammation-mediated angiogenesis and invasion regulation network in human hepatocellular carcinoma (HCC) compared with low-expression (fold change≥2) no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection) in GEO data set, by using integration of gene regulatory network inference method with gene ontology (GO). Our result showed that GDPD5 immune inflammation and multi-regulation upstream network BIRC5, BRCA1, CDKN3, EYA1, HOXD4, LEF1, PLA2G1B, PROK1, PTHLH, ROBO1, SCML2, REG3A activated GDPD5, and downstream GDPD5-activated CAD, CDC2, CDKN3, DKK1, E2F1, FOXM1, HMGB2, MAP2, MYCN, MYH6, NEK2, NR5A1, PROK1 in HCC. We proposed that GDPD5 activated network enhanced blood coagulation, chemotaxis, inflammatory response, interleukin-8 production, leukocyte migration, neutrophil chemotaxis, neutrophil mediated immunity, receptor mediated endocytosis, positive regulation of DNA repair, positive regulation of protein ubiquitination, as a result of inducing immune inflammation-mediated angiogenesis and invasion regulation in HCC. Our hypothesis was verified by GDPD5 regulation subnetwork containing angiogenesis, cell proliferation, transcription from RNA polymerase II promoter, transcription from RNA polymerase III promoter, Wnt receptor signaling pathway; also by GDPD5 negative regulation subnetwork including centriole replication, fatty acid biosynthesis, transcription, cell-cell adhesion, microtubule depolymerization in HCC, respectively. | |||
TO cite this article:XUE Shuaidong,WANG Ling,HUANG Juxiang. GDPD5 Immune Inflammation-Mediated Angiogenesis and Invasion Regulation Network in Human Hepatocellular Carcinoma (HCC) by Biocomputation[OL].[12 November 2018] http://en.paper.edu.cn/en_releasepaper/content/4746448 |
3. Multiple-biomarkers provide powerful prediction of early acute renal allograft rejection by combination of serum fractalkine, IFN-γ and IP-10 | |||
Cui-Xiang Xu,Zhan-Kui Jin,Pu-Xun Tian | |||
Clinical Medicine 09 May 2018 | |||
Show/Hide Abstract | Cite this paper︱Full-text: PDF (894K B) | |||
Abstract:Background/Aims: Biomarkers are urgently required for predicting rejection and for early anti-rejection treatment to prevent the functional impairment of the graft. We hypothesized that the combination of circulating fractalkine, IFN-γ and IP-10 might serve as effective biomarkers for predicting early acute rejection. Methods: We conducted a retrospective study of 87 subjects, who were classified into acute rejection group (ARG; n=38) and non-rejection group (NRG; n=49). Serum fractalkine, IFN-γ and IP-10 levels were measured by Luminex. Results: The levels of fractalkine on day 0, IP-10 on 4th day, fractalkine, IFN-γ and IP-10 on the 7th day in ARG was significantly higher than that in NRG. Kaplan-Meier survival analysis highlighted the higher-levels of fractalkine on day 0, 4th and 7th day, IFN-γ on day 0, 1st, 4th, and 7th day and IP-10 on the 4th and 7th day in rejection-free survival probability were significantly lower than low-levels. ROC analyses highlight the superiority of fractalkine on day 0, IP-10 on day 0, 4th and 7th day, and IFN-γ on day 0, 1st and 7th day in prediction of acute rejection. We found the combination of fractalkine on day 0, IP-10 on 7th day and IFN-γ on 7th day had the highest AUC (0.866) for predicting rejection with a sensitivity of 86.8% and a specificity of 89.8%. Conclusion: Our findings demonstrated a more powerful prediction of early acute renal allograft rejection by combination of multiple-biomarkers of fractalkine, IFN-γ and IP-10, and the results might help stratify the immunologic risk of acute allograft rejection in patients.????? | |||
TO cite this article:Cui-Xiang Xu,Zhan-Kui Jin,Pu-Xun Tian. Multiple-biomarkers provide powerful prediction of early acute renal allograft rejection by combination of serum fractalkine, IFN-γ and IP-10[OL].[ 9 May 2018] http://en.paper.edu.cn/en_releasepaper/content/4745000 |
4. The role of sclerostin and receptor activator of nuclear factor κB ligand/osteoprotegerin signalling pathways in chronic periodontitis | |||
Wang Tiantian,Yuan Xuemin,Zhang Xingxing,LI Yue,Pang Yunqing,Wang Xuemei,Wang Jing | |||
Clinical Medicine 20 April 2018
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Show/Hide Abstract | Cite this paper︱Full-text: PDF (457K B) | |||
Abstract: Background: Chronic periodontitis are associated with the resorption of alveolar bone. Sclerostin participates in the process of bone resorption through the RANKL/RANK/OPG pathway. However, the mechanism of bone resorption and sclerostin expression in chronic periodontitis is unclear. In this study, the purpose was to evaluate the mechanism of action of sclerostin in human chronic periodontitis. Methods: Saliva and gingival crevicular fluid were collected from systemically healthy non-periodontitis (n=30) and chronic periodontitis subjects (n=30). The protein levels of sclerostin, RANKL and OPG in saliva and gingival crevicular fluid were detected by enzyme linked immunosorbent assay (ELISA). Results: Sclerostin levels in saliva and gingival crevicular fluid were significantly higher in the chronic periodontitis group than the non-periodontitis group (P < 0.05). The level of OPG is significantly lower but the RANKL level and the ratio of RANKL/OPG was significantly higher than that in the non-periodontitis group in saliva and gingival crevicular fluid (P < 0.05). Sclerostin levels in saliva and gingival crevicular fluid were significantly positively correlated with PD, CAL and BOP (P < 0.05). Conclusions: The results showed that sclerostin may affect bone tissue damage of chronic periodontitis through RANKL/RANK/OPG pathway. It will provide a new insight into the diagnosis and treatment of periodontitis patients. | |||