ArticleFrontiers in psychiatry2022
Circulating microRNA associated with future relapse status in major depressive disorder.
Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02489305 (A Prospective, Longitudinal, Observational Study to Evaluate Potential Predictors of Relapse in Subjects With Major Depressive Disorder Who Have Responded to Antidepressant Treatment), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
A Prospective, Longitudinal, Observational Study to Evaluate Potential Predictors of Relapse in Subjects With Major Depressive Disorder Who Have Responded to Antidepressant Treatment
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transcriptomic Studies of Antidepressant Action in Rodent Models of Depression: A First Meta-Analysis.International journal of molecular sciences · 2022Pooled it
- Longitudinal Analysis of Peripheral MicroRNA Expression and Depressive Symptom Severity Change in a Community Cohort.Epigenomes · 2026Article
- miRNA dysregulation in depression: unraveling the interplay between neuroplasticity, HPA axis dysfunction, and neuroinflammation.Metabolic brain disease · 2025Review
- A molecular convergence in the triad of parkinson's disease, depressive disorder and gut health is revealed by the inflammation-miRNA axis.Journal of neuroinflammation · 2025Article
- Circulating miRNA Profile in Inflammatory Bowel Disease Patients with Stress, Anxiety, and Depression.International journal of molecular sciences · 2025Article
- MicroRNAs as Regulators of Neuroinflammation in Major Depressive Disorder.Depression and anxiety · 2025Review
- The role of Extracellular Genomic Materials (EGMs) in psychiatric disorders.Translational psychiatry · 2023Review
- Potential of Circulating miRNAs as Molecular Markers in Mood Disorders and Associated Suicidal Behavior.International journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Major depressive disorder (MDD) is an episodic condition with relapsing and remitting disease course. Elucidating biomarkers that can predict future relapse in individuals responding to an antidepressant treatment holds the potential to identify those patients who are prone to illness recurrence. The current study explored relationships between relapse risk in recurrent MDD and circulating microRNAs (miRNAs) that participate in RNA silencing and post-transcriptional regulation of gene expression. Serum samples were acquired from individuals with a history of recurrent MDD who were followed longitudinally in the observational study, OBSERVEMDD0001 (ClinicalTrials.gov Identifier: NCT02489305). Circulating miRNA data were obtained in 63 participants who relapsed ("relapsers") and 154 participants who did not relapse ("non-relapsers") during follow-up. The miRNA was quantified using the ID3EAL™ miRNA Discovery Platform from MiRXES measuring 575 circulating miRNAs using a patented qPCR technology and normalized with a standard curve from spike-in controls in each plate. The association between miRNAs and subsequent relapse was tested using a linear model, adjusting for age, gender, and plate. Four miRNAs were nominally associated with relapse status during the observational follow-up phase with a false discover rate adjusted
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Registered trials
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.