Jiang Y.-Q.,The 44th Hospital of PLA |
Liu J.-C.,The 184th Hospital of PLA |
Ye X.-J.,Orthopedics Hospital of Shanghai Changzheng Hospital |
Hu Y.,The 44th Hospital of PLA |
Qu J.-T.,The 44th Hospital of PLA
Chinese Journal of Tissue Engineering Research | Year: 2014
BACKGROUND: Ligamentum flavum hypertrophy is one of the most important factors of lumbar spinal stenosis, but the molecular mechanism is still not very clear. OBJECTIVE: To explore the role of basic fibroblast growth factor, connective tissue growth factor and transforming growth factor β1 in hypertrophy of the lumbar ligamentum flavum. METHODS: The ligamentum flavum samples were divided into three groups according to different diseases: control group (acquired from the patients with lumbar spinal canal tumor, n=6), lumbar disc herniation (LDH) group (acquired from the patients with LDH, n=6) and lumbar spinal stenosis (LSS) group (acquired from the patients with LSS, n=6). Then the mRNA expressions of basic fibroblast growth factor, connective tissue growth factor, transforming growth factor β1 and collagen I, III, V of the ligamentum flavum were detected using real-time quantitative RT-PCR method. The roles of basic fibroblast growth factor, connective tissue growth factor and transforming growth factor β1 were explored. RESULTS AND CONCLUSION: The expression of basic fibroblast growth factor mRNA in the LSS group wassignificantly higher than that in the LDH and control groups (both P < 0.05); the expression of connective tissue growth factor mRNA was not found statistically different among the three groups, although it was slightly higher in the LSS group (P > 0.05); the expression of transforming growth factor β1 mRNA was significantly higher in the LSS group than in the LDH and control groups (both P < 0.01). The collagen I mRNA expressed significantly higher in the LSS group than the LDH and control groups (both P < 0.05), but both the collagen III and V mRNA showed no significant difference among the three groups (P > 0.05). This study indicate that both basic fibroblast growth factor and transforming growth factor β1 play important roles in the formation process of the lumbar ligamentum flavum hypertrophy, and the main type of the collagen in the hypertrophied ligamentum flavum is collagen I. © 2014, Journal of Clinical Rehabilitative Tissue Engineering Research. All rights reserved.
Xu H.,Shanghai University |
Chen Y.,Shanghai University |
Tan C.,Fudan University |
Xu T.,Shanghai University |
And 9 more authors.
American Journal of Translational Research | Year: 2016
Primary glioblastoma always has a fatal outcome despite maximal therapy. Identification and validation of prognostic biomarkers and novel therapeutics will be potentially powerful to transform the care of glioblastoma patients. In this study, we constructed Affymetrix gene microarrays with 14 glioma samples to screen for genes with potential prognostic value by hieratical clustering, and 83 genes including WD-repeat containing protein 1 (WDR1) were filtered out. WDR1 is a major co-factor collaborating with cofilin in actin cytoskeletal dynamics, which may play vital role in glioma proliferation and invasion. Further, The Cancer Genome Atlas (TCGA) database was utilizedto verify the expression of WDR1 and its prognostic implicationin 528 glioblastoma specimens. Survival and correlation analyses showed WDR1 expression was highly expressed and related to the prognosis of glioblastoma and the expression of signal transducer and activator of transcription 3 (STAT3), respectively (p<0.05). Finally, WDR1 expression was detected in our large cohort containing 258 glioma patients (including 100 primary glioblastomas).And univariate and multivariate analyses confirmed that high WDR1 expression was an independent prognostic factor for a shorter progression-free survival (PFS) and overall survival (OS) in primary glioblastoma patients at our center [hazard ratio (HR)=1.844, p=0.005 and HR=2.085, p=0.001, respectively]. Together, WDR1 is significantly over-expressed in primary glioblastoma. High expression of WDR1 can independently predict unfavorable clinical outcome for primary glioblastoma patients. This study identifies a novel prognostic biomarker and a potential therapeutic target for glioblastoma. © 2016, E-Century Publishing Corporation. All rights reserved.
Zhou J.-J.,The 184th Hospital of PLA |
Zhu Z.-Y.,The 184th Hospital of PLA |
Zhao M.,The 184th Hospital of PLA |
Yan Y.-B.,PLA Fourth Military Medical University |
And 5 more authors.
Chinese Journal of Tissue Engineering Research | Year: 2013
Background: X-ray and CT data are common approaches for judging whether femur can be disrupted or not after removing fixation under normal standing. Objective: To analyze the bone healing model through finite element method after treated with intramedullary nail fixation for 1 year, and to investigate whether this method can judge disrupt or not on the fracture site after removing fixation. Methods: Depend on fast individual establishment method, bone healing model of femur fracture were constructed based on data from multi-slice spiral CT with Mimics, Geomagic Studio and Abaqus softwares. And then four kinds of methods were used: no reduce; the surface mesh excluding healing area reduced for 50%; the surface mesh excluding healing area reduced for 20%; the surface mesh excluding healing area reduced for 10%. Finite element analysis was performed on the four models above. The models were loaded with 3 or 9 times weight loads and constraints to observe the maximum von Mises stress and the location. Results and Conclusion: According to material properties, the node of the maximum and minimum Mises stress of different kinds of materials were same under different stress loadings. The maximum von Mises stress in different materials appeared in the fracture site, and the nodes of maximum von Mises stress of different methods were similar, both in the middle and distal 1/4 junction part. The value of model with surface meshing reduced for 10% was minimum, and time of meshing, assigning material and finite element analysis were shortest. Appropriate individual modeling method can rapidly judge whether disrupt or not in the fracture site after removing fixation through finite element analysis on the fracture model.