Citation

He M, Zhu X, Niu W, Kong L, Yao G, et al. (2018) Bioinformatics Analysis of Altered lncRNAs in Peripheral Blood Molecular Cells from Major Depressive Disorder (MDD) Patients. Int J Blood Res Disord 5:034. doi.org/10.23937/2469-5696/1410034

Copyright

© 2018 He M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

RESEARCH ARTICLE | OPEN ACCESSDOI: 10.23937/2469-5696/1410034

Bioinformatics Analysis of Altered lncRNAs in Peripheral Blood Molecular Cells from Major Depressive Disorder (MDD) Patients

Guangyao Li1, Mingjun He2, Xiaoli Zhu2, Wei Niu3, Lingming kong2, Gaofeng Yao4, Shengdong Chen5, Liyi Zhang2*

1Psychological Counseling Center, No.904 Hospital of Chinese People's Liberation Army, Changzhou, People's Republic of China

2Prevention and Treatment Center for Psychological Diseases, No.904 Hospital of Chinese People's Liberation Army, Changzhou, People's Republic of China

3Department of Rehabilitation, No.904 Hospital of Chinese People's Liberation Army, Changzhou, People's Republic of China

4Psychiatry Department, Fuyang First People's Hospital, Anhui, People's Republic of China

5Department of Neurology, No.904 Hospital of Chinese People's Liberation Army, Changzhou, People's Republic of China

Abstract

Objective

Based on the prior studies, altered lncRNAs in peripheral blood Molecular Cells (PBMC) from depression patients were chosen to perform informatics analysis for lncRNA target gene prediction and functional annotation.

Methods

Microarray was first used to screen dys regulated lncRNAs in the PBMCs of MDD patients, of which 10 lncRNAs were selected for quantitative real-time Reverse Transcription Polymerase Chain Reaction (RT-PCR) study, as well as bioinformatics analysis.

Results

According to microarray results, the top 10 lncRNAs with highest expression changes were chosen for further validation with qRT-PCR, 9 lncRNAs demonstrate significant down-regulation in expression levels (TCONS_L2_00001212, NONHSAT102891, TCONS_00019174, ENST00000566208, NONHSAG045500, ENST00000591189, ENST00000517573, NONHSAT034045, NONHSAT142707)(P < 0.05). lncRNA target gene prediction and functional annotation analysis showed a significant enrichments in several gene ontology (GO) biological process and Kyoto encyclopedia of genes and genomes (KEGG) pathways associated with nervous system and brain functions, suggesting that the differentially expressed lncRNAs may be involved in mechanism of MDD. Cytoscape network chart indicated that TCONS_L2_00001212, NONHSAT102891, TCONS_00019174, ENST00000566208, NONHSAG045500, ENST00000591189, ENST00000517573, NONHSAT034045 and NONHSAT142707 also provide clues for the association of lncRNAs with MDD.

Conclusions

Altered expression of lncRNAs (TCONS_L2_00001212, NONHSAT102891, TCONS_00019174, ENST00000566208, NONHSAG045500, ENST00000591189, ENST00000517573, NONHSAT034045 and NONHSAT142707) might be involved in MDD pathogenesis and may serve as noninvasive biomarker for MDD diagnosis.