Evidence map›Paper›PMID 35778467›Full record

ArticleScientific reports2022

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

Dorela D Shuboni-Mulligan, Demarrius Young, Julianie De La Cruz Minyety, Nicole Briceno, Orieta Celiku, Amanda L King, Jeeva Munasinghe, Herui Wang, Kendra A Adegbesan, Mark R Gilbert and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Dorela D Shuboni-Mulligan *Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. shubonimulligdd@nih.gov.
Demarrius Young *Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Julianie De La Cruz MinyetyNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Nicole BricenoNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Orieta CelikuNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Amanda L KingNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Jeeva MunasingheMouse Imaging Facility, National Institute of Neurological Disorder and Stroke, NIH, Bethesda, MD, USA.
Herui WangNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Kendra A AdegbesanNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Mark R GilbertNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
DeeDee K SmartRadiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Terri S ArmstrongNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
National Cancer Institute · USNational Institutes of Health · USCenter for Cancer Research · USNational Institute of Neurological Disorders and Stroke · US

Funding

Brain Tumor Clinical and Clinical Research Program (Clinical Support Services)ZIDBC011642 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI OZER, BYRAM · 2015 to 2025
$23.4M
Bioinformatics: Characterizing Brain Tumor DateZIABC011784 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GILBERT, MARK · 2017 to 2024
$4.9M
Neuropsychological outcome measures in patients receiving whole brain radiationZIABC011333 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI SMART, DEEDEE · 2010 to 2025
$4.6M
Identifying New Glioma-Associated Tumor Suppressors OncogenesZIABC011647 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GILBERT, MARK · 2015 to 2024
$4.2M
Metabolic imaging of the effects of brain radiotherapyZIABC011790 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI SMART, DEEDEE · 2017 to 2025
$2.8M
6 · The paper itself

Abstract

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.

Indexed as

Circadian RhythmDisorders of Excessive SomnolenceAnimalsBrainDisease Models, AnimalMiceSleepSuprachiasmatic Nucleus

Identifiers

PMID35778467
PMCPMC9249744
OpenAlexW4283754331

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.