Abstract
Ageing is characterized by the progressive impairment of physiological functions and increased risk of developing debilitating disorders, including chronic inflammation and neurodegenerative diseases. These disorders have common molecular mechanisms that can be targeted therapeutically. In the wake of the approval of the first cannabinoid-based drug for the symptomatic treatment of multiple sclerosis, we examine how endocannabinoid (eCB) signalling controls — and is affected by — normal ageing and neuroinflammatory and neurodegenerative disorders. We propose a conceptual framework linking eCB signalling to the control of the cellular and molecular hallmarks of these processes, and categorize the key components of endocannabinoid signalling that may serve as targets for novel therapeutics.
After millennia of anecdotal use (both medicinal and recreational) of Cannabis plants, as described in Chinese, Indian and Arab pharmacopeias1, centuries of their documented medicinal use throughout the world, and nearly five decades of research on the mechanism of action of their bioactive constituents (the phytocannabinoids), the medical use of cannabis extracts was approved in June 2010 by ten European countries2. This first Cannabis-based medicine (known as nabiximols in the United States and marketed as Sativex (GW Pharmaceuticals) in more than 25 countries worldwide) was prepared by combining botanical extracts from two varieties of Cannabis sativa plants, one producing mainly Δ9-tetrahydrocannabinol (THC; the major psychotropic component in the flowers) and the other producing mainly cannabidiol (CBD; an abundant non-psychotropic phytocannabinoid), with a ratio of approximately 1:1. Thus, despite the medicinal uses of THC for the treatment of emesis and cachexia in patients with cancer undergoing chemotherapy, and for promoting appetite in patients with AIDS1,3, cannabis extracts were finally given bona fide therapeutic status after a decade of clinical trials dedicated to the testing of a combination of THC and CBD on the neurodegenerative disease multiple sclerosis.
A wealth of results obtained from animal models and human studies over the past two decades greatly increased our understanding of the molecular mechanism by which THC, its endogenous ‘counterparts’ (the endocannabinoids, eCBs) and its synthetic analogues, modulate cannabinoids receptors. These studies also provided scientific support for targeting the eCB signalling system to treat several devastating diseases, including neurodegenerative and chronic inflammatory diseases. This Review focuses on recent evidence that has added a new layer of complexity to the idea of targeting the eCB signalling system for therapeutic benefit, as it is now clear that the expression level of the different molecular components forming this signalling system (the receptors and enzymes producing and inactivating eCBs) change substantially both in the brain and peripheral tissues as a function of ageing. This suggests that the bioactivity of eCB-based therapeutics is likely to vary depending on the age of the patient, the disease type and the stage of disease at the time of treatment4,5. Accordingly, such treatments may have to be tailored for different subsets of patients.
The endocannabinoid system
The first guanine-nucleotide-binding protein (G protein)-coupled receptor (GPCR) activated by THC, cannabinoid receptor 1 (CB1; encoded by gene CNR1), was discovered in the brain in 1988 (REF. 6) and cloned in 1990, (REF. 7) and the second GPCR, CB2, was identified in immune cells in 1993 (REF. 8). More than 70 phytocannabinoids are present in Cannabis plants (in varying amounts depending on strain or growing conditions), but only THC potently activates CB1 and CB2. The existence of these two receptors, of which one (CB1) is the most abundant GPCR in the brain, could only be explained by the presence of endogenous ligands; the eCBs. These were discovered in the early nineties, shortly after the discoveries of CB1 and CB2, as derivatives of the non-oxidative metabolism of the polyunsaturated fatty acid, arachidonic acid. N-arachidonoyl-ethanolamine (anandamide)9 and 2-arachidonoyl-glycerol (2-AG)10,11 are the two best-studied eCBs so far, and together with enzymes involved in their biosynthesis and inactivation12, and the two cannabinoid receptors, they form the ‘eCB system’. CB1 receptors are most abundant in brain regions such as the hippocampus, cortex, basal ganglia and cerebellum, and expressed in both excitatory (glutamatergic) and inhibitory (GABAergic) presynaptic terminals, although their postsynaptic localization has also been observed13,14. In the healthy brain, CB2 receptors are barely detectable, although they seem to be present in some neuronal populations13. However, CB2 receptor expression can increase in both microglia and astrocytes under specific conditions of neuroinflammation (see below)13. Both CB1 and CB2 receptors couple to G protein type Gi/o, and less frequently to the Gq/11 type. It is through this coupling that they activate mitogen-activated protein kinases (MAPK) such as extracellular signal-regulated kinase 1 (ERK1), ERK2, p38 MAPKs and JUN N-terminal kinases (JNKs), and inhibit adenylate cyclase and cyclic AMP–protein kinase A (PKA) signalling. Activation of CB1 receptors also inhibits L-, N- and P/Q-type voltage-activated Ca2+ channels and stimulates inwardly rectifying K+ channels, the result of which is to reduce neurotransmitter release15.
Anandamide is a high-affinity, low-efficacy CB1 agonist, with even lower efficacy at CB2 receptors, whereas 2-AG has lower affinity, but is a fully effective agonist at both CB1 and CB2 (REF. 16). The eCBs are produced from phospholipid precursors when intracellular Ca2+ is elevated, following either neuron depolarization or activation of metabotropic Gq/11-coupled receptors. Anandamide, like other N-acylethanolamines (NAEs), is produced from the hydrolysis of the corresponding N-acylphosphatidylethanolamine (NAPE)17. This can occur in one step, when catalysed by the NAPE-selective phospholipase D (NAPE-PLD) enzyme18, or in two or three steps through alternative routes19,20. 2-AG and other 2-acylglycerols are produced in one step from the hydrolysis of diacylglycerols (DAGs) by either of two diacylglycerol lipases (DAGLs), DAGLα or DAGLβ (REF. 21), although in the adult brain it is the former of these two enzymes that accounts for nearly all of 2-AG acting as an eCB22. DAGs are produced in most cases from the hydrolysis of phosphoinositides by phospholipase Cβ (PLCβ)23. Although most eCB biosynthetic enzymes are sensitive to Ca2+, it is thought that the rate controlling and Ca2+-dependent steps in anandamide and 2-AG formation are undertaken by NAPE and DAG biosynthesis, respectively. A Ca2+-dependent acyltransferase24 catalyses the biosynthesis of NAPEs through the transfer of the corresponding acyl chains from the sn-1 position of phospholipids to the amine group of phosphatidylethanolamine; however, its molecular identity has not yet been reported.
eCBs are taken up by cells through a mechanism that is not yet elucidated fully — but likely to involve membrane carriers, intracellular carrier proteins and/or possibly endocytosis25 — and are then inactivated by enzymatic hydrolysis. For anandamide, this reaction is catalysed uniquely by fatty acid amide hydrolase 1 (FAAH)26, whereas for 2-AG most of this reaction seems to be catalysed by monoacylglycerol lipase (MAGL)27, although ABHD6 (an abbreviation of α,β hydrolase 6)28 and ABHD12, as well as FAAH29, are also capable of hydrolysing this eCB. Both anandamide and 2-AG are also oxidized by the enzyme cyclooxygenase 2 (COX2; also known as prostaglandin G/H synthase 2)30.
The postsynaptic and presynaptic distribution in the brain of DAGLα and MAGL, respectively, is ideal for enabling the retrograde inhibition of potentially excessive neurotransmitter release by 2-AG activation of presynaptic CB1 receptors31 (FIG. 1). Indeed, a flurry of landmark studies have demonstrated the pleiotropic nature of the eCB system, which is activated locally and on demand to regulate specific physiological functions, often following perturbations of homeostasis, to help restore a physiological steady state in mammalian cells, organs and organisms32.
How eCB signalling controls specific cellular functions, and how various cannabinoid agonists and antagonists modulate these functions is now much better understood, owing to the power of new pharmacological tools and genetic models capable of interrogating individual components of this system in selected cell populations. These approaches demonstrated that CB1 receptor signalling differs between glutamatergic and GABAergic neurons (see below), and also established that anandamide can activate non-cannabinoid receptors — the transient receptor potential cation channel subfamily V member 1 (TRPV1) channel and, possibly, the peroxisome proliferator-activated receptor-γ (PPARγ)33,34 — which confer further functional flexibility to this mediator. Together, the wealth of studies using these powerful tools has provided a picture of the role and components of eCB signalling in the healthy brain. Here we review how the basic components of this signalling system are affected by, and in turn regulate, ageing-related processes, and outline the molecular commonalities between the deregulation of this signalling system in normal ageing and during neuroinflammation and neurodegeneration.
Endocannabinoid signalling in ageing
There are numerous lines of evidence from rodents and humans to indicate that eCB signalling undergoes age-dependent changes. In rodents, the CB1 mRNA levels and/or specific binding of CB1 agonists in the brain peak at the onset of puberty, stay at a relatively stable high level in the adult35, and decline markedly in the cerebellum, cortex, and hippocampal and hypothalamic structures of older animals36. The old-age-dependent decrease in receptor availability to the plasma membrane is likely to be due to post-transcriptional mechanisms, because changes in CB1 mRNA levels do not always reflect changes in the density of receptor binding and hence the amount of CB1 protein36,37. Furthermore, the coupling of CB1 receptors to G proteins is also reduced in specific brain areas in older animals38. The levels of NAPE-PLD mRNA and protein increase during early post-natal development of rats39. This is accompanied by increasing brain anandamide concentrations during the early postnatal period40, with a peak at the onset of puberty41. Studies in humans also showed that CB1 receptor levels are much higher in younger compared to older individuals42,43. The levels of CB1 mRNA decrease by approximately 50% (REF. 44), and binding of the non-selective cannabinoid receptor agonist [3H] CP55,940 also decreases in cortical tissues of older individuals45. The mRNA levels of eCB biosynthetic and metabolic enzymes also change during ageing in the human prefrontal cortex. NAPE-PLD levels increase continuously during ageing, whereas DAGLα peaks in young adulthood and declines in older individuals. FAAH mRNA shows only a minor increase with ageing. MAGL mRNA levels are highest during infancy and decrease thereafter, while ABHD6 levels increase steadily throughout life44. Notably, we still do not know whether these changes correlate with corresponding changes in the levels of eCBs. Nevertheless, these data indicate that the age-related changes in the expression of the components of eCB signalling are similar in rodents and humans. These changes might be responsible for some of the age-specific alterations in behavioural paradigms measured both under basal conditions and following cannabinoid exposure. This could explain why, at a young age (2 months), animals lacking CB1 show better performance than wild-type littermate controls in several learning and memory tasks. Remarkably, when older individuals are tested, the outcome is the opposite. Specifically, at age 3–5 months, CB1-null mice no longer perform better, and in fact sometimes perform worse, than wild-type controls. When they are 12 months old, CB1-null mice perform substantially worse than wild-type animals in all cognitive tests used in these studies46–48. Exposure of animals to doses of THC in the range that cause psychoactive effects has been shown to impair cognitive functions49, similar to observations in humans after cannabis exposure50. These cognitive deficits persist even after an extended period of abstinence51, and it has been suggested that cannabis use during early life may accelerate brain pathologies associated with ageing and psychiatric disorders52,53. However, it is important to note that almost all studies on these THC effects, even in rodents, were performed with younger or adult (but not aged) individuals54,.55 and it remains unclear how relevant these results are to older individuals.
Evidence obtained with new-generation genetic mouse models in which selective components of eCB signalling were knocked out globally or in specific cell populations indicate that disrupting this system affects fundamental aspects of the normal ageing process. For example, the age-dependent acceleration of cognitive decline in mice with global deletion of CB1 is accompanied by accelerated loss of hippocampal CA1 and CA3 neurons, and induction of reactive astrogliosis in this brain region, as well as an increased number of activated microglia and enhanced levels of pro-inflammatory cytokines56. This phenotype is similar to that observed in mice with a deletion of CB1 selectively in GABAergic neurons; however, CB1 deletion in glutamatergic neurons does not induce any marked age-related cognitive deficits47,56. These data indicate that absence of CB1 receptors in specific neuronal types accelerates the appearance of brain ageing indicators, including neuronal loss and chronic neuroinflammation. Importantly, this phenotype is only observed in the brain and the skin of these animals, and not in other organs, suggesting a tissue-specific aspect of the involvement of eCB signalling in ageing56. The expression profile and role of CB2 receptors in mouse brain remains to be established clearly, but it is interesting to note that mice lacking CB2 receptors show a phenotype that is also reminiscent of accelerated ageing, although outside of the brain. These mice suffer from severe osteoporosis57,58, which is consistent with the reported function of this receptor in bone biology. Overall, these studies indicate that the disruption of cannabinoid receptors seems to enhance age-related decline in a number of tissues in which they have important physiological functions, and implicate eCB signalling in the control of the ageing process59 (FIG. 2).
One of the hallmarks of ageing in rodents that is known to be influenced by eCB signalling is the depletion and eventual exhaustion of neural stem cell populations. Proliferation of progenitor cells in the rodent hippocampus and olfactory bulb is reduced by at least 50% in older animals (aged over 14 months) compared to younger individuals (aged 2–6 months)60. This particular response to ageing probably involves both cell-extrinsic factors and alterations in the network of genes regulating proliferation, in particular those controlling eCB signalling61,62. Indeed, pharmacological compounds that enhance CB1 and CB2 activity, including inhibitors of anandamide degradation by FAAH, stimulate adult hippocampal neurogenesis63–66, whereas inhibition of eCB biosynthesis reduces it67,68. These pharmacological findings are supported by genetic studies showing that the deletion of CB1 receptors or the 2-AG-producing enzyme DAGLα reduce the proliferation of neuronal progenitors to approximately 50% of that of wild-type controls67,69. Conversely, mice with deletion of FAAH, which exhibit higher levels of anandamide in brain, show increased levels of adult neurogenesis70. As these experiments were performed in 4-month-old adult mice, it will be important to establish whether impaired eCB stimulation of neurogenesis underlies at least part of the neuronal decline typical of ageing. Furthermore, CB1 receptors also have a crucial role in axonal guidance, distance migration of neurons and synapse formation during brain development71, whereas activation of both cannabinoid receptors is needed to stimulate myelin formation in the subcortical white matter72. Notably, eCB signalling is also likely to have a crucial role in insult-induced adult neuron replacement and remyelination. How this fundamental function of eCBs on progenitor cells is affected by ageing is not known.
Endocannabinoids and neuroinflammation
The expression level of both cannabinoid and eCB-related receptors in neurons and glial cells may change independently either as a function of normal ageing or earlier in life in response to a neurological disease73 (FIG. 2). In neurological disease, chronic alterations in eCB signalling are often accompanied with chronic activation of the immune system and a number of immune cells that invade the brain parenchyma also express such receptors and thus contribute to the number of cells that will respond to eCB and cannabinoids74. This dynamic change in brain neuroinflammation in eCB signalling in neurons, glia and immune cells has been mapped in detail in mice undergoing experimental allergic encephalomyelitis (EAE), a model of multiple sclerosis. For example, resting microglial cells in the healthy adult brain express low levels of CB2, whereas induction of EAE induces a 200-fold upregulation in the expression of this receptor in activated microglia75. As CB2 receptors regulate the cellular function of microglia and macrophages (both important mediators of EAE pathogenesis)76, such a pronounced upregulation of these receptors in these cells might at first suggest that eCB signalling represents a critical molecular component controlling neuroinflammation and pathogenesis in EAE mouse models. However, an elegant study performed with a conditional genetic mouse model that enabled control of CB2 receptor expression in invading immune T cells in adult mice showed that it is this smaller population of cannabinoid receptors expressed by invading immune cells that has a key role in the development of the pathogenesis modeled by EAE77. These findings provide an example of how low levels of cannabinoid receptors expressed by non-CNS cells may critically control disease initiation and progression (FIG. 3). It is unknown whether the ability to control neuroinflammation (and allied neurodegeneration through the action of cannabinoids on invading T cells) changes as a function of ageing. Furthermore, how ageing might predispose individuals affected by multiple sclerosis or other neuroinflammatory disorders to cannabinoid-based treatments also remains an open question.
Variations in the levels of eCBs are also important to survey, as any change in the expression of cannabinoid receptors will alter their functionality, particularly if accompanied by a corresponding change in its endogenous agonists. Such changes in eCB levels have been detected in plasma from patients with multiple sclerosis78, as well as in patients with disorders ranging from Parkinson’s disease and Huntington’s disease to amyotrophic lateral sclerosis, and/or in tissues from the corresponding animal models79. These changes are likely to be influenced also by age-related alterations in the composition of the eCB signalling system. Therefore, to understand the possible role of this system in neuroinflammatory conditions, the field still needs to outline how cannabinoid receptor expression in neurons, astrocytes, microglia and invading immune cells, as well as eCB bioavailability, are affected by ageing. A better understanding of these processes will be essential if cannabinoid-based treatments are to be optimized for patients of different ages suffering from distinct disorders.
A key hallmark of ageing is found in the age-dependent deregulation of intercellular communication. This deregulation affects neuronal, endocrine and immune cell signalling80, and the molecular components involved in this process are potential targets for the prevention of age-related disorders. One example of deregulated intercellular communication that has been studied extensively occurs in monocytes and macrophages — major cellular components of the innate immune system — as ageing is often accompanied by accumulation of a low-grade pro-inflammatory milieu in certain tissues. This phenomenon has been termed ‘inflammaging’81. Specifically, older individuals have elevated levels of pro-inflammatory cytokines and nuclear factor-κB (NF-κB) signalling, and consequently, increased expression of inflammation-related proteins that are regulated by these molecules. This process is not unidirectional, as inflammaging also engages counter-adaptive processes, which include the activation of the hypothalamic–pituitary–adrenal (HPA) axis, resulting in an increased release of anti-inflammatory cortisol. Thus, it is thought that the balance between these opposing processes is an important determinant of the health-related consequences of ageing. Although the function of eCBs in inflammaging has not been studied in detail, decades of research indicate that this signalling system is an important modulator of immune cell functions and inflammatory responses. For example, it is known that brain eCB signalling is activated by stress82 as well as by pro-inflammatory stimuli, and is involved in the maintenance of HPA and immune homeostasis83. As mentioned above, mice with CB1 deletion show all characteristics of an increased inflammaging condition in the brain, indicating that CB1 activation is important to counteract this process. These findings suggest that during ageing and neuroinflammation (or when both are present together) there is a disruption of brain tissue homeostasis that involves eCB signalling, and that this contributes to specific cell dysfunction. Furthermore, downregulation of CB1 receptors induced by chronic THC administration, or deletion of CB1, also cause cerebellar microglial activation in mice84.
Another hallmark of ageing that is worth exploring is how age-related pathology that occurs in one tissue can adversely affect other tissues. Indeed, it was shown recently that a pro-inflammatory response that develops in the hypothalamus of older mice can exacerbate ageing-related changes in the physiology outside the brain, including changes in muscle endurance, dermal thickness, bone mass, tendon elasticity and cognitive performance in the whole animal85. In line with this evidence, inhibiting the age-related induction of hypothalamic inhibitor of nuclear factor-κB kinase subunit-β (IKK-β) or NF-κB (which have both been shown to be crucial to hypothalamic inflammation in older mice) reduces the age-related cognitive decline of these animals and prolongs their lifespan85. Interestingly, eCB signalling in the hypothalamus controls the HPA axis82 and modulates energy homeostasis in peripheral tissues. Activation of hypothalamic CB1 receptors induces orexigenic effects and inhibits energy expenditure. However, production of eCBs in the hypothalamus is inhibited by leptin86, a hormone produced peripherally that has anorexigenic effects (increases energy expenditure and suppresses appetite) but also has pro-inflammatory actions87. In adult mice with obesity induced by a high-fat diet, eCB signalling in the hypothalamus becomes deregulated following the development of leptin resistance in the arcuate nucleus, but not in other hypothalamic and extra-hypothalamic areas (see REF. 88 and references cited therein). This response is one likely cause of increased food intake and reduced energy expenditure, and contributes to further accumulation of adipose tissue and more leptin release. In turn, leptin promotes pro-inflammatory responses that might contribute to inducing gliosis and hence promote ageing and neuroinflammatory disorders, particularly multiple sclerosis87,89. Thus, although the activation of eCB signalling in lean animals may counteract neuroinflammation (but less so in older animals), the opposite may be true during obesity (and possibly more so in older animals), indicating an overarching change in the functionality of eCB signalling associated with ageing and disease with different, and sometimes even opposing, effects.
eCB signalling, cell metabolism and disease
Many of the signalling events downstream of cannabinoid receptors are known to funnel through molecular integrators (‘hub’ molecules) within the intracellular signalling networks that control basic cell functions, including cell viability and, by extension, normal ageing. One key downstream signalling event of CB1 (and leptin) receptors is the serine/threonine kinase mammalian target of rapamycin (mTOR), a molecular integrator that enables both cellular nutrient sensing and energy homeostasis (FIG. 2) through the ERK/MAPK–Akt pathway (FIG. 1). Specifically, mTOR is located in two multiprotein complexes, mTORC1 and mTORC2, which control anabolic metabolism through regulation of protein translation90. The mTORC1 complex has a role in regulating synaptic plasticity and cognitive functions, including memory, through mechanisms that depend on de novo protein synthesis. Acute injections of THC induce rapid and transient stimulation of mTORC1 activity in the hippocampus, striatum, cerebellum, frontal cortex and amygdala91,92, whereas repeated administration of THC leads to more sustained activation of mTORC1, lasting for several days after the cessation of treatment92. Accordingly, the amnesic effects of THC depends on mTOR signalling and can be abolished by the mTOR inhibitor rapamycin. Further supporting a functional link between these modalities, deregulated mTOR activity is associated with metabolic, neurological and psychiatric disorders, and overactivation of mTOR signalling through enhanced eCB activity contributes to cognitive impairment in fragile X syndrome93. Deregulation of this system is likely to represent an important sign of ageing59.
The regulation of mTORC1 by CB1 receptors is remarkably wide-ranging, as mTOR has also been implicated as a central regulator of autophagy, a cellular response thought to contribute to the ageing-associated loss of protein homeostasis or ‘proteostasis’. Proteostasis refers to cellular processes of stabilizing correctly folded functional proteins, or removing misfolded dysfunctional ones through proteasomal or lysosomal mechanisms. Fundamentally, autophagy (or specifically, macroautophagy) is a cytoprotective mechanism through which potentially harmful cytoplasmatic components are sequestered in vesicles and delivered to lysosomes for degradation94. This process can also provide nutrients under conditions of starvation. Evidence shows that autophagy is reduced in aged tissues and that rapamycin, and hence mTOR inhibition, increases lifespan mainly through induction of autophagy95. Interestingly, autophagy measured in cancer cells is also induced by eCB signalling96–98. However, the underlying mechanism of this latter response is unlikely to involve the above-mentioned CB1 activation of mTOR, as this mechanism inhibits (rather than stimulates) autophagy. Indeed, there is also evidence for inhibition of autophagy by eCB signalling, as CB1 antagonism and global deletion of CB1 were found to enhance autophagy flux in mice, although in an mTOR-independent manner99. Mice with CB1 deletion show a significantly increased accumulation of lipofuscin100, an age-related lipopigment that consists of highly crosslinked non-degradable lysosomal aggregates harmful to cells101. This phenomenon was related to a decreased expression of the lysosomal enzyme cathepsin D, which indicates that lysosomal degradation is impaired. Thus, in mice with CB1 deletion, the enhanced autophagy may be secondary to a reduced expression of cathepsin D, rather than inhibition of mTOR100 (FIG. 2).
The depiction of the molecular mechanisms mediating the age-dependent deregulation of eCB signalling and regulation of autophagy reveals an overlapping signalling framework that encompasses several common molecular hubs, many of which have also been implicated in Huntington’s disease. This devastating autosomal-dominant neurodegenerative disease is caused by CAG expansions in exon 1 of the IT15 gene (also known as HTT), which encodes the protein huntingtin102. Mutated huntingtin directly affects the expression of many genes and the activity of many enzymes that participate together in the development of this disease102,103. A remarkably early response induced by mutant huntingtin is to inhibit the Cnr1 promoter in neurons. This early downregulation of CB1 receptor expression can be detected in the neurons of human patients with Huntington’s disease, and genetic mouse and cellular models of Huntington’s disease49,104. Recently, genetic manipulations (deletion or rescue) of CB1 receptor expression in select neuronal populations of Huntington’s disease genetic mouse models demonstrated that downregulation of this receptor has a key role in striatal neurodegeneration, including the loss of cortical–striatal connections105,106. Thus, an additional conceptual link may be drawn that connects the age-dependent loss of functional CB1 receptors in select neuronal populations, which influence mTOR1 signalling, to the ability to promote autophagy in this neuronal population, with the two contributing together to the loss of functional synaptic contacts associated with Huntington’s disease.
An additional parallel may be found in studies showing that eCBs prevents amyloid-β-induced lysosomal destabilization in cortical neurons. Importantly, this activity is dependent on lysosomal CB1 receptors, but not on receptors located on the cell surface107. Indeed, it has been suggested recently that eCB signalling may be involved not only in intercellular but in intracellular communication through its ability to regulate the functions of intracellular organelles. In some cells, a substantial proportion of CB1 receptors are localized on lysosomes108–110, where they may be functionally active109. Furthermore, CB1 receptors have been found recently on the external membrane of brain mitochondria111. Although this finding is still somewhat controversial112, these mitochondrial receptors seem to regulate neuronal energy metabolism directly, because incubation of isolated mitochondria with THC reduces the activity of the respiratory chain complex I, decreases the level of mitochondrial cAMP, and decreases mitochondrial PKA activity112 (FIG. 1). The putative mitochondrial CB1 receptors were also shown to contribute to a form of eCB-mediated short-term feedback inhibition of synaptic activity, termed depolarization-induced suppression of inhibition, with potential impact on cognitive function111. These findings are important in light of the fact that mitochondrial dysfunctions contribute to physiological ageing59 as well as neurodegenerative disorders113.
In summary, the studies reviewed so far, together with evidence suggesting that changes in eCB levels might have a role in amyotrophic lateral sclerosis and Parkinson’s disease79, outline a molecular framework that connects extra- and intracellular eCB signalling to an age- and cell-metabolism-dependent deterioration of neural cells that might contribute to some neurodegenerative diseases.
The endocannabinoidome in neurodegeneration
Since the discovery of anandamide and 2-AG, it has been clear that these signalling lipids are accompanied in tissues by congeners; that is, other NAEs and 2-acylglycerols. These lipids are biologically active and share with the two eCBs their respective biosynthetic and inactivating enzymes (FIG. 1), but not their ability to activate CB1 and CB2 receptors. We now know that the brain concentrations of NAE and 2-acylglycerol congeners increase in animals treated with inhibitors of eCB-hydrolysing enzymes (FAAH or MAGL), as well as in mice lacking these enzymes114,115. Remarkably, most congeners activate more than one receptor (Supplementary information S1 (table)) and many of these eCB-related receptors are expressed by different cell types of the CNS and have been shown to be involved in ageing and neuroinflammation and/or neurodegeneration. Thus, for example, when the activity of FAAH is blocked in animal models of Parkinson’s or Huntington’s disease116,117, non-CB1-, non-CB2-mediated biological responses might be produced by NAE congeners, and this needs to be taken into consideration when interpreting the role of this enzyme in such pathological states.
NAEs and 2-acylglycerols are not the only examples of eCB-related mediators produced by cells. Amides of several fatty acids with amino acids (known as lipoaminoacids) or amine transmitters (such as the N-acyldopamines and N-acylserotonins)118–120, have been isolated and their bioactivity investigated. Although our current knowledge of the biochemistry of these putative lipid mediators is still limited, it has been observed that their biosynthesis or degradation might be affected when FAAH is inhibited118,120. The role of these long-chain fatty acid derivatives in the ageing brain or during neurodegenerative disorders is largely understudied, yet several molecular targets involved in excitotoxicity and neuroinflammation are known to be modulated by them (Supplementary information S1 (table)). Striking examples are T-type Ca2+ channels (particularly Cav3.2 and Cav3.3), which are involved in the establishment of associative long-term potentiation, and whose levels wane with ageing121. These channels are blocked by physiological concentrations of N-arachidonoyldopamine and N-arachidonoylserotonin, which exhibit nanomolar affinity in binding assays and are therefore among their strongest endogenous inhibitors122. Thus, if the levels of these eCB-like mediators were to be enhanced or reduced following pharmacological inhibition of FAAH, this could impact upon synaptic plasticity and potentially result in memory disturbances. These memory deficits could be more problematic if the levels of these mediators were shown to be altered during ageing.
To complicate things further, both anandamide and 2-AG can be oxidized efficiently by enzymes of the arachidonate cascade, in particular by COX2, and thus yield yet another class of bioactive lipids that act through yet other sets of receptors30,123. This reaction has now been demonstrated to occur also in vivo, especially under conditions in which COX2 is upregulated, and eventually leads to prostaglandin ethanolamides (or prostamides) and prostaglandin glycerol esters for anandamide and 2-AG, respectively. These metabolites produce biological effects via GPCRs that are pharmacologically different from both cannabinoid and prostaglandin receptors and are yet to be fully identified at the molecular level124. It is reasonable to expect that the formation of these bioactive metabolites is enhanced following pharmacological inhibition of the hydrolytic catabolism of eCBs by FAAH and MAGL (or ABHD6)123. One example was reported in relation to the neurotoxicity model of striatal neurons induced by malonate (which, if injected into the striatum of rats, produces effects that recapitulate some of the features of Huntington’s disease). In this model, inhibitors of MAGL (which would increase 2-AG accumulation and thus would be expected to be neuroprotective) were found, surprisingly, to worsen malonate-induced neurotoxicity and neuroinflammation, whereas inhibition of 2-AG biosynthesis by blocking DAGLα produced beneficial effects125. The mechanism underlying these unexpected results appears to involve a bioactive COX2 metabolite of 2-AG because treatment of striatal neurons with malonate in the presence MAGL inhibitors leads to the formation of prostaglandin E2 glycerol ester, which produces neurotoxic effects attenuated by a specific antagonist of prostaglandin E2 glycerol ester receptors125. Another example comes from experimental models of Parkinson’s disease, in which 2-AG, which has been known for decades to act as a biosynthetic precursor for arachidonic acid and eicosanoids in sensory neurons, may contribute to the neuroinflammatory response. Genetic or pharmacological inhibition of MAGL leads to reduced activity in the prostaglandin-mediated pro-inflammatory signalling cascades that underlie the neurodegeneration process measured in this model126. A key control was to show that the amelioration of Parkinson’s disease pathogenesis following MAGL inhibition was not due to indirect activation of cannabinoid receptors, but instead to reduction of prostaglandin biosynthesis via the 2-AG–arachidonate pathway126. Additional evidence comes from animal models of Alzheimer’s disease. In one study127, inhibition of MAGL was shown to attenuate neuroinflammation and lower amyloid-β levels and plaques, effects that seem to involve 2-AG-derived prostaglandins. In another study, inhibiting MAGL prevented neuroinflammation, neurodegeneration and decreases in integrity of hippocampal synaptic structure and function, thereby improving long-term synaptic plasticity, spatial learning and memory128. In both these studies, the effects were independent of CB1 and CB2 receptors. Thus, MAGL inhibitors might cause opposing actions on neuroinflammation depending on whether or not, in a given context and experimental set-up, 2-AG acts as a substrate for COX2 per se, thereby producing pro-inflammatory prostaglandin E2 glycerol ester, or only after its hydrolysis to arachidonic acid, thereby producing more conventional pro-inflammatory prostaglandins (FIG. 4).
The multifunctionality of these bioactive lipids is still more complex than discussed above. At submicromolar concentrations, anandamide and 2-AG — even before their catabolism — may modulate the activity of additional non-cannabinoid receptors directly. Modulating these other targets may either reduce or enhance the potential therapeutic advantage of agents designed to pharmacologically manipulate eCB tissue levels. For example, activation of TRPV1 channels is perhaps the best-established non-CB1-, non-CB2-receptor-mediated action of anandamide33. TRPV1 is expressed by both central neurons and glial cells (although less abundantly than in peripheral sensory neurons), and is involved in exacerbating glutamate excitotoxicity and neuroinflammation129; yet activation of this channel also contributes to changes in synaptic plasticity that can be beneficial to behavioural and cognitive deficits associated with neurodegenerative disorders129,130. Accordingly, TRPV1 activation can both exacerbate and counteract some of the major symptoms in animal models of Parkinson’s and Huntington’s diseases116,117,131,132. Another example is found in 2-AG that directly enhances GABAA receptor activity133, which may influence several aspects of ageing and neurodegeneration, including excitotoxicity, the development of neuroinflammation and the establishment of synaptic plasticity. Finally, both anandamide and 2-AG may also activate PPARγ, which is also emerging as a player in the control of neuronal activity and neuroinflammation by these signalling lipids34,134.
When reviewing this evidence, it is possible to see that the discovery of the eCB system has in fact unravelled a new world of lipid mediators, enzymes and molecular targets, which could be seen as an ‘endocannabinoidome’ (Supplementary information S1 (table)). This concept is not just a matter of mere definitions, or of viewing things in a holistic manner, but may influence the future planning, design and eventual testing — in appropriate patient populations — of drugs that interfere with selected molecular components of this complex signalling system.
Concluding remarks
The wealth of studies on the action of eCBs and synthetic cannabinoids at CB1 and CB2 receptors in the context of neuroinflammation, neurodegeneration and ageing points to several molecular hubs that are likely to dictate the cellular response induced by these ligands. For example, as eCBs modulate a wide range of biological function through specific receptors, the enzymes involved in their inactivation provide a target through which one can indirectly regulate the activity of such receptors and, hence, the pathological consequences of their malfunctioning. A control mechanism over eCB levels and signalling has been reported for FAAH, MGL and ABHD6, and we now understand that these enzymatic hubs control the levels of several distinct signalling lipids that target a broad panel of receptors within a signalling framework. A recent example of this complexity was provided with ABHD6 inhibitors that control seizure incidence in a mouse model of the juvenile form of Huntington’s disease, an effect mediated by the action of 2-AG at GABAA rather than cannabinoid receptors135. We also appreciate that this fine tuning of receptor activity by signalling lipids is in sharp contrast to the more sustained bioavailability of synthetic agonists, which is mainly determined by their pharmacokinetic profile typified by their accumulation in brain tissue. Thus, it will be important to bear in mind that control of cellular responses by synthetic compounds will not precisely mimic the more rapid and time- and space-specific activation and inactivation by endogenous signalling lipids. In particular, when considering the role of the eCB signalling system in controlling multiple modalities involved in ageing, neuroinflammation and neurodegeneration, a framework appears in which either one or several components of the endocannabinoidome may have to be targeted for therapy (TABLE 1). Specifically, the effects of manipulating eCB levels pharmacologically using inhibitors of FAAH and MAGL have been tested in experimental models of multiple sclerosis, and Alzheimer’s, Parkinson’s and Huntington’s diseases, often yielding contradictory results, possibly owing to the intrinsic differences and heterogeneity of these model systems. Such inhibitors produce clear symptomatic relief (in terms of alleviation of spasticity) in chronic or relapsing EAE136, and this might be one way by which CBD contributes to the anti-spasticity effects of Sativex in multiple sclerosis, as this phytocannabinoid is known to inhibit FAAH and can lead to increases in AEA levels in humans137,138. Importantly, following induction of EAE, reduced neuroinflammation and neurodegeneration have also been shown in mice with FAAH deletion compared to wild-type mice139,140. By contrast, studies testing the efficacy of FAAH inhibitors in animal models of Alzheimer’s, Parkinson’s and Huntington’s diseases and of amyotrophic lateral sclerosis have been less successful. Possible explanations include: the potential harmful role played by eCB signalling in the Alzheimer’s- and Parkinson’s-disease-like pathogenesis (to the point that CB1 blockers also produce beneficial actions in these cases)141,142; the possibility of inducing indirect activation of non-cannabinoid receptors (for example, TRPV1 channels) when inhibiting FAAH in Parkinson’s and Huntington’s diseases116,117; the downregulated CB1 receptor expression and/or FAAH activity in Huntington’s disease117,143,144; the seemingly opposite roles of CB1 and CB2 receptors in determining survival in the superoxide dismutase (SOD1) mouse model of amyotrophic lateral sclerosis145; and the different role of CB1 receptors when expressed on glutamatergic versus GABAergic terminals (neuroprotective only in the former case), for example, in a model of Huntington’s disease106. Indeed, differential coupling and function between CB1 receptors expressed by either glutamatergic and GABAergic neurons has been described in detail146. Thus, it is also possible that, owing to the time- and age-dependent nature of neurodegenerative disorders, and the plastic changes and roles of cannabinoid and eCB-related receptors in each of their phases (FIGS 3,4), similar therapeutic effects might be observed with drugs producing opposite actions on eCB actions or levels117,125; or an inhibitor of eCB inactivation might produce both amelioration and worsening of the symptoms, in different phases of a given condition147. These considerations provide a strong stepping stone to develop new therapies for both symptom alleviation and disease modification in neuroinflammatory and neurodegenerative disorders based on the pharmacological manipulation of eCB signalling, which may be a challenging but nevertheless fascinating task for our field of research to tackle in the future.
Table 1.
eCB-system-based drugs | Rationale | Advantages | Disadvantages | Disease | Refs* |
---|---|---|---|---|---|
Inhibitors of eCB cellular reuptake and enzymatic hydrolysis (by FAAH, MAGL, ABHD6) | Mimic the beneficial neuromodulatory effects of CB1 activation and the anti-inflammatory effects of CB2 activation in a time-and tissue-selective manner | Activity-dependent control of therapeutic effect, and fewer side effects |
|
|
116, 1136, 147, 150 |
Inhibitors of MAGL | Inhibition of 2-AG-derived inflammatory prostaglandins | Activity-dependent control of therapeutic effect, fewer side effects | Inhibition of beneficial effects of prostaglandins in other tissues or organs |
|
126–128 |
CB2 agonists | Reduction of inflammatory component of disease | Relative lack of psychotropic effects compared to CB1 agonists |
|
|
145, 151–153 |
CB1 antagonists or inverse agonists | Reduction of the neurochemical imbalance due to prolonged alterations of eCB signalling | Already tested in humans | Potential psychiatric adverse events (anxiety, depression) | Parkinson’s disease and Alzheimer’s disease (depending on model and disease phase) | 141, 142, 154 |
2-AG, 2-arachidonoyl-glycerol; ABHD6, α,β hydrolase 6; CB1, cannabinoid receptor 1; eCB, endocannabinoid; FAAH, fatty acid amide hydrolase 1; MAGL, monoacylglycerol lipase.
Selected references.
Supplementary Material
Acknowledgments
Research in the laboratory of A.Z. was funded by the Deutsche Forschungsgemeinschaft (FOR926, SFB645) and is a member of Excellence Cluster Immunosensation. N.S. is funded by the US National Institutes of Health (NIH; DA014486 and DA026430). V.D. acknowledges Progetto Operativo Nazionale (PON01_02512) and FIRB-MERIT grant number RBNE08HWLZ_006, for funding, and is a recipient of unrestricted grants from GW Pharmaceuticals, UK, and Allergan, USA. The authors wish to thank L. De Petrocellis and E. Drews for their help during the preparation of this manuscript.
Footnotes
Competing interests statement
The authors declare competing interests: see Web version for details.
FURTHER INFORMATION
Vincenzo Di Marzo’s homepage: http://www.icb.cnr.it/erg
Andreas Zimmer’s homepage: http://www.molpsychiatrie.uni-bonn.de/
See online article: S1 (table)
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