Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown.
Journal
Translational psychiatry
ISSN: 2158-3188
Titre abrégé: Transl Psychiatry
Pays: United States
ID NLM: 101562664
Informations de publication
Date de publication:
21 09 2022
21 09 2022
Historique:
received:
01
04
2022
accepted:
08
09
2022
revised:
06
09
2022
entrez:
21
9
2022
pubmed:
22
9
2022
medline:
24
9
2022
Statut:
epublish
Résumé
The COVID-19 pandemic is a global stressor with inter-individually differing influences on mental health trajectories. Polygenic Risk Scores (PRSs) for psychiatric phenotypes are associated with individual mental health predispositions. Elevated hair cortisol concentrations (HCC) and high PRSs are related to negative mental health outcomes. We analyzed whether PRSs and HCC are related to different mental health trajectories during the first COVID lockdown in Germany. Among 523 participants selected from the longitudinal resilience assessment study (LORA), we previously reported three subgroups (acute dysfunction, delayed dysfunction, resilient) based on weekly mental health (GHQ-28) assessment during COVID lockdown. DNA from blood was collected at the baseline of the original LORA study (n = 364) and used to calculate the PRSs of 12 different psychopathological phenotypes. An explorative bifactor model with Schmid-Leiman transformation was calculated to extract a general genetic factor for psychiatric disorders. Hair samples were collected quarterly prior to the pandemic for determining HCC (n = 192). Bivariate logistic regressions were performed to test the associations of HCC and the PRS factors with the reported trajectories. The bifactor model revealed 1 general factor and 4 sub-factors. Results indicate a significant association between increased values on the general risk factor and the allocation to the acute dysfunction class. The same was found for elevated HCC and the exploratorily tested sub-factor "childhood-onset neurodevelopmental disorders". Genetic risk and long-term cortisol secretion as a potential indicator of stress, indicated by PRSs and HCC, respectively, predicted different mental health trajectories. Results indicate a potential for future studies on risk prediction.
Identifiants
pubmed: 36130942
doi: 10.1038/s41398-022-02165-9
pii: 10.1038/s41398-022-02165-9
pmc: PMC9490720
doi:
Substances chimiques
Hydrocortisone
WI4X0X7BPJ
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
396Informations de copyright
© 2022. The Author(s).
Références
Smoller JW. The Genetics of Stress-Related Disorders: PTSD, Depression, and Anxiety Disorders. Neuropsychopharmacol Rev. 2016;41:297–319.
doi: 10.1038/npp.2015.266
Amstadter AB, Myers JM, Kendler KS. Psychiatric resilience: Longitudinal twin study. Br J Psychiatry. 2014;205:275–80.
pubmed: 24723629
pmcid: 4180845
doi: 10.1192/bjp.bp.113.130906
Bolhuis K, Tiemeier H, Jansen PR, Muetzel RL, Neumann A, Hillegers MHJ, et al. Interaction of schizophrenia polygenic risk and cortisol level on pre-adolescent brain structure. Psychoneuroendocrinology. 2019;101:295–303.
pubmed: 30599318
doi: 10.1016/j.psyneuen.2018.12.231
Rietschel L, Streit F, Zhu G, McAloney K, Frank J, Couvy-Duchesne B, et al. Hair Cortisol in Twins: Heritability and Genetic Overlap with Psychological Variables and Stress-System Genes. Sci Rep. 2017;7:19.
doi: 10.1038/s41598-017-11852-3
De Kloet ER, Joëls M, Holsboer F. Stress and the brain: From adaptation to disease. Nat Rev Neurosci 2005;6:463–75.
pubmed: 15891777
doi: 10.1038/nrn1683
Bonanno GA, Mancini AD. Beyond resilience and PTSD: Mapping the heterogeneity of responses to potential trauma. Psychol Trauma Theory, Res Pr Policy. 2012;4:74–83.
doi: 10.1037/a0017829
Ahrens KF, Neumann RJ, Kollmann B, Brokelmann J, von Werthern NM, Malyshau A, et al. Impact of COVID-19 lockdown on mental health in Germany: longitudinal observation of different mental health trajectories and protective factors. Transl Psychiatry. 2021;11:1–10.
doi: 10.1038/s41398-021-01508-2
Ahrens KF, Neumann RJ, Kollmann B, Plichta MM, Lieb K, Tüscher O, et al. Differential impact of COVID-related lockdown on mental health in Germany. World Psychiatry. 2021;20:140–1.
pubmed: 33432755
pmcid: 7801843
doi: 10.1002/wps.20830
Stalder T, Kirschbaum C. Analysis of cortisol in hair - State of the art and future directions. Brain Behav Immun 2012;26:1019–29.
pubmed: 22366690
doi: 10.1016/j.bbi.2012.02.002
Manenschijn L, Van Kruysbergen RGPM, De Jong FH, Koper JW, Van Rossum EFC. Shift work at young age is associated with elevated long-term cortisol levels and body mass index. J Clin Endocrinol Metab. 2011;96:E1862-5.
Dettenborn L, Tietze A, Bruckner F, Kirschbaum C. Higher cortisol content in hair among long-term unemployed individuals compared to controls. Psychoneuroendocrinology. 2010;35:1404–9.
pubmed: 20471757
doi: 10.1016/j.psyneuen.2010.04.006
Van Uum SHM, Sauvé B, Fraser LA, Morley-Forster P, Paul TL, Koren G. Elevated content of cortisol in hair of patients with severe chronic pain: A novel biomarker for stress. Stress. 2008;11:483–8.
pubmed: 18609301
doi: 10.1080/10253890801887388
Yamada J, Stevens B, De Silva N, Gibbins S, Beyene J, Taddio A, et al. Hair Cortisol as a Potential Biologic Marker of Chronic Stress in Hospitalized Neonates. Neonatology 2007;97:42–9.
Karlén J, Ludvigsson J, Frostell A, Theodorsson E, Faresjö T. Cortisol in hair measured in young adults - A biomarker of major life stressors? BMC Clin Pathol. 2011;11:12.
Staufenbiel SM, Penninx BWJH, Spijker AT, Elzinga BM, van Rossum EFC. Hair cortisol, stress exposure, and mental health in humans: A systematic review. Psychoneuroendocrinology 2013;38:1220–35.
pubmed: 23253896
doi: 10.1016/j.psyneuen.2012.11.015
Stalder T, Steudte-Schmiedgen S, Alexander N, Klucken T, Vater A, Wichmann S, et al. Stress-related and basic determinants of hair cortisol in humans: A meta-analysis. Psychoneuroendocrinology 2017;77:261–74.
pubmed: 28135674
doi: 10.1016/j.psyneuen.2016.12.017
Steudte-Schmiedgen S, Stalder T, Schönfeld S, Wittchen HU, Trautmann S, Alexander N, et al. Hair cortisol concentrations and cortisol stress reactivity predict PTSD symptom increase after trauma exposure during military deployment. Psychoneuroendocrinology. 2015;59:123–33.
pubmed: 26072152
doi: 10.1016/j.psyneuen.2015.05.007
Straub J, Klaubert LM, Schmiedgen S, Kirschbaum C, Goldbeck L. Hair cortisol in relation to acute and post-traumatic stress symptoms in children and adolescents. Anxiety, Stress Coping. 2017;30:661–70.
doi: 10.1080/10615806.2017.1355458
Petrowski K, Wichmann S, Pyrc J, Steudte-Schmiedgen S, Kirschbaum C. Hair cortisol predicts avoidance behavior and depressiveness after first-time and single-event trauma exposure in motor vehicle crash victims. https://doi.org/10.1080/1025389020201714585 2020;23:567–76.
Lewis CM, Vassos E. Polygenic risk scores: From research tools to clinical instruments. Genome Med. 2020;12:1–11.
doi: 10.1186/s13073-020-00742-5
Choi SW, Mak TSH, O’Reilly PF. Tutorial: a guide to performing polygenic risk score analyses. Nat Protoc 2020;15:2759–72.
pubmed: 32709988
pmcid: 7612115
doi: 10.1038/s41596-020-0353-1
Schultebraucks K, Choi KW, Galatzer-Levy IR, Bonanno GA. Discriminating Heterogeneous Trajectories of Resilience and Depression After Major Life Stressors Using Polygenic Scores. JAMA Psychiatry. 2021;78:744–52.
pubmed: 33787853
doi: 10.1001/jamapsychiatry.2021.0228
Anttila V, Bulik-Sullivan B, Finucane HK, Walters RK, Bras J, Duncan L et al. Analysis of shared heritability in common disorders of the brain. Science (80-). 2018;360:aap8757.
Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, Perlis RH, et al. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nat Genet. 2013;45:984–94.
pubmed: 23933821
doi: 10.1038/ng.2711
Smoller JW, Kendler K, Craddock N, Lee PH, Neale BM, Nurnberger JN, et al. Identification of risk loci with shared effects on five major psychiatric disorders: A genome-wide analysis. Lancet. 2013;381:1371–9.
doi: 10.1016/S0140-6736(12)62129-1
Lee PH, Anttila V, Won H, Feng YCA, Rosenthal J, Zhu Z, et al. Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders. Cell. 2019;179:1469–.e11.
doi: 10.1016/j.cell.2019.11.020
Lahey BB, Applegate B, Hakes JK, Zald DH, Hariri AR, Rathouz PJ. Is There a General Factor of Prevalent Psychopathology during Adulthood? J Abnorm Psychol. 2012;121:971.
pubmed: 22845652
pmcid: 4134439
doi: 10.1037/a0028355
Caspi A, Houts RM, Belsky DW, Goldman-Mellor SJ, Harrington H, Israel S, et al. The p Factor: One General Psychopathology Factor in the Structure of Psychiatric Disorders? Clin Psychol Sci a J Assoc Psychol Sci. 2014;2:119.
doi: 10.1177/2167702613497473
Grotzinger AD, Mallard TT, Akingbuwa WA, Ip HF, Adams MJ, Lewis CM et al. Genetic Architecture of 11 Major Psychiatric Disorders at Biobehavioral, Functional Genomic, and Molecular Genetic Levels of Analysis. medRxiv 2020;18:2020.09.22.20196089.
Schultebraucks K, Shalev AY, Michopoulos V, Grudzen CR, Shin SM, Stevens JS, et al. A validated predictive algorithm of post-traumatic stress course following emergency department admission after a traumatic stressor. Nat Med. 2020;26:1084–8.
pubmed: 32632194
doi: 10.1038/s41591-020-0951-z
Chmitorz A, Neumann RJ, Kollmann B, Ahrens KF, Öhlschläger S, Goldbach N, et al. Longitudinal determination of resilience in humans to identify mechanisms of resilience to modern-life stressors: the longitudinal resilience assessment (LORA) study. Eur Arch Psychiatry Clin Neurosci. 2021;271:1035–51.
Demontis D, Walters RK, Martin J, Mattheisen M, Als TD, Agerbo E, et al. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder. Nat Genet. 2019;4:63.
Walters RK, Polimanti R, Johnson EC, McClintick JN, Adams MJ, Adkins AE, et al. Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. Nat Neurosci. https://doi.org/10.1038/s41593-018-0275-1 .
Watson HJ Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa. https://doi.org/10.1038/s41588-019-0439-2 .
Purves KL, Coleman JRI, Meier SM, Rayner C, Davis KAS, Cheesman R, et al. A major role for common genetic variation in anxiety disorders. Mol Psychiatry. 2020;25:3292–303.
pubmed: 31748690
doi: 10.1038/s41380-019-0559-1
Grove J, Ripke S, Als TD, Mattheisen M, Walters RK, Won H, et al. Identification of common genetic risk variants for autism spectrum disorder. Nat Genet. 2019;51:431–44.
pubmed: 30804558
pmcid: 6454898
doi: 10.1038/s41588-019-0344-8
Stahl E, Breen G, Forstner A, McQuillin A, Ripke S, Trubetskoy V, et al. Genome-wide association study identifies 30 Loci Associated with Bipolar Disorder. bioRxiv 2017:173062.
Howard DM, Adams MJ, Shirali M, Clarke TK, Marioni RE, Davies G, et al. Addendum: Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways. Nat Commun. 2018;9:3578.
pubmed: 30166530
pmcid: 6117285
doi: 10.1038/s41467-018-05310-5
Arnold PD, Askland KD, Barlassina C, Bellodi L, Bienvenu OJ, Black D, et al. Revealing the complex genetic architecture of obsessive-compulsive disorder using meta-analysis. Mol Psychiatry. 2018;23:1181–8.
doi: 10.1038/mp.2017.154
Polimanti R, Walters RK, Johnson EC, McClintick JN, Adkins AE, Adkins DE, et al. Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium. Mol Psychiatry. 2020;25:1673–87.
pubmed: 32099098
pmcid: 7392789
doi: 10.1038/s41380-020-0677-9
Nievergelt C, Maihofer A, Klengel T, Atkinson E, Chen C-Y, Choi K, et al. Largest genome-wide association study for PTSD identifies genetic risk loci in European and African ancestries and implicates novel biological pathways. Nikolaos P Daskalakis. 2018;48:111.
Ripke S, Walters JT, O’Donovan MC. Mapping genomic loci prioritises genes and implicates synaptic biology in schizophrenia. medRxiv 2020;2020.09.12.20192922.
Nagel M, Jansen PR, Stringer S, Watanabe K, De Leeuw CA, Bryois J, et al. Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways. Nat Genet. 2018;50:920–7.
pubmed: 29942085
doi: 10.1038/s41588-018-0151-7
Klaiberg A, Schumacher J, Brähler E. General Health Questionnaire 28 - Statistical testing of a German version with a representative sample of the general population | Request PDF. Z für Klin Psychol Psychiatr und Psychother. 2004;52:31–42.
Goldberg D Manual of the general health questionnaire. 1978;32.
Galatzer-Levy I, Huang S. Trajectories of resilience and dysfunction following potential trauma: A review and statistical evaluation. Elsevier. 2018;63:41–55.
Wand H, Lambert SA, Tamburro C, Iacocca MA, O’Sullivan JW, Sillari C, et al. Improving reporting standards for polygenic scores in risk prediction studies. Nature 2021;591:211–9.
pubmed: 33692554
pmcid: 8609771
doi: 10.1038/s41586-021-03243-6
Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MAR, Bender D, et al. PLINK: A tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81:559–75.
pubmed: 17701901
pmcid: 1950838
doi: 10.1086/519795
Choi SW, O’Reilly PF. PRSice-2: Polygenic Risk Score software for biobank-scale data. Gigascience. 2019;8:1–6.
doi: 10.1093/gigascience/giz082
Dunn KJ, McCray G. The Place of the Bifactor Model in Confirmatory Factor Analysis Investigations Into Construct Dimensionality in Language Testing. Front Psychol. 2020;11:1357.
pubmed: 32765335
pmcid: 7379375
doi: 10.3389/fpsyg.2020.01357
Chen FF, West SG, Sousa KH. A Comparison of Bifactor and Second-Order Models of Quality of Life. Multivar Behav Res. 2006;41:189–225.
doi: 10.1207/s15327906mbr4102_5
Davenport MD, Tiefenbacher S, Lutz CK, Novak MA, Meyer JS. Analysis of endogenous cortisol concentrations in the hair of rhesus macaques. Gen Comp Endocrinol. 2006;147:255–61.
pubmed: 16483573
doi: 10.1016/j.ygcen.2006.01.005
Koo TK, Li MY. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. J Chiropr Med. 2016;15:155.
pubmed: 27330520
pmcid: 4913118
doi: 10.1016/j.jcm.2016.02.012
Krueger RF, Markon KE. Reinterpreting comorbidity: a model-based approach to understanding and classifying psychopathology. Annu Rev Clin Psychol. 2006;2:111–33.
pubmed: 17716066
pmcid: 2242354
doi: 10.1146/annurev.clinpsy.2.022305.095213
Smeland OB, Andreassen OA. Polygenic risk scores in psychiatry – Large potential but still limited clinical utility. Eur Neuropsychopharmacol. 2021;51:68–70.
pubmed: 34091254
doi: 10.1016/j.euroneuro.2021.05.007
Insel T, Cuthbert B, Garvey M, Heinssen R, Pine DS, Quinn K, et al. Research Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders. https://doi.org/10.1176/appi.ajp201009091379 2010;167:748–51.
Raul JS, Cirimele V, Ludes B, Kintz P. Detection of physiological concentrations of cortisol and cortisone in human hair. Clin Biochem. 2004;37:1105–11.
pubmed: 15589817
doi: 10.1016/j.clinbiochem.2004.02.010
Bartels M, Van den Berg M, Sluyter F, Boomsma DI, De, Geus EJC. Heritability of cortisol levels: Review and simultaneous analysis of twin studies. Psychoneuroendocrinology. 2003;28:121–37.
pubmed: 12510008
doi: 10.1016/S0306-4530(02)00003-3
Fairbanks LA, Jorgensen MJ, Bailey JN, Breidenthal SE, Grzywa R, Laudenslager ML. Heritability and genetic correlation of hair cortisol in vervet monkeys in low and higher stress environments. Psychoneuroendocrinology. 2011;36:1201–8.
pubmed: 21411232
pmcid: 3125414
doi: 10.1016/j.psyneuen.2011.02.013
Engert V, Kok BE, Puhlmann LMC, Stalder T, Kirschbaum C, Apostolakou F, et al. Exploring the multidimensional complex systems structure of the stress response and its relation to health and sleep outcomes. Brain Behav Immun. 2018;73:390–402.
pubmed: 29885438
doi: 10.1016/j.bbi.2018.05.023
Luana JA, Wong MY, Day NE, Wareham NJ. Sample size determination for studies of gene-environment interaction. Int J Epidemiol. 2001;30:1035–40.
doi: 10.1093/ije/30.5.1035
Musliner KL, Seifuddin F, Judy JA, Pirooznia M, Goes FS, Zandi PP. Polygenic risk, stressful life events and depressive symptoms in older adults: A polygenic score analysis. Psychol Med. 2015;45:1709–20.
pubmed: 25488392
doi: 10.1017/S0033291714002839
Tibubos AN, Otten D, Ernst M, Beutel ME. A Systematic Review on Sex- and Gender-Sensitive Research in Public Mental Health During the First Wave of the COVID-19 Crisis. Front Psychiatry. 2021;12:712492.
pubmed: 34603104
pmcid: 8484908
doi: 10.3389/fpsyt.2021.712492