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女性糖尿病周围神经病变患者长链非编码RNA的微阵列分析

Microarray Analysis of Long Noncoding RNAs in Female Diabetic Peripheral Neuropathy Patients.

作者信息

Luo Lin, Ji Lin-Dan, Cai Jiang-Jia, Feng Mei, Zhou Mi, Hu Su-Pei, Xu Jin, Zhou Wen-Hua

机构信息

Zhejiang Key Laboratory of Pathophysiology, Medical School of Ningbo University, Ningbo, China.

Department of Biochemistry, Medical School of Ningbo University, Ningbo, China.

出版信息

Cell Physiol Biochem. 2018;46(3):1209-1217. doi: 10.1159/000489071. Epub 2018 Apr 16.

Abstract

BACKGROUND/AIMS: Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes mellitus (DM). Because of its controversial pathogenesis, DPN is still not diagnosed or managed properly in most patients.

METHODS

In this study, human lncRNA microarrays were used to identify the differentially expressed lncRNAs in DM and DPN patients, and some of the discovered lncRNAs were further validated in additional 78 samples by quantitative realtime PCR (qRT-PCR).

RESULTS

The microarray analysis identified 446 and 1327 differentially expressed lncRNAs in DM and DPN, respectively. The KEGG pathway analysis further revealed that the differentially expressed lncRNA-coexpressed mRNAs between DPN and DM groups were significantly enriched in the MAPK signaling pathway. The lncRNA/mRNA coexpression network indicated that BDNF and TRAF2 correlated with 6 lncRNAs. The qRT-PCR confirmed the initial microarray results.

CONCLUSION

These findings demonstrated that the interplay between lncRNAs and mRNA may be involved in the pathogenesis of DPN, especially the neurotrophin-MAPK signaling pathway, thus providing relevant information for future studies.

摘要

背景/目的:糖尿病周围神经病变(DPN)是糖尿病(DM)最常见的并发症。由于其发病机制存在争议,大多数DPN患者仍未得到正确诊断和治疗。

方法

在本研究中,使用人类lncRNA微阵列来鉴定DM和DPN患者中差异表达的lncRNA,并且通过定量实时PCR(qRT-PCR)在另外78个样本中进一步验证了一些发现的lncRNA。

结果

微阵列分析分别在DM和DPN中鉴定出446个和1327个差异表达的lncRNA。KEGG通路分析进一步显示,DPN组和DM组之间差异表达的lncRNA共表达的mRNA在MAPK信号通路中显著富集。lncRNA/mRNA共表达网络表明BDNF和TRAF2与6个lncRNA相关。qRT-PCR证实了最初的微阵列结果。

结论

这些发现表明lncRNA与mRNA之间的相互作用可能参与DPN的发病机制,尤其是神经营养因子-MAPK信号通路,从而为未来的研究提供相关信息。

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