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Persistent depressive symptoms, HPA-axis hyperactivity, and inflammation: the role of cognitive-affective and somatic symptoms
Open accessAbstract
Hypothalamic-pituitary-adrenal (HPA)-axis hyperactivity and inflammation are thought to be prominent in the aetiology of depression. Although meta-analyses have confirmed this relationship, there is considerable variability in the effect sizes across studies. This could be attributed to a differential role of such biological systems in somatic versus cognitive-affective depressive symptoms which remains largely unexplored. Furthermore, most longitudinal research to date has focused on transient rather than persistent depressive symptoms. In the current study, we investigated the associations of hair cortisol and plasma C-reactive protein (CRP) with the longitudinal persistence and dimensions (cognitive-affective versus somatic) of depressive symptoms over a 14-year period using Trait‐State‐Occasion (TSO) structural equation modelling. The data came from a large sample of older adults from the English Longitudinal Study of Ageing. Depressive symptoms were assessed from wave 1 (2002–03) to wave 8 (2016–17). Hair cortisol (N = 4761) and plasma CRP (N = 5784) were measured in wave 6 (2012–13). Covariates included demographic, socioeconomic, lifestyle, chronic disease, and medication data. Our results revealed that higher cortisol and CRP levels were significantly associated with persistent depressive symptoms across the study period. Notably, both biomarkers exhibited stronger relationships with somatic than with cognitive-affective symptoms. The associations with somatic symptoms were also independent of relevant confounding factors. In contrast, their associations with cognitive-affective symptoms were weak after adjustment for all covariates. These distinct associations reveal the importance of considering symptom-specific effects in future studies on pathophysiological mechanisms. Ultimately, this will have the potential to advance the search for biomarkers of depression and facilitate more targeted treatments.
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“increased levels of hair cortisol were predictive of MDD somatic symptoms.”
From Comorbidity between major depressive disorder and physical diseases: a comprehensive review of epidemiology, mechanisms and management (2023) · cites this paper as [200]
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Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267
Molecular Mechanisms of Depression: Perspectives on New Treatment Strategies
Lang, U. E., & Borgwardt, S. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350094 · Cited by 8,526
From inflammation to sickness and depression: when the immune system subjugates the brain
Dantzer, R., O'Connor, J. C., Freund, G. G., Johnson, R. W., & Kelley, K. W. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2297 · Cited by 7,395
Physiology and neurobiology of stress and adaptation: central role of the brain
McEwen, B. S. (2007) · Physiological Reviews · doi:10.1152/physrev.00041.2006 · Cited by 5,429
Screening for Depression in Well Older Adults: Evaluation of a Short Form of the CES-D
Andresen, E. M., Malmgren, J. A., Carter, W. B., & Patrick, D. L. (1994) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(18)30622-6 · Cited by 5,403
A Meta-Analysis of Cytokines in Major Depression
Dowlati, Y., Herrmann, N., Swardfager, W., Liu, H., Sham, L., Reim, E. K., & Lanctôt, K. L. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.09.033 · Cited by 4,729
Andresen, E. M., Malmgren, J. A., Carter, W. B., & Patrick, D. L. (1994) · PubMed · Cited by 4,426
Malhi, G. S., & Mann, J. J. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31948-2 · Cited by 4,099
Inflammation and Its Discontents: The Role of Cytokines in the Pathophysiology of Major Depression
Miller, A. H., Maletic, V., & Raison, C. L. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.11.029 · Cited by 3,848
Hammen, C. (2005) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.1.102803.143938 · Cited by 2,979
Longitudinal Structural Equation Modeling
Little, T. D. (2013) · Cited by 2,604
Causal Relationship Between Stressful Life Events and the Onset of Major Depression
Kendler, K. S., Karkowski, L. M., & Prescott, C. A. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.6.837 · Cited by 2,566
Cohort profile: The English longitudinal study of ageing
Steptoe, A., Breeze, E., Banks, J., & Nazroo, J. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dys168 · Cited by 1,779
Self-citationNicholson, A., Kuper, H., & Hemingway, H. (2006) · European Heart Journal · doi:10.1093/eurheartj/ehl338 · Cited by 1,353
Haapakoski, R., Mathieu, J., Ebmeier, K. P., Alenius, H., & Kivimäki, M. (2015) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2015.06.001 · Cited by 1,129
Stetler, C., & Miller, G. E. (2011) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31820ad12b · Cited by 1,123
Neuroimmune Interactions: From the Brain to the Immune System and Vice Versa
Dantzer, R. (2018) · Physiological Reviews · doi:10.1152/physrev.00039.2016 · Cited by 1,073
Depression sum-scores don’t add up: why analyzing specific depression symptoms is essential
Fried, E. I., & Nesse, R. M. (2015) · BMC Medicine · doi:10.1186/s12916-015-0325-4 · Cited by 981
Köhler, O., Benros, M. E., Nordentoft, M., Farkouh, M. E., Iyengar, R. L., Mors, O., & Krogh, J. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.1611 · Cited by 941
Assessing salivary cortisol in large-scale, epidemiological research
Adam, E. K., & Kumari, M. (2009) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2009.06.011 · Cited by 936
Shafer, A. B. (2006) · Journal of Clinical Psychology · doi:10.1002/jclp.20213 · Cited by 837
Analysis of cortisol in hair – State of the art and future directions
Stalder, T., & Kirschbaum, C. (2012) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2012.02.002 · Cited by 835
Self-citationCapuron, L. (2002) · Neuropsychopharmacology · doi:10.1016/s0893-133x(01)00407-9 · Cited by 797
Harrison, N. A., Brydon, L., Walker, C., Gray, M. A., Steptoe, A., & Critchley, H. D. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.03.015 · Cited by 756
Self-citationCalcia, M., Bonsall, D. R., Bloomfield, P. S., Selvaraj, S., Barichello, T., & Howes, O. D. (2016) · Psychopharmacology · doi:10.1007/s00213-016-4218-9 · Cited by 748
Lamers, F., Vogelzangs, N., Merikangas, K. R., de Jonge, P., Beekman, A. T. F., & Penninx, B. W. J. H. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.144 · Cited by 691
Cuijpers, P., Vogelzangs, N., Twisk, J., Kleiboer, A., Li, J., & Penninx, B. W. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.13030325 · Cited by 677
Kappelmann, N., Lewis, G., Dantzer, R., Jones, P. B., & Khandaker, G. M. (2018) · Molecular Psychiatry · doi:10.1038/mp.2016.167 · Cited by 659 · cited 2×
“In additon, drugs that pharmacologically modify neuroendocrine and inflammatory processes might be particularly effective for individuals with higher levels of somatic symptoms [53, 56].”
Kirschbaum, C., Tietze, A., Skoluda, N., & Dettenborn, L. (2009) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2008.08.024 · Cited by 584
Self-citationStimulation of systemic low-grade inflammation by psychosocial stress.
Rohleder, N. (2014) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000049 · Cited by 497
WorldWide Antimalarial Resistance Network (WWARN) Lumefantrine PK/PD Study Group (2015) · BMC Medicine · doi:10.1186/s12916-015-0456-7 · Cited by 470
Rodda, J. E., Walker, Z., & Carter, J. (2011) · BMJ · doi:10.1136/bmj.d5219 · Cited by 458
Longitudinal Structural Equation Modeling
Newsom, J. T. (2015) · doi:10.4324/9781315871318 · Cited by 446
Using genetic data to strengthen causal inference in observational research
Pingault, J.-B., O’Reilly, P. F., Schoeler, T., Ploubidis, G. B., Rijsdijk, F., & Dudbridge, F. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0020-3 · Cited by 444
Quantitative analysis of steroid hormones in human hair using a column-switching LC–APCI–MS/MS assay
Gao, W., Tobias Stalder, A., Foley, P., Rauh, M., Deng, H., & Kirschbaum, C. (2013) · Journal of Chromatography B · doi:10.1016/j.jchromb.2013.03.008 · Cited by 430
Self-citationBrydon, L., Harrison, N. A., Walker, C., Steptoe, A., & Critchley, H. D. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.12.007 · Cited by 381
Self-citationMalhi Gin, S., & John, M. J. (2018) · The Lancet · Cited by 332
Age-associated chronic diseases require age-old medicine: Role of chronic inflammation
Prasad, S., Sung, B., & Aggarwal, B. B. (2011) · Preventive Medicine · doi:10.1016/j.ypmed.2011.11.011 · Cited by 317
Knorr, U., Vinberg, M., Kessing, L. V., & Wetterslev, J. (2010) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2010.04.001 · Cited by 317
Duivis, H. E., Vogelzangs, N., Kupper, N., de Jonge, P., & Penninx, B. W. J. H. (2013) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2013.01.002 · Cited by 282
Inflammation and Specific Symptoms of Depression
Jokela, M. M., Virtanen, M., Batty, G. D., & Mika Kivimaki, B. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.1977 · Cited by 261
Jha, M. K., Minhajuddin, A., Gadad, B. S., Greer, T., Grannemann, B., Soyombo, A., Mayes, T. L., Rush, A. J., & Trivedi, M. H. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.01.023 · Cited by 206
Does altered glucocorticoid homeostasis increase cardiovascular risk?
GIROD, J., & BROTMAN, D. (2004) · Cardiovascular Research · doi:10.1016/j.cardiores.2004.07.006 · Cited by 193
De La Garza, R. (2005) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2005.03.016 · Cited by 153
Chu, A. L., Štochl, J., Lewis, G., Zammit, S., Jones, P. B., & Khandaker, G. M. (2018) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2018.11.007 · Cited by 136
Hair cortisol and adiposity in a population‐based sample of 2,527 men and women aged 54 to 87 years
Jackson, S. E., Kirschbaum, C., & Steptoe, A. (2017) · Obesity · doi:10.1002/oby.21733 · Cited by 133
Self-citationHackett, R. A., Kivimäki, M., Kumari, M., & Steptoe, A. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-2853 · Cited by 121
Self-citationWhite, J., Kivimäki, M., Jokela, M., & Batty, G. D. (2017) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2016.08.012 · Cited by 99
Lassale, C. M., Batty, G. D., Steptoe, A., Cadar, D., Akbaraly, T. N., Mika Kivimaki, B., & Zaninotto, P. (2018) · The Journals of Gerontology Series A · doi:10.1093/gerona/gly028 · Cited by 95
Self-citationStress-Related Immune Markers in Depression: Implications for Treatment
Hughes, M. M., Connor, T. J., & Harkin, A. (2016) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyw001 · Cited by 91
Dietrich, A., Ormel, J., Buitelaar, J. K., Verhulst, F. C., Hoekstra, P. J., & Hartman, C. A. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2012.11.013 · Cited by 90
Stress and Depression Among the Oldest-Old: A Longitudinal Analysis
Jeon, H.-S., & Dunkle, R. E. (2009) · Research on Aging · doi:10.1177/0164027509343541 · Cited by 87
Biomarker Approaches in Major Depressive Disorder Evaluated in the Context of Current Hypotheses
Jentsch, M., van Buel, E. M., Bosker, F. J., Gladkevich, A. V., Klein, H. C., Voshaar, R. C. O., Ruhé, H. G., Eisel, U. L., & Schoevers, R. A. (2015) · Biomarkers in Medicine · doi:10.2217/bmm.14.114 · Cited by 84
Change in Depressive Symptoms in the Baltimore Longitudinal Study of Aging
Davey, A., Halverson, C. F., Zonderman, A. B., & Costa, P. T. (2004) · The Journals of Gerontology Series B · doi:10.1093/geronb/59.6.p270 · Cited by 73
Bosch, N. M., Riese, H., Dietrich, A., Ormel, J., Verhulst, F. C., & Oldehinkel, A. J. (2009) · Psychosomatic Medicine · doi:10.1097/psy.0b013e3181bc756b · Cited by 73
Soria, V., González-Rodríguez, A., Huerta‐Ramos, E., Usall, J., Cobo, J., Bioque, M., Barbero, J. D., García‐Rizo, C., Tost, M., Monreal, J. A., et al. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.04.012 · Cited by 70
Khandaker, G. M., Štochl, J., Zammit, S., Goodyer, I. M., Lewis, G., & Jones, P. B. (2017) · Psychological Medicine · doi:10.1017/s0033291717003038 · Cited by 67
Stress and chronic illness: The inflammatory pathway
Acabchuk, R. L., Kamath, J., Salamone, J. D., & Johnson, B. T. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.04.039 · Cited by 66
Coping with longitudinal data in research on developmental psychopathology
Cole, D. A. (2006) · International Journal of Behavioral Development · doi:10.1177/0165025406059969 · Cited by 56
Specifying and Interpreting Latent State–Trait Models With Autoregression: An Illustration
Prenoveau, J. M. (2016) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2016.1186550 · Cited by 50
Iob, E., Kirschbaum, C., & Steptoe, A. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.06.008 · Cited by 47
Self-citationZahodne, L. B., Gilsanz, P., Glymour, M. M., Gibbons, L. E., Brewster, P. W. H., Hamilton, J. L., Mez, J. B., Marden, J. R., Nho, K. T., Larson, E. B., et al. (2016) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2016.10.009 · Cited by 22
Biological Embedding of Psychosocial Stress Over the Life Course
Eachus, H., & Cunliffe, V. T. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-811060-7.00012-7 · Cited by 19
Causal inference in psychosocial epidemiology
Glymour, M. M., & Kubzansky, L. D. (2017) · The Routledge International Handbook of Psychosocial Epidemiology · doi:10.4324/9781315673097-2 · Cited by 4
Depression and negative emotions
Steptoe, A. (2017) · Routledge eBooks · doi:10.4324/9781315673097-6 · Cited by 4
Self-citation
Research works printed but not linked: 2
- Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1:385–401. · DOI · Paper page
- NatCen Social Research. English longitudinal study of ageing (ELSA): user guide to the nurse visit datasets. Waves 2, 4, 6, 8. 2018.
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Psychological comorbidity in gastrointestinal diseases: Update on the brain-gut-microbiome axis
Person, H., & Keefer, L. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110209 · Cited by 158
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Lopez, M., Ruiz, M. O., Rovnaghi, C. R., Tam, G. K.-Y., Hiscox, J., Gotlib, I. H., Barr, D. A., Carrión, V. G., & Anand, K. J. S. (2021) · Pediatric Research · doi:10.1038/s41390-020-01264-x · Cited by 200
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Metadata
- Authors
- Iob, E., Kirschbaum, C., & Steptoe, A.
- Affiliations
- University College London (GB)
- Technische Universität Dresden (DE)
- Corresponding author
- Iob, Eleonora
- Venue
- Molecular Psychiatry
- Published
- 2019-08-21
- Volume
- 25
- Issue
- 5
- Pages
- 1130-1140
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- PMC
- PMC7192852
- OpenAlex
- W2969829094
- Cited by
- 305
- References
- 68
- Citations by year
- 2026: 47 · 2025: 65 · 2024: 44 · 2023: 37 · 2022: 45 · 2021: 37 · 2020: 29 · 2019: 1
- FWCI
- 18.29
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Molecular Psychiatry (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- RCUK | Economic and Social Research Council (ES/P000347/1)
- Topics
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- persistent depressive symptoms, HPA axis hyperactivity, inflammation, hair cortisol, C-reactive protein, somatic depressive symptoms, older adults, depression pathophysiology, depression biomarkers, chronic stress
- MeSH terms
- Affect, Aged, C-Reactive Protein, Cognition, Depression, Female, Hair, Humans, Hydrocortisone, Hypothalamo-Hypophyseal System, Inflammation, Longitudinal Studies, Male
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