Center for Translational Medicine Research and Development, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Research Center for Reproduction and Health Development, Institute of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Obesity (Silver Spring). 2019 Oct;27(10):1644-1651. doi: 10.1002/oby.22590. Epub 2019 Aug 29.
The aim of this study was to understand more about long noncoding RNAs (lncRNAs) as potential prediction biomarkers or therapeutic targets for obesity and type 2 diabetes mellitus (T2DM). This study aimed to find more lncRNA candidates related to obesity and T2DM.
In this study, a high-fat diet (HFD)-induced obesity-T2DM mouse model was used, and a mRNA and lncRNA expression map was drawn up in adipose tissue by microarray technology. Then Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis were performed and revealed that the most associated genes and pathways were metabolism-related ones. The candidate lncRNA expression was further validated in adipose tissue from HFD-induced mice by quantitative real-time polymerase chain reaction analysis.
Transcriptome analyses were performed to show expression profiles of mRNAs and lncRNAs in epididymal adipose tissue in the obesity-T2DM mice. A total of 124 lncRNAs and 1,606 mRNAs were differentially expressed between the chow and HFD groups. Then, an mRNA-lncRNA coexpression network was constructed. Based on a series of analyses, 15 candidate lncRNAs were screened, and their expression was further validated by quantitative real-time polymerase chain reaction analysis.
The results reveal significant differences between the transcriptomes of the HFD and control groups in adipose tissue that provide clues to the molecular mechanisms of diet-induced metabolic disorders as well as biomarkers of risk for these disorders.
本研究旨在探讨长链非编码 RNA（lncRNA）作为肥胖和 2 型糖尿病（T2DM）潜在预测生物标志物或治疗靶点的作用。本研究旨在寻找更多与肥胖和 T2DM 相关的 lncRNA 候选物。
本研究采用高脂肪饮食（HFD）诱导的肥胖-T2DM 小鼠模型，通过微阵列技术绘制脂肪组织中的 mRNA 和 lncRNA 表达图谱。然后进行基因本体分析和京都基因与基因组百科全书通路分析，结果表明最相关的基因和通路与代谢有关。通过定量实时聚合酶链反应分析进一步验证候选 lncRNA 在 HFD 诱导的小鼠脂肪组织中的表达。
进行转录组分析以显示肥胖-T2DM 小鼠附睾脂肪组织中 mRNA 和 lncRNA 的表达谱。HFD 组和对照组之间共有 124 个 lncRNA 和 1606 个 mRNA 表达差异。然后构建了一个 mRNA-lncRNA 共表达网络。基于一系列分析，筛选出 15 个候选 lncRNA，并通过定量实时聚合酶链反应分析进一步验证其表达。
结果揭示了脂肪组织中 HFD 和对照组转录组之间的显著差异，为饮食诱导的代谢紊乱的分子机制以及这些紊乱的风险标志物提供了线索。
