ReviewNeuropsychiatric disease and treatment2019
MicroRNA-Based Biomarkers in the Diagnosis and Monitoring of Therapeutic Response in Patients with Depression.
Review in Neuropsychiatric disease and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- Differentially expressed microRNAs in human depression: a systematic review of case-control and longitudinal studies.BMC psychiatry · 2025Pooled it
- Alterations in serum melatonin, IL-6 and BDNF levels and their clinical correlations in first-episode major depressive disorder.Annals of general psychiatry · 2026Article
- Exploring potential value of neutrophil extracellular traps in major depressive disorder.Frontiers in immunology · 2026Article
- Potential value of oral Mogibacterium in major depressive disorder.Frontiers in cellular and infection microbiology · 2026Article
- GABAergic MicroRNA-34a in the Dorsal Raphe Nuclei Contributes to Circulating MicroRNA-34a Levels.Molecular neurobiology · 2025Article
- MicroRNA signatures in neuroplasticity, neuroinflammation and neurotransmission in association with depression.Journal of physiology and biochemistry · 2025Review
- Deciphering the role of miRNA-134 in the pathophysiology of depression: A comprehensive review.Heliyon · 2024Review
- The role of ncRNAs in depression.Heliyon · 2024Review
- Clinical Insights into MicroRNAs in Depression: Bridging Molecular Discoveries and Therapeutic Potential.International journal of molecular sciences · 2024Review
- Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential.Signal transduction and targeted therapy · 2023Review
- Therapeutic Implications of microRNAs in Depressive Disorders: A Review.International journal of molecular sciences · 2022Review
- Serum extracellular vesicle microRNA dysregulation and childhood trauma in adolescents with major depressive disorder.Bosnian journal of basic medical sciences · 2022Article
- Metabolomics Based on Peripheral Blood Mononuclear Cells to Dissect the Mechanisms of Chaigui Granules for Treating Depression.ACS omega · 2022Article
- Identifying Antidepressant Effects of Brain-Derived Neurotrophic Factor and IDO1 in the Mouse Model Based on RNA-Seq Data.Frontiers in genetics · 2022Article
- The Prognostic Role of Micro-RNAs in Head and Neck Cancers: An Umbrella Review.Journal of personalized medicine · 2021Review
- MicroRNAs, Multiple Sclerosis, and Depression.International journal of molecular sciences · 2021Review
- The Importance of Epigenetics in Diagnostics and Treatment of Major Depressive Disorder.Journal of personalized medicine · 2021Review
- Circulating microRNAs and Molecular Oxidative Stress in Older Adults with Neuroprogression Disorders.Disease markers · 2021Article
- Berberine Suppresses Mice Depression Behaviors and Promotes Hippocampal Neurons Growth Through Regulating the miR-34b-5p/miR-470-5p/BDNF Axis.Neuropsychiatric disease and treatment · 2021Article
- MicroRNAs as Biomarkers for Animal Health and Welfare in Livestock.Frontiers in veterinary science · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Depression is a debilitating mental illness that affects up to 120 million people worldwide; it is currently determined based on subjective diagnostic schemes that are limited by high uncertainty. Hence, there is an urgent need to identify effective and reliable biomarkers to increase diagnostic accuracy. MicroRNAs (miRNAs) constitute a recently discovered class of non-coding RNAs that play a key role in the regulation of gene expression by modulating translation, messenger RNA (mRNA) degradation, or stability of mRNA targets. Dysregulated expression of miRNAs is being investigated as a clinical biomarker for a variety of diseases, including depression. Accumulating evidence has shown that miRNAs participate in many aspects of neural plasticity, neurogenesis, and the stress response. This is supported by more direct studies based on human postmortem brain tissue that strongly indicate that miRNAs not only play a key role in the pathogenesis of major depressive disorder, but also present potential for the development of therapeutic targets. miRNAs in the peripheral and central nervous system are being considered as potential biomarkers in the diagnosis of depression and in monitoring the therapeutic response to antidepressants, owing to their stability, tissue-specificity, and disease-specific expression. In this review, we focus on various miRNAs in tissues and fluids that could be employed as diagnostic and therapeutic biomarkers in patients with depression.
Indexed as
Identifiers
What OpenQuestion holds
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.