| Literature DB >> 29156546 |
Laura E Lockwood1, Nagy A Youssef2.
Abstract
Epigenetic effects of medications are an evolving field of medicine, and can change the landscape of drug development. The aim of this paper is to systematically review the literature of the relationship between common medications used for treatment of bipolar disorders and epigenetic modifications. MedLine/PubMed searches were performed based on pre-specified inclusion criteria from inception to November 2017. Six animal and human studies met the inclusion criteria. These studies examined the epigenetic changes in the main classes of medications that are used in bipolar disorders, namely mood stabilizers and antipsychotics. Although these initial studies have small to moderate sample size, they generally suggest an evolving and accumulating evidence of epigenetic changes that are associated with several of the medications that are used in bipolar I and II disorders. In this manuscript, we describe the specific epigenetic changes that are associated with the medications studied. Of the studies reviewed, five of the six studies revealed epigenetic changes associated with the use of mood stabilizers or antipsychotic medications. This review contributes to future research directions. Further understanding of the complexities of the epigenome and the untangling of the effects and contributions of disease states versus medications is crucial for the future of drug design and the development of new therapeutics. Epigenetic therapeutics hold great promise for complex disease treatment and personalized interventions, including psychiatric diseases.Entities:
Keywords: antipsychotics; bipolar disorders; drug development; epigenetics; epigenomics; mood disorders; mood stabilizers
Year: 2017 PMID: 29156546 PMCID: PMC5704161 DOI: 10.3390/brainsci7110154
Source DB: PubMed Journal: Brain Sci ISSN: 2076-3425
Figure 1PRISMA flow diagram of studies examining the epigenetic effects of psychopharmacological agents for treating bipolar disorders.
Studies examining the epigenetic effects of psychopharmacological agents for treating bipolar disorders.
| Studies | Number of Subjects | Sample Studied | Medication(s)/Gene(s) Targeted or Brain Region(s) with Epigenetic Changes | Epigenetic Difference Found? | Animal or Human | Comments |
|---|---|---|---|---|---|---|
| Lee et al., 2015 [ | 12 Lithium, 12 Valproic acid, 12 control | Whole blood from rats’ tails | Lithium & Valproic Acid/Lepr | Yes (Lithium | Animal | Lepr gene; |
| Soeiro-de-Souza et al., 2014 [ | 28 subjects, 23 controls | Peripheral blood mononuclear cells | Lithium/Telomerase activity | Yes ( | Human | Telomerase activity and Lithium |
| Dell’Osso et al., 2014 [ | 44 subjects with major depressive disorder, 61 with bipolar I disorder, 50 with bipolar II disorder, and 44 controls; 16 patients on Lithium, 17 patients on Valproic acid | Peripheral blood mononuclear cells | Lithium and valproic acid/BDNF | Not statistically significant for Lithium & valproic acid (no | Human | BDNF methylation significantly higher in bipolar I than MDD |
| Houtepen et al., 2016 [ | 172:112 patients on Lithium, 33 patients on Valproic acid, 29 patients on Quetiapine, 28 patients on Olanzapine, 15 patients on Carbamazepine, and 14 patients on Lamotrigine (some patients on more than one medication) | Peripheral whole blood samples | Lithium, valproic acid, quetiapine, olanzapine, carbamazepine, & lamotrigine/RELN, SLC1A2, MTNR1A, IGF2, H19, BDNF, SLC6A4, GAD1 | Yes for valproic acid & quetiapine only (Quetiapine | Human | Genes: RELN, SLC1A2, MTNR1A, IGF2, H19, BDNF, SLC6A4, GAD1 |
| Melka et al., 2013 [ | 2 olanzapine, 2 control | DNA samples from the cerebellum, hippocampus, & liver of rats | Olanzapine/methylation increases in the hippocampus | Yes ( | Animal | 40 dopaminergic genes, including DRD5, SLC18A2, & DDC8 |
| Melka et al., 2014 [ | 8 olanzapine, 8 control | DNA samples from the cerebellum, hippocampus, & liver of rats | Olanzapine/methylation increases in the hippocampus | Yes, | Animal | Dopamine-DARPP32 feedback in cAMP signaling CDC42 signaling |