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REVIEW article

Front. Aging Neurosci., 04 October 2022
Sec. Alzheimer's Disease and Related Dementias
This article is part of the Research Topic Targeting the Endocannabinoidome in Neurodegenerative Disorders View all 5 articles

Targeting the cannabinoid system to counteract the deleterious effects of stress in Alzheimer’s disease

  • 1Philadelphia College of Osteopathic Medicine, Philadelphia, PA, United States
  • 2Department of Pharmacology and Physiology, College of Medicine, Drexel University, Philadelphia, PA, United States

Alzheimer’s disease is a progressive neurodegenerative disorder characterized histologically in postmortem human brains by the presence of dense protein accumulations known as amyloid plaques and tau tangles. Plaques and tangles develop over decades of aberrant protein processing, post-translational modification, and misfolding throughout an individual’s lifetime. We present a foundation of evidence from the literature that suggests chronic stress is associated with increased disease severity in Alzheimer’s patient populations. Taken together with preclinical evidence that chronic stress signaling can precipitate cellular distress, we argue that chronic psychological stress renders select circuits more vulnerable to amyloid- and tau- related abnormalities. We discuss the ongoing investigation of systemic and cellular processes that maintain the integrity of protein homeostasis in health and in degenerative conditions such as Alzheimer’s disease that have revealed multiple potential therapeutic avenues. For example, the endogenous cannabinoid system traverses the central and peripheral neural systems while simultaneously exerting anti-inflammatory influence over the immune response in the brain and throughout the body. Moreover, the cannabinoid system converges on several stress-integrative neuronal circuits and critical regions of the hypothalamic-pituitary-adrenal axis, with the capacity to dampen responses to psychological and cellular stress. Targeting the cannabinoid system by influencing endogenous processes or exogenously stimulating cannabinoid receptors with natural or synthetic cannabis compounds has been identified as a promising route for Alzheimer’s Disease intervention. We build on our foundational framework focusing on the significance of chronic psychological and cellular stress on the development of Alzheimer’s neuropathology by integrating literature on cannabinoid function and dysfunction within Alzheimer’s Disease and conclude with remarks on optimal strategies for treatment potential.

Introduction

Allostasis is the process of the body managing stress through an intricate system involving central and peripheral nervous systems. Under various levels of physiological or psychological stress, known as allostatic load, the body elicits the hypothalamic-pituitary-adrenal (HPA) axis, prefrontal-locus coeruleus circuitry, and limbic system to maintain homeostasis. However, these advantageous mechanisms can become maladaptive under chronic stress, known as allostatic overload (McEwen, 2004; McEwen and Gianaros, 2011). Allostatic overload renders the body incapable of terminating the stress response. This eventually compromises the formidability of the body resulting in pathophysiology through inflammatory, cellular, and neuronal remodeling (McEwen, 2004; McEwen and Gianaros, 2011).

The current review focuses on the role of allostatic overload and the associated stress neurocircuitry in Alzheimer’s Disease (AD). AD is a progressive neurodegenerative disorder marked by cognitive deterioration and dysautonomia. It is the most common cause of dementia and affects approximately 1 in 9 people in populations 65 years of age and older (Nestor et al., 2004; Rajan et al., 2021). Typically, the first clinical sign is short-term memory loss (Godbolt et al., 2004; Hodges, 2006). As AD manifests over time, an individual will exhibit other signs of allostatic overload including delusions, depression, irritability, praxis, dysautonomia, endocrine dysfunction, and dementia (Ishii and Iadecola, 2015). Commonly, AD is diagnosed with the Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5) criteria for major neurocognitive disorder due to AD. The criteria include a gradual and progressive onset, cognitive decline in at least one domain, compromission of activities of daily living due to cognitive impairment, exclusion of cognitive deficits due to secondary etiology, and family history or genetic factors (Jack et al., 2011). In the past, the National Institute of Neurological and Communicative Diseases and Stroke/Alzheimer’s Disease and Related Disorders Association (NINCDS-ADRDA) criteria revolved around a clinical and pathological approach including clinical history, physical exam, neuropsychological testing, laboratory testing, and brain imaging (McKhann et al., 1984). Now, the NINCDS-ADRDA is refined to a new and broader criterion known as the National Institute of Aging/Alzheimer’s Association (NIA-AA) which is used to consider the clinical framework with biomarkers. The NIA-AA criteria encompasses preclinical AD, mild cognitive impairment secondary to AD, and dementia secondary to AD (Jack et al., 2011). Recently these criteria have been updated to reflect biological indices of disease that include the biomarkers β amyloid deposition (A), pathologic tau (T) and neurodegeneration (N), collectively referred to as ATN (Jack et al., 2018). A definitive AD diagnosis requires the presence of neurofibrillary tangles and amyloid plaques in brain autopsy (Mirra et al., 1991), thus the ATN research-based framework of biomarkers emphasizes the proteinopathy that distinguish AD from other neurological diseases (Jack et al., 2018).

Disease heterogeneity: Emerging evidence and treatment implications

AD is generally considered an age-dependent disease whose patient population can broadly be divided into those that begin to exhibit symptoms before the age of 65, and those that start to experience symptoms at the age of 65 or older. Sporadic, or late onset AD (LOAD) occurs in individuals at least 65 years of age and is most associated with the apolipoprotein E (APOE) which is a predominant genetic biomarker risk factor (Schmidt et al., 2014). It is thought that lifestyle factors such as diet, exercise, and stress levels are significant factors in the development and progression of LOAD. Thus, LOAD may be considered an expression of allostatic overload that results from prolonged physiological and/or psychological stress over the course of a lifetime. This is contrasted with familial AD which develops earlier in life (< 65 years of age) and may be considered an expression of allostatic overload that results from extreme cellular stress. It is characterized by mutations in the genes for amyloid precursor protein (APP), presenilin 1 (PSEN1), and presenilin 2 (PSEN2). These familial AD-associated genes are responsible for the accelerated production and aggregation of amyloid proteins, resulting in about 5% of the total AD cases (Krstic and Knuesel, 2013). Regardless of early or late onset, suspected AD is confirmed by autopsy of human postmortem brain tissue. On a cellular level, allostatic overload is evident as abnormal protein aggregates resulting from cellular dysfunction.

Our understanding of clinical AD and the pathophysiology that underlies cognitive impairment continues to evolve as we conduct large-scale studies on AD patients. Recent efforts to discover a disease-modifying therapeutic have turned the focus of research toward the earliest, prodromal stages of disease. Combined with more in-depth research approaches, AD patient populations have come to be understood clinically and pathologically as much more heterogeneous than originally conceived. For example, positron emission tomography (PET) scanning studies using neuroimaging tracer compounds bound to amyloid-β (Aβ) deposits revealed amyloid deposition in 20–30% individuals without cognitive impairment (Rodrigue et al., 2009). Moreover, some asymptomatic AD individuals can deviate from the down spiraling of cognitive function mirrored by its age-dependent disease course. Researchers propose that there is a subtype of early onset of AD and a heterogeneity within asymptomatic AD individuals that are immune from clinical fatal outcomes although possessing neuropathology (Driscoll and Troncoso, 2011).

The heterogeneity of the AD patient population, particularly in early stages of disease, is further illustrated in a subset of the AD academic literature focused on the behavioral and psychological symptoms of dementia (BPSD) as well as other non-memory symptoms (McKeith and Cummings, 2005). One study found that dysfunction in judgment and problem solving, language, and visuospatial abilities were the first symptoms in the younger AD age presentation (Barnes et al., 2015). These findings were supported by another study reporting that non-memory cognition syndromes are recognized in the early onset of AD before age 65 (Mendez, 2012). This presents a reckoning of the predated, yet commonly used diagnosis of AD based on the NINCDS-ADRDA criteria to incorporate earlier onset AD symptoms without being limited to ruling-in dementia during the first step approach (McKhann et al., 1984; Dubois et al., 2007; Sutphen et al., 2014; Cece and Shifu, 2015). Moreover, neuropsychiatric assessments are thought to play a crucial role in accurately diagnosing and treating symptoms of dementia in diverse patient populations. Based on psychiatric evaluation alone, three behavioral subtypes of AD have been identified: those with low or absent behavioral abnormalities, those with clear symptoms of psychosis, and those with a persistent mood disorder (McKeith and Cummings, 2005).

Importantly, a culmination of neuroimaging and genomic evidence suggests significant neurobiological differences distinguish BPSD patients from those that do not exhibit psychiatric symptoms (Klimek et al., 1997; Ordway et al., 1997, 2003; McCulley et al., 2004; Szot et al., 2006; Borroni et al., 2009; Grunblatt et al., 2009; Combarros et al., 2010). The exploration of key modulators, receptors, and neuronal circuits in the pathogenesis of AD is an evolving field in targeting effective therapy. The continued failure of potential therapies in clinical and preclinical trials highlights the importance of not only understanding the clinical heterogeneity of AD, but also in concentrating our research efforts in delineating the neurobiological basis for these differences. For example, treatment aimed at dampening the pro-inflammatory effects of AD were demonstrated to be not only dependent upon the pathogenic stage of AD but also region specific. Thus, the diversity of cellular phenotypes and responses within different brain regions is significant in effectively treating cognitive abnormalities (Lopez-Gonzalez et al., 2015). In the coming sections, we put forth the hypothesis that chronic physiological or psychological stress, an expression of allostatic overload, renders a sub-population of individuals more vulnerable to stress-related disorders such as AD. Further, we argue that the neurological patterns that accompany chronic stress may be used as phenotypic markers for an AD patient subpopulation that may be more responsive to certain types of treatment. Specifically, we discuss the therapeutic potential of targeting the endogenous cannabinoid system to counteract the deleterious effects of stress at early stages of disease.

Overview of Alzheimer’s disease neuropathology and stress-integrative circuitry

Overview of Alzheimer’s disease neuropathology

Aβ plaques are one of the best characterized hallmarks of AD. Clinical evidence has shown the accumulation of Aβ plaque deposits in postmortem human brains (Allsop et al., 1983). In vivo studies with male senescence accelerated OXYS non-transgenic rats demonstrated an association between the increase in Aβ deposition and age in AD (Stefanova et al., 2015). The accumulation of amyloid deposits over time predisposes individuals to developing sporadic late-onset AD (Castellano et al., 2012). The amyloid cascade hypothesis asserts that aggregation of Aβ plaques leads to a cascade of events that includes the activation of microglia and astrocytes while propagating oxidative injury. However, clinical trials of drugs and/or biologics that target Aβ have failed, resulting in a redirection of efforts toward other targets (Kametani and Hasegawa, 2018; Hillen, 2019). While the Aβ pathway is regarded as an important marker of AD pathology, particularly at early stages of disease, there are ongoing challenges to the amyloid cascade hypothesis (Hardy and Selkoe, 2002; Levin et al., 2022).

In tandem to the increasing Aβ levels that occurs over the course of the lifetime, aberrant intracellular signaling results in hyperphosphrylation of tau, the critical neuronal structural protein. Hyperphosphorylated tau aggregates to form neurofibrillary tangles neurofibrillary tangles (NFT), ultimately disrupting synaptic transmission and inducing mechanisms of degeneration. The progression of disease is illustrated histopathologically by the pattern of NFT accumulation across the brain, originally characterized by Braak and Braak in AD stages I-VI (Braak and Braak, 1991b,1995). AD staging revealed the involvement of the limbic system and its autonomic implication in early onset of AD. The autonomic dysfunction worsens as the NFT stage increases (Allan et al., 2007; Tulba et al., 2020). Recent studies have demonstrated that by interacting with the α2a adrenergic receptor (AR), Aβ42 oligomers (Aβ42olig.) can elicit the glycogen synthase kinase 3β (GSK3β)/tau cascade (Zhang F. et al., 2020).

In addition to the hallmark pathogenesis of AD marked by Aβ aggregation and tau phosphorylation, AD is also profoundly affected by neuroinflammatory processes. Thus, we are now also developing an understanding of the importance of astrocyte and microglial activation, as well as the release of cytokines and other inflammatory signaling molecules. The inflammation caused by both Aβ plaques and neurofibrillary tangles are exacerbated by microglial activation in the late stage of AD. Microglial activation releases cytokines, chemokines, and complement proteins. These detrimental effects of microglial activation are juxtaposed with their advantage of clearing aberrant protein aggregation in the acute stage of AD (Heneka et al., 2015). Thus, the proteinopathy-induced microglial activation along with inflammatory markers may exert an allostatic overload, propagating AD disease progression (Lee et al., 2015). Similarly, astrocytes are known to possess a dual nature of degrading Aβ plaques and contributing to cytokines and pro-inflammatory mediators (Wang et al., 2015; Frost and Li, 2017). Both microglia and astrocytes release nitric oxide (NO) which propagate tau hyperphosphorylation (Fakhoury, 2018). The oxidative stress, tauopathy, and amyloidogenic pathways synergistically impairs neuronal functioning and predisposes individuals to cognitive detriment (Tonnies and Trushina, 2017). Finally, individuals with AD are noted to have decreased Aβ clearance via vascular smooth muscle cells (VSMCs) due to the compromise of the blood brain barrier (BBB). The BBB is threatened by Aβ plaques, which causes microhemorrhages, hypoperfusion, and alteration of VSMCs (Tarasoff-Conway et al., 2015).

Overview of stress integrative circuitry

Hypothalamic-pituitary-adrenal axis

In this section, we highlight the topographic and internuclear regions of the nervous system involved in responding to cognitive and physical stressors. When exposed to a stressful stimulus, the paraventricular nucleus (PVN) of the hypothalamus releases adrenocorticotropic hormone (ACTH) onto the posterior pituitary. In effect, the pituitary gland secretes the neurohormone corticotropin releasing factor (CRF) into the hypophyseal portal system, allowing CRF to travel through the bloodstream to activate the adrenal glands in the periphery. Simultaneously, the central response to stress is activated when CRF is released from afferents of the PVN that project to the locus coeruleus (LC). The LC contains the most robust population of norepinephrine (NE) -producing neurons in the brain (Valentino and Van Bockstaele, 2008; O’Donnell et al., 2012). The activation or excitation of LC neurons results in the release of NE throughout nearly the entire neuraxis to coordinate a cognitive response that facilitates adaptive behavior and dynamic learning (Figure 1).

FIGURE 1
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Figure 1. Stress-integrative circuitry intact and adaptive. Under normal physiological conditions, the HPA axis is regulated by negative feedback (A). The activation of the HPA axis and subsequent synthesis and release of glucocorticoids from the adrenal glands feed back onto anatomical substrates such as the PVN and mPFC to terminate the stress response. Peripheral, acute CRF signaling and response by the CRF Receptor 1 on immune cells suppress the immune response. In parallel, negative feedback mechanisms of the central stress-integrative circuitry are intact and allow for adaptive responses to stressful stimuli. Under acute stress, FAAH activity is upregulated and AEA levels are decreased, enabling the activation of the HPA axis (Hill et al., 2009). The transient stress induced AEA levels in the amygdala plays an important role in balancing AEA signaling (Hill et al., 2010), and suggests that AEA tonically inhibits BLA activity in the absence of stressors (Hill et al., 2011a). Based on a series of neuroanatomical and biochemical experiments, we have put forth the idea that CB1r is strategically localized to presynaptic terminals of CRF-containing neurons that arise in the amygdala as a mechanism of regulating input from the amygdala to the LC. The peri-LC contains a majority of excitatory synapses, while the core LC possesses mostly inhibitory synapses. This supports the idea that amygdalar CRF afferents are modulated by the eCB system to adapt to emotional stimuli during the stress response (B).

Coeruleo-cortico-amygdalar circuit

NE is responsible for maintaining a plethora of functions: agitation, aggression, arousal, attention, cognition, autonomic processes, and sleep-wake cycles (Berridge and Waterhouse, 2003; David and Malhotra, 2022). The LC is uniquely poised to coordinate endocrine, emotional, and cognitive aspects of the central response to stress. Not only is the LC linked with the HPA axis to receive and relay endocrine information, but it is also reciprocally connected with the amygdala and prefrontal cortex (PFC). It is thought that the central nucleus of the amygdala (CeA) conveys information regarding the emotional salience of a particular stimulus, while cortical projections are involved in facilitating adaptive behavior. The cognitive limb of the stress response revolves around the LC modulation of cortical and limbic regions (Figure 1B). LC-PFC bidirectional neuronal connections are vital in maintaining resiliency to various states of allostatic load by appropriately adapting flexible behavior to the stress response. According to Chandler and colleagues, the LC evokes set-shifting within the PFC that facilitates dynamic learning behavior (Chandler et al., 2019). This neurobehavioral adaptation is mediated by a subpopulation of LC neurons with DREADD-activated LC terminals within the PFC (Cope et al., 2019). Moreover, the LC-PFC is able to compartmentalize sensory and behavioral inputs while also appraising salient stimuli. This flexibility of top-down cortical processing dampens amygdalar activity at normal parameters. However, this top-down regulation is devastated under stress conditions (Arnsten, 2009). During chronic stress, the LC-NE discharge is heightened which leads to dysregulation of the PFC and recruitment of posterior cortical and subcortical regions. This is contrasted with acute stress where the executive function of the PFC can adjust behavior appropriately (Chandler, 2016; Figure 1).

Additionally, the PFC has a dual mechanism in terminating HPA axis via the short-loop and long-loop glucocorticoid negative feedback (Hill et al., 2011b). The short-loop involves regional glucocorticoid influences in the PVN, and the long-loop engages the corticolimbic circuitry in cross-communicating with the hypothalamus (Herman et al., 2003). Emphasis of the mPFC in the corticolimbic system is important to elucidate how cognitive and emotional salient stimuli are processed in a top-down regulation, thus influencing the HPA axis. Furthermore, the complexity of the mPFC is characterized by its diverse topographical nuclei. There exists a noteworthy differentiation between the dorsoventral axis of the mPFC, and its implication upon PVN regulated sympathoadrenal and neuroendocrine processes under acute emotional stress (Heidbreder and Groenewegen, 2003; Radley et al., 2006a). A retrograde tracing experiment in rats demonstrated increased Fos expression in the PVN with ventral mPFC lesions, suggesting a role in stress-induced PVN autonomic output (Radley et al., 2006a). The dorsal region, known as the prelimbic medial PFC (PL-mPFC) is responsible for mainly inhibiting the HPA axis, whereas the ventral region, known as the infralimbic mPFC (IL-mPFC) is known for activating the HPA axis (Radley et al., 2006a).

Acute and chronic stress responses involve coordinated immune responses

Under normal physiological conditions, the HPA axis is regulated by negative feedback (Figure 1A). The activation of the HPA axis and subsequent synthesis and release of glucocorticoids from the adrenal glands feed back onto anatomical substrates such as the PVN to terminate the stress response. Upon exposure to an acute stressor, the HPA axis and coeruleo-cortico-amygdalar circuitry are activated in parallel to facilitate an adaptive behavioral response and later inhibited by glucocorticoid signaling. Our laboratory has demonstrated that the LC is finely tuned by co-regulation of CRF, endogenous opioids and the eCB systems (Scavone et al., 2010; Cathel et al., 2014; Reyes et al., 2014; Wyrofsky et al., 2017, 2018). The level and mode of LC activity is dependent on the balance of neuromodulators that are active at a particular time.

In contrast, during states of chronic or pathological stress, the HPA axis, LC, and associated stress integrative circuitry no longer respond to negative feedback inhibition, resulting in aberrant, unregulated, activity of the entire system (Figure 2B). Under conditions of chronic stress, the prolonged neurotransmission of CRF onto LC dendrites expressing CRF receptor 1(CRFR1) results in the cellular adaptation known as sensitization, in which LC neurons become more sensitive to CRF input. Our group and others have gathered biochemical and physiological evidence for heightened excitability of LC neurons in the presence of CRF (Valentino et al., 1998; Curtis et al., 2006; Reyes et al., 2008). Furthermore, the CRF afferents originating in the CeA project to the peri-LC, whereas afferents originating in the PVN project to the core LC (Valentino et al., 1996; Van Bockstaele et al., 1998, 2001; Reyes et al., 2005). This topographical innervation of the LC is relevant given that CRF afferent distribution can be mapped to its specific nuclei function. Thus, perturbation of CRF is vital in mediating the LC-NE circuitry especially within the context of integrating arousal, contextualizing stressful stimuli, and preserving cognitive function (Figure 2A).

FIGURE 2
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Figure 2. Allostatic overload renders stress-responsive circuits vulnerable to neuronal injury and degeneration. During states of chronic or pathological stress, the HPA axis, LC, and associated stress integrative circuitry no longer respond to negative feedback inhibition, resulting in aberrant, unregulated, activity of the entire system (B). Chronic stress related psychiatric behavioral symptoms are the result of complex, between- and within- network adaptations. While large-scale cortical networks become less intrinsically connected, and the microcircuitry that comprise them retract in dendritic density and complexity, there is correspondingly less top-down regulation of limbic circuitry. GABA-ergic interneurons of the BLA are disinhibited by decreased cortical input, leading to greater activity in limbic regions such as the central nucleus of the amygdala (CeA). Further shifts away from cortical control and toward limbic control occur as CeA afferents release increasing amounts of CRF in high frequency onto locus coeruleus (LC) neurons, rendering them more susceptible to stress-related excitotoxicity. A predominance of CB1r are found on cholecystokin (CCK)-positive GABAergic interneurons in the BLA. The inhibition of the BLA via CCK-positive GABAergic interneurons may be able to restore homeostatic LC tone by inhibiting CeA projections to the LC. In effect, this would silence HPA hyperactivation and halt the propagation of BLA excitability in a state of allostatic overload (A).

It is also noteworthy that the NE and CRF systems play a significant role in modulating inflammation (Feinstein et al., 2002; Heneka et al., 2002, 2015; Smith and Vale, 2006). CRFR1 is expressed in peripheral organs including the skin, reproductive organs, adrenal medulla, enteric nervous system, macrophages, mast cells (Cao et al., 2005), T- and B-cells of the inflammatory system as well as epithelial and endothelial cells (Lichlyter et al., 2022). During acute responses to stress, CRFR1 signaling results in protective cell signaling cascades, and the suppression of inflammation, allowing the body to adapt to stressful situations while maintaining cell viability (Elliott-Hunt et al., 2002; Facci et al., 2003; Radulovic et al., 2003). On the other hand, conditions of chronic stress or long-term CRF signaling results in the induction of alternate signaling pathways, including that of protein kinase c (PKC) (Kiang et al., 1994; Dermitzaki et al., 2005; Lesscher et al., 2008). Sustained levels of high Ca2+ recruits calmodulin and increases PKC signaling, resulting in the release of reactive oxygen species (ROS), initiating inflammatory cascades and releasing calpains (Hayashi et al., 1999; Vosler et al., 2008) that induce cell death (Lichlyter et al., 2022; Figure 3).

FIGURE 3
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Figure 3. Convergence of chronic stress intracellular signaling with Aβ42 and hyperphosphorylated tau neuropathology. The noradrenergic and CRF systems are engaged during stress and may contribute to neuronal degeneration when sustained over long periods of time. Adrenergic and CRF receptors are known to shift APP processing toward the amyloidogenic pathway by influencing the activity of beta and gamma secretases, BACE1 and PSEN, respectively. Increased production and secretion of Ab42 results in increased production of the neurotoxic Ab42 oligomers, known to incite nitric oxide (NO), reactive oxygen species (ROS), lysosomal and endoplasmic reticulum (ER) stress. The beta-2 adrenergic receptor and CRF receptor 1 (CRFR1) are both G-protein coupled receptors that engage stimulatory alpha subunits. Activation of these receptors results in the activation of adenylyl cyclase (AC), increased production of cyclic adenosine monophosphate (c-AMP), and activation of the enzyme protein kinase A (PKA). PKA can activate GSK3b signaling, resulting in the phosphorylation of tau at Alzheimer’s relevant sites. PKA can also elicit intracellular calcium increases that result in the recruitment of the calcium modulatory kinase II (CaMKII). Sustained elevations in Ca2+ signaling, however, results in the activation of additional downstream cell signal cascades, exacerbating the production and release of NO, ROS, caspases, and cytochrome-c (Cyt-c) from mitochondria. Cumulatively, this results in decreased efficiency in clearing proteins from the cell, increased inflammation and signals that induce apoptosis, contributing to neuronal degeneration.

Significance of allostatic overload for neuronal injury and degeneration

Allostatic Overload, or chronically elevated levels of glucocorticoids, combined with sustained CRFR1 signaling and coordinated inflammatory responses, is sufficient to increase neuronal vulnerability to excitotoxicity, induce metabolic changes in ATP production, induce endoplasmic reticulum stress (Zhang et al., 2012), decrease efficiency of mitochondrial function, as well as lower the seizure threshold (Rosen et al., 1994; Maguire and Salpekar, 2013) and promote vascular dysfunction of the blood BBB (Lichlyter et al., 2022). Moreover, several preclinical studies on models of chronic or repeated stress have demonstrated that stress signaling contributes significantly to aberrant tau hyperphosphorylation and production of the plaque-forming 42-amino acid Aβ proteins (Aβ42). One of the earliest reports supporting this line of inquiry demonstrated a shift in APP processing toward the amyloidogenic pathway in naïve, middle-aged rats exposed to chronic stress and excessive glucocorticoid production (Catania et al., 2009). Repeated stress has also been shown to increase levels of pre-pathological phosphorylated tau protein (Rissman et al., 2012). Mice that are genetically altered to globally overexpress CRF demonstrate brain atrophy at 3–6 months of age and show hippocampal learning deficits by 9 months (Campbell et al., 2015a,b). The significance of these observations are further highlighted by biochemical analyses that show increased levels of phosphorylated GSK-3β, increased phosphorylation of tau at AD-relevant AT-8 and PHF-1 sites (Campbell et al., 2015a,b). Other studies utilizing this model have reported decreased levels of neurotrophic support and a shift away from growth factors and toward cellular energy expenditure (Le et al., 2016).

A recent neuroanatomical study from our group utilized a genetic model of chronic stress to investigate the impact of chronic stress on endogenous rodent amyloid beta peptide distribution within noradrenergic circuitry (Ross et al., 2019). The mice were genetically modified to conditionally overexpress CRF (CRF-OE) specifically in the forebrain with doxycycline administration in the chow (Ross et al., 2019). We elected to administer doxycycline to the genetically modified animals for 2 weeks during adulthood, thus increasing CRF expression in the forebrain for 14 days prior to sacrifice and subsequent neuroanatomical and biochemical analysis. While overall Aβ42 levels did not change between the two treatment conditions, as measured by enzyme linked immunoassay (ELISA), our ultrastructural studies show a significant redistribution in the LC. The male and female CRF-OE mice showed a greater prevalence of Aβ42 peptides in the cell bodies of the LC, compared to their genetically modified littermates that did not receive doxycycline treatment. Moreover, CRF-OE mice of both sexes displayed abnormal morphology of the lysosomal compartments responsible for clearing Aβ42 peptides. The pericytes, specialized cells that surround the BBB and regulate brain blood flow, of CRF-OE female mice were swollen and contained lipid-laden vacuoles. CRF-OE mice of both sexes exhibited LC neurons that were positively labeled for Aβ42 surrounded by greater amounts of glial fibrillary acidic protein (GFAP) immunoreactive processes (Ross et al., 2019). Taken together, our findings suggest that cellular mechanisms of homeostasis are dysregulated in the LC of CRF-OE mice. Interestingly, various rodent models of AD show similar lysosomal (Choi et al., 2013) and BBB abnormalities (Aliev et al., 2002), and have been found to parallel the pathology evident in human AD brains (Aliev et al., 2002; Nixon et al., 2005). Additionally, within the LC of CRF-OE male and female mice, we observed a positive correlation between CRFR1 expression and tau phosphorylation at an AD-relevant site (Ser396) (Ross et al., 2019). Taken together, the studies summarized in this section demonstrate that stress signaling alone has significant consequences for indices of neuronal injury and degeneration independently of age and/or AD genotypes (Figure 3).

Involvement of stress circuits in Alzheimer’s disease neuropathology

Postmortem evidence

Braak and colleagues have suggested that the LC is amongst the earliest brain regions involved in AD neuropathology (Braak and Del Tredici, 2011b). Supported with evidence that pretangle material is present in the LC before any other brain region, and that soluble, non-toxic pretangle material can be found in the LC as early as before puberty or young adulthood (Braak and Del Tredici, 2011a,b). Taken together with the abundance of NFTs in AD in postmortem brain tissue, it is hypothesized that tau dysregulation originates in the LC, and gradually builds and spreads throughout the brain during the prodromal period decades before symptoms of behavioral and cognitive impairment (Braak et al., 2011). For a more detailed discussion of the previously underappreciated role of the LC in AD neuropathology, we direct the reader to previously published reviews by our group and others (see Gannon et al., 2015; Ross et al., 2015; Giorgi et al., 2020). Postmortem studies display a dramatic increase of neuronal loss in the LC, most notably the rostral region (Beardmore et al., 2021).

The depletion of LC noradrenergic neurons elicits a compensatory response that involves the upregulation of β-ARs in the hippocampus and prefrontal cortex, as evident in human AD postmortem brains (Kalaria et al., 1989; Sanders et al., 2006). Further evidence for compensation comes from biochemical analysis of the remaining LC neurons, which exhibit increased mRNA expression of NE biosynthetic enzymes, increased dendritic branching of the peri-LC, and altered projections to the hippocampus (Szot et al., 2006). Increased indices of NE function such as these, would suggest a change in noradrenergic transmission. Some existing studies indicate that NE levels are dynamic with low and unaltered concentrations in human AD brain regions (Adolfsson et al., 1979; Matthews et al., 2002; Gannon and Wang, 2019). Others have shown that plasma NE levels are decreased in humans with dementia type AD and displayed a positive correlation with Mini Mental State Examination (MMSE) score in human AD (Umegaki et al., 2000; Pillet et al., 2020). While the collective data on NE transmission levels are inconsistent, there is a prevailing theory that the compensatory changes in LC neurons maintain NE function, and may even over-compensate for a time, but ultimately results in neuronal fatigue and reductions in NE transmission. These alterations can have profound effects on the function and integrity of stress circuitry (Szot et al., 2006; Liu et al., 2018).

As a central hub for peripheral and central stress responses, circadian rhythms and global neuroendocrine function, the hypothalamus is a key region within the stress integrative circuitry that is profoundly influenced by AD pathology. Early studies established that Aβ plaque staging is present in the hypothalamus defined as stage 3 of AD in humans (Thal et al., 2002). More recent postmortem studies have identified hypothalamic plaques with distinct epitope variation from β-amyloid precursor proteins (β-APPs) (Baloyannis et al., 2015). NFT are also found within the hypothalamus, although the exact mechanism of tau pathology in the hypothalamus is unknown (McDuff and Sumi, 1985; Saper and German, 1987; Braak and Braak, 1991a; Ishii and Iadecola, 2015). One theory of tau pathology in the hypothalamus stems from anterograde LC-transneuronal projections (Iba et al., 2015). There is a profound reduction in noradrenergic neurons about 53% in the hypothalamus in postmortem AD studies (Mann et al., 1980). The decreased NE levels in the hypothalamus of dementia type AD brains compared to normal robust NE concentrations in postmortem brains (Farley and Hornykiewicz, 1977). Considering that the LC provides the majority of NE innervation to the hypothalamus (Farley and Hornykiewicz, 1977), it is possible that LC degeneration plays a role in dysregulation of the hypothalamus in AD. These observations support a model in which early LC dysfunction and degeneration contribute to HPA axis dysregulation, resulting in a chronic stress syndrome characterized by a reduction of glucocorticoid negative feedback and increased levels of circulating glucocorticoids. Although the neuropathological origin of hypothalamic dysfunction requires further investigation, its impact on the integrity of the HPA axis are reflected in the clinical finding that glucocorticoids are elevated in AD patients, and that high glucocorticoid levels are associated with increased risk of AD (Pedrazzoli et al., 2019).

Preclinical evidence

The role of adrenergic receptors

NE serves a pivotal role in activating excitatory and inhibitory processes in the stress circuitry to maintain a homeostatic balance via α- and β- ARs (Hein, 2006). NE levels in the PFC play a major role in working memory and cognitive function. This is illustrated by the decline in spatial memory and reduction in NE concentration among rat models using an LC-selective neurotoxin (Sontag et al., 2008). In line with this, optimal NE levels in the PFC enhance working memory via presynaptic α1-AR. Notably, a reciprocal effect is seen when high stress-induced NE levels inhibit neuronal activity via postsynaptic α1-AR (Zhang et al., 2013). Cognitive impairment, expressed behaviorally as decreased open field exploration (Dvorkin et al., 2008), was shown in α1-AR subtype-b knockout mice exposed to stressful stimuli (Knauber and Muller, 2000). Dysregulation of the PFC cognition is improved with Betaxolol, a β1-AR antagonist, infused into the PFC of rats and administered systemically to monkeys (Ramos et al., 2005).

A complex relationship exists between AD neuropathological markers and adrenergic receptors in the PFC. Early studies identified α2-AR as contributors to age-related cognitive decline in the PFC (Arnsten and Goldman-Rakic, 1985). Moreover, it has been demonstrated that chronic treatment with the α-2AR antagonist fluparoxan, prevented age-related deficits in spatial working memory in APP/PS1 transgenic mice (Scullion et al., 2011). Mechanistically, α2aAR can regulate APP processing and Aβ production through an interaction with endocytic and secretory pathways (Chen et al., 2014). It has also been demonstrated that by interacting with α2aAR, Aβ oligomers can elicit the GSK3b/tau cascade (Zhang F. et al., 2020). In contrast, APP23 transgenic mice administered prazosin, an α1AR antagonist, sustained memory deficits while also displaying decreased Aβ concentration via APP processing in ELISA and Western blot analyses (Katsouri et al., 2013).

β2-AR activation by clenbuterol, a β2-AR selective agonist, infused into the PFC of rats and injected intraperitoneally in amyloid precursor protein/presenilin 1 (APP/PS1) mice improved PFC functioning in rats as well as hippocampal learning and memory (Ramos et al., 2008; Chai et al., 2016). According to Wu and colleagues, 6 month old female amyloid precursor protein/presenilin 1 double transgenic (APPswe/PS1dE9) mice chronically given a β2-AR selective antagonist (ICI 118,551, 1 mg/kg daily i.p. for 2 months) revealed a poor spatial learning compared to wild type mice in the Morris water maze and increased Aβ levels in the hippocampus via downregulation of α-secretase activity (Wu et al., 2017). On the contrary, there are earlier reports of elevated Aβ levels in APPswe/PS1dE9 derived cells exposed to chronic β2-AR agonist isoproterenol, via a cAMP-independent, endocytosis-dependent enhancement of γ-secretase activity (Ni et al., 2006). In vivo experiments reported in this study indicate that male and female APPswe/PS1dE9 mice (up to 5 months old) exposed to NE (icv 2 μg daily) or selective β2-AR agonist clenbuterol (2 mg/kg per day via cannulae) for 30 days exhibited increased cerebral Aβ plaques. Chronic administration of the β2-AR selective antagonist ICI 118,551 (1 mg/kg daily) ameliorated plaque pathology in APPswe/PS1dE9 mice (Ni et al., 2006). A third study demonstrates that hippocampal injections of β2-AR-selective agonist clenbuterol enhanced the production of acute stress-induced Aβ peptide production while the β2-AR-selective antagonist (ICI 118,551) reduced Aβ peptide production (Yu et al., 2011). In line with these results, the absence of β2-AR in APP/PS1 mice attenuated the pathogenesis of AD in the PFC (Wang et al., 2013). Overall, these studies have shown mixed results of β2-AR activation and inhibition on memory and synaptic plasticity and dendritic spine density in AD. These data obscure the therapeutic potential of directly targeting adrenergic receptors in AD, especially at later stages of disease. Nonetheless, the LC-NE system in AD neuropathology and the involvement of adrenergic receptors should be further investigated.

Contribution of locus coeruleus-norepinephrine-hypothalamic-pitu itary-adrenal axis interactions: The role of glucocorticoids and corticotropin releasing factor

The LC-NE circuitry exerts excitatory effects upon the HPA axis resulting in a downstream cascade of neurohormones and transmitters. Under chronic stress, there is increased noradrenergic tone and enhancement of the HPA axis activation. In contrast to the studies described in section “Significance of allostatic overload for neuronal injury and degeneration” this section will focus on studies that have combined AD models with behavioral paradigms of stress or genetic alterations that increase stress signaling. Interestingly, it has been reported that rodent models of AD have an intrinsic increase in central stress system drive as well as decreased negative feedback inhibition (Elgh et al., 2006; Hebda-Bauer et al., 2013). One report indicated that APP/hAβ/PS1 mice had an intrinsic increase in CRF expression in the PVN, hippocampus and amygdala (Guo et al., 2012). Thus, LC-NE-HPA dysregulation may be uniquely involved in activating the central drive and feeds into aberrant disease processes.

The sustained amplification of glucocorticoids and CRF are closely associated with amyloidogenic pathways and tauopathies (Catania et al., 2009). One study found a direct effect of glucocorticoids on the Aβ burden and tau pathology (Swinny and Valentino, 2006). It was also reported that the overactivation of the HPA axis can eventually increase the risk for developing senile plaques (Lesuis et al., 2018). Moreover, it has been demonstrated that increased glucocorticoid levels induce Aβ deposition and tauopathy within the hypothalamus in a rodent model of AD (Green et al., 2006). Researchers suggest that proteinopathy may play a role in positive feedback to further propagate glucocorticoid levels (Green et al., 2006). This sheds light on “the chicken or the egg” phenomenon between the concomitant relationship between elevated Aβ and tau deposition. According to De Souza and colleagues, there are low levels of CRF immunoreactivity in the cortex of postmortem human AD brains. This study found an inverse relationship between decreased CRF immunoreactivity and upregulated CRF receptors in AD (De Souza et al., 1986). Furthermore, the overexpression of CRF in AβPP+/CRF+/tTA+ transgenic mice revealed increased Aβ burden in the cortex and dendritic loss (Dong et al., 2012). This sets the precedence of CRF receptors type 1 in modulating the pathophysiology of AD.

Several preclinical studies have demonstrated that stress or increased CRF receptor 1 (CRFR1) signaling during stress contributes significantly to aberrant tau hyperphosphorylation and production of Aβ42, accelerating AD neuropathology (Kang et al., 2007; Dong et al., 2012). Studies that utilized the Tg2576 AD rodent model combined with isolation stress demonstrated that increased plasma corticosterone and glucocorticoid receptor levels were positively correlated with increased Aβ42 plaque deposition (Dong et al., 2004, 2008), as well as decreased hippocampal neurogenesis that corresponded with impaired contextual memory (Dong et al., 2004). Cognitive decline in this model could be rescued with the glucocorticoid antagonist RU486 (Lante et al., 2015). Overexpression of CRF in AβPP transgenic mice showed increased Aβ42 burden in the cortex as well as dendritic loss (Dong et al., 2012). In contrast, transgenic PSAPP mice crossed with mice null for CRFR1 (CRFR1-KO-PSAPP) had lower levels of Aβ40 and Aβ42, and decreased levels of AβPP C-terminal fragments compared to PSAPP mice. The concurrent finding that Insulin Degrading Enzyme, a metabolizing enzyme of Aβ peptides, was also decreased in this model led investigators to suspect that the CRFR1-dependent mechanism is based on production of Aβ peptides rather than clearance (Rissman et al., 2012). Further studies by this group examined the effects of CRFR1 activation, inhibition, or ablation on the phosphorylation of tau (tau-p), indicated that acute stress induced tau-p was transient and potentially important for neuroplastic adaptations to stress (Rissman et al., 2007). In contrast, tau-p induced by repeated stress or overexpression of CRF was present for extended periods after stress exposure, had a definable structure and was localized to detergent soluble cellular fractions (Rissman et al., 2012; Campbell et al., 2015a). Thus, tau-p induced by chronic stress via CRFR1 forms pre-pathological structures that may result in NFT formation over long periods of time (Figure 3).

Because CRF is a critical linking factor of LC-NE and HPA axis function, these data suggest that pharmacological targeting of CRF-R1 and other CRF-related targets may have therapeutic potential as an early stage intervention to halt the progression of AD pathology (Vandael and Gounko, 2019). Taken together, these studies indicate a bidirectional relationship in which stress circuitry is intrinsically dysregulated in AD rodent models and AD neuropathology is exacerbated by exposure to behavioral stress and/or augmented stress signaling (Figure 3 and Table 1).

TABLE 1
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Table 1. Influence of + stress/stress signaling.

The endocannabinoid system

Broad overview of the endocannabinoid system

The endocannabinoid system (eCB) is a complex network involved in maintaining homeostasis. It is composed of endogenous ligands, receptors, enzymes, and signaling molecules. The widely known endogenous endocannabinoids are arachidonoyl ethanolamide (AEA) and 2-arachidonoylglycerol (2-AG). The synthesis of AEA is carried out via N-acyltransferase (NAT) and N-acylphosphatidyl-ethanolamine-specific phospholipase D (NAPE-PLD); whereas 2-AG is facilitated via phospholipases C (PLC) and diacylglycerol lipases (DAGLs). AEA and 2-AG are inactivated by enzymes fatty acid amide hydrolase (FAAH) and monoacylglycerol lipase (MAGL), respectively. Ultimately, endocannabinoid signaling is primarily relayed through endocannabinoid receptors that are composed of G protein coupled receptors (GPCRs). Cannabinoid 1 receptors (CB1r) are psychoactive receptors typically found in the brain with some present in the periphery. CB1r are primarily associated with neurons and microglia and are involved in modulating memory, cognition, emotion, and motor coordination. CB2r are also located in the brain, particularly under conditions of disease, but are better known as the endocannabinoid receptor of peripheral tissue. AEA is a partial agonist with a stronger affinity at cannabinoid 1 receptor (CB1r) than cannabinoid 2 receptor (CB2r), and 2-AG is a full agonist at both CB1r and CB2r (Mackie et al., 1993; Savinainen et al., 2001; Howlett et al., 2002). 2-AG is present an overall greater proportion than AEA throughout the whole brain (Zou and Kumar, 2018). Specifically, there exists a higher quantification of 2-AG levels in the PFC, hippocampus, limbic structures, and hypothalamus compared to AEA concentrations in these regions (Buczynski and Parsons, 2010).

Pharmacological tools used in cannabinoid research

A number of pharmacological tools exist that have facilitated research on the endogenous cannabinoid system as well as in the investigation of exogenous cannabis effects. The synthetic cannabinoid WIN-55,212-2 is a potent non-selective agonist that acts at both CB1r and CB2r. CBD is a naturally occurring non-selective weak agonist at both CB1 and CB2 receptors. However, recent studies indicate that CBD action is better understood as a negative allosteric modulator of CB1 that can antagonize the effects of THC and/or AEA (Laprairie et al., 2015). Moreover, CBD has been shown to inhibit FAAH activity (De Petrocellis et al., 2011). JWH-133 is a synthetic CB2r selective agonist, while Arachidonyl-2′-chloroethylamide (ACEA) is a synthetic CB1r selective agonist. In pre-clinical and clinical studies an indirect approach to increase eCBs has predominated due to the unwanted biphasic and psychoactive effects of targeting CB1r directly with (high potency) THC. We direct the reader to an excellent recent review on the pre-clinically and clinically observed effects of indirectly acting cannabinoid drugs (Paredes-Ruiz et al., 2021). In the remainder of this section, we will briefly discuss the most recent findings on the most widely used agents.

Compounds that inhibit the 2-AG degrading enzyme, MAGL, effectively increase levels of 2-AG while FAAH-inhibitors increase endogenous levels of AEA. A commonly used FAAH-inhibitor, URB597, has been shown to improve inflammatory and pain conditions in several models of neurodegeneration, as well as a wide variety of central nervous system disorders that include stress, migrane and depression (Paredes-Ruiz et al., 2021). However, URB597 has also been reported to have no effect on indices of inflammation and cognitive deficit as measured by the Morris water maze test in 5xFAD mice (Vazquez et al., 2015). Interestingly, the same study demonstrated significant beneficial effects on 5xFAD inflammation and cognition by genetically ablating FAAH, supporting the idea that pharmaceutical and genetic manipulation of FAAH have differential effects (Vazquez et al., 2015). Despite inconsistencies in the literature, and one clinical trial with an off-target drug effect related devastating outcome (Kerbrat et al., 2016), FAAH inhibitors are thought to hold the most therapeutic potential and are currently in development by several pharmaceutical companies. Currently in the clinic, PF-04457845 has demonstrated efficacy in reducing symptoms of Cannabis withdrawal (D’Souza et al., 2019), and in reducing stress responses by increasing AEA (Mayo et al., 2020), and has significant promise for the treatment of post-traumatic stress disorder (PTSD) (Mayo et al., 2022). While FAAH inhibitors have potentially broad ranging applications, MAGL inhibitors are thought to be more relevant for inflammatory conditions. One of the most studied MAGL inhibitors, JZL184, has been shown to decrease the reactivity of glial cells while concurrently reducing the production of pro-inflammatory mediators in several models in neurodegenerative disease, though none immediately pertinent to AD (Paredes-Ruiz et al., 2021).

A variety of endocannabinoid reuptake inhibitors (eCBRIs) also exist that prevent the releasing neuron from reabsorbing eCBs by preventing membrane transport, thereby increasing levels of eCBs in the synaptic cleft and prolonging endogenous cannabinoid action (Chicca et al., 2017). One of the most promising eCBRIs, N-(3,4-dimethoxyphenyl) ethyl amide (WOBE437), irreversibly blocks membrane transport of AEA and 2-AG, increasing extracellular levels of both endogenous cannabinoids without effecting any other N-acylethanolamines (NAEs). In vivo, WOBE437 elicits cannabinoid receptor dependent analgesia as well as reductions in inflammation resulting from LPS challenge. WOBE437 also attenuated anxiety behaviors when injected directly into the BLA (Chicca et al., 2017). WOBE437 was found to be orally bioavailable in the brain and exerted anti-inflammatory effects via CB1r (Rock et al., 2015), CB2r (Reynoso-Moreno et al., 2017) and PPARγ receptors (Rockwell et al., 2006). Moreover, WOBE437 was found to reduce disease progression in a model of multiple sclerosis (Reynoso-Moreno et al., 2021). However, another group working with WOBE437 recently reported off-target interactions as well as the surprising finding that WOBE437 increased AEA uptake by interacting with NAEs (Gagestein et al., 2022). The source of these inconsistencies is not clear.

Unique features of cannabinoid signaling and neuronal excitability

Cannabinoid modulation of neuronal excitability and synaptic activity is a functional component of the stress-buffering system that is heavily reliant on transcellular and intracellular signaling. Depolarization induced suppression of inhibition (DSI) of GABAergic terminals and depolarization induced suppression of excitation (DSE) of glutamatergic terminals are key mechanisms of cannabinoid mediated synaptic plasticity (Diana and Marty, 2004) that have significant functional implications for stress circuitry. For example, 2-AG mediated DSE of a glutamatergic hippocampal projection to the BLA in a model of traumatic stress was demonstrated using a combined approach of optogenetics and ex vivo electrophysiology (Bluett et al., 2017). Depolarization and consequent rise in intracellular calcium levels results in the post-synaptic release of 2-AG, which retrogradely travels across the synaptic cleft to activate CB1R on presynaptic terminals, ultimately inhibiting the release of neurotransmitter (glutamate in the case of DSE and GABA in the case of DSI) (Diana and Marty, 2004). Thus, cannabinoids have the unique ability to regulate pre-synaptic neurotransmitter release in an activity-dependent manner. On the other hand, conventional synaptic transmission of cannabinoids is thought to occur primarily via presynaptic release of AEA and postsynaptic receptor binding at projection sites (Castillo et al., 2012; Zou and Kumar, 2018). In both scenarios, pre- or post-synaptic CB1R activation signal through the Gαi subunit of the heterotrimeric G-proteins, effectively decreasing adenylyl cyclase production and cAMP levels.

Cannabinoid-mediated effects on stress circuitry

Neuroanatomical perspective: The endocannabinoid system is anatomically positioned to modulate stress circuitry

Coeruleo-cortical circuit

Findings from our research group and others provide compelling evidence that the eCB system may serve to modulate the LC-NE system to maintain an optimal level of activity. It has been established by many research groups that low tonic-low phasic firing of LC-NE neurons results in cognitive disengagement while high tonic-low phasic firing results in hyperarousal and difficulty sustaining attention on a given task. The optimal LC discharge rate for focused attention is in between the two, where phasic and coupled firing occurs (Berridge and Waterhouse, 2003).

The eCB system may regulate discharge rate locally within or near LC neurons. Evidence for tonic eCB production in the LC exists, as sole application of a CB1r antagonist is capable of decreasing LC-NE activity (Muntoni et al., 2006; Carvalho and Van Bockstaele, 2012). When LC-NE neurons are excited via bath application of potassium chloride (KCl), CB1r agonist pre-treatment can attenuate the KCl-induced increases in LC-NE firing (Mendiguren and Pineda, 2007), suggesting that the eCB system might function to prevent over-activation of LC-NE neurons. We have also demonstrated that, in the LC, CB1r are localized to glutamatergic, GABAergic and CRF presynaptic axon terminals that synapse with LC neurons (Wyrofsky et al., 2017). Thus, LC neurons may be substrates of DSI and DSE cannabinoid mechanisms of action. In addition, we provided ultrastructural evidence that CB1r is localized post-synaptically in somatodendritic processes of LC cells (Scavone et al., 2010). The presence of CB1r on LC-NE neurons is functional, as indicated by our electrophysiological studies, as well as that of other research groups, showing that CB1r agonists and FAAH inhibitors increase the basal firing rate of LC-NE cells, c-Fos expression of LC neurons, and NE efflux in the mPFC (Gobbi et al., 2005; Oropeza et al., 2005; Mendiguren and Pineda, 2006; Muntoni et al., 2006; Page et al., 2008).

Cannabinoid-mediated regulation of noradrenergic cells in the PFC is complex and multifaceted. Anatomically, CB1r is positioned at mPFC axon terminals of noradrenergic neurons and abundantly located in the infralimbic mPFC (Oropeza et al., 2007). Moreover, our lab identified a predominant population of excitatory synapses with both CB1r and α2AR localized at axon terminals in this region (Reyes et al., 2017). Thus, noradrenergic terminals of the mPFC contain two substrates for synaptic regulation that are informed by levels of NE (via α2AR autoregulation) and post-synaptic activity (via CB1r). To this point, we have reported that 2-AG is capable of retrogradely binding CB1r on presynaptic noradrenergic neurons to affect NE efflux. CB1r activation or inhibition could facilitate or inhibit NE efflux upon administration of a CB1r agonist and/or CB1r antagonist in an activity dependent manner (Oropeza et al., 2005; Page et al., 2008). Further, we have defined the anatomical substrates for this complex interaction between cortical noradrenergic neurons and neurons that produce 2-AG in the cortex via triple labeling of CB1r + DβH + DAGL-α (Reyes et al., 2015).

The role of the amygdala and the hypothalamic-pitu itary-adrenal axis

Cannabinoids are key modulators of the central stress response. As previously mentioned, CB1r can modulate the activation of the LC-NE system via CRF signaling in the HPA axis. Interestingly, glucocorticoid release within the PVN heightens CB1r signaling to attenuate CRF-secreting neurons (Evanson et al., 2010). Our lab has characterized CRF-projecting neurons from the central nucleus of the amygdala (CeA) colocalized with CB1r and either excitatory or inhibitory synapses within the rostrolateral peri-LC using immunofluorescence and electron microscopy (Wyrofsky et al., 2017). The rostrolateral peri-LC is relevant to AD neuropathology because AD postmortem studies indicate a majority of LC neuronal loss occur in this region (Beardmore et al., 2021). Based on a series of neuroanatomical and biochemical experiments, we have put forth the idea that CB1r is strategically localized to presynaptic terminals of CRF-containing neurons that arise in the amygdala as a mechanism of regulating input from the amygdala to the LC. As reported by Wyrofsky and colleagues, the peri-LC contains a majority of excitatory synapses, while the core LC possesses mostly inhibitory synapses. This supports the idea that amygdalar CRF afferents are modulated by the eCB system to adapt to emotional stimuli during the stress response (Figure 1B).

While a central focus of research on the effect of conditioned emotive stimuli within the limbic system has been dedicated to the CeA, it may also be important to consider the basolateral amygdala (BLA). The LC-BLA circuitry is involved in retrieval, consolidation, and extinction of memory. These functions can become disrupted by CeA-mediated regulation of the BLA during chronic stress (Roozendaal et al., 2002; Hollis et al., 2016). Bedse and colleagues report a predominance of CB1r on cholecystokin (CCK)-positive GABAergic interneurons in the BLA. The inhibition of the BLA via CCK-positive GABAergic interneurons may be able to restore homeostatic LC tone by inhibiting CeA projections to the LC. In effect, this would silence HPA hyperactivation and halt the propagation of BLA excitability in a state of allostatic overload (Bedse et al., 2015; Figure 2A).

Multiple substrates of the eCB system are effective inhibitors of stress related activity in the amygdala. Pharmacological studies demonstrated the suppression of corticosterone induced HPA axis activity via FAAH inhibitors in the BLA. Under acute stress, FAAH activity is upregulated and AEA levels are decreased, enabling the activation of the HPA axis (Hill et al., 2009). The transient stress induced AEA levels in the amygdala plays an important role in balancing AEA signaling (Hill et al., 2010), and suggests that AEA tonically inhibits BLA activity in the absence of stressors (Hill et al., 2011b). Additionally, CB1r signaling in the BLA helps to attenuate the HPA axis. CB1r agonist HU-210 administered in the BLA dramatically lowered corticosterone levels in rats (Hill and Gorzalka, 2006; Hill and McEwen, 2009; McLaughlin et al., 2009). It is noteworthy that the endogenous endocannabinoids effect within different brain regions slightly differs in mice models (Patel et al., 2005; Rademacher et al., 2008). There seems to be distinct species differences concerning endocannabinoid representation between mice and rat models. The differences may be attributed to the variability in cannabinoid receptor isoform expression and splicing and disparities in conserved cannabinoid receptor genes (Griffin et al., 2000; Zhang et al., 2015). In addition, some scientists believe that the disparities could be due to the unnoticeable, transient endocannabinoid levels which may oscillate during the stress restraint intervals (Gorzalka et al., 2008).

Cannabinoids counteract the deleterious effects of stress in Alzheimer’s disease

Leveraging endocannabinoid neuroanatomy to protect stress-responsive circuits

The synchronous firing of neurons is critical for learning and memory processes (Jutras and Buffalo, 2010), and is significantly disturbed in AD models with increased production of Aβ and in humans with AD (Palop and Mucke, 2010a,b). These abnormal patterns of neuronal activity are observed as epileptiform activity in EEG recordings (Palop et al., 2007). Further investigation of individual neurons with high levels of Aβ and within abnormally firing circuits are either hyperactive or hypoactive relative to the intermediate activity of healthy neuronal controls (Busche et al., 2008). It has also been demonstrated that chronic neuronal hyperactivity is a driving force in Aβ accumulation (Yamamoto et al., 2015). Our research group has put forth the hypothesis that the aberrant activation of LC neurons during chronic stress in mid-late stages of life may render the brain more vulnerable to Aβ accumulation and senile plaque deposition, with consequent functional deficits in neuronal synchronization (Figure 5). As previously discussed, the eCB system is anatomically poised to modulate local activity of LC neurons by CB1r-mediated control of presynaptic glutamate, GABA or CRF release. Importantly, we also have described activity-dependent CB1r-mediated control of NE release from terminals in the widespread projection areas of the LC, including the PFC. To this point, it has been demonstrated that bilateral injection of selective CB1r agonist ACEA with Aβ prevented Aβ induced changes in evoked neuronal activity. Aβ administration alone reduced neuronal activity, an effect that was restored by cortical ACEA injection. Moreover, cortical ACEA injection rescued memory to baseline after the bilateral administration of Aβ peptides into the PFC of adult rats (Haghani et al., 2012).

FIGURE 4
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Figure 4. Cannabinoids Prevent Hyper-Activation of Stress-Integrative Circuitry, Protecting Cortical Network Integrity, Reducing Cellular Stress, Inflammation, Reduce Behavioral Symptoms and Improve Cognitive Function. (A) Cannabinoid-induced reversal of stress-induced dendritic retraction in cortical areas. (B) Cannabinoid-mediated engagement/activation of GABAergic interneurons of the BLA- reduces central drive to the CeA. (C) Cannabinoid-mediated reduction in central drive of the CeA results in downstream reductions in excitatory input to LC neurons, protecting them from consequences of hyperactivation. (D) Cannabinoids (including CBD) protect neurons from (D) Alzheimer’s Neuropathology Neuropathology, and (E) excitotoxicity and/or hyperactivity via Gαi signaling (D,E) are depicted in greater detail in Figure 6.

FIGURE 5
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Figure 5. We hypothesize that aberrant activation of LC neurons during chronic stress in mid-late stages of life may render the brain more vulnerable to Aβ accumulation and senile plaque deposition. Further we hypothesize that endogenous cannabinoid compensation occurs in response to LC-NE system dysregulation preceding and after the onset of LC neurodegeneration. Clinical postmortem data show that between the prodromal (preclinical; Braak Stages I,II) and mild cognitive impairment (Braak stages III-IV) there is a 30% decrease in rostral LC volume (Theofilas et al., 2017). Remaining LC neurons compensate for neuronal loss by increasing NE production and transmission (Szot et al., 2006). Human AD brains in Braak Stages III, IV show increased CB1 activity in hippocampal and inner frontal cortical layers (Manuel et al., 2014). By the time disease progression reaches Braak stages V, VI there is human postmortem evidence for the upregulation of ARs in the PFC and hippocampus, thus suggesting that LC degeneration is causing decreases in NE transmission at this point (Kalaria et al., 1989). The loss of NE tone is supported by studies that have reported decreased concentrations of NE in the hypothalamus, cingulate, putamen and raphe nuclei (Mann et al., 1980; Arai et al., 1984). Further, during Braak stages V, VI, it has been shown that CB1r levels are decreased from their elevated state, returning to baseline levels (Manuel et al., 2014).

FIGURE 6
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Figure 6. Cannabinoids counteract AD neuropathology exacerbated by stress. In direct opposition to (chronic) stress-responsive intracellular signaling cascades such as those downstream of the adrenergic receptors (ARs) or CRFR1, Cannabinoids inhibit cell signaling cascades that promote neuronal cell death. A major effector engaged by cannabidiol (CBD) exposure is the Wnt/β-catenin pathway. By binding its cognate receptor and co-receptor, Wnt increases the level of stable intracellular β-catenin proteins. β-catenin then goes on to inhibit GSK3β, the enzyme responsible for the upregulation of tau-phosphorylation, inhibit the beta-secretase (BACE-1), and promote the neuroprotective alpha-secretase cleavage of APP (not depicted here). Moreover, activation of CB1 receptors (CB1R) can counteract excessive stimulatory G-alpha subunit signaling by inhibiting adenylyl cyclase (AC) activity. By engaging the mitogen activated protein kinase (MAPK) and Akt pathways, CB1R signaling instead promotes the production and release of protective, cell survival factors.

Cognitive deficits observed in stress-related disorders including AD, arise from PFC dysfunction. As a crucial component of the cortico-limbic neurocircuitry, the mPFC has extensive downstream projections to regions as diverse as the amygdala and the brainstem (Sesack et al., 1989), providing a mechanism of executive top-down regulation of autonomic and neuroendocrine balance (Thayer and Brosschot, 2005), with influences on parasympathetic (Thayer and Sternberg, 2006) and HPA activity (Diorio et al., 1993). Of particular importance, are the excitatory projections from the mPFC that synapse onto gamma-aminobutyric acid (GABA)ergic interneurons of the basolateral amygdala (BLA), which suppress the output of central nucleus of the amygdala (CeA) neurons. This has significant implications, because in the absence of top-down modulation from the mPFC, hyperactivation of the CeA may result in increased LC neuronal activity and NE secretion, creating a vicious cycle of enhanced emotional and cognitive limbic excitability and reduced cortical control of those circuits (Ross et al., 2018). During the stress response, there is an upregulation of endocannabinoid signaling associated with the presence of glucocorticoids in both in vitro and in vivo studies (Di et al., 2003; Coddington et al., 2007; Hill and McEwen, 2009; Hill et al., 2010). Electron microscopy studies revealed a predominant presence of CB1r localized on GABAergic terminals adjacent to calcium/calmodulin-dependent kinase II-immunolabeled pyramidal neurons in the prelimbic mPFC (Hill et al., 2011b). Thus, the activation of CB1r are strategic in suppressing GABA secretion at the terminus while disinhibiting principal projection neurons in the prelimbic mPFC (Chiu et al., 2010). This ultimately leads to an attenuation of the HPA axis (Hill et al., 2011b; Figure 4).

It is possible, though somewhat speculative, that endogenous cannabinoid compensation occurs in response to LC-NE system dysregulation preceding and after the onset of LC neurodegeneration (Figure 5). The available literature that supports this idea primarily comes from AD postmortem brain tissue analyses that have stratified samples based on Braak staging. Using stereotaxic automated microscopy to assess postmortem AD brain tissue, it was discovered that between the prodromal (preclinical; Braak Stages I, II) and mild cognitive impairment (Braak stages III-IV) there is a 30% decrease in rostral LC volume (Theofilas et al., 2017). At this time, it has been demonstrated that the remaining LC neurons compensate for neuronal loss by increasing NE production and transmission (Szot et al., 2006). Human AD brains in Braak Stages III, IV show increased CB1 activity in hippocampal and inner frontal cortical layers (Manuel et al., 2014). Preclinical studies from our lab using the selective LC-neurotoxin DSP-4 to induce LC degeneration indicate increased indices of eCB activity. These included increases in DGL-a, MAGL and FAAH expression levels in the PFC of male rats (Urquhart et al., 2019). By the time disease progression reaches Braak stages V, VI there is human postmortem evidence for the upregulation of ARs in the PFC and hippocampus, thus suggesting that LC degeneration is causing decreases in NE transmission at this point (Kalaria et al., 1989). The loss of NE tone is supported by studies that have reported decreased concentrations of NE in the hypothalamus, cingulate, putamen and raphe nuclei (Mann et al., 1980; Arai et al., 1984). Further, during Braak stages V, VI, it has been shown that CB1r levels are decreased from their elevated state, returning to baseline levels (Manuel et al., 2014). While our hypothesis would be difficult to test directly, there is preclinical evidence that supports the use of cannabinoid interventions in early stages of disease. For example, AβPP/PS1 rodents chronically treated with CBD (50 mg/kg; daily for 3 weeks) showed reduced levels of soluble Aβ40 in the hippocampus and restored learning and memory in social and spatial memory assessments (Watt et al., 2020). Another study utilizing AβPP/PS1 demonstrated that chronic combined treatment with CBD and THC at early symptomatic stages reduced cortical Aβ42 levels and altered plaque composition, resulting in preserved memory function (Aso et al., 2015; Tables 2, 3).

TABLE 2
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Table 2. Influence of CBD/THC or non-selective agonists on neuropathology in AD transgenic rodent models.

TABLE 3
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Table 3. Influence of CBD/THC on in vitro/non-ad models of Alzheimer’s disease-related neuropathology.

Targeting cannabinoid cell signaling to preserve cell viability in vulnerable stress responsive nuclei

Alongside the normally fluctuating and reversable influence of glucocorticoid-mediated changes in mPFC dendritic spine density, we have proposed that chronic stress results in the production and accumulation of Aβ in the PFC, initiating mechanisms of post synaptic depression (Ross et al., 2018; Figure 2). Over time, and with aging, the combined effect of reduced neuronal resilience to stress- and glucocorticoid-mediated changes in PFC structure and plasticity, and the accumulation of Aβ, with subsequent development of senile plaques and neurofibrillary tangles has synergistic potential for cognitive decline. In line with this rationale and that of the previous section on circuitry, a collective inhibition or down-regulation of activity in the mPFC and concurrent increase in activity of the amygdala may serve as a mechanism by which the modulation and organization of stress integrative circuitry is altered under conditions of chronic stress. In this section, we delve deeper into mechanisms of synaptic plasticity, focusing on the cell signaling mechanisms that foster or inhibit dendrite growth and complexity. Further, we compare the cell signaling pathways of stress mediators with those of the cannabinoid system to better understand the therapeutic potential of cannabinoids in counteracting the deleterious effects of stress in AD (Figures 4, 6).

Preclinical studies using the chronic restraint stress paradigm for 21 days demonstrated regionally specific functional and structural changes in the PFC, amygdala, and hippocampus (McEwen and Gianaros, 2011). Several studies have demonstrated that chronic stress results in a reduction (Cook and Wellman, 2004; Radley et al., 2004; Goldwater et al., 2009) or loss of apical dendritic spine length in pyramidal neurons of the mPFC (Hill et al., 2011b; McEwen and Morrison, 2013). Pyramidal neurons in layer III of the infralimbic, prelimbic, and cingulate cortices are reduced by 20% an effect downstream of protein kinase C (PKC) signaling (Hains et al., 2009). This dendritic shrinkage was accompanied by spine over 30% spine loss, which were primarily thin spines that are known to be involved in plasticity and cognitive performance, following chronic stress (Bloss et al., 2011). While dendritic spines of the mPFC are reduced following chronic stress (Wellman, 2001; Cook and Wellman, 2004; Radley et al., 2004, 2006b; Cerqueira et al., 2005, 2007a,b), it has been demonstrated that dendritic spines in the amygdala grow longer and more complex (Vyas et al., 2006). Moreover, studies of repeated stress in rodents have shown hyper-excitability of BLA neurons (Shekhar et al., 2005; Vyas et al., 2006). Thus, it is possible that the hyperactivation of the BLA afferents to the PFC weaken cognitive function, effectively shifting to increased amygdalar processing in AD (McLaughlin et al., 2009; Figure 2). Several preclinical studies indicate therapeutic potential for cannabinoids in treating stress-induced PFC dysfunction (Tables 25). For example, CB1r knockout mice exposed to chronic restraint stress exhibit enhanced dendritic arborization in the BLA and concurrent reciprocal dendritic shrinkage in the PFC (Hill et al., 2011a). Conversely, FAAH knockout mice were found to have elevated dendritic arborization of BLA neurons, thought to arise from AEA signaling (Hill et al., 2013; Tables 4, 5). A study using FAAH inhibitors in the PFC revealed an increase in PFC dendrite volume (Hermes et al., 2018).

TABLE 4
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Table 4. Distinct contributions of CB1R or CB2R on stress and neuropathology in AD transgenic rodent models.

TABLE 5
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Table 5. Distinct contributions of CB1R or CB2R on in vitro/non-AD models of Alzheimer’s disease-related neuropathology.

As discussed earlier, studies using CRF OE mice show increased levels of tau-p at the AD relevant AT8, PHF-1 and S422 sites compared with wild type littermates. The effects at the AT8 and PHF-1 sites were found to be CRFR1 dependent, as chronic treatment for 30 days with a selective CRFR1 antagonist (30 days; R121919), completely prevented the rise in hyperphosphorylated tau (Figure 3). CRF OE rodents broadly show increased levels of phosphorylated GSK-3β, mitogen-activated protein kinases (MAPK) p38, and extracellular signal-regulated kinase (ERK)1/2. Levels of cyclin-dependent kinase 5 (cdk5) were unchanged in CRF OE mice regardless of treatment with R12919. However, the only cell signaling pathway found to be CRFR1 dependent was that of the c-Jun N- terminal kinase (JNK) indicating that the induction of tau-p via JNK activation is central to tau-p at the AT8 and PHF-1 sites in CRF OE (Campbell et al., 2015a,b). This holds additional significance when considering the treatment potential of cannabinoids for the reversal of stress-related neuropathy as pretreatment of AβPP/PS1 mice with the selective CB2 agonist JWH-133 at early stages of disease reduced active p38, and JNK while increasing levels of inactive GSK3β in vivo (Aso et al., 2013) and in vitro (Wang et al., 2018), effects that are thought to be dependent on Wnt7a signaling (Ciani et al., 2011; Figure 6).

Harnessing cannabinoid influence on widespread neuroimmune responses

A recent meta-analysis indicates that markers of microglial activation are consistently elevated in postmortem brain tissue from AD patients compared to non-neurological age-matched controls (Hopperton et al., 2018). Several studies included a “high pathology” cohort of individuals that were cognitively normal (no impairment), but exhibited high levels of AD-related neuropathology. Markers of neuroinflammation were significantly higher in cognitively impaired AD patients compared to their high pathology counterparts (Hopperton et al., 2018). These data support the increasingly recognized notion that inflammation is a driving factor of AD progression, rather than a mere side effect of neurodegenerative processes (Gomez-Nicola and Boche, 2015).

In addition to playing a central role in mediating and coordinating stress responses, the LC-NE system plays a supportive role in modulating neuroinflammation (Heneka et al., 2015; Ross et al., 2015). It has been suggested that LC neuronal loss and consequent changes in NE transmission render the brain more vulnerable to inflammatory insults. Moreover, LC-NE depletion can contribute to increased Aβ plaque burden (Kalinin et al., 2007). In this regard, the timing of an effective intervention will be critical to preserving LC-NE system integrity, thereby reducing the negative inflammatory and degenerative sequalae that follow LC neuronal injury. Figure 7 depicts the time course of the 5xFAD model of AD in terms of its well-characterized AD pathology (Oakley et al., 2006), LC-NE modulation of inflammation, LC degeneration (Kalinin et al., 2012), and the development of degeneration-associated microglial (DAM) phenotypes that have been defined by single-cell RNA polymerase experiments (Keren-Shaul et al., 2017; Mathys et al., 2017). 5xFAD mice develop cerebral amyloid plaques and gliosis by 2 months, exhibit reduced synaptic markers, neuronal loss and memory impairment by 4 months, and continue to accumulate extra- and intraneuronal Aβ42 well into the range of 2–10 ng per mg total protein between 12 and 16 months of age (Oakley et al., 2006). The investigation of the LC-NE system in the first 3 months of 5x FAD mice reveal that while intact, the LC-NE system acts in a neuroprotective manner against the growing Aβ42 burden by increasing protein expression of the 70 kilodalton heat shock protein 70 (hsp70), reducing nitric oxide synthase (NOS) expression and increasing the expression of CCL2, also known as MCP-1 (Heneka et al., 2003). Other studies have indicated that by 3 months 5xFAD mice show a significant increase in CB2r (Lopez et al., 2018). By 5 months there is significant evidence of LC damage and inflammation (Kalinin et al., 2012), and 1 month of treatment with the synthetic NE precursor, L-DOPS, reduces amyloid burnden, astrocyte activation, and increased the expression of neurotrophins including BDNF, ultimately improving performance on the Morris water maze test (Kalinin et al., 2012). Around this time (6 months), other studies have demonstrated a shift in microglia phenotype from a homeostatic or early response state to an intermediate response state, and this transition is defined by the upregulation of AD-associated genes (B2m,Ctsd,Ctsb, Fth1, Tyrobp and apoe) and concurrent downregulation of the homeostatic CxCL1, P2ry12/P2ry13, and Tmem119 genes (Keren-Shaul et al., 2017). Upon LPS or Aβ42 challenge, NE exposure has been shown to promote microglial activation, indicated by a reduction in homeostatic gene expression (Cx3CL1, CCL7, CCL12, and CxCL16), activation of the PPARγ pathway (Klotz et al., 2003), and inhibition of NFκβ and its downstream proinflammatory targets (Heneka et al., 2015). While Keren-Shaul and colleagues did not identify the factor that led to this initial transition, termed step 1 in their framework, it is an intriguing parallel that warrants further investigation.

FIGURE 7
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Figure 7. Inflammatory progression in 5xFAD AD mouse model and beneficial effects of cannabinoids. The time course of neuropathology and inflammation in the 5xFAD model of AD LC-NE modulation of inflammation, LC degeneration, and the development of degeneration-associated microglial (DAM) phenotypes that have been defined by single-cell RNA polymerase experiments. 5xFAD mice develop cerebral amyloid plaques and gliosis by 2 months, exhibit reduced synaptic markers, neuronal loss and memory impairment by 4 months, and continue to accumulate extra- and intraneuronal Aβ42 between 12 and 16 months of age. While intact, the LC-NE system is neuroprotective. NE mediates an increase in protein expression of the 70 kilodalton heat shock protein 70 (hsp70), and a reduction of nitric oxide synthase (NOS). By 3 months, 5xFAD mice show a significant increase in CB2r (Panel 1, left). By 5 months there is significant evidence of LC damage and inflammation. At 6 months, studies have demonstrated a shift in microglia phenotype from a homeostatic or early response state to an intermediate response state, and this transition is defined by the upregulation of AD-associated genes (B2m,Ctsd,Ctsb, Fth1, Tyrobp and apoe) and concurrent downregulation of the homeostatic CxCL1, P2ry12/P2ry13, and Tmem119 genes (Panel 2, center). 5xFAD mice show intrinsically decreased CB1r, decreased MAGL, increased DAGL and increased CB2r expression at 11 months. Studies evaluating microglial phenotypes in 5xFAD mice at 8 months show a distinct, TREM-2 dependent transition to the late response state known as DAM. The DAM phenotype is characterized by an increase in AD associated genes such as Lpl, apoe, and the TREM2-Tyrobp signaling complex. Importantly, a recent study demonstrates that in the 5xFAD model, CBD could improve the behavioral and cognitive function of AD mice by modulating the expression of IL-5 (Khodadadi et al., 2021). Other mechanisms of CBD + THC mediated protection include the reduction of inflammatory cytokines, promoting autophagy and microglial phagocytosis of amyloid plaques and maintaining blood brain barrier integrity by preventing leukocyte extravasion (Panel 3, right).

It is under conditions of extreme cellular stress such as these, modeled in other studies using LC-selective pharmacological lesions, that promotes the onset of LC degeneration, ultimately resulting in the loss of NE neuroprotective influence over inflammatory processes (Heneka et al., 2015). As mentioned earlier, our lab has shown increased indices of endogenous cannabinoid function in the cortex under conditions of LC degeneration and 70% loss of NE tone. We observed increased protein expression of FAAH, MGL, and DGL, suggesting increased turnover of 2-AG and possibly an increase or extension of AEA activity. The only study examining the intrinsic ECB system of 5xFAD mice show decreased CB1r, decreased MAGL, increased DAGL and increased CB2r expression at 11 months. Thus, based on the available data, it cannot be definitely stated if the ECB system compensates for loss of neuroprotective NE immunomodulation at this critical window (6 months). Studies evaluating microglial phenotypes in 5xFAD mice at 8 months show a distinct, TREM-2 dependent transition to the late response state known as DAM (Keren-Shaul et al., 2017). The DAM phenotype is characterized by an increase in AD associated genes such as Lpl, apoe, and the TREM2-Tyrobp signaling complex (Keren-Shaul et al., 2017). Importantly, a recent study demonstrates that in the 5xFAD model, CBD could improve the behavioral and cognitive function of AD mice by modulating the expression of IL-5 (Khodadadi et al., 2021). In contrast, THC administration in 5xFAD mice at 4 months old, induced COX-2 activation, resulting in synaptic and memory impairments. The neuroprotective effects of THC could be rescued by COX-2 inhibition (Chen et al., 2013).

Several other genetically modified models of AD have been utilized widely for the study of cannabinoid and immune interactions in the context of well-established pathological features of AD. Amongst the most widely used, the AβPP/PS1 mouse line has been subjected to several cannabinoid modulating conditions (Aso et al., 2015, 2016, 2018) and drugs at various doses and time courses (Cheng et al., 2014; Aso et al., 2015, 2016; Aso and Ferrer, 2016; Watt et al., 2020; Hao and Feng, 2021; see Tables 2, 4). The beneficial effects of cannabis interventions, particularly chronic administration of combined THC + CBD, are evident as reduced Aβ42 plaque burden and altered composition, reduced inflammatory markers, gliosis (Aso et al., 2015), oxidative phosphorylation, downregulation of TNF pathways and upregulation of autophagy (Hao and Feng, 2021). Consequently, THC + CBD treatment of AbPP/PS1 mice has demonstrated the ability to preserve and reduce impairment of memory, as well as reverse social and novel object recognition deficits (Cheng et al., 2014; Aso et al., 2015; Watt et al., 2020). In vitro and in vivo models of Aβ42-induced neuronal injury, inflammation, and tau-phosphorylation have also been studied using cannabinoid agonists, demonstrating that CBD and other cannabinoid system modulators are capable of reversing these deleterious effects, preventing the induction of inflammatory cascades (Ramírez et al., 2005; Esposito et al., 2006a,b,c, 2007a,b, 2011; Haghani et al., 2012; Vallee et al., 2017; see Table 3) and protecting against excitotoxicity (van der Stelt et al., 2006; Mechoulam and Shohami, 2007).

The individual contributions of CB1r and CB2r in the context of AD neuropathology have also been extensively studied in AD transgenic mice (see Table 4), or conditions of Aβ42-induced pathology in vitro and in vivo (Esposito et al., 2006a,2007a,b; Haghani et al., 2012; Wang et al., 2018; Zhang R. et al., 2020; see Table 5), but the synergism of CB1r and CB2r activation (via THC) in the presence of a negative allostatic modulator (CBD) appears to demonstrate the most favorable therapeutic profile (Aso et al., 2015; Aso and Ferrer, 2016; Schubert et al., 2019). The therapeutic potential of targeting CB2r alone has been explored and may hold potential for earlier stages of intervention to facilitate Aβ42 clearance, as CB2r regulates inflammatory processes such as the release of cytokines and leukocyte extravasation (Ramirez et al., 2012; Cabanero et al., 2020). It is important to note that the presence of CB2r in the brain is typically indicative of brain injury or neurodegenerative disease (Donat et al., 2014; Braun et al., 2018), and postmortem AD brains express an abundance of CB2r. CB2 agonists facilitated the reduction of Aβ plaques in human AD brain tissue and in vivo macrophage phagocytosis of Aβ fibrils (Tolon et al., 2009). Treatment of the AβPP/PS1 rodent model with the selective CB2r agonist, JWH-133 at pre-symptomatic stages effectively reduced microglial reactivity, the expression of proinflammatory cytokines including IL-1β, IL-6, TNF-α, and IFNγ. The cell signaling modulators thought to be downstream of this CB2r mediated effect are GSK-3β, which was found to be present in lower amounts, reduced p38 and JNK pathways. Consequently, learning and memory was improved in JWH-133 treated AβPP/PS1 rodents (Aso et al., 2013). These CB2r-dependent effects were also observed in vitro alongside reduced phosphorylation of tau and GSK-3β activity and were abrogated in vivo in rodents null for CB2r (Wang et al., 2018). However, it has been demonstrated that a superior effect is obtained when using combined THC and CBD treatments at early symptomatic stages in the AβPP/PS1 model. Chronic THC + CBD treatment reduced astrogliosis and microgliosis, inflammatory markers (Aso et al., 2015), oxidative phosphorylation, TNF pathways and increased autophagy (Hao and Feng, 2021; Tables 25).

Human studies on the effects of psychological and life stress on the inflammatory response have identified vulnerable populations that are susceptible to higher stress responses of inflammatory mediators (see Segerstrom and Miller, 2004; Rohleder, 2019 for full review). These include individuals with lower socioeconomic status (Steptoe et al., 2002; Brydon et al., 2004, 2012), and those with higher work stress associated with effort-reward imbalances (Hamer et al., 2006). Additionally, other indices of overall wellness and the impact of stress in older adults, such as poor sleep were reported with higher levels of IL-6 inflammatory responses (Heffner et al., 2012). Moreover, inflammatory responses were found to be related to acute stress responses, including higher levels of inflammatory mediators in individuals with higher states of anger and anxiety (Carroll et al., 2011). Amongst the available data, it appears that IL-6 and IL-1β are the most salient inflammatory mediators influenced by psychological life stress (Yamakawa et al., 2009; Aschbacher et al., 2012; Puterman et al., 2014), consistent with the putative role of CRF signaling (Jain et al., 1991; Saperstein et al., 1992). This evidence is congruent with behavioral and molecular studies that have demonstrated the ability of CB1 agonists to reduce inflammation (Crunfli et al., 2019) and Aβ neurotoxicity by inhibiting caspase-3 (Haghani et al., 2012), an apoptotic signaling molecule associated with the CRFR1-PKC pathway that is activated under conditions of chronic stress (Lichlyter et al., 2022).

Conclusion

In this review we have focused on the mechanisms by which the cannabinoid system can potentially limit hyperactivity of stress neurocircuitry, and in doing so, have discussed the potentially protective or anti-stress features that may benefit AD patient populations. There are several other potential beneficial aspects of cannabis for the treatment of AD that are outside the scope of this review. We direct the reader to an excellent review on the available preclinical data that support the therapeutic potential of cannabinoids in treating AD (Aso and Ferrer, 2014).

Our aim was to highlight the significance of the eCB as a mediator of the stress response that has therapeutic potential in reversing or halting the deleterious effects of stress that contribute to AD neuropathology. The eCB/cannabinoid receptor signaling is capable of adapting eCB tone during acute and chronic stress throughout the central nervous system and peripheral nervous system. We have illustrated how, under conditions of allostatic overload/chronic stress conditions, elevated tone of stress mediators such as NE, CRF and can become detrimental. We have discussed specific brain regions (mainly LC, PFC, and amygdala) implicated in AD pathology that may be exacerbated by stress. This approach offers a different perspective of AD hallmark by incorporating the “prion-like hypothesis” while not mutually excluding the amyloid cascade hypothesis. We believe that the LC-NE dysregulation is plausible given the centrality of the LC within the coeruleo-cortico-amygdalar circuit and early Braak staging of NFTs in the LC and limbic region. Furthermore, emphasizing the concept of allostatic overload in translational research and medicine may highlight non-memory symptoms and asymptomatic AD individuals that are often excluded from the clinical picture.

The synergistic interaction of eCBs along with the compensatory effects of the coeruleo-cortico-amygdalar circuit under allostatic overload/chronic stress is an area of interest that is relevant for AD-related research as well as clinical populations. Effectively harnessing the eCB system has the potential to restore allostatic balance, thereby influencing cognition, behavior, autonomic processes, endocrine function, and neuroplasticity. The knowledge of this eCB homeostatic paradigm may be utilized as a preventative measure before maladaptive LC-NE dysregulation and a disease modifying therapy for AD. Premature measures to capitalize on eCB buffering prolonged noradrenergic tone and release before AD neuropathology ensues is essential. Moreover, the complexity of interactions between stress and AD neuropathology may become integrated into a feed-forward system that ultimately leads to neurodegeneration. When considering AD related pathology that may originate as chronic responses to stress or may simply be aggravated by stress in later disease stages, there is compelling evidence for the use of combined THC + CBD in formulations such as Sativex. Further investigations should examine the tiered eCB capability to rebound from progressive proteinopathy-induced LC-NE dysfunction. Additionally, future goals should be directed toward redefining parameters that consider the heterogeneity of AD such as the preclinical and prodromal stages of AD. Moreover, stratifying patients based on Braak staging and obtaining a holistic psychological history including the presence of trauma and/or chronic stress could be beneficial in determining if cannabis is likely to be an effective treatment for a particular individual.

Author contributions

RS conducted the literature search, summarized the currently available research on the subject, and co-wrote the manuscript. JR co-wrote the manuscript, created the figures and tables, and reviewed the interpretation of the data described in the manuscript. EV provided the funding to make this work possible and reviewed the manuscript prior to submission. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the Cannabis Education and Research Institute to JR and NIH grant R21AG058263-02 to EV.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abbreviations

ACEA, Arachidonyl-2 ′ -chloroethylamide, 11; ACEA action, synthetic CB1r selective agonist, 11; ACTH, adrenocorticotropic hormone, 5; AD, Alzheimer’s Disease, 3; APOE, apolipoprotein E, 3; APP, amyloid precursor protein, 3; APP/PS1, amyloid precursor protein/presenilin 1, 9; APPswe/PS1dE9, amyloid precursor protein/presenilin 1 double transgenic, 9; AR, adrenergic receptor, 5; A β, Amyloid Beta Peptide, 4; BBB, blood brain barrier, 5; BPSD, behavioral and psychological symptoms of dementia, 4; CBD, Cannabidiol, 11; CBD action, Negative Allosteric Modulator of CB1, 11; cdk-5, cyclin-dependent kinase 5, 16; CeA, central nucleus of the amygdala, 6; CRF, corticotropin releasing factor, 5; CRF-OE, overexpress CRF, 7; CRFR1, CRF receptor 1, 7; DSM-5, Diagnostic and Statistical Manual of Mental Disorders 5, 3; eCBRIs, endocannabinoid reuptake inhibitors, 11; ELISA, enzyme linked immunoassay, 7; ERK1/2, extracellular signal-regulated kinase, 16; GFAP, glial fibrillary acidic protein, 7; GSK3 β, glycogen synthase kinase 3 beta, 5; HPA, hypothalamic-pituitary-adrenal, 3; IL-mPFC, infralimbic mPFC, 6; JNK, c-Jun N- terminal kinase, 16; JWH-133, Synthetic CB2r Selective Agonist, 11; LC, locus coeruleus, 6; LOAD, late onset AD, 3; MAPK, mitogen-activated protein kinases, 16; MMSE, Mini Mental State Examination, 8; NE, norepinephrine, 6; NFT, neurofibrillary tangles, 5; NIA-AA, National Institute of Aging/Alzheimer’s Association, 3; NINCDS-ADRDA, National Institute of Neurological and Communicative Diseases and Stroke/Alzheimer’s Disease and Related Disorders Association, 3; NO, nitric oxide, 5; PET, positron emission tomography, 4; PFC, prefrontal cortex, 6; PL-mPFC, prelimbic medial PFC, 6; PSEN1, presenilin 1, 3; PSEN2, presenilin 2, 3; PVN, paraventricular nucleus of the hypothalamus, 5; VSMCs, vascular smooth muscle cells, 5; WIN 55-212, 2, Non-selective (CB1 and CB2) Cannabinoid Agonist, 11; β -APPs, β -amyloid precursor proteins, 8.

References

Adolfsson, R., Gottfries, C. G., Roos, B. E., and Winblad, B. (1979). Changes in the brain catecholamines in patients with dementia of Alzheimer type. Br. J. Psychiatry 135, 216–223.

Google Scholar

Aliev, G., Seyidova, D., Neal, M. L., Shi, J., Lamb, B. T., Siedlak, S. L., et al. (2002). Atherosclerotic lesions and mitochondria DNA deletions in brain microvessels as a central target for the development of human AD and AD-like pathology in aged transgenic mice. Ann. N. Y. Acad. Sci. 977, 45–64.

Google Scholar

Allan, L. M., Ballard, C. G., Allen, J., Murray, A., Davidson, A. W., McKeith, I. G., et al. (2007). Autonomic dysfunction in dementia. J. Neurol. Neurosurg. Psychiatry 78, 671–677.

Google Scholar

Allsop, D., Landon, M., and Kidd, M. (1983). The isolation and amino acid composition of senile plaque core protein. Brain Res. 259, 348–352.

Google Scholar

Arai, H., Kosaka, K., and Iizuka, R. (1984). Changes of biogenic amines and their metabolites in postmortem brains from patients with Alzheimer-type dementia. J. Neurochem. 43, 388–393.

Google Scholar

Arnsten, A. F. (2009). Stress signalling pathways that impair prefrontal cortex structure and function. Nat. Rev. Neurosci. 10, 410–422.

Google Scholar

Arnsten, A. F., and Goldman-Rakic, P. S. (1985). Alpha 2-adrenergic mechanisms in prefrontal cortex associated with cognitive decline in aged nonhuman primates. Science 230, 1273–1276. doi: 10.1126/science.2999977

PubMed Abstract | CrossRef Full Text | Google Scholar

Aschbacher, K., Epel, E., Wolkowitz, O. M., Prather, A. A., Puterman, E., and Dhabhar, F. S. (2012). Maintenance of a positive outlook during acute stress protects against pro-inflammatory reactivity and future depressive symptoms. Brain Behav. Immun. 26, 346–352. doi: 10.1016/j.bbi.2011.10.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Aso, E., Andres-Benito, P., Carmona, M., Maldonado, R., and Ferrer, I. (2016). Cannabinoid receptor 2 participates in amyloid-beta processing in a mouse model of Alzheimer’s disease but plays a minor role in the therapeutic properties of a cannabis-based medicine. J. Alzheimers Dis. 51, 489–500. doi: 10.3233/JAD-150913

PubMed Abstract | CrossRef Full Text | Google Scholar

Aso, E., Andres-Benito, P., and Ferrer, I. (2018). Genetic deletion of CB1 cannabinoid receptors exacerbates the Alzheimer-like symptoms in a transgenic animal model. Biochem. Pharmacol. 157, 210–216. doi: 10.1016/j.bcp.2018.08.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Aso, E., and Ferrer, I. (2014). Cannabinoids for treatment of Alzheimer’s disease: Moving toward the clinic. Front. Pharmacol. 5:37. doi: 10.3389/fphar.2014.00037

CrossRef Full Text | Google Scholar

Aso, E., and Ferrer, I. (2016). CB2 cannabinoid receptor as potential target against Alzheimer’s disease. Front. Neurosci. 10:243. doi: 10.3389/fnins.2016.00243

CrossRef Full Text | Google Scholar

Aso, E., Juves, S., Maldonado, R., and Ferrer, I. (2013). CB2 cannabinoid receptor agonist ameliorates Alzheimer-like phenotype in AbetaPP/PS1 mice. J. Alzheimers Dis. 35, 847–858. doi: 10.3233/JAD-130137

PubMed Abstract | CrossRef Full Text | Google Scholar

Aso, E., Sanchez-Pla, A., Vegas-Lozano, E., Maldonado, R., and Ferrer, I. (2015). Cannabis-based medicine reduces multiple pathological processes in AbetaPP/PS1 mice. J. Alzheimers Dis. 43, 977–991. doi: 10.3233/JAD-141014

PubMed Abstract | CrossRef Full Text | Google Scholar

Baloyannis, S. J., Mavroudis, I., Mitilineos, D., Baloyannis, I. S., and Costa, V. G. (2015). The hypothalamus in Alzheimer’s disease: A Golgi and electron microscope study. Am. J. Alzheimers Dis. Other Demen. 30, 478–487.

Google Scholar

Banasr, M., and Duman, R. S. (2007). Regulation of neurogenesis and gliogenesis by stress and antidepressant treatment. CNS Neurol. Disord. Drug Targets 6, 311–320. doi: 10.2174/187152707783220929

PubMed Abstract | CrossRef Full Text | Google Scholar

Banasr, M., Valentine, G. W., Li, X. Y., Gourley, S. L., Taylor, J. R., and Duman, R. S. (2007). Chronic unpredictable stress decreases cell proliferation in the cerebral cortex of the adult rat. Biol. Psychiatry 62, 496–504.

Google Scholar

Barnes, J., Dickerson, B. C., Frost, C., Jiskoot, L. C., Wolk, D., and van der Flier, W. M. (2015). Alzheimer’s disease first symptoms are age dependent: Evidence from the NACC dataset. Alzheimers Dement. 11, 1349–1357. doi: 10.1016/j.jalz.2014.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Beardmore, R., Hou, R., Darekar, A., Holmes, C., and Boche, D. (2021). The locus coeruleus in aging and Alzheimer’s disease: A postmortem and brain imaging review. J. Alzheimers Dis. 83, 5–22.

Google Scholar

Bedse, G., Romano, A., Tempesta, B., Lavecchia, M. A., Pace, L., Bellomo, A., et al. (2015). Inhibition of anandamide hydrolysis enhances noradrenergic and GABAergic transmission in the prefrontal cortex and basolateral amygdala of rats subjected to acute swim stress. J. Neurosci. Res. 93, 777–787. doi: 10.1002/jnr.23539

PubMed Abstract | CrossRef Full Text | Google Scholar

Berridge, C. W., and Waterhouse, B. D. (2003). The locus coeruleus-noradrenergic system: Modulation of behavioral state and state-dependent cognitive processes. Brain Res. Brain Res. Rev. 42, 33–84. doi: 10.1016/s0165-0173(03)00143-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Bloss, E. B., Janssen, W. G., Ohm, D. T., Yuk, F. J., Wadsworth, S., Saardi, K. M., et al. (2011). Evidence for reduced experience-dependent dendritic spine plasticity in the aging prefrontal cortex. J. Neurosci. 31, 7831–7839. doi: 10.1523/JNEUROSCI.0839-11.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Bluett, R. J., Baldi, R., Haymer, A., Gaulden, A. D., Hartley, N. D., Parrish, W. P., et al. (2017). Endocannabinoid signalling modulates susceptibility to traumatic stress exposure. Nat. Commun. 8:14782.

Google Scholar

Borroni, B., Grassi, M., Archetti, S., Costanzi, C., Bianchi, M., Caimi, L., et al. (2009). BDNF genetic variations increase the risk of Alzheimer’s disease-related depression. J. Alzheimers Dis. 18, 867–875. doi: 10.3233/JAD-2009-1191

PubMed Abstract | CrossRef Full Text | Google Scholar

Braak, H., and Braak, E. (1991b). Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol. 82, 239–259. doi: 10.1007/BF00308809

PubMed Abstract | CrossRef Full Text | Google Scholar

Braak, H., and Braak, E. (1991a). Demonstration of amyloid deposits and neurofibrillary changes in whole brain sections. Brain Pathol. 1, 213–216.

Google Scholar

Braak, H., and Braak, E. (1995). Staging of Alzheimer’s disease-related neurofibrillary changes. Neurobiol. Aging 16, 271–278; discussion 278–84.

Google Scholar

Braak, H., and Del Tredici, K. (2011b). The pathological process underlying Alzheimer’s disease in individuals under thirty. Acta Neuropathol. 121, 171–181. doi: 10.1007/s00401-010-0789-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Braak, H., and Del Tredici, K. (2011a). Alzheimer’s pathogenesis: Is there neuron-to-neuron propagation? Acta Neuropathol. 121, 589–595.

Google Scholar

Braak, H., Thal, D. R., Ghebremedhin, E., and Del Tredici, K. (2011). Stages of the pathologic process in Alzheimer disease: Age categories from 1 to 100 years. J. Neuropathol. Exp. Neurol. 70, 960–969. doi: 10.1097/NEN.0b013e318232a379

PubMed Abstract | CrossRef Full Text | Google Scholar

Braun, M., Khan, Z. T., Khan, M. B., Kumar, M., Ward, A., Achyut, B. R., et al. (2018). Selective activation of cannabinoid receptor-2 reduces neuroinflammation after traumatic brain injury via alternative macrophage polarization. Brain Behav. Immun. 68, 224–237. doi: 10.1016/j.bbi.2017.10.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Brydon, L., Edwards, S., Mohamed-Ali, V., and Steptoe, A. (2004). Socioeconomic status and stress-induced increases in interleukin-6. Brain Behav. Immun. 18, 281–290. doi: 10.1016/j.bbi.2003.09.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Brydon, L., Lin, J., Butcher, L., Hamer, M., Erusalimsky, J. D., Blackburn, E. H., et al. (2012). Hostility and cellular aging in men from the Whitehall II cohort. Biol. Psychiatry 71, 767–773.

Google Scholar

Buczynski, M. W., and Parsons, L. H. (2010). Quantification of brain endocannabinoid levels: Methods, interpretations and pitfalls. Br. J. Pharmacol. 160, 423–442. doi: 10.1111/j.1476-5381.2010.00787.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Busche, M. A., Eichhoff, G., Adelsberger, H., Abramowski, D., Wiederhold, K. H., Haass, C., et al. (2008). Clusters of hyperactive neurons near amyloid plaques in a mouse model of Alzheimer’s disease. Science 321, 1686–1689. doi: 10.1126/science.1162844

PubMed Abstract | CrossRef Full Text | Google Scholar

Cabanero, D., Ramirez-Lopez, A., Drews, E., Schmole, A., Otte, D. M., Wawrzczak-Bargiela, A., et al. (2020). Protective role of neuronal and lymphoid cannabinoid CB2 receptors in neuropathic pain. Elife 9:e55582. doi: 10.7554/eLife.55582

PubMed Abstract | CrossRef Full Text | Google Scholar

Campbell, S. N., Zhang, C., Monte, L., Roe, A. D., Rice, K. C., Tache, Y., et al. (2015a). Increased tau phosphorylation and aggregation in the hippocampus of mice overexpressing corticotropin-releasing factor. J. Alzheimers Dis. 43, 967–976. doi: 10.3233/JAD-141281

PubMed Abstract | CrossRef Full Text | Google Scholar

Campbell, S. N., Zhang, C., Roe, A. D., Lee, N., Lao, K. U., Monte, L., et al. (2015b). Impact of CRFR1 ablation on amyloid-beta production and accumulation in a mouse model of Alzheimer’s disease. J. Alzheimers Dis. 45, 1175–1184. doi: 10.3233/JAD-142844

PubMed Abstract | CrossRef Full Text | Google Scholar

Campos, A. C., Ortega, Z., Palazuelos, J., Fogaca, M. V., Aguiar, D. C., Diaz-Alonso, J., et al. (2013b). The anxiolytic effect of cannabidiol on chronically stressed mice depends on hippocampal neurogenesis: Involvement of the endocannabinoid system. Int. J. Neuropsychopharmacol. 16, 1407–1419. doi: 10.1017/S1461145712001502

PubMed Abstract | CrossRef Full Text | Google Scholar

Campos, A. C., Fogaca, M. V., Aguiar, D. C., and Guimaraes, F. S. (2013a). Animal models of anxiety disorders and stress. Braz. J. Psychiatry 35(Suppl. 2), S101–S111.

Google Scholar

Campos, A. C., Fogaca, M. V., Scarante, F. F., Joca, S. R. L., Sales, A. J., Gomes, F. V., et al. (2017). Plastic and neuroprotective mechanisms involved in the therapeutic effects of cannabidiol in psychiatric disorders. Front. Pharmacol. 8:269. doi: 10.3389/fphar.2017.00269

CrossRef Full Text | Google Scholar

Cao, J., Papadopoulou, N., Kempuraj, D., Boucher, W. S., Sugimoto, K., Cetrulo, C. L., et al. (2005). Human mast cells express corticotropin-releasing hormone (CRH) receptors and CRH leads to selective secretion of vascular endothelial growth factor. J. Immunol. 174, 7665–7675. doi: 10.4049/jimmunol.174.12.7665

PubMed Abstract | CrossRef Full Text | Google Scholar

Carroll, D., Phillips, A. C., Der, G., Hunt, K., and Benzeval, M. (2011). Blood pressure reactions to acute mental stress and future blood pressure status: Data from the 12-year follow-up of the West of Scotland Study. Psychosom Med. 73, 737–742. doi: 10.1097/PSY.0b013e3182359808

PubMed Abstract | CrossRef Full Text | Google Scholar

Carvalho, A. F., and Van Bockstaele, E. J. (2012). Cannabinoid modulation of noradrenergic circuits: Implications for psychiatric disorders. Prog. Neuropsychopharmacol. Biol. Psychiatry 38, 59–67.

Google Scholar

Castellano, J. F., Fletcher, B. R., Kelley-Bell, B., Kim, D. H., Gallagher, M., and Rapp, P. R. (2012). Age-related memory impairment is associated with disrupted multivariate epigenetic coordination in the hippocampus. PLoS One 7:e33249. doi: 10.1371/journal.pone.0033249

CrossRef Full Text | Google Scholar

Castillo, P. E., Younts, T. J., Chavez, A. E., and Hashimotodani, Y. (2012). Endocannabinoid signaling and synaptic function. Neuron 76, 70–81.

Google Scholar

Catania, C., Sotiropoulos, I., Silva, R., Onofri, C., Breen, K. C., Sousa, N., et al. (2009). The amyloidogenic potential and behavioral correlates of stress. Mol. Psychiatry 14, 95–105.

Google Scholar

Cathel, A. M., Reyes, B. A., Wang, Q., Palma, J., Mackie, K., Van Bockstaele, E. J., et al. (2014). Cannabinoid modulation of alpha2 adrenergic receptor function in rodent medial prefrontal cortex. Eur. J. Neurosci. 40, 3202–3214.

Google Scholar

Cece, Y., and Shifu, X. (2015). Are the revised diagnostic criteria for Alzheimer’s disease useful in low- and middle-income countries? Shanghai Arch. Psychiatry 27, 119–123. doi: 10.11919/j.issn.1002-0829.215001

PubMed Abstract | CrossRef Full Text | Google Scholar

Cerqueira, J. J., Catania, C., Sotiropoulos, I., Schubert, M., Kalisch, R., Almeida, O. F., et al. (2005). Corticosteroid status influences the volume of the rat cingulate cortex - a magnetic resonance imaging study. J. Psychiatr. Res. 39, 451–460. doi: 10.1016/j.jpsychires.2005.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Cerqueira, J. J., Mailliet, F., Almeida, O. F., Jay, T. M., and Sousa, N. (2007a). The prefrontal cortex as a key target of the maladaptive response to stress. J. Neurosci. 27, 2781–2787.

Google Scholar

Cerqueira, J. J., Taipa, R., Uylings, H. B., Almeida, O. F., and Sousa, N. (2007b). Specific configuration of dendritic degeneration in pyramidal neurons of the medial prefrontal cortex induced by differing corticosteroid regimens. Cereb. Cortex 17, 1998–2006. doi: 10.1093/cercor/bhl108

PubMed Abstract | CrossRef Full Text | Google Scholar

Chai, G. S., Wang, Y. Y., Yasheng, A., and Zhao, P. (2016). Beta 2-adrenergic receptor activation enhances neurogenesis in Alzheimer’s disease mice. Neural. Regen. Res. 11, 1617–1624. doi: 10.4103/1673-5374.193241

PubMed Abstract | CrossRef Full Text | Google Scholar

Chandler, D. J. (2016). Evidence for a specialized role of the locus coeruleus noradrenergic system in cortical circuitries and behavioral operations. Brain Res. 1641(Pt B), 197–206. doi: 10.1016/j.brainres.2015.11.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Chandler, D. J., Jensen, P., McCall, J. G., Pickering, A. E., Schwarz, L. A., and Totah, N. K. (2019). Redefining noradrenergic neuromodulation of behavior: Impacts of a modular locus coeruleus architecture. J. Neurosci. 39, 8239–8249. doi: 10.1523/JNEUROSCI.1164-19.2019

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, R., Zhang, J., Fan, N., Teng, Z. Q., Wu, Y., Yang, H., et al. (2013). Delta9-THC-caused synaptic and memory impairments are mediated through COX-2 signaling. Cell 155, 1154–1165. doi: 10.1016/j.cell.2013.10.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, X., Zhang, J., and Chen, C. (2011). Endocannabinoid 2-arachidonoylglycerol protects neurons against beta-amyloid insults. Neuroscience 178, 159–168. doi: 10.1016/j.neuroscience.2011.01.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y., Peng, Y., Che, P., Gannon, M., Liu, Y., Li, L., et al. (2014). alpha(2A) adrenergic receptor promotes amyloidogenesis through disrupting APP-SorLA interaction. Proc. Natl. Acad. Sci. U.S.A. 111, 17296–17301. doi: 10.1073/pnas.1409513111

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheng, D., Low, J. K., Logge, W., Garner, B., and Karl, T. (2014). Chronic cannabidiol treatment improves social and object recognition in double transgenic APPswe/PS1E9 mice. Psychopharmacology (Berl) 231, 3009–3017. doi: 10.1007/s00213-014-3478-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Chicca, A., Nicolussi, S., Bartholomaus, R., Blunder, M., Aparisi Rey, A., Petrucci, V., et al. (2017). Chemical probes to potently and selectively inhibit endocannabinoid cellular reuptake. Proc. Natl. Acad. Sci. U.S.A. 114, E5006–E5015.

Google Scholar

Chiu, C. Q., Puente, N., Grandes, P., and Castillo, P. E. (2010). Dopaminergic modulation of endocannabinoid-mediated plasticity at GABAergic synapses in the prefrontal cortex. J. Neurosci. 30, 7236–7248. doi: 10.1523/JNEUROSCI.0736-10.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Choi, J. H., Kaur, G., Mazzella, M. J., Morales-Corraliza, J., Levy, E., and Mathews, P. M. (2013). Early endosomal abnormalities and cholinergic neuron degeneration in amyloid-beta protein precursor transgenic mice. J. Alzheimers Dis. 34, 691–700.

Google Scholar

Ciani, L., Boyle, K. A., Dickins, E., Sahores, M., Anane, D., Lopes, D. M., et al. (2011). Wnt7a signaling promotes dendritic spine growth and synaptic strength through Ca(2)(+)/Calmodulin-dependent protein kinase II. Proc. Natl. Acad. Sci. U.S.A. 108, 10732–10737. doi: 10.1073/pnas.1018132108

PubMed Abstract | CrossRef Full Text | Google Scholar

Coddington, E., Lewis, C., Rose, J. D., and Moore, F. L. (2007). Endocannabinoids mediate the effects of acute stress and corticosterone on sex behavior. Endocrinology 148, 493–500. doi: 10.1210/en.2006-0740

PubMed Abstract | CrossRef Full Text | Google Scholar

Combarros, O., Warden, D. R., Hammond, N., Cortina-Borja, M., Belbin, O., Lehmann, M. G., et al. (2010). The dopamine beta-hydroxylase -1021C/T polymorphism is associated with the risk of Alzheimer’s disease in the Epistasis Project. BMC Med. Genet. 11:162. doi: 10.1186/1471-2350-11-162

CrossRef Full Text | Google Scholar

Cook, S. C., and Wellman, C. L. (2004). Chronic stress alters dendritic morphology in rat medial prefrontal cortex. J. Neurobiol. 60, 236–248.

Google Scholar

Cope, Z. A., Vazey, E. M., Floresco, S. B., and Aston Jones, G. S. (2019). DREADD-mediated modulation of locus coeruleus inputs to mPFC improves strategy set-shifting. Neurobiol. Learn. Mem. 161, 1–11. doi: 10.1016/j.nlm.2019.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Crunfli, F., Vrechi, T. A., Costa, A. P., and Torrao, A. S. (2019). Cannabinoid receptor type 1 Agonist ACEA improves cognitive deficit on STZ-induced neurotoxicity through apoptosis pathway and no modulation. Neurotox Res. 35, 516–529. doi: 10.1007/s12640-018-9991-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Curtis, A. L., Bethea, T., and Valentino, R. J. (2006). Sexually dimorphic responses of the brain norepinephrine system to stress and corticotropin-releasing factor. Neuropsychopharmacology 31, 544–554.

Google Scholar

David, M., and Malhotra, P. A. (2022). New approaches for the quantification and targeting of noradrenergic dysfunction in Alzheimer’s disease. Ann. Clin. Transl. Neurol. 9, 582–596. doi: 10.1002/acn3.51539

PubMed Abstract | CrossRef Full Text | Google Scholar

De Petrocellis, L., Ligresti, A., Moriello, A. S., Allara, M., Bisogno, T., Petrosino, S., et al. (2011). Effects of cannabinoids and cannabinoid-enriched Cannabis extracts on TRP channels and endocannabinoid metabolic enzymes. Br. J. Pharmacol. 163, 1479–1494. doi: 10.1111/j.1476-5381.2010.01166.x

PubMed Abstract | CrossRef Full Text | Google Scholar

De Souza, E. B., Whitehouse, P. J., Kuhar, M. J., Price, D. L., and Vale, W. W. (1986). Reciprocal changes in corticotropin-releasing factor (CRF)-like immunoreactivity and CRF receptors in cerebral cortex of Alzheimer’s disease. Nature 319, 593–595. doi: 10.1038/319593a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Dermitzaki, E., Tsatsanis, C., Charalampopoulos, I., Androulidaki, A., Alexaki, V. I., Castanas, E., et al. (2005). Corticotropin-releasing hormone activates protein kinase C in an isoenzyme-specific manner. Biochem. Biophys. Res. Commun. 327, 828–836. doi: 10.1016/j.bbrc.2004.12.078

PubMed Abstract | CrossRef Full Text | Google Scholar

Di, S., Malcher-Lopes, R., Halmos, K. C., and Tasker, J. G. (2003). Nongenomic glucocorticoid inhibition via endocannabinoid release in the hypothalamus: A fast feedback mechanism. J. Neurosci. 23, 4850–4857. doi: 10.1523/JNEUROSCI.23-12-04850.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

Diana, M. A., and Marty, A. (2004). Endocannabinoid-mediated short-term synaptic plasticity: Depolarization-induced suppression of inhibition (DSI) and depolarization-induced suppression of excitation (DSE). Br. J. Pharmacol. 142, 9–19. doi: 10.1038/sj.bjp.0705726

CrossRef Full Text | Google Scholar

Diorio, D., Viau, V., and Meaney, M. J. (1993). The role of the medial prefrontal cortex (cingulate gyrus) in the regulation of hypothalamic-pituitary-adrenal responses to stress. J. Neurosci. 13, 3839–3847. doi: 10.1523/JNEUROSCI.13-09-03839.1993

PubMed Abstract | CrossRef Full Text | Google Scholar

Donat, C. K., Fischer, F., Walter, B., Deuther-Conrad, W., Brodhun, M., Bauer, R., et al. (2014). Early increase of cannabinoid receptor density after experimental traumatic brain injury in the newborn piglet. Acta Neurobiol. Exp. (Wars) 74, 197–210.

PubMed Abstract | Google Scholar

Dong, H., Murphy, K. M., Meng, L., Montalvo-Ortiz, J., Zeng, Z., Kolber, B. J., et al. (2012). Corticotrophin releasing factor accelerates neuropathology and cognitive decline in a mouse model of Alzheimer’s disease. J. Alzheimers Dis. 28, 579–592. doi: 10.3233/JAD-2011-111328

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong, H., Yuede, C. M., Yoo, H. S., Martin, M. V., Deal, C., Mace, A. G., et al. (2008). Corticosterone and related receptor expression are associated with increased beta-amyloid plaques in isolated Tg2576 mice. Neuroscience 155, 154–163. doi: 10.1016/j.neuroscience.2008.05.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong, Q., Salva, A., Sottas, C. M., Niu, E., Holmes, M., and Hardy, M. P. (2004). Rapid glucocorticoid mediation of suppressed testosterone biosynthesis in male mice subjected to immobilization stress. J. Androl. 25, 973–981. doi: 10.1002/j.1939-4640.2004.tb03170.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Driscoll, I., and Troncoso, J. (2011). Asymptomatic Alzheimer’s disease: A prodrome or a state of resilience? Curr. Alzheimer Res. 8, 330–335.

Google Scholar

D’Souza, D. C., Cortes-Briones, J., Creatura, G., Bluez, G., Thurnauer, H., Deaso, E., et al. (2019). Efficacy and safety of a fatty acid amide hydrolase inhibitor (PF-04457845) in the treatment of cannabis withdrawal and dependence in men: A double-blind, placebo-controlled, parallel group, phase 2a single-site randomised controlled trial. Lancet Psychiatry 6, 35–45. doi: 10.1016/S2215-0366(18)30427-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Dubois, B., Feldman, H. H., Jacova, C., Dekosky, S. T., Barberger-Gateau, P., Cummings, J., et al. (2007). Research criteria for the diagnosis of Alzheimer’s disease: Revising the NINCDS-ADRDA criteria. Lancet Neurol. 6, 734–746.

Google Scholar

Dvorkin, A., Benjamini, Y., and Golani, I. (2008). Mouse cognition-related behavior in the open-field: Emergence of places of attraction. PLoS Comput. Biol. 4:e1000027. doi: 10.1371/journal.pcbi.1000027

CrossRef Full Text | Google Scholar

Elgh, E., Lindqvist Astot, A., Fagerlund, M., Eriksson, S., Olsson, T., and Nasman, B. (2006). Cognitive dysfunction, hippocampal atrophy and glucocorticoid feedback in Alzheimer’s disease. Biol. Psychiatry 59, 155–161. doi: 10.1016/j.biopsych.2005.06.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Elliott-Hunt, C. R., Kazlauskaite, J., Wilde, G. J., Grammatopoulos, D. K., and Hillhouse, E. W. (2002). Potential signalling pathways underlying corticotrophin-releasing hormone-mediated neuroprotection from excitotoxicity in rat hippocampus. J. Neurochem. 80, 416–425. doi: 10.1046/j.0022-3042.2001.00712.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Esposito, G., De Filippis, D., Carnuccio, R., Izzo, A. A., and Iuvone, T. (2006a). The marijuana component cannabidiol inhibits beta-amyloid-induced tau protein hyperphosphorylation through Wnt/beta-catenin pathway rescue in PC12 cells. J. Mol. Med. (Berl.) 84, 253–258. doi: 10.1007/s00109-005-0025-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Esposito, G., De Filippis, D., Maiuri, M. C., De Stefano, D., Carnuccio, R., and Iuvone, T. (2006b). Cannabidiol inhibits inducible nitric oxide synthase protein expression and nitric oxide production in beta-amyloid stimulated PC12 neurons through p38 MAP kinase and NF-kappaB involvement. Neurosci. Lett. 399, 91–95. doi: 10.1016/j.neulet.2006.01.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Esposito, G., De Filippis, D., Steardo, L., Scuderi, C., Savani, C., Cuomo, V., et al. (2006c). CB1 receptor selective activation inhibits beta-amyloid-induced iNOS protein expression in C6 cells and subsequently blunts tau protein hyperphosphorylation in co-cultured neurons. Neurosci. Lett. 404, 342–346. doi: 10.1016/j.neulet.2006.06.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Esposito, G., Iuvone, T., Savani, C., Scuderi, C., De Filippis, D., Papa, M., et al. (2007a). Opposing control of cannabinoid receptor stimulation on amyloid-beta-induced reactive gliosis: In vitro and in vivo evidence. J. Pharmacol. Exp. Ther. 322, 1144–1152. doi: 10.1124/jpet.107.121566

PubMed Abstract | CrossRef Full Text | Google Scholar

Esposito, G., Scuderi, C., Savani, C., Steardo, L. Jr., De Filippis, D., Cottone, P., et al. (2007b). Cannabidiol in vivo blunts beta-amyloid induced neuroinflammation by suppressing IL-1beta and iNOS expression. Br. J. Pharmacol. 151, 1272–1279. doi: 10.1038/sj.bjp.0707337

PubMed Abstract | CrossRef Full Text | Google Scholar

Esposito, G., Scuderi, C., Valenza, M., Togna, G. I., Latina, V., De Filippis, D., et al. (2011). Cannabidiol reduces Abeta-induced neuroinflammation and promotes hippocampal neurogenesis through PPARgamma involvement. PLoS One 6:e28668. doi: 10.1371/journal.pone.0028668

CrossRef Full Text | Google Scholar

Evanson, N. K., Tasker, J. G., Hill, M. N., Hillard, C. J., and Herman, J. P. (2010). Fast feedback inhibition of the HPA axis by glucocorticoids is mediated by endocannabinoid signaling. Endocrinology 151, 4811–4819. doi: 10.1210/en.2010-0285

PubMed Abstract | CrossRef Full Text | Google Scholar

Facci, L., Stevens, D. A., Pangallo, M., Franceschini, D., Skaper, S. D., and Strijbos, P. J. (2003). Corticotropin-releasing factor (CRF) and related peptides confer neuroprotection via type 1 CRF receptors. Neuropharmacology 45, 623–636. doi: 10.1016/s0028-3908(03)00211-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Fakhoury, M. (2018). Microglia and astrocytes in Alzheimer’s disease: Implications for therapy. Curr. Neuropharmacol. 16, 508–518.

Google Scholar

Farley, I. J., and Hornykiewicz, O. (1977). Noradrenaline distribution insubcortical areas of the human brain. Brain Res. 126, 53–62. doi: 10.1016/0006-8993(77)90214-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Farooq, R. K., Isingrini, E., Tanti, A., Le Guisquet, A. M., Arlicot, N., Minier, F., et al. (2012). Is unpredictable chronic mild stress (UCMS) a reliable model to study depression-induced neuroinflammation? Behav. Brain Res. 231, 130–137. doi: 10.1016/j.bbr.2012.03.020

CrossRef Full Text | Google Scholar

Feinstein, D. L., Heneka, M. T., Gavrilyuk, V., Dello Russo, C., Weinberg, G., and Galea, E. (2002). Noradrenergic regulation of inflammatory gene expression in brain. Neurochem. Int. 41, 357–365.

Google Scholar

Fogaca, M. V., Campos, A. C., Coelho, L. D., Duman, R. S., and Guimaraes, F. S. (2018). The anxiolytic effects of cannabidiol in chronically stressed mice are mediated by the endocannabinoid system: Role of neurogenesis and dendritic remodeling. Neuropharmacology 135, 22–33. doi: 10.1016/j.neuropharm.2018.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Frost, G. R., and Li, Y. M. (2017). The role of astrocytes in amyloid production and Alzheimer’s disease. Open Biol. 7:170228. doi: 10.1098/rsob.170228

CrossRef Full Text | Google Scholar

Gagestein, B., Stevens, A. F., Fazio, D., Florea, B. I., van der Wel, T., Bakker, A. T., et al. (2022). Chemical proteomics reveals off-targets of the anandamide reuptake inhibitor WOBE437. ACS Chem. Biol. 17, 1174–1183. doi: 10.1021/acschembio.2c00122

PubMed Abstract | CrossRef Full Text | Google Scholar

Gannon, M., Che, P., Chen, Y., Jiao, K., Roberson, E. D., and Wang, Q. (2015). Noradrenergic dysfunction in Alzheimer’s disease. Front. Neurosci. 9:220. doi: 10.3389/fnins.2015.00220

CrossRef Full Text | Google Scholar

Gannon, M., and Wang, Q. (2019). Complex noradrenergic dysfunction in Alzheimer’s disease: Low norepinephrine input is not always to blame. Brain Res. 1702, 12–16. doi: 10.1016/j.brainres.2018.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Giorgi, F. S., Galgani, A., Puglisi-Allegra, S., Limanaqi, F., Busceti, C. L., and Fornai, F. (2020). Locus Coeruleus and neurovascular unit: From its role in physiology to its potential role in Alzheimer’s disease pathogenesis. J. Neurosci. Res. 98, 2406–2434. doi: 10.1002/jnr.24718

PubMed Abstract | CrossRef Full Text | Google Scholar

Gobbi, G., Bambico, F. R., Mangieri, R., Bortolato, M., Campolongo, P., Solinas, M., et al. (2005). Antidepressant-like activity and modulation of brain monoaminergic transmission by blockade of anandamide hydrolysis. Proc. Natl. Acad. Sci. U.S.A. 102, 18620–18625. doi: 10.1073/pnas.0509591102

PubMed Abstract | CrossRef Full Text | Google Scholar

Godbolt, A. K., Cipolotti, L., Watt, H., Fox, N. C., Janssen, J. C., and Rossor, M. N. (2004). The natural history of Alzheimer disease: A longitudinal presymptomatic and symptomatic study of a familial cohort. Arch. Neurol. 61, 1743–1748.

Google Scholar

Goldwater, D. S., Pavlides, C., Hunter, R. G., Bloss, E. B., Hof, P. R., McEwen, B. S., et al. (2009). Structural and functional alterations to rat medial prefrontal cortex following chronic restraint stress and recovery. Neuroscience 164, 798–808. doi: 10.1016/j.neuroscience.2009.08.053

PubMed Abstract | CrossRef Full Text | Google Scholar

Gomez-Nicola, D., and Boche, D. (2015). Post-mortem analysis of neuroinflammatory changes in human Alzheimer’s disease. Alzheimers Res. Ther. 7:42.

Google Scholar

Gorzalka, B. B., Hill, M. N., and Hillard, C. J. (2008). Regulation of endocannabinoid signaling by stress: Implications for stress-related affective disorders. Neurosci. Biobehav. Rev. 32, 1152–1160.

Google Scholar

Green, K. N., Billings, L. M., Roozendaal, B., McGaugh, J. L., and LaFerla, F. M. (2006). Glucocorticoids increase amyloid-beta and tau pathology in a mouse model of Alzheimer’s disease. J. Neurosci. 26, 9047–9056. doi: 10.1523/JNEUROSCI.2797-06.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

Griffin, G., Tao, Q., and Abood, M. E. (2000). Cloning and pharmacological characterization of the rat CB(2) cannabinoid receptor. J. Pharmacol. Exp. Ther. 292, 886–894.

Google Scholar

Grunblatt, E., Zehetmayer, S., Bartl, J., Loffler, C., Wichart, I., Rainer, M. K., et al. (2009). Genetic risk factors and markers for Alzheimer’s disease and/or depression in the VITA study. J. Psychiatr. Res. 43, 298–308.

Google Scholar

Guo, Q., Zheng, H., and Justice, N. J. (2012). Central CRF system perturbation in an Alzheimer’s disease knockin mouse model. Neurobiol. Aging 33, 2678–2691. doi: 10.1016/j.neurobiolaging.2012.01.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Haghani, M., Shabani, M., Javan, M., Motamedi, F., and Janahmadi, M. (2012). CB1 cannabinoid receptor activation rescues amyloid beta-induced alterations in behaviour and intrinsic electrophysiological properties of rat hippocampal CA1 pyramidal neurones. Cell Physiol. Biochem. 29, 391–406. doi: 10.1159/000338494

PubMed Abstract | CrossRef Full Text | Google Scholar

Hains, A. B., Vu, M. A., Maciejewski, P. K., van Dyck, C. H., Gottron, M., and Arnsten, A. F. (2009). Inhibition of protein kinase C signaling protects prefrontal cortex dendritic spines and cognition from the effects of chronic stress. Proc. Natl. Acad. Sci. U.S.A. 106, 17957–17962.

Google Scholar

Hamer, M., Gibson, E. L., Vuononvirta, R., Williams, E., and Steptoe, A. (2006). Inflammatory and hemostatic responses to repeated mental stress: Individual stability and habituation over time. Brain Behav. Immun. 20, 456–459. doi: 10.1016/j.bbi.2006.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Hao, F., and Feng, Y. (2021). Cannabidiol (CBD) enhanced the hippocampal immune response and autophagy of APP/PS1 Alzheimer’s mice uncovered by RNA-seq. Life Sci. 264:118624. doi: 10.1016/j.lfs.2020.118624

PubMed Abstract | CrossRef Full Text | Google Scholar

Hardy, J., and Selkoe, D. J. (2002). The amyloid hypothesis of Alzheimer’s disease: Progress and problems on the road to therapeutics. Science 297, 353–356.

Google Scholar

Hayashi, Y., Nishio, M., Naito, Y., Yokokura, H., Nimura, Y., Hidaka, H., et al. (1999). Regulation of neuronal nitric-oxide synthase by calmodulin kinases. J. Biol. Chem. 274, 20597–20602.

Google Scholar

Hebda-Bauer, E. K., Simmons, T. A., Sugg, A., Ural, E., Stewart, J. A., Beals, J. L., et al. (2013). 3xTg-AD mice exhibit an activated central stress axis during early-stage pathology. J. Alzheimers Dis. 33, 407–422. doi: 10.3233/JAD-2012-121438

PubMed Abstract | CrossRef Full Text | Google Scholar

Heffner, K. L., Ng, H. M., Suhr, J. A., France, C. R., Marshall, G. D., Pigeon, W. R., et al. (2012). Sleep disturbance and older adults’ inflammatory responses to acute stress. Am. J. Geriatr. Psychiatry 20, 744–752.

Google Scholar

Heidbreder, C. A., and Groenewegen, H. J. (2003). The medial prefrontal cortex in the rat: Evidence for a dorso-ventral distinction based upon functional and anatomical characteristics. Neurosci. Biobehav. Rev. 27, 555–579. doi: 10.1016/j.neubiorev.2003.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Hein, L. (2006). Adrenoceptors and signal transduction in neurons. Cell Tissue Res. 326, 541–551.

Google Scholar

Heneka, M. T., Carson, M. J., El Khoury, J., Landreth, G. E., Brosseron, F., Feinstein, D. L., et al. (2015). Neuroinflammation in Alzheimer’s disease. Lancet Neurol. 14, 388–405.

Google Scholar

Heneka, M. T., Galea, E., Gavriluyk, V., Dumitrescu-Ozimek, L., Daeschner, J., O’Banion, M. K., et al. (2002). Noradrenergic depletion potentiates beta -amyloid-induced cortical inflammation: Implications for Alzheimer’s disease. J. Neurosci. 22, 2434–2442. doi: 10.1523/JNEUROSCI.22-07-02434.2002

PubMed Abstract | CrossRef Full Text | Google Scholar

Heneka, M. T., Gavrilyuk, V., Landreth, G. E., O’Banion, M. K., Weinberg, G., and Feinstein, D. L. (2003). Noradrenergic depletion increases inflammatory responses in brain: Effects on IkappaB and HSP70 expression. J. Neurochem. 85, 387–398. doi: 10.1046/j.1471-4159.2003.01694.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Herman, J. P., Figueiredo, H., Mueller, N. K., Ulrich-Lai, Y., Ostrander, M. M., Choi, D. C., et al. (2003). Central mechanisms of stress integration: Hierarchical circuitry controlling hypothalamo-pituitary-adrenocortical responsiveness. Front. Neuroendocrinol. 24, 151–80. doi: 10.1016/j.yfrne.2003.07.001

CrossRef Full Text | Google Scholar

Hermes, D. J., Xu, C., Poklis, J. L., Niphakis, M. J., Cravatt, B. F., Mackie, K., et al. (2018). Neuroprotective effects of fatty acid amide hydrolase catabolic enzyme inhibition in a HIV-1 Tat model of neuroAIDS. Neuropharmacology 141, 55–65. doi: 10.1016/j.neuropharm.2018.08.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Hill, M. N., and Gorzalka, B. B. (2006). Increased sensitivity to restraint stress and novelty-induced emotionality following long-term, high dose cannabinoid exposure. Psychoneuroendocrinology 31, 526–536. doi: 10.1016/j.psyneuen.2005.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Hill, M. N., McLaughlin, R. J., Pan, B., Fitzgerald, M. L., Roberts, C. J., Lee, T. T., et al. (2011b). Recruitment of prefrontal cortical endocannabinoid signaling by glucocorticoids contributes to termination of the stress response. J. Neurosci. 31, 10506–10515. doi: 10.1523/JNEUROSCI.0496-11.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Hill, M. N., Hillard, C. J., and McEwen, B. S. (2011a). Alterations in corticolimbic dendritic morphology and emotional behavior in cannabinoid CB1 receptor-deficient mice parallel the effects of chronic stress. Cereb. Cortex 21, 2056–2064. doi: 10.1093/cercor/bhq280

PubMed Abstract | CrossRef Full Text | Google Scholar

Hill, M. N., Karatsoreos, I. N., Hillard, C. J., and McEwen, B. S. (2010). Rapid elevations in limbic endocannabinoid content by glucocorticoid hormones in vivo. Psychoneuroendocrinology 35, 1333–1338. doi: 10.1016/j.psyneuen.2010.03.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Hill, M. N., Kumar, S. A., Filipski, S. B., Iverson, M., Stuhr, K. L., Keith, J. M., et al. (2013). Disruption of fatty acid amide hydrolase activity prevents the effects of chronic stress on anxiety and amygdalar microstructure. Mol. Psychiatry 18, 1125–1135. doi: 10.1038/mp.2012.90

PubMed Abstract | CrossRef Full Text | Google Scholar

Hill, M. N., and McEwen, B. S. (2009). Endocannabinoids: The silent partner of glucocorticoids in the synapse. Proc. Natl. Acad. Sci. U.S.A. 106, 4579–4580. doi: 10.1073/pnas.0901519106

PubMed Abstract | CrossRef Full Text | Google Scholar

Hill, M. N., McLaughlin, R. J., Morrish, A. C., Viau, V., Floresco, S. B., Hillard, C. J., et al. (2009). Suppression of amygdalar endocannabinoid signaling by stress contributes to activation of the hypothalamic-pituitary-adrenal axis. Neuropsychopharmacology 34, 2733–2745. doi: 10.1038/npp.2009.114

PubMed Abstract | CrossRef Full Text | Google Scholar

Hillen, H. (2019). The Beta Amyloid Dysfunction (BAD) hypothesis for Alzheimer’s disease. Front. Neurosci. 13:1154. doi: 10.3389/fnins.2019.01154

CrossRef Full Text | Google Scholar

Hodges, J. R. (2006). Alzheimer’s centennial legacy: Origins, landmarks and the current status of knowledge concerning cognitive aspects. Brain 129(Pt 11), 2811–2822. doi: 10.1093/brain/awl275

PubMed Abstract | CrossRef Full Text | Google Scholar

Hollis, F., Sevelinges, Y., Grosse, J., Zanoletti, O., and Sandi, C. (2016). Involvement of CRFR1 in the basolateral amygdala in the immediate fear extinction deficit. eNeuro 3:ENEURO.84–ENEURO.16. doi: 10.1523/ENEURO.0084-16.2016

CrossRef Full Text | Google Scholar

Hopperton, K. E., Mohammad, D., Trepanier, M. O., Giuliano, V., and Bazinet, R. P. (2018). Markers of microglia in post-mortem brain samples from patients with Alzheimer’s disease: A systematic review. Mol. Psychiatry 23, 177–198. doi: 10.1038/mp.2017.246

PubMed Abstract | CrossRef Full Text | Google Scholar

Howlett, A. C., Barth, F., Bonner, T. I., Cabral, G., Casellas, P., Devane, W. A., et al. (2002). International union of pharmacology. XXVII. Classification of cannabinoid receptors. Pharmacol. Rev. 54, 161–202.

Google Scholar

Huang, H. J., Chen, S. L., Huang, H. Y., Sun, Y. C., Lee, G. C., Lee-Chen, G. J., et al. (2019). Chronic low dose of AM404 ameliorates the cognitive impairment and pathological features in hyperglycemic 3xTg-AD mice. Psychopharmacology (Berl) 236, 763–773. doi: 10.1007/s00213-018-5108-0

CrossRef Full Text | Google Scholar

Iba, M., McBride, J. D., Guo, J. L., Zhang, B., Trojanowski, J. Q., and Lee, V. M. (2015). Tau pathology spread in PS19 tau transgenic mice following locus coeruleus (LC) injections of synthetic tau fibrils is determined by the LC’s afferent and efferent connections. Acta Neuropathol. 130, 349–362. doi: 10.1007/s00401-015-1458-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Ishii, M., and Iadecola, C. (2015). Metabolic and non-cognitive manifestations of Alzheimer’s disease: The hypothalamus as both culprit and target of pathology. Cell Metab. 22, 761–776.

Google Scholar

Jack, C. R. Jr., Albert, M. S., Knopman, D. S., McKhann, G. M., Sperling, R. A., Carrillo, M. C., et al. (2011). Introduction to the recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 7, 257–262. doi: 10.1016/j.jalz.2011.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Jack, C. R. Jr., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., et al. (2018). NIA-AA research framework: Toward a biological definition of Alzheimer’s disease. Alzheimers Dement. 14, 535–562. doi: 10.1016/j.jalz.2018.02.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Jain, R., Zwickler, D., Hollander, C. S., Brand, H., Saperstein, A., Hutchinson, B., et al. (1991). Corticotropin-releasing factor modulates the immune response to stress in the rat. Endocrinology 128, 1329–1336.

Google Scholar

Jutras, M. J., and Buffalo, E. A. (2010). Synchronous neural activity and memory formation. Curr. Opin. Neurobiol. 20, 150–155.

Google Scholar

Kalaria, R. N., Andorn, A. C., Tabaton, M., Whitehouse, P. J., Harik, S. I., and Unnerstall, J. R. (1989). Adrenergic receptors in aging and Alzheimer’s disease: Increased beta 2-receptors in prefrontal cortex and hippocampus. J. Neurochem. 53, 1772–1781. doi: 10.1111/j.1471-4159.1989.tb09242.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kalinin, S., Gavrilyuk, V., Polak, P. E., Vasser, R., Zhao, J., Heneka, M. T., et al. (2007). Noradrenaline deficiency in brain increases beta-amyloid plaque burden in an animal model of Alzheimer’s disease. Neurobiol. Aging 28, 1206–1214. doi: 10.1016/j.neurobiolaging.2006.06.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Kalinin, S., Polak, P. E., Lin, S. X., Sakharkar, A. J., Pandey, S. C., and Feinstein, D. L. (2012). The noradrenaline precursor L-DOPS reduces pathology in a mouse model of Alzheimer’s disease. Neurobiol. Aging 33, 1651–1663. doi: 10.1016/j.neurobiolaging.2011.04.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Kametani, F., and Hasegawa, M. (2018). Reconsideration of amyloid hypothesis and tau hypothesis in Alzheimer’s disease. Front. Neurosci. 12:25. doi: 10.3389/fnins.2018.00025

CrossRef Full Text | Google Scholar

Kang, J. E., Cirrito, J. R., Dong, H., Csernansky, J. G., and Holtzman, D. M. (2007). Acute stress increases interstitial fluid amyloid-beta via corticotropin-releasing factor and neuronal activity. Proc. Natl. Acad. Sci. U.S.A. 104, 10673–10678. doi: 10.1073/pnas.0700148104

PubMed Abstract | CrossRef Full Text | Google Scholar

Katsouri, L., Vizcaychipi, M. P., McArthur, S., Harrison, I., Suarez-Calvet, M., Lleo, A., et al. (2013). Prazosin, an alpha(1)-adrenoceptor antagonist, prevents memory deterioration in the APP23 transgenic mouse model of Alzheimer’s disease. Neurobiol. Aging 34, 1105–1115. doi: 10.1016/j.neurobiolaging.2012.09.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Kerbrat, A., Ferre, J. C., Fillatre, P., Ronziere, T., Vannier, S., Carsin-Nicol, B., et al. (2016). Acute neurologic disorder from an inhibitor of fatty acid amide hydrolase. N. Engl. J. Med. 375, 1717–1725.

Google Scholar

Keren-Shaul, H., Spinrad, A., Weiner, A., Matcovitch-Natan, O., Dvir-Szternfeld, R., Ulland, T. K., et al. (2017). A unique microglia type associated with restricting development of Alzheimer’s disease. Cell 169, 1276.e17–1290.e17. doi: 10.1016/j.cell.2017.05.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Khodadadi, H., Salles, E. L., Jarrahi, A., Khan, M., Yu, J. C., Morgan, J. C., et al. (2021). Effects of cannabidiol (CBD) treatment in a mouse model of Alzheimer’s disease through regulation of Interleukin-5. Alzheimers Dement. 17:e054009.

Google Scholar

Kiang, J. G., Wang, X., and McClain, D. E. (1994). Corticotropin-releasing factor increases protein kinase C activity by elevating membrane-bound alpha and beta isoforms. Chin. J. Physiol. 37, 105–110.

PubMed Abstract | Google Scholar

Klimek, V., Stockmeier, C., Overholser, J., Meltzer, H. Y., Kalka, S., Dilley, G., et al. (1997). Reduced levels of norepinephrine transporters in the locus coeruleus in major depression. J. Neurosci. 17, 8451–8458.

Google Scholar

Klotz, L., Sastre, M., Kreutz, A., Gavrilyuk, V., Klockgether, T., Feinstein, D. L., et al. (2003). Noradrenaline induces expression of peroxisome proliferator activated receptor gamma (PPARgamma) in murine primary astrocytes and neurons. J. Neurochem. 86, 907–916. doi: 10.1046/j.1471-4159.2003.01909.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Knauber, J., and Muller, W. E. (2000). Subchronic treatment with prazosin improves passive avoidance learning in aged mice: Possible relationships to alpha1-receptor up-regulation. J. Neural. Transm. (Vienna) 107, 1413–1426. doi: 10.1007/s007020070005

PubMed Abstract | CrossRef Full Text | Google Scholar

Kreilaus, F., Przybyla, M., Ittner, L., and Karl, T. (2022). Cannabidiol (CBD) treatment improves spatial memory in 14-month-old female TAU58/2 transgenic mice. Behav. Brain Res. 425:113812. doi: 10.1016/j.bbr.2022.113812

CrossRef Full Text | Google Scholar

Krstic, D., and Knuesel, I. (2013). Deciphering the mechanism underlying late-onset Alzheimer disease. Nat. Rev. Neurol. 9, 25–34.

Google Scholar

Lante, F., Chafai, M., Raymond, E. F., Pereira, A. R., Mouska, X., Kootar, S., et al. (2015). Subchronic glucocorticoid receptor inhibition rescues early episodic memory and synaptic plasticity deficits in a mouse model of Alzheimer’s disease. Neuropsychopharmacology 40, 1772–1781. doi: 10.1038/npp.2015.25

PubMed Abstract | CrossRef Full Text | Google Scholar

Laprairie, R. B., Bagher, A. M., Kelly, M. E., and Denovan-Wright, E. M. (2015). Cannabidiol is a negative allosteric modulator of the cannabinoid CB1 receptor. Br. J. Pharmacol. 172, 4790–4805.

Google Scholar

Le, M. H., Weissmiller, A. M., Monte, L., Lin, P. H., Hexom, T. C., Natera, O., et al. (2016). Functional impact of corticotropin-releasing factor exposure on tau phosphorylation and axon transport. PLoS One 11:e0147250. doi: 10.1371/journal.pone.0147250

CrossRef Full Text | Google Scholar

Lee, M., McGeer, E., and McGeer, P. L. (2015). Activated human microglia stimulate neuroblastoma cells to upregulate production of beta amyloid protein and tau: Implications for Alzheimer’s disease pathogenesis. Neurobiol. Aging 36, 42–52. doi: 10.1016/j.neurobiolaging.2014.07.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Lesscher, H. M., McMahon, T., Lasek, A. W., Chou, W. H., Connolly, J., Kharazia, V., et al. (2008). Amygdala protein kinase C epsilon regulates corticotropin-releasing factor and anxiety-like behavior. Genes Brain Behav. 7, 323–333.

Google Scholar

Lesuis, S. L., Weggen, S., Baches, S., Lucassen, P. J., and Krugers, H. J. (2018). Targeting glucocorticoid receptors prevents the effects of early life stress on amyloid pathology and cognitive performance in APP/PS1 mice. Transl. Psychiatry 8:53. doi: 10.1038/s41398-018-0101-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Levin, J., Voglein, J., Quiroz, Y. T., Bateman, R. J., Ghisays, V., Lopera, F., et al. (2022). Testing the amyloid cascade hypothesis: Prevention trials in autosomal dominant Alzheimer disease. Alzheimers Dement. [Epub ahead of print]. doi: 10.1002/alz.12624

CrossRef Full Text | Google Scholar

Lichlyter, D. A., Krumm, Z. A., Golde, T. A., and Dore, S. (2022). Role of CRF and the hypothalamic-pituitary-adrenal axis in stroke: Revisiting temporal considerations and targeting a new generation of therapeutics. FEBS J. [Epub ahead of print]. doi: 10.1111/febs.16380

CrossRef Full Text | Google Scholar

Liu, K. Y., Stringer, A. E., Reeves, S. J., and Howard, R. J. (2018). The neurochemistry of agitation in Alzheimer’s disease: A systematic review. Ageing Res. Rev. 43, 99–107. doi: 10.1016/j.arr.2018.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Lopez, A., Aparicio, N., Pazos, M. R., Grande, M. T., Barreda-Manso, M. A., Benito-Cuesta, I., et al. (2018). Cannabinoid CB2 receptors in the mouse brain: Relevance for Alzheimer’s disease. J. Neuroinflamm. 15:158.

Google Scholar

Lopez-Gonzalez, I., Schluter, A., Aso, E., Garcia-Esparcia, P., Ansoleaga, B., LLorens, F., et al. (2015). Neuroinflammatory signals in Alzheimer disease and APP/PS1 transgenic mice: Correlations with plaques, tangles, and oligomeric species. J. Neuropathol. Exp. Neurol. 74, 319–344. doi: 10.1097/NEN.0000000000000176

PubMed Abstract | CrossRef Full Text | Google Scholar

Mackie, K., Devane, W. A., and Hille, B. (1993). Anandamide, an endogenous cannabinoid, inhibits calcium currents as a partial agonist in N18 neuroblastoma cells. Mol. Pharmacol. 44, 498–503.

PubMed Abstract | Google Scholar

Maguire, J., and Salpekar, J. A. (2013). Stress, seizures, and hypothalamic-pituitary-adrenal axis targets for the treatment of epilepsy. Epilepsy Behav. 26, 352–362.

Google Scholar

Mann, D. M., Lincoln, J., Yates, P. O., Stamp, J. E., and Toper, S. (1980). Changes in the monoamine containing neurones of the human CNS in senile dementia. Br. J. Psychiatry 136, 533–541. doi: 10.1192/bjp.136.6.533

PubMed Abstract | CrossRef Full Text | Google Scholar

Manuel, I., Gonzalez de San Roman, E., Giralt, M. T., Ferrer, I., and Rodriguez-Puertas, R. (2014). Type-1 cannabinoid receptor activity during Alzheimer’s disease progression. J. Alzheimers Dis. 42, 761–766.

Google Scholar

Mathys, H., Adaikkan, C., Gao, F., Young, J. Z., Manet, E., Hemberg, M., et al. (2017). Temporal tracking of microglia activation in neurodegeneration at single-cell resolution. Cell Rep. 21, 366–380.

Google Scholar

Matthews, K. L., Chen, C. P., Esiri, M. M., Keene, J., Minger, S. L., and Francis, P. T. (2002). Noradrenergic changes, aggressive behavior, and cognition in patients with dementia. Biol. Psychiatry 51, 407–416.

Google Scholar

Mayo, L. M., Asratian, A., Linde, J., Morena, M., Haataja, R., Hammar, V., et al. (2020). Elevated anandamide, enhanced recall of fear extinction, and attenuated stress responses following inhibition of fatty acid amide hydrolase: A randomized, controlled experimental medicine trial. Biol. Psychiatry 87, 538–547. doi: 10.1016/j.biopsych.2019.07.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Mayo, L. M., Rabinak, C. A., Hill, M. N., and Heilig, M. (2022). Targeting the endocannabinoid system in the treatment of posttraumatic stress disorder: A promising case of preclinical-clinical translation? Biol. Psychiatry 91, 262–272. doi: 10.1016/j.biopsych.2021.07.019

PubMed Abstract | CrossRef Full Text | Google Scholar

McCulley, M. C., Day, I. N., and Holmes, C. (2004). Association between interleukin 1-beta promoter (-511) polymorphism and depressive symptoms in Alzheimer’s disease. Am. J. Med. Genet. B Neuropsychiatr. Genet. 124B:50–53. doi: 10.1002/ajmg.b.20086

PubMed Abstract | CrossRef Full Text | Google Scholar

McDuff, T., and Sumi, S. M. (1985). Subcortical degeneration in Alzheimer’s disease. Neurology 35, 123–126.

Google Scholar

McEwen, B. S. (2004). Protection and damage from acute and chronic stress: Allostasis and allostatic overload and relevance to the pathophysiology of psychiatric disorders. Ann. N. Y. Acad. Sci. 1032, 1–7. doi: 10.1196/annals.1314.001

PubMed Abstract | CrossRef Full Text | Google Scholar

McEwen, B. S., and Gianaros, P. J. (2011). Stress- and allostasis-induced brain plasticity. Annu. Rev. Med. 62, 431–445. doi: 10.1146/annurev-med-052209-100430

PubMed Abstract | CrossRef Full Text | Google Scholar

McEwen, B. S., and Magarinos, A. M. (2001). Stress and hippocampal plasticity: Implications for the pathophysiology of affective disorders. Hum. Psychopharmacol. 16, S7–S19.

Google Scholar

McEwen, B. S., and Morrison, J. H. (2013). The brain on stress: Vulnerability and plasticity of the prefrontal cortex over the life course. Neuron 79, 16–29.

Google Scholar

McKeith, I., and Cummings, J. (2005). Behavioural changes and psychological symptoms in dementia disorders. Lancet Neurol. 4, 735–742.

Google Scholar

McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., and Stadlan, E. M. (1984). Clinical diagnosis of Alzheimer’s disease: Report of the NINCDS-ADRDA work group under the auspices of department of health and human services task force on Alzheimer’s disease. Neurology 34, 939–944. doi: 10.1212/wnl.34.7.939

PubMed Abstract | CrossRef Full Text | Google Scholar

McLaughlin, R. J., Hill, M. N., and Gorzalka, B. B. (2009). Monoaminergic neurotransmission contributes to cannabinoid-induced activation of the hypothalamic-pituitary-adrenal axis. Eur. J. Pharmacol. 624, 71–76. doi: 10.1016/j.ejphar.2009.09.055

PubMed Abstract | CrossRef Full Text | Google Scholar

Mechoulam, R., and Shohami, E. (2007). Endocannabinoids and traumatic brain injury. Mol. Neurobiol. 36, 68–74.

Google Scholar

Medina-Vera, D., Rosell-Valle, C., Lopez-Gambero, A. J., Navarro, J. A., Zambrana-Infantes, E. N., Rivera, P., et al. (2020). Imbalance of Endocannabinoid/Lysophosphatidylinositol receptors marks the severity of Alzheimer’s disease in a preclinical model: A therapeutic opportunity. Biology (Basel) 9, 377. doi: 10.3390/biology9110377

CrossRef Full Text | Google Scholar

Mendez, M. F. (2012). Early-onset Alzheimer’s disease: Nonamnestic subtypes and type 2 AD. Arch. Med. Res. 43, 677–685.

Google Scholar

Mendiguren, A., and Pineda, J. (2006). Systemic effect of cannabinoids on the spontaneous firing rate of locus coeruleus neurons in rats. Eur. J. Pharmacol. 534, 83–88. doi: 10.1016/j.ejphar.2006.01.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Mendiguren, A., and Pineda, J. (2007). CB(1) cannabinoid receptors inhibit the glutamatergic component of KCl-evoked excitation of locus coeruleus neurons in rat brain slices. Neuropharmacology 52, 617–625. doi: 10.1016/j.neuropharm.2006.09.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Mirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., et al. (1991). The consortium to establish a registry for Alzheimer’s disease (CERAD). Part II. Standardization of the neuropathologic assessment of Alzheimer’s disease. Neurology 41, 479–486. doi: 10.1212/wnl.41.4.479

PubMed Abstract | CrossRef Full Text | Google Scholar

Muntoni, A. L., Pillolla, G., Melis, M., Perra, S., Gessa, G. L., and Pistis, M. (2006). Cannabinoids modulate spontaneous neuronal activity and evoked inhibition of locus coeruleus noradrenergic neurons. Eur. J. Neurosci. 23, 2385–2394. doi: 10.1111/j.1460-9568.2006.04759.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Nestor, P. J., Scheltens, P., and Hodges, J. R. (2004). Advances in the early detection of Alzheimer’s disease. Nat. Med. 10, S34–S41.

Google Scholar

Ni, Y., Zhao, X., Bao, G., Zou, L., Teng, L., Wang, Z., et al. (2006). Activation of beta2-adrenergic receptor stimulates gamma-secretase activity and accelerates amyloid plaque formation. Nat. Med. 12, 1390–1396. doi: 10.1038/nm1485

PubMed Abstract | CrossRef Full Text | Google Scholar

Nixon, R. A., Wegiel, J., Kumar, A., Yu, W. H., Peterhoff, C., Cataldo, A., et al. (2005). Extensive involvement of autophagy in Alzheimer disease: An immuno-electron microscopy study. J. Neuropathol. Exp. Neurol. 64, 113–122. doi: 10.1093/jnen/64.2.113

PubMed Abstract | CrossRef Full Text | Google Scholar

Oakley, H., Cole, S. L., Logan, S., Maus, E., Shao, P., Craft, J., et al. (2006). Intraneuronal beta-amyloid aggregates, neurodegeneration, and neuron loss in transgenic mice with five familial Alzheimer’s disease mutations: Potential factors in amyloid plaque formation. J. Neurosci. 26, 10129–10140. doi: 10.1523/JNEUROSCI.1202-06.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

O’Donnell, J., Zeppenfeld, D., McConnell, E., Pena, S., and Nedergaard, M. (2012). Norepinephrine: A neuromodulator that boosts the function of multiple cell types to optimize CNS performance. Neurochem. Res. 37, 2496–2512. doi: 10.1007/s11064-012-0818-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Ordway, G. A., Schenk, J., Stockmeier, C. A., May, W., and Klimek, V. (2003). Elevated agonist binding to alpha2-adrenoceptors in the locus coeruleus in major depression. Biol. Psychiatry 53, 315–323. doi: 10.1016/s0006-3223(02)01728-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Ordway, G. A., Stockmeier, C. A., Cason, G. W., and Klimek, V. (1997). Pharmacology and distribution of norepinephrine transporters in the human locus coeruleus and raphe nuclei. J. Neurosci. 17, 1710–1719.

Google Scholar

Oropeza, V. C., Mackie, K., and Van Bockstaele, E. J. (2007). Cannabinoid receptors are localized to noradrenergic axon terminals in the rat frontal cortex. Brain Res. 1127, 36–44.

Google Scholar

Oropeza, V. C., Page, M. E., and Van Bockstaele, E. J. (2005). Systemic administration of WIN 55,212-2 increases norepinephrine release in the rat frontal cortex. Brain Res. 1046, 45–54.

Google Scholar

Page, M. E., Oropeza, V. C., and Van Bockstaele, E. J. (2008). Local administration of a cannabinoid agonist alters norepinephrine efflux in the rat frontal cortex. Neurosci. Lett. 431, 1–5.

Google Scholar

Palop, J. J., Chin, J., Roberson, E. D., Wang, J., Thwin, M. T., Bien-Ly, N., et al. (2007). Aberrant excitatory neuronal activity and compensatory remodeling of inhibitory hippocampal circuits in mouse models of Alzheimer’s disease. Neuron 55, 697–711. doi: 10.1016/j.neuron.2007.07.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Palop, J. J., and Mucke, L. (2010a). Amyloid-beta-induced neuronal dysfunction in Alzheimer’s disease: From synapses toward neural networks. Nat. Neurosci. 13, 812–818. doi: 10.1038/nn.2583

PubMed Abstract | CrossRef Full Text | Google Scholar

Palop, J. J., and Mucke, L. (2010b). Synaptic depression and aberrant excitatory network activity in Alzheimer’s disease: Two faces of the same coin? Neuromol. Med. 12, 48–55. doi: 10.1007/s12017-009-8097-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Paredes-Ruiz, K. J., Chavira-Ramos, K., Orozco-Morales, M., Karasu, C., Tinkov, A. A., Aschner, M., et al. (2021). On the biomedical properties of endocannabinoid degradation and reuptake inhibitors: Pre-clinical and clinical evidence. Neurotox Res. 39, 2072–2097. doi: 10.1007/s12640-021-00424-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Patel, S., Roelke, C. T., Rademacher, D. J., and Hillard, C. J. (2005). Inhibition of restraint stress-induced neural and behavioural activation by endogenous cannabinoid signalling. Eur. J. Neurosci. 21, 1057–1069.

Google Scholar

Pedrazzoli, M., Losurdo, M., Paolone, G., Medelin, M., Jaupaj, L., Cisterna, B., et al. (2019). Glucocorticoid receptors modulate dendritic spine plasticity and microglia activity in an animal model of Alzheimer’s disease. Neurobiol. Dis. 132:104568. doi: 10.1016/j.nbd.2019.104568

PubMed Abstract | CrossRef Full Text | Google Scholar

Pillet, L. E., Taccola, C., Cotoni, J., Thiriez, H., Andre, K., and Verpillot, R. (2020). Correlation between cognition and plasma noradrenaline level in Alzheimer’s disease: A potential new blood marker of disease evolution. Transl. Psychiatry 10:213.

Google Scholar

Puterman, E., Epel, E. S., O’Donovan, A., Prather, A. A., Aschbacher, K., and Dhabhar, F. S. (2014). Anger is associated with increased IL-6 stress reactivity in women, but only among those low in social support. Int. J. Behav. Med. 21, 936–945. doi: 10.1007/s12529-013-9368-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Rademacher, D. J., Meier, S. E., Shi, L., Ho, W. S., Jarrahian, A., and Hillard, C. J. (2008). Effects of acute and repeated restraint stress on endocannabinoid content in the amygdala, ventral striatum, and medial prefrontal cortex in mice. Neuropharmacology 54, 108–116. doi: 10.1016/j.neuropharm.2007.06.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Radley, J. J., Arias, C. M., and Sawchenko, P. E. (2006a). Regional differentiation of the medial prefrontal cortex in regulating adaptive responses to acute emotional stress. J. Neurosci. 26, 12967–12976. doi: 10.1523/JNEUROSCI.4297-06.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

Radley, J. J., Rocher, A. B., Miller, M., Janssen, W. G., Liston, C., Hof, P. R., et al. (2006b). Repeated stress induces dendritic spine loss in the rat medial prefrontal cortex. Cereb. Cortex 16, 313–320. doi: 10.1093/cercor/bhi104

PubMed Abstract | CrossRef Full Text | Google Scholar

Radley, J. J., Rocher, A. B., Rodriguez, A., Ehlenberger, D. B., Dammann, M., McEwen, B. S., et al. (2008). Repeated stress alters dendritic spine morphology in the rat medial prefrontal cortex. J. Comp. Neurol. 507, 1141–1150.

Google Scholar

Radley, J. J., Sisti, H. M., Hao, J., Rocher, A. B., McCall, T., Hof, P. R., et al. (2004). Chronic behavioral stress induces apical dendritic reorganization in pyramidal neurons of the medial prefrontal cortex. Neuroscience 125, 1–6.

Google Scholar

Radulovic, M., Hippel, C., and Spiess, J. (2003). Corticotropin-releasing factor (CRF) rapidly suppresses apoptosis by acting upstream of the activation of caspases. J. Neurochem. 84, 1074–1085. doi: 10.1046/j.1471-4159.2003.01594.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Rajan, K. B., Weuve, J., Barnes, L. L., McAninch, E. A., Wilson, R. S., and Evans, D. A. (2021). Population estimate of people with clinical Alzheimer’s disease and mild cognitive impairment in the United States (2020-2060). Alzheimers Dement. 17, 1966–1975. doi: 10.1002/alz.12362

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramírez, B. G., Blázquez, C., del Pulgar, T. G., Guzmán, M., and de Ceballos, M. L. (2005). Prevention of Alzheimer’s disease pathology by cannabinoids: Neuroprotection mediated by blockade of microglial activation. J. Neurosci. 25, 1904–1913. doi: 10.1523/JNEUROSCI.4540-04.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramirez, S. H., Hasko, J., Skuba, A., Fan, S., Dykstra, H., McCormick, R., et al. (2012). Activation of cannabinoid receptor 2 attenuates leukocyte-endothelial cell interactions and blood-brain barrier dysfunction under inflammatory conditions. J. Neurosci. 32, 4004–4016. doi: 10.1523/JNEUROSCI.4628-11.2012

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramos, B. P., Colgan, L., Nou, E., Ovadia, S., Wilson, S. R., and Arnsten, A. F. (2005). The beta-1 adrenergic antagonist, betaxolol, improves working memory performance in rats and monkeys. Biol. Psychiatry 58, 894–900. doi: 10.1016/j.biopsych.2005.05.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramos, B. P., Colgan, L. A., Nou, E., and Arnsten, A. F. (2008). Beta2 adrenergic agonist, clenbuterol, enhances working memory performance in aging animals. Neurobiol. Aging 29, 1060–1069. doi: 10.1016/j.neurobiolaging.2007.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Reyes, B. A., Bangasser, D. A., Valentino, R. J., and Van Bockstaele, E. J. (2014). Using high resolution imaging to determine trafficking of corticotropin-releasing factor receptors in noradrenergic neurons of the rat locus coeruleus. Life Sci. 112, 2–9. doi: 10.1016/j.lfs.2014.07.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Reyes, B. A., Heldt, N. A., Mackie, K., and Van Bockstaele, E. J. (2015). Ultrastructural evidence for synaptic contacts between cortical noradrenergic afferents and endocannabinoid-synthesizing post-synaptic neurons. Neuroscience 303, 323–337. doi: 10.1016/j.neuroscience.2015.07.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Reyes, B. A., Valentino, R. J., and Van Bockstaele, E. J. (2008). Stress-induced intracellular trafficking of corticotropin-releasing factor receptors in rat locus coeruleus neurons. Endocrinology 149, 122–130. doi: 10.1210/en.2007-0705

PubMed Abstract | CrossRef Full Text | Google Scholar

Reyes, B. A., Valentino, R. J., Xu, G., and Van Bockstaele, E. J. (2005). Hypothalamic projections to locus coeruleus neurons in rat brain. Eur. J. Neurosci. 22, 93–106.

Google Scholar

Reyes, B. A. S., Carvalho, A. F., Szot, P., Kalamarides, D. J., Wang, Q., Kirby, L. G., et al. (2017). Cortical adrenoceptor expression, function and adaptation under conditions of cannabinoid receptor deletion. Exp. Neurol. 292, 179–192. doi: 10.1016/j.expneurol.2017.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Reynoso-Moreno, I., Najar-Guerrero, I., Escareno, N., Flores-Soto, M. E., Gertsch, J., and Viveros-Paredes, J. M. (2017). An endocannabinoid uptake inhibitor from black pepper exerts pronounced anti-inflammatory effects in mice. J. Agric. Food Chem. 65, 9435–9442. doi: 10.1021/acs.jafc.7b02979

PubMed Abstract | CrossRef Full Text | Google Scholar

Reynoso-Moreno, I., Tietz, S., Vallini, E., Engelhardt, B., Gertsch, J., and Chicca, A. (2021). Selective endocannabinoid reuptake inhibitor WOBE437 reduces disease progression in a mouse model of multiple sclerosis. ACS Pharmacol. Transl. Sci. 4, 765–779. doi: 10.1021/acsptsci.0c00214

PubMed Abstract | CrossRef Full Text | Google Scholar

Rissman, R. A., Lee, K. F., Vale, W., and Sawchenko, P. E. (2007). Corticotropin-releasing factor Receptors differentially regulate stress-induced tau phosphorylation. J. Neurosci. 27, 6552–6562. doi: 10.1523/JNEUROSCI.5173-06.2007

PubMed Abstract | CrossRef Full Text | Google Scholar

Rissman, R. A., Staup, M. A., Lee, A. R., Justice, N. J., Rice, K. C., Vale, W., et al. (2012). Corticotropin-releasing factor receptor-dependent effects of repeated stress on tau phosphorylation, solubility, and aggregation. Proc. Natl. Acad. Sci. U.S.A. 109, 6277–6282. doi: 10.1073/pnas.1203140109

PubMed Abstract | CrossRef Full Text | Google Scholar

Rock, E. M., Limebeer, C. L., Ward, J. M., Cohen, A., Grove, K., Niphakis, M. J., et al. (2015). Interference with acute nausea and anticipatory nausea in rats by fatty acid amide hydrolase (FAAH) inhibition through a PPARalpha and CB1 receptor mechanism, respectively: A double dissociation. Psychopharmacology (Berl.) 232, 3841–3848. doi: 10.1007/s00213-015-4050-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Rockwell, C. E., Snider, N. T., Thompson, J. T., Vanden Heuvel, J. P., and Kaminski, N. E. (2006). Interleukin-2 suppression by 2-arachidonyl glycerol is mediated through peroxisome proliferator-activated receptor gamma independently of cannabinoid receptors 1 and 2. Mol. Pharmacol. 70, 101–111. doi: 10.1124/mol.105.019117

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodrigue, K. M., Kennedy, K. M., and Park, D. C. (2009). Beta-amyloid deposition and the aging brain. Neuropsychol. Rev. 19, 436–450.

Google Scholar

Rohleder, N. (2019). Stress and inflammation - The need to address the gap in the transition between acute and chronic stress effects. Psychoneuroendocrinology 105, 164–171. doi: 10.1016/j.psyneuen.2019.02.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Roozendaal, B., Brunson, K. L., Holloway, B. L., McGaugh, J. L., and Baram, T. Z. (2002). Involvement of stress-released corticotropin-releasing hormone in the basolateral amygdala in regulating memory consolidation. Proc. Natl. Acad. Sci. U.S.A. 99, 13908–13913. doi: 10.1073/pnas.212504599

PubMed Abstract | CrossRef Full Text | Google Scholar

Rosen, J. B., Pishevar, S. K., Weiss, S. R., Smith, M. A., Kling, M. A., Gold, P. W., et al. (1994). Glucocorticoid treatment increases the ability of CRH to induce seizures. Neurosci. Lett. 174, 113–116. doi: 10.1016/0304-3940(94)90132-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Ross, J. A., Alexis, R., Reyes, B. A. S., Risbrough, V., and Van Bockstaele, E. J. (2019). Localization of amyloid beta peptides to locus coeruleus and medial prefrontal cortex in corticotropin releasing factor overexpressing male and female mice. Brain Struct. Funct. 224, 2385–2405. doi: 10.1007/s00429-019-01915-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Ross, J. A., Gliebus, G., and Van Bockstaele, E. J. (2018). Stress induced neural reorganization: A conceptual framework linking depression and Alzheimer’s disease. Prog. Neuropsychopharmacol. Biol. Psychiatry 85, 136–151. doi: 10.1016/j.pnpbp.2017.08.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Ross, J. A., McGonigle, P., and Van Bockstaele, E. J. (2015). Locus Coeruleus, norepinephrine and Abeta peptides in Alzheimer’s disease. Neurobiol. Stress 2, 73–84.

Google Scholar

Sanders, J. D., Szot, P., Weinshenker, D., Happe, H. K., Bylund, D. B., and Murrin, L. C. (2006). Analysis of brain adrenergic receptors in dopamine-beta-hydroxylase knockout mice. Brain Res. 1109, 45–53.

Google Scholar

Saper, C. B., and German, D. C. (1987). Hypothalamic pathology in Alzheimer’s disease. Neurosci. Lett. 74, 364–370.

Google Scholar

Saperstein, A., Brand, H., Audhya, T., Nabriski, D., Hutchinson, B., Rosenzweig, S., et al. (1992). Interleukin 1 beta mediates stress-induced immunosuppression via corticotropin-releasing factor. Endocrinology 130, 152–158. doi: 10.1210/endo.130.1.1309324

PubMed Abstract | CrossRef Full Text | Google Scholar

Savinainen, J. R., Jarvinen, T., Laine, K., and Laitinen, J. T. (2001). Despite substantial degradation, 2-arachidonoylglycerol is a potent full efficacy agonist mediating CB(1) receptor-dependent G-protein activation in rat cerebellar membranes. Br. J. Pharmacol. 134, 664–672. doi: 10.1038/sj.bjp.0704297

PubMed Abstract | CrossRef Full Text | Google Scholar

Scavone, J. L., Mackie, K., and Van Bockstaele, E. J. (2010). Characterization of cannabinoid-1 receptors in the locus coeruleus: Relationship with mu-opioid receptors. Brain Res. 1312, 18–31. doi: 10.1016/j.brainres.2009.11.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Schmidt, C., Becker, H., and Zerr, I. (2014). Cerebrospinal fluid apolipoprotein E concentration and severity of cognitive impairment in patients with newly diagnosed Alzheimer’s disease. Am. J. Alzheimers Dis. Other Dement. 29, 54–60.

Google Scholar

Schubert, D., Kepchia, D., Liang, Z., Dargusch, R., Goldberg, J., and Maher, P. (2019). Efficacy of cannabinoids in a pre-clinical drug-screening platform for Alzheimer’s disease. Mol. Neurobiol. 56, 7719–7730. doi: 10.1007/s12035-019-1637-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Scullion, G. A., Kendall, D. A., Marsden, C. A., Sunter, D., and Pardon, M. C. (2011). Chronic treatment with the alpha2-adrenoceptor antagonist fluparoxan prevents age-related deficits in spatial working memory in APPxPS1 transgenic mice without altering beta-amyloid plaque load or astrocytosis. Neuropharmacology 60, 223–234.

Google Scholar

Segerstrom, S. C., and Miller, G. E. (2004). Psychological stress and the human immune system: A meta-analytic study of 30 years of inquiry. Psychol. Bull. 130, 601–630. doi: 10.1037/0033-2909.130.4.601

PubMed Abstract | CrossRef Full Text | Google Scholar

Selvaraj, P., Wen, J., Tanaka, M., and Zhang, Y. (2019). Therapeutic effect of a novel fatty acid amide hydrolase inhibitor PF04457845 in the repetitive closed head injury mouse model. J. Neurotrauma 36, 1655–1669. doi: 10.1089/neu.2018.6226

PubMed Abstract | CrossRef Full Text | Google Scholar

Sesack, S. R., Deutch, A. Y., Roth, R. H., and Bunney, B. S. (1989). Topographical organization of the efferent projections of the medial prefrontal cortex in the rat: An anterograde tract-tracing study with Phaseolus vulgaris leucoagglutinin. J. Comp. Neurol. 290, 213–242. doi: 10.1002/cne.902900205

PubMed Abstract | CrossRef Full Text | Google Scholar

Shekhar, A., Truitt, W., Rainnie, D., and Sajdyk, T. (2005). Role of stress, corticotrophin releasing factor (CRF) and amygdala plasticity in chronic anxiety. Stress 8, 209–219.

Google Scholar

Smith, S. M., and Vale, W. W. (2006). The role of the hypothalamic-pituitary-adrenal axis in neuroendocrine responses to stress. Dialogues Clin. Neurosci. 8, 383–395.

Google Scholar

Sontag, T. A., Hauser, J., Kaunzinger, I., Gerlach, M., Tucha, O., and Lange, K. W. (2008). Effects of the noradrenergic neurotoxin DSP4 on spatial memory in the rat. J. Neural. Transm. (Vienna) 115, 299–303.

Google Scholar

Stefanova, N. A., Muraleva, N. A., Korbolina, E. E., Kiseleva, E., Maksimova, K. Y., and Kolosova, N. G. (2015). Amyloid accumulation is a late event in sporadic Alzheimer’s disease-like pathology in nontransgenic rats. Oncotarget 6, 1396–1413. doi: 10.18632/oncotarget.2751

PubMed Abstract | CrossRef Full Text | Google Scholar

Steptoe, A., Owen, N., Kunz-Ebrecht, S., and Mohamed-Ali, V. (2002). Inflammatory cytokines, socioeconomic status, and acute stress responsivity. Brain Behav. Immun. 16, 774–784.

Google Scholar

Sutphen, C. L., Fagan, A. M., and Holtzman, D. M. (2014). Progress update: Fluid and imaging biomarkers in Alzheimer’s disease. Biol. Psychiatry 75, 520–526.

Google Scholar

Swinny, J. D., and Valentino, R. J. (2006). Corticotropin-releasing factor promotes growth of brain norepinephrine neuronal processes through Rho GTPase regulators of the actin cytoskeleton in rat. Eur. J. Neurosci. 24, 2481–2490. doi: 10.1111/j.1460-9568.2006.05129.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Szot, P., White, S. S., Greenup, J. L., Leverenz, J. B., Peskind, E. R., and Raskind, M. A. (2006). Compensatory changes in the noradrenergic nervous system in the locus ceruleus and hippocampus of postmortem subjects with Alzheimer’s disease and dementia with Lewy bodies. J. Neurosci. 26, 467–478. doi: 10.1523/JNEUROSCI.4265-05.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

Tarasoff-Conway, J. M., Carare, R. O., Osorio, R. S., Glodzik, L., Butler, T., Fieremans, E., et al. (2015). Clearance systems in the brain-implications for Alzheimer disease. Nat. Rev. Neurol. 11, 457–470. doi: 10.1038/nrneurol.2015.119

PubMed Abstract | CrossRef Full Text | Google Scholar

Thal, D. R., Rub, U., Orantes, M., and Braak, H. (2002). Phases of A beta-deposition in the human brain and its relevance for the development of AD. Neurology 58, 1791–1800.

Google Scholar

Thayer, J. F., and Brosschot, J. F. (2005). Psychosomatics and psychopathology: Looking up and down from the brain. Psychoneuroendocrinology 30, 1050–1058. doi: 10.1016/j.psyneuen.2005.04.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Thayer, J. F., and Sternberg, E. (2006). Beyond heart rate variability: Vagal regulation of allostatic systems. Ann. N. Y. Acad. Sci. 1088, 361–372. doi: 10.1196/annals.1366.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Theofilas, P., Ehrenberg, A. J., Dunlop, S., Di Lorenzo Alho, A. T., Nguy, A., Leite, R. E. P., et al. (2017). Locus coeruleus volume and cell population changes during Alzheimer’s disease progression: A stereological study in human postmortem brains with potential implication for early-stage biomarker discovery. Alzheimers Dement. 13, 236–246. doi: 10.1016/j.jalz.2016.06.2362

PubMed Abstract | CrossRef Full Text | Google Scholar

Tolon, R. M., Nunez, E., Pazos, M. R., Benito, C., Castillo, A. I., Martinez-Orgado, J. A., et al. (2009). The activation of cannabinoid CB2 receptors stimulates in situ and in vitro beta-amyloid removal by human macrophages. Brain Res. 1283, 148–154. doi: 10.1016/j.brainres.2009.05.098

PubMed Abstract | CrossRef Full Text | Google Scholar

Tonnies, E., and Trushina, E. (2017). Oxidative stress, synaptic dysfunction, and Alzheimer’s disease. J. Alzheimers Dis. 57, 1105–1121.

Google Scholar

Tulba, D., Cozma, L., Popescu, B. O., and Davidescu, E. I. (2020). Dysautonomia in Alzheimer’s disease. Medicina (Kaunas) 56:337.

Google Scholar

Umegaki, H., Ikari, H., Nakahata, H., Endo, H., Suzuki, Y., Ogawa, O., et al. (2000). Plasma cortisol levels in elderly female subjects with Alzheimer’s disease: A cross-sectional and longitudinal study. Brain Res. 881, 241–243.

Google Scholar

Urquhart, M. A., Ross, J. A., Reyes, B. A. S., Nitikman, M., Thomas, S. A., Mackie, K., et al. (2019). Noradrenergic depletion causes sex specific alterations in the endocannabinoid system in the Murine prefrontal cortex. Neurobiol. Stress 10:100164. doi: 10.1016/j.ynstr.2019.100164

PubMed Abstract | CrossRef Full Text | Google Scholar

Valentino, R. J., Chen, S., Zhu, Y., and Aston-Jones, G. (1996). Evidence for divergent projections to the brain noradrenergic system and the spinal parasympathetic system from Barrington’s nucleus. Brain Res. 732, 1–15. doi: 10.1016/0006-8993(96)00482-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Valentino, R. J., Curtis, A. L., Page, M. E., Pavcovich, L. A., and Florin-Lechner, S. M. (1998). Activation of the locus ceruleus brain noradrenergic system during stress: Circuitry, consequences, and regulation. Adv. Pharmacol. 42, 781–784. doi: 10.1016/s1054-3589(08)60863-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Valentino, R. J., and Van Bockstaele, E. (2008). Convergent regulation of locus coeruleus activity as an adaptive response to stress. Eur. J. Pharmacol. 583, 194–203.

Google Scholar

Vallee, A., Lecarpentier, Y., Guillevin, R., and Vallee, J. N. (2017). Effects of cannabidiol interactions with Wnt/beta-catenin pathway and PPARgamma on oxidative stress and neuroinflammation in Alzheimer’s disease. Acta Biochim. Biophys. Sin. (Shanghai) 49, 853–866. doi: 10.1093/abbs/gmx073

PubMed Abstract | CrossRef Full Text | Google Scholar

Van Bockstaele, E. J., Bajic, D., Proudfit, H., and Valentino, R. J. (2001). Topographic architecture of stress-related pathways targeting the noradrenergic locus coeruleus. Physiol. Behav. 73, 273–283. doi: 10.1016/s0031-9384(01)00448-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Van Bockstaele, E. J., Colago, E. E., and Valentino, R. J. (1998). Amygdaloid corticotropin-releasing factor targets locus coeruleus dendrites: Substrate for the co-ordination of emotional and cognitive limbs of the stress response. J. Neuroendocrinol. 10, 743–757. doi: 10.1046/j.1365-2826.1998.00254.x

PubMed Abstract | CrossRef Full Text | Google Scholar

van der Stelt, M., Mazzola, C., Esposito, G., Matias, I., Petrosino, S., De Filippis, D., et al. (2006). Endocannabinoids and beta-amyloid-induced neurotoxicity in vivo: Effect of pharmacological elevation of endocannabinoid levels. Cell. Mol. Life Sci. 63, 1410–1424. doi: 10.1007/s00018-006-6037-3

PubMed Abstract | CrossRef Full Text | Google Scholar

van der Stelt, M., Veldhuis, W. B., Maccarrone, M., Bar, P. R., Nicolay, K., Veldink, G. A., et al. (2002). Acute neuronal injury, excitotoxicity, and the endocannabinoid system. Mol. Neurobiol. 26, 317–346. doi: 10.1385/MN:26:2-3:317

CrossRef Full Text | Google Scholar

Vandael, D., and Gounko, N. V. (2019). Corticotropin releasing factor-binding protein (CRF-BP) as a potential new therapeutic target in Alzheimer’s disease and stress disorders. Transl. Psychiatry 9:272. doi: 10.1038/s41398-019-0581-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Vazquez, C., Tolon, R. M., Grande, M. T., Caraza, M., Moreno, M., Koester, E. C., et al. (2015). Endocannabinoid regulation of amyloid-induced neuroinflammation. Neurobiol. Aging 36, 3008–3019.

Google Scholar

Vosler, P. S., Brennan, C. S., and Chen, J. (2008). Calpain-mediated signaling mechanisms in neuronal injury and neurodegeneration. Mol. Neurobiol. 38, 78–100.

Google Scholar

Vyas, A., Jadhav, S., and Chattarji, S. (2006). Prolonged behavioral stress enhances synaptic connectivity in the basolateral amygdala. Neuroscience 143, 387–393. doi: 10.1016/j.neuroscience.2006.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, D., Fu, Q., Zhou, Y., Xu, B., Shi, Q., Igwe, B., et al. (2013). beta2 adrenergic receptor, protein kinase A (PKA) and c-Jun N-terminal kinase (JNK) signaling pathways mediate tau pathology in Alzheimer disease models. J. Biol. Chem. 288, 10298–10307. doi: 10.1074/jbc.M112.415141

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, L., Liu, B. J., Cao, Y., Xu, W. Q., Sun, D. S., Li, M. Z., et al. (2018). Deletion of Type-2 cannabinoid receptor induces Alzheimer’s disease-like tau pathology and memory impairment through AMPK/GSK3beta pathway. Mol. Neurobiol. 55, 4731–4744. doi: 10.1007/s12035-017-0676-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, W. Y., Tan, M. S., Yu, J. T., and Tan, L. (2015). Role of pro-inflammatory cytokines released from microglia in Alzheimer’s disease. Ann. Transl. Med. 3:136.

Google Scholar

Watt, G., Shang, K., Zieba, J., Olaya, J., Li, H., Garner, B., et al. (2020). Chronic treatment with 50 mg/kg cannabidiol improves cognition and moderately reduces Abeta40 levels in 12-month-old male AbetaPPswe/PS1DeltaE9 transgenic mice. J. Alzheimers Dis. 74, 937–950. doi: 10.3233/JAD-191242

PubMed Abstract | CrossRef Full Text | Google Scholar

Wellman, C. L. (2001). Dendritic reorganization in pyramidal neurons in medial prefrontal cortex after chronic corticosterone administration. J. Neurobiol. 49, 245–253.

Google Scholar

Wu, Q., Sun, J. X., Song, X. H., Wang, J., Xiong, C. Q., Teng, F. X., et al. (2017). Blocking beta 2-adrenergic receptor inhibits dendrite ramification in a mouse model of Alzheimer’s disease. Neural. Regen. Res. 12, 1499–1506. doi: 10.4103/1673-5374.215261

PubMed Abstract | CrossRef Full Text | Google Scholar

Wyrofsky, R. R., Reyes, B. A. S., and Van Bockstaele, E. J. (2017). Co-localization of the cannabinoid type 1 receptor with corticotropin-releasing factor-containing afferents in the noradrenergic nucleus locus coeruleus: Implications for the cognitive limb of the stress response. Brain Struct. Funct. 222, 3007–3023. doi: 10.1007/s00429-017-1381-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Wyrofsky, R. R., Reyes, B. A. S., Yu, D., Kirby, L. G., and Van Bockstaele, E. J. (2018). Sex differences in the effect of cannabinoid type 1 receptor deletion on locus coeruleus-norepinephrine neurons and corticotropin releasing factor-mediated responses. Eur. J. Neurosci. 48, 2118–2138.

Google Scholar

Yamakawa, K., Matsunaga, M., Isowa, T., Kimura, K., Kasugai, K., Yoneda, M., et al. (2009). Transient responses of inflammatory cytokines in acute stress. Biol. Psychol. 82, 25–32.

Google Scholar

Yamamoto, N., Arima, H., Sugiura, T., Hirate, H., Kusama, N., Suzuki, K., et al. (2015). Midazolam inhibits the formation of amyloid fibrils and GM1 ganglioside-rich microdomains in presynaptic membranes through the gamma-aminobutyric acid A receptor. Biochem. Biophys. Res. Commun. 457, 547–553. doi: 10.1016/j.bbrc.2015.01.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, J. T., Wang, N. D., Ma, T., Jiang, H., Guan, J., and Tan, L. (2011). Roles of beta-adrenergic receptors in Alzheimer’s disease: Implications for novel therapeutics. Brain Res. Bull. 84, 111–117. doi: 10.1016/j.brainresbull.2010.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, C., Kuo, C. C., Moghadam, S. H., Monte, L., Rice, K. C., and Rissman, R. A. (2015). Corticotropin-releasing factor Receptor-1 antagonism reduces oxidative damage in an Alzheimer’s disease transgenic mouse model. J. Alzheimers Dis. 45, 639–650. doi: 10.3233/JAD-141722

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, F., Gannon, M., Chen, Y., Yan, S., Zhang, S., Feng, W., et al. (2020). Beta-amyloid redirects norepinephrine signaling to activate the pathogenic GSK3beta/tau cascade. Sci. Transl. Med. 12:eaay6931. doi: 10.1126/scitranslmed.aay6931

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, R., Luan, J., Hu, F., Lv, J., Zhang, J., Li, K., et al. (2020). Effect of (m)RVD-hemopressin against Abeta1-42-induced apoptosis and inhibition of neurite outgrowth in SH-SY5Y cells. Neuropeptides 81:102044. doi: 10.1016/j.npep.2020.102044

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., Liu, W., Ma, C., Geng, J., Li, Y., Li, S., et al. (2012). Endoplasmic reticulum stress contributes to CRH-induced hippocampal neuron apoptosis. Exp. Cell. Res. 318, 732–740. doi: 10.1016/j.yexcr.2012.01.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Z., Cordeiro Matos, S., Jego, S., Adamantidis, A., and Seguela, P. (2013). Norepinephrine drives persistent activity in prefrontal cortex via synergistic alpha1 and alpha2 adrenoceptors. PLoS One 8:e66122. doi: 10.1371/journal.pone.0066122

CrossRef Full Text | Google Scholar

Zou, S., and Kumar, U. (2018). Cannabinoid receptors and the endocannabinoid system: Signaling and function in the central nervous system. Int. J. Mol. Sci. 19:833.

Google Scholar

Keywords: stress, locus coeruleus (LC), corticotropin releasing factor (CRF), hypothalamic-pitu itary-adrenal (HPA) axis, Alzheimer’s disease (AD)

Citation: Shade RD, Ross JA and Van Bockstaele EJ (2022) Targeting the cannabinoid system to counteract the deleterious effects of stress in Alzheimer’s disease. Front. Aging Neurosci. 14:949361. doi: 10.3389/fnagi.2022.949361

Received: 20 May 2022; Accepted: 01 August 2022;
Published: 04 October 2022.

Edited by:

Frederico C. Pereira, University of Coimbra, Portugal

Reviewed by:

Zheng-Xiong Xi, National Institute on Drug Abuse (NIH), United States
Wen Xiong, Baylor College of Medicine, United States

Copyright © 2022 Shade, Ross and Van Bockstaele. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jennifer A. Ross, amFyNDg1QGRyZXhlbC5lZHU=

These authors have contributed equally to this work

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