Abstract
Fragile X syndrome (FXS) is a debilitating genetic disorder with no cure and few therapeutic options. Excessive signaling through metabotropic glutamate receptor 5 in FXS leads to increased translation of numerous synaptic proteins and exaggerated long-term depression. Two of the overexpressed proteins are amyloid-beta protein precursor (APP) and its metabolite amyloid-beta, which have been well-studied in Alzheimer’s disease (AD). Here we discus the possibility that pharmaceuticals under study for the modulation of these proteins in AD might be viable therapeutic strategies for FXS. Specifically, a recently identified acetyltransferase inhibitor that reduces the levels and activity of β-site APP cleaving enzyme (BACE-1) has strong potential to attenuate BACE-1 activity and maintain homeostatic levels APP catabolites in FXS.
Keywords: fragile X syndrome, BACE-1, Alzheimer’s disease, amyloid-beta, mGluR5
INTRODUCTION
Fragile X syndrome (FXS) is the most common form of inherited intellectual disability and the leading known genetic cause of autism (Wang et al., 2010). Clinical features include moderate to severe intellectual disability, autistic-like behavior, anxiety, seizures, and macroorchidism (Hagerman et al., 2009). Neuroanatomical features include an overabundance of long, thin tortuous postsynaptic spines (Beckel-Mitchener and Greenough, 2004). In the majority of cases, FXS is caused by a trinucleotide repeat expansion in the promoter region of the fragile X mental retardation 1 (FMR1) gene, which leads to promoter methylation and lack of translation of fragile X mental retardation protein (FMRP). FMRP is an mRNA binding protein that regulates dendritic protein synthesis. Research spanning the past two decades has identified metabotropic glutamate receptor 5 (mGluR5) as a key member of a group of Gq-linked receptors that activate dendritic translation through a signaling cascade upstream of FMRP. There has been an intense effort to identify the intermediate signaling molecules in the cascade as well as downstream FMRP mRNA targets (Bhakar et al., 2012). In aggregate, over 500 mRNA ligands have been identified, many with potential to influence synaptic structure and plasticity, but only about a dozen have been validated as evidenced by association with FMRP, dendritic localization, or synaptic synthesis, and regulation by group 1 mGluR (Bassell and Warren, 2008). We validated App mRNA as a synaptic target that is translationally regulated by FMRP and mGluR5 (Westmark and Malter, 2007). App mRNA codes for a transmembrane protein amyloid-beta protein precursor (APP), which is processed by β- and γ-secretases to generate amyloid-beta (Aβ), the predominant protein found in the senile plaques characteristic of Alzheimer’s disease (AD) and Down syndrome. Fmr1KO mice, which lack the translational repressor FMRP, exhibit elevated levels of brain APP and Aβ, and the brains of FXS patients also appear to have elevated Aβ (Westmark et al., 2011b). Importantly, downregulation of APP and consequent reduction of Aβ can rescue many phenotypic abnormalities of Fmr1KO mice (Westmark et al., 2011b). Thus, it is our opinion that therapies directed at normalizing APP and Aβ levels will benefit FXS. Our opinion is relevant and timely as β-site APP cleaving enzyme (BACE-1) inhibitors are entering clinical trials for the treatment of mild cognitive impairment and AD. Positive results could be rapidly extrapolated to the treatment of FXS, which is considered an orphan disease from the standpoint of treatment development. Herein, we provide a framework for preclinical studies validating APP and Aβ pathophysiology and BACE-1 inhibitor efficacy in animal models of FXS.
THE mGluR THEORY OF FXS
“The mGluR Theory of Fragile X” proposed by Bear et al. (2004) proposes that overactive signaling by group 1 mGluRs (mGluR1 and mGluR5) contributes to many of the psychiatric and neurological symptoms of FXS. The theory contends that FMRP binds to synaptic mRNAs and represses their translation. Upon mGluR5 activation, FMRP is inactivated or dislodged from target mRNAs, and rapid dendritic synthesis of new proteins leads to long-term depression (LTD) at locally active synapses. In the absence of FMRP, mGluR5-mediated translation is constitutive and unregulated. There has been an intense effort by the FXS community to validate the central role of mGluR5 in FXS. A 50% genetic reduction of mGluR5 levels in Fmr1KO mice rescues ocular dominance plasticity, the density of dendritic spines, basal protein synthesis, inhibitory avoidance extinction, audiogenic seizures, and macroorchidism (Dolen et al., 2007); and pharmacological treatment with mGluR5 antagonists rescues FXS phenotypes in mouse (Mus musculus), fly (Drosophila melanogaster), and zebrafish (Danio rerio) disease models (McBride et al., 2005; Yan et al., 2005; Tucker et al., 2006; de Vrij et al., 2008; Michalon et al., 2012). In addition, numerous signaling molecules, convergent signaling pathways and other membrane receptors have been identified that contribute to the abnormal synaptic plasticity observed in FXS. Other interacting, and in some cases overlapping, theories have emerged. “The cAMP Theory of FXS” suggests that alterations in cAMP production contribute to FXS neuropathology (Kelley et al., 2007). The “The GABAAR Hypothesis” postulates that GABAAR is a potential therapeutic target because GABAergic agonists rescue behavioral symptoms of FXS (Heulens et al., 2012). Key FMRP ligands coding for “LTD proteins” have been identified and are potential therapeutic targets (Luscher and Huber, 2010).
APP AT THE FXS SYNAPSE
We identified App mRNA as a synaptic target for mGluR5/FMRP regulation (Westmark and Malter, 2007). FMRP binds to a guanine-rich region in the coding region of App mRNA and inhibits translation (Westmark and Malter, 2007; Lee et al., 2010). Stimulation with the group 1 mGluR agonist (S)-3,5-dihydroxyphenylglycine (DHPG) releases FMRP from the App message resulting in increased APP production. In Fmr1KO synaptoneurosomes and primary neurons, which lack FMRP, basal APP levels are elevated (Westmark and Malter, 2007; Liao et al., 2008) and do not change in response to DHPG. Consistent with these findings, Aβ levels are elevated in the brain of Fmr1KO mice, and several FXS phenotypes including mGluR-LTD can be rescued by genetically reducing APP and Aβ levels (Fmr1KO/AppHET mice; Westmark and Malter, 2007; Westmark et al., 2011b).
Amyloid-beta protein precursor functions in synapse and dendritic spine formation, synaptic transmission, and learning and memory (Hoe et al., 2012). Expression is developmentally regulated with maximal levels during synaptogenesis and subsequent decline when mature connections are completed. Pathological examination of brains from FXS patients shows an increased density of long and tortuous dendritic spines. Similarly, Fmr1KO mice exhibit elevated spine protrusion length compared to wild type (WT) littermates. During the first two postnatal weeks, immature filopodia are replaced by mushroom-shaped spines in WT mice whereas Fmr1KO exhibit a developmental delay in the transition from immature to mature spines (Cruz-Martin et al., 2010). Likewise, Aβ is strongly implicated in impaired synaptic function (Koffie et al., 2011). Soluble Aβ oligomers facilitate LTD, similar to the enhancement of LTD that occurs in the hippocampus of Fmr1KO mice (Huber et al., 2002), and inhibit long-term potentiation (LTP). Aβ is associated with increased hyperexcitability and seizure activity in AD mice (Palop et al., 2007). Interstitial fluid levels of Aβ vary diurnally in both WT and AD mouse models with increased levels associated with wakefulness (Kang et al., 2009). Thus, we predict that the dysregulated expression of APP and its catabolites during FXS development contributes to aberrant synapse formation leading to seizures and behavioral, cognitive and sleep deficits.
A comparison of the AD and FXS literature demonstrates that many of the identified receptor and signaling molecules with established roles in FXS are regulated by APP and/or Aβ (Figure 1). These findings support the contention that APP and Aβ are key LTD proteins that contribute to FXS pathology, and that therapeutics currently under study for the modulation of APP processing and Aβ levels in AD may be applicable to FXS. A caveat to this opinion is that there is no evidence of increased AD pathology in older FXS individuals. Regardless if Aβ forms insoluble plaques in FXS, increasing evidence suggests that soluble, oligomeric forms of Aβ are the pathogenic form of the peptide (Ferreira and Klein, 2011).
MAINTAINING SYNAPTIC HOMEOSTASIS IN FXS
Deviations in either direction from the optimal level of synaptic proteins can adversely affect plasticity (Kelleher and Bear, 2008). Synaptic deficits in Tsc2 and Fmr1 mutant mice are corrected by treatments that modulate mGluR5 in opposite directions and disappear in mice that carry both mutations (Auerbach et al., 2011). Similarly, “too much” or “too little” APP and Aβ in Fmr1KO mice exacerbates audiogenic seizures (Westmark et al., 2010, 2013). These data support the requirement for maintenance of homeostatic levels of key synaptic proteins in the treatment of FXS and suggest that therapeutic dosages need to be tightly regulated. In fact, it is likely that a cocktail of low dosage drugs will be required to maintain synaptic homeostasis. The results of early-phase clinical trials with targeted FXS therapeutics have been reviewed (Berry-Kravis et al., 2011; Gross et al., 2012). Surprisingly, several of these drugs may be effective in FXS due to off-site activities that modulate APP, Aβ, and/or BACE-1. Table 1 lists the drugs in clinical trials for FXS, their known activities and their expected effects on APP, Aβ, and BACE-1. Fenobam, lithium, memantine, and minocycline modulate APP, Aβ, and/or BACE-1. The other listed drugs are predicted to modulate these proteins based on their mechanism of action [GABA agonist (Sun et al., 2012), mGluR5 antagonist (Westmark and Malter, 2007), glycogen synthase kinase-3 (GSK3) inhibitor (Yu et al., 2012), neurosteroid (Chen et al., 2011), statin (Kojro et al., 2001), serotonin reuptake inhibitor (Cochet et al., 2013), or antioxidants (Heo et al., 2013)].
Table 1.
Drug (clinical trial sponsor) | Drug activity | Expected effect | Reference |
---|---|---|---|
Acamprosate (Indiana University) | GABA(A and B) agonist | ↓ Aβ endocytosis | Erickson et al. (2010) |
AFQ056 (Novartis Pharmaceuticals) | mGluR5 antagonist | ↓ APP and Aβ | Levenga et al. (2011) |
Donepezil (Stanford University) | Acetylcholinesterase inhibitor, GSK3 inhibitor | ↓ BACE-1 and Aβ | Noh et al. (2009), Sahu et al. (2012) |
Fenobam (Neuropharm Ltd; FRAXA) | mGluR5 antagonist | ↓ APP and Aβ | Berry-Kravis et al. (2009), Malter et al. (2010) |
Ganaxolone (Marinus Pharmaceuticals) | Neurosteroid | ↓ Aβ | Heulens et al. (2012) |
Lithium (FRAXA) | GSK3 inhibitor | ↓ BACE-1 and Aβ | Berry-Kravis et al. (2008), Mines and Jope (2011), Yu et al. (2012) |
Lovastatin (FRAXA) | Statin | ↓ Aβ and ↑ sAPPα | Kojro et al. (2001), Asai et al. (2010), Osterweil et al. (2013) |
Memantine (Indiana University) | NMDAR antagonist | ↓ APP and Aβ | Erickson et al. (2009), Ray et al. (2010) |
Minocycline (UC-Davis; FRAXA) | Antibiotic (tetracycline derivative) | ↓ BACE-1, ↑ sAPPα and ↓ Aβ | Paribello et al. (2010), Siopi et al. (2011), Ferretti et al. (2012) |
R04917523 (Hoffmann-La Roche) | mGluR5 antagonist | ↓ APP and Aβ | – |
Sertraline (UC-Davis) | Serotonin reuptake inhibitor | ↑ ADAM10 and sAPPα | Indah Winarni et al. (2012) |
STX107 (Seaside Therapeutics) | mGluR5 antagonist | ↓ APP and Aβ | – |
STX209/Arbaclofen (Seaside Therapeutics) | GABA(B) agonist | ↓ Aβ endocytosis | Berry-Kravis et al. (2012) |
Vitamins C and E (MIABHR1) | Antioxidants | ↓ Aβ | – |
1The Mediterranean Institute for the Advance of Biotechnology and Health Research
Amyloid-beta protein precursor and Aβ are implicated in both negative and positive feedback loops predicted to affect synaptic homeostasis. Kamenetz et al. (2003) determined that neuronal activity modulates the generation and secretion of Aβ peptides from hippocampal neurons that overexpress APP. Aβ in turn selectively depresses excitatory synaptic transmission through N-methyl D-aspartate receptor (NMDAR) thus completing a negative feedback loop. Renner et al. (2010) showed that Aβ oligomers cause dynamic redistribution of mGluR5 to synapses and thus facilitate increased mGluR5 signaling. We demonstrated that Aβ induces dendritic APP translation in primary cultured neurons through an mGluR5-dependent pathway (Westmark et al., 2011b). Together these studies suggest a positive feedback loop whereby Aβ oligomers facilitate mGluR5 signaling leading to increased dendritic APP translation, which provides more target for amyloidogenic processing and the generation of additional Aβ (Ferreira and Klein, 2011; Westmark, 2013).
SECRETASES MODULATE APP PROCESSING
Anti-Aβ therapies and secretase inhibitors are leading strategies for reducing Aβ in AD. Aβ immunotherapy has proved very effective in reducing soluble Aβ, amyloid plaque and soluble tau as well as associated cognitive decline in AD mouse models; however, there are safety questions (Morgan, 2011). An alternative approach is modulation of secretase activity. β- and γ-secretase inhibitors are currently in the preclinical stage of investigation for AD and could provide a means to reduce amyloidogenic processing in FXS. BACE-1 is a type I transmembrane aspartyl protease that functions as the rate limiting step in the generation of Aβ. A BACE-1 inhibitor significantly reduces plasma and brain Aβ in AD model mice (Ghosh et al., 2008, 2012; Chang et al., 2011). The potential advantage of BACE-1 inhibitors over mGluR5 antagonists and anti-Aβ immunotherapy is that the latter therapies can reduce APP and soluble APPalpha (sAPPα) through translational repression and immunodepletion, respectively. APP has normal physiological functions related to synapse formation so it would be advantageous to reduce Aβ while maintaining APP and sAPPα levels. We observed exacerbation of FXS phenotypes in Fmr1KO mice treated with a high dose of anti-Aβ or genetically null for APP (Fmr1KO/AppKO mice) suggesting that over-reduction of APP or a catabolite (presumably Aβ) is as toxic as over-expression likely due to the loss of neuroprotective sAPPα. α- and γ-secretases are additional drug targets for reducing Aβ levels. Activation of α-secretases, which cleave within the Aβ transmembrane region, would increase the production of the neuroprotective sAPPα fragment and decrease Aβ. The problem associated with the use of α- or γ-secretase drugs is that they modulate proteolytic processing of other proteins that are critical for cellular function (Vincent and Govitrapong, 2011; Wolfe, 2012). Thus, in our opinion inhibition of BACE-1 is a plausible therapeutic strategy to reduce Aβ and rescue ensuing phenotypes in Fmr1KO mice while maintaining APP and sAPPα levels. Unfortunately, the design of BACE-1 inhibitors has proven challenging due to the large size of the catalytic pocket of the enzyme (Gravitz, 2011). As a result, currently identified BACE-1 inhibitors are largely excluded from reaching the central nervous system. BACE-1 inhibitors currently in trials, although able to cross the brain–blood barrier (BBB), display limited brain bioavailability. Therefore, approaches that affect BACE-1 expression levels rather than catalytic activity are being actively sought.
ER-BASED ACETYLTRANSFERASES REGULATE BACE-1 LEVELS AND ACTIVITY
As part of our AD-related research, we discovered a novel form of post-translational regulation of membrane proteins that has a dramatic impact on BACE-1 metabolism. Specifically, nascent BACE-1 is acetylated in the lumen of the endoplasmic reticulum (ER). The acetylated intermediates are able to reach the Golgi apparatus and complete maturation whereas non-acetylated intermediates are retained in the ER/Golgi intermediate compartment (ERGIC) and degraded (Costantini et al., 2007; Jonas et al., 2008; Pehar and Puglielli, 2013). We identified two novel acetyltransferases (ATases), ATase1 and ATase2, which acetylate BACE-1 and thus regulate its levels and activity (Costantini et al., 2007; Ko and Puglielli, 2009). Both ATases are associated with ER and ERGIC membranes, have one single membrane domain, have a highly conserved catalytic domain that faces the lumen of the organelle (Ko and Puglielli, 2009), are expressed in neurons, and are upregulated in AD brain (Ding et al., 2012). We also identified two novel biochemical compounds, compound 9 (6-chloro-5H-benzo[a]phenoxazin-5-one) and compound 19 (2-chloro-3-(2-ethoxyanilino)-1,4-dihydronaphthalene-1,4-dione), that target ATase-1 and ATase-2 with high specificity and no apparent off-site effects (Ding et al., 2012). In cellular (Ding et al., 2012) and animal models of AD, these compounds dramatically reduce Aβ. Importantly, preliminary studies show that pharmacologic inhibition of ATase1 and ATase2 rescues synaptic deficits and extends the lifespan of APP overexpressing mice without evident toxicity. ATase1 and ATase2 display important structural differences from other classes of ATases (Pehar and Puglielli, 2013), which could explain why widespread off-site effects were not observed when ATase inhibitors were administered to cellular systems (Ding et al., 2012). Importantly, a single-nucleotide polymorphism that inactivates ATase1 has been identified in <2% of the general population. Since no disease association has been reported, we speculate that ATases are viable targets for therapeutic intervention. Thus, the identification of ATase1 and ATase2 has opened a new field of research and sparked interest in manipulating this pathway for therapeutic benefits in AD. While our results were obtained in AD-relevant settings, we propose to extend these findings to FXS.
BACE-1: A BENCH-TO-BEDSIDE TRANSLATION PLAN FOR FXS
The prospect that FXS phenotypes can be reduced by targeting APP processing is stimulating and deserves close attention. The central hypothesis driving our translation plan is that biochemical inhibition of BACE-1 activity will rescue critical aspects of FXS pathology by reducing amyloidogenic processing of APP. We propose a three-step plan for validating the pathophysiology of APP, Aβ, and BACE-1 in FXS and the efficacy of the ATase inhibitors in attenuating disease phenotypes. Our ultimate goal is to generate the necessary preclinical data for a BACE-1 inhibitor trial in FXS. Inhibition of BACE-1 with ATase inhibitors potentially offers several advantages in the treatment of amyloidogenic disorders including substrate specificity and BBB penetrance.
In Step 1, we propose to assess BACE-1 knockdown in Fmr1KO mice on established FXS phenotypes. The creation of tetracycline-inducible Cre/Fmr1KO/iBACEHET mice would allow for genetic knockdown of BACE-1 at varied points in development (gestational, postnatal, and adult) prior to assessing rescue of phenotypes (seizures, electrophysiology, behavior, sleep, dendritic spine, and biomarker expression). The timing of BACE-1 knockdown with Cre technology could provide valuable data regarding the optimal subject age for therapeutic treatments. Chronic pharmacological inhibition of mGluR5 reversed established FXS phenotypes in adult Fmr1KO mice (Michalon et al., 2012), and a single dose, open-label clinical trial of the mGluR5 antagonist fenobam improved prepulse inhibition in adult FXS patients (Berry-Kravis et al., 2009); however, earlier intervention may show improved efficacy. Results with the Fmr1KO/BACE-1HET mice could then be used as an efficacy standard for pharmacological BACE-1 interventions. Of note, BACE-1 knockdown in Fmr1KO mice is expected to reduce Aβ and rescue hyperexcitability and seizures; however, these phenotypes are exacerbated in BACE-1KO mice (Hu et al., 2010). Thus, we propose to reduce, not obliterate, BACE-1 activity as some Aβ is required for synaptic homeostasis.
In Step 2, we propose to study the pathophysiology of APP and Aβ in dfmr flies. Drosophila melanogaster contain both the dfmr and APPL genes, which are closely related to the mammalian FMR1 and APP genes, and share many of the same disease-related phenotypes. Flies are a less expensive, well-established FXS model (Bushey et al., 2011; McBride et al., 2012; Tessier and Broadie, 2012) and genetic crosses have the potential to elucidate the roles of APP and Aβ in learning, memory, sleep/wake cycles, and biomarker expression.
In Step 3, we propose to inhibit ATase1 with compound 9 in FXS mouse, fly, and human models. Compound 9 efficacy can be compared with BACE-1 knockdown mice, other BACE-1 inhibitors, and anti-Aβ therapies. In addition, the effect of compound 9 on APP processing can be assessed in peripheral blood mononuclear cells (PBMC) isolated from FXS patients. Preliminary studies from our laboratory indicate that Aβ is a potential blood-based biomarker for FXS (Westmark et al., 2011a, b); thus, it is important to understand the effects of BACE-1 inhibitors on both brain and systemic Aβ levels in FXS. Overall, these complementary but distinct approaches to study the biology of APP, Aβ, and BACE-1 in FXS and to rescue disease phenotypes in response to compound 9 could provide solid preclinical data to support testing BACE-1 inhibitors in FXS clinical trials.
CONCLUDING REMARKS
Due to the inordinate cost of bringing a drug to market, it is highly unlikely that disease-specific drug screens can be performed for more than a couple dozen genetic diseases, leaving the vast majority out of the pharmacological lottery. For these patients and their families, the best hope is repurposing drugs developed for other diseases. Even for single gene diseases with clear etiologies such as FXS, it is unlikely that a single intervention will overcome most of the molecular defects. For example, pharmacological interventions of the well-studied mGluR5 pathway in FXS have been successful in overcoming certain (learning deficits and propensity toward audiogenic seizures), but not other (circadian and sleep problems), aspects of the disease in fly and rodent models. This initial research already suggests that “cocktails” of pharmacological treatments will be needed to treat the likely multiple pathways that are affected. From these two perspectives, a cogent case can be made that the identification of “common molecular targets” in different diseases is both economically and scientifically sound. We have identified APP and Aβ as common molecular targets in AD and FXS and we hypothesize that BACE-1 inhibitors, as developed for the treatment of AD, will benefit FXS patients. Herein, we have provided a framework for how APP and Aβ could disturb synaptic homeostasis as well as future directions for generating the necessary preclinical data to justify a pilot clinical trial with a BACE-1 inhibitor in FXS.
Conflict of Interest Statement
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.
Acknowledgments
This work was supported by FRAXA Research Foundation.
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