Mitochondrial Dysfunction Unravels the Potential Molecular Link Between Night Shift Work‐Related Circadian Disruption and Elevated Blood Pressure in Human and Mouse Models
Source abstract
Abstract
ABSTRACT This study demonstrates that circadian rhythm disruption induced by night‐shift work is associated with elevated blood pressure in both murine models and human subjects. By integrating rodent and human epidemiological data, we identify mitochondrial dysfunction as the principal mechanistic contributor to this relationship. In mice, data were obtained at 4 and 10 weeks, with sampling performed at both ZT0 and ZT12. Simulated night shift work elevates blood pressure, induces circadian gene dysregulation (e.g., PER1, BMAL1), and precipitates mitochondrial dysfunction and oxidative stress. These findings are corroborated in human night shift workers, where exposure duration is quantitatively associated with increased systolic and diastolic blood pressure and concomitant dysregulation of circadian and mitochondrial markers. Furthermore, the expression levels of these markers correlate with both night shift work exposure and blood pressure. Collectively, the results establish mitochondrial dysfunction as a critical pathway linking circadian disruption to an elevated blood‐pressure phenotype, offering new insights into the cardiovascular consequences of shift work.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Circadian rhythm and melatonin · Sleep and Work-Related Fatigue · Stress Responses and Cortisol
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Public Health Hangzhou Medical College Hangzhou Zhejiang Province China
School of Medicine and the First Affiliated Hospital Huzhou University Huzhou Zhejiang Province China
Department of Environmental and Occupational Health Jinshan District Center for Disease Control and Prevention Shanghai China
The Third People's Hospital of Tongxiang City Jiaxing Zhejiang Province China
References (53)
Show source-provided references
1. 10.5271/sjweh.378810.5271/sjweh.3788 ↗
2. 10.1172/jci14828610.1172/jci148286 ↗
3. 10.1038/s41467‐023‐42758‐610.1038/s41467‐023‐42758‐6 ↗
4. 10.1590/s0034‐8910.201304700451010.1590/s0034‐8910.2013047004510 ↗
5. 10.3390/ijms2411930910.3390/ijms24119309 ↗
6. 10.1161/hypertensionaha.118.1107510.1161/hypertensionaha.118.11075 ↗
7. 10.1161/hypertensionaha.115.0684710.1161/hypertensionaha.115.06847 ↗
8. 10.3389/fphys.2022.91449710.3389/fphys.2022.914497 ↗
9. 10.1126/science.121985510.1126/science.1219855 ↗
10. 10.1161/circresaha.124.32350810.1161/circresaha.124.323508 ↗
11. 10.1073/pnas.101452310710.1073/pnas.1014523107 ↗
12. 10.1080/15548627.2021.193891310.1080/15548627.2021.1938913 ↗
13. 10.1016/j.cmet.2018.01.01110.1016/j.cmet.2018.01.011 ↗
14. 10.1007/s13238‐020‐00713‐x10.1007/s13238‐020‐00713‐x ↗
15. 10.1161/circresaha.123.32359610.1161/circresaha.123.323596 ↗
16. 10.1038/s41467‐020‐16312‐710.1038/s41467‐020‐16312‐7 ↗
17. 10.1038/nm.206110.1038/nm.2061 ↗
18. 10.1016/b978‐0‐444‐59427‐3.00019‐810.1016/b978‐0‐444‐59427‐3.00019‐8 ↗
19. 10.1016/j.mayocp.2022.04.00710.1016/j.mayocp.2022.04.007 ↗
20. 10.1007/s00420‐016‐1151‐510.1007/s00420‐016‐1151‐5 ↗
21. 10.1097/hjh.000000000000275510.1097/hjh.0000000000002755 ↗
22. 10.1073/pnas.140888611110.1073/pnas.1408886111 ↗
23. 10.1159/00051866910.1159/000518669 ↗
24. 10.1177/074873041982669410.1177/0748730419826694 ↗
25. 10.1016/j.celrep.2022.11063510.1016/j.celrep.2022.110635 ↗
26. 10.1113/jp28595510.1113/jp285955 ↗
27. 10.1089/ars.2021.027410.1089/ars.2021.0274 ↗
28. 10.1016/j.cmet.2015.08.00610.1016/j.cmet.2015.08.006 ↗
29. 10.3389/fimmu.2023.114251210.3389/fimmu.2023.1142512 ↗
30. 10.1177/0748730421106282910.1177/07487304211062829 ↗
31. 10.1016/j.bbabio.2016.03.03510.1016/j.bbabio.2016.03.035 ↗
32. 10.1038/s41440‐024‐01610‐010.1038/s41440‐024‐01610‐0 ↗
33. 10.1093/eurheartj/ehu43610.1093/eurheartj/ehu436 ↗
34. 10.1016/j.bbadis.2016.11.01010.1016/j.bbadis.2016.11.010 ↗
35. 10.1089/ars.2018.763210.1089/ars.2018.7632 ↗
36. 10.1152/physiol.00035.201810.1152/physiol.00035.2018 ↗
37. 10.1161/circresaha.119.31576710.1161/circresaha.119.315767 ↗
38. 10.14814/phy2.1312510.14814/phy2.13125 ↗
39. 10.1155/2021/552351610.1155/2021/5523516 ↗
40. 10.1002/mco2.7027010.1002/mco2.70270 ↗
41. 10.1186/s12964‐024‐01583‐010.1186/s12964‐024‐01583‐0 ↗
42. 10.1371/journal.pone.001130210.1371/journal.pone.0011302 ↗
43. 10.1016/j.mad.2023.11179710.1016/j.mad.2023.111797 ↗
44. 10.5271/sjweh.56310.5271/sjweh.563 ↗
45. 10.1056/NEJMsa121112810.1056/NEJMsa1211128 ↗
46. 10.1183/13993003.01720‐202310.1183/13993003.01720‐2023 ↗
47. 10.1111/add.1650110.1111/add.16501 ↗
48. 10.1001/jamanetworkopen.2024.5859110.1001/jamanetworkopen.2024.58591 ↗
49. 10.1186/s12944‐023‐01948‐310.1186/s12944‐023‐01948‐3 ↗
50. 10.1093/eurheartj/ehab50510.1093/eurheartj/ehab505 ↗
51. 10.1002/14651858.CD007655.pub310.1002/14651858.CD007655.pub3 ↗
52. 10.1080/07420528.2021.188110810.1080/07420528.2021.1881108 ↗
53. 10.1093/bioinformatics/btz73010.1093/bioinformatics/btz730 ↗