Causal Relationship Between Sleep Traits and Hypothalamic-Pituitary-Target Gland Axis Function: A Mendelian Randomization Study

References

• Irwin MR. Sleep and inflammation: partners in sickness and in health. Nat Rev Immunol. 2019;19(11):702–715. doi:10.1038/s41577-019-0190-z
   PubMed Web of Science ®Google Scholar
• Stickgold R, Walker MP. Sleep-dependent memory consolidation and reconsolidation. Sleep Med. 2007;8(4):331–343. doi:10.1016/j.sleep.2007.03.011
   PubMed Web of Science ®Google Scholar
• Alatzoglou KS, Gregory LC, Dattani MT. Development of the pituitary gland. Compr Physiol. 2020;10(2):389–413.
   PubMed Web of Science ®Google Scholar
• Fleseriu M, Hashim IA, Karavitaki N, et al. Hormonal replacement in hypopituitarism in adults: an endocrine society clinical practice guideline. J Clin Endocrinol Metab. 2016;101(11):3888–3921. doi:10.1210/jc.2016-2118
   PubMed Web of Science ®Google Scholar
• Spiegel K, Leproult R, Van Cauter E. Impact of sleep debt on metabolic and endocrine function. Lancet. 1999;354(9188):1435–1439. doi:10.1016/S0140-6736(99)01376-8
   PubMed Web of Science ®Google Scholar
• Kecklund G, Axelsson J. Health consequences of shift work and insufficient sleep. BMJ. 2016;355:i5210. doi:10.1136/bmj.i5210
   PubMed Web of Science ®Google Scholar
• van Neijenhof RJGP, van Duijn E, Van Den Berg JF, de Waal MWM, van der Mast RC, Comijs HC. Subjective insomnia symptoms and sleep duration are not related to hypothalamic-pituitary-adrenal axis activity in older adults. J Sleep Res. 2018;27(1):40–46. doi:10.1111/jsr.12570
   PubMed Web of Science ®Google Scholar
• Smith GD, Lawlor DA, Harbord R, Timpson N, Day I, Ebrahim S. Clustered environments and randomized genes: a fundamental distinction between conventional and genetic epidemiology. PLoS Med. 2007;4(12):e352. doi:10.1371/journal.pmed.0040352
   PubMed Web of Science ®Google Scholar
• Davies NM, Holmes MV, Davey Smith G. Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians. BMJ. 2018;362:k601. doi:10.1136/bmj.k601
   PubMed Web of Science ®Google Scholar
• Smith GD, Ebrahim S. ‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol. 2003;32(1):1–22. doi:10.1093/ije/dyg070
   PubMed Web of Science ®Google Scholar
• Davey Smith G, Hemani G. Mendelian randomization: genetic anchors for causal inference in epidemiological studies. Hum Mol Genet. 2014;23(R1):R89–R98. doi:10.1093/hmg/ddu328
   PubMed Web of Science ®Google Scholar
• Sudlow C, Gallacher J, Allen N, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015;12(3):e1001779. doi:10.1371/journal.pmed.1001779
   PubMed Web of Science ®Google Scholar
• Sun BB, Maranville JC, Peters JE, et al. Genomic atlas of the human plasma proteome. Nature. 2018;558(7708):73–79. doi:10.1038/s41586-018-0175-2
   PubMed Web of Science ®Google Scholar
• Teumer A, Chaker L, Groeneweg S, et al. Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation. Nat Commun. 2018;9(1):4455. doi:10.1038/s41467-018-06356-1
   PubMedGoogle Scholar
• Bolton JL, Hayward C, Direk N, et al. Genome wide association identifies common variants at the SERPINA6/SERPINA1 locus influencing plasma cortisol and corticosteroid binding globulin. PLoS Genet. 2014;10(7):e1004474.
   PubMed Web of Science ®Google Scholar
• Ruth KS, Day FR, Tyrrell J, et al. Using human genetics to understand the disease impacts of testosterone in men and women. Nat Med. 2020;26(2):252–258. doi:10.1038/s41591-020-0751-5
   PubMed Web of Science ®Google Scholar
• Pott J, Horn K, Zeidler R, et al. Sex-specific causal relations between steroid hormones and obesity-A Mendelian randomization study. Metabolites. 2021;11(11):738. doi:10.3390/metabo11110738
   PubMed Web of Science ®Google Scholar
• Prins BP, Kuchenbaecker KB, Bao Y, et al. Genome-wide analysis of health-related biomarkers in the UK Household Longitudinal Study reveals novel associations. Sci Rep. 2017;7(1):11008. doi:10.1038/s41598-017-10812-1
   PubMedGoogle Scholar
• Dashti HS, Jones SE, Wood AR, et al. Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates. Nat Commun. 2019;10(1):1100. doi:10.1038/s41467-019-08917-4
   PubMed Web of Science ®Google Scholar
• Lane JM, Jones SE, Dashti HS, et al. Biological and clinical insights from genetics of insomnia symptoms. Nat Genet. 2019;51(3):387–393. doi:10.1038/s41588-019-0361-7
   PubMed Web of Science ®Google Scholar
• Jones SE, Lane JM, Wood AR, et al. Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms. Nat Commun. 2019;10(1):343. doi:10.1038/s41467-018-08259-7
   PubMed Web of Science ®Google Scholar
• Coviello AD, Haring R, Wellons M, et al. A genome-wide association meta-analysis of circulating sex hormone-binding globulin reveals multiple Loci implicated in sex steroid hormone regulation. PLoS Genet. 2012;8(7):e1002805. doi:10.1371/journal.pgen.1002805
   PubMed Web of Science ®Google Scholar
• Burgess S, Dudbridge F, Thompson SG. Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods. Stat Med. 2016;35(11):1880–1906. doi:10.1002/sim.6835
   PubMed Web of Science ®Google Scholar
• Bowden J, Del Greco MF, Minelli C, Davey Smith G, Sheehan NA, Thompson JR. Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic. Int J Epidemiol. 2016;45(6):1961–1974. doi:10.1093/ije/dyw220
   PubMed Web of Science ®Google Scholar
• Bowden J, Davey Smith G, Haycock PC, Burgess S. Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol. 2016;40(4):304–314. doi:10.1002/gepi.21965
   PubMed Web of Science ®Google Scholar
• Bowden J, Del Greco MF, Minelli C, Davey Smith G, Sheehan N, Thompson J. A framework for the investigation of pleiotropy in two-sample summary data Mendelian randomization. Stat Med. 2017;36(11):1783–1802. doi:10.1002/sim.7221
   PubMed Web of Science ®Google Scholar
• Glickman ME, Rao SR, Schultz MR. False discovery rate control is a recommended alternative to Bonferroni-type adjustments in health studies. J Clin Epidemiol. 2014;67(8):850–857. doi:10.1016/j.jclinepi.2014.03.012
   PubMed Web of Science ®Google Scholar
• Bowden J, Del Greco MF, Minelli C, et al. Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption. Int J Epidemiol. 2019;48(3):728–742. doi:10.1093/ije/dyy258
   PubMed Web of Science ®Google Scholar
• Greco MFD, Minelli C, Sheehan NA, Thompson JR. Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome. Stat Med. 2015;34(21):2926–2940. doi:10.1002/sim.6522
   PubMed Web of Science ®Google Scholar
• Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through egger regression. Int J Epidemiol. 2015;44(2):512–525. doi:10.1093/ije/dyv080
   PubMed Web of Science ®Google Scholar
• Bowden J, Spiller W, Del Greco MF, et al. Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression. Int J Epidemiol. 2018;47(4):1264–1278. doi:10.1093/ije/dyy101
   PubMed Web of Science ®Google Scholar
• Hemani G, Tilling K, Davey Smith G. Orienting the causal relationship between imprecisely measured traits using GWAS summary data. PLoS Genet. 2017;13(11):1.
   Web of Science ®Google Scholar
• Hemani G, Zheng J, Elsworth B, et al. The MR-base platform supports systematic causal inference across the human phenome. Elife. 2018;7:e34408. doi:10.7554/eLife.34408
   PubMed Web of Science ®Google Scholar
• Plant TM. 60 years of neuroendocrinology: the hypothalamo-pituitary-gonadal axis. J Endocrinol. 2015;226(2):T41–T54. doi:10.1530/JOE-15-0113
   PubMed Web of Science ®Google Scholar
• Rosenwasser AM, Turek FW. Neurobiology of circadian rhythm regulation. Sleep Med Clin. 2015;10(4):403–412. doi:10.1016/j.jsmc.2015.08.003
   PubMed Web of Science ®Google Scholar
• Vas S, Papp RS, Könczöl K, et al. Prolactin-releasing peptide contributes to stress-related mood disorders and inhibits sleep/mood regulatory melanin-concentrating hormone neurons in rats. J Neurosci. 2023;43(5):846–862. doi:10.1523/JNEUROSCI.2139-21.2022
   PubMed Web of Science ®Google Scholar
• Phillipps HR, Yip SH, Grattan DR. Patterns of prolactin secretion. Mol Cell Endocrinol. 2020;502:110679. doi:10.1016/j.mce.2019.110679
   PubMed Web of Science ®Google Scholar
• Aström C, Lindholm J. Growth hormone-deficient young adults have decreased deep sleep. Neuroendocrinology. 1990;51(1):82–84. doi:10.1159/000125320
   PubMed Web of Science ®Google Scholar
• Frieboes RM, Murck H, Schier T, Holsboer F, Steiger A. Somatostatin impairs sleep in elderly human subjects. Neuropsychopharmacology. 1997;16(5):339–345. doi:10.1016/S0893-133X(96)00244-8
   PubMed Web of Science ®Google Scholar
• Van Cauter E, Plat L. Physiology of growth hormone secretion during sleep. J Pediatr. 1996;128(5 Pt 2):S32–S37. doi:10.1016/S0022-3476(96)70008-2
   PubMed Web of Science ®Google Scholar
• Randler C, Schaal S. Morningness-eveningness, habitual sleep-wake variables and cortisol level. Biol Psychol. 2010;85(1):14–18. doi:10.1016/j.biopsycho.2010.04.006
   PubMed Web of Science ®Google Scholar
• Imani MM, Sadeghi M, Khazaie H, et al. Associations between morning salivary and blood cortisol concentrations in individuals with obstructive sleep apnea syndrome: a meta-analysis. Front Endocrinol. 2021;11:568823. doi:10.3389/fendo.2020.568823
   PubMed Web of Science ®Google Scholar
• Nolan BJ, Liang B, Cheung AS. Efficacy of micronized progesterone for sleep: a systematic review and meta-analysis of randomized controlled trial data. J Clin Endocrinol Metab. 2021;106(4):942–951. doi:10.1210/clinem/dgaa873
   PubMed Web of Science ®Google Scholar
• McHenry J, Carrier N, Hull E, Kabbaj M. Sex differences in anxiety and depression: role of testosterone. Front Neuroendocrinol. 2014;35(1):42–57. doi:10.1016/j.yfrne.2013.09.001
   PubMed Web of Science ®Google Scholar
• Michels KA, Mendola P, Schliep KC, et al. The influences of sleep duration, chronotype, and nightwork on the ovarian cycle. Chronobiol Int. 2020;37(2):260–271. doi:10.1080/07420528.2019.1694938
   PubMed Web of Science ®Google Scholar
• Peplonska B, Bukowska A, Lie JA, Gromadzinska J, Zienolddiny S. Night shift work and other determinants of estradiol, testosterone, and dehydroepiandrosterone sulfate among middle-aged nurses and midwives. Scand J Work Environ Health. 2016;42(5):435–446. doi:10.5271/sjweh.3581
   PubMed Web of Science ®Google Scholar
• Randler C, Ebenhöh N, Fischer A, et al. Chronotype but not sleep length is related to salivary testosterone in young adult men. Psychoneuroendocrinology. 2012;37(10):1740–1744. doi:10.1016/j.psyneuen.2012.02.008
   PubMed Web of Science ®Google Scholar
• Manni A, Pardridge WM, Cefalu W, et al. Bioavailability of albumin-bound testosterone. J Clin Endocrinol Metab. 1985;61(4):705–710. doi:10.1210/jcem-61-4-705
   PubMed Web of Science ®Google Scholar
• Sun X, Liu B, Liu S, et al. Sleep disturbance and psychiatric disorders: a bidirectional Mendelian randomisation study. Epidemiol Psychiatr Sci. 2022;31:e26. doi:10.1017/S2045796021000810
   PubMed Web of Science ®Google Scholar
• Liguori C, Mombelli S, Fernandes M, et al. The evolving role of quantitative actigraphy in clinical sleep medicine. Sleep Med Rev. 2023;68:101762. doi:10.1016/j.smrv.2023.101762
   PubMed Web of Science ®Google Scholar