Downloads provided by UsageCounts
doi: 10.6078/d1kd8q
With the world-wide rise in obesity, the prevalence of obstructive sleep apnea has increased, which leads to disordered sleep patterns and consequently inflammation in brain and peripheral tissues. As hypertension is associated with obesity, it is unclear whether increased vascular sheer forces from elevated blood pressure promote inflammation during fragmented sleep. To test this possibility, we pharmacologically manipulated the renin-angiotensin system (RAS) of male C57BL6/j mice using angiotensin and captopril to elevate and reduce blood pressure, respectively. Mice were then exposed to 24 h of sleep fragmentation. Pro- and anti-inflammatory cytokine gene expression was measured in brain and peripheral tissues, as well as endothelial adhesion gene expression in heart and aorta, and serum glucocorticoids (corticosterone). RAS manipulation elevated cytokines and endothelial adhesion expression in heart and aorta while sleep fragmentation increased cytokine expression in brain and peripheral tissues. However, there were interactive effects of RAS manipulation and sleep fragmentation upon cytokine gene expression in hippocampus and hypothalamus, suggesting a potential role of blood pressure in altering neuroinflammation in response to sleep fragmentation. Sleep fragmentation, but not RAS manipulation, elevated serum corticosterone concentration. These findings highlight the contrasting effects of RAS manipulation and sleep fragmentation, implying that inflammation from sleep fragmentation is largely independent of RAS manipulation.
This data set is a combination of ELISA and real-time qPCR. As described in the methods section, the empirical data is from C57BL6/j mice that were pharmacologically manipulated with using angiotensin and captopril to elevate and reduce blood pressure, respectively, to assess the impact of renin-angiotensin systems influence on the inflammatory response to sleep fragmentation.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 7 | |
| downloads | 2 |

Views provided by UsageCounts
Downloads provided by UsageCounts