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The Neuroendocrinology of Stress: A Never Ending Story
Abstract
Evolutionary success depends on our ability to adapt to changing circumstances. The neuroendocrine response to stress is an excellent example of a plastic system that responds to threats to homeostasis and alters its output to meet current and expected future demands. At the level of the hypothalamus, the corticotroph secretagogues corticotrophin‐releasing hormone (CRH) and arginine vasopressin (AVP) respond rapidly to an acute stressor but, following chronic stress, they adapt with a reduction of CRH but a major increase in AVP. The release of CRH and AVP activates pro‐opiomelanocortin in anterior pituitary corticotroph cells and the release of adrenocorticotrophic hormone into peripheral blood from where it targets receptors in the adrenal cortex to release glucocorticoid hormones. These hormones (i.e. corticosterone in the rat and cortisol in man) are released in a pulsatile ultradian pattern which defines the normal circadian rhythm. The frequency of the pulses is increased under states of chronic stress, and in rats with genetically determined hyper‐responsiveness of the hypothalamic‐pituitary‐adrenal axis. Interestingly, neonatal influences can also programme alterations in ultradian rhythmicity, implicating epigenetic factors in its regulation. At the level of tissue receptors, the alteration in pattern of glucocorticoid ultradian rhythm has differential effects on mineralocorticoid receptor and glucocorticoid receptor (GR) binding to DNA and offers a mechanism for tissue specific responses to altered glucocorticoid dynamics. The effects of neonatal experience are not only seen at the level of CRH and GR regulation, but also are evident in behavioural responses to stress and in the responsiveness of brain stem serotonergic pathways, as measured by tryptophan hydroxylase mRNA in the brain stem.
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Zimmer, P., Baumann, F. T., Oberste, M., Wright, P., Garthe, A., Schenk, A., Elter, T., Galvao, D. A., Bloch, W., Hübner, S. T., et al. (2016) · BioMed Research International · doi:10.1155/2016/1820954 · Cited by 125
Leiter, O., Seidemann, S., Overall, R. W., Ramasz, B., Rund, N., Schallenberg, S., Grinenko, T., Wielockx, B., Kempermann, G., & Walker, T. L. (2019) · Stem Cell Reports · doi:10.1016/j.stemcr.2019.02.009 · Cited by 119
Does Vitamin C and E Supplementation Impair the Favorable Adaptations of Regular Exercise?
Nikolaidis, M. G., Kerksick, C. M., Lamprecht, M., & McAnulty, S. R. (2012) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2012/707941 · Cited by 116
New insights into corticosteroid-binding globulin and glucocorticoid delivery
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Self-citationVilela, T. C., Muller, A. P., Damiani, A. P., Macan, T. P., da Silva, S., Canteiro, P. B., de Sena Casagrande, A., Pedroso, G. D. S., Nesi, R. T., de Andrade, V. M., et al. (2017) · Molecular Neurobiology · doi:10.1007/s12035-016-0272-x · Cited by 115
Running Changes the Brain: the Long and the Short of It
Vivar, C., & van Praag, H. (2017) · Physiology · doi:10.1152/physiol.00017.2017 · Cited by 114
Mata, F., Valenzuela, P. L., Gimenez, J., Tur, C., Ferreria, D., Domínguez, R., Sanchez-Oliver, A. J., & Martínez Sanz, J. M. (2019) · Nutrients · doi:10.3390/nu11051084 · Cited by 112
Is immunosenescence influenced by our lifetime “dose” of exercise?
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Harmine and Imipramine Promote Antioxidant Activities in Prefrontal Cortex and Hippocampus
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Role of the Brain's Reward Circuitry in Depression
Nestler, E. J. (2015) · International review of neurobiology · doi:10.1016/bs.irn.2015.07.003 · Cited by 108
Environmental programming of susceptibility and resilience to stress in adulthood in male mice
Peña, C. J., Nestler, E. J., & Bagot, R. C. (2019) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2019.00040 · Cited by 97
Physical activity and risk of Parkinson's disease: a prospective cohort study
Logroscino, G., Sesso, H. D., Paffenbarger, R. S., & Lee, I.-M. (2006) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2006.097170 · Cited by 105
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RetractedIñiguez, S. D., Vialou, V., Warren, B. L., Cao, J.-L., Alcantara, L. F., Davis, L. C., Manojlovic, Z., Neve, R. L., Russo, S. J., Han, M.-H., et al. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0951-10.2010 · Cited by 103
Sleep Disturbances in Alzheimer’s and Parkinson’s Diseases
Rothman, S. M., & Mattson, M. P. (2012) · NeuroMolecular Medicine · doi:10.1007/s12017-012-8181-2 · Cited by 102
Biomarkers of post-covid depression
Lorkiewicz, P., & Waszkiewicz, N. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10184142 · Cited by 102
Metadata
- Authors
- Lightman, S. L.
- Venue
- Journal of Neuroendocrinology
- Publisher
- Wiley
- Published
- 2008-06
- Volume
- 20
- Issue
- 6
- Pages
- 880-884
- ISSN
- 0953-8194 (ISSN-L)
- 1365-2826
- OpenAlex
- W2159202946
- Cited by
- 3,566
- References
- 24
- FWCI
- 24.72
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.