Abstract

Major depressive disorder (MDD) is a prevalent and debilitating psychiatric mood disorder that lacks objective laboratory-based tests to support its diagnosis. A class of microRNAs (miRNAs) has been found to be centrally involved in regulating many molecular processes fundamental to central nervous system function. Among these miRNAs, miRNA-134 (miR-134) has been reported to be related to neurogenesis and synaptic plasticity. In this study, the hypothesis that plasma miR-134 can be used to diagnose MDD was tested. Perturbation of peripheral and central miR-134 in a depressive-like rat model was also examined. By reverse-transcription quantitative PCR, miR-134 was comparatively measured in a small set of plasma samples from MDD and healthy control (HC) subjects. To determine its diagnostic efficacy, plasma miR-134 levels were assessed in 100 MDD, 50 bipolar disorder (BD), 50 schizophrenic (SCZ), and 100 HC subjects. A chronic unpredictable mild stress (CUMS) rat model was also developed to evaluate miR-134 expression in plasma, hippocampus (HIP), prefrontal cortex (PFC), and olfactory bulb. We found that plasma miR-134 was significantly downregulated in MDD subjects. Diagnostically, plasma miR-134 levels could effectively distinguish MDD from HC with 79% sensitivity and 84% specificity, while distinguishing MDD from HC, BD, and SCZ subjects with 79% sensitivity and 76.5% specificity. Congruent with these clinical findings, CUMS significantly reduced miR-134 levels in the rat plasma, HIP, and PFC. Although limited by the relatively small sample size, these results demonstrated that plasma miR-134 displays potential ability as a biomarker for MDD.

Details

Title
Circulating microRNA 134 sheds light on the diagnosis of major depressive disorder
Author
Han-ping, Zhang 1 ; Xiao-lei, Liu 2 ; Chen, Jian-jun 3 ; Cheng, Ke 1 ; Shun-Jie, Bai 4 ; Zheng, Peng 1 ; Chan-juan, Zhou 5 ; Wang, Wei 1 ; Hai-yang, Wang 1 ; Lian-mei, Zhong 2 ; Xie, Peng 6 

 The First Affiliated Hospital of Chongqing Medical University, Department of Neurology, Chongqing, China (GRID:grid.452206.7); Chongqing Medical University, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing, China (GRID:grid.203458.8) (ISNI:0000 0000 8653 0555) 
 The First Affiliated Hospital of Kunming Medical University, Department of Neurology, Yunan, China (GRID:grid.414902.a) 
 Chongqing Medical University, Institute of Life Sciences, Chongqing, China (GRID:grid.203458.8) (ISNI:0000 0000 8653 0555) 
 The First Affiliated Hospital of Chongqing Medical University, Department of Laboratory, Chongqing, China (GRID:grid.452206.7) 
 Chongqing Medical University, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing, China (GRID:grid.203458.8) (ISNI:0000 0000 8653 0555) 
 The First Affiliated Hospital of Chongqing Medical University, Department of Neurology, Chongqing, China (GRID:grid.452206.7); Chongqing Medical University, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing, China (GRID:grid.203458.8) (ISNI:0000 0000 8653 0555); Yongchuan Hospital of Chongqing Medical University, Department of Neurology, Chongqing, China (GRID:grid.203458.8) (ISNI:0000 0000 8653 0555) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
21583188
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2377671812
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.