Evidence map›Paper›PMID 37308778›Full record

ArticleCNS neuroscience & therapeutics2023

Clinical and preclinical evaluation of miR-144-5p as a key target for major depressive disorder.

Xiaodong Wu, Yulong Zhang, Ping Wang, Xiaohui Li, Zhen Song, Chuke Wei, Qing Zhang, Bei Luo, Zhichun Liu, Yingying Yang and 2 more

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
6.7field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  5. Association between miR-182 rs76481776 Polymorphism and Antidepressant Treatment Response in Patients with Depression.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
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  17. Hallmarks of Brain Plasticity.Biomedicines · 2025
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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

12 authors at 1 institution in 1 country.

Xiaodong WuDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.ORCID 0000-0001-8407-8398
Yulong ZhangDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Ping WangDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Xiaohui LiDepartment of Anatomy, Anhui Medical University, Hefei, China.
Zhen SongDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Chuke WeiDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Qing ZhangDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Bei LuoDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Zhichun LiuDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Yingying YangDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Zhenhua RenDepartment of Anatomy, Anhui Medical University, Hefei, China.
Huanzhong LiuDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeuronal abnormalities are closely associated with major depressive disorder (MDD). Available evidence suggests a role for microRNAs (miRNAs) in regulating the expression of genes involved in MDD. Hence, miRNAs that can be potential therapeutic targets need to be identified.

methodsA mouse model of chronic unpredictable stress (CUS) was used to evaluate the function of miRNAs in MDD. miR-144-5p was screened from the hippocampi of CUS mice based on sequencing results. Adenovirus-associated vectors were used to overexpress or knockdown miR-144-5p in mice. BpV(pic) and LY294002 were used to determine the relationship between miR-144-5p target genes PTEN and TLR4 in neuronal impairment caused by miR-144-5p deficiency. Western blotting, immunofluorescence, ELISA immunosorbent assay, and Golgi staining were used to detect neuronal abnormalities. Serum samples from healthy individuals and patients with MDD were used to detect miR-144-5p levels in the serum and serum exosomes using qRT-PCR.

resultsmiR-144-5p expression was significantly decreased within the hippocampal dentate gyrus (DG) of CUS mice. Upregulation of miR-144-5p in the DG ameliorated depression-like behavior in CUS mice and attenuated neuronal abnormalities by directly targeting PTEN and TLR4 expression. Furthermore, miR-144-5p knockdown in normal mice led to depression-like behavior via inducing neuronal abnormalities, including abnormal neurogenesis, neuronal apoptosis, altered synaptic plasticity, and neuroinflammation. miR-144-5p deficiency-mediated neuronal impairment was mediated by PI3K/Akt/FoxO1 signaling. Furthermore, miR-144-5p levels were downregulated in the sera of patients with MDD and associated with depressive symptoms. Consistently, serum exosome-derived miR-144-5p levels were decreased in patients with MDD.

conclusionmiR-144-5p plays a vital role in regulating neuronal abnormalities in depression. Our findings provide translational evidence that miR-144-5p is a new potential therapeutic target for MDD.

Indexed as

Major Depressive DisorderMicroRNAsAnimalsHumansMicePhosphatidylinositol 3-KinasesSignal TransductionToll-Like Receptor 4MicroRNAsMIRN144 microRNA, humanPhosphatidylinositol 3-KinasesToll-Like Receptor 4depressionmiR-144-5pneuroinflammationneuronal destruction

Identifiers

PMID37308778
PMCPMC10580367
OpenAlexW4380421968

What Socratic 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 Socratic graph.