SARS-CoV-2 infection and sleep disturbances: nitric oxide involvement and therapeutic opportunity
Open accessAbstract
During the first week early phase of COVID-19, some patients exhibit symptoms that are mainly due to SARS-CoV-2 replication and the important pulmonary cytolysis that takes place. Thereafter, a progressive decrease in upper airway viral shedding ensues, which may result from the emergence of a cytokine storm [1]. Meanwhile, data regarding the involvement of the nervous system in relation to SARS-CoV-2 infection become progressively available [2]. Here, we consider sleep impairment potentially provoked by virus brain penetration and the nitric oxide (NO)-induced deleterious mechanisms that may emerge. One century ago, H1N1 influenza, another neurotropic virus, provoked sleep disorders related to von Economo’s encephalitis lethargica [3]. In the initial phase, von Economo observed hypersomnia, insomnia associated with “choreatic” dysfunction, parasomnias described as “dissociation of cerebral and body sleep,” “akinetic cases” (sleep paralysis), and “somnambulism.” He related these symptoms to the anterior (“center for regulation of sleep”) and posterior hypothalamus (“wake center”). During this influenza pandemic, sporadic cases of Kleine-Levin syndrome were also reported. An epidemic of narcoleptic-like syndromes was also observed in Chinese children during the 2009–2010 H1N1 influenza pandemic. In intranasally infected mice, 4 weeks after infection, the virus targeted sleep-wake regulatory neurons in lateral hypothalamus (orexin and melanin-concentrating hormone), pontine raphe, and locus cœruleus nuclei [4]. Considering the high prevalence of neurological impairments in COVID-19 patients, as well as the concomitant or subsequent anosmia, ageusia, headache, myalgia, paresthesia, dizziness, and fatigue, one may expect the emergence of sleep problems. Rapid eye movement (REM) sleep behavior disorders (RBD) may occur in Guillain-Barré syndrome, which has been also described in COVID-19 patients [5]. A systematic literature review suggests that a third of COVID-19 patients experience sleep disturbances (reported symptoms: sleep-wake schedule disorders, stress-related sleeplessness associated with anxiety and depression, sleepiness) [6]. However, published data on specific sleep disorders in COVID-19 highly medicalized patients are still lacking. SARS-CoV-2 can be detected in the brain by quantitative RT-PCR. In about half of reported cases, the virus was found in basal ganglia, pyriform and infra-limbic cortices, and brainstem, notably the dorsal vagal complex and the dorsal raphe nucleus [7, 8]. SARS-CoV-2 may penetrate the brain in regions that lack a blood-brain barrier (BBB), such as the area postrema. SARS-CoV-2 binds to angiotensin-converting enzyme (ACE-2) receptors expressed in brain capillary endothelium and vascular smooth muscle cells. Disruption of BBB would allow the virus to enter the brain and bind to ACE-2 receptors on neurons and glial cells [7, 8]. SARS-CoV-2 may enter the brain via cranial nerves (CN), including terminals of olfactory, trigeminal, and gustatory nerves. Anosmia designates the olfactory (CN I), while ageusia reports to lingual (CN VII), cheek (CN V), glossopharyngeal (CN IX), and laryngeal vagal influx (CN X). SARS-CoV-2 may also trigger cerebral processes indirectly in relaying messages through a cytokine storm, and from thoracic and abdominal organs, using the vagal nerve (CN X) route [7, 8]. As a result, the presence of SARS-CoV-2 in the brain may trigger neurological impairments, including sleep disturbances. In healthy conditions, NO is produced by constitutive forms of NO-synthase (NOS), endothelial eNOS, and neuronal nNOS. It is released at a picomolar concentration and plays various regulatory roles for the maintenance of physiological homeostasis. With pathogen invasion (parasites, bacteria, and viruses), the brain reacts by activating microglial cells (the brain’s resident macrophages), and astrocytes. Both cell types belong to the innate immune system and produce cytokines such as interleukins (IL-6, IL-17A), tumor necrosis factor alpha, interferon gamma, and NO. In African trypanosomiasis, for example, inducible NOS (iNOS) is activated in microglial cells and astrocytes, which release high concentrations of parasiticidal NO (above nanomolar concentration); this constitutes the first response to pathogen invasion [9]. Similarly, in COVID-19 and throughout the cytokine storm, iNOS may be expressed in a wide variety of inflammatory and residential cells to release probably large quantities of NO (above nanomolar concentration) in various tissues [9]. For example, in the lungs, marked NO production might then be responsible for the decreased viral replication that takes place during the second phase of the infection [10]. In the brain, such a scenario of pronounced iNOS-dependent NO release may occur, since activated astrocytes and microglial cells were observed together with SARS-CoV-2 viral proteins in lower brainstem cranial nerve nuclei [7, 8]. To our knowledge, suc
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
After entering the brain, the virus may provoke an immune response that releases interleukins, tumour necrosis factor, and nitric oxide.
“Once in the brain, the virus can trigger an immune response resulting in the secretion of interleukins, tumour necrosis factor and nitric oxide (Cespuglio et al., 2021).”
From Long-term effects of COVID-19 on mental health: a systematic review (2022) · cites this paper as Cespuglio et al., 2021
These immune mediators have also been associated with sleep disturbances.
“These have been linked to mood disorders (Dantzer, 2018; Miller and Raison, 2016) and sleep disturbances (Cespuglio et al., 2021) providing some indications of neurological mechanisms through which viral infection may have causal effects on psychiatric disorder onset.”
From Long-term effects of COVID-19 on mental health: a systematic review (2022) · cites this paper as Cespuglio et al., 2021
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884 · see citing works
Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China
Mao, L., Jin, H., Wang, M., Hu, Y., Chen, S., He, Q., Chang, J., Hong, C., Zhou, Y., Wang, D., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.1127 · Cited by 7,166 · see citing works
Neuropathology of patients with COVID-19 in Germany: a post-mortem case series
Matschke, J., Lütgehetmann, M., Hagel, C., Sperhake, J. P., Schröder, A. S., Edler, C., Mushumba, H., Fitzek, A., Allweiss, L., Dandri, M., et al. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30308-2 · Cited by 1,300 · see citing works
The prevalence of depression, anxiety, and sleep disturbances in COVID-19 patients: a meta-analysis
Deng, J., Zhou, F., Hou, W., Silver, Z., Wong, C. Y., Chang, O., Huang, E., & Zuo, Q. K. (2021) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14506 · Cited by 771 · see citing works
SLEEP AS A PROBLEM OF LOCALIZATION
von Economo, C. (1930) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-193003000-00001 · Cited by 687 · see citing works
Román, G. C., Spencer, P. S., Reis, J. J., Buguet, A., Faris, M. E. A., Katrak, S. M., Láinez, M. J. A., Medina, M. T., Meshram, C., Mizusawa, H., et al. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.116884 · Cited by 280 · see citing works
Self-citationÅkerström, S., Gunalan, V., Keng, C. T., Tan, Y., & Mirazimi, A. (2009) · Virology · doi:10.1016/j.virol.2009.09.007 · Cited by 227 · see citing works
Tesoriero, C., Codita, A., Zhang, M., Cherninsky, A., Karlsson, H., Grassi-Zucconi, G., Bertini, G., Harkany, T., Ljungberg, K., Liljeström, P., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521463112 · Cited by 91 · see citing works
Home Nitric Oxide Therapy for COVID-19
Alvarez, R. A., Berra, L. M., & Gladwin, M. T. (2020) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202005-1906ed · Cited by 90 · see citing works
Guillain–Barré syndrome associated with SARS‐CoV‐2 infection. A systematic review
Sanctis, P. D., Doneddu, P. E., Viganó, L. L. S., Selmi, C. F., & Nobile‐Orazio, E. (2020) · European Journal of Neurology · doi:10.1111/ene.14462 · Cited by 78 · see citing works
Nitric oxide in the regulation of the sleep-wake states
Cespuglio, R., Amrouni, D., Meiller, A., Buguet, A., & Gautier-Sauvigné, S. (2012) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2012.01.006 · Cited by 73 · see citing works
Self-citationFree radical scavengers in anaesthesiology and critical care
(2012) · doi:10.4103/0019-5049.98760 · Cited by 39 · see citing works
Cespuglio, R., Amrouni, D., Raymond, E. F., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0215070 · Cited by 14 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Long-term effects of COVID-19 on mental health: a systematic review
Bourmistrova, N. W., Solomon, T., Braude, P., Strawbridge, R., & Carter, B. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.11.031 · Cited by 369 · see citing works
- Authors
- Cespuglio, R., Strekalova, T., Spencer, P. S., Román, G. C., Reis, J., Bouteille, B., & Buguet, A.
- Affiliations
- Lyon 1 Université (FR)
- Sechenov University (RU)
- Oregon Health & Science University (US)
- Houston Methodist (US)
- Université de Strasbourg (FR)
- Hôpital Universitaire Dupuytren (FR)
- Corresponding author
- Cespuglio, Raymond
- ORCID
- Venue
- SLEEP
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-02-04
- Volume
- 44
- Issue
- 3
- ISSN
- 0161-8105 (ISSN-L)
- 1550-9109
- PMC
- PMC7928653
- OpenAlex
- W3126949059
- Cited by
- 19
- References
- 13
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2023: 3 · 2022: 7 · 2021: 5
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- SLEEP (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- HAL (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Health Sciences › Medicine › Neurology › Long-Term Effects of COVID-19
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Keywords
- COVID-19 pandemic, SARS-CoV-2, sleep disorders, nitric oxide, neurotropic viruses, viral encephalitis, REM sleep behavior disorder, Guillain-Barré syndrome, H1N1 influenza, narcolepsy, anosmia, neurological complications of COVID-19, cytokine storm
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review