journal article·2023-02Open access

Mechanisms of Sleep/Wake Regulation under Hypodopaminergic State: Insights from MitoPark Mouse Model of Parkinson's Disease

Karim Fifel, Masashi Yanagisawa, Tom Deboer

Advanced Science· Volume 10· Issue 5

Abstract

Abstract Sleep/wake alterations are predominant in neurological and neuropsychiatric disorders involving dopamine dysfunction. Unfortunately, specific, mechanisms‐based therapies for these debilitating sleep problems are currently lacking. The pathophysiological mechanisms of sleep/wake alterations within a hypodopaminergic MitoPark mouse model of Parkinson's disease (PD) are investigated. MitoPark mice replicate most PD‐related sleep alterations, including sleep fragmentation, hypersomnia, and daytime sleepiness. Surprisingly, these alterations are not accounted for by a dysfunction in the circadian or homeostatic regulatory processes of sleep, nor by acute masking effects of light or darkness. Rather, the sleep phenotype is linked with the impairment of instrumental arousal and sleep modulation by behavioral valence. These alterations correlate with changes in high‐theta (8–11.5 Hz) electroencephalogram power density during motivationally‐charged wakefulness. These results demonstrate that sleep/wake alterations induced by dopamine dysfunction are mediated by impaired modulation of sleep by motivational valence and provide translational insights into sleep problems associated with disorders linked to dopamine dysfunction.
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Research context

OpenAlex topics: Sleep and Wakefulness Research · Neuroscience and Neuropharmacology Research · Neurotransmitter Receptor Influence on Behavior

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

International Institute for Integrative Sleep Medicine (WPI‐IIIS) University of Tsukuba 1‐1‐1 Tennodai Tsukuba Ibaraki 305–8575 Japan

Department of Cell and Chemical Biology Laboratory of Neurophysiology Leiden University Medical Center P.O. Box 9600 Leiden 2300 RC The Netherlands

References (100+)

Show source-provided references
1. 10.1126/science.aah496810.1126/science.aah4968 ↗
2. 10.1016/S1474-4422(18)30461-710.1016/S1474-4422(18)30461-7 ↗
3. 10.3389/fnins.2020.62733010.3389/fnins.2020.627330 ↗
4. 10.1176/appi.ajp.2020.2007096810.1176/appi.ajp.2020.20070968 ↗
5. 10.1016/j.smrv.2016.08.00110.1016/j.smrv.2016.08.001 ↗
6. 10.1016/j.smrv.2020.10128110.1016/j.smrv.2020.101281 ↗
7. 10.1038/s41583-021-00542-910.1038/s41583-021-00542-9 ↗
8. Nishino S. · Sleep Res. Online · 1998 · 1 · 49
9. 10.1523/JNEUROSCI.21-05-01787.200110.1523/JNEUROSCI.21-05-01787.2001 ↗
10. 10.1038/nn.437710.1038/nn.4377 ↗
11. 10.1073/pnas.161434011310.1073/pnas.1614340113 ↗
12. 10.1016/j.neuron.2017.05.02010.1016/j.neuron.2017.05.020 ↗
13. 10.1371/journal.pbio.200290910.1371/journal.pbio.2002909 ↗
14. 10.1016/j.neuron.2019.08.02610.1016/j.neuron.2019.08.026 ↗
15. 10.1093/cercor/bhu24110.1093/cercor/bhu241 ↗
16. 10.1002/advs.20220064010.1002/advs.202200640 ↗
17. 10.1016/j.cub.2021.12.02610.1016/j.cub.2021.12.026 ↗
18. 10.1038/s41467-021-27375-510.1038/s41467-021-27375-5 ↗
19. Borbély A. A. · Hum. Neurobiol. · 1982 · 1 · 195
20. 10.1152/ajpregu.1984.246.2.R16110.1152/ajpregu.1984.246.2.R161 ↗
21. 10.1111/jsr.1237110.1111/jsr.12371 ↗
22. 10.1038/nn.217910.1038/nn.2179 ↗
23. 10.1073/pnas.080831210510.1073/pnas.0808312105 ↗
24. 10.1371/journal.pbio.100012510.1371/journal.pbio.1000125 ↗
25. 10.1038/npp.2017.29410.1038/npp.2017.294 ↗
26. 10.1073/pnas.060520810310.1073/pnas.0605208103 ↗
27. 10.1038/nrn140610.1038/nrn1406 ↗
28. 10.1016/j.neuron.2010.11.02210.1016/j.neuron.2010.11.022 ↗
29. 10.1016/j.neuron.2012.10.02110.1016/j.neuron.2012.10.021 ↗
30. 10.1038/nn.417310.1038/nn.4173 ↗
31. 10.1038/s41593-018-0152-y10.1038/s41593-018-0152-y ↗
32. 10.1016/j.cell.2020.11.01310.1016/j.cell.2020.11.013 ↗
33. 10.1016/j.smrv.2015.02.00510.1016/j.smrv.2015.02.005 ↗
34. 10.1126/science.276.5316.126510.1126/science.276.5316.1265 ↗
35. 10.1093/sleep/27.6.118110.1093/sleep/27.6.1181 ↗
36. 10.1016/j.expneurol.2021.11370710.1016/j.expneurol.2021.113707 ↗
37. 10.1073/pnas.170098311410.1073/pnas.1700983114 ↗
38. 10.1016/j.brainres.2005.05.02210.1016/j.brainres.2005.05.022 ↗
39. 10.1073/pnas.130829511010.1073/pnas.1308295110 ↗
40. 10.1038/nature1977310.1038/nature19773 ↗
41. 10.1016/j.cell.2018.09.01610.1016/j.cell.2018.09.016 ↗
42. 10.1016/j.neuron.2020.08.00110.1016/j.neuron.2020.08.001 ↗
43. 10.1016/j.cub.2017.06.08410.1016/j.cub.2017.06.084 ↗
44. 10.1007/s00359005034210.1007/s003590050342 ↗
45. 10.1073/pnas.201736411810.1073/pnas.2017364118 ↗
46. 10.1371/journal.pbio.002021210.1371/journal.pbio.0020212 ↗
47. 10.1038/4351177a10.1038/4351177a ↗
48. 10.1126/science.122093910.1126/science.1220939 ↗
49. 10.1038/ncomms1246810.1038/ncomms12468 ↗
50. 10.1016/j.cub.2016.09.01410.1016/j.cub.2016.09.014 ↗
51. 10.7554/eLife.2744510.7554/eLife.27445 ↗
52. 10.7554/eLife.2313010.7554/eLife.23130 ↗
53. 10.1242/jeb.18263410.1242/jeb.182634 ↗
54. 10.1016/j.cub.2018.05.02210.1016/j.cub.2018.05.022 ↗
55. 10.1016/j.cub.2019.07.09110.1016/j.cub.2019.07.091 ↗
56. 10.1126/sciadv.aau925310.1126/sciadv.aau9253 ↗
57. 10.1007/7854_2014_31410.1007/7854_2014_314 ↗
58. 10.1016/S0304-3940(97)00180-810.1016/S0304-3940(97)00180-8 ↗
59. 10.3389/fnins.2019.0032210.3389/fnins.2019.00322 ↗
60. 10.1016/j.neuron.2015.09.01210.1016/j.neuron.2015.09.012 ↗
61. 10.1146/annurev.neuro.28.061604.13572210.1146/annurev.neuro.28.061604.135722 ↗
62. 10.1016/j.neuron.2008.11.00510.1016/j.neuron.2008.11.005 ↗
63. 10.1146/annurev-neuro-071013-01391610.1146/annurev-neuro-071013-013916 ↗
64. 10.1177/089198872098890410.1177/0891988720988904 ↗
65. 10.1016/S0140-6736(21)00218-X10.1016/S0140-6736(21)00218-X ↗
66. 10.1038/1801200a010.1038/1801200a0 ↗
67. 10.1126/science.106696910.1126/science.1066969 ↗
68. 10.1212/WNL.58.3.34110.1212/WNL.58.3.341 ↗
69. 10.1371/journal.pbio.006021610.1371/journal.pbio.0060216 ↗
70. 10.1016/0149-7634(84)90054-X10.1016/0149-7634(84)90054-X ↗
71. 10.1016/j.smrv.2007.10.00310.1016/j.smrv.2007.10.003 ↗
72. 10.1001/jamanetworkopen.2020.1357310.1001/jamanetworkopen.2020.13573 ↗
73. 10.1001/archpsyc.1966.0173013003100510.1001/archpsyc.1966.01730130031005 ↗
74. 10.1038/s41467-018-03889-310.1038/s41467-018-03889-3 ↗
75. 10.1038/s41467-017-00781-410.1038/s41467-017-00781-4 ↗
76. 10.7554/eLife.6990910.7554/eLife.69909 ↗
77. 10.1038/s41380-020-00906-010.1038/s41380-020-00906-0 ↗
78. 10.1038/s41593-021-00894-610.1038/s41593-021-00894-6 ↗
79. 10.1038/npp.2015.35810.1038/npp.2015.358 ↗
80. 10.1038/nature1171310.1038/nature11713 ↗
81. 10.1038/nature1174010.1038/nature11740 ↗
82. 10.1126/science.124924010.1126/science.1249240 ↗
83. 10.1016/j.expneurol.2021.11371610.1016/j.expneurol.2021.113716 ↗
84. 10.1002/jnr.2060210.1002/jnr.20602 ↗
85. 10.1038/sj.npp.130125110.1038/sj.npp.1301251 ↗
86. 10.1038/s41598-018-25770-510.1038/s41598-018-25770-5 ↗
87. 10.1126/science.abl661810.1126/science.abl6618 ↗
88. 10.1016/S0006-8993(01)02603-810.1016/S0006-8993(01)02603-8 ↗
89. 10.1038/nn.280810.1038/nn.2808 ↗
90. 10.1038/nrn.2017.5510.1038/nrn.2017.55 ↗
91. 10.1016/j.tins.2017.02.00410.1016/j.tins.2017.02.004 ↗
92. 10.1016/j.tins.2018.04.00410.1016/j.tins.2018.04.004 ↗
93. 10.1038/nature1000910.1038/nature10009 ↗
94. 10.1038/nm.443310.1038/nm.4433 ↗
95. 10.7554/eLife.6337210.7554/eLife.63372 ↗
96. 10.1152/ajpregu.1999.277.3.R64010.1152/ajpregu.1999.277.3.R640 ↗
97. 10.1002/mds.2686510.1002/mds.26865 ↗
98. 10.1016/j.nbd.2020.10502910.1016/j.nbd.2020.105029 ↗
99. 10.1002/mds.1024210.1002/mds.10242 ↗
100. 10.1002/ana.2536010.1002/ana.25360 ↗