Evidence map›Paper›PMID 35409234›Full record

Trial reportInternational journal of molecular sciences2022

Multiple Pre-Treatment miRNAs Levels in Untreated Major Depressive Disorder Patients Predict Early Response to Antidepressants and Interact with Key Pathways.

Masaki Kato, Haruhiko Ogata, Hidetoshi Tahara, Akira Shimamoto, Yoshiteru Takekita, Yosuke Koshikawa, Keiichiro Nishida, Shinpei Nonen, Koichiro Higasa, Toshihiko Kinoshita

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  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
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Research progress on the correlation between transforming growth factor-Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2023
    Review
  12. Review
  13. Review
  14. 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

10 authors at 4 institutions in 1 country.

Masaki KatoDepartment of Neuropsychiatry, Kansai Medical University, Osaka 573-1191, Japan.ORCID 0000-0001-6727-7272
Haruhiko OgataDepartment of Neuropsychiatry, Kansai Medical University, Osaka 573-1191, Japan.
Hidetoshi TaharaDepartment of Cellular and Molecular Biology, Graduate School of Biomedical & Health Sciences, Hiroshima University, Hiroshima 734-8533, Japan.ORCID 0000-0003-3054-4175
Akira ShimamotoFaculty of Pharmaceutical Sciences, Sanyo-Onoda City University, Sanyo Onoda 756-0084, Japan.
Yoshiteru TakekitaDepartment of Neuropsychiatry, Kansai Medical University, Osaka 573-1191, Japan.ORCID 0000-0003-2435-4033
Yosuke KoshikawaDepartment of Neuropsychiatry, Kansai Medical University, Osaka 573-1191, Japan.ORCID 0000-0002-6736-092X
Keiichiro NishidaDepartment of Neuropsychiatry, Kansai Medical University, Osaka 573-1191, Japan.
Shinpei NonenDepartment of Pharmacy, Hyogo University of Health Sciences, Kobe 650-8530, Japan.
Koichiro HigasaDepartment of Genome Analysis, Institute of Biomedical Science, Kansai Medical University, Osaka 573-1191, Japan.
Toshihiko KinoshitaDepartment of Neuropsychiatry, Kansai Medical University, Osaka 573-1191, Japan.
Kansai Medical University · JPHiroshima University · JPHyogo University of Health Sciences · JPSanyo-Onoda City University · JP

Funding

Grant-in-Aid for Scientific Research No. 23591684
6 · The paper itself

Abstract

Major depressive disorder (MDD) is a life-impairing disorder, and early successful treatment is important for a favorable prognosis. However, early response to antidepressants differs widely among individuals, and is difficult to predict pre-treatment. As miRNAs have been reported to play important roles in depression, identification of miRNAs associated with antidepressant treatment responses and their interacting genes and pathways will be beneficial in understanding the predictors and molecular mechanisms of depression treatment. This randomized control trial examined miRNAs correlated with the early therapeutic effect of selective serotonin reuptake inhibitors (SSRIs; paroxetine or sertraline) and mirtazapine monotherapy. Before medication, we comprehensively analyzed the miRNA expression of 92 depressed participants and identified genes and pathways interacting with miRNAs. A total of 228 miRNAs were significantly correlated with depressive symptoms improvements after 2 weeks of SSRIs treatment, with miR-483.5p showing the most robust correlation. These miRNAs are involved in 21 pathways, including TGF-β, glutamatergic synapse, long-term depression, and the mitogen-activated protein kinase (MAPK) signaling pathways. Using these miRNAs enabled us to predict SSRI response at week 2 with a 57% difference. This study shows that pre-treatment levels of miRNAs could be used to predict early responses to antidepressant administration, a knowledge of genes, and an identification of genes and pathways associated with the antidepressant response.

Indexed as

Major Depressive DisorderMicroRNAsAntidepressive AgentsHumansMirtazapineSelective Serotonin Reuptake InhibitorsAntidepressive AgentsMicroRNAsMirtazapineSelective Serotonin Reuptake Inhibitorsglutamatergic synapsemajor depressive disordermiR-1202miR-483-5pmiRNAmirtazapinepredictorrandomized controlled trialselective serotonin reuptake inhibitorTGF-β

Identifiers

PMID35409234
PMCPMC8999364
OpenAlexW4220671154

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.