Table 5.
Pharmacological modulation of miRNAs in neuropsychiatric disorders.
Drug | Sample | MiRNA | Main findings | Targets | Reference |
---|---|---|---|---|---|
Antipsychotics | |||||
Haloperidol | Rat | Up-regulation: miR-199a, miR-128a, miR-128b |
Three miRNAs were up-regulated in response to haloperidol treatment in rats as compared to untreated controls but None of these miRNAs was differentially expressed in their SCZ patient group |
Not assessed | Perkins et al. (2007) |
Haloperidol Clozapine |
C57BL/6 mice | Down-regulation: miR-219 | Dizocilpine is a NMDA-R antagonist that can rapidly produce schizophrenia-like behavioral Pretreatment with haloperidol and clozapine prevented dizocilpine-induced effects on miR-219. |
It has been proposed that miR-219 negatively regulates the function of NMDA receptors |
Kocerha et al. (2009) |
Risperidone | SCZ patients receiving drug treatment = 40 |
Down-regulation: miR-365 and miR-520c-3p |
Among the seven miRNAs screened, the expression levels of miR-365 and miR-520c-3p were significantly down-regulated after 1 year of risperidone treatment |
Not assessed | Liu et al. (2013) |
Haloperidol Olanzapine |
Mouse | Confirmed with real-time PCR: Haloperidol: Down-regulation: miR-434-5p, miR-22 Olanzapine: miR-193 |
For the haloperidol treatment group, miR-434-5p and miR-22, and for the olanzapine group, miR-193 was down-regulated, But validation of the clozapine treatment group was conflicting (miR-329 and miR-342-5p were significant down-regulation by qPCR and up-regulated on the microarray). |
Metabolic pathways were enriched in olanzapine and clozapine treatments, possibly associated with their weight gain side effects. Neurologically and metabolically relevant miRNA-gene interaction networks were identified in the olanzapine treatment group. |
Santarelli et al. (2013) |
Olanzapine Quetiapine Ziprasidone Risperidone |
Plasma control subjects = 20 SCZ patients receiving drug treatment = 20 |
Down-regulation: miR-181b | Among 20 patients, each drug group has 5 patients. 9 miRNA that were reported to be associated with SCZ were selected and after six weeks of antipsychotic treatment, only the expression level of miR-181b had significantly decreased. |
miR-181b might implicate several target genes associated with synaptic transmission, nervous system development disorders. |
Song et al. (2014) |
Aripiprazole Risperidone |
Plasma SCZ patients receiving drug treatment and remitted = 79, SCZ patients receiving drug treatment but unremitted = 28 |
Down-regulation: miR-130b and miR-193a-3p |
Among 107 SCZ patients who completed the 1-year follow-up, 79 achieved the remission criteria. The baseline levels of plasma miR-130b and miR-193a-3p between patients who remitted and those without remission were compared. |
The validated downstream target genes for miR-13 0b include PDGFRA, RUNX3, ITGB1, PPARG, FMRl, and STAT3, and for miR-193a-3p they include ErbB4, S6K2, and MCL1. Classification of these genes: -SCZ susceptibility genes (PDGFRA, PPARG, ErbB4), -neurodevelopment-related genes (RUNX3, ITGB1, FMR1, STAT3), and -neuroprotective genes (S6 K2 and MCL1). |
Wei et al. (2015) |
Mood stabilizers | |||||
Lithium | Human whole blood BD patients = 5 Control subjects = 21 |
miR-134 | miR-134 down-regulation in patients Increase in miR-134 levels after lithium treatment |
Targeted genes/gene pathways: Limk-1, dendritic spine size regulation |
Rong et al. (2011) |
Lithium/VPA combination |
Rat cerebellar granule cells |
Down-regulation: miR-34a and miR-495 Up-regulation: miR-182, miR-147, and miR-222 |
The pathways associated with mood stabilizer-regulated miRNAs this study, are strongly associated with pathways implicated in neuropsychiatric diseases such as SCZ. |
Hunsberger et al. (2013) | |
Lithium or VPA |
Rat hippocampus | Down-regulation: let-7b, let-7c, miR-128a, miR-24a, miR-30c, miR-34a, and miR-221 Up-regulation: miR-144 |
Alteration in hippocampal miRNA levels following chronic treatment with lithium or valproate (VPA), and the predicted effectors of these miRNAs are also genetic risk candidates for bipolar disorder. |
These miRNAs are involved in neurite outgrowth, neurogenesis, and signaling of PTEN, ERK, and Wnt/β-catenin pathways. The effectors of miRNAs targeted by both lithium and VPA treatments were CAPN6, DPP10, GRM7, ESRRG, FAM126A and THRB. |
Zhou et al. (2009) |
Lithium | Lymphoblastoid cell lines (LCLs) BD patients = 10 Unaffected siblings = 10 |
miR-34a, miR-152, miR-155, and miR-221 |
After derivation of LCLs from patients and their unaffected siblings, miR-221, miR-152, miR-155 and miR-34a up-regulated at treatment time-point days 4 and 16. |
Chen et al. (2009) | |
Lithium/VPA combination |
SH-SY5Y | Down-regulation: miR-30a-5p | Croce et al. (2014) | ||
Lithium | SH-SY5Y | Down-regulation: miR-34a | Neuroprotective and anti-oxidant effects of lithium is found to related miR-34a expression. |
Alural et al. (2015) | |
Antidepressants | |||||
Fluoxetine | Mouse brain | miR-16 | After infusion of fluoxetine in mouse brain, a 2.5-fold increase in the level of miR-16 has been observed. |
miR-16 was identified as a complementarity to the 3′ untranslated region of the SERT mRNA by Using in silico computational target prediction. |
Baudry et al. (2010) |
Fluoxetine | Human CSF MDD = 9 and Mouse hippocampus tissue |
miR-16 | After fluoxetine treatment, miR-16 levels decreased in mouse hippocampus. Also, after fluoxetine treatment, miR-16 targeting molecules BDNF, Wnt2, 15d–PGJ2 levels increased in human CSF samples. |
They proposed miR-16 as regulator between SRI treatment and hippocampal neurogenesis. BDNF, Wnt2 and 15-deoxy-delta12, 14-prostaglandin J2 (15d–PGJ2) act synergistically on the hippocampus by decreasing miR-16 and increasing serotonin transporter (SERT) and bcl-2 levels. |
Launay et al. (2011) |
Escitalopram | Human whole blood MDD = 10 |
Up-regulation: miR-130b*, miR-505*, miR-29-b-2*, miR-26a/b, miR-22*, miR-664, miR-494, let7d/e/f/g, miR-629, miR-106b*, miR-103, miR-191, miR-128, miR-502-3p, miR-374b, miR-132, miR-30d, miR-500, miR-589, miR-183, miR-574-3p, miR-140-3p, miR-335, miR-361-5p Down-regulation: miR-34c-5p, miR-770-5p |
28 miRNAs were up-regulated, and 2 miRNAs were strongly down-regulated after 12-week escitalopram treatment |
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). |
Bocchio-Chiavetto et al. (2013) |
Citalopram | Human whole blood | miR-1202 | A decrease in miR-1202 levels in “depressed patients and increase in miR-1202 levels after 8 weeks of treatment |
miR-1202 regulates the expression of the metabotropic glutamate receptor 4 (GRM4) gene and predicts antidepressant response at baseline. |
Lopez et al. (2014a,b) |
Ketamine | Rat hippocampus tissue | miR-206 | 18 miRNAs were significantly reduced, while 22 miRNAs were significantly increased. But researchers focused on miR-206 expression due to its modulator effect on BDNF expression. |
miR-206 strongly modulated the expression of BDNF. miRNA target gene analysis referred the enrichments in several pathways associated with neuronal brain function, such as the neuroactive ligand-receptor interaction (miR-132-3p, miR-206, miR-181a-5p, miR-150-5p), amphetamine addiction (miR-497-5p, miR-29a-3p, miR-132-3p, miR-181 a-5p, miR-29c-3p), Wnt signaling pathway (miR-29a-3p, miR-98-5p), dopaminergic synapse (miR-132-3p, miR-181a-5p), ErbB signaling pathway (miR-221-3p), mTOR and TNF signaling pathway (miR-206, miR-132-3p) |
Yang et al. (2014) |
Citalopram | Human whole blood MDD = 18 Control = 18 |
miR-335 | Down-regulation of miR-335 levels in MDD patients and up-regulated after citalopram treatment. |
Regulatory loop between GRM4 and miR-335 has been observed. The expression of miR-335 was increased and GRM4 was decreased in the blood samples of MDD patients after citalopram treatment. |
Li et al. (2015) |