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Expression of glucocorticoid inducible genes is associated with reductions in cornu ammonis and dentate gyrus volumes in patients with major depressive disorder

Published online by Cambridge University Press:  25 November 2014

Thomas Frodl*
Affiliation:
Trinity College Dublin University of Regensburg
Angela Carballedo
Affiliation:
Trinity College Dublin
Eva-Maria Frey
Affiliation:
University of Regensburg
Veronica O'Keane
Affiliation:
Trinity College Dublin
Norbert Skokauskas
Affiliation:
Trinity College Dublin Norwegian University of Science and Technology
Derrek Morris
Affiliation:
Trinity College Dublin
Michael Gill
Affiliation:
Trinity College Dublin
Martina Mary Hughes
Affiliation:
Trinity College Dublin
Andrew Harkin
Affiliation:
Trinity College Dublin
Thomas Connor
Affiliation:
Trinity College Dublin
*
Address correspondence and reprint requests to: Thomas Frodl, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland; E-mail: frodlt@tcd.ie.

Abstract

Alterations of the glucocorticoid system and of hippocampal volumes have consistently been reported in patients with major depressive disorders (MDD). The aim of the present study was to investigate whether the messenger RNA (mRNA) expression of glucocorticoid inducible genes is associated with changes in the cornu ammonis (CA) and dentate gyrus subfields. Forty-three patients with MDD and 43 healthy controls were recruited and investigated with high resolution magnetic resonance imaging. Hippocampal subfields were measured using freesurfer. Measurement of whole blood mRNA expression of glucocorticoid inducible genes serum and glucocorticoid-regulated kinase 1 (SGK1), FK506 binding protein 5 (FKBP5), and glucocorticoid induced leucine zipper (GILZ) was performed. Patients with MDD had significantly smaller volumes of CA1, CA2/3, CA4/DG, and subiculum compared to healthy controls. In the regression analysis, the factor diagnosis had a significant moderating effect on the association of SGK1 and hippocampal volumes. Patients with low expression of SGK1 had significantly smaller CA2/3 and CA4/DG volumes compared to patients with high expression of SGK1 mRNA and to healthy controls with low/high expression of SGK1, respectively. Therefore, a lack of mRNA expression of glucocorticoid inducible genes in patients with MDD that seems to correspond to a blunted cortisol response is associated with smaller hippocampal CA and dentate gyrus volumes. SGK1 seems to be particularly relevant for stress-related mental disorders.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2014 

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References

Anacker, C., Cattaneo, A., Musaelyan, K., Zunszain, P. A., Horowitz, M., Molteni, R., et al. (2013). Role for the kinase SGK1 in stress, depression, and glucocorticoid effects on hippocampal neurogenesis. Proceedings of the National Academy of Sciences, 110, 87088713.Google Scholar
Beck, A. T., Steer, R. A., Ball, R., & Ranieri, W. (1996). Comparison of Beck Depression Inventories—IA and —II in psychiatric outpatients. Journal of Personality Assessment, 67, 588597.CrossRefGoogle Scholar
Bernstein, D. P., Fink, L., Handelsman, L., Foote, J., Lovejoy, M., Wenzel, K., et al. (1994). Initial reliability and validity of a new retrospective measure of child abuse and neglect. American Journal of Psychiatry, 151, 11321136.Google Scholar
Bernstein, D. P., Stein, J. A., Newcomb, M. D., Walker, E., Pogge, D., Ahluvalia, T., et al. (2003). Development and validation of a brief screening version of the Childhood Trauma Questionnaire. Child Abuse and Neglect, 27, 169190.Google Scholar
Binder, E. B., Salyakina, D., Lichtner, P., Wochnik, G. M., Ising, M., Putz, B., et al. (2004). Polymorphisms in FKBP5 are associated with increased recurrence of depressive episodes and rapid response to antidepressant treatment. Nature Genetics, 36, 13191325.Google Scholar
Campbell, S., Marriott, M., Nahmias, C., & MacQueen, G. M. (2004). Lower hippocampal volume in patients suffering from depression: A meta-analysis. American Journal of Psychiatry, 161, 598607.Google Scholar
Carballedo, A., Lisiecka, D., Fagan, A., Saleh, K., Ferguson, Y., Connolly, G., et al. (2012). Early life adversity is associated with brain changes in subjects at family risk for depression. World Journal of Biological Psychiatry, 13, 569578.Google Scholar
Chai, V., Vassilakos, A., Lee, Y., Wright, J. A., & Young, A. H. (2005). Optimization of the PAXgene blood RNA extraction system for gene expression analysis of clinical samples. Journal of Clinical Laboratory Analysis, 19, 182188.Google Scholar
Chaney, A., Carballedo, A., Amico, F., Fagan, A., Skokauskas, N., Meaney, J. et al. (2014). Effect of childhood maltreatment on brain structure in adult patients with major depressive disorder and healthy participants. Journal of Psychiatry and Neuroscience, 39, 5059.Google Scholar
Cicchetti, D., & Toth, S. L. (2009). The past achievements and future promises of developmental psychopathology: The coming of age of a discipline. Journal of Child Psychology and Psychiatry, 50, 1625.Google Scholar
Danese, A., & McEwen, B. S. (2012). Adverse childhood experiences, allostasis, allostatic load, and age-related disease. Physiology & Behavior, 106, 2939.Google Scholar
Fani, N., King, T. Z., Reiser, E., Binder, E. B., Jovanovic, T., Bradley, B., et al. (2013). FKBP5 genotype and structural integrity of the posterior cingulum. Neuropsychopharmacology. Advance online publication.Google Scholar
Frodl, T., Carballedo, A., Hughes, M. M., Saleh, K., Fagan, A., Skokauskas, N., et al. (2012). Reduced expression of glucocorticoid-inducible genes GILZ and SGK-1: High IL-6 levels are associated with reduced hippocampal volumes in major depressive disorder. Translational Psychiatry, 2, e88.Google Scholar
Frodl, T., Jager, M., Smajstrlova, I., Born, C., Bottlender, R., Palladino, T., et al. (2008). Effect of hippocampal and amygdala volumes on clinical outcomes in major depression: A 3-year prospective magnetic resonance imaging study. Journal of Psychiatry and Neuroscience, 33, 423430.Google Scholar
Frodl, T., Meisenzahl, E. M., Zetzsche, T., Born, C., Groll, C., Jager, M., et al. (2002). Hippocampal changes in patients with a first episode of major depression. American Journal of Psychiatry, 159, 11121118.Google Scholar
Frodl, T., & O'Keane, V. (2013). How does the brain deal with cumulative stress? A review with focus on developmental stress, HPA axis function and hippocampal structure in humans. Neurobiology of Disese, 52, 2437.Google Scholar
Frodl, T. S., Koutsouleris, N., Bottlender, R., Born, C., Jager, M., Scupin, I., et al. (2008). Depression-related variation in brain morphology over 3 years: Effects of stress? Archives of General Psychiatry, 65, 11561165.Google Scholar
Giedd, J. N., & Rapoport, J. L. (2010). Structural MRI of pediatric brain development: What have we learned and where are we going? Neuron, 67, 728734.Google Scholar
Goetzel, R. Z., Hawkins, K., Ozminkowski, R. J., & Wang, S. (2003). The health and productivity cost burden of the “top 10” physical and mental health conditions affecting six large U.S. employers in 1999. Journal of Occupational and Environmental Medicine, 5, 514.Google Scholar
Gold, S. M., Kern, K. C., O'Connor, M. F., Montag, M. J., Kim, A., Yoo, Y. S., et al. (2010). Smaller cornu ammonis 2–3/dentate gyrus volumes and elevated cortisol in multiple sclerosis patients with depressive symptoms. Biological Psychiatry, 68, 553559.Google Scholar
Hamilton, M. (1969). Standardised assessment and recording of depressive symptoms. Journal for Neurology, Neurosurgery and Psychiatry, 72, 201205.Google Scholar
Hampel, H., Burger, K., Teipel, S. J., Bokde, A. L., Zetterberg, H., & Blennow, K. (2008). Core candidate neurochemical and imaging biomarkers of Alzheimer's disease. Alzheimer's and Dementia, 4, 3848.Google Scholar
Heim, C., Newport, D. J., Mletzko, T., Miller, A. H., & Nemeroff, C. B. (2008). The link between childhood trauma and depression: Insights from HPA axis studies in humans. Psychoneuroendocrinology, 33, 693710.Google Scholar
Huang, Y., Coupland, N. J., Lebel, R. M., Carter, R., Seres, P., Wilman, A. H., et al. (2013). Structural changes in hippocampal subfields in major depressive disorder: A high-field magnetic resonance imaging study. Biological Psychiatry, 74, 6268.Google Scholar
Jack, C. R. Jr., Petersen, R. C., Xu, Y. C., O'Brien, P. C., Smith, G. E., Ivnik, R. J., et al. (1999). Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment. Neurology, 52, 13971403.Google Scholar
Jones, M. W., & McHugh, T. J. (2011). Updating hippocampal representations: CA2 joins the circuit. Trends in Neuroscience, 34, 526535.Google Scholar
Knoops, A. J., Gerritsen, L., van der Graaf, Y., Mali, W. P., & Geerlings, M. I. (2010). Basal hypothalamic–pituitary–adrenal axis activity and hippocampal volumes: The SMART-Medea study. Biological Psychiatry, 67, 11911198.Google Scholar
Krishnan, V., & Nestler, E. J. (2008). The molecular neurobiology of depression. Nature, 455, 894902.Google Scholar
Krishnan, V., & Nestler, E. J. (2010). Linking molecules to mood: New insight into the biology of depression. American Journal of Psychiatry, 167, 13051320.CrossRefGoogle ScholarPubMed
Lupien, S. J., de Leon, M., de Santi, S., Convit, A., Tarshish, C., Nair, N. P., et al. (1998). Cortisol levels during human aging predict hippocampal atrophy and memory deficits. Nature Neuroscience, 1, 6973.Google Scholar
MacQueen, G., & Frodl, T. (2011). The hippocampus in major depression: Evidence for the convergence of the bench and bedside in psychiatric research? Molecular Psychiatry, 16, 252264.Google Scholar
McEwen, B. S., & Magarinos, A. M. (2001). Stress and hippocampal plasticity: Implications for the pathophysiology of affective disorders. Human Psychopharmacology, 16(Suppl. 1), S7S19.Google Scholar
Meisenzahl, E. M., Seifert, D., Bottlender, R., Teipel, S., Zetzsche, T., Jager, M., et al. (2010). Differences in hippocampal volume between major depression and schizophrenia: A comparative neuroimaging study. European Archives of Psychiatry and Clinical Neuroscience, 260, 127137.Google Scholar
Murray, C. J., & Lopez, A. D. (1996). Evidence-based health policy—Lessons from the Global Burden of Disease Study. Science, 274, 740743.Google Scholar
Pace, T. W., & Miller, A. H. (2009). Cytokines and glucocorticoid receptor signaling: Relevance to major depression. Annals of the New York Academy of Sciences, 1179, 86105.Google Scholar
Pagliaccio, D., Luby, J. L., Bogdan, R., Agrawal, A., Gaffrey, M. S., Belden, A. C., et al. (2013). Stress-system genes and life stress predict cortisol levels and amygdala and hippocampal volumes in children. Neuropsychopharmacology. Advance online publication.Google Scholar
Raison, C. L., & Miller, A. H. (2003). When not enough is too much: The role of insufficient glucocorticoid signaling in the pathophysiology of stress-related disorders. American Journal of Psychiatry, 160, 15541565.Google Scholar
Sapolsky, R. M., Krey, L. C., & McEwen, B. S. (1986). The neuroendocrinology of stress and aging: The glucocorticoid cascade hypothesis. Endocrine Reviews, 7, 284301.Google Scholar
Sarabdjitsingh, R. A., Isenia, S., Polman, A., Mijalkovic, J., Lachize, S., Datson, N., et al. (2010). Disrupted corticosterone pulsatile patterns attenuate responsiveness to glucocorticoid signaling in rat brain. Endocrinology, 151, 11771186.Google Scholar
Schmahl, C., Berne, K., Krause, A., Kleindienst, N., Valerius, G., Vermetten, E., et al. (2009). Hippocampus and amygdala volumes in patients with borderline personality disorder with or without posttraumatic stress disorder. Journal of Psychiatry and Neuroscience, 34, 289295.Google Scholar
Spitzer, R. L., Williams, J. B., Gibbon, M., & First, M. B. (1992). The Structured Clinical Interview for DSM-III-R (SCID). I: History, rationale, and description. Archives of General Psychiatry, 49, 624629.CrossRefGoogle ScholarPubMed
Suzuki, H., Belden, A. C., Spitznagel, E., Dietrich, R., & Luby, J. L. (2013). Blunted stress cortisol reactivity and failure to acclimate to familiar stress in depressed and sub-syndromal children. Psychiatry Reserch, 210, 575583.Google Scholar
Trickett, P. K., Noll, J. G., Susman, E. J., Shenk, C. E., & Putnam, F. W. (2010). Attenuation of cortisol across development for victims of sexual abuse. Development and Psychopathology, 22, 165175.Google Scholar
Van Leemput, K., Bakkour, A., Benner, T., Wiggins, G., Wald, L. L., Augustinack, J., et al. (2009). Automated segmentation of hippocampal subfields from ultra-high resolution in vivo MRI. Hippocampus, 19, 549557.Google Scholar
Vermetten, E., Vythilingam, M., Southwick, S. M., Charney, D. S., & Bremner, J. D. (2003). Long-term treatment with paroxetine increases verbal declarative memory and hippocampal volume in posttraumatic stress disorder. Biological Psychiatry, 54, 693702.Google Scholar
Vreeburg, S. A., Hoogendijk, W. J., van Pelt, J., Derijk, R. H., Verhagen, J. C., van Dyck, R., et al. (2009). Major depressive disorder and hypothalamic-pituitary-adrenal axis activity: Results from a large cohort study. Archives of General Psychiatry, 66, 617626.Google Scholar
Vythilingam, M., Vermetten, E., Anderson, G. M., Luckenbaugh, D., Anderson, E. R., Snow, J., et al. (2004). Hippocampal volume, memory, and cortisol status in major depressive disorder: Effects of treatment. Biological Psychiatry, 56, 101112.Google Scholar
Wohleb, E. S., Hanke, M. L., Corona, A. W., Powell, N. D., Stiner, L. M., Bailey, M. T., et al. (2011). Beta-adrenergic receptor antagonism prevents anxiety-like behavior and microglial reactivity induced by repeated social defeat. Journal of Neuroscience, 31, 62776288.CrossRefGoogle ScholarPubMed
Zunszain, P. A., Anacker, C., Cattaneo, A., Carvalho, L. A., & Pariante, C. M. (2011). Glucocorticoids, cytokines and brain abnormalities in depression. Progress in Neuro-Pharmacology and Biological Psychiatry, 35, 722729.Google Scholar