Histamine and hypocretin neurons are localized to the hypothalamus, a brain area critical to autonomic function and sleep. Narcolepsy type 1, also known as narcolepsy with cataplexy, is a neurological disorder characterized by excessive daytime sleepiness, impaired night-time sleep, cataplexy, sleep paralysis and short latency to rapid eye movement (REM) sleep after sleep onset. In narcolepsy, 90% of hypocretin neurons are lost; in addition, two groups reported in 2014 that the number of histamine neurons is increased by 64% or more in human patients with narcolepsy, suggesting involvement of histamine in the aetiology of this disorder. Here, we review the role of the histamine and hypocretin systems in sleep-wake modulation. Furthermore, we summarize the neuropathological changes to these two systems in narcolepsy and discuss the possibility that narcolepsy-associated histamine abnormalities could mediate or result from the same processes that cause the hypocretin cell loss. We also review the changes in the hypocretin and histamine systems, and the associated sleep disruptions, in Parkinson disease, Alzheimer disease, Huntington disease and Tourette syndrome. Finally, we discuss novel therapeutic approaches for manipulation of the histamine system.

Narcolepsy is mainly associated with excessive daytime sleepiness, but the characteristic feature is abnormal rapid eye movement (REM) sleep phenomena. REM sleep disturbances can manifest as cataplexy (in narcolepsy type 1), sleep paralysis, sleep-related hallucinations, REM sleep behavior disorder, abnormal dreams, polysomnographic evidence of REM sleep disruption with sleep-onset REM periods, and fragmented REM sleep. Characterization of REM sleep and related symptoms facilitates the differentiation of narcolepsy from other central hypersomnolence disorders and aids in distinguishing between narcolepsy types 1 and 2. A circuit comprising regions within the brainstem, forebrain, and hypothalamus is involved in generating and regulating REM sleep, which is influenced by changes in monoamines, acetylcholine, and neuropeptides. REM sleep is associated with brainstem functions, including autonomic control, and REM sleep disturbances may be associated with increased cardiovascular risk. Medications used to treat narcolepsy (and REM-related symptoms of narcolepsy) include stimulants/wake-promoting agents, pitolisant, oxybates, and antidepressants; hypocretin agonists are a potential new class of therapeutics. The role of REM sleep disturbances in narcolepsy remains an area of active research in pathophysiology, symptom management, and treatment. This review summarizes the current understanding of the role of REM sleep and its dysfunction in narcolepsy.

Study objectives

This post hoc analysis characterized the weekly incidence and overall duration of common early-onset, treatment-emergent adverse events (TEAEs) during solriamfetol treatment.

Methods

Participants (obstructive sleep apnea [OSA], n = 474; narcolepsy, n = 236) were randomized to 12 weeks of placebo or solriamfetol 37.5 (OSA only), 75, 150, or 300 mg. For common early-onset TEAEs (those occurring in ≥ 5% of participants in any solriamfetol dose group and with a higher incidence than that observed in placebo-treated participants during week 1), the incidence of new occurrence or change in severity over time was calculated for each subsequent study week. Data were analyzed separately for each study and summarized by placebo and combined solriamfetol groups.

Results

Common early-onset TEAEs (at doses ≤ 150 mg; ie, approved doses) included headache (OSA, 5.1%; narcolepsy, 8.5%), nausea (OSA, 2.5%; narcolepsy, 4.2%), decreased appetite (OSA, 4.2%; narcolepsy, 5.9%), as well as anxiety (2.1%), insomnia (1.3%), and feeling jittery (3.0%) in OSA and dry mouth (4.2%) in narcolepsy. Incidence of common early-onset TEAEs was highest at week 1 and decreased over time. In OSA at doses ≤ 150 mg, headache, nausea, and feeling jittery had median durations ≤ 8 days, whereas decreased appetite, anxiety, and insomnia had longer durations. In narcolepsy at doses ≤ 150 mg, headache and nausea had median durations ≤ 8 days, whereas decreased appetite and dry mouth had longer durations. Most TEAEs were mild to moderate in severity.

Conclusions

Common early-onset TEAEs with solriamfetol are limited in duration, with the majority subsiding during the first week of treatment.

Clinical trial registration

Registry: ClinicalTrials.gov; Name: Twelve-week Study of the Safety and Efficacy of JZP-110 in the Treatment of Excessive Sleepiness in Narcolepsy; URL: https://clinicaltrials.gov/ct2/show/NCT02348593; Identifier: NCT02348593; and Name: Twelve-week Study of the Safety and Efficacy of JZP-110 in the Treatment of Excessive Sleepiness in OSA; URL: https://clinicaltrials.gov/ct2/show/NCT02348606; Identifier: NCT02348606.

Citation

Rosenberg R, Thorpy MJ, Dauvilliers Y, et al. Incidence and duration of common early-onset adverse events in randomized controlled trials of solriamfetol for treatment of excessive daytime sleepiness in obstructive sleep apnea and narcolepsy. J Clin Sleep Med. 2022;18(1):235-244.

STUDY OBJECTIVES: Post hoc analysis to evaluate the effect of daridorexant on sleep architecture in people with insomnia, focusing on features associated with hyperarousal. METHODS: We studied sleep architecture in adults with chronic insomnia disorder from two randomized phase 3 clinical studies (Clinicaltrials.gov: NCT03545191 and NCT03575104) investigating 3 months of daridorexant treatment (placebo, daridorexant 25 mg, daridorexant 50 mg). We analyzed sleep-wake transition probabilities, EEG spectra, and sleep spindle properties including density, dispersion, and slow oscillation phase coupling. The wake EEG similarity index (WESI) was determined using a machine learning algorithm analyzing the spectral profile of the EEG. RESULTS: At month 3, daridorexant 50 mg decreased wake-to-wake transition probabilities (p < .05) and increased the probability of transitions from wake-to-N1 (p < .05), N2 (p < .05), and REM sleep (p < .05), as well as from N1-to-N2 (p < .05) compared to baseline and placebo. Daridorexant 50 mg decreased relative beta power during wake (p = .011) and N1 (p < .001) compared to baseline and placebo. During the wake, relative alpha power decreased (p < .001) and relative delta power increased (p < .001) compared to placebo. Daridorexant did not alter EEG spectra bands in N2, N3, and REM stages or in sleep spindle activity. Daridorexant decreased the WESI score during wake compared to baseline (p = .004). Effects with 50 mg were consistent between months 1 and 3 and less pronounced with 25 mg. CONCLUSIONS: Daridorexant reduced EEG features associated with hyperarousal as indicated by reduced wake-to-wake transition probabilities and enhanced spectral features associated with drowsiness and sleep during wake and N1. CLINICAL TRIALS: ClinicalTrials.gov NCT03545191: study to assess the efficacy and safety of ACT-541468 (daridorexant) in adult and elderly participants with insomnia disorder. URL: Study Details | study to assess the efficacy and safety of ACT-541468 (daridorexant) in adult and elderly participants with insomnia disorder | ClinicalTrials.gov ClinicalTrials.gov NCT03575104:study to assess the efficacy and safety of ACT-541468 (daridorexant) in adult and elderly participants who experience difficulties sleeping. URL: study details | study to assess the efficacy and safety of ACT-541468 (daridorexant) in adult and elderly participants who experience difficulties sleeping | ClinicalTrials.gov.

Objectives

To provide evidence-based recommendations and guidance to the public regarding indicators of good sleep quality across the life-span.

Methods

The National Sleep Foundation assembled a panel of experts from the sleep community and representatives appointed by stakeholder organizations (Sleep Quality Consensus Panel). A systematic literature review identified 277 studies meeting inclusion criteria. Abstracts and full-text articles were provided to the panelists for review and discussion. A modified Delphi RAND/UCLA Appropriateness Method with 3 rounds of voting was used to determine agreement.

Results

For most of the sleep continuity variables (sleep latency, number of awakenings >5minutes, wake after sleep onset, and sleep efficiency), the panel members agreed that these measures were appropriate indicators of good sleep quality across the life-span. However, overall, there was less or no consensus regarding sleep architecture or nap-related variables as elements of good sleep quality.

Conclusions

There is consensus among experts regarding some indicators of sleep quality among otherwise healthy individuals. Education and public health initiatives regarding good sleep quality will require sustained and collaborative efforts from multiple stakeholders. Future research should explore how sleep architecture and naps relate to sleep quality. Implications and limitations of the consensus recommendations are discussed.

Allergic rhinitis (AR) is impacted by allergens and air pollution but interactions between air pollution, sleep and allergic diseases are insufficiently understood. POLLAR (Impact of air POLLution on sleep, Asthma and Rhinitis) is a project of the European Institute of Innovation and Technology (EIT Health). It will use a freely-existing application for AR monitoring that has been tested in 23 countries (the Allergy Diary, iOS and Android, 17,000 users, TLR8). The Allergy Diary will be combined with a new tool allowing queries on allergen, pollen (TLR2), sleep quality and disorders (TRL2) as well as existing longitudinal and geolocalized pollution data. Machine learning will be used to assess the relationship between air pollution, sleep and AR comparing polluted and non-polluted areas in 6 EU countries. Data generated in 2018 will be confirmed in 2019 and extended by the individual prospective assessment of pollution (portable sensor, TLR7) in AR. Sleep apnea patients will be used as a demonstrator of sleep disorder that can be modulated in terms of symptoms and severity by air pollution and AR. The geographic information system GIS will map the results. Consequences on quality of life (EQ-5D), asthma, school, work and sleep will be monitored and disseminated towards the population. The impacts of POLLAR will be (1) to propose novel care pathways integrating pollution, sleep and patients literacy, (2) to study sleep consequences of pollution and its impact on frequent chronic diseases, (3) to improve work productivity, (4) to propose the basis for a sentinel network at the EU level for pollution and allergy, (5) to assess the societal implications of the interaction. MASK paper N°32.

Narcolepsy type 1 (NT1) is caused by a loss of hypocretin/orexin transmission. Risk factors include pandemic 2009 H1N1 influenza A infection and immunization with Pandemrix®. Here, we dissect disease mechanisms and interactions with environmental triggers in a multi-ethnic sample of 6,073 cases and 84,856 controls. We fine-mapped GWAS signals within HLA (DQ0602, DQB1*03:01 and DPB1*04:02) and discovered seven novel associations (CD207, NAB1, IKZF4-ERBB3, CTSC, DENND1B, SIRPG, PRF1). Significant signals at TRA and DQB1*06:02 loci were found in 245 vaccination-related cases, who also shared polygenic risk. T cell receptor associations in NT1 modulated TRAJ*24, TRAJ*28 and TRBV*4-2 chain-usage. Partitioned heritability and immune cell enrichment analyses found genetic signals to be driven by dendritic and helper T cells. Lastly comorbidity analysis using data from FinnGen, suggests shared effects between NT1 and other autoimmune diseases. NT1 genetic variants shape autoimmunity and response to environmental triggers, including influenza A infection and immunization with Pandemrix®.