Abstract
It has been known for many years that genetic influences account for some of the individual differences in human sleep parameters, but the underlying molecular mechanisms remain unclear. With major advances of molecular biology and the recognition of heritable sleep behaviors in humans over the past 30 years, a number of genetic variants have been identified to be associated with human sleep timing, duration and quality, both in healthy individuals and under pathological conditions. Some of these variants were further validated and characterized in animal models, shedding light on the mechanism of how these variants likely alter sleep in humans, which may provide new insights for developing more effective treatments to improve human sleep.
Keywords: genetic variant, sleep phase, sleep homeostasis, sleep disorders, animal model
Sleep is a fundamental process of life, and sleep deprivation or restriction can have severe health consequences(Mukherjee et al., 2015). A widely accepted working hypothesis regarding the regulation of sleep posits that sleep is controlled by two processes, termed Process C and Process S(Borbely et al., 2016). Process C is driven by the circadian pacemaker and reflects changes in sleep propensity throughout the day. It restricts sleep to a certain time of the day. Process S, on the other hand, represents sleep debt, which accumulates during wakefulness and is discharged during sleep. It is reflected in the quantity (duration) and quality of sleep. Process C and Process S interact to regulate sleep, and defects in these processes can lead to sleep disorders(Cirelli, 2009; Borbely et al., 2016).
Studies conducted in the 1930s first reported a genetic influence on sleep by demonstrating a higher concordance of sleep parameters between monozygotic twins compared to dizygotic twins(Dauvilliers et al., 2005). In 1992, Medori et al identified a mutation in the prion protein that is believed to lead to fatal familial insomnia, and the PRNP gene encoding the prion protein is the first gene to be linked to human sleep disorder(Medori et al., 1992). Since then, mutations or variants in a number of genes have been linked to sleep. For some of these genetic variants, a causal relationship has been established with sleep, whereas for others, only correlations have been demonstrated. In this chapter, we will focus on the former and provide an overview of the variants identified to date, how their effects on sleep have been validated in animal models, and the molecular mechanisms responsible for these effects.
Advanced and Delayed Sleep Phase
Process C plays a major role in determining sleep time; thus, alterations in this process should lead to abnormal sleep time. This has indeed been observed in human individuals. The genetic basis for this phenomenon was first reported by Jones and colleagues, who found three “morning lark” family members with sleep onset and offset times that occurred 3–4 hours (h) earlier than those in normal subjects but in whom sleep duration did not differ from that of controls(Jones et al., 1999). This was accompanied by profound advances in other markers of circadian rhythms such as time of dim light melatonin onset and body temperature nadir. Moreover, the proband in the study by Jones et al. showed a shortened sleep/wake period and body temperature rhythms at least ~1 h shorter than those of normal individuals, indicating altered timing of the circadian clock. The trait is inherited in an autosomal dominant manner and referred to as familial advanced sleep phase (FASP). The affected individuals were later found to carry a serine to glycine mutation within the casein kinase I (CKI)-binding region of the core clock protein PERIOD2 (PER2)(Toh et al., 2001). This results in hypophosphorylation of PER2 by CKI in vitro(Toh et al., 2001; Xu et al., 2007). Moreover, Xu and colleagues generated transgenic mice carrying the FASP variant (hPER2-S662G) and found that these animals exhibit phase-advanced wheel-running rhythms under light-dark cycles and a close to 2 h shorter period in constant darkness (DD) relative to hPER2-WT transgenic controls(Xu et al., 2007). The faithful recapitulation of the FASP phenotype in the mouse model confirms that PER2-S662G is indeed the causative variant, making it the first human variant identified to affect circadian rhythms. As a S to G mutation eliminates phosphorylation that may occur at this residue, the authors further generated transgenic mice carrying the PER2-S662D mutation, which mimics a constitutively phosphorylated state. In contrast, these animals showed almost a 1 h longer period. Taken together, these results indicate that phosphorylation at the S662 site is critical for determining the sleep/wake period length. Consistently, a second variant, a missense mutation in the gene encoding CKIδ (CKIδ-T44A), was identified in another family with FASP(Xu et al., 2005). The mutant kinase demonstrates reduced activity in vitro, and transgenic mice carrying the mutated human gene show an ~0.5 h shorter period of wheel-running rhythm.
Almost serendipitously, the very first two FASP mutations identified are in fact directly connected at the molecular level. Xu and colleagues first characterized this in vitro by showing that phosphorylation at PER2-S662 promotes phosphorylation of an adjacent series of serine residues by CKI, possibly leading to modifications of PER2 function(Xu et al., 2007). Then they revealed genetic interaction between PER2 and CKIδ in vivo. Expressing hPER2-S662G alone shortens the circadian period of mice by 1.7 h, whereas expressing hCKIδ alone does not alter the period. However, when the two transgenes are co-expressed, the period is shortened by ~3 h, indicating that PER2-S662G and CKIδ act in synergy to determine period length. In contrast, expressing hPER2-S662D lengthens the period in mice by 0.8 h, while knocking out a copy of the endogenous CKIδ (CKIδ+/−) does not alter the period. When hPER2-S662D is expressed in CKIδ+/− animals, the period is lengthened by over 2 h, once again indicating a synergistic interaction. Based on these results, the authors proposed that CKIδ phosphorylates PER2, leading to alterations in PER2 function, which in turn affects the timing of the circadian clock.
Two additional genetic variants have been reported to be linked to FASP. In one family, a mutation in the core clock gene CRYPTOCHROME 2 (CRY2) was identified that results in an alanine to threonine replacement at amino acid residue 260 (A260T)(Hirano et al., 2016). Transgenic mice carrying hCRY2-A260T exhibit slightly advanced activity rhythm. While the behavioral period is not substantially altered in DD, the period of molecular oscillation is shortened by 1 h or more in peripheral tissues. The mutation leads to increased binding of CRY2 with FBXL3, an E3 ubiquitin ligase, which results in enhanced degradation of CRY2. In another family, FASP individuals carried two rare variants in the PER3 gene (PER3-P415A/H417R)(Zhang et al., 2016). These individuals also had high Beck Depression Index and Global Seasonality Scores, which means they quite likely had seasonal affective disorder (SAD). Interestingly, one individual exhibited ASP only in winter but not in summer. Transgenic mice carrying hPER3-P415A/H417R show an ~4 h phase delay of wheel-running rhythms under short days (4 h light: 20 h dark cycles) compared to hPER3-WT mice, but no difference is observed under regular days (12 h light: 12 h dark cycles). Circadian period is not significantly altered by the mutant transgene in DD, but under constant light, the period of hPER3-P415A/H417R is longer by ~0.7 h, consistent with a delayed phase. These observations indicate that the PER3 variants do alter the phase, and possibly the circadian clock, but why the direction of phase change in mice is opposite of that in human warrants further investigation.
Recently, a variation in CRY1 (c.1657+3A>C) was reported to be associated with delayed sleep phase disorder (DSPD)(Patke et al., 2017). This was first found in a family with 6 affected individuals and later validated in another 6 unrelated families with an additional 38 affected subjects. Free-running rhythms were measured for the proband, and the period is only slightly lengthened while the amplitude is dampened compared to that of a control subject. In mouse cells expressing variant CRY1, the period of molecular oscillation is longer by 0.5 h. The variant results in defective splicing and skipping of exon 11 (CRY1 Δ11). CRY1 Δ11 protein demonstrates enhanced binding with CLOCK/BMAL1 proteins and increased transcriptional inhibition.
As we review this series of findings, it is fair to say that only in the case of PER2-S662G mutation was an animal model able to beautifully recapitulate corresponding human phenotypes, including both advanced phase under LD and a prominently shorter period under free-running condition. None of the other FASP variants led to substantial phase advances in animal models that were comparable to those in human subjects. One explanation for this discrepancy is that the PER2 mutation may impinge on the timing mechanism of the core clock, which is highly conserved in model organisms and does not rely much on external factors. The other FASP variants, on the other hand, may affect the input pathway of light and/or other entrainment signals. Thus, the effects of these variants may depend on environmental factors that are masked or restricted by laboratory conditions and assessment methods. Evidence supporting this notion includes the observation that the DSPD individual does not exhibit a sizable period difference relative to unaffected controls, suggesting that the timing mechanism of the core clock in these individuals is relatively intact. Mechanistic differences between the circadian systems of humans and model organisms could also contribute to the lack of a prominent phase phenotype. Another possibility is that additional genetic variants are present in humans that influence circadian rhythms together with the identified variants, but these were not accounted for in animal models. All in all, genetic variants do appear to participate in regulating the timing of human sleep, although the underlying mechanisms require more in-depth research.
Sleep Quantity and Quality
Human sleep quantity and quality are measured by electroencephalography (EEG) (Cirelli, 2009). Based on EEG patterns, sleep can be divided into two types, non-rapid eye movement (NREM) sleep characterized by slow waves and rapid eye movement (REM) sleep characterized by fast activities of low voltage. The most studied electrical activity is delta activity, which is oscillation with a frequency of less than 4.5 Hz, also known as slow wave activity (SWA). SWA is believed to be a marker of sleep intensity and to reflect sleep need, or the actions of Process S. Greater SWA indicates a deeper sleep and a higher sleep need. Sleep quantity is assessed by measuring the duration of total sleep and its various phases, whereas measures of sleep quality include latency to sleep onset, number of brief awakenings after sleep onset and the amount of SWA.
A rare variant in the circadian clock gene DEC2 (DEC2-P384R) has been causatively linked to sleep quantity and quality(He et al., 2009). The variant was identified in a family, and carriers routinely sleep ~1.5 h less than non-carriers. hDEC2-P384R transgenic mice show increased wake and reduced NREM and REM sleep during the light phase, which is the rest phase. An increased number of NREM episodes and reduced duration of each episode are also observed in these animals during the light phase, indicating more fragmented sleep. To further investigate the effects of DEC2-P384R on sleep need, sleep deprivation was conducted and subsequent rebound sleep was monitored. hDEC2-P384R mice show reduced rebound for both NREM and REM sleep, and also for slow wave sleep, which suggests that the sleep need is lower in hDEC2-P384R animals. Taken together, these results demonstrate that the short sleep duration in these individuals is likely due to DEC2-P384R mutation. An independent study found another variant DEC2-Y362H, which is within the same exon as DEC2-P384R, to be associated with reduced sleep duration and increased resistance to sleep deprivation(Pellegrino et al., 2014). Both mutations affect the transcriptional repressor function of DEC2, resulting in reduced ability of mutant DEC2 to suppress CLOCK/BMAL1-driven transcriptional activation(He et al., 2009; Pellegrino et al., 2014). On the other hand, another mutation, DEC2-P384G, does not affect sleep or response to sleep loss and has no effect on CLOCK/BMAL1-mediated transactivation. The hypocretin (hcrt) mRNA level is significantly increased in hDEC2-P384R mice, and this gene encodes a precursor protein of a neuropeptide producing orexin and known to play a critical role in maintaining wakefulness(Hirano et al., 2018). Furthermore, treating these animals with an orexin receptor antagonist reverses the decrease in immobility time. These findings suggest that DEC2-P384R reduces sleep duration at least in part by modulating orexin.
A genome-wide association study (GWAS) in a European population revealed an intronic variant in the ABCC9 gene that can explain ~5% of the variation in sleep duration(Allebrandt et al., 2011). ABCC9 encodes an ATP-sensitive potassium channel subunit (SUR2), and pan-neuronal knockdown of its Drosophila homolog leads to a reduction in sleep during the first 3 h of the night in fruit flies. Transcriptome analysis of these fly heads showed down-regulation of Rho genes and up-regulation of epidermal growth factor receptor (EGFR) genes, which have established roles for sleep consolidation in Drosophila and are associated with human sleep duration(Allebrandt et al., 2017).
We have discussed the role of PER3 in the timing of sleep phase earlier in this review. Based on a number of studies that focused on a 54-nucleotide variable number tandem repeat (VNTR) polymorphism in exon 18 of the PER3 gene, PER3 is also believed to participate in the determination of sleep need. Individuals who are homozygous for the 5-repeat allele (PER35/5), which is the less frequent allele, exhibit shortened latency to fall asleep, increased time spent in SWS, and elevated SWA during NREM sleep compared to those homozygous for the 4-repeat allele (PER34/4)(Viola et al., 2007). Moreover, the decrease in cognitive performance during sleep deprivation is enhanced in PER35/5 individuals, and increased SWS and SWA are observed in the subsequent recovery sleep(Viola et al., 2007; Goel et al., 2009). Because this VNTR is primate specific, to establish a causal link between this polymorphism and sleep, Hasan and colleagues replaced exon 18 of mouse Per3 with human exon 18 coding for either 4 repeats or 5 repeats(Hasan et al., 2014). Per35/5 and Per34/4 mice do not show substantial differences in baseline sleep, but during recovery sleep after sleep deprivation, significant increases in SWS and delta activity are observed in Per35/5 animals, validating a role for PER3 in regulating sleep need.
A large-scale candidate gene sequencing project reported a single nucleotide polymorphism (SNP) within intron 1 of dopamine receptor D2 (DRD2) to be significantly associated with self-reported sleep duration and suggestively associated with sleep latency determined by EEG(Cade et al., 2016). Consistently, work in mice revealed that activation of dopamine neurons in the ventral tegmental area promotes wakefulness via D2-like receptors(Oishi et al., 2017). Furthermore, the dopamine system is known to play critical roles in regulating the quantity and quality of sleep in multiple organisms(Cirelli, 2009).
A functional variant at codon 8 of adenosine deaminase (ADA-D8N), which lowers enzyme activity by 20–30%, is associated with the duration of SWS and intensity of SWA(Retey et al., 2005). Heterozygous individuals display fewer nocturnal awakenings, accompanied by increased baseline SWS duration as well as enhanced intensity of delta activity both under baseline conditions and recovery sleep after sleep deprivation(Retey et al., 2005; Bachmann et al., 2012). In addition, several markers of sleepiness are enhanced in heterozygous subjects(Bachmann et al., 2012). Although ADA has not been shown to directly regulate sleep in animal models, a role for the adenosine system in regulating sleep duration and delta intensity has been well characterized(Porkka-Heiskanen et al., 1997; Huang et al., 2005). Taken together, the research findings indicate that reduced enzymatic activity of ADA-D8N may lead to increased adenosine levels, which promotes SWS and delta activity in humans.
A SNP at amino acid position 61 of fatty acid-binding protein 7 (FABP7-T61M) correlates with fragmented sleep in humans, although total sleep duration is not altered(Gerstner et al., 2017). Fabp7 knockout mice exhibit fragmented sleep that is most prominently observed during NREM sleep, while sleep duration is not altered. In addition, expression of FABP7-T61M in astrocyte-like glia fragments sleep in flies and reduces sleep duration in the day. These results indicate that FABP7 functions to maintain sleep state.
Research in model organisms has provided substantial insight into the molecular mechanisms of sleep regulation, which include genes involved in the circadian clock, neuronal excitability, neurotransmission and metabolism(Sehgal & Mignot, 2011). Consistently, genes that have been confirmed to be involved in modulating sleep in humans also fall into these categories, implying conservation in the molecular basis of sleep throughout evolution. What’s more, this demonstrates the power of using animal models such as mouse and Drosophila to understand the molecular mechanisms of sleep in human.
Sleep Disorders
As mentioned earlier in this review, the first genetic variant identified to be linked to sleep quantity is a point mutation at codon 178 of the PRNP gene that results in a substitution of aspartic acid with asparagine, in conjunction with the methionine polymorphism at codon 129(Goldfarb et al., 1992; Medori et al., 1992). Individuals carrying this allele develop untreatable, progressive insomnia characterized by marked reduction or loss of sleep. This is accompanied by impairments in the autonomic and motor systems, eventually leading to death. The underlying pathology of the disease is atrophy of the anterior ventral and mediodorsal thalamic nuclei, as well as some other regions of the brain, caused by mutant PrP protein that is protease resistant.
Restless legs syndrome (RLS) is a common sensorimotor disorder characterized by unpleasant sensations in the legs during periods of rest that create an irresistible urge to move the legs, leading to sleep disruptions(Allen et al., 2003). Two SNPs, one in intron 1 and one in intron 3 of nitric oxide synthase 1 (NOS1), are reported to be associated with RLS in the German population, and the SNP in intron 1 is overrepresented in patients with a positive family history of RLS in the Spanish population(Winkelmann et al., 2008; Jimenez-Jimenez et al., 2015). Consistently, a role for NOS1 in modulating sleep has been found in animal models. Activation of NOS1-expressing neurons in the mouse cerebral cortex positively correlates with markers of sleep need, including NREM sleep duration and intensity of delta activity(Morairty et al., 2013). Conversely, Nos1 knockout mice display reduced NREM sleep duration and delta activity under baseline condition. During recovery sleep following sleep deprivation, Nos1−/− mice also demonstrate decreased delta activity. However, these animals are believed to be sleepier as they fall asleep more readily and have more NREM sleep during short naps. It is proposed that NOS1 translates sleep need into an up-regulation of delta activity.
Two GWAS studies revealed significant associations between RLS and intronic variants in the BTB(POZ)-domain containing 9 (BTBD9) gene, particularly RLS with periodic limb movements during sleep(Stefansson et al., 2007; Winkelmann et al., 2007; Li et al., 2017). Moreover, one of these variants is associated with periodic limb movements in sleep without RLS and not associated with RLS without periodic limb movements(Stefansson et al., 2007). Iron deficiency has been implicated in RLS pathogenesis and serum ferritin levels were found to be decreased by ~13% per risk allele of this variant. Immunohistochemical analysis characterized BTBD9 as a cytoplasmic protein that is expressed in circuits regulating motor, memory and emotion both in human and rodents(Freeman et al., 2012). It belongs to a family of substrate adaptors for the cullin-3 (Cul-3) class of E3 ubiquitin ligases and colocalizes with Cul-3 in both a human cell line and neurons in the fly brain. Over-expression of BTBD9 in human cells leads to lowered ferritin levels, possibly by decreasing the level of iron regulatory protein-2, which is known to inhibit ferritin translation. Btbd9 knockout mice exhibit increased motor activities and wake duration as well as reduced SWS duration(DeAndrade et al., 2012). This is accompanied by enhanced sensory perception especially during the rest phase, which can be reversed by injection of ropinirole, a dopamine agonist widely used to treat RLS. Indeed, BTBD9 is expressed in dopaminergic neurons of the substantia nigra and hypothalamus in rats(Freeman et al., 2012). In addition, Btbd9 knockout mice demonstrate elevated serum iron concentrations, indicating disruption of iron metabolism(DeAndrade et al., 2012). Knocking out dBTBD9 or knocking down this gene pan-neuronally in flies leads to sleep fragmentation at night, characterized by increased sleep bout number, reduced sleep bout duration and increased wake after sleep onset(Freeman et al., 2012). Similar to human patients and the mouse BTBD9 model, dBTBD9 knockout flies also show enhanced locomotor activity levels, or so called motor “restlessness”. The dopamine level is decreased in these flies, and knockdown of dBTBD9 specifically in dopaminergic neurons is sufficient to fragment sleep in flies. Feeding dBTBD9 knockout flies with the dopamine agonist Pramipexole, which is used clinically to treat RLS, rescues the sleep fragmentation phenotype. Taken together, the results of these studies strongly suggest that BTBD9 is a genetic determinant of limb movements during sleep.
Narcolepsy is a neurologic disease characterized by involuntary and irresistible “sleep attacks” that can occur while talking, standing, walking, eating and driving(Veatch et al., 2017). This excessive sleepiness is typically associated with cataplexy (sudden bilateral skeletal muscle weakness), which is often provoked by strong emotion and lasts no longer than a few minutes. This sleep disorder also occurs in dogs, and a mutation in the hypocretin (orexin) receptor 2 gene (Hcrtr2) is believed to be the cause(Lin et al., 1999). Hypocretin (hcrt) knockout mice exhibit narcoleptic-like attacks during the active phase, accompanied by significantly reduced wake and increased REM sleep(Chemelli et al., 1999). Reduction in wake time is a result of shortened wake bout duration and more rapid cycling between sleep and wake, mimicking the sleep attacks in narcolepsy patients. Moreover, the anti-narcoleptic drug Modafinil activates orexin neurons. In human patients, however, there is little evidence that variants in HCRT or related genes contribute to narcolepsy(Veatch et al., 2017). Instead, narcolepsy with cataplexy is tightly associated with HLA class II allele DQB1*0602(Tafti et al., 2016). HLA genes encode major histocompatibility complex class II receptors, which are involved in the presentation of foreign peptides to T-cell receptors; therefore, it has been hypothesized that narcolepsy is caused by autoimmune attack of orexin neurons(Veatch et al., 2017). The DQB1*0602 allele confers an extraordinary risk for narcolepsy with cataplexy, while several other DQB1 alleles exert protective effects. Together this locus is believed to explain most of the risk and protection in narcolepsy with cataplexy(Tafti et al., 2014).
Some of the genetic alterations associated with sleep disorders appear to have pleiotropic effects, such as in the case of fatal familial insomnia, whereas other variants bring about physiological disturbances that are more specifically related to sleep. It is interesting that there is almost no overlap between genes associated with sleep disorders and those associated with sleep quantity/quality in the general population, which supposedly consists of individuals with no prominent medical conditions. This implies additional complexity in the factors that influence sleep under pathological states.
Future Directions
Significant advancement has been achieved in understanding the molecular mechanisms for sleep timing regulation, and this likely will lead to therapeutic intervention for body clock regulation in foreseeable future. On the other hand, the mechanism for sleep quality and quantity remains much less understood. Although many theories on sleep functions, such as synaptic regulation, toxin clearance, and energy regeneration, etc, have been proposed, their direct connection to human sleep awaits further validation(DiNuzzo & Nedergaard, 2017).
Human genetic studies in families and different populations have revealed a plentitude of variants associated with phase, quantity, and/or quality of sleep. However, only a small fraction of these variants have been demonstrated to cause alterations in sleep by animal models that recapitulate, at least in part, the human phenotypes when homologous genes are modified. Molecular genetics in these animal models have been quite powerful for unveiling the underlying mechanisms, and given the evolutionary conservation of sleep regulatory processes, findings in animal studies may be applicable to humans. With advances in sequencing technology, the identification of many more genetic variants associated with sleep traits is expected, and only when they are validated and functionally characterized will they be truly helpful in understanding the regulation of human sleep as well as the development of sleep disorders. The advent of the CRISPR/Cas9 system has tremendously facilitated procedures of genetic modification, and much less effort is required nowadays to generate an animal model for a human variant of interest. We are perhaps at the best of times for conducting molecular genetics research to investigate the mysteries of human sleep.
Acknowledgements
This work was supported by NIH grants NS072360 and NS104782 and by the William Bowes Neurogenetics Fund to Y-HF. and by grants from the Natural Science Foundation of China (31471125 and 31671360) and One Thousand Talents Program of China to LZ.
Abbreviations
- ADA
adenosine deaminase
- BTBD9
BTB(POZ)-domain containing 9
- CKI
casein kinase I
- CRY1
CRYPTOCHROME1
- CRY2
CRYPTOCHROME2
- Cul-3
cullin-3
- DD
constant darkness
- DRD2
dopamine receptor D2
- DSPD
delayed sleep phase disorder
- EEG
electroencephalography
- EGFR
epidermal growth factor receptor
- FABP7
fatty acid-binding protein 7
- FASP
familial advanced sleep phase
- GWAS
genome-wide association study
- hcrt
hypocretin
- Hcrtr2
hypocretin (orexin) receptor 2
- NOS1
nitric oxide synthase 1
- NREM sleep
non-rapid eye movement sleep
- PER2
PERIOD2
- PER3
PERIOD3
- REM sleep
rapid eye movement sleep
- RLS
restless legs syndrome
- SAD
seasonal affective disorder
- SNP
single nucleotide polymorphism
- SWA
slow wave activity
- SWS
slow wave sleep
- VNTR
variable number tandem repeat
Footnotes
The authors declare no conflict of interest.
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