Advertisement

FKBP5 methylation predicts functional network architecture of the rostral anterior cingulate cortex

  • Markus MuehlhanEmail author
  • Robert Miller
  • Jens Strehle
  • Michael N. Smolka
  • Nina Alexander
Original Article

Abstract

DNA methylation (DNAM) changes in the FKBP5 gene have been identified as a potential molecular mechanism explaining how environmental adversity may confer long-term health risks. However, the neurobiological correlates of epigenetic signatures in FKBP5 have only recently been explored in human brain imaging research. The present study aims to investigate associations of FKBP5 DNAM and functional network architecture during an implicit emotion regulation task (N = 74 healthy individuals). For this, we applied a data-driven multi-voxel pattern analysis (MVPA) to identify regions, where connectivity values vary as a function of FKBP5 DNAM, which then served as seed regions for functional network architecture analyses. Blood-derived DNA samples were obtained to analyze quantitative DNAM at three CpGs sites in intron 7 of the FKBP5 gene using bisulfite pyrosequencing. MPVA revealed a cluster within the right rostral ACC and the paracingulate ACCs, where connectivity patterns were strongly related to FKBP5 DNAM. Using this cluster as seed region for connectivity analyses, we further identified a functional network, including prefrontal, subcortical, insular, and thalamic regions, where connectivity patterns positively correlated with FKBP5 DNAM. A subsequent behavioral domain analyses to determine the functional specialization of this network revealed highest effect sizes for subdomains that represent affective and cognitive processes. Together, these findings suggest that FKBP5 demethylation predicts a widespread functional disruption in a brain network centrally implicated in emotion regulation and cognition, which may in turn convey increased disease susceptibility.

Keywords

Epigenetics Methylation Functional connectivity FKBP5 FMRI MVPA ACC 

Notes

Acknowledgements

Funding: This research was supported by the intramural research funding of the TU-Dresden to N.A. and M.M. M.M. R.M. and M.N.S acknowledged support by the German Research Foundation (Deutsche Forschungsgemeinschaft - DFG) grants CRC (SFB) 940/1 and/or CRC (SFB) 940/2.

We would like to thank Matthis Wankerl and Janin Keitel for assisting in participant recruitment. We further thank Prof. Martin Reuter for carrying out the rs1360780 genotyping in his lab.

Compliance with ethical standards

Ethical statement

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The study was approved by the ethics committee of the Technische Universität Dresden [EK: 152052012]. All participants were carefully introduced to the study protocol and filled in a consent form prior to testing.

Conflict of interest

The authors have nothing to disclose.

Supplementary material

429_2019_1980_MOESM1_ESM.pdf (451 kb)
Supplementary material 1 (PDF 451 kb)

References

  1. Behzadi Y, Restom K, Liau J, Liu TT (2007) A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. NeuroImage 37(1):90–101PubMedPubMedCentralGoogle Scholar
  2. Binder EB (2017) Dissecting the molecular mechanisms of gene x environment interactions: implications for diagnosis and treatment of stress-related psychiatric disorders. Eur J Psychotraumatol 8(sup5):1412745PubMedGoogle Scholar
  3. Binder EB, Bradley RG, Liu W, Epstein MP, Deveau TC, Mercer KB et al (2008) Association of FKBP5 polymorphisms and childhood abuse with risk of posttraumatic stress disorder symptoms in adults. JAMA 299(11):1291–1305PubMedPubMedCentralGoogle Scholar
  4. Braun P, Hafner M, Nagahama Y, Hing B, McKane M, Grossbach A et al (2017) Genome-wide DNA methylation comparison between live human brain and peripheral tissues within individuals. Eur Neuropsychopharmacol 27:S506Google Scholar
  5. Britton JC, Phan KL, Taylor SF, Fig LM, Liberzon I (2005) Corticolimbic blood flow in posttraumatic stress disorder during script-driven imagery. Biol Psychiat 57(8):832–840PubMedGoogle Scholar
  6. Bromis K, Calem M, Reinders A, Williams SCR, Kempton MJ (2018) Meta-analysis of 89 structural MRI studies in posttraumatic stress disorder and comparison with major depressive disorder. Am J Psychiatry 175:989–998PubMedPubMedCentralGoogle Scholar
  7. Bryant RA, Felmingham KL, Liddell B, Das P, Malhi GS (2016) Association of FKBP5 polymorphisms and resting-state activity in a frontotemporal-parietal network. Transl Psychiatry 6(10):e925PubMedPubMedCentralGoogle Scholar
  8. Bush G, Luu P, Posner MI (2000) Cognitive and emotional influences in anterior cingulate cortex. Trends Cognit Sci 4(6):215–222Google Scholar
  9. Chrousos GP (2009) Stress and disorders of the stress system. Nat Rev Endocrinol 5(7):374–381PubMedGoogle Scholar
  10. Diorio D, Viau V, Meaney MJ (1993) The role of the medial prefrontal cortex (cingulate gyrus) in the regulation of hypothalamic-pituitary-adrenal responses to stress. J Neurosci 13(9):3839–3847PubMedPubMedCentralGoogle Scholar
  11. Etkin A, Egner T, Kalisch R (2011) Emotional processing in anterior cingulate and medial prefrontal cortex. Trends Cognit Sci 15(2):85–93Google Scholar
  12. Etkin A, Buchel C, Gross JJ (2015) The neural bases of emotion regulation. Nat Rev Neurosci 16(11):693–700PubMedGoogle Scholar
  13. Ewald ER, Wand GS, Seifuddin F, Yang X, Tamashiro KL, Potash JB et al (2014) Alterations in DNA methylation of Fkbp5 as a determinant of blood-brain correlation of glucocorticoid exposure. Psychoneuroendocrinology 44:112–122PubMedPubMedCentralGoogle Scholar
  14. Fani N, Gutman D, Tone EB, Almli L, Mercer KB, Davis J et al (2013) FKBP5 and attention bias for threat: associations with hippocampal function and shape. JAMA Psychiatry 70(4):392–400PubMedPubMedCentralGoogle Scholar
  15. Fani N, King TZ, Reiser E, Binder EB, Jovanovic T, Bradley B et al (2014) FKBP5 genotype and structural integrity of the posterior cingulum. Neuropsychopharmacol 39(5):1206–1213Google Scholar
  16. Fani N, King TZ, Shin J, Srivastava A, Brewster RC, Jovanovic T et al (2016) Structural and functional connectivity in posttraumatic stress disorder: associations with FKBP5. Depress Anxiety 33(4):300–307PubMedPubMedCentralGoogle Scholar
  17. Fox PT, Laird AR, Fox SP, Fox PM, Uecker AM, Crank M et al (2005) BrainMap taxonomy of experimental design: description and evaluation. Hum Brain Mapp 25(1):185–198PubMedGoogle Scholar
  18. Fujii T, Ota M, Hori H, Hattori K, Teraishi T, Sasayama D et al (2014) Association between the common functional FKBP5 variant (rs1360780) and brain structure in a non-clinical population. J Psychiatr Res 58:96–101PubMedGoogle Scholar
  19. Grabe HJ, Wittfeld K, Van der Auwera S, Janowitz D, Hegenscheid K, Habes M et al (2016) Effect of the interaction between childhood abuse and rs1360780 of the FKBP5 gene on gray matter volume in a general population sample. Hum Brain Mapp 37(4):1602–1613PubMedGoogle Scholar
  20. Gyurak A, Gross JJ, Etkin A (2011) Explicit and implicit emotion regulation: a dual-process framework. Cognit Emot 25(3):400–412Google Scholar
  21. Hair JFBW, Babin BJ, Anderson RE, Tatham RL (2006) Multivariate data analysis, 6th edn. Pearson Prentice Hall, Upper Saddle RiverGoogle Scholar
  22. Hall BS, Moda RN, Liston C (2015) Glucocorticoid mechanisms of functional connectivity changes in stress-related neuropsychiatric disorders. Neurobiol Stress 1:174–183PubMedGoogle Scholar
  23. Han KM, Won E, Sim Y, Kang J, Han C, Kim YK et al (2017) Influence of FKBP5 polymorphism and DNA methylation on structural changes of the brain in major depressive disorder. Sci Rep 7:42621PubMedPubMedCentralGoogle Scholar
  24. Harms MB, Birn R, Provencal N, Wiechmann T, Binder EB, Giakas SW et al (2017) Early life stress, FK506 binding protein 5 gene (FKBP5) methylation, and inhibition-related prefrontal function: a prospective longitudinal study. Dev Psychopathol 29(5):1895–1903PubMedPubMedCentralGoogle Scholar
  25. Herman JP, Ostrander MM, Mueller NK, Figueiredo H (2005) Limbic system mechanisms of stress regulation: hypothalamo-pituitary-adrenocortical axis. Prog Neuropsychopharmacol Biol Psychiatry 29(8):1201–1213PubMedGoogle Scholar
  26. Hirakawa H, Akiyoshi J, Muronaga M, Tanaka Y, Ishitobi Y, Inoue A et al (2016) FKBP5 is associated with amygdala volume in the human brain and mood state: a voxel-based morphometry (VBM) study. Int J Psychiatry Clin Pract 20(2):106–115PubMedGoogle Scholar
  27. Holz NE, Buchmann AF, Boecker R, Blomeyer D, Baumeister S, Wolf I et al (2015) Role of FKBP5 in emotion processing: results on amygdala activity, connectivity and volume. Brain Struct Funct 220(3):1355–1368PubMedGoogle Scholar
  28. Klengel T, Mehta D, Anacker C, Rex-Haffner M, Pruessner JC, Pariante CM et al (2013) Allele-specific FKBP5 DNA demethylation mediates gene-childhood trauma interactions. Nat Neurosci 16(1):33–41PubMedGoogle Scholar
  29. Kober H, Barrett LF, Joseph J, Bliss-Moreau E, Lindquist K, Wager TD (2008) Functional grouping and cortical-subcortical interactions in emotion: a meta-analysis of neuroimaging studies. NeuroImage 42(2):998–1031PubMedPubMedCentralGoogle Scholar
  30. Lancaster JL, Laird AR, Eickhoff SB, Martinez MJ, Fox PM, Fox PT (2012) Automated regional behavioral analysis for human brain images. Front Neuroinf 6:23Google Scholar
  31. Lanius RA, Frewen PA, Girotti M, Neufeld RW, Stevens TK, Densmore M (2007) Neural correlates of trauma script-imagery in posttraumatic stress disorder with and without comorbid major depression: a functional MRI investigation. Psychiatry Res 155(1):45–56PubMedGoogle Scholar
  32. Lederbogen F, Kirsch P, Haddad L, Streit F, Tost H, Schuch P et al (2011) City living and urban upbringing affect neural social stress processing in humans. Nature 474(7352):498–501PubMedGoogle Scholar
  33. LeDoux JE, Pine DS (2016) Using neuroscience to help understand fear and anxiety: a two-system framework. Am J Psychiatry 173(11):1083–1093PubMedGoogle Scholar
  34. Lichev V, Sacher J, Ihme K, Rosenberg N, Quirin M, Lepsien J et al (2015) Automatic emotion processing as a function of trait emotional awareness: an fMRI study. Soc Cognit Affect Neurosci 10(5):680–689Google Scholar
  35. Lockwood PL, Wittmann MK (2018) Ventral anterior cingulate cortex and social decision-making. Neurosci Biobehav Rev 92:187–191PubMedGoogle Scholar
  36. Lundqvist D, Flykt A, Öhman A (1998) The Karolinska directed emotional faces—KDEF, CD ROM from Department of Clinical NeuroscienceGoogle Scholar
  37. Lupien SJ, Juster RP, Raymond C, Marin MF (2018) The effects of chronic stress on the human brain: from neurotoxicity, to vulnerability, to opportunity. Front Neuroendocrinol 49:91–105PubMedGoogle Scholar
  38. Margraf J (1994) Entstehung und Handhabung des Mini-DIPS. Springer, BerlinGoogle Scholar
  39. McRae K, Reiman EM, Fort CL, Chen K, Lane RD (2008) Association between trait emotional awareness and dorsal anterior cingulate activity during emotion is arousal-dependent. NeuroImage 41(2):648–655PubMedPubMedCentralGoogle Scholar
  40. Menon V (2011) Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cognit Sci 15(10):483–506Google Scholar
  41. Muehlhan M, Lueken U, Wittchen HU, Kirschbaum C (2011) The scanner as a stressor: evidence from subjective and neuroendocrine stress parameters in the time course of a functional magnetic resonance imaging session. Int J Psychophysiol 79(2):118–126PubMedGoogle Scholar
  42. Muehlhan M, Lueken U, Siegert J, Wittchen HU, Smolka MN, Kirschbaum C (2013) Enhanced sympathetic arousal in response to FMRI scanning correlates with task induced activations and deactivations. PLoS One 8(8):e72576PubMedPubMedCentralGoogle Scholar
  43. Ota M, Hori H, Sato N, Sasayama D, Hattori K, Teraishi T et al (2013) Hypothalamic-pituitary-adrenal axis hyperactivity and brain differences in healthy women. Neuropsychobiology 68(4):205–211PubMedGoogle Scholar
  44. Posner MI, Rothbart MK, Sheese BE, Tang Y (2007) The anterior cingulate gyrus and the mechanism of self-regulation. Cognit Affect Behav Neurosci 7(4):391–395Google Scholar
  45. Rao S, Yao Y, Ryan J, Li T, Wang D, Zheng C et al (2016) Common variants in FKBP5 gene and major depressive disorder (MDD) susceptibility: a comprehensive meta-analysis. Sci Rep 6:32687PubMedPubMedCentralGoogle Scholar
  46. Rein T (2016) FK506 binding protein 51 integrates pathways of adaptation: FKBP51 shapes the reactivity to environmental change. BioEssays 38(9):894–902PubMedGoogle Scholar
  47. Rive MM, van Rooijen G, Veltman DJ, Phillips ML, Schene AH, Ruhe HG (2013) Neural correlates of dysfunctional emotion regulation in major depressive disorder A systematic review of neuroimaging studies. Neurosci Biobehav Rev 37(10 Pt 2):2529–2553PubMedGoogle Scholar
  48. Schmaal L, Hibar DP, Samann PG, Hall GB, Baune BT, Jahanshad N et al (2017) Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group. Mol Psychiatry 22(6):900–909PubMedGoogle Scholar
  49. Shin LM, Wright CI, Cannistraro PA, Wedig MM, McMullin K, Martis B et al (2005) A functional magnetic resonance imaging study of amygdala and medial prefrontal cortex responses to overtly presented fearful faces in posttraumatic stress disorder. Arch Gen Psychiatry 62(3):273–281PubMedGoogle Scholar
  50. Sturm VE, Sollberger M, Seeley WW, Rankin KP, Ascher EA, Rosen HJ et al (2013) Role of right pregenual anterior cingulate cortex in self-conscious emotional reactivity. Soc Cognit Affect Neurosci 8(4):468–474Google Scholar
  51. Thompson WH, Thelin EP, Lilja A, Bellander BM, Fransson P (2016) Functional resting-state fMRI connectivity correlates with serum levels of the S100B protein in the acute phase of traumatic brain injury. NeuroImage Clin 12:1004–1012PubMedPubMedCentralGoogle Scholar
  52. Tozzi L, Carballedo A, Wetterling F, McCarthy H, O’Keane V, Gill M et al (2016) Single-nucleotide polymorphism of the FKBP5 gene and childhood maltreatment as predictors of structural changes in brain areas involved in emotional processing in depression. Neuropsychopharmacology 41(2):487–497PubMedGoogle Scholar
  53. Tozzi L, Farrell C, Booij L, Doolin K, Nemoda Z, Szyf M et al (2017) Epigenetic changes of FKBP5 as a link connecting genetic and environmental risk factors with structural and functional brain changes in major depression. Neuropsychopharmacology 43:1138PubMedPubMedCentralGoogle Scholar
  54. Treadway MT, Grant MM, Ding Z, Hollon SD, Gore JC, Shelton RC (2009) Early adverse events, HPA activity and rostral anterior cingulate volume in MDD. PLoS One 4(3):e4887PubMedPubMedCentralGoogle Scholar
  55. Tylee DS, Kawaguchi DM, Glatt SJ (2013). On the outside, looking in: a review and evaluation of the comparability of blood and brain “-omes”. Am J Med Genet Part B, Neuropsychiatr Genet 162B(7): 595–603Google Scholar
  56. Vaidya CJ, Gordon EM (2013) Phenotypic variability in resting-state functional connectivity: current status. Brain Connect 3(2):99–120PubMedPubMedCentralGoogle Scholar
  57. Wager TD, Jonides J, Smith EE, Nichols TE (2005) Toward a taxonomy of attention shifting: individual differences in fMRI during multiple shift types. Cognit Affect Behav Neurosci 5(2):127–143Google Scholar
  58. Wang Q, Shelton RC, Dwivedi Y (2018) Interaction between early-life stress and FKBP5 gene variants in major depressive disorder and post-traumatic stress disorder: a systematic review and meta-analysis. J Affect Disord 225:422–428PubMedGoogle Scholar
  59. Weber-Goericke, F, Muehlhan, M. (2018): A quantitative meta-analysis of fMRI studies investigating emotional processing in excessive worriers: application of activation likelihood estimation analysis. J Affect Disord (epub ahead of print)Google Scholar
  60. White MG, Bogdan R, Fisher PM, Munoz KE, Williamson DE, Hariri AR (2012) FKBP5 and emotional neglect interact to predict individual differences in amygdala reactivity. Genes Brain Behav 11(7):869–878PubMedGoogle Scholar
  61. Whitfield-Gabrieli S, Nieto-Castanon A (2012) Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connect 2(3):125–141PubMedGoogle Scholar
  62. Whitfield-Gabrieli S, Ghosh SS, Nieto-Castanon A, Saygin Z, Doehrmann O, Chai XJ et al (2016) Brain connectomics predict response to treatment in social anxiety disorder. Mol Psychiatry 21(5):680–685PubMedGoogle Scholar
  63. Williams LM, Kemp AH, Felmingham K, Barton M, Olivieri G, Peduto A et al (2006) Trauma modulates amygdala and medial prefrontal responses to consciously attended fear. NeuroImage 29(2):347–357PubMedGoogle Scholar
  64. Zannas AS, Binder EB (2014) Gene-environment interactions at the FKBP5 locus: sensitive periods, mechanisms and pleiotropism. Genes Brain Behav 13(1):25–37PubMedGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Psychology, Faculty of Human SciencesMedical School HamburgHamburgGermany
  2. 2.Neuroimaging CentreTechnische Universität DresdenDresdenGermany
  3. 3.Department of Psychology, Institute of Clinical Psychology and PsychotherapyTechnische Universität DresdenDresdenGermany
  4. 4.Department of Psychology, Institute of General Psychology, Biopsychology and Methods of PsychologyTechnische Universität DresdenDresdenGermany
  5. 5.Department of Psychiatry and PsychotherapyTechnische Universität DresdenDresdenGermany

Personalised recommendations