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  Brain Mechanisms of COVID-19-Sleep Disorders

Semyachkina-Glushkovskaya, O., Mamedova, A., Vinnik, V., Klimova, M., Saranceva, E., Ageev, V., Yu, T., Zhu, D., Penzel, T., Kurths, J. (2021): Brain Mechanisms of COVID-19-Sleep Disorders. - International Journal of Molecular Sciences, 22, 13, 6917.
https://doi.org/10.3390/ijms22136917

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Semyachkina-Glushkovskaya, Oxana1, Autor
Mamedova, Aysel1, Autor
Vinnik, Valeria1, Autor
Klimova, Maria1, Autor
Saranceva, Elena1, Autor
Ageev, Vasily1, Autor
Yu, Tingting1, Autor
Zhu, Dan1, Autor
Penzel, Thomas1, Autor
Kurths, Jürgen2, Autor              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: 2020 and 2021 have been unprecedented years due to the rapid spread of the modified severe acute respiratory syndrome coronavirus around the world. The coronavirus disease 2019 (COVID-19) causes atypical infiltrated pneumonia with many neurological symptoms, and major sleep changes. The exposure of people to stress, such as social confinement and changes in daily routines, is accompanied by various sleep disturbances, known as ‘coronasomnia’ phenomenon. Sleep disorders induce neuroinflammation, which promotes the blood–brain barrier (BBB) disruption and entry of antigens and inflammatory factors into the brain. Here, we review findings and trends in sleep research in 2020–2021, demonstrating how COVID-19 and sleep disorders can induce BBB leakage via neuroinflammation, which might contribute to the ‘coronasomnia’ phenomenon. The new studies suggest that the control of sleep hygiene and quality should be incorporated into the rehabilitation of COVID-19 patients. We also discuss perspective strategies for the prevention of COVID-19-related BBB disorders. We demonstrate that sleep might be a novel biomarker of BBB leakage, and the analysis of sleep EEG patterns can be a breakthrough non-invasive technology for diagnosis of the COVID-19-caused BBB disruption.

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 Datum: 2021-06-282021-06-28
 Publikationsstatus: Final veröffentlicht
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.3390/ijms22136917
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Health
Model / method: Nonlinear Data Analysis
OATYPE: Gold Open Access
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Titel: International Journal of Molecular Sciences
Genre der Quelle: Zeitschrift, SCI, Scopus, oa
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Seiten: - Band / Heft: 22 (13) Artikelnummer: 6917 Start- / Endseite: - Identifikator: Publisher: MDPI
CoNE: https://publications.pik-potsdam.de/cone/journals/resource/international-journal-of-molecular-sciences