Evidence map›Paper›PMID 30181751›Full record

ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2018

Serum-based microRNA biomarkers for major depression: MiR-16, miR-135a, and miR-1202.

Ali Gheysarzadeh, Nourkhoda Sadeghifard, Loghman Afraidooni, Farahnaz Pooyan, Mohammad Reza Mofid, Hassan Valadbeigi, Hadi Bakhtiari, Sattar Keikhavani

Open access · goldAbstract read
In one paragraph

Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 8% 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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

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  15. Decoding serotonin: the molecular symphony behind depression.Frontiers in cellular neuroscience · 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

8 authors at 4 institutions in 1 country.

Ali GheysarzadehClinical Microbiology Research Centre, Ilam University of Medical Sciences, Ilam, Iran.
Nourkhoda SadeghifardClinical Microbiology Research Centre, Ilam University of Medical Sciences, Ilam, Iran.
Loghman AfraidooniClinical Microbiology Research Centre, Ilam University of Medical Sciences, Ilam, Iran.
Farahnaz PooyanClinical Microbiology Research Centre, Ilam University of Medical Sciences, Ilam, Iran.
Mohammad Reza MofidDepartment of Biochemistry, School of Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran.
Hassan ValadbeigiClinical Microbiology Research Centre, Ilam University of Medical Sciences, Ilam, Iran.
Hadi BakhtiariDepartment of Biochemistry, School of Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran.
Sattar KeikhavaniDepartment of Clinical Psychology, Ilam University of Medical Sciences, Ilam, Iran.
Isfahan University of Medical Sciences · IRIlam University · IRMedical University of Ilam · IRIslamic Azad University, Science and Research Branch · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a common medical condition with a high prevalence leading to emotional abnormality. Despite some drawbacks, depression currently diagnosed using a combination of patient interviews and self-report questionnaires. Recently, there is emerging emphasis to establish biomarkers to diagnosis and clinical management of depression. This case-control study was designed to develop microRNA (miRNA)-based serum biomarker for depression. MATERIALS AND

methodsIn this study, 39 patients with depression and 36 healthy controls were enrolled. Serum miRNAs gene expression was measured using real-time polymerase chain reaction (PCR) analysis; finally, the data represent as the 2

resultsThe serum level of miR-16 was significantly (

conclusionOur findings showed that these miRNA can be used as a biomarker of depression diagnosis. MiR-135a and miR-1202 exhibited better sensitivity and specificity, respectively.

Indexed as

DepressionmicroRNAssensitivityserum biomarkerspecificity

Identifiers

PMID30181751
PMCPMC6116664
OpenAlexW2888067800

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.