Oxytocin‐Mediate Modulation of Splenic Immunosuppression in Chronic Social Stress Through Neuroendocrine Pathways
Source abstract
Abstract
Abstract Chronic social stress (CSS) is a significant public health challenge that negatively impacts behavior and immune function through brain‐spleen interactions. Oxytocin (OT), a neuropeptide critical for social behavior and immune regulation, is upregulated during CSS, though its underlying mechanisms remain unclear. This study investigates the role of OT in splenic immune modulation using a murine model of CSS. Behavioral evaluations, serum oxytocin quantification, and splenic immunophenotypic analysis were performed. Splenic denervation confirmed OT’s neuromodulatory role, whereas OTR antagonism revealed its endocrine function. CSS‐induced OT elevation was associated with immunosuppression, characterized by increased Foxp3⁺ regulatory T cells and reduced CD4⁺ T and CD19⁺ B cells. OT also modulated macrophage polarization, inhibiting M1‐like (pro‐inflammatory) and enhancing M2‐like (anti‐inflammatory) phenotypes. Denervation or pharmacological blockade of OT signaling partly reversed CSS‐induced splenic immunosuppression but adversely affected survival in CSS‐exposed mice. Additionally, denervation or OTR antagonism reduced the mice's response to social defeat, as shown by decreased social avoidance behavior. These findings suggest that OT‐mediated immunosuppression likely represents a compensatory mechanism in response to chronic social stress. Targeting the OT–immune axis could offer innovative therapeutic approaches for stress‐associated disorders by restoring immune homeostasis while maintaining behavioral integrity.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Neuroendocrine regulation and behavior · Stress Responses and Cortisol · Tryptophan and brain disorders
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Anatomy and Histology & Embryology Neuroscience School of Basic Medical Sciences Lanzhou University Lanzhou Gansu 730000 P. R. China
Department of Immunization Program Shaanxi Provincial Center for Disease Control and Prevention Xi'an P. R. China
Key Laboratory of Preclinical Study for New Drugs of Gansu province Lanzhou University Lanzhou Gansu 730000 P. R. China
Funding
National Natural Science Foundation of China
References (78)
Show source-provided references
1. 10.2174/15665240878453383210.2174/156652408784533832 ↗
2. 10.1016/j.iac.2010.09.01110.1016/j.iac.2010.09.011 ↗
3. 10.1016/j.biopsych.2024.07.01410.1016/j.biopsych.2024.07.014 ↗
4. 10.1016/j.copsyc.2015.03.00710.1016/j.copsyc.2015.03.007 ↗
5. 10.1016/j.it.2005.11.00610.1016/j.it.2005.11.006 ↗
6. 10.1038/s41590-022-01321-z10.1038/s41590-022-01321-z ↗
7. 10.1016/j.copsyc.2022.10135310.1016/j.copsyc.2022.101353 ↗
8. 10.1038/s41587-022-01561-210.1038/s41587-022-01561-2 ↗
9. 10.1016/j.neuron.2023.12.02210.1016/j.neuron.2023.12.022 ↗
10. 10.1016/j.cub.2023.11.03710.1016/j.cub.2023.11.037 ↗
11. 10.3389/fphar.2023.117173210.3389/fphar.2023.1171732 ↗
12. 10.1016/j.yhbeh.2021.10500510.1016/j.yhbeh.2021.105005 ↗
13. 10.1016/j.celrep.2018.10.10210.1016/j.celrep.2018.10.102 ↗
14. 10.1007/s00406-019-01092-z10.1007/s00406-019-01092-z ↗
15. 10.1038/s41586-020-2235-710.1038/s41586-020-2235-7 ↗
16. 10.3389/fimmu.2019.0174410.3389/fimmu.2019.01744 ↗
17. Yu S. · Phytomed.: Int. J. Phytother. Phytopharm. · 2024 · 13510.1016/j.phymed.2024.156186 ↗
18. 10.24272/j.issn.2095-8137.2024.14610.24272/j.issn.2095-8137.2024.146 ↗
19. 10.1016/j.neuropharm.2023.10948210.1016/j.neuropharm.2023.109482 ↗
20. 10.1038/nature0370110.1038/nature03701 ↗
21. 10.1186/s10194-021-01299-310.1186/s10194-021-01299-3 ↗
22. 10.3390/ijms2505261310.3390/ijms25052613 ↗
23. 10.1186/s12974-016-0541-710.1186/s12974-016-0541-7 ↗
24. 10.1016/j.cmet.2022.06.00810.1016/j.cmet.2022.06.008 ↗
25. 10.1038/s41392-023-01320-y10.1038/s41392-023-01320-y ↗
26. 10.1007/s12264-024-01296-x10.1007/s12264-024-01296-x ↗
27. 10.1038/s41392-024-01912-210.1038/s41392-024-01912-2 ↗
28. 10.1161/CIRCULATIONAHA.118.03605310.1161/CIRCULATIONAHA.118.036053 ↗
29. 10.1038/s41589-024-01690-610.1038/s41589-024-01690-6 ↗
30. 10.1016/j.neuroscience.2019.07.04610.1016/j.neuroscience.2019.07.046 ↗
31. 10.1038/s41574-022-00742-y10.1038/s41574-022-00742-y ↗
32. 10.1126/scitranslmed.abg869310.1126/scitranslmed.abg8693 ↗
33. 10.1038/s41419-022-05142-810.1038/s41419-022-05142-8 ↗
34. 10.1080/08830185.2023.227457410.1080/08830185.2023.2274574 ↗
35. 10.1016/j.it.2023.04.00510.1016/j.it.2023.04.005 ↗
36. 10.1136/ard.2009.11713510.1136/ard.2009.117135 ↗
37. 10.1016/j.intimp.2024.11153910.1016/j.intimp.2024.111539 ↗
38. 10.1038/ncomms1355910.1038/ncomms13559 ↗
39. 10.1038/ni90410.1038/ni904 ↗
40. 10.1038/s41392-024-01764-w10.1038/s41392-024-01764-w ↗
41. 10.1038/s41375-025-02525-610.1038/s41375-025-02525-6 ↗
42. 10.1101/cshperspect.a02841510.1101/cshperspect.a028415 ↗
43. 10.1186/s12974-021-02313-w10.1186/s12974-021-02313-w ↗
44. 10.1186/s12943-024-01966-410.1186/s12943-024-01966-4 ↗
45. 10.1038/nri271110.1038/nri2711 ↗
46. 10.1084/jem.2019094510.1084/jem.20190945 ↗
47. 10.1002/j.2040-4603.2015.tb00644.x10.1002/j.2040-4603.2015.tb00644.x ↗
48. 10.1111/j.1365-2982.2011.01824.x10.1111/j.1365-2982.2011.01824.x ↗
49. 10.1002/cne.2337610.1002/cne.23376 ↗
50. 10.1371/journal.pone.000315210.1371/journal.pone.0003152 ↗
51. 10.1679/aohc1950.42.16910.1679/aohc1950.42.169 ↗
52. 10.1126/science.adi102510.1126/science.adi1025 ↗
53. 10.1016/j.neuron.2024.10.01810.1016/j.neuron.2024.10.018 ↗
54. 10.1016/j.neubiorev.2020.04.01310.1016/j.neubiorev.2020.04.013 ↗
55. 10.1016/j.jare.2024.04.02510.1016/j.jare.2024.04.025 ↗
56. 10.1038/s41593-024-01685-510.1038/s41593-024-01685-5 ↗
57. 10.1038/s41586-023-06147-910.1038/s41586-023-06147-9 ↗
58. 10.1016/j.cell.2024.09.03010.1016/j.cell.2024.09.030 ↗
59. 10.3389/fnsys.2017.0009410.3389/fnsys.2017.00094 ↗
60. 10.3389/fendo.2015.0016010.3389/fendo.2015.00160 ↗
61. 10.1038/s41467-024-53258-610.1038/s41467-024-53258-6 ↗
62. 10.1038/s41598-018-28456-010.1038/s41598-018-28456-0 ↗
63. 10.1146/annurev-neuro-102320-10284710.1146/annurev-neuro-102320-102847 ↗
64. 10.1038/s41467-024-52815-310.1038/s41467-024-52815-3 ↗
65. 10.1038/nprot.2011.36110.1038/nprot.2011.361 ↗
66. 10.1038/nprot0415-644a10.1038/nprot0415-644a ↗
67. 10.1016/j.biopsych.2020.09.00310.1016/j.biopsych.2020.09.003 ↗
68. 10.1093/bioinformatics/bty56010.1093/bioinformatics/bty560 ↗
69. 10.1038/nmeth.331710.1038/nmeth.3317 ↗
70. 10.1186/gb-2011-12-3-r2210.1186/gb-2011-12-3-r22 ↗
71. 10.1093/bioinformatics/btu63810.1093/bioinformatics/btu638 ↗
72. 10.1186/s13059-014-0550-810.1186/s13059-014-0550-8 ↗
73. 10.1093/nar/gkm88210.1093/nar/gkm882 ↗
74. 10.1073/pnas.050658010210.1073/pnas.0506580102 ↗
75. 10.1038/ng118010.1038/ng1180 ↗
76. 10.1038/s41401-020-0407-510.1038/s41401-020-0407-5 ↗
77. 10.1038/s41380-021-01227-610.1038/s41380-021-01227-6 ↗
78. 10.1371/journal.pbio.200642110.1371/journal.pbio.2006421 ↗