journal article·2025-02Open access

Intermittent Vibration Induces Sleep via an Allatostatin A‐GABA Signaling Pathway and Provides Broad Benefits in Alzheimer's Disease Models

Yang Mou, Yan Zhang, Yuxian Zheng, Guang He, Zhi‐Xiang Xu, Xiao Xiao, Yong Ping

Advanced Science· Volume 12· Issue 5

Abstract

Abstract While animals across species typically experience suppressed consciousness and an increased arousal threshold during sleep, the responsiveness to specific sensory inputs persists. Previous studies have demonstrated that rhythmic and continuous vibration can enhance sleep in both animals and humans. However, the neural circuits underlying vibration‐induced sleep (VIS) and its potential therapeutic benefits on neuropathological processes in disease models remain unclear. Here, it is shown that intermittent vibration, such as cycles of 30 s on followed by 30 s off, is more effective in inducing sleep compared to continuous vibration. A clear evidence is further provided that allatostatin A (AstA)‐GABA signaling mediates short‐term intermittent vibration‐induced sleep (iVIS) by inhibiting octopaminergic arousal neurons through activating GABAA receptors. The existence of iVIS in mice is corroborated, implicating the GABAergic system in this process. Finally, intermittent vibration not only enhances sleep but also reduces amyloid‐β (Aβ) deposition and reverses memory defects in Alzheimer's disease models. In conclusion, the study defines a central neural circuit involved in mediating short‐term iVIS and the potential implications of vibration in treating sleep‐related brain disorders.
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Research context

OpenAlex topics: Sleep and Wakefulness Research · Circadian rhythm and melatonin · Neuroscience and Neuropharmacology Research

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

Affiliations

Bio‐X Institutes Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education) Shanghai Jiao Tong University Shanghai 200240 China

State Key Laboratory of Medical Neurobiology MOE Frontiers Center for Brain Science, and Institutes of Brain Science Fudan University Shanghai 200032 China

Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence Ministry of Education Behavioural and Cognitive Neuroscience Center Institute of Science and Technology for Brain‐Inspired Intelligence MOE Frontiers Center for Brain Science Fudan University Shanghai 200433 China

Funding

National Natural Science Foundation of China · Shanghai Rising-Star Program · Shanghai Municipal Education Commission

References (72)

Show source-provided references
1. 10.1016/j.neuron.2010.11.03210.1016/j.neuron.2010.11.032 ↗
2. 10.1016/j.cub.2020.10.08210.1016/j.cub.2020.10.082 ↗
3. 10.1016/S0896-6273(00)80877-610.1016/S0896-6273(00)80877-6 ↗
4. 10.7554/eLife.9135510.7554/eLife.91355 ↗
5. 10.1016/j.celrep.2020.10846210.1016/j.celrep.2020.108462 ↗
6. 10.1523/JNEUROSCI.0400-21.202110.1523/JNEUROSCI.0400-21.2021 ↗
7. 10.1016/j.cub.2018.12.00710.1016/j.cub.2018.12.007 ↗
8. 10.1542/peds.61.4.52810.1542/peds.61.4.528 ↗
9. 10.1093/sleep/13.6.53310.1093/sleep/13.6.533 ↗
10. 10.1016/j.cub.2011.05.01210.1016/j.cub.2011.05.012 ↗
11. 10.1038/s41598-018-19880-310.1038/s41598-018-19880-3 ↗
12. 10.1016/j.cub.2018.12.02810.1016/j.cub.2018.12.028 ↗
13. Sluijs R. M. · Front. Neurosci.‐Switz. · 2020 · 13 · 1146
14. 10.1093/brain/83.3.44010.1093/brain/83.3.440 ↗
15. 10.1016/j.bbr.2007.02.01110.1016/j.bbr.2007.02.011 ↗
16. 10.1038/s41586-021-03954-w10.1038/s41586-021-03954-w ↗
17. 10.1016/j.smrv.2020.10138510.1016/j.smrv.2020.101385 ↗
18. 10.1111/nuf.1265910.1111/nuf.12659 ↗
19. 10.2147/NSS.S13486410.2147/NSS.S134864 ↗
20. 10.1007/s00426-011-0335-610.1007/s00426-011-0335-6 ↗
21. 10.1126/science.124122410.1126/science.1241224 ↗
22. 10.1126/sciadv.abc299910.1126/sciadv.abc2999 ↗
23. 10.7554/eLife.88567.310.7554/eLife.88567.3 ↗
24. 10.3389/fphys.2023.108702510.3389/fphys.2023.1087025 ↗
25. 10.1038/s43587-022-00210-210.1038/s43587-022-00210-2 ↗
26. 10.1016/S1474-4422(18)30450-210.1016/S1474-4422(18)30450-2 ↗
27. 10.1038/s41386-019-0478-510.1038/s41386-019-0478-5 ↗
28. 10.1080/19490976.2021.195740710.1080/19490976.2021.1957407 ↗
29. 10.1016/j.cger.2014.04.00710.1016/j.cger.2014.04.007 ↗
30. 10.1038/s41467-018-05875-110.1038/s41467-018-05875-1 ↗
31. 10.1016/j.cub.2021.06.00210.1016/j.cub.2021.06.002 ↗
32. 10.3389/fncel.2018.0008310.3389/fncel.2018.00083 ↗
33. 10.1016/j.neuron.2019.01.04510.1016/j.neuron.2019.01.045 ↗
34. 10.1073/pnas.120077810910.1073/pnas.1200778109 ↗
35. 10.7554/eLife.4048710.7554/eLife.40487 ↗
36. 10.1126/science.120224910.1126/science.1202249 ↗
37. 10.1016/j.neuron.2013.12.01310.1016/j.neuron.2013.12.013 ↗
38. 10.7554/eLife.2651910.7554/eLife.26519 ↗
39. 10.1371/journal.pbio.300201210.1371/journal.pbio.3002012 ↗
40. 10.1016/j.cub.2023.07.04310.1016/j.cub.2023.07.043 ↗
41. 10.1016/j.neuron.2010.01.03210.1016/j.neuron.2010.01.032 ↗
42. 10.7554/eLife.8819810.7554/eLife.88198 ↗
43. 10.1038/s41467-023-38485-710.1038/s41467-023-38485-7 ↗
44. 10.1186/s13024-023-00617-410.1186/s13024-023-00617-4 ↗
45. 10.1007/s00213-014-3445-110.1007/s00213-014-3445-1 ↗
46. 10.1016/j.celrep.2022.11059410.1016/j.celrep.2022.110594 ↗
47. 10.1007/s12035-016-0165-z10.1007/s12035-016-0165-z ↗
48. 10.3390/ijms2411969510.3390/ijms24119695 ↗
49. 10.1016/j.neuroscience.2015.01.03510.1016/j.neuroscience.2015.01.035 ↗
50. 10.1016/j.cub.2015.01.01610.1016/j.cub.2015.01.016 ↗
51. 10.1001/jamanetworkopen.2021.1757310.1001/jamanetworkopen.2021.17573 ↗
52. 10.1371/journal.pgen.100502510.1371/journal.pgen.1005025 ↗
53. 10.1016/j.nbscr.2016.09.00110.1016/j.nbscr.2016.09.001 ↗
54. 10.1371/journal.pbio.300173010.1371/journal.pbio.3001730 ↗
55. 10.1016/j.cell.2023.02.02210.1016/j.cell.2023.02.022 ↗
56. 10.1016/j.neuron.2014.04.03510.1016/j.neuron.2014.04.035 ↗
57. 10.1073/pnas.191525211710.1073/pnas.1915252117 ↗
58. 10.1371/journal.pgen.100634610.1371/journal.pgen.1006346 ↗
59. 10.7554/eLife.6628610.7554/eLife.66286 ↗
60. 10.3389/fphys.2022.92052910.3389/fphys.2022.920529 ↗
61. 10.1371/journal.pbio.300179710.1371/journal.pbio.3001797 ↗
62. 10.1073/pnas.200452311810.1073/pnas.2004523118 ↗
63. 10.1126/sciadv.aaw514110.1126/sciadv.aaw5141 ↗
64. 10.1016/j.smrv.2018.09.00110.1016/j.smrv.2018.09.001 ↗
65. 10.1523/JNEUROSCI.2835-17.201810.1523/JNEUROSCI.2835-17.2018 ↗
66. 10.1038/s41467-022-31591-y10.1038/s41467-022-31591-y ↗
67. 10.3233/JAD-20047810.3233/JAD-200478 ↗
68. 10.1073/pnas.040089510110.1073/pnas.0400895101 ↗
69. 10.1523/JNEUROSCI.1202-06.200610.1523/JNEUROSCI.1202-06.2006 ↗
70. Mou Y. · J. Shanghai Jiaotong Univ. (Science) · 2024
71. 10.1523/JNEUROSCI.0777-18.201810.1523/JNEUROSCI.0777-18.2018 ↗
72. 10.1006/meth.2001.126210.1006/meth.2001.1262 ↗