Evidence map›Paper›PMID 38764867›Full record

ArticlePsychiatry and clinical psychopharmacology2022

Can miRNA Expression Levels Predict Treatment Resistance to Serotonin Reuptake Inhibitors in Patients with Obsessive-Compulsive Disorder?

Efruz Pirdoğan Aydın, Hani Alsaadoni, Azra Gökovalı Beğenen, Ömer Akil Özer, Kayıhan Oğuz Karamustafalıoğlu, Sadrettin Pençe

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Article in Psychiatry and clinical psychopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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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

3 citing papers in PubMed.

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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

6 authors.

Efruz Pirdoğan AydınDepartment of Psychiatry, University of Health Sciences, Şişli Hamidiye Etfal Training and Research Hospital, İstanbul, Turkey.ORCID 0000-0001-6056-0075
Hani AlsaadoniDepartment of Medical Biology, University of Health Sciences of Medicine, İstanbul, Turkey.ORCID 0000-0001-9943-3364
Azra Gökovalı BeğenenDepartment of Psychiatry, University of Health Sciences, Şişli Hamidiye Etfal Training and Research Hospital, İstanbul, Turkey.ORCID 0000-0003-4103-2802
Ömer Akil ÖzerDepartment of Psychiatry, University of Health Sciences, Şişli Hamidiye Etfal Training and Research Hospital, İstanbul, Turkey.ORCID 0000-0001-5565-4640
Kayıhan Oğuz KaramustafalıoğluDepartment of Psychiatry, University of Health Sciences, Şişli Hamidiye Etfal Training and Research Hospital, İstanbul, Turkey.ORCID 0000-0001-6151-7060
Sadrettin PençeDepartment of Physiology, İstanbul Medeniyet University Faculty of Medicine, İstanbul, Turkey.ORCID 0000-0001-9453-4166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obsessive-compulsive disorder is a psychiatric disorder with different clinical manifestations caused by the interaction of genetic and environmental factors. Recently, it has been shown that microRNAs play a role in the pathogenesis of some psychiatric diseases. We aimed to compare the expression levels of microRNAs between obsessive-compulsive disorder patients and healthy controls and investigate the association between miRNA expression levels and treatment resistance. Methods: Twelve miRNA expression levels in venous blood of 100 obsessive-compulsive disorder patients and 50 healthy controls were detected by real-time polymerase chain reaction. Patients were assessed using the Hamilton Depression Rating Scale, Yale-Brown Obsessive-Compulsive Scale, and Yale-Brown Obsessive-Compulsive Symptom Checklist. Each patient was scheduled for a monthly follow-up for a minimum 6-month-period after serotonin receptor inhibitor treatments were initiated. Results: We found that miR-26a-5p ( Conclusion: In obsessive-compulsive disorder, there may be a potential value in the relationship between various miRNA expression levels and treatment resistance and disease severity, and future studies may be beneficial.

Indexed as

EpigeneticsmiRNAobsessive-compulsive disorderseveritytreatment resistance

Identifiers

PMID38764867
PMCPMC11099648

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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.