Evidence map›Paper›PMID 25763923›Full record

ArticlePloS one2015

Identification of differential microRNAs in cerebrospinal fluid and serum of patients with major depressive disorder.

Yunqiang Wan, Yuanhui Liu, Xiaobin Wang, Jiali Wu, Kezhi Liu, Jun Zhou, Li Liu, Chunxiang Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 4 pooled it
6.7field-weighted citation impact, top 2% 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

104 citing papers in PubMed, 4 syntheses or guidelines pooled it, 176 citations in OpenAlex.

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  10. Long Non-Coding RNA: Potential Diagnostic and Therapeutic Biomarker for Major Depressive Disorder.Medical science monitor : international medical journal of experimental and clinical research · 2016
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44 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 2 countries.

Yunqiang WanDepartment of Anesthesiology and Psychiatry, Affiliated Hospital of Luzhou Medical College, Luzhou, Sichuan Province, China.
Yuanhui LiuDepartment of Anesthesiology and Psychiatry, Affiliated Hospital of Luzhou Medical College, Luzhou, Sichuan Province, China.
Xiaobin WangDepartment of Anesthesiology and Psychiatry, Affiliated Hospital of Luzhou Medical College, Luzhou, Sichuan Province, China.
Jiali WuDepartment of Anesthesiology and Psychiatry, Affiliated Hospital of Luzhou Medical College, Luzhou, Sichuan Province, China.
Kezhi LiuDepartment of Psychiatry, Affiliated Hospital of Luzhou Medical College, Luzhou, Sichuan Province, China.
Jun ZhouDepartment of Anesthesiology and Psychiatry, Affiliated Hospital of Luzhou Medical College, Luzhou, Sichuan Province, China.
Li LiuDepartment of Anesthesiology and Psychiatry, Affiliated Hospital of Luzhou Medical College, Luzhou, Sichuan Province, China.
Chunxiang ZhangDepartment of Pharmacology, Rush Medical College, Rush University, Chicago, IL, United States of America.
Southwest Medical University · CNFirst Affiliated Hospital of Sichuan Medical University · CNRush University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depression is a debilitating disease. To date, the development of biomarkers of major depressive disorder (MDD) remains a challenge. Recently, alterations in the expression of microRNAs (miRNAs) from post-mortem brain tissue and peripheral blood have been linked to MDD. The goals of this study were to detect the differential miRNAs in cerebrospinal fluid (CSF) and serum of MDD patients. First, the relative expression levels of 179 miRNAs (relative high levels in serum) were analyzed by miRNA PCR Panel in the CSF of MDD patients. Then, the differentially altered miRNAs from CSF were further assessed by qRT-PCR in the serum of the same patients. Finally, the serum differentially altered miRNAs were further validated by qRT-PCR in the serum of another MDD patients. The CSF-results indicated that 11 miRNAs in MDD patients were significantly higher than these in control subjects, and 5 miRNAs were significantly lower than these in control subjects. The serum-results from the same patients showed that 3 miRNAs (miR-221-3p, miR-34a-5p, and let-7d-3p) of the 11 miRNAs were significantly higher than these in control subjects, and 1 miRNA (miR-451a) of 5 miRNAs was significantly lower than these in control subjects. The up-regulation of miR-221-3p, miR-34a-5p, let-7d-3p and down-regulation of miR-451a was further validated in another 32 MDD patients. ROC analysis showed that the area under curve of let-7d-3p, miR-34a-5p, miR-221-3p and miR-451a was 0.94, 0.98, 0.97 and 0.94, with specificity of 90.48%, 95.24%, 90.48% and 90.48%, and sensitivity of 93.75%, 96.88%, 90.63% and 84.85%, respectively. In addition, target gene prediction found that the altered miRNAs are involved in affecting some important genes and pathway related to MDD. Our results suggested that differentially altered miRNAs in CSF might be involved in MDD, and serum miR-221-3p, miR-34a-5p, let-7d-3p, and miR-451a might be able to serve as biomarkers for MDD.

Indexed as

AdultBiomarkersFemaleHumansMajor Depressive DisorderMaleMicroRNAsPrognosisYoung AdultBiomarkersMicroRNAs

Identifiers

PMID25763923
PMCPMC4357380
OpenAlexW1965831320

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.