Fatty‐acid amide hydrolase inhibition mitigates Alzheimer's disease progression in mouse models of amyloidosis
FAAH inhibition: anti‐amyloid effects in AD mice
S. Oddi et al.
Department of Veterinary Medicine University of Teramo Italy
European Center for Brain Research/Institute for Research and Health Care (IRCCS) Santa Lucia Foundation Rome Italy
Department of Biotechnological and Applied Clinical Sciences University of L'Aquila Italy
Department of Pharmacy – Pharmaceutical Sciences University of Bari “Aldo Moro” Bari Italy
Department of Medicine Campus Bio‐Medico University of Rome Italy
Department of Medico‐Surgical Sciences and Biotechnologies Sapienza University of Rome Latina Italy
Institute of Molecular Psychiatry, Medical Faculty University of Bonn Germany
National Research Council (CNR) Institute for Complex System (ISC) Rome Italy
* CorrespondenceSergio Oddi, Department of Veterinary Medicine, University of Teramo, Via R. Balzarini 1, 64100 Teramo, Italy
Tel: +39 06 501703223
E‐mail: soddi@unite.it
Abstract
The endocannabinoid N‐arachidonoylethanolamine (AEA) is a pro‐homeostatic bioactive lipid known for its anti‐inflammatory, anti‐oxidative, immunomodulatory, and neuroprotective properties, which may contrast/mitigate Alzheimer's disease (AD) pathology. This study explores the therapeutic potential of targeting fatty acid amide hydrolase (FAAH), the major enzyme degrading AEA, in mouse models of amyloidosis (APP/PS1 and Tg2576). Enhancing AEA signaling by genetic deletion of FAAH delayed cognitive deficits in APP/PS1 mice and improved cognitive symptoms in 12‐month‐old AD‐like mice. Chronic pharmacological FAAH inhibition fully reverted neurocognitive decline, attenuated neuroinflammation, and promoted neuroprotective mechanisms in Tg2576 mice. Additionally, pharmacological FAAH inhibition robustly suppressed β‐amyloid production and accumulation, associated with decreased expression of β‐site amyloid precursor protein cleaving enzyme 1 (BACE1), possibly through a cannabinoid receptor 1‐dependent epigenetic mechanism. These findings improve our understanding of AEA signaling in AD pathogenesis and provide proof of concept that selective targeting of FAAH activity could be a promising therapeutic strategy against AD.
Graphical
Enhancing endocannabinoid signaling by targeting FAAH effectively mitigates cognitive deficits, reduces amyloid pathology, and modulates neuroinflammatory responses in a preclinical model of Alzheimer's disease. This effect is potentially mediated by attenuating the Aβ‐induced overexpression of the Bace1 gene through CB1‐dependent hypermethylation of its promoter region.
Boxed Text
Article notes
Footnote Group
- 2‐AG
- 2‐arachidonoylglycerol
- 5‐LOX
- 5‐lipoxygenase
- AD
- Alzheimer's disease
- ADAM9
- disintegrin and metalloprotease 9
- AEA
- N‐arachidonoylethanolamine
- APP
- amyloid precursor protein
- Aβ
- amyloid beta
- BACE1
- β‐site amyloid precursor protein cleaving enzyme 1
- CB1/2
- cannabinoid receptor 1 and 2
- CCR2
- C‐C chemokine receptor type 2
- CFC
- contextual fear conditioning
- COX2
- cyclooxygenase‐2
- FAAH
- fatty acid amide hydrolase
- FABP5
- fatty acid‐binding protein 5
- GFAP
- glial fibrillary acidic protein
- Iba1
- ionized calcium binding adaptor molecule 1
- iNOS
- inducible nitric oxide synthase
- MSR1
- macrophage scavenger receptor 1
- nNOS
- neuronal nitric oxide synthase
- NOLRT
- novel object location recognition test
- NORT
- novel object recognition test
- PCA
- principal component analysis
- PPARα
- peroxisome proliferator‐activated receptor alpha
- PRT
- partner recognition test
- PSEN1/2
- presenilin 1/2
- sAPPα/β
- soluble APP alpha/beta
- TGFβ
- transforming growth factor beta
- TGM2
- transglutaminase 2
- YM
- Y‐maze spontaneous alternation
Introduction
Alzheimer's disease (AD) is a global health burden, impacting approximately 50 million people annually and generating significant challenges for healthcare systems, caregivers, policymakers, and society [1, 2]. Identifying the molecular and cellular underpinnings of AD is essential for developing effective treatments and uncovering new therapeutic targets.
Among the endogenous systems involved in AD pathophysiology, the pro‐homeostatic endocannabinoid system, orchestrating complex lipid signaling pathways within the brain, is increasingly recognized as a pivotal regulator in AD‐related neurodegeneration and neuroinflammation [3, 4]. This system includes bioactive lipids such as N‐arachidonoylethanolamine (AEA) and 2‐arachidonoylglycerol (2‐AG), the type‐1 and type‐2 cannabinoid receptors (CB1 and CB2), as well as enzymes and proteins responsible for endocannabinoid synthesis, degradation, and transport [5].
Of particular relevance, fatty acid amide hydrolase (FAAH), the principal catabolic enzyme for anandamide (AEA) [6], was observed to be significantly upregulated in glial cells surrounding amyloid plaques within the hippocampus of patients affected by Alzheimer's disease (AD), thereby contributing to neuroinflammation through the increased generation of pro‐inflammatory molecules derived from AEA hydrolysis [7]. In contrast, another study reported a reduction in FAAH enzymatic activity, although not accompanied by a corresponding decrease in protein expression levels, in the cortex of AD patients [8]. Interestingly, in the same investigation, Mulder et al. documented a non‐significant increase in FAAH protein expression within the hippocampus, which was positively correlated with the severity of the disease [8]. Consistently, both AD patients and rodent models of AD displayed a reduction in AEA levels, as well as its precursor, N‐arachidonoylphosphatidylethanolamine, in specific brain regions, while levels of 2‐arachidonoylglycerol (2‐AG) remained unchanged [9, 10]. More importantly, preclinical studies have shown that elevating AEA concentrations through FAAH inhibition exerts beneficial effects in various neuroinflammatory and neurodegenerative conditions, including AD‐like pathology [11, 12, 13, 14]. Despite these promising findings, the precise mechanisms underlying the neuroprotective effects of FAAH inhibition in amyloid‐related pathology have yet to be fully elucidated.
This study aims at enhancing our mechanistic understanding of FAAH's role in AD pathogenesis. We performed both in vitro and in vivo experiments to evaluate the effects of FAAH inhibition on AD‐like features in two amyloidogenic mouse models, amyloid precursor protein/presenilin 1 (APP/PS1) and Tg2576. Specifically, we examined the impact of FAAH inhibition, via chronic intranasal delivery of the potent FAAH inhibitor 3′‐carbamoyl[1,1′‐biphenyl]‐3‐yl cyclohexyl‐carbamate (URB597), on cognitive performance, gene expression, neuroinflammation, amyloid beta (Aβ) production, amyloid plaque formation, and epigenetic regulation of key AD‐related genes. Our findings provide proof‐of‐concept that enhancing AEA signaling within the brain could be a novel and effective therapeutic approach for AD treatment and management.
Results
FAAH genetic deletion in APP/PS1 mice delays progression of memory deficits
Partner recognition test
The paradigm of partner recognition test investigates social recognition by scoring the significantly higher preference for a new partner compared to chance, resulting in a positive, significant recognition index value. As illustrated in Fig. 1A, wild‐type animals demonstrated recognition of their previously encountered partner in all three age groups. By contrast, only six‐month‐old APP/PS1 mice exhibited an increased preference for the novel partner, whereas older mice did not (Fig. 1A). Importantly, all three age groups of APP/PS1‐FAAH‐KO mice demonstrated recognition of their previously met partner, similarly as wild‐type mice. FAAH‐KO mice exhibited a significantly higher recognition index in the 6‐ and 12‐month‐old age groups, but not in the 3‐month‐old cohort (Fig. 1A).
Novel object location recognition
Similarly to the partner recognition test, wild‐type mice exhibited a higher‐than‐chance preference for the object in the novel position in all three age groups, as evidenced by the significantly higher scoring of the recognition index (Fig. 1B). The 12‐month‐old APP/PS1 transgenic animals demonstrated a deficit in this model, whereas mice of the same age from the APP/PS1‐FAAH‐KO line recognized the new object location in a manner comparable to wild types. Three‐ and 12‐month old FAAH‐KO mice had impaired performance in this model (Fig. 1B).
These results collectively suggest that elevated AEA levels resulting from the FAAH deletion may decelerate the progression of cognitive deficits in the APP/PS1 mouse model of AD.
FAAH pharmacological inhibition offsets different memory deficits in 11‐month‐old Tg2576 mice
For evaluating whether FAAH inactivation is a potential therapeutic strategy to counteract brain amyloidosis, we assessed the impact of chronic delivery of 3′‐carbamoyl[1,1′‐biphenyl]‐3‐yl cyclohexyl‐carbamate (URB597), a highly selective and potent FAAH inhibitor, on the progression of amyloidosis‐related cognitive deficits. The infusion of URB597 was performed by intranasal delivery, a treatment that we previously demonstrated to elevate the levels of AEA in the brain [15]. Hence, Tg2576 mice were administered with URB597, starting from the sixth month of age when these animals exhibit minimal or no memory impairments [16, 17]. Cognitive performances were longitudinally assessed at 8 and 11 months of age, namely after 2 and 5 months of URB597 delivery, via behavioral tests measuring the degree of recognition memory (novel object recognition test, NORT), emotional memory (contextual fear conditioning, CFC), and short‐term spatial working memory (Y‐maze spontaneous alternation, YM) (Fig. 2).
Compared to age‐matched wild‐type mice, Tg2576 mice exhibited early deficits in both associative fear learning and memory (i.e., CFC) and spatial working memory (i.e., YM), which were severely affected at 8 months of age (Fig. 2C,E), and subsequently in recognition memory (i.e., NORT), which considerably worsened when mice reached 11 months of age (Fig. 2A). Two months of URB597 intranasal delivery significantly mitigated deficits in contextual fear memory (i.e., CFC) (Fig. 2C), yet it did not ameliorate impairments in spatial working memory (i.e., YM) (Fig. 2E). Importantly, the five‐month chronic treatment regimen with URB597 completely prevented cognitive impairments in both recognition memory and contextual fear memory in Tg2576 mice (Fig. 2B,D, respectively). Consistently, prolonged exposure to URB597 markedly reduced deficits in spatial working memory in the YM (Fig. 2F) shown by Tg2576 mice at 11 months of age, although it did not completely abolish this cognitive deficit.
Overall, these findings suggest that inactivation of FAAH may provide an important therapeutic potential for amyloidosis‐related cognitive deficits, with the beneficial effects emerging more evidently after an extended period of treatment (5 months) in the Tg2576 mouse model of AD.
FAAH pharmacological inhibition significantly changes patterns of gene expression
In the following sections of the study, we sought to clarify the cellular and molecular mechanisms underlying the neuroprotective effects of prolonged exposure to URB597 (namely, through its intranasal administration over a period of 5 months) on amyloidosis‐related cognitive deficits. First, we evaluated by principal component analysis (PCA) the impact of chronic FAAH inhibition on the expression of a selected number of amyloidosis‐related genes in the hippocampus of Tg2576 mice. The PCA revealed distinct segregation among the four experimental cohorts. Notably, the clusters corresponding to wild‐type mice overlapped (Fig. 3A), independently from the treatment received. Conversely, the Tg2576 mice treated with URB597 distinctly segregated from those treated with the vehicle (Fig. 3A), indicating that the inhibition of FAAH may contribute to the restoration of the transcriptional profile in Tg2576 mice, yet exert minimal impact on the transcriptional profile of non‐diseased animals.
To quantify the differential expression level of the genes under study in Tg2576 mice, the fold change was calculated as the ratio of expression between URB597‐treated and vehicle‐treated mice (Fig. 3B, Table 1). The obtained results indicated that 11 out of the 35 analyzed genes showed a statistically significant differential gene expression level, with 6 of them upregulated (PPARα, COX2, PSEN1, 5‐LOX, FABP5, nNOS) and 5 downregulated (BACE1, MSR1, TGM2, CCR2, TGFβ) in URB597‐treated compared to vehicle‐treated mice (−Log10 (P‐value) > 1.3, equivalent to a P < 0.05 and Log2(Fold Change) > 0.6 or < −0.6, corresponding to a fold‐change of 0.66 and 1.5, respectively). It is worth noting that several differentially regulated genes in URB597‐treated mice participate in APP processing (BACE1 and PSEN2), immunological pathways (MSR1, CCR2, TGFβ, COX2, and 5‐LOX), and AEA signaling (FABP5 and PPARα) (Fig. 3). Although a direct comparison between Tg2576 mice and wild‐type mice was beyond the objectives of the study, we still evaluated the effect of amyloidosis on the expression of the same list of genes in the hippocampus (Table 2). As expected, the overexpression of amyloid peptides significantly altered the expression of numerous genes associated with inflammatory pathways, highlighting the extensive impact of amyloidosis on the neuroinflammatory profile.
| Gene | Log2(FC) | P‐value |
|---|---|---|
| Bace1 | −1.9 | 0.00001 |
| Pparα | 1.6 | 0.00051 |
| Ptgs2 | 1.2 | 0.00152 |
| Msr1 | −2.0 | 0.00267 |
| Psen1 | 1.4 | 0.00275 |
| Alox5 | 4.0 | 0.00526 |
| Tgm2 | −1.5 | 0.01162 |
| Fabp5 | 0.8 | 0.01627 |
| Nos1 | 0.9 | 0.02558 |
| Ccr2 | −1.9 | 0.03269 |
| Tgfβ | −0.7 | 0.04443 |
| Il6 | −2.9 | 0.05119 |
| Cx3cl1 | −0.3 | 0.05475 |
| Psen2 | 2.7 | 0.05575 |
| Fabp7 | 0.9 | 0.05826 |
| Il1β | −2.3 | 0.06226 |
| Fabp4 | 4.1 | 0.09200 |
| Cd33 | 0.9 | 0.09734 |
| Fcgr1 | 0.6 | 0.10390 |
| Adam9 | 1.0 | 0.11374 |
| Gsk3β | 1.2 | 0.11470 |
| Tnfα | −4.0 | 0.13017 |
| Cd68 | 2.2 | 0.13744 |
| Ido1 | −1.1 | 0.14352 |
| Tlr9 | 0.6 | 0.15224 |
| Adam10 | −0.4 | 0.20552 |
| Hdac6 | 0.6 | 0.21257 |
| Alox15 | 1.6 | 0.22029 |
| Gsk3α | 0.5 | 0.29701 |
| Trem2 | −1.0 | 0.33764 |
| Alox12 | −0.3 | 0.47397 |
| Arg1 | −0.7 | 0.48326 |
| Tlr4 | −0.2 | 0.49186 |
| Aif1 | 0.4 | 0.54996 |
| Ccl2 | 0.5 | 0.62536 |
| Gene | Log2(FC) | P‐value |
|---|---|---|
| Ptgs2 | 4.8 | 0.00002 |
| Cx3cl1 | 2.1 | 0.00065 |
| Bace1 | 0.5 | 0.00095 |
| Msr1 | 9.0 | 0.00108 |
| Psen2 | −1.3 | 0.00130 |
| Psen1 | −2.6 | 0.00203 |
| Alox15 | 3.8 | 0.00266 |
| Tlr4 | 2.9 | 0.00485 |
| Cd33 | 1.1 | 0.01107 |
| Fabp7 | −1.8 | 0.01214 |
| Fabp4 | 1.9 | 0.01423 |
| Pparα | −1.9 | 0.01580 |
| Tgm2 | 1.0 | 0.02070 |
| Ccl2 | 3.9 | 0.02253 |
| Ido1 | 5.7 | 0.02283 |
| Trem22 | −1.9 | 0.03013 |
| Il1β | 4.1 | 0.03556 |
| Fabp5 | −0.7 | 0.08430 |
| Tlr9 | 0.6 | 0.09155 |
| Iba1 | 1.1 | 0.09513 |
| Gsk3a | 0.9 | 0.10832 |
| Tnfα | 5.5 | 0.11701 |
| Il6 | 1.2 | 0.15428 |
| Cd68 | 1.5 | 0.15446 |
| Ccr2 | 0.8 | 0.15918 |
| Cd64 | 0.6 | 0.22298 |
| Adam10 | 0.2 | 0.32271 |
| Nos1 | −0.4 | 0.34225 |
| Arg1 | 0.9 | 0.38347 |
| Alox5 | −0.4 | 0.40823 |
| Hdac6 | 0.2 | 0.52168 |
| Adam9 | −0.2 | 0.67154 |
| Tgfβ | 0.2 | 0.74466 |
| Gsk3b | −0.1 | 0.89505 |
| Alox12 | 0.0 | 0.97755 |
FAAH pharmacological inhibition strongly reduces neuroinflammation in Tg2576 mice
Amyloidosis‐related neuroinflammation is a major pathogenic mechanism contributing to cognitive deficits in Tg2576 mice [18, 19, 20]. To assess whether the cognitive improvement observed following URB597 intranasal delivery could be associated with an attenuation of neuroinflammation, we measured by Western blotting the expression levels of ionized calcium binding adaptor molecule 1 (Iba1) and glial fibrillary acidic protein (GFAP), as indicative markers of microgliosis and astrocytosis, respectively. URB597 significantly reduced Iba1 and GFAP expression in the hippocampus of Tg2576 mice (Fig. 4), showing that inhibiting FAAH had an immunosuppressive impact. Consistently, chronic administration of URB597 led to a significant reduction in the hippocampal expression of iNOS, which is a crucial regulator of immune response and inflammation that is typically elevated in both microglia and activated astrocytes from Tg2576 mice (Fig. 4).
FAAH pharmacological inhibition reduces β‐amyloid production and aggregation in Tg2576 mice
To assess the impact of URB597 on amyloid plaque formation, we conducted an analysis of amyloid plaque density and size using the Congo red staining method (Fig. 5A). The analysis demonstrated that URB597 treatment induced a marked reduction in the density of Congo red‐positive amyloid plaques in the midbrain tissue compared to the vehicle‐treated controls (Tg2576/Vehicle: 320.8 ± 14.3 mm−2; Tg2576/URB597: 278.3 ± 10.6 mm−2; P = 0.0002; Fig. 5B). Furthermore, URB597 treatment also significantly reduced the size of Aβ plaques (Tg2576/Vehicle: 19 ± 3.6 μm2; Tg2576/URB597: 12 ± 2 μm2; P = 0.0014; Fig. 5C), further supporting the efficacy of FAAH inhibition in mitigating amyloid plaque burden.
Quantitative dot blot analysis of hippocampal homogenates revealed a significant decrease in the immunoreactivity associated with the insoluble Aβ aggregates in URB597‐treated Tg2576 mice, compared with the untreated group (Tg2576/Vehicle: 1.43 ± 0.49; Tg2576/URB597: 0.26 ± 0.11; P < 0.0001; Fig. 5D,E). Subsequent assays to quantify detergent‐soluble Aβ aggregates using ALPHA‐LISA demonstrated a consistent pattern, with significantly lower levels of soluble Aβ detected in the URB597‐treated mice as compared to vehicle‐treated Tg2576 mice (Tg2576/Vehicle: 0.53 ± 0.11 ng·mL−1; Tg2576/URB597: 0.39 ± 0.09 ng·mL−1; P = 0.0236; Fig. 5F).
FAAH pharmacological inhibition promotes the nonamyloidogenic cleavage of APP by regulating the expression of key catalytic components of secretases
Following the detection of a robust reduction in amyloid plaque accumulation, we investigated the impact of URB597 on the profile of expression of key enzymes regulating Aβ production from APP proteolytic processing. Specifically, the study focused on a disintegrin and metalloprotease 9 (ADAM9), β‐site APP cleaving enzyme 1 (BACE1), and presenilin 2 (PSEN2), which are key catalytic components of α‐, β‐, and γ‐secretases, respectively [21]. These enzymes play a critical role in the cleavage of APP, which can lead to either the formation of amyloidogenic Aβ peptides (the amyloidogenic pathway involving BACE1 and PSEN2) or prevent their formation (the nonamyloidogenic pathway involving ADAM9 and PSEN2) [21].
URB597 intranasal delivery led to differential expression of these enzymes in the hippocampus (Fig. 5). BACE1 mRNA expression was significantly downregulated, while ADAM9 and PSEN2 mRNA levels exhibited a modest increase (Fig. 6A). Patterns of protein expression were consistent with mRNA trends, with ADAM9 and PSEN2 proteins significantly increased following treatment and a significant decrease observed in BACE1 protein expression (Fig. 6B,C).
Accordingly, APP processing was significantly altered by URB597 administration. Specifically, URB597 promoted the formation of sAPPα, the product of the non‐amyloidogenic cleavage of APP, while simultaneously reducing the levels of sAPPβ, the product of its amyloidogenic cleavage (Fig. 6D,E). These findings strongly suggest that URB597 treatment exerts an anti‐amyloidogenic action by differentially regulating the molecular factors involved in the formation of amyloid peptides.
FAAH inhibition curtails the overexpression of the Bace1 gene in transgenic mice through the stimulation of promoter hypermethylation
It has been established that the accumulation of Aβ induces global DNA hypomethylation in the brains of McGill‐Thy1‐APP transgenic mice, thereby activating genes that exacerbate the disease, including Bace1 [22]. In line with these findings, pyrosequencing analysis revealed that in both models of APP transgenic mice, the proximal region of the Bace1 promoter (+94/+295, encompassing five CpG islands) was significantly hypomethylated (i.e., CpG1 and CpG2) compared to that observed in their wild‐type counterparts (Fig. 7A,B, lower panels). Consistently, this DNA hypomethylation was associated with an increase in BACE1 mRNA levels in APP/PS1 mice when compared to wild‐type littermates (Fig. 7B). Of relevance, FAAH transgenic mice (APP/PS1‐FAAH−/−) showed higher levels in Bace1 DNA methylation (significant for CpG site 1) compared to APP/PS1 mice (Fig. 7B). This enhancement was observed to be significantly higher in both Tg2576 and APP/PS1 mice when compared to their respective wild‐type littermates (Fig. 7A,B).
Overall, the pharmacological blockade of FAAH with URB597 suppressed the DNA hypomethylation induced by amyloidosis in this specific region. Similarly, the genetic ablation of FAAH in transgenic mice (APP/PS1‐FAAH‐KO) markedly elevated the methylation levels of each CpG island within the +94/+295 region of Bace1 (Fig. 7B). These results strongly support the fact that the anti‐AD effects exerted by URB597 administration could be attributed to FAAH inhibition and not to other possible off‐targets, possibly by attenuating the Aβ‐induced overexpression of the Bace1 gene through epigenetic alterations of its promoter region.
FAAH pharmacological inhibition decreases BACE1 expression and Aβ42 production in primary Tg2576 neurons via a CB1 ‐dependent pathway
To further explore the hypothesis that inhibition of FAAH suppresses the expression of BACE1, we also performed in vitro experiments using primary neurons isolated from the brains of neonatal wild‐type and Tg2576 mice. Preliminarily, we conducted a time‐course analysis by measuring the concentration of Aβ42 peptide in the culture media from these cultured neurons (i.e., wild‐type neurons and Tg2576 neurons; Fig. 8A). As expected, no detectable levels of Aβ42 were found in the media of wild‐type neurons (Fig. 8B). In contrast, Tg2576 neurons produced a measurable amount of Aβ42 as early as 6 days after seeding (Fig. 8B), reaching a plateau at 12 days post‐seeding. Consequently, we chose to use Tg2576 neurons at the 6‐day time point.
Firstly, we evaluated the expression level of Bace1 in Tg2576 neurons, finding that it was upregulated 4‐fold, respectively, compared to its basal level in their wild‐type counterpart, confirming the inducing effect of amyloidosis on the expression of Bace1 (Fig. 7). Interestingly, we also observed that Tg2576 neurons expressed FAAH mRNA at levels 2.8 times higher than wild‐type neurons, suggesting that the elevated expression of APP and/or Aβ42 may influence the transcription of the primary catabolic enzyme of AEA. Incidentally, we assessed the expression levels of FAAH and N‐acylphosphatidylethanolamine‐specific phospholipase D (NAPE‐PLD), the key enzyme involved in AEA biosynthesis, in the hippocampus of Tg2576 and APP/PS1 mice and compared them to those of their respective wild‐type counterparts. Our findings indicated no significant variations in the expression levels of these enzymes between the AD mouse models and the control groups.
To test the impact of inhibiting FAAH, neurons were treated with URB597 at pharmacologically relevant concentrations for 2 days [23]. Following treatment, we observed a significant decrease in BACE1 protein levels, as quantified by fluorescence microscopy (Fig. 8D,E). This suppression was mirrored at the mRNA level, with a marked reduction in BACE1 mRNA levels, indicating transcriptional downregulation (Fig. 8F).
Furthermore, the reduction in BACE1 expression correlated with a decreased release of Aβ42 peptides into the culture medium (Fig. 8G), supporting the hypothesis that FAAH inhibition leads to reduced amyloidogenic processing of APP in neurons. Importantly, the addition of SR141716A (SR1), a specific inverse agonist of the CB1 receptor, reversed the effects of URB597 on both BACE1 expression and Aβ42 production (Fig. 8D–G). These findings strongly suggested that the action of URB597 was mediated through AEA‐activated CB1 receptor signaling pathways.
Overall, our data confirm that the pharmacological inhibition of FAAH can successfully decrease BACE1 expression and Aβ42 production via a CB1‐dependent mechanism, thus highlighting the potential therapeutic benefits of targeting AEA signaling against AD pathogenesis.
Discussion
Previous research has shown that inhibiting AEA catabolism mitigates neuroinflammation in response to various proinflammatory stimuli [24, 25, 26, 27, 28] and prevents neurodegeneration in an experimental animal model of frontotemporal dementia [29]. Within the context of amyloidosis, genetic ablation of FAAH significantly reduced Aβ production and accumulation, reactive astrogliosis, and neurodegeneration, while concurrently improving synaptic and cognitive function in 5XFAD transgenic animals [12, 13]. These collective findings implicate that FAAH could be viewed as a promising therapeutic target for inflammatory and neurodegenerative processes linked to AD. Nevertheless, the molecular mechanisms underlying the beneficial effects of AEA degradation inhibition on amyloid‐related neuroinflammation and neurodegeneration remain largely elusive.
The results of this study provide compelling evidence that inhibition of FAAH exerts protective effects against cognitive decline and amyloid pathology in mouse models of AD through multiple mechanisms converging on the modulation of Aβ production.
A key finding here described was that inhibiting FAAH activity‐both genetically and pharmacologically‐led to a strong downregulation of BACE1 in the hippocampus of APP/PS1 and Tg2576 mice. BACE1 is a critical enzyme in the amyloidogenic pathway, as it catalyzes the initial cleavage of APP to generate the pathogenic Aβ peptides (Fig. 9). The suppression of BACE1 expression was associated with increased DNA methylation of its promoter region, suggesting an epigenetic mechanism by which elevated AEA levels, resulting from FAAH inhibition, may modulate gene expression.
In addition to regulating BACE1, FAAH inhibition also shifted APP processing towards the non‐amyloidogenic pathway. Indeed, URB597 treatment significantly increased the expression of ADAM9, an α‐secretase that cleaves APP within the Aβ domain, precluding its amyloidogenic processing. Furthermore, URB597 enhanced the levels of PSEN2, a component of the γ‐secretase complex that participates in the non‐amyloidogenic cleavage of APP. These changes in APP‐cleaving enzyme expression were reflected in the increased production of the soluble APP‐α fragment, the product of the non‐amyloidogenic pathway, and reduced levels of soluble APP‐β, the amyloidogenic counterpart.
In vitro experiments using primary neurons isolated from Tg2576 mice further confirmed the BACE1‐suppressing effects of URB597. This CB1‐dependent downregulation of BACE1 was accompanied by a concomitant decrease in Aβ42 levels, the most pathogenic Aβ species.
Collectively, these findings suggest that FAAH inhibition modulates multiple aspects of APP processing, favoring the non‐amyloidogenic pathway and reducing the production of Aβ peptides. The epigenetic regulation of BACE1 expression and the CB1‐mediated suppression of this enzyme appear to be a couple of key mechanisms underlying the anti‐amyloidogenic effects of FAAH inhibition. Notably, our previous research has demonstrated that AEA can indeed regulate gene expression through epigenetic mechanisms, specifically inducing promoter DNA hypermethylation in keratinocytes via CB1 receptor activation, leading to transcriptional downregulation of differentiation‐related genes [30].
Our results indicated no significant alterations in the hippocampal expression of NAPE‐PLD between AD‐like mice and wild‐type counterparts. Similarly, FAAH expression levels showed no statistically significant changes, except for a minor, yet non‐significant, upregulation observed in Tg2576 mice compared to wild‐type controls. These findings suggest that the overall expression of these enzymes in the hippocampus does not substantially differ between AD‐like models and wild‐type animals. However, it is worth noting that when we examined FAAH expression specifically in isolated neurons from Tg2576 mice, we observed a 2.8‐fold increase in FAAH mRNA levels compared to neurons isolated from WT mice. This localized upregulation in FAAH expression may indicate a neuron‐specific dysregulation of the endocannabinoid system in the Tg2576 model, which might not be detectable when analyzing the hippocampus as a whole. This finding aligns with previous reports suggesting that alterations in endocannabinoid signaling may be restricted to specific cellular populations or brain regions in neurodegenerative conditions [8, 10, 31, 32].
Tg2576 and APP/PS1 mouse models both express mutant forms of human APP with the Swedish mutations and exhibit age‐dependent accumulation of Aβ peptides, amyloid plaques, neuroinflammation, oxidative stress, and cognitive deficits [33, 34, 35]. However, there are significant differences between these models in terms of amyloid pathology and the onset of cognitive deficits: Tg2576 mice overexpress the human APP gene with the Swedish mutation [17, 36] and develop amyloid plaques and cognitive deficits over a longer time scale, making them suitable for studying the physiological aspects and the cognitive evolution of AD pathogenesis [17, 36, 37, 38]. In line with several findings describing a very late onset of plaque deposition in the Tg2576 AD‐like mouse model [39, 40, 41], we detected amyloid plaque formation in 11‐month‐old Tg2576 mice only in the midbrain region. It is worth noting that FAAH pharmacological inhibition demonstrated efficacy also against amyloid burden, reducing both density and size of Aβ plaques. Aβ deposition in the midbrain has been, for instance, described in 9‐month‐old 5xFAD mice [42], and recent analysis of neuropathological data, including a large amount of quantitative neuroimaging studies, corroborates the view that the temporal evolution of Aβ deposition can follow a gradient oriented to cerebral areas showing high metabolic request, such as association cortices and the midbrain [43]. Interestingly, the midbrain area is also the focus of a line of investigation ascribing to early degeneration of midbrain dopamine (DA) neurons an important role in AD pathogenesis [44], and a recent study reported that evoked DA release from midbrain neurons reduced Aβ aggregation via a neprilysin‐dependent mechanism [45].
In addition to the human APP, APP/PS1 mice also express the mutant presenilin‐1 (PS1) gene. The presence of mutant PS1 accelerates APP metabolism (Fig. 9), leading to faster and higher Aβ peptide production and more extensive plaque deposition compared to Tg2576 mice [46]. This makes APP/PS1 mice particularly useful for studying the biochemical aspects of APP metabolism and plaque deposition.
Notably, genetic deletion of FAAH slowed down the development of recognition deficits in APP/PS1 mice. While only 6‐month‐old APP/PS1 animals, but not older ones, could recognize the previously seen partner or the previous location of an object, 12‐month‐old double mutant APP/PS1‐FAAH‐KO mice retained these abilities, like wild‐type controls. This suggests that FAAH deletion can delay cognitive decline in this AD model. Previous studies have shown that APP/PS1 animals exhibit spatial learning deficits at 8–10 months of age [47, 48], and that 3‐month‐old mice can show memory impairment in partner recognition tests [49], similarly to the results here described. However, our study highlights the importance of using different age groups when targeting such a complex pathological process, such as the development of AD‐like pathology in the mouse brain. Indeed, similar studies using only one age group have often shown conflicting results. For example, genetic deletion of FAAH in 5xFAD mice ameliorated synaptic dysfunction in 5‐month‐old mice [13], whereas FAAH deletion did not protect 6‐month‐old PS19 mice from neuroinflammation or cognitive decline [14]. Moreover, we observed that FAAH‐ΚΟ mice had some recognition deficits. Although an early study reported enhanced acquisition in an aversive (but not appetitive) learning model [50], subsequent studies suggested that elevated AEA levels impair long‐term potentiation (LTP) and memory [51] and leads to increased pro‐inflammatory glial activity [52]. We hypothesize that the absence of FAAH may disrupt brain function in wild‐type animals, but in the context of the ongoing AD‐like pathology in the brains of APP/PS1 animals, its net effect appears to be positive.
Chronic inhibition of FAAH significantly improved cognitive performance in Tg2576 mice. Behavioral assessment evaluating various hippocampal‐dependent functions revealed that FAAH inhibition, via URB597 intranasal delivery, ameliorated memory deficits in both short‐term and long‐term paradigms. Notably, these improvements were more pronounced with prolonged treatment durations, indicating a time‐dependent efficacy. These findings align with previous studies highlighting the ability of URB597 to modify distinct forms of synaptic plasticity associated with hippocampal functions [11, 53, 54]. It is plausible that chronic enhancement of the AEA tone led to a significant reduction in memory deficits by normalizing basal synaptic transmission and LTP in the hippocampus of amyloidogenic mice. This hypothesis is supported by Ruiz‐Pérez et al. [13], who reported significant improvements in synaptic plasticity in another murine model of AD with genetic FAAH deletion. Collectively, these results suggest that FAAH inhibition consistently provides beneficial effects to synaptic function across various AD models.
Although our findings broadly corroborate the therapeutic potential of FAAH inhibition, some discrepancies with previous studies merit further examination. For example, the extent of cognitive improvement observed in our study utilizing URB597 was notably greater than that reported by others [12]. Variations in experimental design, including the mouse model (Tg2576 versus 5xFAD), route of administration (intranasal versus intraperitoneal), duration (5 months versus 12 days), and dosage (5 versus 3 mg·kg−1) of treatment, may explain these differences. Conversely, our results in APP/PS1‐FAAH‐KO mice appear to align with findings in 5xFAD mice lacking FAAH, particularly regarding the recovery of cognitive impairment [12, 13].
Conclusions
In summary, our study provides compelling evidence that enhancing AEA signaling by targeting the FAAH effectively mitigates cognitive deficits, reduces amyloid pathology, and modulates neuroinflammatory responses in preclinical models of amyloidosis‐related AD. These effects are potentially mediated by the attenuation of Aβ‐induced overexpression of the Bace1 gene through CB1‐dependent hypermethylation of its promoter region. These mechanistic results highlight the therapeutic potential of targeting the endocannabinoid system, particularly through FAAH inhibitors like URB597, as a novel strategy for treating and/or managing AD pathophysiology and symptoms. Future research should focus on translating these promising preclinical findings into clinical trials to evaluate the efficacy and safety of this approach in AD patients.
Materials and methods
Reagents
All chemicals were of the purest analytical grade. All chemicals were purchased from Sigma Chemical Co. (Milan, Italy), unless stated otherwise.
Mice
To test how lack of FAAH influences the development of learning and memory deficits, we crossed FAAH−/− mice with APP/PS1 (B6.Cg‐Tg(APPswe(K594N/M595L)/(PSEN1dE9)85Dbo/J)) mice. We received these parental strains from the animal facility of the University Clinics of Bonn. For that, we first crossed APP/PS1+/− X FAAH+/+ mice with APP/PS1−/− X FAAH−/− lines, and next, F1 APP/PS1+/− X FAAH+/− offspring were crossbred with the APP/PS1−/− X FAAH+/− offsprings to get in the F2 generation APP/PS1+/− X FAAH+/+ (indicated as APP/PS1 in this manuscript), APP/PS1+/− X FAAH−/− (APP/PS1‐ FAAH‐KO), APP/PS1−/− X FAAH−/− (FAAH‐KO), and APP/PS1−/− X FAAH+/+ (wild‐type) mice. All animals were bred and housed in groups of 3–5 in a specific pathogen‐free animal facility under standard animal housing conditions in a 12 h dark–light cycle with access to food and water ad libitum according to German guidelines for animal care. Using this breeding strategy, we received and tested 42 APP/PS1, 41 FAAH‐KO, 43 double mutant APP/PS1‐ FAAH‐KO, and 46 wild‐type male mice in the animal facility of the University Clinics of Bonn. We did not use the female animals for this project. Experimental procedures complied with all regulations for animal experimentation in Germany and were approved by the Landesamt für Natur, Umwelt und Verbraucherschutz in Nordrhein‐Westfalen, Germany (81–02.04.2019.A423 for the breeding and 81–02.04.2020.A060 for testing).
Transgenic Tg2576 mice expressing the mutated human amyloid precursor protein (APP) bearing the Swedish K670N/M671L mutation were used to test the efficacy of pharmacological blockade of FAAH to alleviate AD‐related behavioral, biochemical, and epigenetic changes. These mice exhibit progressive cognitive decline, amyloid plaque aggregation in the brain, neuroinflammation, and synaptic loss [16]. Tg2576 mice, heterozygous for the APP‐K670N/M671L transgene, were generated by breeding hemizygous males (Tg2576‐F0) with C57BL/6J/SJL‐F0 hybrid females. The latter were produced by crossing SJL males with wild‐type (WT) C57BL/6J females. All animals were sourced from the animal facility of the Fondazione Santa Lucia, Rome. Tg2576 mice, along with wild‐type mice, were group‐housed (3–4 mice/cage) under controlled temperature (22–23 °C) and humidity (60 ± 5%) conditions, with a 12 : 12‐h light/dark cycle. All experimental procedures adhered to the European Union's ethical standards for animal use and welfare (EU Directive 2010/63/EU), as well as the guidelines provided by the Italian Ministry of Health. These procedures received approval from the bioethical committee of the Fondazione Santa Lucia in Rome (approval number: 47/2014‐PR) and by the Landesamt für Natur, Umwelt und Verbraucherschutz in Nordrhein‐Westfalen, Germany (81–02.04.2019.A423 for the breeding and 81–02.04.2020.A060 for testing).
Colony genotyping
Genomic DNA was extracted from tail snips of weaned male mice (4 weeks old) using established protocols [35]. Nanodrop spectrophotometry (Thermo Fisher Scientific, Waltham, MA, USA) confirmed DNA quality by measuring 260/280 nm and 260/230 nm absorbance ratios. PCR amplification employed 10 ng of DNA per sample with specific primers designed to detect the presence or absence of the APP/PS1 transgene (Mutant forward: 5′‐ATG GTA GAG TAA GCG AGA ACA CG‐3′; Wild‐type forward: 5′‐TGC AGA TAT TCA CAA CCA ATC A‐3′; Common reverse: 5′‐GGT TAC AAT CCC CTT CAG CTC‐3′), the presence or deletion of FAAH (Knockout forward: 5′‐CGA AGG AGC AAA GCT GCT ATT‐3′; Wild‐type forward: 5′‐GCA GTC CAT TGC TGT GAG TTA‐3′, Common reverse: 5′‐GCT AGA GTG TCG AGA GGT ATT‐3′) and the Tg2576 transgenic (FW 5′‐CTG ACC ACT CGA CCA GGT TCT GGG T‐3′, REV 5′‐GTG GAT AAC CCC TCC CCC AGC CTA GAC CA‐3′) provided by Thermo Fisher Scientific (Waltham, MA, USA) for the primers of APP/PS1 and FAAH and Sigma Aldrich (St. Louis, MO, USA) for Tg2576. For identification, we amplified the probes for 34 (APP/PS1) or 30 (FAAH) cycles followed by gel electrophoresis on a 2% agarose gel in 1 × TAE. Gels were incubated in a TAE buffer containing ethidium bromide (1.6 μg·mL−1) for 15 min, and the bands were visualized using the Biorad Chemidoc MP device. A band of ~142 bp corresponded to APP/PS1 and ~265 bp for wild‐type, whereas ~520 bp for FAAH−/− and ~480 bp for wild‐type. For identification of Tg2576, probes were amplified (35 cycles), followed by gel electrophoresis on a 2% agarose gel containing GelRed stain (Biotium, San Francisco, CA, USA). The presence of a ~500 bp band identified Tg2576‐positive animals.
Pharmacologic treatment
Mice were treated pharmacologically with URB597 via alternating‐day intranasal administration for 6 months [15]. 10 microliters of a solution of URB597 (10 mg·mL−1) dissolved in a solution consisting of 10% Tween 80 and polyethylene glycol (PEG) in a 1 : 1 ratio and 90% saline solution (0.15 m NaCl) were administered to each nostril by means of a pipette to reach a dose of 5 mg·kg−1.
Cognitive assessment
Assessment of learning deficits in APP/PS1 mice
To test age‐dependent changes in learning and memory of mice, we tested separate groups of 3‐, 6‐, and 12‐month‐old mice. Animals from the same age group were tested in the novel object location and in the partner recognition tests with a one‐week interval between the tests.
Novel object location recognition test (NOLRT)
By using the NOLRT, we assessed short‐term non‐associative memory in which the amount of time spent in the active exploration of a new object provides an index of spontaneous investigation and formation of hippocampal‐sensitive recognition memory [55, 56]. NORLT was implemented in a 44 × 44 cm (25‐cm walls) quadratic Plexiglas arena with a white cover with sawdust, as described in our previous publication [57]. Briefly, mice were habituated to the arena with a 5‐min session daily for three consecutive days. On the test day, the animals were allowed to explore three identical objects (Lego pieces with different colors, roughly 2 × 2 cm) placed into the area in a fixed location for 6 min, and the time spent on inspection of the individual objects was recorded (Noldus Ethovision XT). One hour later, the animals were placed back into the box, where one object was placed into a new location. The animals were left to explore for an additional 3 min, and exploration was defined as the nose pointed within a 1 cm range at the object. The percentage of preference index (PI) was calculated as time spent in the exploration of the novel object (Ta) minus time spent exploring the familiar object (Tb) divided by the total time of exploration of the three objects (Ta + Tb + Tc) times 100 ((Ta‐Tb)/(Ta + Tb + Tc)*100). Recognition of the novel position was defined by a novelty preference, i.e., a significantly higher‐than‐chance preference for the object in the novel position. Results of trials in which the animals moved one of the objects to a new position were not included in the final analysis (2 out of 58 in the 3‐month‐old group, 2 out of 53 in the 6‐month‐old group, and 2 out of 56 in the 12‐month‐old group).
Partner recognition test (PRT)
Social memory was tested using a partner recognition test, which is especially sensitive to age‐dependent changes [58]. The test was performed in the same arenas and after the same habituation as described for the novel object location recognition test with the same cohort of animals. In the first trial, the arenas held both a metal grid cage only containing a mouse (of the same age and sex as the test animal but from a different cage) and one other object (of a similar size and form as the metal grid cage) in the opposing corner, placed 6–7 cm from the walls. The location and activity of the test mouse were recorded and analyzed by the EthoVision tracking system (Noldus) for 6 min. In the next session, 1 h later, the object was replaced with another grid cage containing a new partner, and the activity of the test mouse was recorded again for 3 min. Recognition of the previously seen partner was defined by a novelty preference, i.e., a significantly longer period than chance spent investigating the new partner in the second trial. Novelty preference was calculated as (Ta‐Tb)/(Ta + Tb) × 100; Ta is the time spent with the novel partner; Tb is the time spent with the previous partner. One trial in the 12‐month age group, where the test mouse spent most of the experimental time on top of an insert cage, was not included in the final analyses.
Assessment of learning deficits in Tg2576 mice
Different aspects of cognitive decline in AD‐like Tg2576 mice were assessed longitudinally at different ages. Hippocampal‐dependent contextual fear memory, spatial working memory and short‐term non‐associative recognition memory, were assessed via contextual fear conditioning (CFC), Y‐maze spontaneous alternation, and the novel object recognition test (NORT), respectively. To circumvent the progressive adaptation to experimental settings in context‐dependent tasks or in non‐reinforced responses, performances in the tests were assessed at 8 and 11months of age. Accordingly, the whole set of cognitive evaluation was scheduled as follows: 8 months of age, after 2 months of chronic intranasal URB597 delivery (CFC, Y‐maze, and NORT); 11 months of age, after 5 months of chronic intranasal URB597 delivery (NORT).
Contextual fear conditioning (CFC)
By the CFC procedure we assessed the performance in a type of implicit, Pavlovian‐based, associative memory. Thus, animals have to learn the relationship between an environmental cue in the form of a neutral stimulus (i.e., a tone) predicting the occurrence of an aversive, fear‐eliciting stimulus (i.e., a foot shock) [59]. Mice were handled daily for a week prior to the start of the CFC procedure. On day 1 (training phase), each mouse was placed in a sound‐attenuating standard operant chamber (Coulbourn, MD, USA) for 300 s. Each mouse was left to freely explore the environment for 2 min before the delivery of the first stimulus. After habituation, mice received a 3 kHz (at 85 dB) tone for 30 s (conditioned stimuli, CS) followed by 1 s electrical foot shock of 0.75 mA (unconditioned stimuli, US). This training procedure was repeated twice, with an intertrial interval of 2 min between the two USs. After the last shock, mice were left undisturbed in the chamber for an additional minute and then relocated back in their home cages. On day 2 (retention phase), each mouse was returned in the operant chamber and there left for 300 s in the lack of tone and foot shock but assessing the percent of time spent in freezing behavior to determine hippocampus‐dependent context‐associated fear conditioning [59, 60]. Freezing behavior was considered the lack of body movement, head turning, and grooming and recorded by video‐based freezing detection.
Y‐maze spontaneous alternation
By using the Y‐maze spontaneous alternation, we assessed short‐term spatial working memory [61] in the lack of any reward or punishment. The apparatus consists of a black plexiglass Y‐shaped maze with three (A, B, and C) 30 cm long, 10 cm wide, and 20 cm high arms. Each arm encloses a different visual cue. Procedurally, mice were acclimated to the testing room for 30 min prior to testing. The session begins with each mouse placed in the center of the Y‐maze and allows for 8 min of free exploration of the apparatus. An arm entry was defined as placing all 4 paws into the same arm, and the sequence and total number of arm entries were recorded by a video‐tracking system. The achievement of a full spontaneous alternation was considered when the mouse performed three consecutive entries to the three different arms of the maze (i.e., triads such as ABC, ACB, BAC, BCA, CAB, or CBA). Mice were omitted from data analysis if less than 8 arm entries were recorded during the 8 min trial. The percentage of shift was calculated as the number of consecutive entries (i.e., successful triads) divided by the total arm entries minus two (×100).
Novel object recognition test (NORT)
The Novel Object Recognition Test (NORT) was conducted in a circular Plexiglas arena (60 × 60 cm; 50‐cm high walls) with a white floor segmented by black lines into 25 equal squares. The arena was indirectly illuminated, and a striped card was positioned on a wall as a distal spatial cue. The NORT procedure adhered to a previously established protocol [62], incorporating the following modifications. Initially, mice underwent a 20‐min acclimatization session in the arena, during which baseline locomotor activity data were collected. Following a 5‐min intermission, each mouse was reintroduced into the arena and allowed to explore two identical novel objects placed at the arena's center during a 10‐min training phase. After a 24‐h delay, mice were placed back in the arena where one object was replaced with a novel one, allowing an 8‐min session to assess recognition memory. The position of the novel object alternated randomly between the left and right. Exploration was video recorded, defined as the mouse's nose being within 1 cm of an object. The preference index (PI) was calculated as [(Time Novel − Time Familiar) / (Time Novel + Time Familiar)] × 100, as per a previously described method [63].
Protein extraction, dot blot immunoanalysis, and immunoblotting
Aliquots of brain samples from Tg2576 mice, including PBS‐soluble, sodium dodecyl sulfate (SDS)‐soluble, and SDS‐insoluble formic acid‐extractable fractions, were prepared following established protocols [64]. In summary, frozen brain tissues were homogenized using a motor‐driven Teflon/glass homogenizer (20 strokes) in TBS supplemented with a protease inhibitor cocktail. The homogenate was centrifuged at 100 000 g for 1 h to obtain a supernatant representing the soluble fraction. This fraction was analyzed via Western blotting using specific antibodies (Table 3). The pellet was subsequently subjected to extraction with 2% SDS, followed by 70% formic acid treatment, and ultracentrifuged under similar conditions. The resultant supernatant, representing the insoluble fraction, was analyzed using dot blot immunoassay and Western blot. Proteins from all fractions were resolved by 10% SDS‐PAGE under reducing conditions and transferred to nitrocellulose membranes (Whatman, Springfield Mill, UK) for further analysis.
| Antibody | Species | Company, #catalog | Dilution |
|---|---|---|---|
| β‐Actin | Rabbit | Cell Signaling #4970 | 1:10 000 |
| iNOS | Rabbit | Cell Signaling #13120 | 1:1000 |
| GFAP | Mouse | Sigma Aldrich #SAB 5201104 | 1:1000 |
| BACE1 | Rabbit | Thermo Fisher #PA1‐12529 | 1:1000 |
| ADAM9 | Rabbit | Cell Signaling #2099 | 1:200 |
| sAPPα | Mouse | IBL #11088 | 1:200 |
| sAPPβ | Rabbit | IBL #18957 | 1:200 |
| APP | Mouse | Merck Millipore #MAB348 | 1:200 |
| Iba1 | Goat | Antibodies #A82670 | 1:2000 |
| Aβ peptides | Rabbit | GenTex GTX #134510 | 1:1000 |
| Anti‐rabbit IgG‐HRP | Mouse | Santa Cruz #sc‐2357 | 1:5000 |
| Anti‐mouse IgG‐HRP | Goat | Santa Cruz #sc‐2005 | 1:5000 |
| Anti‐goat IgG‐HRP | Donkey | Santa Cruz #sc‐2020 | 1:5000 |
For dot blot assays, a nitrocellulose membrane was cut to the desired size. Subsequently, 1–5 μL of each protein sample (40 tot μg) was spotted onto nitrocellulose membranes, and the spots were allowed to air dry, as described previously [65, 66]. For immunodetection, all filters were incubated with specific primary and secondary antibodies (supplier companies and dilutions of use are specified in Table 3). Visualization of the proteins was achieved using an enhanced chemiluminescence detection system (Luminata Crescendo Western HRP substrate, Millipore) according to the manufacturer's instructions. The chemiluminescence signals were captured using a C‐DiGit blot scanner (LI‐COR, Lincoln, NE, USA) and quantified with Image Studio Software 4.0.21 (LI‐COR).
Primary hippocampal neuronal culture
Primary hippocampal neuronal cultures were prepared from 0/2‐day‐old (P0–P2) wild‐type and Tg2576 mice. Briefly, following careful dissection from diencephalic structures, the meninges were removed, and hippocampal tissues were chopped and digested for 15 min at 37 °C in 0.025% trypsin. Cells were then seeded onto plastic 24‐well dishes coated with poly‐L‐lysine (100 μg·mL−1) in plating medium composed of Dulbecco's modified Eagle medium (DMEM) supplemented with 10% fetal bovine serum (FBS), 0.5% glucose, 1 mM sodium pyruvate, 100 U·mL−1 penicillin, and 0.1 mg·mL−1 streptomycin. After 1–2 h, the medium was replaced with serum‐free Neurobasal/B27 medium. After 2 days, AraC (5 μm) was added to prevent the growth of glial cells. For a detailed protocol, please refer to [67].
AlphaLISA
The levels of Aβ42 in brain samples or in neuron culture media were determined by amplified luminescent proximity homogeneous assay (AlphaLISA) using the AL203 C/F kit (PerkinElmer, Waltham, MA, USA) from PerkinElmer, according to the manufacturer's instructions. AlphaLISA is a bead‐based technology that allows detecting analytes by homogeneous, no‐wash immunoassay with high sensitivity and wide dynamic ranges [68].
Immunofluorescence
Following each treatment, primary neurons were plated onto glass coverslips within 24‐well plates and fixed with 3% paraformaldehyde supplemented with 4% sucrose in PBS for 20 min. After fixation, cells were washed with PBS and permeabilized for 10 min using PBS containing 5% bovine serum albumin (BSA), 0.1% NP‐40, and 0.1% Triton‐X100. Immunodetection of BACE1 was performed by incubating cells overnight with a mouse anti‐BACE1 primary antibody (1:200 dilution in PBS; Santa Cruz Biotechnology, Inc., Dallas, TX, USA) (Table 3). The cells were subsequently washed and incubated for 1 h at room temperature with Alexa Fluor 568‐conjugated goat anti‐mouse secondary antibody (1:200 dilution in PBS; Molecular Probes, Eugene, OR, USA). DAPI was used for nuclear counterstaining, and coverslips were mounted with Prolong Gold Diamond mounting medium (Molecular Probes).
Confocal imaging was conducted using a Zeiss LSM 400 microscope equipped with an HCX Plan Apo 63× oil immersion objective (NA 1.4). Red fluorescence was excited at 568 nm, and emission was captured using a 578–603 nm bandpass filter. DAPI fluorescence was excited with a 405 nm UV diode, and emission was detected using spectral separation slits (415–490 nm). Images were acquired at the equatorial plane of the cells using zen software (Zeiss) and exported as TIFF files. For presentation, brightness and contrast were adjusted using Affinity Designer v2.1 for macOS (Serif Europe Ltd., 2024). Quantitative image analysis was performed on high‐resolution images of 15 cells per sample, obtained from two independent experiments. The soma and neurite mean fluorescence intensities of BACE1 were measured using imagej software (NIH, Bethesda, MD, USA), accessible at http://imagej.nih.gov/ij/.
Quantitative real‐time polymerase chain reaction (qRT‐PCR)
Total RNA was extracted with a ReliaPrep RNA Miniprep System kit (Promega, Milan, Italy). SuperScript IV VILO Reverse Transcriptase (Invitrogen, Monza, Italy) was used for cDNA synthesis. Transcripts were quantified by qRT‐PCR using a StepOne Real‐Time PCR System sequence detector (Applied Biosystems, Monza, Italy). The predesigned TaqMan Gene Expression Assays probes used were all obtained from Applied Biosystems and are specified in Table 4. The relative expression of different amplicons was calculated by the Delta–Delta Ct (ΔΔCT) method and converted to 2−ΔΔCt for statistical analysis [69].
| No. | Gene | Assay ID |
|---|---|---|
| 1 | Bace1 | Mm00478664_m1 |
| 2 | Tgm2 | Mm00436979_m1 |
| 3 | Msr1 | Mm00446214_m1 |
| 4 | Trem2 | Mm04209424_g1 |
| 5 | Ccl2 | Mm00441242_m1 |
| 6 | Ccr2 | Mm00438270_m1 |
| 7 | Fcgr1 | Mm00438874_m1 |
| 8 | Fabp4 | Mm00445878_m1 |
| 9 | Fabp5 | Mm00783731_s1 |
| 10 | Fabp7 | Mm00445225_m |
| 11 | Psen1 | Mm00501184_m1 |
| 12 | Psen2 | Mm00448405_m1 |
| 13 | Gsk3α | Mm01719731_g1 |
| 14 | Gsk3β | Mm00444911_m1 |
| 15 | Adam9 | Mm0128460_m1 |
| 16 | Pparα | Mm00440939_m1 |
| 17 | Nos1 | Mm01208059_m1 |
| 18 | Cd33 | Mm00491152_m1 |
| 19 | Cd68 | Mm03047343_m1 |
| 20 | Aif1 | Mm00479862_g1 |
| 21 | Il1β | Mm00434228_m1 |
| 22 | Il6 | Mm00446190_m1 |
| 23 | Tnfα | Mm00443258_m1 |
| 24 | Arg1 | Mm00475988_m1 |
| 25 | Tgfβ | Mm01178820_m1 |
| 26 | Cx3cl1 | Mm00436454_m1 |
| 27 | Alox5 | Mm01182742_m1 |
| 28 | Alox12 | Mm00545833_m1 |
| 29 | Hdac6 | Mm00515945_m1 |
| 30 | Tlr4 | Mm00445273_m1 |
| 31 | Tlr9 | Mm00446193_m1 |
| 32 | Alox15 | Mm00507789_m1 |
| 33 | Adam10 | Mm00545742_m1 |
| 34 | Ido1 | Mm00492590_m1 |
| 35 | Ptgs2 | Mm00478374_m1 |
| 36 | Actin | Mm04394036_g1 |
Congo red staining
The Congo red staining was used to evaluate the amyloid plaque presence. The tissue sections were thawed, and the nuclei were counterstained with hematoxylin for 5 min and then rinsed under running water for 10 min. Subsequently, the sections were incubated with a 1% aqueous solution of Congo red (Electron Microscopy Science 26 090–25, Hatfield, PA, USA) for 1 h and then washed with PBS, with additional rinsing under running water for 5 min. The sections were allowed to air dry at room temperature and then cover‐slipped with glass using an aqueous mounting medium. The area (in μm2) and the number of plaques were quantified using Nikon's universal software platform, NIS‐Elements.
DNA methylation analysis by pyrosequencing
Methylation status of the Bace1 gene was assessed via pyrosequencing of bisulfite‐converted DNA. Purified DNA samples were subjected to bisulfite modification using the EZ DNA Methylation‐Gold™ Kit (Zymo Research, Orange, CA, USA) in accordance with the manufacturer's protocol. Bisulfite‐converted DNA was amplified using the PyroMark PCR Kit (Qiagen, Hilden, Germany) and biotinylated primers designed according to the manufacturer's instructions. PCR conditions included an initial denaturation at 95 °C for 15 min, followed by 45 cycles of 94 °C for 30 s, 56 °C for 30 s, and 72 °C for 30 s, with a final extension at 72 °C for 10 min. The PCR products were validated by agarose gel electrophoresis and bound to Streptavidin Sepharose High‐Performance beads (GE Healthcare, Chicago, IL, USA) through biotin affinity. The bound products were denatured and annealed with sequencing primers.
Sequencing was performed using the PyroMark Q24 ID instrument with PyroMark Gold reagents (Qiagen). The primers used for amplification and sequencing were designed with PyroMark Assay Design software version 2.0 (Qiagen, Hilden, Germany) to target five CpG sites within the regulatory region of the Bace1 gene. Methylation levels were quantitatively analyzed using PyroMark Q24 ID version 1.0.9 software, which calculates the percentage of methylation as mC/(mC + C) (mC: methylated cytosine, C: unmethylated cytosine) for each CpG site. Results were expressed as the average methylation percentage across all analyzed CpG sites, enabling quantitative comparisons.
Statistical analysis
Data were elaborated and analyzed statistically using R (version 4.3.3, R Foundation for Statistical Computing, Vienna, Austria; https://www.R‐project.org/) within rstudio software (2023.12.1 + 402 “Ocean Storm” release; https://posit.co/products/open‐source/rstudio/) or Prism 10 for macOS (version 10.1.1, graphpad Software). The data were firstly tested for normality (Wilk–Shapiro's test). Student t‐tests, Mann–Whitney tests, one‐way ANOVA, and two‐way ANOVA were performed using GraphPad. Sidak's method was used for post‐hoc adjustment for multiple comparisons. All graphics and boxplots were created using the R package ggplot2. Other R packages used for data management and graphics included dplyr, ggpubr, and ggrepel. Principal component analysis (PCA) and volcano plot were performed using the R packages FactoMineR and EnhancedVolcano, respectively [70, 71]. To determine the number of mice needed to reach statistical significance, power analysis was conducted, and a sufficient number of mice was used in this study. Differences were considered significant at the P < 0.05 level.
Conflict of interest
These authors declare that they have no competing interests.
Peer review
The peer review history for this article is available at https://www.webofscience.com/api/gateway/wos/peer‐review/10.1111/febs.17403.
Acknowledgements
This investigation was supported by the Italian Ministry of University and Research (MUR) under the competitive PRIN 2022 grant (no. 20224CPSYL) to SO and MM.
Data availability statement
All the data supporting the findings of this study are available from the corresponding author upon reasonable request.