Elsevier

Brain Research Bulletin

Volume 142, September 2018, Pages 33-46
Brain Research Bulletin

Review
Brain endocannabinoid signaling exhibits remarkable complexity

https://doi.org/10.1016/j.brainresbull.2018.06.012Get rights and content

Highlights

  • Endocannabinoid signaling is one of the most extensive systems of the mammalian brain.

  • Numerous described factors inflect eCB signaling.

  • Receptors oligomerisation substantially changes signalization they trigger.

  • The eCB system can be used as therapeutic target.

Abstract

The endocannabinoid (eCB) signaling system is one of the most extensive of the mammalian brain. Despite the involvement of only few specific ligands and receptors, the system encompasses a vast diversity of triggered mechanisms and driven effects. It mediates a wide range of phenomena, including the regulation of transmitter release, neural excitability, synaptic plasticity, impulse spread, long-term neuronal potentiation, neurogenesis, cell death, lineage segregation, cell migration, inflammation, oxidative stress, nociception and the sleep cycle. It is also known to be involved in the processes of learning and memory formation. This extensive scope of action is attained by combining numerous variables. In a properly functioning brain, the correlations of these variables are kept in a strictly controlled balance; however, this balance is disrupted in many pathological conditions. However, while this balance is known to be disrupted by drugs in the case of addicts, the stimuli and mechanisms influencing the neurodegenerating brain remain elusive. This review examines the multiple factors and phenomena affecting the eCB signaling system in the brain. It evaluates techniques of controlling the eCB system to identify the obstacles in their applications and highlights the crucial interdependent variables that may influence biomedical research outcomes.

Introduction

The human endocannabinoid system comprises two principal ligands and two key receptors. The major endogenous ligands for CB receptors are two fatty acid derivatives: the eicosanoids N-arachidonoyl-ethanolamide (anandamide) and 2-arachidonoyl glycerol (2-AG). Two endocannabinoid receptors are known: CB1R, which is widely expressed in the brain, with lower levels observed in the peripheral circulation, and CB2R, which is mostly expressed in the peripheral circulation, predominantly in immune-related organs and cells. Both receptors contain seven transmembrane domains and are members of the class A G-protein coupled receptor (GPCR) superfamily.

CB1R has a phylogenetically conserved function, sharing 97–99% amino acid sequence identity with various mammalian species. Other species also demonstrate similar patterns of CB1R distribution in the brain (Matsuda et al., 1990a). Compared to the density of GABA, glutamate or striatal dopamine receptors, CB1 receptors appear to be as abundant in the brain as pivotal neurotransmitter receptors (Herkenham et al., 1990). In the brain, CB1Rs are widespread in the hippocampus, cerebellum, cerebral cortex, basal ganglia, amyglada and sensory motor sectors of the striatum; however, they are sparsely distributed in the brainstem, diencephalon and spinal cord (Herkenham et al., 1991; Glass et al., 1997; Van Waes et al., 2012; Chevaleyre et al., 2006). The activity, quantities and distribution pattern of the CB1 receptors seem to be specific to cell type, synapse type and even microdomain. CB1Rs are mostly distributed presynaptically, with much higher density in GABA-ergic than in glutamatergic neurons (Katona et al., 2006a; Kawamura et al., 2006; Stempel et al., 2016), and are most abundant in the hippocampal GABA-ergic interneurons, on presynaptic axon terminals (Katona et al., 1999). Even though the highest CB1R content is found on the GABA-ergic synapses of hippocampus CCK-positive interneurons, their density varies between distinct types of interneuron, resulting in differential efficacy of synaptic activity control (Katona et al., 2000; Lee et al., 2010a).

In addition, the enzymes involved in endocannabinoid metabolism, such as the AEA-degrading enzyme FAAH (fatty acid amide hydrolase), several AEA synthesizing enzymes, the 2-AG synthesizing enzymes DGL-α and DGL-β (diacylglycerol lipase α/β) and the 2-AG degrading enzyme MAGL (monoacylglycerol lipase), also demonstrate considerable subcellular segregation and varied distribution patterns in the brain (Nyilas et al., 2009; Ludanyi et al., 2011; Gao et al., 2010; Uchigashima et al., 2007; Yoshida et al., 2006; Matyas et al., 2008; Yoshida et al., 2011; Katona et al., 2006a; Gulyas et al., 2004; Uchigashima et al., 2011; Tanimura et al., 2010). In consequence, the localization, quantity and thus the activity of 2-AG, AEA and CBRs are highly controlled and site specific, resulting in a highly-complex arrangement of endocannabinoid signaling outputs. For example, the psychotropic effects of Δ9-tetrahydrocannabinol (Δ9-THC), a major terpenophenolic compound of marijuana, are mediated by CB1Rs, and its prolonged use leads to CB1R-dependent long-term memory deficits (Ledent et al., 1999; Puighermanal et al., 2009). In addition, CB1R may well play a protective role against age-dependent cognitive decline as the absence of a CB1R receptor induced degeneration of pyramidal neurons and enhanced neuroinflammation in CNR1 knock out mice: this being the gene encoding CB1R (Albayram et al., 2011).

Cannabinoid signaling involves non-cannabinoid factors that increase CB system complexity. eCBs can non-specifically activate many other receptors. For example, AEA, but not 2-AG, activates type-1 transient receptor potential vanilloid (TRPV1) ion channels that naturally serve to respond to low pH and noxious heat (Tominaga et al., 1998; Di Marzo and De Petrocellis, 2010). However, while only high concentrations of AEA preferentially activate TRPV1, low AEA concentrations activate CB1R (Moreira et al., 2012). Some other non-cannabinoid receptors that are vulnerable to eCB activation include peroxisome proliferator-activated receptors (PPARs), non-selective cation channels such as TRPA1 or TRPM8, ligand-gated ion channels including 5-HT3, metabotropic receptors including GPR55, glycine and nicotinic acetylcholine receptors, voltage-gated ion channels including T-type calcium channels and the TASK potassium channels (Witkamp, 2016; Pertwee et al., 2010). Also some non-cannabinoid ligands can activate CB receptors and these include FAAs, glycerol esters, prostamides or PG esters (Witkamp, 2016).

The present review discusses the known factors forming parts of the vast network of structural and functional dependence in the cannabinoid system of the brain. It involves the activation or inhibition of diverse signaling pathways by cannabinoid and non-cannabinoid ligands and receptors. It highlights the significance of conformational changes within receptors which allow incoming signals to be distinguished, thus inducing various interactions with distinct G-proteins and other endogenous non-G proteins. It outlines known phenomena which influence downstream signaling such as receptor oligomerisation. When emphasizing the immense complexity of the cannabinoid system in the brain, it is important to note two key points: numerous variables and their combinations are specific for a cell type and its condition, and that no two cells are the same, according to the cogent concept of somatic mosaicism (Katona and Freund, 2012; McConnelll et al., 2017; Lodato et al., 2015; Hazen et al., 2016).

Section snippets

Astrocytes boost eCB signaling complexity

The human brain comprises approximately 86 billion neurons that generate a dense web with around 100 trillion synapses (Azevedo and Ludmila, 2009). Each synaptic connection is literally a tripartite synapse composed of two neuronal terminals, surrounded by one astrocyte; hence astrocytes are associated with all synapses and participate in information exchange between pre- and postsynaptic neurons. Surprisingly, a single rat hippocampus astrocyte has been found to link with about 140,000

Heterogeneous activity of eCB signaling

Numerous varied systems and mechanisms regulating organism functions are affected by the activity of eCB signaling. Some events induce changes in eCB synthesis. For example, the levels of eCBs, especially 2-AG, are elevated after brain injury, convulsions or stroke (Panikashvili et al., 2001; Wettschureck et al., 2006), suggesting that the system played a remedial function. Inversely, any disruption in the eCB system can result in specific functional disorders. For example, the level of CB1

Is the therapeutic modulation of eCB signalling feasible?

CB1Rs are interesting targets for the development of drugs intended to treat a wide range of pathologies including neurodegeneration, obesity, addiction, pain, depression and seizures. Various strategies can be employed to control CB signaling, one of which being the use of natural or synthetic CB receptor agonists, which have been proposed for the treatment of many conditions, such as nausea, neuropathic pain or insomnia. These agonists have also been found to induce anti-tumor effects, mood

Masterly arrangement – receptor oligomerisation

The scope of eCB signaling activity is so vast, with its triggered mechanisms demonstrating such exceptional complexity and multiplicity, that it cannot be attributed only to the cell-specific variety of quantities and localization patterns of a few eCBs, CBRs and eCB-metabolizing enzymes. At the beginning of the 1980s, it was hypothesized that receptors could interact by forming larger complexes. Currently, many examples of receptor oligomers have been identified with the use of at least 22

Functional effects of receptor oligomerisation

Oligomerisation significantly influences receptor signaling, induces novel signaling pathways, alters the potency of agonists and even changes the localization of the receptors (Rozenfeld et al., 2012; Ellis et al., 2006; Viñals et al., 2015). Therefore, having observed considerable relationships between particular receptor signaling pathways and localizations, it can be assumed that these receptors form complexes which are yet to be discovered.

The best representation of functional alterations

How can the phenomenon of receptor oligomerization be harnessed?

While oligomerisation increases the complexity of eCB signaling, it also allows the production of agents with more specific therapeutic effects, which act by targeting particular combinations of receptor complexes instead of separate ones. One such set of promising pharmacological tools are bivalent ligands that bind two GPCRs simultaneously. The bivalent ligand is composed of two pharmacological recognition units covalently linked through a spacer. Nevertheless, this concept has its

Molecular complexity of CB1R signaling continues

Full, partial or inverse agonists affect receptor signaling to different degrees (Breivogel et al., 1998; Georgieva et al., 2008). Full agonists contribute to the activation of more G-proteins than partial agonists (Mukhopadhyay and Howlett, 2005). One activated receptor may over time activate many G-proteins, possibly of different types, resulting in signal amplification (Gierschik et al., 1989; Breivogel et al., 1997). Interestingly, different ligands induce diverse conformations of CB1R,

Future directions

The ability to exploit the positive effects of eCB signaling will create possibilities for the treatment of brain dysfunctions. Various strategies may be used in drug discovery and development, including manipulation of the altered signaling of receptors in complexes or the capability of proteins to interact. An interesting approach involves drug microdosing, as the ligand concentration is one of the important factors influencing cell signaling. For instance, LSD microdosing has been suggested

Discussion

For many years, there has been an ongoing effort to categorize brain cells into hundreds of similar cell types. However, recent discoveries suggest that due to their high degree of somatic mutation, no two cells are genetically identical. The formation of such a patchwork of genetically distinct cells is called somatic mosaicism, and it constitutes one of the greatest challenges for science. Creating a collection of maps that define such cell types and their localizations is the ambitious goal

Author contributions

Anna Gorzkiewicz - writing the manuscript; Janusz Szemraj - substantively revising the manuscript

Conflicts of interest

Authors declare no conflicts of interest

Acknowledgements

No funding to declare.

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