| Literature DB >> 34201279 |
Paola Brivio1, Giulia Sbrini1, Letizia Tarantini2, Chiara Parravicini1, Piotr Gruca3, Magdalena Lason3, Ewa Litwa3, Chiara Favero2, Marco Andrea Riva1, Ivano Eberini1, Mariusz Papp3, Valentina Bollati2, Francesca Calabrese1.
Abstract
Epigenetics is one of the mechanisms by which environmental factors can alter brain function and may contribute to central nervous system disorders. Alterations of DNA methylation and miRNA expression can induce long-lasting changes in neurobiological processes. Hence, we investigated the effect of chronic stress, by employing the chronic mild stress (CMS) and the chronic restraint stress protocol, in adult male rats, on the glucocorticoid receptor (GR) function. We focused on DNA methylation specifically in the proximity of the glucocorticoid responsive element (GRE) of the GR responsive genes Gadd45β, Sgk1, and Gilz and on selected miRNA targeting these genes. Moreover, we assessed the role of the antipsychotic lurasidone in modulating these alterations. Chronic stress downregulated Gadd45β and Gilz gene expression and lurasidone normalized the Gadd45β modification. At the epigenetic level, CMS induced hypermethylation of the GRE of Gadd45β gene, an effect prevented by lurasidone treatment. These stress-induced alterations were still present even after a period of rest from stress, indicating the enduring nature of such changes. However, the contribution of miRNA to the alterations in gene expression was moderate in our experimental conditions. Our results demonstrated that chronic stress mainly affects Gadd45β expression and methylation, effects that are prolonged over time, suggesting that stress leads to changes in DNA methylation that last also after the cessation of stress procedure, and that lurasidone is a modifier of such mechanisms.Entities:
Keywords: DNA methylation; GR-responsive genes; epigenetic; lurasidone; miRNA; stress
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Year: 2021 PMID: 34201279 PMCID: PMC8228132 DOI: 10.3390/ijms22126197
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Analysis of Gadd45β (A) Sgk1 (B) and Gilz (C) mRNA levels in the prefrontal cortex of chronically stressed rats: Modulation by chronic lurasidone (LUR) treatment. The data, expressed as a percentage of No stress/VEH animals (set at 100%), are the mean ± SEM. * p < 0.05 vs. No stress/VEH; # p < 0.05 vs. CMS/VEH (Two-way ANOVA with Tukey multiple comparison’s test).
Figure 2Analysis of Gadd45β (A,B) and Sgk1 (D,E) DNA methylation in the prefrontal cortex of chronically stressed rats (CMS): Modulation by chronic lurasidone (LUR) treatment. Panel (C–F): Schematic representation of transcriptionally relevant CpG sites (surrounded in red) in Gadd45β (C) and Sgk1 (F) in the vicinity of GRE (highlighted in yellow). The data, expressed as methylation percentage, are the mean ± SEM of the positions analyzed. * p < 0.05 No stress/VEH; # p < 0.05 vs. CMS/VEH (Two-way ANOVA with Tukey multiple comparison’s test).
Figure 3Analysis of Gadd45β (A) Sgk1 (B) and Gilz (C) mRNA levels in the prefrontal cortex of chronically restraint stressed rats (CRS) after 3 weeks of washout. The data, expressed as a percentage of no-stress animals (set at 100%), are the mean ± SEM. * p < 0.05, ** p < 0.01 vs. No stress (Unpaired t-test).
Figure 4Analysis of Gadd45β (A,B) and Sgk1 (C,D) DNA methylation in the prefrontal cortex of chronically stressed rats (CRS) after 3 weeks of washout. The data, expressed as methylation percentage, are the mean ± SEM of the positions analyzed. * p < 0.05, ** p < 0.01 vs. No stress (Unpaired t-test).
(a,b): Analysis of miRNAs levels in chronically stressed rats treated with lurasidone (a) and after a period of washout from chronic stress exposure (b). The data, expressed as a percentage of no stress/VEH animals (set at 100%), are the mean ± SEM.U6 was used as internal controls. * p < 0.05 vs. No stress/VEH-No stress, ## p < 0.05 vs. CMS/VEH (Two-way ANOVA with Tukey multiple comparison’s test).
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| miR-452-3p (U6) | 100 ± 20 | 74 ± 14 | 91 ± 25 | 86 ± 18 |
| miR-19a-3p (U6) | 100 ± 12 | 178 ± 24 * | 116 ± 15 | 231 ± 32 ## |
| miR-19b-3p (U6) | 100 ± 16 | 85 ± 13 | 114 ± 25 | 115 ± 21 |
| miR-143-3p (U6) | 100 ± 13 | 104 ± 17 | 61 ± 11 | 95 ± 13 |
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| miR-452-3p (U6) | 100 ± 26 | 62 ± 15 | ||
| miR-19a-3p (U6) | 100 ± 21 | 105 ± 25 | ||
| miR-19b-3p (U6) | 100 ± 20 | 80 ± 16 | ||
| miR-143-3p (U6) | 100 ± 13 | 63 ± 10 * | ||