The DOI matches its Crossref record; 51 of the 53 references it cites were found in a registry or an index.
Blood microRNA changes in depressed patients during antidepressant treatment
Abstract
MicroRNAs (miRNAs) are potent modulators of protein expression that play key roles in brain pathways regulating neurogenesis and synaptic plasticity. These small RNAs may be critical for the pathophysiology of mental disorders and may influence the effectiveness of psychotropic drugs. To investigate the possible involvement of miRNAs in the mechanism of action of antidepressants (AD), we conducted a whole-miRNome quantitative analysis with qRT-PCR of the changes in the blood of 10 depressed subjects after 12 weeks of treatment with escitalopram. Thirty miRNAs were differentially expressed after the AD treatment: 28 miRNAs were up-regulated, and 2 miRNAs were strongly down-regulated. miRNA target gene prediction and functional annotation analysis showed that there was a significant enrichment in several pathways associated with neuronal brain function (such as neuroactive ligand-receptor interaction, axon guidance, long-term potentiation and depression), supporting the hypothesis that the differentially regulated miRNAs may be involved in the AD mechanism.
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“These miRNA-based therapies include miR-124, miR-132, miR-135 and miR-146a (123).”
From The clinical use of epigenetics in psychiatry: a narrative review of epigenetic mechanisms, key candidate genes, and precision psychiatry (2025) · cites this paper as [123]
In the citing paper
“Application of escitalopram in depression of patients altered the levels of 30 miRNAs,329”
From Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential (2023) · cites this paper as [329]
In the citing paper
“30 miRNAs were expressed differently in the blood of MDD patients following three months of escitalopram therapy.329”
From Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential (2023) · cites this paper as [329]
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Metadata
- Authors
- Bocchio-Chiavetto, L., Maffioletti, E., Bettinsoli, P., Giovannini, C., Bignotti, S., Tardito, D., Corrada, D., Milanesi, L., & Gennarelli, M.
- Affiliations
- Centro San Giovanni di Dio Fatebenefratelli (IT)
- University of Milan (IT)
- Institute of Biomedical Technologies (IT)
- ORCID
- Venue
- European Neuropsychopharmacology
- Publisher
- Elsevier BV
- Published
- 2013-07
- Volume
- 23
- Issue
- 7
- Pages
- 602-611
- ISSN
- 0924-977X (ISSN-L)
- OpenAlex
- W2075765362
- Cited by
- 238
- References
- 53
- Citations by year
- 2026: 2 · 2025: 10 · 2024: 19 · 2023: 13 · 2022: 19 · 2021: 22 · 2020: 24 · 2019: 23 · 2018: 16 · 2017: 23 · 2016: 26 · 2015: 16 · 2014: 13 · 2013: 10
- FWCI
- 9.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Neuropsychopharmacology (publishedVersion)
- PubMed (publishedVersion)
- BOA (University of Milano-Bicocca) (submittedVersion)
- Institutional Research Information System (Università degli Studi di Brescia) (submittedVersion)
- IRIS eCampus Telematic University (Università degli Studi eCampus) (submittedVersion)
- Funders
- Cariplo Foundation (2009-2701)
- Italian Ministry of Health (Ricerca Corrente) and Lombardy Region (17387 SAL-13)
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Keywords
- microRNA, depression, antidepressant treatment, escitalopram, blood microRNA, miRNome, neuroactive ligand-receptor interaction, axon guidance, long-term potentiation, neuronal function
- MeSH terms
- Adolescent, Adult, Aged, Major Depressive Disorder, Depressive Disorder, Major, Female, Gene Expression Regulation, Humans, Male, Middle Aged, Citalopram, Signal Transduction, Antidepressive Agents, Second-Generation, Databases, Genetic, MicroRNAs
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