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全血细胞和胰岛素敏感组织的 DNA 微阵列分析表明,血液 RNA 谱分析作为预测 2 型糖尿病标志物的来源具有一定的作用。

DNA microarray analysis of whole blood cells and insulin-sensitive tissues reveals the usefulness of blood RNA profiling as a source of markers for predicting type 2 diabetes.

机构信息

Laboratory of Innovative Nanomedicine, Graduate School of Pharmaceutical Sciences, Hokkaido University, Sapporo, Hokkaido, Japan.

出版信息

Biol Pharm Bull. 2010;33(6):1033-42. doi: 10.1248/bpb.33.1033.

Abstract

To determine if gene expression profiling of whole blood cells is a useful source of markers for the early diagnosis of the onset of type 2 diabetes, we examined gene expression profiling of whole blood cells and type 2 diabetes-related organs, such as liver, adipose tissue, and skeletal muscle, of Otsuka Long-Evans Tokushima Fatty (OLETF) rats. At the age of 6 weeks, RNA was isolated from tissues of fasted OLETF and control Long-Evans Tokushima Otsuka (LETO) rats. Gene expression was analyzed using the Agilent rat oligo microarray. Gene ontology analysis showed that gene expression of biologically meaningful groups of genes in liver, adipose tissue, and skeletal muscle, which are involved in the pathogenesis of type 2 diabetes, differed between OLETF and LETO rats. Three hundred genes of whole blood cells were differentially expressed. Four out of these 300 genes were related to the insulin-signaling pathway and 57 out of 300 genes were up- or down-regulated in at least one tissues in OLETF rats. These results support our hypothesis that gene expression profiling of whole blood cells might be a useful source of markers to predict the onset of type 2 diabetes.

摘要

为了确定全血细胞基因表达谱是否是 2 型糖尿病早期诊断的有用标志物来源,我们检测了 Otsuka Long-Evans Tokushima Fatty(OLETF)大鼠的全血细胞和 2 型糖尿病相关器官(如肝脏、脂肪组织和骨骼肌)的基因表达谱。在 6 周龄时,从禁食的 OLETF 和对照 Long-Evans Tokushima Otsuka(LETO)大鼠的组织中分离 RNA。使用 Agilent 大鼠寡核苷酸微阵列分析基因表达。基因本体论分析表明,涉及 2 型糖尿病发病机制的肝脏、脂肪组织和骨骼肌中生物学意义上有意义的基因群的基因表达在 OLETF 和 LETO 大鼠之间存在差异。全血细胞中有 300 个基因表达差异。其中 4 个基因与胰岛素信号通路有关,300 个基因中有 57 个在 OLETF 大鼠的至少一种组织中上调或下调。这些结果支持我们的假设,即全血细胞基因表达谱可能是预测 2 型糖尿病发病的有用标志物来源。

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