Cannabinoids, Endocannabinoids and Sleep
- 1Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism (NIAAA), National Institute of Health (NIH), Bethesda, MD, United States
- 2Center on Compulsive Behaviors, Intramural Research Program, National Institute of Health (NIH), Bethesda, MD, United States
Sleep is a vital function of the nervous system that contributes to brain and bodily homeostasis, energy levels, cognitive ability, and other key functions of a variety of organisms. Dysfunctional sleep induces neural problems and is a key part of almost all human psychiatric disorders including substance abuse disorders. The hypnotic effects of cannabis have long been known and there is increasing use of phytocannabinoids and other formulations as sleep aids. Thus, it is crucial to gain a better understanding of the neurobiological basis of cannabis drug effects on sleep, as well as the role of the endogenous cannabinoid system in sleep physiology. In this review article, we summarize the current state of knowledge concerning sleep-related endogenous cannabinoid function derived from research on humans and rodent models. We also review information on acute and chronic cannabinoid drug effects on sleep in these organisms, and molecular mechanisms that may contribute to these effects. We point out the potential benefits of acute cannabinoids for sleep improvement, but also the potential sleep-disruptive effects of withdrawal following chronic cannabinoid drug use. Prescriptions for future research in this burgeoning field are also provided.
The hypnogenic effects of cannabinoid drugs have long been known (Clendinning, 1843; O’Shaughnessy, 1843; Wallich, 1883; Bradbury, 1899), and there has been considerable recent interest in the use of cannabis Sativa derivatives and other cannabinoid compounds as sleep aids. This interest has coincided with renewed research on cannabis and sleep, including an emphasis on how the endogenous cannabinoids (endocannabinoids, eCBs) contribute to normal and disrupted sleep. However, there is still much to be learned about the cannabinoid/sleep relationship both in humans and experimental animals.
The eCBs are lipid metabolites that produce neuromodulatory actions mainly via activation of the cannabinoid type 1 (CB1) receptor (Grant and Cahn, 2005; Kano et al., 2009). The two major eCBs involved are 2-arachidonoyl-glycerol (2-AG) and arachidonoyl ethanolamide (AEA or anandamide). Activation of CB1 produces juxtacrine intracellular signals mainly through presynaptic actions on neurotransmitter release, as the receptors are expressed almost exclusively on neuronal axon terminals (Lovinger, 2008; Kano et al., 2009). The eCBs are found throughout the body and brain, as 2-AG can be produced by almost every cell type in the body, and AEA is also produced by numerous cell types. Thus, there are multiple locations within the periphery and brain at which eCBs may have actions that influence sleep.
The CB1 receptor is also the major target of Δ-9-tetrahydrocannabinol (THC) the major psychoactive ingredient in cannabis-derived drugs such as marijuana and hashish. This compound acts as a partial CB1 agonist. Previous studies in laboratory animals and humans indicate that THC has hypnogenic effects (Babson et al., 2017), but little is known about the cellular and circuit mechanisms underlying this action. Humans who regularly use cannabis show sleep disruption (Bolla et al., 2008, 2010; Angarita et al., 2016), particularly during withdrawal, and thus it is important to understand the mechanisms underlying effects of chronic THC and other cannabis-derived compounds such as cannabidiol (CBD) on sleep. Interactions between these compounds and eCB actions at CB1 are also likely to be important in sleep alterations (Figure 1). This review article summarizes current knowledge about cannabis/eCB effects on sleep. Future avenues in this research area are also discussed.
Figure 1. General effects of cannabinoid type 1 (CB1) activity on slow-wave sleep (SWS) and paradoxical sleep (PS) in rodents and humans. Top and bottom rows show trends related to SWS and PS, respectively. The rodent panel illustrates trends extrapolated from Pava et al. (2016). The human trends are illustrated using arrows showing the direction, i.e., overall increase or decrease, of change in SWS and PS associated with initial cannabis use, extended use and associated tolerance, and cessation of use.
A Note About Nomenclature and Sleep States
Sleep and the different phases thereof are characterized physiological using polysomnography that includes mainly electroencephalogram (EEG) or electrocorticogram (ECoG) measurements of brain electrical activity and electromyographic (EMG) measurement of muscle activity (Brown et al., 2012). This allows investigators to compare brain state and movement patterns that are now known to be characteristic of the different sleep phases. Human sleep is most often characterized as consisting of rapid-eye-movement (REM; sometimes referred to as paradoxical sleep, or PS, due to its awake state-like EEG phenotype) and slow-wave sleep (SWS, also known as non-REM or NREM) phases. Furthermore, different EEG signals have allowed investigators to separate SWS into different stages in humans, sometimes thought to correspond to the “depth” of this type of sleep (Scammell et al., 2017). In humans, REM sleep is characterized by EEG activity with prominent 3–10 Hz theta activity with diminished EMG activity (Steriade and McCarley, 1990) in some brain regions and 40–60 Hz gamma activity in the cortex that resembles awake-state activity (Horne, 2013). SWS is characterized by, as the name implies, high amplitude EEG activity in slower frequency delta ranges, a lack of EMG activity, and large bouts of higher-frequency EEG activity arising from a thalamocortical activity known as “sleep spindles” (De Gennaro and Ferrara, 2003; Iber et al., 2007). In rodents, it is not clear if there is rapid eye movement during sleep, and thus the phases with REM-like EEG and no EMG activity are often referred to as paradoxical sleep (PS; Toth and Bhargava, 2013). Furthermore, separation of the different stages of SWS sleep is not as obvious as in humans, thus this characterization is not always performed. While the term non-paradoxical sleep is sometimes used to describe NREM sleep in rodents, the term SWS is more descriptive. Thus, in this review article, we will use the terms PS and SWS to refer to the different sleep stages.
Sleep Studies in Humans
Cannabis and THC
It has long been suspected and was later documented, that cannabis has sleep-promoting effects (Clendinning, 1843; O’Shaughnessy, 1843; Wallich, 1883; Bradbury, 1899). Indeed, studies begun several decades ago indicated that acute exposure to cannabis or THC decreased sleep onset latency, decreased waking after sleep onset, increased slow-wave sleep and decreased REM sleep (Pivik et al., 1972; Cousens and DiMascio, 1973; Barratt et al., 1974; Feinberg et al., 1975, 1976). A 2017 survey of over 1,500 patients at a New England medical marijuana dispensary indicated that roughly two-thirds of patients decreased their use of pharmaceutical sleep medication upon medical cannabis use (Piper et al., 2017).
While indeed several studies indicate chronic exposure to THC and other CB1-activating compounds appears to produce modest sleep improvement, the quality of these current data were judged to be low in a recent Cochrane-based metanalysis (Mucke et al., 2018). Another critical review of clinical trial literature (Kuhathasan et al., 2019) stressed the need for further large scale controlled clinical trials. Still, many cannabis users cite sleep improvements as the main use motivator (Bonn-Miller et al., 2014b), and accumulating evidence suggests that cannabis use may offer therapeutic relief to individuals with poor sleep quality related to post-traumatic stress disorder (Bonn-Miller et al., 2014a, 2019; Vandrey et al., 2014; Belendiuk et al., 2015; Loflin et al., 2017) and pain (Lynch and Clark, 2003; Berman et al., 2004; Blake et al., 2006; Ware et al., 2010a; Ware et al., 2010b).
While it is evident that cannabis and THC have acute effects related to sleep, it is also clear that repeated exposure to cannabis and THC produces tolerance to drug actions, including those on sleep (Pranikoff et al., 1973; Barratt et al., 1974; Feinberg et al., 1975; Karacan et al., 1976; Freemon, 1982; Halikas et al., 1985; Gorelick et al., 2013). This can lead to the necessity for increasing dosages to obtain the sleep-promoting action. Several studies indicate that sleep is disrupted during withdrawal after chronic cannabis drug use (Karacan et al., 1976; Bolla et al., 2008, 2010; Vandrey et al., 2011). While the initial studies provided evidence for sleep disruption based on self-report by users, both older and newer studies have provided polysomnographic evidence that corresponds to subject self-report. Decreases in total sleep time, sleep efficiency, NREM, and REM sleep were observed during abstinence in heavy cannabis users (Bolla et al., 2008, 2010; Vandrey et al., 2011). Latency to sleep onset, wake after sleep, and periodic limb movements are also increased in these abstinent users.
Sleep disruption may also play a role in relapse to cannabis use following abstinence in regular users (Babson et al., 2013a, 2017). Altered sleep is observed in the majority of regular users who attempt to quit (Budney et al., 1999, 2008), and this is one of the most consistent and problematic aspects of cannabis withdrawal (Budney et al., 2001, 2003, 2008; Vandrey et al., 2008). Most of those who fail to remain abstinent list poor sleep as a major factor leading to their resumption of cannabis use (Budney et al., 2008), and those subjects slowing sleep disruption, poor sleep quality, in particular, relapse more readily (Copersino et al., 2006; Levin et al., 2010; Babson et al., 2013a,b).
It has also been suggested that cannabis may act centrally as a zeitgeber (Whitehurst et al., 2015), entraining biological rhythms to facilitate daily sleep periods, and thus may serve as a chronobiotic therapeutic compound for individuals with disrupted circadian function, such as the elderly (Hodges and Ashpole, 2019). Evidence suggests there is also chronobiological activity in the eCB system itself in humans. Endocannabinoids show circadian fluctuations in healthy humans assessed by measurement of plasma AEA and 2-AG levels (reviewed in Vaughn et al., 2010). The highest AEA plasma levels occurred upon waking and the lowest just before sleep onset. This pattern is altered by sleep disruption. However, no effect of sleep disruption was observed when AEA was measured in human cerebrospinal fluid (Koethe et al., 2009). In contrast, 2-AG levels did not show prominent circadian fluctuation. Sleep disruption was among the effects reported in the clinical trials of the CB1 antagonist/inverse agonist rimonabant (Steinberg and Cannon, 2007; Nathan et al., 2011), indicating that eCBs may contribute to sleep stability in humans. Based on these data and the findings discussed in the next section describing studies in animal models, it is clear that more research on endocannabinoids and sleep is needed.
Most studies on the effects of cannabinoids in sleep, and in general, have focused on the effects of purified THC, or cannabis preparations with relatively high levels of THC compared to other phytocannabinoids. However, recent interest in therapeutic roles for CBD has ushered in further studies focusing on CBD, including its effects on sleep. In one study, mixed effects of combined THC and CBD have were reported, with THC generally increasing sedation and CBD having opposing, wake-enhancing effects (Nicholson et al., 2004). A long-term study of sleep quality assessed CBD actions using a common self-report instrument found a modest improvement in sleep, and more patients with improved sleep compared to poorer sleep (Shannon et al., 2019). Notably, a study using the Sativex extract formulation (containing approximately equal ~2 mg doses of THC and CBD) to examine sleep in subjects with pain-related sleep disturbances (Russo et al., 2007) reported improved sleep with no evidence of tolerance to the drug action. Thus, there may be cannabis formulations that support sustained sleep improvement. A recent controlled clinical study assessing the acute pharmacodynamic effects of 100 mg of CBD or CBD-dominant cannabis found that vapor inhalation of the latter increased subjective sleepiness. The investigators noted that CBD alone did not have significant effects on sleepiness, so possibly the effects of the CBD-dominant cannabis were due to the relatively small amounts of THC in their CBD-dominant cannabis preparation (Spindle et al., 2020). Indeed the amount of THC in their case was 3.7 mg, a similar concentration as found in many “full spectrum,” <0.3% THC, commercial CBD products (Corroon and Kight, 2018), indicating further controlled research into the physiological effects of these commercial products is necessary. It is still unclear whether acute administration of this relatively low dose of THC alone is enough to produce sleepiness, or whether it has synergistic effects with CBD and other phytocannabinoids in the strain of CBD-dominant cannabis used in this study. Currently, there is at least one larger-scale controlled clinical study to assess the effects of THC and CBD on sleep in patients with diagnosed insomnia (Suraev et al., 2020).
Sleep Studies in Animal Models
Humans often have confounding prior experiences and pre-existing conditions, which is particularly pertinent to sleep research considering that sleep is so easily modulated by many internal and external conditions (Brower and Perron, 2010; Staner, 2010; Kalmbach et al., 2016). Animal models provide an attractive alternative to control for and overcome these concerns (Toth and Bhargava, 2013). Mice and rats are often chosen because of their wide use and availability, similarity to humans in terms of sleep neurocircuitry and neurochemistry, and, particularly in the case of mice, the potential for genetic manipulations such as transgenics, knock-ins, and knock-outs. Additionally, rodents are amenable to the recording of electrocorticogram (ECoG) signals via minimally invasive electrodes placed through the skull in a relatively simple surgical procedure. These ECoG signals provide strong, constant data for quantification of basic vigilance states including SWS, PS, and Wake (Mang and Franken, 2012).
However, there are some important caveats to consider when using rodents to elucidate neurobiological mechanisms of sleep phenomena. Mice and rats are polyphasic sleepers with shorter and more frequent bouts of SWS and PS, compared to humans that typically show monophasic sleep with more consolidated sleep bouts (Campbell and Tobler, 1984). Also, mice and rats spend more time sleeping (12–15 h) than humans (7–8 h) per day (see Figure 3 in Toth and Bhargava, 2013), and mice are most active nocturnally while humans are almost strictly diurnal. Despite differences in timing and architecture of sleep, the apparent similarities to human sleep have made using animal models fundamental to furthering the understanding of the neurobiology of sleep and many important advancements in treatments for sleep pathologies, including insomnia (Wisor et al., 2009), sleep apnea (Yamauchi et al., 2010), and perhaps most famously the role of orexigenic neurons in narcolepsy (Chemelli et al., 1999), can be attributed to pre-clinical research using mice and rats. With this background in mind, the following sections will review studies mainly using mice and rats to investigate cannabinergic components of sleep and sleep effects of cannabinoid drugs.
In Vivo Measurements of Endocannabinoids During Sleep-Wake States
Before discussing how perturbations to the eCB system affect sleep, it is important to understand what we know about eCB activity during sleep in general. Several long-chain fatty acid molecules including those that act in eCB signaling are known to show diurnal fluctuations in neural tissue and seem to follow circadian rhythmicity (Vaughn et al., 2010). Indeed, some studies also suggest endogenous cannabinoids can act as a zeitgeber, i.e., can affect our internal circadian clock (Perron et al., 2001; Sanford et al., 2008; Acuna-Goycolea et al., 2010), indicating that the eCB system plays a role in circadian components of sleep-wake cycling. Rodent models are particularly useful for understanding how eCBs are modulated during the sleep-wake cycle, because they allow for repeated sampling in vivo, or collection of tissue at various timepoints, under controlled conditions. Tissue from specific brain areas that are harvested at various time-points of the laboratory lights-on and lights-off cycle (also referred to as the light/dark phase or period) can be analyzed for eCB content, typically using high-performance liquid chromatography/mass spectrometry. Cerebrospinal fluid, which can often act as a gross proxy for bulk levels of circulating molecules in the CNS, contains diurnally fluctuating levels of AEA (Murillo-Rodriguez et al., 2006a). Similarly, in the pons, a brain stem region known to be involved in sleep-wake regulation (Takata et al., 2018) and generation of REM sleep (Schwartz and Kilduff, 2015), AEA levels are low during the light-phase when rats typically spend more time sleeping, and then increase during the dark-phase, corresponding to increased arousal and wake-activities (Murillo-Rodriguez et al., 2006a). Conversely, CB1R protein expression in the pons shows diurnal variations with peak levels during lights ON periods (Martínez-Vargas et al., 2003). The interactions between diurnal fluctuations in AEA and CB1R levels in this brain stem region may contribute to transitions in or maintenance of sleep-wake states. In the hypothalamus, AEA levels are highest during the light phase (Murillo-Rodriguez et al., 2006a; Matias et al., 2008) when rats spend more time sleeping, suggesting eCB activity here might modulate diurnal variations in homeostatic related behaviors, such as feeding, associated with hypothalamic activity. In the nucleus accumbens, pre-frontal cortex, striatum, and hippocampus, structures associated with limbic and sensorimotor system functions such as learning and memory and action control, 2-AG and AEA show inverse diurnal rhythms, with the former higher during the light-phase and the latter higher during the dark-phase (Valenti et al., 2004; Matias et al., 2008), indicating the distinct role that eCBS play in sleep-wake is complex and needs further elucidation. One possible explanation for the opposing changes in AEA and 2-AG levels during light and dark periods could be that while AEA may promote sleep (Murillo-Rodriguez et al., 1998, 2001; Rueda-Orozco et al., 2010) 2-AG may promote wakefulness (Prospéro-García et al., 2016). The diurnal fluctuation of eCB levels in limbic and sensorimotor structures may reflect their complex role in awake-behavior related learning, e.g., associative learning related to action control (Lovinger and Mathur, 2012; Morena et al., 2014; Gremel et al., 2016; Mateo et al., 2017; Lupica and Hoffman, 2018), and sleep-behavior related learning, e.g., hippocampal-dependent memory consolidation (Riedel and Davies, 2005; De Oliveira Alvares et al., 2008; Yim et al., 2008; Busquets-Garcia et al., 2016).
Effects of Endocannabinoid System Perturbations on Sleep in Rodents
In addition to facilitating in vivo and ex vivo measurements of diurnal eCB activity and how these measurements correlate to sleep-wake states, rodent models allow for more causal experimentation. There are several manipulations, both externally (pharmacologic), and internally (genetic) that can be used in rodent models to affect eCB tone and eCB system function and examine the consequences for sleep.
Typical pharmacologic manipulations include treatment with drugs that either enhance or diminish endocannabinoid tone. Enhancing eCB tone can be accomplished by administering 2-AG and AEA themselves, or by administering agents that increase the amount of these eCBs in the synapse via increasing their synthesis and release, or by inhibiting the proteins that contribute to their reuptake and breakdown. In contrast, decreasing eCB activity in the brain can result from compounds that block eCBs from binding to CB1, or inhibiting their synthesis and release.
CB1 Agonists and Antagonists
Systemic administration of AEA is known to promote sleep (Mechoulam et al., 1997; Murillo-Rodriguez et al., 1998, 2001, 2003), an effect which is partially due to its action in the pedunculopontine tegmental nucleus (PPTg), a hindbrain region implicated in sleep and arousal mechanisms (Murillo-Rodriguez et al., 2001). The effect of both systemic and intra-PPTg AEA administration on sleep is blocked by pretreatment with the CB1 receptor antagonist/inverse agonist SR141716A (Murillo-Rodriguez et al., 2001). Other sleep-promoting effects of systemic AEA administration could also be driven by increases in basal forebrain adenosine (Murillo-Rodriguez et al., 2003), one of the hallmarks of normal wake-sleep transitions (Blanco-Centurion et al., 2006). Direct injection of 2-AG into the lateral hypothalamus, a brain region that contains both awake-promoting orexin neurons and sleep-promoting melanin-concentrating hormone (MCH) neurons (Yamashita and Yamanaka, 2017), has been shown to increase REM sleep, likely by increasing activity in MCH-producing neurons (Perez-Morales et al., 2013). This treatment also mitigates sleep disruption due to early-life stress in rats (Perez-Morales et al., 2014). The hippocampus is also known to be involved in sleep and its role in memory consolidation (Marshall and Born, 2007). Intrahippocampal administration of AEA during the dark phase, but not the light phase, has been shown to increase REM sleep; an effect that is blocked by the CB1 antagonist/inverse agonist AM251 (Rueda-Orozco et al., 2010). Systemic administration of the antagonist/inverse agonist SR141716A itself has also been shown to increase time spent in wakefulness, and decrease SWS and REM in a dose-dependent manner, in addition to reducing the spectral power of ECoG SWS signals (Santucci et al., 1996).
In addition to using systemic or intracranial administration of direct CB1 antagonists and antagonists, several studies have targeted the proteins and enzymes that modulate eCB tone and investigated their effects on sleep and sleep circuitry. Intracerebroventricular (i.c.v) or intraperitoneal (i.p.) injection of the selective fatty acid amide hydrolase (FAAH) inhibitor, URB597, which leads to an accumulation of AEA in the CNS, counterintuitively produced a decrease in SWS and increase in wakefulness. Also, this treatment increased c-Fos immunoreactivity in wake-promoting regions in the hypothalamus and dorsal raphe nucleus, and increased extracellular levels of dopamine in the nucleus accumbens (NAc; Murillo-Rodriguez et al., 2007, 2016). These latter findings may be related to fluctuations in endogenous NAc dopamine (DA) levels during innate sleep-wake cycling in rodents (Lena et al., 2005). Additional studies show that direct micro-infusions of URB597 into lateral hypothalamus or dorsal raphe alone is sufficient to recapitulate wake-promoting and DA-increasing effects seen with i.c.v. administration (Murillo-Rodriguez et al., 2011b). The wake-promoting effects of FAAH inhibition using URB579 in these studies contradict the idea that AEA promotes sleep, and similar studies show that systemic injection of the same URB compound failed to produce a substantial effect on sleep. Rather the more potent FAAH inhibitor AM3506 significantly increases NREM sleep (Pava et al., 2016). The inconsistency in the effects of FAAH antagonism on sleep could be due to differences in routes of administration, dose, and timing of treatments with respect to the light-dark phase. Additionally, factors such as receptor desensitization following prolonged AEA exposure (Zhuang et al., 1998; Garzon et al., 2009) may also be involved in drug effects.
In addition to inhibiting FAAH, it is possible to increase the AEA tone by blocking its reuptake into cells and thereby promoting its intercellular effects. The selective AEA transporter inhibitor, VDM11, when administered i.c.v. or i.p. at the beginning of the light-phase, potentiated sleep, and decreased wakefulness (Murillo-Rodriguez et al., 2008a,b, 2016), an effect recapitulated by infusing VDM11 or a different AEA uptake inhibitor, OMDM-2, directly into the paraventricular thalamic nucleus. These effects were correlated with decreases in extracellular DA levels in the NAc (Murillo-Rodriguez et al., 2013), and are consistent with a hypnogenic effect of AEA increase.
Our group has performed the only study on the effect on sleep of increasing 2-AG tone via inhibiting its degradation enzyme monoacylglycerol lipase (MAGL) using JZL184 (Pava et al., 2016). Systemic administration of this compound profoundly augmented SWS sleep while only slightly reducing PS when administered just before dark-phase, while having a much more modest effect on SWS and stronger effect on PS when administered before light-phase. These data support a role for 2-AG in promoting sleep, as might be expected considering previously discussed studies showing 2-AG increases during the light-phase when rodents spend more time sleeping. However, increasing endogenous 2-AG tone using JZL184 seems to produce effects on REM sleep opposite to those observed following direct infusion of 2-AG into the lateral hypothalamus as described in the previous section, and further research is needed to understand the basis of this inconsistency. It is most likely the case that 2-AG has sleep-promoting effects in some brain regions, but wake-promoting effects in other areas, due to the various synapses it modulates.
Overall, there seems to be a clear consensus in these studies that modulating eCB actions by administering direct agonists or antagonists of the CB1 receptor, or by modulating enzymes involved in their endogenous tone, has profound effects on the time spent in various vigilance states. However, there appear to be some inconsistencies in the literature as to the direction, either increase or decrease, of these effects. These inconsistencies are likely due to the differences in routes of administration and doses of the compounds given. Additionally, many of these studies only examine the effects of these treatments on sleep for shorter periods, on the order of 4–8 h, and report data compiled into particularly large time bins, making it difficult to interpret the role of eCBs on the vigilance-state architecture that contribute to overall times spent in each state. Below we summarize studies from our group that address these issues.
eCBs Mediate Sleep Stability
In a set of experiments aimed to address the poor consensus as to the effects of eCB signaling in sleep and underlying vigilance-state architecture, our group performed experiments that totaled over 11,000 h of ECoG/EMG recordings in mice after different treatments targeting the eCB system (Pava et al., 2016). In these experiments, pharmacologic agents targeting the CB1 receptor itself or the enzymes MAGL/FAAH were administered before both the dark-phase and light-phase. Data was recorded for at least 24 h and within-subject comparisons of baseline, vehicle, and treatment recordings were conducted. In addition to fine-scale analysis of vigilance state architecture including time spent in the state, and the number and duration of bouts, the spectral power densities of each state were also reported. The main findings were that the eCB system plays a role in modulating the stability of vigilance states, rather than driving changes in sleep via mechanisms that are mediated by sleep-homeostasis. The finer-scale analysis of vigilance-state architecture showed that direct activation of CB1 augmented SWS by stabilizing and increasing the duration of individual bouts, while blockade of CB1 using AM281 fragmented SWS. Conversely, REM sleep was suppressed upon activation of CB1 either with direct agonists or MAGL/FAAH inhibition. Importantly, it was shown that increasing eCB signaling had biphasic effects, where manipulations that augmented sleep during the dark-phase had secondary effects of decreasing sleep during the light-phase, all while not altering overall sleep time. This secondary effect is a normal homeostatic response to increased sleep during the dark-phase and indicates that homeostatic machinery remains intact despite perturbations to eCB the eCB system. These results, taken with an additional experiment showing that CB1 blockade had a negligible effect on sleep time and amount of sleep after a period of total sleep deprivation, indicate that eCB signaling is involved in regulating sleep stability rather than mediating sleep homeostatic drive.
In addition to pharmacologic treatments, a handful of studies have employed transgenic techniques to genetically modify mice to over or under-express, or knock-out, genes that play a role in eCB synthesis, degradation, and signaling to examine the effects of these eCB system components on sleep architecture. Mice lacking the gene coding for CB1 protein have reduced and fragmented SWS, a mild reduction in PS sleep, and spend more time awake. They also show alterations in the SWS power spectrum (Pava et al., 2014; Silvani et al., 2014), which is thought to be due to increased cortical excitability (Pava et al., 2014). However, these studies are subject to confounds due to developmental abnormalities in the CB1 knockout mice (Zimmer et al., 1999; Wu et al., 2010). As expected, conversely to CB1 knockout mice, mice lacking the gene for FAAH show augmented SWS that stems from increased SWS bout duration, while maintaining normal sleep homeostasis in response to sleep deprivation (Huitron-Resendiz et al., 2004). Further research is needed to better understand how genetic abnormalities in the eCB system may affect sleep, and these studies should use the power of transgenic/knockout mouse models, e.g., Cre/Lox, to perform this research in a more targeted manner.
Phytocannabinoids and Sleep in Rodents
As mentioned in the “Introduction” section the hypnogenic characteristics of cannabinoids derived from plants, i.e., phytocannabinoids, particularly Cannabis sativa, have been known and exploited for centuries by humans (Clendinning, 1843; O’Shaughnessy, 1843; Wallich, 1883; Bradbury, 1899). As described above in the section on human studies, there is accumulating evidence that phytocannabinoids can produce profound effects on both subjective, e.g., individual reports of sleep quality, and objective, e.g., alterations in polysomnographic recordings, measurements. However, the neurobiological mediators of these effects remain unknown and are difficult to study in humans. However, pre-clinical research has offered insight into the central actions of the main phytocannabinoid derivatives in cannabis, THC, and CBD, in altering sleep-wake states and physiology. Studies using EEG recordings in mice, rats, rabbits, cats, and monkeys began in the late 1960s with reports that, in general, cannabis extracts containing a myriad of phytocannabinoid compounds produced an augmentation of SWS and a reduction of PS that showed some evidence of tolerance after chronic treatment regimens (Masur and Khazan, 1970; Barratt and Adams, 1973, 1975; Wallach and Gershon, 1973; Willinsky et al., 1973). Among these early reports, several studies showed synergistic effects of a cannabis extract, THC, and CBD with sleep caused by anesthetics and other potent hypnogenic compounds (Bose et al., 1963; Garriott et al., 1967; Kubena and Barry, 1970; Paton and Pertwee, 1972; Rating et al., 1972; Chesher et al., 1974; Friedman and Gershon, 1974; Siemens et al., 1974; Oishi et al., 1988). The sleep-prolonging effects of phytocannabinoids in concert with hypnogenics provided early evidence that the still undiscovered eCB system would play a role in the neurobiology of sleep. Subsequently, both preclinical and clinical interest in the interaction between phytocannabinoids and sleep fell during the 1980s and 1990s, possibly due to difficulties in obtaining these compounds due to their federal legal classification. However, recent years have seen a resurgence in this research area (Figure 2), potentially due to clinical indications of sleep disturbances being a major factor in cannabis use disorder and cannabis withdrawal (Haney et al., 1999a,b; Budney et al., 2003, 2004; Vandrey et al., 2011; Gates et al., 2016). In the past two-decades, pre-clinical research has seemingly struggled to expound upon the many clinical reports on phytocannabinoid use and sleep, as it is often still difficult for research laboratories to obtain these agents, however, the current climate towards legalization will hopefully allow more research to be conducted. The majority of recent studies have focused on understanding the individual contributions of either THC or CBD. Indeed, several recent studies have used cannabis extracts (Mondino et al., 2019), purified THC (Kimura et al., 2019), or CBD (Murillo-Rodriguez et al., 2006b, 2008b, 2011a, 2014) to study how acute administration of these compounds affects sleep and sleep-pathologies including sleep apnea (Carley et al., 2002; Calik et al., 2014) and depression increased PS (Hsiao et al., 2012). This increased productivity in animal model studies of phytocannabinoid actions is likely to accelerate and will provide much-needed neurobiological information about the mechanisms involved in the actions of these substances. Also, this work will provide a sound scientific basis for decisions about the use of phytocannabinoids as sleep aids.
Figure 2. The number of scientific publications in PubMed containing sleep and either cannabis, Δ-9-tetrahydrocannabinol (THC), cannabidiol CBD, or cannabinoid from 1963 to 2019. Data collected from PubMed in March 2020. Notice lull in research publications during the 1980s–1990s between prior interest in the 1970s stemming from initial findings on hypnogenic properties of cannabis and its distillates, and later interest after the discovery of the endocannabinoid system and identification of sleep effects during cannabis use, abuse, and withdrawal.
Molecular Mechanisms Potentially Underlying Cannabinoid Effects on Sleep
It is not yet clear which eCB has a more prominent role in the hypnotic effects of eCBs, and indeed both 2-AG and AEA may be involved. As mentioned in previous sections, acutely elevated levels of either eCB by inhibiting the enzymes responsible for catabolism increased NREM sleep and affects sleep stability in mice (Pava et al., 2016). Given that effects on sleep differ with acute vs. chronic use of cannabis and cannabinoid pharmaceuticals, it would be interesting to study how chronic disruption of FAAH or MAGL activity affects sleep. To our knowledge, no such studies have been conducted.
Similarly, further studies are needed to determine if altering eCB production, rather than catabolism, reduces or disrupts sleep, though certainly blocking their endogenous action on CB1 has sleep affects. This will be more easily accomplished for 2-AG, as abundant tools are available for inhibition or genetic disruption of DAG lipase activity. Unfortunately, there is still uncertainty about the major AEA synthesis pathway (Lu and Mackie, 2016), and thus it will be difficult to assess the effects of disrupting the production of this eCB. Another significant question that should drive future research is the brain regional and synaptic location of eCB signaling important for sleep. The observation that peripheral manipulations of eCB signaling have an overall hypnogenic effect suggests that there may not be opposing mechanisms related to sleep. Indeed, there may be several brain regions in which eCBs act to promote sleep. We will return to the discussion of possible brain regions involved in eCB hypnotic effects later in this section of the review.
The eCB roles in sleep involve the CB1 receptor (Figure 3). As Pava et al. (2016) showed, antagonism of this receptor eliminates the sleep-promoting effects of acute eCB elevation and CB1 agonists. Also, the application of CB1 inverse agonists reduced NREM sleep, indicating a role for CB1-mediated eCB signaling in sleep promotion even in the absence of pharmacological enhancement of 2-AG or AEA signaling. It is likely that THC also produces acute sleep-promoting and chronic sleep-disrupting effects through its known actions at CB1. The intracellular mechanisms proximal to CB1 activation are well known, and likely to be the first steps in sleep promotion. The liberation of the Gαi/o G-protein subunit inhibits Adenylyl cyclase (AC), the enzyme that catalyzes the production of cycle adenosine-monophosphate (cAMP; Filipek et al., 2012), whose signaling is a highly conserved component of sleep regulation (Zimmerman et al., 2008) and known to be altered upon sleep-deprivation (Vecsey et al., 2009; Havekes et al., 2012). Inhibition of cAMP production is thought to decrease neurotransmitter release by reducing the activity of protein kinase A (PKA) and altered phosphorylation of vesicle-associated proteins such as Rim1 (Lonart et al., 2003; Chevaleyre et al., 2007). This intracellular signaling pathway has also been linked to protein synthesis in presynaptic terminals that is involved in long-term synaptic depression (Younts et al., 2016). Receptor-mediated liberation of the beta/gamma subunits allows this complex to bind directly to voltage-gated calcium channels of the N (containing the CaV2.2 alpha subunit) and P/Q (containing the CaV2.1 alpha subunit) types to reduce the calcium entry needed for excitation/secretion coupling. A similar mechanism is involved in activation of the G-protein-activated inwardly-rectifying potassium (GIRK) ion channel (Betke et al., 2012). This channel activation mechanism may also shunt action potentials entering the axon terminal, thus reducing calcium influx indirectly. Also, beta/gamma subunits interact with proteins involved in vesicle fusion, yielding a direct inhibition of the fusion process (Yim et al., 2018). Thus, the predominantly presynaptic CB1 receptor can reduce neurotransmitter release via different mechanisms, with the beta/gamma subunit-mediated processes yielding fast and transient reductions, and the alpha subunit/AC/PKA mechanisms likely involved in longer-term reductions that outlast receptor occupancy (Monday et al., 2018). Indeed, reduction in neuronal activity, either by blocking excitatory action or increasing inhibitory tone, is a hallmark of many classical hypnogenic compounds including benzodiazepines and alcohol, and more recent non-benzodiazepine-type hypnotics like zolpidem (Smith, 1977; Doble, 1999; Sanger, 2004; Hammer et al., 2015).
Figure 3. Molecular mechanisms of central cannabinoid action. Schematic diagram of the endocannabinoid (eCB) system perturbations that have been used in experiments and have altered sleep. eCBs, either anandamide/N-arachidonoylethanolamine (AEA) or 2-arachidonoylglycerol (2-AG), generated and then released from the postsynaptic neuron typically act on presynaptic CB1 receptors to reduce presynaptic neurotransmitter release via several intracellular signaling cascades. AEA and 2-AG are then typically catabolized and removed from the system by fatty acid amide hydrolase (FAAH) and monoacylglycerol lipase (MAGL), respectively. See Figure 1 for trends in sleep that can occur from the two scenarios further illustrated on the right side of the schematic.
The CB1 receptor has also been reported to alter intracellular signaling in glia (Navarrete and Araque, 2008, 2010; Stella, 2010; Han et al., 2012) and some postsynaptic neuronal elements (Ong and Mackie, 1999; Bacci et al., 2004; see Cachope, 2012 and Castillo et al., 2012 for further information on this eCB signaling modalities). These mechanisms should also be considered in exploring the range of receptor actions that could be involved in affecting sleep. For example, a recent study found that neurons in the suprachiasmatic nucleus, a hypothalamic region critical for controlling the circadian rhythm, release eCBs that activate intracellular astrocyte signaling which subsequently influences circadian clock timing (Hablitz et al., 2020).
Receptor signaling independent of G-proteins has been characterized for several GPCRs, including CB1 (Rajagopal et al., 2010), although this concept is still somewhat controversial (Grundmann et al., 2018). The best-characterized signaling process of this type involves receptor internalization followed by phosphorylation of the receptor that is catalyzed by GPCR receptor kinases (GRKs; Rajagopal et al., 2010). This phosphorylation in turn promotes the binding of beta-arrestin to the receptor to initiate receptor internalization and entry into recycling/degradation pathways (Priestley et al., 2017). This molecular mechanism can also promote intracellular signaling including phosphorylation of the extracellular signaling-related kinase (ERK, aka MAPK) and other phosphoproteins that promote long-term intracellular changes and can affect gene-regulation mechanisms (Rajagopal et al., 2010). It should be noted that these effects are generally engaged by prolonged receptor occupancy. Thus, signaling through such pathways may be a good candidate for sleep disruption following chronic exposure to THC or chronically-elevated eCB levels.
Adaptations in synaptic transmission produced by chronic THC exposure provide information about mechanisms that could contribute to sleep disruption. There is considerable physiological evidence that CB1 receptor inhibition of neurotransmitter release is reduced or lost following chronic THC exposure (Hoffman et al., 2003, 2007; Mato et al., 2005; Nazzaro et al., 2012). This functional tolerance has been observed at both glutamatergic and GABAergic synapses, and in brain regions including the dorsal striatum, hippocampus, and NAc. The molecular mechanisms taking place within axon terminals that mediate the loss of synaptic modulation are not fully understood, mainly due to the difficulty of measuring intracellular signaling in these tiny subcellular components. However, several candidate mechanisms for tolerance have been suggested based on the measurement of signaling molecules and manipulation of signaling pathways both in vivo and in brain slice and cell culture preparations.
Indeed, reduced CB1 radioligand binding has been observed in the cerebellum, cerebral cortex, hippocampus, globus pallidus, spinal cord, striatum, and other brain regions following chronic agonist exposure (Romero et al., 1997; Breivogel et al., 1999; Rubino et al., 2000, 2004; Tonini et al., 2006; Tappe-Theodor et al., 2007; Martini et al., 2010). The most convincing evidence for agonist-induced decreases in CB1 at specific presynaptic terminals comes from the work of Mikasova et al. (2008) who examined receptor mobility in cortical neurons using single-molecule tracking, and Dudok et al. (2015) who used STORM super-resolution microscopy to image and quantify CB1 on GABAergic terminals in the CA1 region of the hippocampus. In the latter study chronic THC exposure led to a clear decrease in the receptors on these terminals. Several mechanisms for CB1 downregulation have been explored. The aforementioned role for beta-arrestin in signaling by internalized receptors may also play a role in altering recycling and degradation. Exposure to THC increases the expression of several GRK and beta-arrestin subtypes (Rubino et al., 2006). Altering beta-arrestin expression and signaling has also been shown to alter molecular and behavioral indices of cannabinoid tolerance (Nguyen et al., 2012), but mixed effects have been observed in different studies (Nguyen et al., 2012; Breivogel et al., 2013; Breivogel and Vaghela, 2015).
Receptor-associated proteins have also been implicated in CB1 downregulation and tolerance. The GASP1 protein is implicated in agonist-induced downregulation of several GPCRs including CB1 (Martini et al., 2010). Mice that lack GASP1 did not show agonist-induced downregulation of CB1, and the protein has been implicated in agonist-induced receptor internalization and behavioral tolerance (Tappe-Theodor et al., 2007; Martini et al., 2010). The Src homology 3-domain growth factor receptor-bound 2-like (endophilin) interacting protein 1 (SGIP1) appears to interact with CB1 at the C-terminus. This binding inhibits clathrin-mediated CB1 endocytosis and enhances receptor interaction with beta-arrestin2 (Hajkova et al., 2016). The CRIP protein has also been postulated to interact with CB1 and reduce receptor internalization (Smith et al., 2015).
Among the intracellular signaling pathways implicated in tolerance to CB1 activation are those involving cAMP/PKA and ERK. As previously mentioned, acute CB1 activation generally inhibits AC leading to decreased PKA activation. This effect may be lost or diminished following chronic agonist exposure, and indeed increased cAMP levels have been observed following such treatment (Rubino et al., 2000; Tzavara et al., 2000). In the cerebellum, the timing of the increase in cAMP levels parallels that of the onset of antagonist-precipitated withdrawal signs (Tzavara et al., 2000). These investigators also showed that inhibiting PKA in the cerebellum reduced the severity of withdrawal. Chronic exposure to low-dose THC resulted in the upregulation of the cAMP/PKA-activated phospho-CREB transcription factor in the hippocampus (Fishbein et al., 2012). Thus, activation of cAMP/PKA signaling during chronic THC exposure likely alters the expression of genes that can have wide-ranging effects on synaptic transmission and neuronal function, potentially affecting central control of sleep.
There is also considerable evidence that the ERK pathway contributes to CB1 tolerance following in vivo agonist exposure. As mentioned above, receptor activation, including THC, increases ERK phosphorylation. Activation of ERK may involve receptor internalization and beta-arrestin mechanisms, as discussed previously (Rajagopal et al., 2010), but inhibition of AC can also result in ERK phosphorylation/activation (Davis et al., 2003). This activation continues during chronic THC exposure in brain regions including the cerebellum, hippocampus, and prefrontal cortex (Rubino et al., 2004; Tonini et al., 2006). In Ras-GRF1-KO mice, receptor activation of ERK is lost, and these mice show deficits in tolerance to the sedative and analgesic effects of THC (Rubino et al., 2004). Several other signaling pathways are also altered by chronic THC exposure, including c-FOS and delta-FosB expression and production of brain-derived neurotrophic factor (Fishbein et al., 2012). Chronic THC exposure has also been shown to alter AMPA and NMDA receptor expression and function in postsynaptic elements of neurons in the hippocampus, and these changes were accompanied by reduced long-term potentiation and impaired fear memory and spatial learning and memory (Chen et al., 2013). These findings indicate that neuroadaptations to prolonged THC exposure are not limited to the presynaptic site of CB1 actions but may have more general effects on synaptic function and plasticity. Upregulation of COX2, an enzyme involved in eCB degradation has also been observed following chronic THC exposure (Chen et al., 2013). Thus, prolonged receptor activation may impact subsequent eCB signaling.
Unfortunately, it is still unclear if any of the chronic THC-induced signaling changes take place in presynaptic terminals, as they have not been measured within terminals themselves. It is presumed that the decrease in CB1 radioligand binding and other evidence of decreased receptors following chronic THC reflects decreased expression on the membranes in axon terminals as the bulk of receptors reside on terminals. However, this is not fully established, and it is not clear which terminals exhibit decreased receptor numbers, except for the clear evidence from the Mikasova et al. (2008) and Dudok et al. (2015) studies discussed previously. Additional use of powerful subcellular imaging techniques will likely be needed to determine how CB1 and associated signaling molecules change in following THC exposure.
It should be noted that some studies did not detect changes in tissue CB1 receptor levels in following chronic THC exposure despite evidence of behavioral or physiological tolerance (Abood et al., 1993; Mato et al., 2005). In other studies very small changes in binding were observed in a brain region (the striatum in this case) in which functional tolerance was clear (Breivogel et al., 1999). Another phenomenon that cannot be explained simply by a decrease in cell surface CB1 receptors is cross-tolerance with the mu-opioid receptor. Chronic THC exposure results in loss of synaptic depression induced by a mu opiate receptor agonist (Hoffman et al., 2003). This cross-tolerance can also be observed following in vivo treatment with opioid drugs that reduce CB1 agonist-mediated synaptic depression in the dorsal striatum (Atwood et al., 2014). Thus, more general changes in presynaptic Gi/o signaling might be induced by chronic THC, perhaps involving the intracellular signaling mechanisms mentioned above.
While, we presume that the sleep-altering molecular mechanisms engaged during acute and chronic THC exposure take place in circuits controlling sleep and wake, this remains to be examined in many of the brain regions with important roles in these processes and should be an area of considerable further research.
It is becoming increasingly evident that endocannabinoids play a prominent role in sleep and sleep neurophysiology, and cannabinoid drugs alter these processes. There are clear overlaps between the brain eCB system and sleep-wake circuitry, and cannabinergic manipulations are capable of altering sleep on a large scale in terms of time spent in specific vigilance states, and fine-scale in terms of sleep architecture and spectral power of specific sleep-related brain rhythms. Given that a significant portion of the population suffers from poor sleep quality or sleep-related disorders (DSM-V; American Psychiatric Association, 2013), with an estimated 50–70 million individuals in the United States alone as of 2006 (Colten and Altevogt, 2006), understanding how eCBs are functioning under normal and pathological conditions can offer insight to these illnesses and potential treatments. Additionally, the current societal climate moving towards legalization of cannabis use for recreational purposes and the already prominent cannabis use for medical reasons, including treating sleep issues, make it increasingly pertinent to understand how phytocannabinoids interact with the eCB system to alter sleep and the therapeutic nature of these effects. We feel that continued clinical research and further back-translational efforts to model cannabinoid mediated sleep alterations, and the molecular mechanisms of cannabinoid actions in sleep-related neurons and circuits, will be fruitful in understanding how cannabinoids influence sleep, in addition to furthering our understanding the basic biology of sleep-wake states.
AK and DL contributed equally to writing this manuscript.
This work was supported by the Division of Intramural Clinical and Biological Research of the National Institute on Alcohol Abuse and Alcoholism (grant number ZIA AA000416), and the NIH Center on Compulsive Behaviors Fellowship awarded to AK.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Keywords: marijuana, cannabis, THC, CBD, CB1, AEA, 2-AG, polysomnography
Citation: Kesner AJ and Lovinger DM (2020) Cannabinoids, Endocannabinoids and Sleep. Front. Mol. Neurosci. 13:125. doi: 10.3389/fnmol.2020.00125
Received: 03 April 2020; Accepted: 22 June 2020;
Published: 22 July 2020.
Edited by:Zsolt Lenkei, Institut National de la Santé et de la Recherche Médicale (INSERM), France
Reviewed by:John J. Woodward, Medical University of South Carolina, United States
Christopher S. Colwell, University of California, Los Angeles, United States
Copyright © 2020 Kesner and Lovinger. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: David M. Lovinger, firstname.lastname@example.org