Cerebral metabolism alterations influence cerebrospinal fluid (CSF) composition and are sensitive to brain injury. In subarachnoid hemorrhage (SAH) patients, Fisher scale, Hunt-Hess scale, and World Federation of Neurological Societies (WFNS) grading scale evaluating SAH severity are inadequate to predict long-term outcome; therefore, in an effort to determine metabolite pattern disparity and discover corresponding biomarkers, we designed an untargeted CSF metabolomic study covering a broad range of metabolites of SAH patients with different severity and outcome. The present study demonstrated the SAH altered the cerebrospinal fluid metabolome involving carbohydrate, lipid, and amino acid metabolism.
View Article and Find Full Text PDFObjectives: To investigate the relationship between the expression of miR-218 and CDK6 in glioma cells, and their biological impacts on the tumor cell proliferation and apoptosis.
Methods: Expression levels of miR-218 as well as CDK6 and Ki-67 proteins were analyzed in 60 cases of gliomas with various grades and 10 control brain tissue samples by tissue microarray, locked oligonucleotide probe in situ hybridization and immunohistochemistry. Glioblastoma multiform cell line (U87MG) was transfected with miR-218 mimics (mimics group) and a control sequence (control group), followed by qRT-PCR detection of miR-218 and immunocytochemical stain of CDK6 and Ki-67, respectively.
Zhonghua Bing Li Xue Za Zhi
October 2010
Objectives: To investigate the pharmacological effects of azidothymidine (AZT) on p33ING1b expression, senescence and apoptosis of TJ905 glioblastoma cells.
Methods: TJ905 cells were treated with AZT at a serial concentrations of 50, 100 and 200 µmol/L. Semi-quantitative RT-PCR and cytochemical staining of senescence related-galactosidase (sβ-Gal) were used to evaluate the expression of p33ING1b mRNA and to label the senescent cells at the 1st, 3rd and 6th generations, respectively.
Zhonghua Bing Li Xue Za Zhi
September 2010
Objective: To investigate the relationship between chromosomal genomic DNA imbalance in medulloblastoma (MB), and the age and gender.
Methods: The gains and losses of chromosomal genomic DNA in 16 MBs were analyzed using comparative genomic hybridization.
Results: The gains and(or) losses were found in 15 of the 16 cases.
Zhonghua Bing Li Xue Za Zhi
March 2009
Objective: To investigate the pharmacological effects and underlying mechanism of azidothymidine (AZT) on human glioblastoma cells in vitro.
Methods: The telomerase activity of human glioblastoma TJ905 cells was determined by TRAP assay after 24 hrs' incubation with 50, 100, 200 micromol/L AZT and control vehicle solution. Colony formation efficiencies of the cells were recorded.
Zhonghua Bing Li Xue Za Zhi
March 2009
Objective: To investigate genomic DNA imbalances in ependymomas (EDMs) and their correlations with the tumor histological types, grades, locations, patients' gender and age.
Methods: Chromosomal gains and losses in 16 cases of EDM were analyzed using comparative genomic hybridization.
Results: Chromosomal regional gain and loss were found in 15 and 13 of 16 EDM cases respectively including totally 24 regional gains and 19 regional losses in all the tumors studied.
Objective: To investigate the expression of Survivin mRNA in lung cancer tissue microarray (TMA) by fluorescence in situ hybridization (FISH) method, and determine the role and significance of it in lung cancer genesis and progress.
Methods: The expression of Survivin mRNA was detected by FISH method and TMA technology. Fifty-four cases of lung cancer and 10 cases of normal lung tissue were examined.
Background & Objective: The genesis, development, invasion, and metastasis of tumor are closely correlate with alterations of multi-genes. At present, the roles of Kang-ai-1 (KAI1), motility-related protein-1 (MRP-1), and focal adhesion kinase (FAK) in lung cancer have seldom been reported. This study was designed to investigate the roles of KAI1, MRP-1, and FAK in tumorigenesis and development of lung cancer, and their values in diagnosis and predicting the prognosis of lung cancer.
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