Pflügers Archiv - European Journal of Physiology

, Volume 463, Issue 1, pp 121–137

Sleep and immune function

Open AccessInvited Review

DOI: 10.1007/s00424-011-1044-0

Cite this article as:
Besedovsky, L., Lange, T. & Born, J. Pflugers Arch - Eur J Physiol (2012) 463: 121. doi:10.1007/s00424-011-1044-0

Abstract

Sleep and the circadian system exert a strong regulatory influence on immune functions. Investigations of the normal sleep–wake cycle showed that immune parameters like numbers of undifferentiated naïve T cells and the production of pro-inflammatory cytokines exhibit peaks during early nocturnal sleep whereas circulating numbers of immune cells with immediate effector functions, like cytotoxic natural killer cells, as well as anti-inflammatory cytokine activity peak during daytime wakefulness. Although it is difficult to entirely dissect the influence of sleep from that of the circadian rhythm, comparisons of the effects of nocturnal sleep with those of 24-h periods of wakefulness suggest that sleep facilitates the extravasation of T cells and their possible redistribution to lymph nodes. Moreover, such studies revealed a selectively enhancing influence of sleep on cytokines promoting the interaction between antigen presenting cells and T helper cells, like interleukin-12. Sleep on the night after experimental vaccinations against hepatitis A produced a strong and persistent increase in the number of antigen-specific Th cells and antibody titres. Together these findings indicate a specific role of sleep in the formation of immunological memory. This role appears to be associated in particular with the stage of slow wave sleep and the accompanying pro-inflammatory endocrine milieu that is hallmarked by high growth hormone and prolactin levels and low cortisol and catecholamine concentrations.

Keywords

SleepCircadianImmuneCytokinesNeuroimmunologyInflammation

Introduction

Over the last 15 years, research following a systems approach of neuroimmunology has accumulated surprisingly strong evidence that sleep enhances immune defence, in agreement with the popular wisdom that ‘sleep helps healing’. Although the communication between sleep regulatory networks in the central nervous system and the cells and tissues of the immune system is basically bidirectional, in this review, we will focus on the role of sleep for proper functioning of the immune system. First, we will give a short overview of the signals which mediate the communication between the nervous and immune system and thus provide the basis for the influence of sleep on immune processes. Because normally sleep is embedded in the circadian sleep–wake rhythm, we will then review studies that examined immune changes associated with the sleep (or rest) phase of this rhythm, without attempting to isolate the effects of sleep per se from those of circadian rhythm. Thereafter, we will concentrate on studies that aimed at disentangling the immuno-supporting effects of sleep from those of the circadian system. Results from these studies, many of them comparing the effects of sleep during the normal rest phase with 24 h of continuous waking, support the view that sleep is particularly important for initiating effective adaptive immune responses that eventually produce long-lasting immunological memory. We will close with some remarks about the detrimental effects of prolonged sleep loss on immune functions showing the importance of proper sleep for general health.

Shared signals and key players

Neuroimmune interactions are based on specific anatomical and physiological conditions: (1) Neurons, glia cells and immune cells share intercellular signals like hormones, neurotransmitters and modulators, cytokines and chemokines, and they express respective receptors for these signals [4, 94]. (2) Some of these shared signals can cross the blood–brain barrier in both directions [18, 28]. (3) Immune cells traffic to all sites throughout the body, come in close contact to nerve endings and to the brain at the meningeal borders and in the cerebrospinal fluid and can even reach the brain parenchyma [98, 101]. (4) Primary lymphatic tissues (thymus and bone marrow) and secondary lymphatic tissues (spleen, lymph nodes, mucosa-associated lymphatic tissue) are innervated by sympathetic, peptidergic and partly also by sensory nerve fibres [89, 90]. (5) The endocrine and autonomous nervous systems regulate immune functions not only directly via hormones and neural innervation, but also indirectly via influences on blood flow, blood pressure, lymph flow [80, 90], the supply of substrates like glucose, fatty acids and oxygen [5, 44, 114] and on non-immune cells in the vicinity of lymphatic tissues like adipocytes surrounding the spleen and lymph nodes [62, 70]. Note that the conceptual borders between hormones, neurotransmitters, cytokines and chemokines are blurred. For example, norepinephrine is a hormone released from the adrenal glands and also a neurotransmitter in the central nervous system; leptin acts as a circulating hormone but also as a paracrine cytokine signal.

The cellular key players in the immune system are leukocytes (white blood cells) that can be differentiated according to their ontogenetic development (innate vs. adaptive), their hematopoietic lineage (myeloid vs. lymphoid), their site of maturation (thymus—T cells vs. bone marrow—B cells) and their site of primary action (e.g. in lymph nodes—naïve and central memory T cells vs. peripheral tissues—effector memory and effector T cells), their antigen specificity (unspecific—cells of myeloid origin, natural killer (NK) cells and plasmacytoid dendritic cells (pDC) vs. antigen-specific—T and B cells), their function (e.g. T helper (Th) cells, cytotoxic T lymphocytes (CTL), NK cells, regulatory T cells, antigen presenting cells (APC), memory cells) and their cytokine profile (e.g. Th1, Th2, Th17). Phenotyping is based on cell structure (size, shape of the nucleus, granularity), on surface markers that are numbered according to the cluster of differentiation (CD) and on the pattern of cytokines that are released spontaneously or upon stimulation in vivo or in vitro.

All these cells serve immune defence, i.e. the detection and elimination of molecules and cells that bear foreign antigens, altered self-antigens or—in a broader sense—that indicate cellular damage and therefore danger [47, 51]. Figure 1 illustrates the most important steps of an adaptive immune response to infection: Invading antigen is taken up by APC (macrophages, DC, B cells) that are attracted to the site of intrusion by ‘danger signals’, i.e. signals that are released locally due to tissue injury. APC then migrate to the draining lymph node via afferent lymphatics and present the antigen to Th cells with the respective T cell receptor to form the ‘immunological synapse’ [49]. Th cells become activated, proliferate and differentiate, e.g. into Th1 or Th2 cells, thereby producing a progeny of thousands of antigen-specific Th cells. They help B cells to become antibody producing plasma cells and leave the lymph node after several days to support macrophages and CTL in eliminating the pathogen. Some of the antigen-specific Th cells, CTL and B cells survive and represent the immunological memory which allows for a faster and more efficient immune response once the antigen is re-encountered. Balanced regulation is of utmost importance in this multi-step process—immune activation should be sufficient, but locally limited and should not lead to over-shooting systemic inflammation. This is achieved by tight safety measures such as the restriction of immune activation by major histocompatibility complexes, the need of co-stimulatory signals for an effective response and counter-regulatory signalling as established, for example, by the mutually inhibitory actions of pro- vs. anti-inflammatory and Th1 vs. Th2 signals, by regulatory T cells and during apoptosis (programmed cell death). A failure of these mechanisms can lead to immunodeficiency on the one hand or septic shock, allergy and autoimmunity on the other hand.
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Fig. 1

Concept: Sleep supports the initiation of an adaptive immune response. The invading antigen is taken up and processed by antigen presenting cells (APC) which present fragments of the antigen to T helper (Th) cells, with the two kinds of cells forming an ‘immunological synapse’. The concomitant release of interleukin (IL)-12 by APC induces a Th1 response that supports the function of antigen-specific cytotoxic T cells and initiates the production of antibodies by B cells. This response finally generates long-lasting immunological memory for the antigen. Sleep, in particular slow wave sleep (SWS), and the circadian system act in concert to generate a pro-inflammatory hormonal milieu with enhanced growth hormone and prolactin release as well as reduced levels of the anti-inflammatory stress hormone cortisol. The hormonal changes in turn support the early steps in the generation of an adaptive immune response in the lymph nodes. In analogy to neurobehavioural memory formed in the central nervous system, the different phases of immunological memory might be divided in an encoding, a consolidation and a recall phase. In both the central nervous system and the immune system, sleep specifically supports the consolidation stage of the respective memory types. Modified from Lange and Born [71]

Comparing the immune and the central nervous system (CNS), both systems share a basic feature, i.e. they both respond to external stimuli and generate memory in a multi-step process that involves cell to cell contacts (synapses) [66]. The different stages of memory operations in the CNS are usually divided into an encoding phase, a consolidation phase in which the information is transferred from a short-term to a long-term store (with both stores represented by different neuronal networks) and a recall phase. This division might in its basic features also hold true for the different stages of immunological memory: According to this proposition, the encoding phase would in the immunological context be represented by the uptake of the antigen (the information which is to be remembered) by APC. The consolidation phase, in which, in the CNS, the crucial information of the newly encoded memory is transferred from its temporary storage site to neuronal networks serving as long-term store, might be represented by the formation of the ‘immunological synapse’ between APC and T cell [38, 49], during which the antigenic information is forwarded from a short-term (APC) to a long-term (T cell) store. Finally, the recall phase would be represented by the facilitated response of the immune system upon re-encounter of the antigen (Fig. 1). It is clear that this is a pure conceptual view and that there are apparent differences between the two systems (cells of the immune system are migratory and act in special compartments and their proliferative capacity clearly outnumbers that of neurons). Nevertheless, the comparison with concepts of neurobehavioural memory formation which is well known to benefit from sleep [30] might also help in understanding how sleep regulates memory formation during adaptive immune responses. Since sleep specifically enhances the consolidation of neurobehavioural memories whereas encoding and recall usually take place during waking, the transfer of this concept to the immune system would implicate that it is also the consolidation phase of immunological memory formation (that is, the formation of the immunological synapse) which mostly benefits from sleep. Indeed, as outlined in the section ‘Sleep enhances the formation of immunological memory’, this effectively seems to be the case.

The sleep–wake cycle and immune function

Life is organised in rhythms. A multi-oscillatory system with cellular clocks in many, if not all cells of the organism which are synchronised by a hypothalamic pacemaker, the suprachiasmatic nuclei, regulates the circadian (∼24 h) rhythm of body functions and behaviour. The sleep–wake cycle can be regarded as the most prominent manifestation of the circadian rhythm. Sleep and the circadian system are tightly intertwined (see articles on clock genes and circadian rhythms in this special issue). In most cases, both act in concert to adapt the organism to the ever-changing demands of the solar day and to separate otherwise incompatible body functions in time. Thus, very robust changes are evident during the regular sleep–wake cycle not only with regard to physical and mental activity, cardiovascular function and temperature regulation, but also for immune parameters like leukocyte numbers, function, proliferation and cytokine production. Of note, most of these changes occur in synchrony with the sleep–wake cycle regardless of whether the active phase occurs during daytime, like in humans, or during nighttime like in rodents (with one exception, i.e. the release of melatonin). Accordingly, such diurnal changes occurring in immune parameters during the sleep–wake cycle can be categorised into two classes according to their peak times, i.e. rhythms exhibiting their maximum during the rest period and rhythms with a peak during the active period. Before we go into the specific contribution of sleep to immunity, here we discuss the changes in immune cell counts and function as they are normally associated with the regular sleep–wake cycle.

The early resting period represents a pro-inflammatory state

The nocturnal sleep period in humans is characterised by a profound down-regulation of the two stress systems, the hypothalamus–pituitary–adrenal (HPA) axis and the sympathetic nervous system (SNS), with a concomitant drop in blood levels of cortisol, epinephrine and norepinephrine. In contrast, mediators serving cell growth, differentiation and restoration like the pituitary growth hormone (GH) and prolactin and (in day-active humans) the pineal hormone melatonin show a steep increase in their blood levels during sleep [12, 58, 95]. In parallel, increases of leptin that is released by adipocytes are assumed to prevent sleep-disturbing feelings of hunger during this time [103]. Despite their very different cellular sources, GH, prolactin, melatonin and leptin exert remarkably synergistic actions on the immune system. They are pro-inflammatory signals that support immune cell activation, proliferation, differentiation and the production of pro-inflammatory cytokines like interleukin (IL)-1, IL-12, tumour necrosis factor (TNF)-α and of Th1 cytokines like interferon (IFN)-γ [7, 37, 41, 57, 58, 65, 70, 77, 93]. In contrast, cortisol and catecholamines generally suppress these immune functions in an anti-inflammatory manner [4, 39], although some specific aspects of immunity may be supported by these signals. Of course, when experimentally administered, the effects of these hormones essentially depend on dosage and timing, and here only acute actions of these hormones within physiological ranges are of relevance. On this background, numerous experiments have shown a consistent and intriguing pattern of endocrine and immune rhythms reflecting an ‘inflammatory peak’ during nocturnal sleep whereas wakefulness is associated with prevalent anti-inflammatory activity [74, 100, 113].

Peaks of pro-inflammatory and/or Th1 cytokines during the rest period have been observed, often during the early slow wave sleep (SWS)-dominated portion of sleep, in humans as well as in animals on the mRNA and protein level in different tissues including the brain [52, 69], adipose tissue [52] and lymph nodes [41], but also in serum/plasma [17, 52, 79, 113] and in unstimulated as well as stimulated peritoneal and splenic macrophages [59, 64] and peripheral blood cells (Bollinger et al., under revision) [8, 9, 13, 3133, 73]. Whereas the boost in stimulated cytokine production during the rest period can be explained by the above-mentioned shift towards increased release of hormones with pro-inflammatory actions [7, 39, 41, 57, 58, 65, 70, 93], the question arises why spontaneous cytokine release shows a parallel rhythm. What is it that triggers pro-inflammatory cytokine production throughout the body with the beginning of the rest period? A tentative explanation is that very different factors accumulate during the active wake period which can be collectively termed endogenous ‘danger signals’ like reactive oxygen species, nucleotides (e.g. adenosine triphosphate) and heat shock proteins (HSP) and are released as a result of very different forms of cellular stress like physical activity, metabolism, synaptic transmission and cell injury. The action of these endogenous danger signals resembles that of exogenous danger signals, i.e. classical immunological stimulants of microbial origin like lipopolysaccharide (LPS), muramyl peptides and other toll-like receptor ligands, in that they stimulate the production of pro-inflammatory cytokines by APC. Pro-inflammatory cytokines in turn exert a positive feedback acting themselves as danger signals and, thus, eventually support the initiation of adaptive immune responses [47].

In addition to the effects of hormones and danger signals, immune rhythms are regulated by intrinsic cellular clocks that have been demonstrated in peritoneal and splenic macrophages as well as peripheral Th cells and are capable of maintaining periodic changes in pro-inflammatory cytokine production for several days in vitro (Bollinger et al., under revision) [64]. Clock genes control up to 8% of the transcriptome in immune cells, amongst others, components involved in antigen presentation, phagocytosis and LPS, HSP and NFκB signalling (Bollinger et al., under revision) [10, 60, 65]. Accordingly, various other indices of immune function, like phagocytosis [59], activity of natural regulatory T cells as well as spontaneous and stimulated cell proliferation in peripheral blood, lymph nodes and spleen, have been revealed to display diurnal rhythms, also peaking during the rest period [8, 20, 41]. Interestingly, in the latter study, blood levels of GH and prolactin correlated positively with unstimulated IFN-γ production and with the stimulated mitogenic response in rat lymph nodes suggesting an active contribution of these pro-inflammatory hormones to the rhythm in immune function [41]. On the other hand, low sympathetic activity (as assessed by tyrosine hydroxylase activity) seemed to contribute to the high spontaneous T cell proliferation in lymph nodes [19, 20].

Taken together, neuroendocrine rhythms with the prevalent release of pro-inflammatory hormones and a suppression of anti-inflammatory hormones particularly during the early SWS-rich portion of the rest period in combination with an accumulation of endogenous and exogenous danger signals across the active wake period and the intrinsic clock gene activity synergistically impact immune and non-immune cells to boost immune activation during the rest period. This pro-inflammatory function of sleep can be beneficial. Thus, sleep after vaccination can enhance the subsequent adaptive immune response like an adjuvant (see below). On the other hand, the pro-inflammatory surge during sleep can also be detrimental as evidenced by peak mortality rates in mice when LPS is injected during the sleep period (83%) in comparison with injection during the active period (10%), a pattern that is similarly observed for mortality rates in septic patients [56, 100].

During the sleep phase, immune cells at early stages of differentiation peak in peripheral blood and lymph nodes

Immune cells migrate. New cells are constantly released from the bone marrow into the circulation. T and B cells circulate for up to years until they encounter their cognate antigen in secondary lymphatic tissues, whereas other cells, like macrophages, DC and neutrophils, extravasate to peripheral tissues already after a few hours or days. In humans, recirculating T cells, mainly naïve and central memory T cells, through a mechanism involving CD62L, leave the blood via high endothelial venules (HEV) to enter the lymph nodes and then return to the blood via efferent lymphatics and the thoracic duct [127]. In peripheral blood, these cells show a pronounced circadian rhythm with a peak during the early rest period. A closely comparable rhythm is observed for lymphocytes, T cells and Th cells in lymph nodes, indicating that there is a fast equilibrium between the blood and this lymphatic compartment [10, 34, 40]. In addition, there is evidence pointing to an accumulation of lymphocytes in lymph nodes during nocturnal sleep [29, 129].

In humans, rhythms of T cells in blood are coupled to the rhythm of cortisol such that the peak in cortisol in the beginning of the wake period precedes a decrease in blood T cell number by about 3 h. This coupling presumably reflects the cortisol-mediated redirection of T cells to the sheltering bone marrow during the active period via enhanced expression of CXCR4 [26, 34] (Fig. 2). In fact, the corresponding ligand in bone marrow, i.e. CXCL12, is likewise rhythmically produced with a parallel peak during the active period. However, this rhythm seems to be mainly governed by clock genes and the SNS [86]. CXCR4 is not only expressed on mature T cells at early stages of differentiation, but also by hematopoietic stem cells that—like naïve and central memory T cells—show the highest numbers in peripheral blood in the beginning of the rest period in animals and humans [78]. The decrease in HPA and cortisol activity during the rest period releases CXCR4+ T cells from the bone marrow, presumably to enable their subsequent distribution to other sites of action, for example to the lymph nodes where they can initiate adaptive immune responses. Low levels of cortisol could likewise facilitate the extravasation of T cells from the blood to lymph nodes, as glucocorticoids are known to impair lymphocyte migration across HEV presumably via effects on the endothelium [26]. However, discrepant findings in animal studies suggest the presence of species-specific differences in the regulation of immune cell rhythms in lymph nodes [50]. In addition to nadir glucocorticoid levels, other factors like high levels of GH and low SNS activity could contribute to the accumulation of lymphocytes in lymph nodes during early sleep [57, 90, 104, 117].
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Fig. 2

Combined impact of sleep, the circadian rhythm and associated release of cortisol and epinephrine on rhythms and redistribution of leukocyte subsets. Sleep compared with nocturnal wakefulness enhances the homing of naïve T helper (Th) cells to lymph nodes which leads to slightly reduced numbers of these cells circulating in blood during sleep. The mechanisms of this enhanced homing of cells during sleep are not understood. During daytime wakefulness, the circadian rise in cortisol induces an increase in CXCR4 expression on undifferentiated or less differentiated leukocytes, like naïve Th cells, which in turn enables the redistribution of these cells to the bone marrow. On the other hand, epinephrine controls the rhythm of highly differentiated leukocytes, like cytotoxic natural killer (NK) cells, acting as effector cells. During daytime wakefulness, the enhanced activation of β2-adrenoceptors by epinephrine attenuates CX3CR1/CD11a signalling, which leads to an enhanced mobilisation of theses cells from the marginal pool during daytime. Reduced epinephrine levels during sleep (compared to nocturnal wakefulness) allow the margination of these cells, which results in lower cell numbers in peripheral blood. Modified from Lange and Born [71]

Collectively, these findings provide strong evidence for the notion that processes of immune activation and proliferation involving pro-inflammatory signals, APC, naïve and central memory T cells in lymph nodes are timed to the resting period. The reason for this timing is not clear. However, inflammation, if present during waking, causes malaise, fatigue, immobility, pain and other aspects of sickness behaviour that are incompatible with the demands of mental and physical activity required for effectively coping with environmental challenges. Hence, confining it to sleep time seems reasonable [92]. In addition, immune activation, especially protein synthesis and cell proliferation, needs energy, and the endocrine changes during sleep allow for the allocation of energy-rich fuels like glucose from insulin-dependent tissues (e.g. muscle) to the immune system [58, 114]. Finally, inflammation leads to oxidative stress and cell injury that are efficiently counteracted by melatonin scavenging free radicals and by hematopoietic stem cells providing cellular supply. These may be just some reasons favouring the sleep period as suitable time for initiating adaptive immune responses and associated pro-inflammatory activity. Nevertheless, pathogen encounter takes place mainly during the active period. So, why should the immune system wait for several hours before being activated? In the next section, we will outline that the wake period is associated with a completely different type of immune defence that acutely wards off any challenges in peripheral tissues and spleen, before the aforementioned slower, long-term processes of adaptive immunity develop in the lymph nodes.

Cytotoxic effector functions prevail in the wake period

Already during the late portion of nocturnal sleep in humans, HPA activity increases in order to prepare the organism for daytime activity. Upon awakening, there is a further rise in the stress hormones, i.e. of adrenocortical cortisol, of epinephrine released from the adrenal medulla and of norepinephrine that is released from sympathetic nerve endings and spills over into the circulation [36, 128]. These stress hormones have a strong anti-inflammatory potential and presumably shut down the pro-inflammatory response evoked during nocturnal sleep [39, 73, 99]. Indeed also the major anti-inflammatory cytokine IL-10 is produced by stimulated monocytes in a similar periodic fashion, reaching peak levels in the morning hours of the wake period [73].

In addition to this counter-regulatory function of the stress systems, the SNS mobilises subsets of leukocytes with cytotoxic effector potential. In 1997, Suzuki et al. described a group of phylogenetically more primitive immune cells that have been termed ‘stress leukocytes’. These cells exhibit high expression of β-adrenoceptors and, in humans, increase in peripheral blood during daytime activity [116]. The cell group encompasses terminally differentiated CD45RA+ effector CTL, cytotoxic NK cells, NKT cells, NKT like cells and γδ T cells which are all highly differentiated cells with a long replicative history and short telomere length [16, 34, 35]. Their cytotoxicity derives from toxic substances like granzyme and perforin in preformed vesicles, on preformed IFN-γ and/or on the expression of apoptosis inducing Fas ligand, so that they are able to rapidly kill infected or transformed, cancerous cells [16]. Stress leukocytes reside within the marginal pool, i.e. they are attached to the endothelium of postcapillary venules via CX3CR1/CD11a signalling and are mobilised within seconds upon stimulation of their β2-adrenoceptors by epinephrine [3, 35] (Fig. 2). In contrast to lymphocytes at early stages of differentiation, stress leukocytes do not recirculate, have a shorter life span, need no co-stimulation (and accordingly lack the respective co-stimulatory receptors like CD27 and CD28) and show minor proliferative responses to mitogens or antigens, features that well explain their immediate effector potential and possibly also their reduced sensitivity towards slower acting hormones like glucocorticoids [16, 34].

Neutrophils, pro-inflammatory monocytes and DC are likewise stress leukocytes that are mobilised into the circulation by the SNS. However, available evidence points to an additional involvement of norepinephrine acting on α-adrenoceptors [35, 115, 125]. ‘Adrenergic leukocytosis’ is interpreted as an enhanced immunosurveillance in order to rapidly respond to injury and concurrent infectious challenge, as stress leukocytes display a high tissue migratory potential and are efficiently redistributed from the circulation to the site of action, e.g. to the skin, concomitant with a drop in their circulating numbers [16, 27]. Consistent with this, experimental short-term (2–3 h) restraint stress in comparison to a no-stress control facilitated the accumulation of macrophages in a surgically implanted sponge used as an experimental model of the early immune cell recruitment in the context of wounding [123]. The same type of stressor also enhanced the accumulation of effector T cells upon antigen re-challenge in the skin in an experimentally induced delayed type hypersensitivity reaction [124]. In addition, the adjuvant-like action of acute (restraint) stress during first-time antigen exposure seems to comprise a facilitated migration of macrophages and DC after antigen uptake to draining lymph nodes via afferent lymphatics, a process involving α-adrenoceptors and norepinephrine signalling [80, 99, 124]. Thus, acute stress indirectly supports T cell priming via DC rather than via direct effects on T cells, the number of which in draining lymph nodes is increased not until 24 h after stress [99, 124].

Interestingly, the ‘mature’ type of DC in lymph nodes that is capable of T cell activation loses α-adrenoceptor expression [80], and the remaining β-adrenoceptors are known to mediate suppressive effects of catecholamines on pro-inflammatory cytokine production [39, 99]. It is therefore tempting to speculate that at this time, i.e. several hours after stress and antigen encounter during the wake phase, the beneficial effects of pro-inflammatory sleep with low levels of endogenous catecholamines will kick in to support subsequent T cell activation by mature DC in lymph nodes.

Sleep impacts immune function

Methodological remarks

It is basically difficult to dissect the influence of sleep per se from that of the circadian rhythm and associated changes in behaviour. The marked sleep–wake rhythm which we referred to in the previous section is jointly controlled by both the circadian system and sleep, but also by confounding influences like body posture, physical activity, feeding and fasting, lighting and ambient temperature. Experimental procedures that optimally disentangle these influences are highly elaborate and require frequent blood sampling for at least 24 h under conditions of constant routine with bed rest, dim light, constant ambient temperature and periods of food intake and sleep either equally distributed across the 24 h (e.g. every 1.5 h) or scheduled to specific time intervals. Indeed, there are only a few studies in humans investigating the effects of sleep on immune functions that fulfilled some of the essential requirements of constant routine protocols, and most of these studies compared the effects of sleep during a regular sleep–wake cycle with those of a 24-h period of continuous wakefulness. Figure 2 summarises the effects of sleep on rhythms of cortisol, epinephrine, naïve Th cells and cytotoxic NK cells observed in these studies. They show that for given immune parameters in healthy humans, sleep can exert enhancing, suppressing or no effects depending on the time of the blood draw. For most parameters, the 24-h mean (mesor) remained unchanged between the conditions of regular sleep and 24-h wakefulness, suggesting a robust homeostatic control by circadian mechanisms that is not persistently challenged by a single night of sleep loss. Other studies employed partial sleep deprivation and sleep restriction protocols with very different time schedules (e.g. sleep from 11 p.m. to 3 a.m., from 1 a.m. to 5 a.m. or from 3 a.m. to 7 a.m.). However, these approaches revealed an even more complex picture of interactions between sleep and circadian effect.

Moreover, many studies combined partial or total sleep deprivation with only a single blood sampling once in the morning after the nocturnal intervention. However, because the effect of sleep vs. sleep deprivation clearly depends on the time of the assessment, a single blood draw usually does not provide any conclusive data. Frequent blood sampling is also required in light of the fact that hormones mediating the effects of sleep on immune parameters exert these effects with very different kinetics. For example, immune cell mobilising effects of catecholamines occur within minutes whereas the effects of cortisol on immune cell migration occur more gradual and take 2–3 h to develop [34].

Considering the profound changes in cell composition over 24 h, the basic question also arises whether changes in cell function (e.g. cytokine production, T cell proliferation, NK cell activity) or cell characteristics (e.g. changes in the expression of adhesion molecules) that are observed during a 24-h period indeed reflect respective alterations in single cells or are merely secondary to the fact that the proportion of relevant cell subsets circulating in blood changed. Therefore, a measurement of the immune parameter of interest on a per cell basis (e.g. by means of flow cytometry) is advantageous. Despite these methodological pitfalls, the available studies have accumulated quite consistent evidence that sleep indeed essentially contributes to the regulation of adaptive immunity.

Acute effects of regular sleep compared to 24 h of continuous wakefulness

Here we concentrate on studies in humans which compared the effects of a regular sleep–wake cycle, where sleep occurs during the rest period, with a condition of 24 h of continuous quiet wakefulness, and which applied repeated blood drawings. As outlined above, this approach appears to be most advantageous in order to disentangle the effects of sleep from those of the circadian system. The main outcomes from these studies are summarised in Table 1. The focus is on studies in humans, because unlike animals, humans voluntarily undergo experimental procedures like sleep deprivation which limits the confounding effects of stress. In fact, blood levels of cortisol and catecholamines during a nocturnal vigil in humans are typically only slightly elevated compared with the levels during nocturnal sleep, and these levels are far from those characterising stress [13, 31, 33, 72, 73, 75, 81]. Accordingly, considering that keeping a human awake for a single night (or less) does not represent a major stress, we prefer in this context not to speak of ‘sleep deprivation’ but rather of ‘continuous wakefulness’, where the stress levels during the night and during daytime are entirely comparable. Of course, longer periods of wakefulness do represent a condition of predominant stress, to which the organism responds in a manner very similar as to other stressors. However, such conditions are not suitable to investigate the functions of sleep, but rather allow for the investigation of the effects specific to a certain stressor. We will shortly discuss these effects of stress induced by prolonged sleep deprivation on immunity separately in the end of this chapter, as they nevertheless bear some further implications for the role of sleep in immunity.
Table 1

Effects of nocturnal sleep compared with 24-h wakefulness on immune parameters

Immune parameter

Effect of sleep

Reference

Cell counts

WBC, total monocytes, CD14dimCD16+ monocytes, total lymphocytesa, total NK cellsa, CD16+CD56dim NK cells, total B cells, total T cells, Th cellsa, CTLa, activated T cellsa, pDC

[13, 33]

Pre-mDC, total monocytes, CD14+CD16 monocytes, CD16CD56bright NK cells, nTreg

=

[8, 33]

Cytokine activity

IL-2 (stimulated whole blood), IFN-γ/IL-4 ratio (stimulated Th cells)a, IL-7 (unstimulated whole blood), TNF-α (stimulated monocytes), IL-12 (stimulated monocytes), IL-12 (stimulated pre-mDC)

[1, 13, 31, 33, 73, 74]

IL-10 (stimulated monocytes), IL-4 (stimulated Th cells)a, IFN-γ (stimulated CTL), TNF-α (stimulated CTL), TNF-α (stimulated whole blood)b, IL-1β (stimulated whole blood)b

[31, 73]

IL-15 (membrane-bound on monocytes, stimulated monocytes), IL-2 (stimulated Th cells), IL-6 (stimulated monocytes), IL-6 (unstimulated whole blood), IFN-α (stimulated whole blood), IFN-α (stimulated whole blood, divided by numbers of pDC)

=

[1, 8, 13, 3133]

Cytokine receptors

Soluble IL-6 receptor

[32]

Soluble IL-2 receptor, soluble TNF-α receptors, membrane-bound IL-6 receptor, soluble gp130

=

[31, 32, 54]

Other parameters

Th cell proliferation

[8]

nTreg activity

[8]

NK cell activity

[81]

Complement system

[95]

Response to vaccination

[72, 75]

For cytokine activity, the leukocyte subset analysed and whether cytokine activity was measured after stimulation of cells or not (unstimulated) is indicated in brackets

WBC white blood cells, NK cells natural killer cells, Th cells T helper cells, CTL cytotoxic T lymphocytes, pDC plasmacytoid dendritic cells, pre-mDC pre-myeloid dendritic cells, nTreg natural regulatory T cells, IL interleukin, TNF tumour necrosis factor, IFN interferon

aEffect reversed during late sleep or subsequent daytime

bNo change if related to the numbers of circulating monocytes

As outlined above, the numbers of immune cells in peripheral blood show a prominent sleep–wake rhythm over the 24-h period, with peaks and nadirs occurring at different times depending on the cell subset of interest. Generally, these rhythms are not abrogated under conditions of 24-h continuous wakefulness. Rather, sleep influences their amplitude and can shift their peak forward or backward in time. For most of the lymphocyte subsets studied, sleep, in comparison with continuous wakefulness, was shown to reduce cell counts in blood during the night whereas this decrease is compensated by increased cell numbers during subsequent daytime [13]. This is true for Th cells, CTL, activated T cells as well as NK cells. In contrast, B cell numbers did not show a compensating enhancement during the following day. In the same study [13], monocyte counts were also depressed during sleep compared with nocturnal wakefulness. However, a more recent study [33] showed that sleep reduced mainly the circulating number of rare CD14dimCD16+ monocytes, which compared with CD14+CD16 monocytes have a greater capability to invade tissues under noninflammed conditions [48]. CD14+CD16 monocyte counts remained unchanged during nocturnal wakefulness. Similarly, numbers of CD16+CD56dim NK cells, which are also termed cytotoxic NK cells and have immediate effector functions, were suppressed during sleep, while the small fraction of immuno-regulatory CD16CD56bright NK cells, which show low natural cytotoxicity [25], remained unaffected by sleep [33]. The latter study also identified two subsets of DC precursors to be differentially sensitive to the effects of sleep. The numbers of pDC, which produce large amounts of IFN-α in response to viral challenges and are capable of directly regulating T cell functions [76], were reduced during sleep, whereas cell counts of total pre-myeloid DC (pre-mDC), which are characterised mainly by IL-12 production, did not change although, as discussed below, sleep strongly enhanced the proportion of IL-12-producing pre-mDC [33]. Collectively, these findings show that sleep selectively modulates some leukocyte subsets but leaves unaffected others. Sleep specifically reducing certain subpopulations of monocytes, NK cells and DC precursors is consistent with the view of a coordinate control that is exerted by this brain state on immune functions. Importantly, the reductions in leukocyte numbers observed during regular sleep in no case should be used to infer a general suppression of immune functions. Rather, such decreases most likely represent a redistribution of the cells to different extravascular compartments or an enhanced margination to the endothelium of postcapillary venules. For example, naïve T cells which express high levels of CD62L, a receptor needed for homing to secondary lymphoid organs [126], appear to be redistributed to lymph nodes during sleep [74], whereas the reduction of cytotoxic NK cell numbers likely reflects a margination of these cells to the vessel walls due to a drop of epinephrine levels [35].

Whereas changes in cell counts measured in blood do not allow for unequivocal conclusions as to the physiological implications these changes may have, many studies aimed at directly assessing functional aspects of immune cells, such as cytokine production and cell proliferation. There is consistent evidence that sleep, in comparison with nocturnal wakefulness, favours the production of pro-inflammatory and Th1 cytokines. Thus, sleep strongly enhanced the production of IL-12 by pre-mDC which are precursor cells most closely related to mature APC [33] (Fig. 3a). IL-12 is a key cytokine for the induction of Th1-type adaptive immune responses. Production of IL-12 by monocytes was likewise increased by sleep, whereas production of the anti-inflammatory cytokine IL-10 by monocytes was concurrently reduced [73]. Moreover, during early sleep, the balance between Th1 and Th2 cytokines was revealed to be shifted towards a dominance of Th1 cytokine production as evidenced by an increased ratio in the IFN-γ/IL-4 production by Th cells. Interestingly, the shift is replaced by a reduced IFN-γ/IL-4 ratio, i.e. a predominance of Th2 cytokine production during late sleep [31]. This pattern suggests that the pro-inflammatory action of sleep concentrates during the early portion of nocturnal sleep when SWS is dominant and that counter-regulatory processes develop already during the late portion of sleep when rapid eye movement sleep prevails. The latter study [31] in addition revealed a reducing effect of sleep on IFN-γ as well as TNF-α production by CTL, suggesting that sleep does not non-specifically support production of pro-inflammatory cytokines in all cells. However, this reducing effect of sleep could also reflect that due to a sleep-associated drop in epinephrine levels cytokine-producing effector CTL marginate to the vessel walls (and are then no more available for blood sampling and flow cytometric cytokine assessment).
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Fig. 3

Sleep compared to nocturnal wakefulness selectively enhances the production of interleukin (IL)-12 by pre-myeloid dendritic cells (pre-mDC) which is important for the initiation of adaptive immune responses, whereas it does not influence the levels of interferon (IFN)-α that is released as an early response of the innate immune system upon viral infection. a The percentage of pre-mDC producing IL-12 measured after lipopolysaccharide stimulation of peripheral blood samples from healthy young men during a regular sleep–wake cycle (black circle) and during 24 h of continuous wakefulness (white circle). Analyses were performed by flow cytometry. b IFN-α production of plasmacytoid DC (pDC). Values indicate IFN-α concentrations measured by ELISA in whole blood samples after herpes simplex virus 1 stimulation, divided by the number of pDC. Means (±SEM) are shown. Shaded area indicates bed time. **p < .01, *p < .05 for pairwise comparison between conditions at single time points. Modified from Dimitrov et al. [33]

Another prominent pro-inflammatory cytokine is IL-6. Although overall findings regarding this cytokine remain conflicting, no consistent effects of sleep were found on the production of IL-6 by monocytes or absolute plasma concentrations [13, 32, 53], which at first glance may be surprising. However, IL-6 is mainly involved in regulating the early innate, rather than the adaptive, immune response to bacterial infection. Thus, the enhancing effects of sleep sparing this cytokine would be well in line with the view that sleep preferentially supports the production of cytokines that are directly involved in mounting adaptive immune responses in lymphoid organs. In consonance with this view, another study [33] likewise did not reveal any effect of sleep on absolute plasma levels or the herpes simplex virus 1-stimulated production of IFN-α, an important pro-inflammatory regulator of the innate response to viral infection (Fig. 3b). On the other hand, serum concentrations of IL-7, which supports T cell growth and the differentiation of memory T cells, was found to be distinctly enhanced during sleep, in particular during the late period of the night [1]. However, membrane-bound IL-15 sharing some of the functions of IL-7 remained uninfluenced in this study, again underlining that the effects of sleep on cytokine activity are highly selective.

Amongst the studies focussing on the effects of sleep on cytokine activity, there are some seemingly discrepant findings. However, these are probably due to differences in the assessment of cytokine activity. For example, IL-1β and TNF-α levels when measured after stimulation of whole blood samples are decreased by nocturnal sleep [13]. Yet, this effect completely vanishes when the changes in IL-1β and TNF-α activity are related to the number of monocytes producing these cytokines, as the number of these cells circulating in the blood are likewise reduced by sleep. Such observations underline the importance to measure immune cell functions, like the production of cytokines, in blood samples on a per cell basis. Indeed, identifying the percentage of monocytes producing TNF-α showed that sleep even enhanced the production of this cytokine [74], whereas the percentage of TNF-α producing CTL was decreased [31]. Differences in the procedure of cytokine measurement probably account also for some of the conflicting data concerning IL-2, which critically supports the development, proliferation and differentiation of T cells. Whereas IL-2 activity was found to be enhanced by sleep when the cytokine was determined after mitogen stimulation of whole blood samples (for example [13]), this finding was not replicated by others determining IL-2 production specifically for Th cells [8, 31]. The use of whole blood vs. isolated cells, assessment of stimulated vs. unstimulated cytokine production, relation to the numbers of cytokine-producing cells vs. absolute cytokine levels, the type of antigen used for stimulation and even the use of different anticoagulants [95] can be all factors producing discrepant results. Nevertheless, despite the variety in the procedures used for assessing cytokine activity, the overall picture arising from these studies speaks for an enhancing influence of sleep preferentially on pro-inflammatory cytokine production specifically by immune cells contributing to the development of adaptive immune responses.

Analyses of receptors mediating cytokine effects provide further information as to the role of sleep in the regulation of immune function, although so far only a few studies examined cytokine receptors in this context. Membrane-bound and soluble forms of cytokine receptors exist which can mediate quite different type of action even of the same cytokine. Compared with continuous wakefulness, sleep strongly enhanced the concentrations of the soluble IL-6 receptor, whereas the membrane-bound IL-6 receptor remained uninfluenced [32]. It was concluded that sleep serves to enhance IL-6 trans-signalling, that is, effects on cells which do not express IL-6 receptors on their membrane but are able to receive IL-6 signals through the involvement of the soluble form of the receptor acting in concert with membrane-bound gp130 [61]. Whereas the expression of membrane-bound IL-6 receptors mainly concentrates on various immune cell populations, by trans-signalling via its soluble receptor, IL-6 affects a great variety of other cells and systems including the brain. Generally, by enhancing trans-signalling, sleep widens the profile of IL-6 actions enabling a more integrated action of the cytokine on the brain and peripheral organ systems. Of relevance here, in this way, sleep is expected to increase a feedback control the cytokine exerts over brain structures promoting sleep and particularly SWS [2, 106]. Other studies explored the effects of sleep on soluble forms of TNF-α and IL-2 receptors [31, 54]. However, concentrations of both receptors were not found to be altered by nocturnal sleep.

The effects of sleep were examined also on other functional aspects of immunity, besides cytokine activity. Thus, Matsumoto et al. [81] investigated sleep effects on NK cell activity in a standard assay of subcultured target cells. NK cell activity was transiently reduced during sleep as compared to nocturnal wakefulness, although the method employed did not allow to discriminate whether this decrease was merely a consequence of reduced numbers of NK cells in the blood, which were not assessed in this study, but were shown to be reduced during sleep by others [13]. A recent study of the components of the complement system showed that sleep increases activation of the complement system as reflected by enhanced plasma levels of the anaphylotoxin C3a [95]. Given that anaphylotoxins like C3a not only exert pro-inflammatory actions but also contribute to APC regulation, for example by supporting the production of IL-12, this finding well agrees with the view of a promoting influence of sleep on APC–T cell interactions. The influence of regular sleep on the activity of natural regulatory CD4+CD25+ T cells (nTreg) was assessed measuring the suppressing influence of these cells on the proliferation of CD4+CD25 T cells [8]. The main function of nTreg is to dampen excessive immune responses. Whereas the number of circulating nTreg was not influenced by sleep, their activity turned out to be strongly reliant on normal nocturnal sleep, with virtually no suppressive activity in the condition of nocturnal wakefulness. Interestingly, the proliferation of CD4+CD25 T cells was likewise enhanced by sleep, leading the authors to conclude that sleep might be essential for a balanced homeostatic regulation of the immune system. Indeed, the prevalent pro-inflammatory activity accompanying early SWS-rich sleep might be kept in check by sleep concurrently promoting activity of nTreg cells.

In sum, research during the past years has accumulated evidence that sleep affects a wide variety of immune functions, including the numbers of specific leukocyte subsets in circulating blood, the cell-specific production of cytokines and further immune cell functions. The effect of sleep is selective influencing some components of the immune system but not others. Sleep appears to preferentially promote the pro-inflammatory cytokine production important for the mounting of adaptive immune responses, and this action might primarily affect less differentiated immune cells, although the cell subset-specific production of cytokines needs to be further explored in this context. The pro-inflammatory actions of sleep mainly originate from the early SWS-rich part of nocturnal sleep. However, excessive pro-inflammatory activity becomes counter-regulated in the course of sleep as indicated, for example, by the concurrent upregulation of nTreg activity and a predominance of Th2 activity during late sleep. The enhancement of IL-12 production by important precursors of APC, together with a shift towards Th1 cytokines and a reduction of blood lymphocyte counts possibly reflecting a redistribution of these cells to secondary lymphoid organs, point to a supportive role of sleep in the initiation of an adaptive immune response, eventually leading to immunological memory.

Sleep enhances the formation of immunological memory

How does sleep affect immunity during a genuinely ongoing immune response? There are quite a few studies that investigated the effects of sleep on the response to vaccinations used as an experimental model of infection. Intriguingly, these studies consistently demonstrate that sleep enhances the adaptive immune response against the invading antigen. Compared with subjects who stayed awake during the night after a single vaccination against hepatitis A in the morning before, subjects who regularly slept on this first night after vaccination, 4 weeks later, displayed a twofold increase in antigen-specific antibody titres [72]. This study was the first to show in humans that a single night of normal sleep after vaccination strengthens the evolvement of a natural immune response against an invading antigen, to a clinically relevant extent. Subsequent experiments confirmed these effects for repeated inoculations with both hepatitis A and B antigens and showed that the immune-boosting effect of nocturnal sleep was also reflected by a doubling of the number of circulating antigen-specific Th cells that drive the production of hepatitis A and B-specific antibodies [75] (Fig. 4a). The proportion of pro-inflammatory and Th1 cytokine (IL-2, IFN-γ, TNF-α) producing T cells was also profoundly reinforced by sleep. Importantly, these immuno-enhancing effects of sleep were still present at a 1-year follow-up, indicating that sleep in enhancing the initial formation of an adaptive immune response also supports the long-term maintenance of the antigenic memory, a function hallmarking the immune system.
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Fig. 4

Sleep enhances the hepatitis A virus (HAV)-specific T helper (Th) cell response to vaccination which is strongly predicted by EEG slow wave activity during slow wave sleep (SWS) and associated release of immune regulatory hormones during early SWS-rich sleep. a Emergence of CD40L+ HAV-specific Th cells (percentage of total Th cells) after HAV vaccination (three shots at weeks 0, 8 and 16—vertical syringes) in two groups of subjects who either slept (black circle, thick line) or stayed awake (white circle, thin line) in the night following inoculations. y-axis log transformed. Means ± SEM are indicated. n = 12–27 for both groups. **p < 0.01, *p < 0.05, (*)p < 0.1 for comparisons between sleep and wake conditions. b Scatter plots of the correlations between slow wave activity (averaged across the three post-inoculation nights) and the frequency of CD40L+ HAV-specific Th cells (percentage of total Th cells) at weeks 18–20 (left panel) and week 52 (right panel). c Correlation coefficients between average GH, prolactin and cortisol concentrations during the early, SWS-rich part (0:30–2:00 a.m.) of post-inoculation nights and frequency of HAV-specific Th cells at weeks 8, 12, 16, 18 and 20 and 1 year after HAV vaccination. (Analyses performed across sleep and wake groups.) Note the most robust correlations for an ‘Adjuvant Factor’ describing the synergistic action of the three hormones of interest by the formula GH × prolactin/cortisol. ***p < 0.001, **p < 0.01, *p < 0.05. Modified from Lange et al. [75]

The results of these vaccination experiments in healthy humans basically concur with the findings of early experiments in animals demonstrating the deleterious effect of sleep deprivation on the immune response to experimental viral infection [14]. Mice immunised with influenza virus failed to effectively clear the virus in response to a second challenge if they were sleep-deprived for 7 h immediately after the second challenge. However, others failed to replicate this finding or even found supportive effects of sleep deprivation [96, 97, 118]. These discrepant results might be related to the fact that so far all studies in animals investigated the effects of sleep on a secondary immune response, i.e. the recall of an antigenic memory formed at a previous primary response. This feature also prevents a direct comparison with the studies in healthy humans, discussed above, that concentrated on the effects of sleep on the primary response to infection, mediating the first-time formation of the antigenic memory.

Altogether, the effects as described in the previous sections can be integrated in a model (as summarised in Fig. 1) attributing a main role of sleep to the formation and maintenance of immunological memory. After foreign antigenic particles invade into the organism, professional APC residing in the tissue incorporate the antigen and process it while they migrate to secondary lymphoid organs. Here, these cells present fragments of the antigen to naïve T cells, which are only activated if they express the specific receptor for the presented antigen. The release of IL-12 by the APC is essential for the activation of Th cells and their subsequent differentiation into Th1 cells. Sleep probably essentially strengthens this interaction between APC and T cells (forming the ‘immunological synapse’) by enhancing the production of IL-12 by APC, as sleep in fact was shown to enhance IL-12 production in the most important precursors of mature professional APC that circulate in blood, i.e. monocytes and pre-mDC [33, 73]. Mature APC themselves do not circulate which hampers the direct assessment of their cytokine production during sleep. The adjuvant-like effect of sleep on the formation of adaptive T cell responses might be additionally strengthened by IL-2 which, acting in a feed-forward manner, is a signal most important for T cell growth, proliferation and differentiation. Sleep can produce a distinct increase in the production of IL-2 [13, 60]. The sleep-induced promotion of Th cell proliferation [8] and the shift of the Th1/Th2 balance towards Th1 cytokines during early SWS-rich sleep [31] likely represent further components of the immuno-enhancing influence of sleep after vaccination. Effects similar in direction are expected by increases in C3a produced by sleep [95], which exerts supportive influences on APC–T cell interactions, the production of IL-12 and the differentiation of Th cells towards a type 1 phenotype [112]. The view of a specific role of sleep in supporting APC–T cell interactions in lymphatic tissues is also consistent with the acute reduction in blood T cell numbers during sleep [13, 75] that likely reflects the enhanced migration of naïve and central memory T cells to lymph nodes, thereby promoting the encounter of these cells with professional APC. Finally, the enhancing effect of sleep on concentrations of IL-7 improving the survival of the T cell memory pool [1] could contribute to the persistence of the effects of sleep on the response to vaccination, and thus to the maintenance of the antigenic memory.

GH and prolactin were identified as important endocrine factors mediating the effects of sleep on the response to vaccination [75]. Release of these hormones is distinctly enhanced during sleep, especially during periods of SWS [107, 119], whereas secretory activity of the HPA axis is suppressed during early SWS [6, 12]. The sleep-induced release of GH and prolactin during the early night after vaccination together with the simultaneously reduced cortisol levels during this period was revealed to be highly correlated to the frequency of antigen-specific Th cells after vaccination [75] (Fig. 4c). GH and prolactin are well-known to enhance the proliferation and differentiation of T cells as well as to promote type 1 cytokine activity [22, 23, 46, 85]. Also, both hormones act as adjuvants when given shortly after vaccination [105, 111]. Given that GH and prolactin are mainly released during SWS, this sleep stage seems to represent the major origin of the boosting effects of sleep on immune defence. In fact, the percentage of antigen-specific Th cells measured 1 year after vaccination against hepatitis A was highly correlated, with coefficients of r > 0.9 with EEG slow wave activity, i.e. an indicator of the depth of SWS, measured on nights after vaccination [75] (Fig. 4b). These findings converge to the view that SWS prevalent during early nocturnal sleep induces an endocrine milieu which strongly supports the initiation of an adaptive immune response, laying the foundation for long-lasting immunological memory. It is worth mentioning here that sleep and particularly SWS have been likewise identified as the most important factors that support the formation of long-term memories in the neurobehavioural system [30], i.e. an entirely different domain. With this in mind, it is tempting to propose that the formation of long-term memories, as the basis for the organism’s strategic adaptation to different kinds of environmental stressors (i.e. behavioural, immunological), represents a general function of sleep.

Effects of prolonged sleep curtailment

Unlike short periods of sleep deprivation for a single night or less, prolonged periods of sleep loss or sleep restriction for several days represent a condition of profound stress that can be used to analyse the detrimental changes in health and immune function that occur under conditions of chronic sleep curtailment, a condition prevalent also in modern society [11]. Different experimental designs were used to investigate the effects of prolonged sleep deprivation, with total sleep deprivation or restricted sleep for intervals between 4 and 10 days. The majority of these studies show that prolonged sleep curtailment leads to a general enhancement of markers for inflammatory activity. For example, Shearer et al. [102] reported that 4 days of continuous wakefulness result in an increase in plasma concentrations of IL-6 and the soluble TNF-α receptor 1, which is released at high levels of its ligand TNF-α. Plasma concentrations of IL-6, but not of soluble TNF-α receptor 1, were also enhanced after 10 days of sleep restriction to 4 h per day [55]. Eighty-eight hours of sleep deprivation or 10 days of sleep restriction to 4 h per night enhanced the concentration of C-reactive protein, an important clinical biomarker of inflammation [84]. Interestingly, even a relatively mild restriction of sleep from 8 to 6 h for 8 days effectively heightened the level of pro-inflammatory cytokines [122].

Further evidence that prolonged sleep loss is accompanied by enhanced pro-inflammatory activity comes from studies investigating normal ageing and from clinical investigations of patients with chronic sleep disturbances [45, 91, 120]. However, these studies are correlative in nature and thus do not allow for inferences regarding cause–effect relationships. Studies that examined changes in sleep after administration of pro-inflammatory cytokines did not help to clarify this issue, as they did not reveal any uniform effects of these cytokines on sleep, with some cytokines, like IL-1 and TNF-α, promoting sleep and SWS, whereas for others, like IL-6, a sleep-disturbing influence cannot be excluded [15, 21, 63, 67, 68, 121].

It is presently unclear in which aspects the increase in pro-inflammatory activity produced by prolonged sleep curtailment differs from that induced during healthy SWS. Some findings, discussed above, suggest that the conditions during SWS specifically support cytokine production required for forming adaptive immune responses whereas enhanced pro-inflammatory activity after prolonged sleep loss might be primarily unspecific, related mainly to cells mediating innate immune responses. Also, the enhanced pro-inflammatory activity emerging with prolonged sleep deprivation does not appear to be effectively counter-regulated by anti-inflammatory agents, as observed in the course of sleep. In fact, increases in the anti-inflammatory hormone cortisol that develop after prolonged sleep loss are surprisingly small and transient [108, 110].

Although the enhancement of pro-inflammatory markers accompanying prolonged sleep curtailment is generally small, its persistent nature has nonetheless important clinical implications. This so-called low-grade systemic inflammation is associated with a wide variety of serious medical conditions, including type 2 diabetes and cardiovascular disease. Moreover, the increases in inflammatory markers after prolonged sleep loss are usually in the same range as that observed in individuals at risk for developing cardiovascular disease in the future [87, 88].

Chronic sleep loss is not only associated with an increase in inflammatory markers but also with immunodeficiency. The immune response to vaccination against influenza virus was diminished after 6 days of restricted sleep [109]. There is also evidence for an enhanced susceptibility to the common cold with poor sleep efficiency [24]. Similar signs of an impaired immune defence were revealed in studies in rats subjected to excessive sleep deprivation. Although prolonged sleep withdrawal resulted in an enhanced pro-inflammatory state and a general immune activation, the activated immune system was not able to successfully combat invading bacteria and toxins, and rats eventually died from bacteraemia [42, 43].

In summary, chronic sleep deprivation can be seen as an unspecific state of chronic stress, which per se impacts immune functions and general health [27, 82, 83]. The adverse effects of chronic sleep deprivation comprise an enhanced risk for various diseases as a consequence of a persistent low-grade systemic inflammation on the one hand, as well as a manifest immunodeficiency characterised by an enhanced susceptibility to infections and a reduced immune response to vaccination on the other hand.

Summary and concluding remarks

Sleep and the circadian system are strong regulators of immunological processes. The basis of this influence is a bidirectional communication between the central nervous and immune system which is mediated by shared signals (neurotransmitters, hormones and cytokines) and direct innervations of the immune system by the autonomic nervous system. Many immune functions display prominent rhythms in synchrony with the regular 24-h sleep–wake cycle, reflecting the synergistic actions of sleep and the circadian system on these parameters. Differentiated immune cells with immediate effector functions, like cytotoxic NK cells and terminally differentiated CTL, peak during the wake period thus allowing an efficient and fast combat of intruding antigens and reparation of tissue damage, which are more likely to occur during the active phase of the organism. In contrast, undifferentiated or less differentiated cells like naïve and central memory T cells peak during the night, when the more slowly evolving adaptive immune response is initiated. Nocturnal sleep, and especially SWS prevalent during the early night, promotes the release of GH and prolactin, while anti-inflammatory actions of cortisol and catecholamines are at the lowest levels. The endocrine milieu during early sleep critically supports (1) the interaction between APC and T cells, as evidenced by an enhanced production of IL-12, (2) a shift of the Th1/Th2 cytokine balance towards Th1 cytokines and (3) an increase in Th cell proliferation and (4) probably also facilitates the migration of naïve T cells to lymph nodes. Thereby, the endocrine milieu during early sleep likely promotes the initiation of Th1 immune responses that eventually supports the formation of long-lasting immunological memories. Prolonged sleep curtailment and the accompanying stress response invoke a persistent unspecific production of pro-inflammatory cytokines, best described as chronic low-grade inflammation, and also produce immunodeficiency, which both have detrimental effects on health.

Acknowledgement

This work was supported by a grant from the Deutsche Forschungsgemeinschaft (SFB 654—Plasticity and Sleep).

Conflict of interest

The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. 1.Department of Medical Psychology and Behavioral NeurobiologyUniversity of TübingenTübingenGermany
  2. 2.Department of NeuroendocrinologyUniversity of LübeckLübeckGermany