Publications by authors named "Chang-Liang Su"
Objective: This study aimed to noninvasively characterize the metabolic alterations in ischemic brain tissues using Z-spectrum-fitted multiparametric chemical exchange saturation transfer-weighted magnetic resonance imaging (CEST-MRI).
Methods: Three sets of Z-spectrum data with saturation power (B) values of 1.5, 2.
Article Synopsis
- A study was conducted to evaluate the effectiveness of neurite orientation dispersion and density imaging (NODDI) for grading gliomas and assessing cellular proliferation in 79 patients with confirmed gliomas.
- The results indicated that higher tumor grades corresponded with increased intracellular volume fraction (ICVF) and orientation dispersion index (ODI), while the apparent diffusion coefficient (ADC) decreased, demonstrating significant differences between low-grade and high-grade gliomas.
- Additionally, there were strong correlations between Ki-67 expression (a marker for cellular proliferation) and the NODDI metrics, suggesting that NODDI could be a valuable tool in both grading gliomas and predicting tumor growth.
It has recently been shown that JARID2 contributes to the malignant character of solid tumors, such as epithelial-mesenchymal transition in lung and colon cancer cell lines, but its role in leukemia progression is unexplored. In this study, we explored the effect and underlying molecular mechanism of JARID2 on leukemia cell proliferation. Real-time PCR and Western assay were carried out to detect JARID2 and CCND1 expression.
View Article and Find Full Text PDFBackground: Although many epidemiologic studies have investigated the methylenetetrahydrofolate reductase (MTHFR) gene polymorphisms and their association with acute lymphoblastic leukemia (ALL), definitive conclusions cannot be drawn. To clarify the effects of MTHFR polymorphisms on the risk of ALL, a meta-analysis was performed in a Chinese population.
Materials And Methods: A computerized literature search was carried out in PubMed, the Chinese Biomedicine (CBM) database, China National Knowledge Infrastructure (CNKI) platform, and the Wanfang database (Chinese) to collect relevant articles.