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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
KEGG: Kyoto Encyclopedia of Genes and Genomes
Kanehisa, M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.27 · Cited by 37,077
KEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232
Skog, J., Würdinger, T., van Rijn, S., Meijer, D. H., Gainche, L., Curry, W. T., Carter, B. S., Krichevsky, A. M., & Breakefield, X. O. (2008) · Nature Cell Biology · doi:10.1038/ncb1800 · Cited by 5,001
Systematic determination of genetic network architecture
Tavazoie, S., Hughes, J. D., Campbell, M. J., Cho, R. J., & Church, G. M. (1999) · Nature Genetics · doi:10.1038/10343 · Cited by 2,509
Gene silencing by microRNAs: contributions of translational repression and mRNA decay
Huntzinger, E., & Izaurralde, E. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2936 · Cited by 2,339
Stress, Depression, and Neuroplasticity: A Convergence of Mechanisms
Pittenger, C., & Duman, R. S. (2008) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301574 · Cited by 1,795
The stressed synapse: the impact of stress and glucocorticoids on glutamate transmission
Popoli, M., Yan, Z., McEwen, B. S., & Sanacora, G. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3138 · Cited by 1,393
Towards a glutamate hypothesis of depression
Sanacora, G., Treccani, G., & Popoli, M. (2012) · Neuropharmacology · doi:10.1016/j.neuropharm.2011.07.036 · Cited by 1,036
Characterization of microRNA expression profiles in normal human tissues.
Liang, Y., Ridzon, D., Wong, L., & Chen, C. (2007) · BMC Genomics · doi:10.1186/1471-2164-8-166 · Cited by 881
Cited by
Sorted by citations
A blood based 12-miRNA signature of Alzheimer disease patients
Leidinger, P., Backes, C., Deutscher, S., Schmitt, K., Mueller, S. C., Frese, K., Haas, J., Ruprecht, K., Paul, F., Stähler, C., et al. (2013) · Genome biology · doi:10.1186/gb-2013-14-7-r78 · Cited by 509
Issler, O., Haramati, S., Paul, E. D., Maeno, H., Navon, I., Zwang, R., Gil, S., Mayberg, H. S., Dunlop, B. W., Menke, A., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.042 · Cited by 318
Lopez, J. P., Lim, R., Cruceanu, C., Crapper, L., Fasano, C., Labonte, B., Maussion, G., Yang, J. P., Yerko, V., Vigneault, E., et al. (2014) · Nature Medicine · doi:10.1038/nm.3582 · Cited by 308
Yuan, M., Yang, B., Rothschild, G., Mann, J. J., Sanford, L. D., Tang, X., Huang, C., Wang, C., & Zhang, W. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01519-z · Cited by 246
“Application of escitalopram in depression of patients altered the levels of 30 miRNAs, 329 have triggered studies fi nding that miRNAs may be downstream regulators mediating the antidepressant effects of SSRIs.”
BackgroundPeripheral Markers of Depression
Nobis, A., Zalewski, D., & Waszkiewicz, N. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9123793 · Cited by 197
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
