Evidence map›Paper›PMID 32179735›Full record

ArticleTranslational psychiatry2020

Circulating microRNA 134 sheds light on the diagnosis of major depressive disorder.

Han-Ping Zhang, Xiao-Lei Liu, Jian-Jun Chen, Ke Cheng, Shun-Jie Bai, Peng Zheng, Chan-Juan Zhou, Wei Wang, Hai-Yang Wang, Lian-Mei Zhong and 1 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
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  14. Effect of Extracellular Ribonucleic Acids on Neurovascularization in Osteoarthritis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  15. Review
  16. Article
  17. Review
  18. The role of microRNAs in depression.Frontiers in pharmacology · 2023
    Review
  19. Therapeutic Implications of microRNAs in Depressive Disorders: A Review.International journal of molecular sciences · 2022
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Han-Ping Zhang *Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Xiao-Lei Liu *Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Yunan, China.
Jian-Jun Chen *Institute of Life Sciences, Chongqing Medical University, Chongqing, 400016, China. chenjianjun@cqmu.edu.cn.
Ke ChengDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Shun-Jie BaiDepartment of Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Peng ZhengDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Chan-Juan ZhouNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, 400016, China.
Wei WangDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Hai-Yang WangDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Lian-Mei ZhongDepartment of Neurology, The First Affiliated Hospital of Kunming Medical University, Yunan, China.
Peng XieDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. xiepeng@cqmu.edu.cn.
Chongqing Medical University · CNFirst Affiliated Hospital of Chongqing Medical University · CNFirst Affiliated Hospital of Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Bipolar DisorderCirculating MicroRNAMajor Depressive DisorderMicroRNAsAnimalsBiomarkersRatsBiomarkersCirculating MicroRNAMicroRNAsMIRN134 microRNA, rat

Identifiers

PMID32179735
PMCPMC7075934
OpenAlexW3011422226

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.