journal article·2026-03Open access

Dorsal Raphe VIP Neurons Are Critical for Survival‐Oriented Vigilance

Adriane Guillaumin, Emma Perrot, Thibault Dhellemmes, Laura Boi, Daniel De Castro Medeiros, Christelle Glangetas, Sylvie Dumas, Sandra Dovero, Nathalie Biendon, Elodie Ladeveze, Maëlle Hardel, Marc Landry, Erwan Bezard, Jérôme Baufreton, Gilberto Fisone, François Georges

Advanced Science· Volume 13· Issue 18

Abstract

ABSTRACT Defensive behaviors are essential for survival, relying on risk assessment to detect and respond to threats. The dorsal raphe nucleus (DRN), a brain region involved in sleep‐wake regulation, contains dopaminergic neurons (DRN DA ) with unclear roles in threat evaluation. A subset of these neurons expresses vasoactive‐intestinal‐peptide (VIP) and projects to two key regions for adaptive threat responses: the central amygdala (CeA) and the oval nucleus of the bed nucleus of the stria terminalis (ovBNST). We hypothesized that DRN VIP neurons modulate sleep‐wake regulation and play a pivotal role in coordinating activity between the CeA and ovBNST, thereby influencing risk assessment and defensive response. We found that DRN VIP neurons form a distinct feedback loop with PKC‐δ neurons in the CeA and ovBNST. These DRN VIP neurons release glutamate and modulate excitability in target regions. Selective ablation of DRN VIP neurons disrupts active‐phase sleep architecture, enhances risk assessment behaviors that may reflect dysfunctional processing, and impairs defensive responses. Fiber‐photometry revealed direct activation of the DRN VIP neurons during presentation of the visual threat‐predictive cue in behaving mice. These results suggest that DRN VIP neurons regulate specific sleep phases and control defensive behaviors, acting as a neuronal alarm system that responds to threats.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Sleep and Wakefulness Research · Neuroscience of respiration and sleep · Memory and Neural Mechanisms

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

Affiliations

Univ. Bordeaux, CNRS, IMN, UMR 5293 Bordeaux France

Department of Neuroscience Karolinska Institutet Stockholm Sweden

ORAMACELL Paris France

Funding

H2020 European Institute of Innovation and Technology

References (81)

Show source-provided references
1. 10.1016/0166-4328(93)90100-510.1016/0166-4328(93)90100-5 ↗
2. 10.1037/0735-7036.103.1.7010.1037/0735-7036.103.1.70 ↗
3. 10.1016/j.neubiorev.2016.11.00110.1016/j.neubiorev.2016.11.001 ↗
4. 10.1016/S0149-7634(01)00056-210.1016/S0149-7634(01)00056-2 ↗
5. 10.3389/fnins.2022.85019310.3389/fnins.2022.850193 ↗
6. 10.7554/eLife.7369510.7554/eLife.73695 ↗
7. 10.1016/j.celrep.2014.08.03710.1016/j.celrep.2014.08.037 ↗
8. 10.1016/j.bbr.2010.04.05510.1016/j.bbr.2010.04.055 ↗
9. 10.1126/science.114429810.1126/science.1144298 ↗
10. 10.1038/s41467-022-31728-z10.1038/s41467-022-31728-z ↗
11. 10.7554/eLife.4646410.7554/eLife.46464 ↗
12. 10.1016/S0306-4522(00)00019-110.1016/S0306-4522(00)00019-1 ↗
13. 10.1186/1744-9081-6-2410.1186/1744-9081-6-24 ↗
14. 10.1016/j.conb.2020.02.00210.1016/j.conb.2020.02.002 ↗
15. 10.1038/s41593-018-0174-510.1038/s41593-018-0174-5 ↗
16. 10.1016/j.tins.2013.03.00310.1016/j.tins.2013.03.003 ↗
17. 10.1146/annurev-neuro-110920-01192910.1146/annurev-neuro-110920-011929 ↗
18. 10.1016/j.nbd.2022.10592510.1016/j.nbd.2022.105925 ↗
19. 10.1038/s41593-018-0203-410.1038/s41593-018-0203-4 ↗
20. 10.1016/j.cell.2015.12.04010.1016/j.cell.2015.12.040 ↗
21. 10.1038/npp.2016.1210.1038/npp.2016.12 ↗
22. 10.1016/j.neuron.2020.02.00910.1016/j.neuron.2020.02.009 ↗
23. 10.1016/j.neuron.2017.05.02010.1016/j.neuron.2017.05.020 ↗
24. 10.1523/JNEUROSCI.2244-05.200610.1523/JNEUROSCI.2244-05.2006 ↗
25. 10.1523/JNEUROSCI.2690-20.202110.1523/JNEUROSCI.2690-20.2021 ↗
26. 10.1038/s41398-024-03093-610.1038/s41398-024-03093-6 ↗
27. 10.1038/s41467-019-12392-210.1038/s41467-019-12392-2 ↗
28. 10.1111/j.1460-9568.2012.08255.x10.1111/j.1460-9568.2012.08255.x ↗
29. 10.1523/ENEURO.0121-22.202210.1523/ENEURO.0121-22.2022 ↗
30. 10.1016/j.celrep.2014.10.00810.1016/j.celrep.2014.10.008 ↗
31. 10.1016/0306-4522(88)90217-510.1016/0306-4522(88)90217-5 ↗
32. 10.1523/JNEUROSCI.0982-16.201610.1523/JNEUROSCI.0982-16.2016 ↗
33. 10.1016/B978-0-12-815134-1.00003-910.1016/B978-0-12-815134-1.00003-9 ↗
34. 10.1038/nature0955310.1038/nature09553 ↗
35. 10.1038/s41593-022-01130-510.1038/s41593-022-01130-5 ↗
36. 10.1038/s41386-023-01569-510.1038/s41386-023-01569-5 ↗
37. 10.1016/0166-4328(93)90102-V10.1016/0166-4328(93)90102-V ↗
38. 10.1523/JNEUROSCI.17-16-06434.199710.1523/JNEUROSCI.17-16-06434.1997 ↗
39. 10.1038/npp.2015.18510.1038/npp.2015.185 ↗
40. 10.1016/j.tics.2019.12.01610.1016/j.tics.2019.12.016 ↗
41. 10.1093/sleep/zsab21910.1093/sleep/zsab219 ↗
42. 10.1016/j.jchemneu.2010.03.00110.1016/j.jchemneu.2010.03.001 ↗
43. Immunohistochemical Studies on the Localization and Distribution of Monoamine Neuron Systems in the Rat Brain. I. Tyrosine Hydroxylase in the Mes‐ and Diencephalon
44. 10.1016/j.ynstr.2023.10052710.1016/j.ynstr.2023.100527 ↗
45. 10.1016/j.cub.2010.06.03210.1016/j.cub.2010.06.032 ↗
46. 10.1523/JNEUROSCI.1828-22.202310.1523/JNEUROSCI.1828-22.2023 ↗
47. 10.1152/physrev.00042.201810.1152/physrev.00042.2018 ↗
48. 10.1016/S0149-7634(96)00058-910.1016/S0149-7634(96)00058-9 ↗
49. 10.1016/0091-3057(95)00138-M10.1016/0091-3057(95)00138-M ↗
50. 10.1523/JNEUROSCI.1868-23.202410.1523/JNEUROSCI.1868-23.2024 ↗
51. 10.1523/JNEUROSCI.0794-24.202410.1523/JNEUROSCI.0794-24.2024 ↗
52. 10.1016/B978-0-12-819975-6.00027-310.1016/B978-0-12-819975-6.00027-3 ↗
53. 10.1073/pnas.100907610710.1073/pnas.1009076107 ↗
54. 10.1016/j.jpsychires.2021.09.00310.1016/j.jpsychires.2021.09.003 ↗
55. 10.1038/s41586-018-0244-610.1038/s41586-018-0244-6 ↗
56. 10.1016/j.cub.2013.08.01510.1016/j.cub.2013.08.015 ↗
57. 10.1016/j.jneumeth.2011.01.01910.1016/j.jneumeth.2011.01.019 ↗
58. 10.1021/acschemneuro.6b0006410.1021/acschemneuro.6b00064 ↗
59. 10.1007/s00429-018-01825-110.1007/s00429-018-01825-1 ↗
60. 10.1038/nn.376710.1038/nn.3767 ↗
61. 10.3389/fnins.2019.0116110.3389/fnins.2019.01161 ↗
62. 10.1038/npp.2009.10910.1038/npp.2009.109 ↗
63. 10.1016/j.anbehav.2005.01.00810.1016/j.anbehav.2005.01.008 ↗
64. 10.1002/ame2.1236010.1002/ame2.12360 ↗
65. 10.1016/j.neuron.2024.03.02810.1016/j.neuron.2024.03.028 ↗
66. 10.1038/mp.2016.110.1038/mp.2016.1 ↗
67. 10.1093/scan/nsz09510.1093/scan/nsz095 ↗
68. 10.1038/s41398-017-0074-610.1038/s41398-017-0074-6 ↗
69. 10.1016/j.tics.2019.01.01210.1016/j.tics.2019.01.012 ↗
70. 10.1038/ncomms1490810.1038/ncomms14908 ↗
71. 10.1126/science.aaa869410.1126/science.aaa8694 ↗
72. 10.1038/ncomms775610.1038/ncomms7756 ↗
73. 10.1111/ejn.1604310.1111/ejn.16043 ↗
74. 10.1038/s41398-019-0584-510.1038/s41398-019-0584-5 ↗
75. 10.1038/s41598-017-15349-x10.1038/s41598-017-15349-x ↗
76. N.Chiaruttini R. L. M.CC andC.Camarena‐Delgado “ABBA a Novel Tool for Whole‐brain Mapping Reveals Brain‐wide Differences in Immediate Early Genes Induction Following Learning ” (2024):115876.10.1101/2024.09.06.611625 ↗
77. 10.3791/5827110.3791/58271 ↗
78. 10.1016/j.pneurobio.2023.10253610.1016/j.pneurobio.2023.102536 ↗
79. 10.1371/journal.pone.001405310.1371/journal.pone.0014053 ↗
80. 10.1126/sciadv.abe594810.1126/sciadv.abe5948 ↗
81. 10.1172/JCI5942610.1172/JCI59426 ↗