Evidence map›Paper›PMID 29593587›Full record

ArticleFrontiers in psychiatry2018

Circulating MicroRNA Expression Levels Associated With Internet Gaming Disorder.

Minho Lee, Hyeyoung Cho, Seung Hyun Jung, Seon-Hee Yim, Sung-Min Cho, Ji-Won Chun, Soo-Hyun Paik, Yae Eun Park, Dong Huey Cheon, Ji Eun Lee and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.2field-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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. The plasma miRNAome in ADNI: Signatures to aid the detection of at-risk individuals.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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  10. Targets and regulation of microRNA-652-3p in homoeostasis and disease.Journal of molecular medicine (Berlin, Germany) · 2021
    Review
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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

13 authors at 5 institutions in 1 country.

Minho LeeCatholic Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Hyeyoung ChoIntegrated Research Center for Genome Polymorphism, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Seung Hyun JungIntegrated Research Center for Genome Polymorphism, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Seon-Hee YimIntegrated Research Center for Genome Polymorphism, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Sung-Min ChoIntegrated Research Center for Genome Polymorphism, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Ji-Won ChunDepartment of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Soo-Hyun PaikDepartment of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Yae Eun ParkDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul, South Korea.
Dong Huey CheonCenter for Theragnosis, Biomedical Research Institute, Korea Institute of Science and Technology, Seoul, South Korea.
Ji Eun LeeCenter for Theragnosis, Biomedical Research Institute, Korea Institute of Science and Technology, Seoul, South Korea.
Jung-Seok ChoiDepartment of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, South Korea.
Dai-Jin KimDepartment of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Yeun-Jun ChungCatholic Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Catholic University of Korea · KRKorea Institute of Science and Technology · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KRSNUH SMG-SNU Boramae Medical Center · KRSogang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAddictive use of the Internet and online games is a potential psychiatric disorder termed Internet gaming disorder (IGD). Altered microRNA (miRNA) expression profiles have been reported in blood and brain tissue of patients with certain psychiatric disorders and suggested as biomarkers. However, there have been no reports on blood miRNA profiles in IGD.

methodsTo discover IGD-associated miRNAs, we analyzed the miRNA expression profiles of 51 samples (25 IGD and 26 controls) using the TaqMan Low Density miRNA Array. For validation, we performed quantitative reverse transcription PCR with 36 independent samples (20 IGD and 16 controls).

resultsThrough discovery and independent validation, we identified three miRNAs (hsa-miR-200c-3p, hsa-miR-26b-5p, hsa-miR-652-3p) that were significantly downregulated in the IGD group. Individuals with all three miRNA alterations had a much higher risk of IGD than those with no alteration [odds ratio (OR) 22, 95% CI 2.29-211.11], and the ORs increased dose dependently with number of altered miRNAs. The predicted target genes of the three miRNAs were associated with neural pathways. We explored the protein expression of the three downstream target genes by western blot and confirmed that expression of GABRB2 and DPYSL2 was significantly higher in the IGD group.

conclusionWe observed that expressions of hsa-miR-200c-3p, hsa-miR-26b-5p, and hsa-miR-652-3p were downregulated in the IGD patients. Our results will be helpful to understand the pathophysiology of IGD.

Indexed as

addictionbiomarkerInternet gaming disordermicroRNAwestern blot

Identifiers

PMID29593587
PMCPMC5858605
OpenAlexW2790677272

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.