Yoko Ikoma, Yusuke Takahashi, Daichi Sasaki, Ko Matsui

It is usually assumed that individuals rest during sleep. However, coordinated neural activity that presumably requires high energy consumption is increased during REM sleep. Here, using freely moving male transgenic mice, the local brain environment and astrocyte activity during REM sleep were examined using the fibre photometry method with an optical fibre inserted deep into the lateral hypothalamus, a region that is linked with controlling sleep and metabolic state of the entire brain. Optical fluctuations of endogenous autofluorescence of the brain parenchyma or fluorescence of sensors for Ca2+ or pH expressed in astrocytes were examined. Using a newly devised method for analysis, changes in cytosolic Ca2+ and pH in astrocytes and changes in the local brain blood volume (BBV) were extracted. On REM sleep, astrocytic Ca2+ decreases, pH decreases (acidification) and BBV increases. Acidification was unexpected, as an increase in BBV would result in efficient carbon dioxide and/or lactate removal, which leads to alkalinization of the local brain environment. Acidification could be a result of increased glutamate transporter activity due to enhanced neuronal activity and/or aerobic metabolism in astrocytes. Notably, optical signal changes preceded the onset of the electrophysiological property signature of REM sleep by ∼20-30 s. This suggests that changes in the local brain environment have strong control over the state of neuronal cell activity. With repeated stimulation of the hippocampus, seizure response gradually develops through kindling. After a fully kindled state was obtained with multiple days of stimuli, the optical properties of REM sleep at the lateral hypothalamus were examined again. Although a negative deflection of the detected optical signal was observed during REM sleep after kindling, the estimated component changed. The decrease in Ca2+ and increase in BBV were minimal, and a large decrease in pH (acidification) emerged. This acidic shift may trigger an additional gliotransmitter release from astrocytes, which could lead to a state of hyperexcitable brain. As the properties of REM sleep change with the development of epilepsy, REM sleep analysis may serve as a biomarker of epileptogenesis severity. REM sleep analysis may also predict whether a specific REM sleep episode triggers post-sleep seizures.