Patient-specific modeling of the neuroendocrine HPA-axis and its relation to depression: Ultradian and circadian oscillations
Tài liệu tham khảo
Sun, 2012, A comparison of melancholic and nonmelancholic recurrent major depression in han chinese women, Depress. Anxiety, 29, 4, 10.1002/da.20875
Bowden, 2001, Strategies to reduce misdiagnosis of bipolar depression, Psychiatr. Serv., 52, 51, 10.1176/appi.ps.52.1.51
Daskalakis, 2013, Endocrine aspects of post-traumatic stress disorder and implications for diagnosis and treatment, Endocrinol. Metab. Clin. N Am., 42, 503513, 10.1016/j.ecl.2013.05.004
NIMH, Depression, National Institute of Mental Health (NIMH), US Department of Health and Human Services, National Institutes of Health NIH Publication No. 11–3561, 2011.
WHO, The world health report 2001 – Mental Health: New Understanding, New Hope, World Health Organization, Geneva, Switzerland, 2001.
Wittchen, 2011, The size and burden of mental disorders and other disorders of the brain in Europe 2010, Eur. Neuropsychopharmacol., 21, 655, 10.1016/j.euroneuro.2011.07.018
Henley, 2009, Development of an automated blood sampling system for use in humans, Med. Eng. Technol., 33, 199, 10.1080/03091900802185970
YeYehuda, 2006, Advances in understanding neuroendocrine alterations in ptsd and their therapeutic implications, Ann. NY Acad. Sci., 1071, 137, 10.1196/annals.1364.012
Deuschle, 1997, Diurnal activity and pulsatility of the hypothalamus–pituitary–adrenal system in male depressed patients and healthy controls, J. Clin. Endocr. Metab., 82, 234, 10.1210/jcem.82.1.3689
Savić, 2006, Stability of a general delay differential model of the hypothalamo–pituitary–adrenocortical system, IJBC, 16, 3079
Carroll, 2007, Pathophysiology of hypercortisolism in depression, Acta Psych. Scand., 115, 90, 10.1111/j.1600-0447.2007.00967.x
Ottesen, 2013, Etiology and diagnosis of major depression a novel quantitative approach, Open J. Endocr. Metab. Dis., 3, 120, 10.4236/ojemd.2013.32018
Conrad, 2009, Modeling the hypothalamus–pituitary–adrenal system: homeostasis by interacting positive and negative feedback, J. Biol. Phys., 35, 149, 10.1007/s10867-009-9134-3
Jelić, 2005, Mathematical modeling of the hypothalamic–pituitary–adrenal system activity, Math. Biosci., 197, 173, 10.1016/j.mbs.2005.06.006
Chrousos, 1998, Ultradian, circadian, and stress-related hypothalamic–pituitary–adrenal axis activity – a dynamic digital-to-analog modulation, Endocrinology, 139, 437, 10.1210/endo.139.2.5857
Mershon, 1992, Evidence of a corticotropin-releasing hormone pulse generator in macaque hypothalamus, Endocrinology, 130, 2991, 10.1210/endo.130.5.1572307
Engler, 1990, Studies of the regulation of the hypothalamic–pituitary–adrenal axis in sheep with hypothalamic–pituitary disconnection. II. Evidence for in vivo ultradian hypersecretion of proopiomelanocortin peptides by the isolated anterior and intermediate pituitary, Endocrinology, 127, 1956, 10.1210/endo-127-4-1956
Walker, 2012, The origin of glucocorticoid hormone oscillations, PLoS Biol., 10, e1001341, 10.1371/journal.pbio.1001341
Engler, 1999, The corticotropin-release inhibitory factor hypothesis: a review of the evidence for the existence of inhibitory as well as stimulatory hypophysiotropic regulation of adrenocorticotropin secretion and biosynthesis, Endocrine Rev., 20, 460
Gillies, 1982, Corticotropin releasing activity of the new CRF is potentiated several times by vasopressin, Nature, 299, 355, 10.1038/299355a0
Nader, 2009, Interactions of the circadian CLOCK system and the HPA-axis, Trends Endocrinol. Metab., 21, 277, 10.1016/j.tem.2009.12.011
Dickmeis, 2011, Glucocorticoids and circadian clock control of cell profileration: at the inteface between three dynamic systems, Mol. Cell. Endocrinol., 331, 11, 10.1016/j.mce.2010.09.001
Dickmeis, 2013, The circadian clock and glucocorticoids – interaction across many time scales, Mol. Cell. Endocrinol., 380, 2, 10.1016/j.mce.2013.05.012
Zhang, 2010, Clocks not winding down: unravelling circadian networks, NATURE Rev. Mol. Cell. Biol., 11, 764, 10.1038/nrm2995
Foster, 2007, Circadian vision, Curr. Biol., 17, R746, 10.1016/j.cub.2007.07.007
Hankins, 2008, Melanopsin: an exciting photopigment, Trends Neurosci., 31, 27, 10.1016/j.tins.2007.11.002
Lockley, 2012
Wilson, 1992
Tortora, 2006
Vinther, 2010, The minimal model of the hypothalamic–pituitary–adrenal axis, J. Math. Biol., 63, 663, 10.1007/s00285-010-0384-2
Andersen, 2013, Mathematical modelling of the hypothalamic–pituitary–adrenal gland (HPA) axis: including hippocampal mechanisms, Math. Biosci., 246, 122, 10.1016/j.mbs.2013.08.010
V. Kyrylov, L.A. Severyanova, A. Zhiliba, The ultradian pulsatility and nonlinear effects in the hypothalamic–pituitary–adrenal axis, in: Proceedings of the 2004 International Conference on Health Sciences Simulation (HSS 2004), San Diego, California, USA, 2004, pp. 103–111.
Kyrylov, 2005, Modeling robust oscillatory behaviour of the hypothalamic–pituitary–adrenal axis, IEEE Trans. Biomed. Eng., 52, 1977, 10.1109/TBME.2005.857671
Savić, 2005, A mathematical model of the hypothalamo–pituitary–adrenocortical system and its stability analysis, Chaos Solitons Fract., 26, 427, 10.1016/j.chaos.2005.01.013
Liu, 1999, A dynamical model for the pulsatile secretion of the hypothalamo–pituitary–adrenal axis, Math. Comput. Modell., 29, 103, 10.1016/S0895-7177(99)00043-6
Bingzhenga, 1990, A mathematical model of the regulation system of the secretion of glucocorticoids, J. Biol. Phys., 17, 221, 10.1007/BF00386598
Bairagi, 2008, Variability in the secretion of corticotropin-releasing hormone adrenocorticotropic hormone and cortisol and understanding of the hypothalamic–pituitary–adrenal axis – a mathematical study based on clinical evidence, Math. Med. Biol., 25, 37, 10.1093/imammb/dqn003
Hinz, 2000, Rapid non-genomic feedback effects of glucocorticoids on CRF-induced ACTH secretion in rats, Pharm. Res., 17, 1273, 10.1023/A:1026499604848
Makara, 2001, Non-genomic effects of glucocorticoids in the neural system evidence, mechanisms and implications, Prog. Neurobiol., 65, 367390, 10.1016/S0301-0082(01)00012-0
Maier, 2005, G-protein-coupled glucocorticoid receptors on the pituitary cell membrane, J. Cell Sci., 118, 3353, 10.1242/jcs.02462
Tasker, 2011, Mechanisms of rapid glucocorticoid feedback inhibition of the hypothalamic–pituitary–adrenal axis, Stress, 14, 398, 10.3109/10253890.2011.586446
Di, 2003, Nongenomic glucocorticoid inhibition via endocannabinoid release in the hypothalamus: a fast feedback mechanism, J. Neurosci., 23, 48504857, 10.1523/JNEUROSCI.23-12-04850.2003
Veldhuis, 1989, Amplitude modulation of a burstlike mode of cortisol secretion subserves the circadian glucocorticoid rhythm, Am. J. Physiol. Endocrinol. Metab., 257, 6, 10.1152/ajpendo.1989.257.1.E6
Keenan, 2001, A feedback-controlled ensemble model of the stress-responsive hypothalamo–pituitary–adrenal axis, Proc. Natl. Acad. Sci. USA, 98, 4028, 10.1073/pnas.051624198
Keenan, 2003, Cortisol feedback state governs adrenocorticotropin secretory-burst shape, frequency, and mass in a dual-waveform construct: time of day-dependent regulation, Am. J. Physiol. Regul. Integr. Comp. Physiol., 285, 950, 10.1152/ajpregu.00299.2003
M. Andersen, F. Vinther, J.T. Ottesen, Global stability in a dynamical system with multiple feedback mechanisms, Appl. Math. (2014) (submitted for publication).
M. Andersen, F. Vinther, Mathematical Modeling of the Hypothalamic–Pituitary–Adrenal Axis, IMFUFA tekst 469, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark, 2010. <http://milne.ruc.dk/imfufatekster/pdf/469.pdf>.
Postnova, 2013, A minimal physiologically based model of the HPA axis under influence of the sleep–wake cycle, Pharmacopsychiatry, 46, S36, 10.1055/s-0033-1333763
Sriram, 2012, Modeling cortisol dynamics in the neuro-endocrine axis distinguishes normal, depression, and post-traumatic stress disorder (PTSD) in humans, PLOS Comput. Biol., 8, 1, 10.1371/journal.pcbi.1002379
Tigges, 2009, A tunable synthetic mammalian oscillator, Nature, 457, 309, 10.1038/nature07616
Braun, 1995
B. Carroll, Carroll Depression Scales-Revised, Technical Report, 2004. <http://www.psychassessments.com.au/products/21/prod21report1.pdf>
McLachlan, 2000
Ngo, 2012, The trace ratio optimization problem, SIAM Rev., 54, 545, 10.1137/120864799
Ching, 2002, A multivariate markov chain model for categorical data sequences and its applications in demand predictions, IMA J. Manage. Math., 13, 187, 10.1093/imaman/13.3.187
W. Ching, L.-M. Li, T. Li, S.-Q. Zhang, A new multivariate markov chain model with applications to sales demand forecasting, International conference on industrial engineering and system managemant, IESM June 2, 2007, pp. 8.
S. Desmond-Hellmann, The Cost of Creating a New Drug Now 5 Billion, Pushing Big Pharma to Change, On the Internet October 31, 2013, 2013. <http://www.forbes.com/sites/matthewherper/2013/08/11/how-the-staggering-cost-of-inventing-new-drugs-is-shaping-the-future-of-medicine/>
Fisher, 1918, The correlation between relatives on the supposition of mendelian inheritance, Trans. R. Soc. Edinb., 52, 399, 10.1017/S0080456800012163
Davidian, 2003, Nonlinear models for repeated measurement data: an overview and update, JABES, 8, 387, 10.1198/1085711032697
S. Beal, L. Sheiner, A. Boeckmann, R.J. Bauer, NONMEM user guides (1989–2011), Technical Report, Icon Development Solutions, Ellicott City, 2011.