Evidence map›Paper›PMID 32730696›Full record

ArticleBrain and behavior2020

MicroRNA-345-5p regulates depression by targeting suppressor of cytokine signaling 1.

Yulan Liu, Jun Yu, Xinrui Wang, Jicheng Dong

Abstract read
In one paragraph

Article in Brain and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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  6. 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

4 authors.

Yulan LiuPsychiatric Department, Qingdao Mental Health Center, Qingdao university, Qingdao City, China.
Jun YuPsychiatric Department, Qingdao Mental Health Center, Qingdao university, Qingdao City, China.
Xinrui WangPsychiatric Department, Qingdao Mental Health Center, Qingdao university, Qingdao City, China.
Jicheng DongPsychiatric Department, Qingdao Mental Health Center, Qingdao university, Qingdao City, China.ORCID 0000-0002-7987-4928

Funding

Qingdao 2017 -Medical Research and Guidance Program 2017-WJZD078
6 · The paper itself

Abstract

BACKGROUND/

aimsMicroRNA(miR)-345-5p plays a key role in various cellular functions. However, the function of miR-345-5p in resistant depression (TRD) is unclear. The aim of this study was to evaluate the role and mechanism of miR-345-5p in the treatment of resistance depression (TRD).

methodsRT-qPCR was used to detect the expression of miR-345-5p in BV-2 microglia. CCK-8 method and flow cytometry were used for cell viability and apoptosis of microglia. Target gene prediction and screening, and luciferase reporter assays were used to verify the downstream target gene of miR-345-5p. Western blot was used to analyze the protein expression of related proteins.

resultsmiR-345-5p increased the cell viability of BV-2 microglia and the expression level of pro-inflammatory cytokines. In addition, the conditioned medium of microglia treated with miR-345-5p reduced the cell viability of HT22 hippocampal cells and caused S-phase arrest. The miR-345-5p-treated microglia induced apoptosis by regulating the expression levels of Bax, Bcl-2, pro-caspase-3, and cleaved caspase-3. Furthermore, SOCS1 was a direct target of miR-345-5p, and overexpression of SOCS1 was able to reverse the proapoptotic effect of miR-345-5p on activation of microglia on hippocampal neurons.

conclusionmiR-345-5p induced inflammatory damage in hippocampal neurons by activating microglia. MiR-345-5p may be an effective target for TRD therapy.

Indexed as

DepressionMicroRNAsApoptosisCell SurvivalCytokinesCytokinesMicroRNAsapoptosisCDK6depressionmiR-345-5pSOCS1

Identifiers

PMID32730696
PMCPMC7507044

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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.