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DNA methylation differences in genes associated with human personal disorders and deviant behavior

  • Epigenetic regulation of gene expression is involved in the progression of mental disorders, including deviant behavior, brain developmental, and personality disorders. The large number of genes has been studied for their activity association with stress and depression; however, the obtained results for the majority of these genes are contradictory. The aim of our study was to investigate the possible contribution of methylation level changes to the development of personality disorders and deviant behavior. A systematic study of CpG Islands in 21 target regions, including the promoter and intron regions of the 12 genes was performed in DNA samples extracted from peripheral blood cells, to obtain an overview of their methylation status. High-throughput sequencing of converted DNA samples was performed and calling of the methylation sites on the “original top strand” in CpG islands was carried out in the Bismark pipeline. The initial methylation profile of 77 patients and 48 controls samples revealed a significant difference in 7 CpG sites in 6 genes. The most significant hypermethylation was found for the target sites of the HTR2A (p-value = 1.2 × 10−13) and OXTR (p-value = 2.3 × 10−7) genes. These data support the previous reports that alterations in DNA methylation may play an important role in the dysregulation of gene expression associated with personality disorders and deviant behavior, and confirm their potential use as biomarkers to improve thediagnosis, prognosis, and assessment of response to treatment.

    Citation: I. B. Mosse, N. G. Sedlyar, K. A. Mosse, A. V. Kilchevsky. DNA methylation differences in genes associated with human personal disorders and deviant behavior[J]. AIMS Neuroscience, 2024, 11(1): 39-48. doi: 10.3934/Neuroscience.2024003

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  • Epigenetic regulation of gene expression is involved in the progression of mental disorders, including deviant behavior, brain developmental, and personality disorders. The large number of genes has been studied for their activity association with stress and depression; however, the obtained results for the majority of these genes are contradictory. The aim of our study was to investigate the possible contribution of methylation level changes to the development of personality disorders and deviant behavior. A systematic study of CpG Islands in 21 target regions, including the promoter and intron regions of the 12 genes was performed in DNA samples extracted from peripheral blood cells, to obtain an overview of their methylation status. High-throughput sequencing of converted DNA samples was performed and calling of the methylation sites on the “original top strand” in CpG islands was carried out in the Bismark pipeline. The initial methylation profile of 77 patients and 48 controls samples revealed a significant difference in 7 CpG sites in 6 genes. The most significant hypermethylation was found for the target sites of the HTR2A (p-value = 1.2 × 10−13) and OXTR (p-value = 2.3 × 10−7) genes. These data support the previous reports that alterations in DNA methylation may play an important role in the dysregulation of gene expression associated with personality disorders and deviant behavior, and confirm their potential use as biomarkers to improve thediagnosis, prognosis, and assessment of response to treatment.



    Psychiatric disorders, including stress and depression, arise due the combined action of many factors including neurobiology, genetics, living conditions, and childhood experiences. Recent researches confirmed that epigenetic mechanisms play an important role in the development of psychiatric conditions [1][3].

    Epigenetic regulation of gene expression by DNA methylation, the modification of histones, and small RNAs are the most likely mechanism of action of environmental factors, such as stress, having a lifelong impact on neuropsychiatric state. In fact, stress with the involvement of epigenetic mechanisms is being considered as one of the basic factors that induce psychiatric disorders [4][6]. Nowadays, psychiatric and behavioral epigenetics is a separate and promising area of research.

    DNA methylation is a well-studied epigenetic modification which represents the addition of a CH3 group to a cytosine. It is a highly stable epigenetic mark that usually takes place at CpG sites and can be preserved throughout the human lifetime. Such epigenetic regulation generally exerts a negative effect on level of transcription; however, in some cases, DNA methylation may enhance gene expression. The most prevalent mechanism of gene expression inhibition is through the locking of DNA sequences to prevent the identification and binding of activating transcription factors.

    A great number of genes have been investigated for their association with stress and depression; however, the research data for most of these genes were contradictory. Recently published reviews [7][11] have reported the associations between depression and DNA methylation changes in several genes, including BDNF, SLC6A4, NR3C1, FKBP5, OXTR, and MAOA.

    Previous studies noted that genes associated with depression mainly related to the hypothalamic-pituitary-adrenal (HPA) axis [5] and the 5-hydroxytryptamine system (5-HT) [6]. Depressive patients have significantly increased levels of corticotropin releasing hormone due to the decreased function of the glucocorticoid receptor (GR) encoded by NR3C1. In addition, gene expression of FKBP5 could be activated by GR signaling.

    The main 5-hydroxytryptamine system genes with possible methylation alterations include the brain derived neurotrophic factor gene (BDNF), the serotonin transporter gene (SLC6A4), hydroxytryptamine receptors (HTR), and monoamine oxidase A (MAOA) [6]. Although previous studies have stated that DNA methylation of 5-HT and the HPA axis are associated with either depressive symptoms or depressive disorders, consistent evidence for the association is limited.

    In this study, we investigated if DNA methylation of genes involved in the progression of psychiatric disorders is altered in individuals with personality disorders and deviant behavior. A systematic study of CpG islands (CGIs) in the promoter and intron regions of the genes was performed to get an overview of their methylation status.

    The study was carried out on 2 groups of representatives of the Belarussian population. The patients group from the Republican Scientific and Practical Center for Mental Health suffering from personality disorders and deviant behavior consisted of 67 (87%) men and 10 (13%) women, with a mean age of 41 years (range 22–69) at first blood sampling. The control group of relatively healthy volunteers contained 48 people matched for gender and age.

    Informed consent for inclusion in the study was obtained from each participant in accordance with the Declaration of Helsinki (as amended in 2013). The consent form and the study program were approved by the Bioethics Committee of the Institute of Genetics and Cytology at the National Academy of Sciences of Belarus.

    Patients included in our study were treated at the Republican Scientific and Practical Center for Mental Health with the following diagnosis according to the International Classification of Diseases (ICD) 10: persons with affective and neurotic disorders (F31–F48). The main impairment of these disorders is a change in emotions and mood towards either depression (with or without anxiety) or elation. Changes in mood are usually accompanied by changes in the overall activity level. Most other symptoms are either secondary or easily explained by changes in mood and activity. Such disorders most often tend to recur, and the onset of an individual episode can often be associated with stressful events and situations.

    Genomic DNA was extracted from the whole blood using a sorbent-based extraction kit; DNA samples were subjected to the bisulfite conversion of each unmethylated cytosine to uracil via deamination. Bisulfite conversion of 1 µg of DNA was performed using the EpiTect Fast DNA Bisulfite Kit (Qiagen). After conversion, 300–500 base pairs fragments of genomic DNA were obtained, with some quantities of more than 500 base pairs. The quantity and quality of the converted DNA samples were determined with the Agilent 4200 TapeStation (Agilent).

    Primer pairs were specifically designed for the CGIs in the promoter and intron regions of the gene under study. A total of 21 target regions of the 12 studied genes were amplified from converted DNA samples.

    The quality and concentration of the PCR products were determined on a GloMax Explorer (Promega) fluorometer with a QuantiFluor® ONE dsDNA System (Promega) reagent kit.

    Next, all amplicons of each subject were normalized and combined into an equimolar pool using an Eppendorf epMotion liquid handling system. The NGS libraries were prepared using the QIAseq Methyl Library Kit (Qiagen). The size selection of fragments was performed using AMPure XP beads (Beckman Coulter) and the concentration of the subject libraries was measured with the Agilent 4200 TapeStation (Agilent).

    The library for loading was prepared according to the Illumina MiniSeq System Denature and Dilute Libraries Guide recommendations. The final concentration was empirically chosen as 8 pmol with a 10% PhiX control library.

    High-throughput sequencing was performed on an Illumina MiSeq instrument with the v3 2x250 (500 cycles) Illumina - MiSeq Reagent Kit v3.

    The quality of the reads was checked using the Fast QC program. Then, the low-quality bases were removed by trimming in Trimmomatic. Local mapping of sequencing fragments to the reference genome (GRCh37 [GCF_000001405.13]) was performed with the Burrows-Wheeler Aligner algorithm using the Bowtie2 software module in the Bismark utility.

    Filtering followed by the transformation of the read alignment map (SAM), as well as sorting and indexing, was carried out in Samtools. Calling of the methylated sites on the “original top strand” in CpG islands was carried out in the Bismark pipeline. The ratio of demethylated to methylated sites was calculated using the Python programming language using the Pandas library.

    The methylation levels of the individual CpG sites in the studied groups were compared using the Mann-Whitney criteria. Differences were accepted as statistically significant at p < 0.05.

    Table 1.  The amplicon locations and sizes of 21 target regions in the studied genes.
    Gene and amplicon N Position (Reference Genome Build hg19, Strand Target Amplicon Length (bp)
    1 TRKB Chr9:84668523–84668590 68 bp
    2 CRH Chr8:66178523–66178594 72 bp
    3 OXTR-1 Chr3:8769061–8769160 100 bp
    4 OXTR-2 Chr3:8767614–8767659 46 bp
    5 FKBP5-1 Chr6:35590602–35590701 100 bp
    6 FKBP5-2 Chr6:35590648–35590757 110 bp
    7 FKBP5-3 Chr6:35663934–35664005 72 bp
    8 NR3C1 Chr5:143404032–143404124 93 bp
    9 BDNF-1 Chr11:27700216–27700305 90 bp
    10 BDNF-2 Chr11:27742305–27742408 104 bp
    11 BDNF-3 Chr11:27720777–27720842 66 bp
    12 MAOA ChrX:43655941–43656026 86 bp
    13 SLC6A4 Chr17:30236081–30236216 136 bp
    14 SKA2 Chr17:59110331–59110398 68 bp
    15 CACNA1C-1 Chr22:2230286–2230405 120 bp
    16 CACNA1C-2 Chr12:2218746–2218860 115 bp
    17 COMT-1 Chr12:19963698–19963788 91 bp
    18 COMT-2 Chr12:19962318–19962410 93 bp
    19 HTR2A-1 Chr13:46897303–46897383 81 bp
    20 HTR2A-2 Chr13:46897282–46897375 94 bp
    21 HTR2A-3 Chr13:46897493–46897642 150 bp

     | Show Table
    DownLoad: CSV

    The initial methylation profile of the 21 analyzed target regions in DNA samples from the patients and control group revealed a significant difference in DNA methylation in 7 CpG sites in 6 genes. The results are presented in Table 2.

    Table 2.  The degree of methylation of CpG sites with statistically in the groups of patients and controls. DNA methylation values are presented as average DNA methylation percentage per studied group.
    CpG site DNAm % patients DNAm % control Mann–Whitney Test, p-Value
    CACNA1C_15__2339515 56.192 60.517 0.0190
    COMT_01__19949901 75.430 73.016 0.0480
    FKBP5_38__35558438 71.544 67.465 0.0042
    FKBP5_88__35558488 96.949 96.186 0.0018
    HTR2A_06__47471705 76.097 65.129 1.2×10−13
    NR3C1_47__142783637 0.062 0.389 0.0240
    OXTR_07__8810807 39.729 30.775 2.3×10−7

     | Show Table
    DownLoad: CSV

    As can be seen from the table, the most significant hypermethylation was found for the target sites of the HTR2A (p-value = 1.2 × 10−13) and OXTR (p-value = 2.3 × 10−7) genes (Fig. 1,2)

    Figure 1.  DNA methylation of HTR2A_06_47471705 CpG site in patients and controls.

    The serotonin 2A receptor (5-HT2A) has been implicated in multiple psychiatric disorders. Serotonin acts as a neurotransmitter mainly in the gastrointestinal tract, blood, and different parts of the brain, thus influencing behavior and physiology. Many psychoactive drugs were found to act on serotonergic targets that made serotonin a perspective target in the study of mental disorders. Activation of HTR2A receptors in the gray region suppresses panic reactions, while their activation in the amygdala is more associated with generalized anxiety disorders and post-traumatic stress disorder [12].

    Epigenetic modifications through methylation are now considered to be the primary mechanism of early life environmental influence on the behavioral phenotype development. Since embryogenesis, serotonin plays an important role in neurodevelopment, and the 5-HT2A receptor promotes neuronal proliferation [13]. Thus, through environmental stressors, epigenetic changes in HTR2A expression may influence brain development and behavior. It has been established that methylation of placental HTR2A at CpG sites during the neonatal period is associated with a higher level of infant care [14].

    Additionally, CpG hypermethylation in the promoter region has been found in adult patients with schizophrenia and bipolar disorder [15], thus suggesting that this may be the mechanism underlying the decrease in HTR2A expression in patients with schizophrenia.

    Figure 2.  DNA methylation of OXTR_07__8810807 CpG site in patients and controls.

    DNA methylation of the oxytocin receptor gene (OXTR) is one of the epigenetic biomarkers of the oxytocin system. The oxytocin system is of significant interest in identifying biomarkers of mental disorders due to its involvement in many psychological conditions, the modulation of a wide range of physiological processes, and its potential use as a drug [16].

    The OXTR gene structurally consists of four exons and three introns [17]. In its promoter, the gene contains a specific region with a large number of CpG sites, called MT2. It was discovered that the increased methylation of this region was associated with decreased OXTR expression, thus suggesting a regulatory role in gene transcription. [18]. OXTR is expressed in all regions of the human brain, with the highest levels of expression in the striatum.

    In adults, variability in the methylation of CpG sites within the promoter has been shown to correlate with susceptibility to disorders associated with social deficits, as well as with individual differences in the brain's response to social information [19]. The greatest differences are observed for methylation sites -934, -924, and -901 (_8810807, _8810797, and_ 8810774, respectively) [20],[21].

    Among other genes with observed significant differences in CpG sites methylation NR3C1 was previously found to be associated with a significantly increased risk of depression in DNA methylation studies [22]. Similar to our study, patients with major depressive disorders had significantly lower methylation levels than healthy controls at 2 promoter CpG sites (p-value = 0,003).

    NR3C1 encodes the glucocorticoid receptor (GR). In some previous studies, hypermethylation of NR3C1 was reported to be related to the reduction in GR with the subsequent HPA axis hyperactivation, thus casing the development of mental disorders and depression. It was suggested [22] that the majority of these studies focused on the relationship between NR3C1 methylation and early life adversities, rather than its clinical status. This is also true for later reports [23],[24]. Thus, this may indicate that the higher levels of NR3C1 methylation found in the aforementioned studies reflect the consequences of past childhood adversity, rather than the current psychiatric vulnerability.

    Highly significant differences (p = 0.0042) between the studied groups were found in the methylation level of the FKBP5_38__35558438 CpG site (Fig. 3).

    Figure 3.  DNA methylation of FKBP5_38__35558438 CpG site in patients and controls.

    These results confirm the data of some publications that provide evidence of a connection between the expression of the FKBP5 gene and various behavioral reactions, mental disorders, and depressive and aggressive conditions [25][27]. FKBP5 modulates not only glucocorticoid receptor activity in response to stressors, but also a multitude of other cellular processes in both the brain and peripheral regions. Notably, the FKBP5 gene is regulated via complex interactions among environmental stressors, FKBP5 genetic variants, and epigenetic modifications of glucocorticoid-responsive genomic sites [26].

    We found that hyper- and hypomethylations on promoter region CpG sites of 6 genes were significantly associated with psychiatric disorders.

    Our study supports previous reports that changes in the DNA methylation level may play a significant role in the dysregulation of gene expression associated with personality disorders and deviant behavior, as well as confirm their potential use as biomarkers to improve the diagnosis, prognosis, and assessment of response to treatment.


    Acknowledgments



    These results were obtained during the implementation of the project “DNA Identification” of the research program of the Union State of Russia and Belarus” (2017–2021).

    Conflict of interest



    All authors declare that they have no conflicts of interest in this paper.

    [1] Bagot RC, Labonté B, Peña CJ, et al. (2014) Epigenetic signaling in psychiatric disorders: stress and depression. Dialogues Clin Neurosci 16: 281-295. https://doi.org/10.31887/DCNS.2014.16.3/rbagot
    [2] Provencal N, Binder EB (2015) The neurobiological effects of stress as contributors to psychiatric disorders: focus on epigenetics. Curr Opin Neurobiol 30: 31-37. https://doi.org/10.1016/j.conb.2014.08.007
    [3] Rozanov VA (2012) Epigenetics: Stress and Behavior. Neurophysiology 44: 332-350. https://doi.org/10.1007/s11062-012-9304-y
    [4] Hing B, Gardner C, Potash JB (2014) Effects of negative stressors on DNA methylation in the brain: Implications for mood and anxiety disorders. Am J Med Genet B Neuropsychiatr Genet 165: 541-554. https://doi.org/10.1002/ajmg.b.32265
    [5] Keller J, Gomez R, Williams G, et al. (2017) HPA axis in major depression: cortisol, clinical symptomatology and genetic variation predict cognition. Mol Psychiatry 22: 527-536. https://doi.org/10.1038/mp.2016.120
    [6] Daut RA, Fonken LK (2019) Circadian regulation of depression: A role for serotonin. Front Neuroendocrinol 54: 100746. https://doi.org/10.1016/j.yfrne.2019.04.003
    [7] Li M, D'Arcy C, Li X, et al. (2019) What do DNA methylation studies tell us about depression? A systematic review. Transl Psychiatry 9: 1-14. https://doi.org/10.1038/s41398-019-0412-y
    [8] Goud Alladi C, Etain B, Bellivier F, et al. (2018) DNA Methylation as a Biomarker of Treatment Response Variability in Serious Mental Illnesses: A Systematic Review Focused on Bipolar Disorder, Schizophrenia, and Major Depressive Disorder. Int J Mol Sci 19: 3026. https://doi.org/10.3390/ijms19103026
    [9] Palma-Gudiel H, Córdova-Palomera A, Navarro V, et al. (2020) Twin study designs as a tool to identify new candidate genes for depression: A systematic review of DNA methylation studies. Neurosci Biobehav Rev 112: 345-352. https://doi.org/10.1016/j.neubiorev.2020.02.017
    [10] Bakusic J, Schaufeli W, Claes S, et al. (2017) Stress, burnout and depression: A systematic review on DNA methylation mechanisms. J Psychosom Res 92: 34-44. https://doi.org/10.1016/j.jpsychores.2016.11.005
    [11] Chen D, Meng L, Pei F, et al. (2017) A review of DNA methylation in depression. J Clin Neurosci 43: 39-46. https://doi.org/10.1016/j.jocn.2017.05.022
    [12] Aznar S, Klein AB (2013) Regulating prefrontal cortex activation: an emerging role for the 5-HT2A serotonin receptor in the modulation of emotion-based actions?. Mol Neurobiol 48: 841-853. https://doi.org/10.1007/s12035-013-8472-0
    [13] Ghadirivasfi M, Nohesara S, Ahmadkhaniha H-R, et al. (2011) Hypomethylation of the serotonin receptor type-2A Gene (HTR2A) at T102C polymorphic site in DNA derived from the saliva of patients with schizophrenia and bipolar disorder. Am J Med Genet Part B Neuropsychiatr Genet Off Publ Int Soc Psychiatr Genet 156B: 536-545. https://doi.org/10.1002/ajmg.b.31192
    [14] Azmitia EC (2001) Modern views on an ancient chemical: serotonin effects on cell proliferation, maturation, and apoptosis. Brain Res Bull 56: 413-424. https://doi.org/10.1016/S0361-9230(01)00614-1
    [15] Paquette AG, Lesseur C, Armstrong DA, et al. (2013) Placental HTR2A methylation is associated with infant neurobehavioral outcomes. Epigenetics 8: 796-801. https://doi.org/10.4161/epi.25358
    [16] Romano A, Tempesta B, Micioni Di Bonaventura MV, et al. (2015) From Autism to Eating Disorders and More: The Role of Oxytocin in Neuropsychiatric Disorders. Front Neurosci 9: 497. https://doi.org/10.3389/fnins.2015.00497
    [17] Quintana DS, Rokicki J, van der Meer D, et al. (2019) Oxytocin pathway gene networks in the human brain. Nat Commun 10: 668. https://doi.org/10.1038/s41467-019-08503-8
    [18] Kusui C, Kimura T, Ogita K, et al. (2001) DNA Methylation of the Human Oxytocin Receptor Gene Promoter Regulates Tissue-Specific Gene Suppression. Biochem Biophys Res Commun 289: 681-686. https://doi.org/10.1006/bbrc.2001.6024
    [19] Vaiserman AM (2012) Early-life Epigenetic Programming of Human Disease and Aging. Translational Epigenetics, Epigenetics in Human Disease.Academic Press Pages 545-567. https://doi.org/10.1016/B978-0-12-388415-2.00027-5
    [20] Danoff JS, Wroblewski KL, Graves AJ, et al. (2021) Genetic, epigenetic, and environmental factors controlling oxytocin receptor gene expression. Clin Epigenetics 13: 23. https://doi.org/10.1186/s13148-021-01017-5
    [21] Danoff JS, Connelly JJ, Morris JP, et al. (2021) An epigenetic rheostat of experience: DNA methylation of OXTR as a mechanism of early life allostasis. Compr Psychoneuroendocrinology 8: 100098. https://doi.org/10.1186/s13148-021-01017-5
    [22] Na K-S, Chang HS, Won E, et al. (2014) Association between Glucocorticoid Receptor Methylation and Hippocampal Subfields in Major Depressive Disorder. PLOS ONE 9: e85425. https://doi.org/10.1371/journal.pone.0085425
    [23] Efstathopoulos P, Andersson F, Melas PA, et al. (2018) NR3C1 hypermethylation in depressed and bullied adolescents. Transl Psychiatry 8: 1-8. https://doi.org/10.1038/s41398-018-0169-8
    [24] Knaap LJ, Oort FVA, Verhulst FC, et al. (2015) Methylation of NR3C1 and SLC6A4 and internalizing problems. The TRAILS study. J Affect Disord 180: 97-103. https://doi.org/10.1016/j.jad.2015.03.056
    [25] Weaver IC (2007) Epigenetic programming by maternal behavior and pharmacological intervention. Nature versus nurture: Let's call the whole thing off. Epigenetics 2: 22-28. https://doi.org/10.4161/epi.2.1.3881
    [26] Zannas AS, Wiechmann T, Gassen NC, et al. (2016) Gene-stress-epigenetic regulation of FKBP5: Clinical and translational implications. Neuropsychopharmacology 41: 261-274. https://doi.org/10.1038/npp.2015.235
    [27] Thomassin H, Flavin M, Espinas ML, et al. (2001) Glucocorticoid-induced DNA demethylation and gene memory during development. EMBO J 20: 1974-1983. https://doi.org/10.1093/emboj/20.8.1974
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