Histological analysis of sleep and circadian brain circuitry in cranial radiation-induced hypersomnolence (C-RIH) mouse model

Disrupted sleep, including daytime hypersomnolence, is a core symptom reported by primary brain tumor patients and often manifests after radiotherapy. The biological mechanisms driving the onset of sleep disturbances after cranial radiation remains unclear but may result from treatment-induced injur...

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Published in:Scientific reports Vol. 12; no. 1; p. 11131
Main Authors: Shuboni-Mulligan, Dorela D., Young, Demarrius, De La Cruz Minyety, Julianie, Briceno, Nicole, Celiku, Orieta, King, Amanda L., Munasinghe, Jeeva, Wang, Herui, Adegbesan, Kendra A., Gilbert, Mark R., Smart, DeeDee K., Armstrong, Terri S.
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 01-07-2022
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Summary:Disrupted sleep, including daytime hypersomnolence, is a core symptom reported by primary brain tumor patients and often manifests after radiotherapy. The biological mechanisms driving the onset of sleep disturbances after cranial radiation remains unclear but may result from treatment-induced injury to neural circuits controlling sleep behavior, both circadian and homeostatic. Here, we develop a mouse model of cranial radiation-induced hypersomnolence which recapitulates the human experience. Additionally, we used the model to explore the impact of radiation on the brain. We demonstrated that the DNA damage response following radiation varies across the brain, with homeostatic sleep and cognitive regions expressing higher levels of γH2AX, a marker of DNA damage, than the circadian suprachiasmatic nucleus (SCN). These findings were supported by in vitro studies comparing radiation effects in SCN and cortical astrocytes. Moreover, in our mouse model, MRI identified structural effects in cognitive and homeostatic sleep regions two-months post-treatment. While the findings are preliminary, they suggest that homeostatic sleep and cognitive circuits are vulnerable to radiation and these findings may be relevant to optimizing treatment plans for patients.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-15074-0