Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-25T19:11:25.865Z Has data issue: false hasContentIssue false

Genetic influences on hormonal markers of chronic hypothalamic–pituitary–adrenal function in human hair

Published online by Cambridge University Press:  19 January 2017

E. M. Tucker-Drob*
Affiliation:
Department of Psychology, University of Texas at Austin, Austin, TX,USA Population Research Center, University of Texas at Austin, Austin, TX,USA
A. D. Grotzinger
Affiliation:
Department of Psychology, University of Texas at Austin, Austin, TX,USA
D. A. Briley
Affiliation:
Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA
L. E. Engelhardt
Affiliation:
Department of Psychology, University of Texas at Austin, Austin, TX,USA
F. D. Mann
Affiliation:
Department of Psychology, University of Texas at Austin, Austin, TX,USA
M. Patterson
Affiliation:
Department of Psychology, University of Texas at Austin, Austin, TX,USA
C. Kirschbaum
Affiliation:
Department of Biological Psychology, Technische Universität Dresden, Dresden,Germany
E. K. Adam
Affiliation:
Deparment of Human Development and Social Policy, Northwestern University, Evanston, IL, USA
J. A. Church
Affiliation:
Department of Psychology, University of Texas at Austin, Austin, TX,USA
J. L. Tackett
Affiliation:
Department of Psychology, Northwestern University, Evanston, IL, USA
K. P. Harden
Affiliation:
Department of Psychology, University of Texas at Austin, Austin, TX,USA Population Research Center, University of Texas at Austin, Austin, TX,USA
*
*Address for correspondence: E. M. Tucker-Drob, Ph.D., The University of Texas at Austin, 108 E. Dean Keeton Stop A8000, Austin, TX 78712-0187, USA. (Email: [email protected])

Abstract

Background

Cortisol is the primary output of the hypothalamic–pituitary–adrenal (HPA) axis and is central to the biological stress response, with wide-ranging effects on psychiatric health. Despite well-studied biological pathways of glucocorticoid function, little attention has been paid to the role of genetic variation. Conventional salivary, urinary and serum measures are strongly influenced by diurnal variation and transient reactivity. Recently developed technology can be used to measure cortisol accumulation over several months in hair, thus indexing chronic HPA function.

Method

In a socio-economically diverse sample of 1070 twins/multiples (ages 7.80–19.47 years) from the Texas Twin Project, we estimated effects of sex, age and socio-economic status (SES) on hair concentrations of cortisol and its inactive metabolite, cortisone, along with their interactions with genetic and environmental factors. This is the first genetic study of hair neuroendocrine concentrations and the largest twin study of neuroendocrine concentrations in any tissue type.

Results

Glucocorticoid concentrations increased with age for females, but not males. Genetic factors accounted for approximately half of the variation in cortisol and cortisone. Shared environmental effects dissipated over adolescence. Higher SES was related to shallower increases in cortisol with age. SES was unrelated to cortisone, and did not significantly moderate genetic effects on either cortisol or cortisone.

Conclusions

Genetic factors account for sizable proportions of glucocorticoid variation across the entire age range examined, whereas shared environmental influences are modest, and only apparent at earlier ages. Chronic glucocorticoid output appears to be more consistently related to biological sex, age and genotype than to experiential factors that cluster within nuclear families.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adam, EK, Kumari, M (2009). Assessing salivary cortisol in large-scale, epidemiological research. Psychoneuroendocrinology 34, 14231436.CrossRefGoogle ScholarPubMed
Akaike, H (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control 19, 716723.Google Scholar
Bartels, M, Van den Berg, M, Sluyter, F, Boomsma, DI, de Geus, EJC (2003). Heritability of cortisol levels: review and simultaneous analysis of twin studies. Psychoneuroendocrinology 28, 121137.Google Scholar
Bemmels, HR, Burt, SA, Legrand, LN, Iacono, WG, McGue, M (2008). The heritability of life events: an adolescent twin and adoption study. Twin Research and Human Genetics 11, 257265.Google Scholar
Bolton, JL, Hayward, C, Direk, N, Lewis, JG, Hammond, GL, Hill, LA, Anderson, A, Huffman, J, Wilson, JF, Campbell, H, Rudan, I (2014). Genome wide association identifies common variants at the SERPINA6/SERPINA1 locus influencing plasma cortisol and corticosteroid binding globulin. PLoS Genetics 10, e1004474.Google Scholar
Bosma, H, Golsteyn, B, Groffen, D, Schils, T, Stalder, T, Syurina, E, Borghans, L, Feron, F (2015). The socioeconomic patterning of perceived stress and hair cortisol in Dutch 10–12 year olds. Journal of Public Health and Epidemiology 4, 195197.Google Scholar
Briley, DA, Harden, KP, Bates, TC, Tucker-Drob, EM (2015). Nonparametric estimates of gene × environment interaction using local structural equation modeling. Behavior Genetics 45, 581596.Google Scholar
Chrousos, GP (1995). Stress: Basic Mechanisms and Clinical Implications. Academy of Sciences: New York.Google Scholar
Cole, SW (2010). Elevating the perspective on human stress genomics. Psychoneuroendocrinology 35, 955962.Google Scholar
Desantis, AS, Kuzawa, CW, Adam, EK (2015). Developmental origins of flatter cortisol rhythms: socioeconomic status and adult cortisol activity. American Journal of Human Biology 27, 458467.CrossRefGoogle ScholarPubMed
Dettenborn, L, Muhtz, C, Skoluda, N, Stalder, T, Steudte, S, Hinkelmann, K, Kirschbaum, C, Otte, C (2012). Introducing a novel method to assess cumulative steroid concentrations: increased hair cortisol concentrations over 6 months in medicated patients with depression. Stress 15, 348353.Google Scholar
Dowd, JB, Simanek, AM, Aiello, AE (2009). Socio-economic status, cortisol and allostatic load: a review of the literature. International Journal of Epidemiology 38, 12971309.Google Scholar
Feller, S, Vigl, M, Bergmann, MM, Boeing, H, Kirschbaum, C, Stalder, T (2014). Predictors of hair cortisol concentrations in older adults. Psychoneuroendocrinology 39, 132140.CrossRefGoogle ScholarPubMed
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 Disease 52, 2437.Google Scholar
Gao, W, Kirschbaum, C, Grass, J, Stalder, T (2015). LC–MS based analysis of endogenous steroid hormones in human hair. Journal of Steroid Biochemistry and Molecular Biology 162, 9299.Google Scholar
Hankin, BL, Abramson, LY, Moffitt, TE, Silva, PA, McGee, R, Angell, KE (1998). Development of depression from preadolescence to young adulthood: emerging gender differences in a 10-year longitudinal study. Journal of Abnormal Psychology 107, 128140.Google Scholar
Harden, KP, Tucker-Drob, EM, Tackett, JL (2013). The Texas Twin Project. Twin Research and Human Genetics 16, 385390.Google Scholar
Heath, AC, Nyholt, DR, Neuman, R, Madden, PA, Bucholz, KK, Todd, RD, Nelson, EC, Montgomery, GW, Martin, NG (2003). Zygosity diagnosis in the absence of genotypic data: an approach using latent class analysis. Twin Research 6, 2226.CrossRefGoogle ScholarPubMed
Heim, C, Newport, DJ, Mletzko, T, Miller, AH, Nemeroff, CB (2008). The link between childhood trauma and depression: insights from HPA axis studies in humans. Psychoneuroendocrinology 33, 693710.CrossRefGoogle ScholarPubMed
Ising, M, Holsboer, F (2006). Genetics of stress response and stress-related disorders. Dialogues in Clinical Neuroscience 8, 433444.Google Scholar
Jocklin, V, McGue, M, Lykken, DT (1996). Personality and divorce: a genetic analysis. Journal of Personality and Social Psychology 71, 288299.Google Scholar
Kendler, KS, Chen, X, Dick, D, Maes, H, Gillespie, N, Neale, MC, Riley, B (2012). Recent advances in the genetic epidemiology and molecular genetics of substance use disorders. Nature Neuroscience 15, 181189.CrossRefGoogle ScholarPubMed
Kupper, N, de Geus, EJC, van den Berg, M, Kirschbaum, C, Boomsma, DI, Willemsen, G (2005). Familial influences on basal salivary cortisol in an adult population. Psychoneuroendocrinology 30, 857868.Google Scholar
Lupien, SJ, McEwen, BS, Gunnar, MR, Heim, C (2009). Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nature Reviews Neuroscience 10, 434445.Google Scholar
McCormick, CM, Mathews, IZ (2007). HPA function in adolescence: role of sex hormones in its regulation and the enduring consequences of exposure to stressors. Pharmacology, Biochemistry, and Behavior 86, 220233.Google Scholar
Meaney, MJ (2003). Maternal care, gene expression, and the transmission of individual differences in stress reactivity across generations. Annual Review of Neuroscience 24, 11611192.Google Scholar
Miller, GE, Chen, E, Zhou, ES (2007). If it goes up, must it come down? Chronic stress and the hypothalamic–pituitary–adrenocortical axis in humans. Psychological Bulletin 133, 2545.Google Scholar
Monroe, SM, Simons, AD (1991). Diathesis–stress theories in the context of life stress research: implications for the depressive disorders. Psychological Bulletin 110, 406425.Google Scholar
Muthén, LK, Muthén, BO (1998). Mplus: The Comprehensive Modeling Program for Applied Researchers. Muthén & Muthén: Los Angeles, CA.Google Scholar
Natsuaki, MN, Klimes-Dougan, B, Ge, X, Shirtcliff, EA, Hastings, PD, Zahn-Waxler, C (2009). Early pubertal maturation and internalizing problems in adolescence: sex differences in the role of cortisol reactivity to interpersonal stress. Journal of Clinical Child and Adolescent Psychology 38, 513524.Google Scholar
Purcell, S (2002). Variance components models for gene–environment interaction in twin analysis. Twin Research 5, 554571.Google Scholar
Quinkler, M, Stewart, PM (2013). Hypertension and the cortisol–cortisone shuttle. Journal of Clinical Endocrinology and Metabolism 88, 23842392.Google Scholar
Redei, EE (2009). Molecular genetics of the stress–responsive adrenocortical axis. Annals of Medicine 40, 139148.Google Scholar
Rietveld, MJH, van Der Valk, JC, Bongers, IL, Stroet, TM, Slagboom, PE, Boomsma, DI (2000). Zygosity diagnosis in young twins by parental report. Twin Research 3, 134141.CrossRefGoogle ScholarPubMed
Rippe, RC, Noppe, G, Windhorst, DA, Tiemeier, H, van Rossum, EF, Jaddoe, VW, Verhulst, FC, Bakermans-Kranenburg, MJ, van Ijendoorn, MH, van den Akker, EL (2016). Splitting hair for cortisol? Associations of socio-economic status, ethnicity, hair color, gender and other child characteristics with hair cortisol and cortisone. Psychoneuroendocrinology 66, 5664.Google Scholar
Russell, E, Kirschbaum, C, Laudenslager, ML, Stalder, T, de Rijke, Y, van Rossum, EF, van Uum, S, Koren, G (2015). Toward standardization of hair cortisol measurement: results of the first international interlaboratory round robin. Therapeutic Drug Monitoring 37, 7175.Google Scholar
Sapolsky, RM, Romero, LM, Munck, AU (2000). How do glucocorticoids influence stress responses? Integrating permissive, suppressive, stimulatory, and preparative actions. Endocrine Reviews 21, 5589.Google Scholar
Sariaslan, A, Fazel, S, D'onofrio, BM, Långström, N, Larsson, H, Bergen, SE, Kuja-Halkola, R, Lichtenstein, P (2016). Schizophrenia and subsequent neighborhood deprivation: revisiting the social drift hypothesis using population, twin and molecular genetic data. Translational Psychiatry 6, e796.Google Scholar
Satorra, A (2000). Scaled and adjusted restricted tests in multi-sample analysis of moment structures. In Innovations in Multivariate Statistical Analysis (ed. Heijmans, DDH, Pollock, DSG and Satorra, A), pp. 233247. Springer, US: New York.Google Scholar
Sauvé, B, Koren, G, Walsh, G, Tokmakejian, S, Van Uum, SH (2007). Measurement of cortisol in human hair as a biomarker of systemic exposure. Clinical and Investigative Medicine 30, 183191.Google Scholar
Serwinski, B, Salavecz, G, Kirschbaum, C, Steptoe, A (2016). Associations between hair cortisol concentration, income, income dynamics and status incongruity in healthy middle-aged women. Psychoneuroendocrinology 67, 182188.Google Scholar
Short, SJ, Stalder, T, Marceau, K, Entringer, S, Moog, NK, Shirtcliff, EA, Wadhwa, PD, Buss, C (2016). Correspondence between hair cortisol concentrations and 30-day integrated daily salivary and weekly urinary cortisol measures. Psychoneuroendocrinology 71, 1218.Google Scholar
Stalder, T, Kirschbaum, C (2012). Analysis of cortisol in hair – state of the art and future directions. Brain 26, 10191029.Google Scholar
Stalder, T, Kirschbaum, C, Kudielka, BM, Adam, EK, Pruessner, JC, Wüst, S, Dockrya, S, Smyth, N, Evans, P, Hellhammer, DH, Miller, R (2016). Assessment of the cortisol awakening response: expert consensus guidelines. Psychoneuroendocrinology 63, 414432.Google Scholar
Stalder, T, Steudte, S, Miller, R, Skoluda, N, Dettenborn, L, Kirschbaum, C (2012). Intraindividual stability of hair cortisol concentrations. Psychoneuroendocrinology 37, 602610.Google Scholar
Staufenbiel, SM, Andela, CD, Manenschijn, L, Pereira, AM, van Rossum, EF, Biermasz, NR (2015). Increased hair cortisol concentrations and BMI in patients with pituitary–adrenal disease on hydrocortisone replacement. Journal of Clinical Endocrinology and Metabolism 100, 24562462.Google Scholar
Staufenbiel, SM, Penninx, BWJH, Spijker, AT, Elzinga, BM, van Rossum, EFC (2013). Hair cortisol, stress exposure, and mental health in humans: a systematic review. Psychoneuroendocrinology 38, 12201235.Google Scholar
Stewart, PM, Boulton, A, Kumar, S, Clark, PM, Shackleton, CH (1999). Cortisol metabolism in human obesity: impaired cortisone→ cortisol conversion in subjects with central adiposity. Journal of Clinical Endocrinology and Metabolism 84, 10221027.Google Scholar
Stratakis, CA, Chrousos, GP (1995). Neuroendocrinology and pathophysiology of the stress system. Annals of the New York Academy of Sciences 771, 118.Google Scholar
Stratakis, CA, Sarlis, NJ, Berrettini, WH, Badner, JA, Chrousos, GP, Gershon, ES, Detera-Wadleigh, SD (1997). Lack of linkage between the corticotropin-releasing hormone (CRH) gene and bipolar affective disorder. Molecular Psychiatry 2, 483485.Google Scholar
Vaghri, Z, Guhn, M, Weinberg, J, Grunau, RE, Yu, W, Hertzman, C (2013). Hair cortisol reflects socio-economic factors and hair zinc in preschoolers. Psychoneuroendocrinology 38, 331340.Google Scholar
Van Hulle, CA, Shirtcliff, EA, Lemery-Chalfant, K, Goldsmith, HH (2012). Genetic and environmental influences on individual differences in cortisol level and circadian rhythm in middle childhood. Hormones and Behavior 62, 3642.CrossRefGoogle ScholarPubMed
Velders, FP, Kuningas, M, Kumari, M, Dekker, MJ, Uitterlinden, AG, Kirschbaum, C, Hek, K, Hofman, A, Verhulst, FC, Kivimaki, M, Van Duijn, CM (2011). Genetics of cortisol secretion and depressive symptoms: a candidate gene and genome wide association approach. Psychoneuroendocrinology 36, 10531061.Google Scholar
Viau, V, Meaney, MJ (1991). Variations in the hypothalamic–pituitary–adrenal response to stress during the estrous cycle in the rat. Endocrinology 129, 25032511.Google Scholar
Vliegenthart, J, Noppe, G, van Rossum, EFC, Koper, JW, Raat, H, van den Akker, ELT (2016). Socioeconomic status in children is associated with hair cortisol levels as a biological measure of chronic stress. Psychoneuroendocrinology 65, 914.Google Scholar
Vrshek-Schallhorn, S, Doane, LD, Mineka, S, Zinbarg, RE, Craske, MG, Adam, EK (2012). The cortisol awakening response predicts major depression: predictive stability over a 4-year follow-up and effect of depression history. Psychological Medicine 43, 483493.Google Scholar
Xie, Q, Gao, W, Li, J, Qiao, T, Jin, J, Deng, H, Lu, Z (2011). Correlation of cortisol in 1-cm hair segment with salivary cortisol in human: hair cortisol as an endogenous biomarker. Clinical Chemistry and Laboratory Medicine 49, 20132019.Google Scholar
Supplementary material: File

Tucker-Drob supplementary material

Tucker-Drob supplementary material 1

Download Tucker-Drob supplementary material(File)
File 419.3 KB