Redundant Gs-coupled serotonin receptors regulate amyloid-β metabolism in vivo
© The Author(s). 2016
Received: 15 October 2015
Accepted: 14 June 2016
Published: 18 June 2016
The aggregation of amyloid-β (Aβ) into insoluble plaques is a hallmark pathology of Alzheimer’s disease (AD). Previous work has shown increasing serotonin levels with selective serotonin re-uptake inhibitor (SSRI) compounds reduces Aβ in the brain interstitial fluid (ISF) in a mouse model of AD and in the cerebrospinal fluid of humans. We investigated which serotonin receptor (5-HTR) subtypes and downstream effectors were responsible for this reduction.
Agonists of 5-HT4R, 5-HT6R, and 5-HT7R significantly reduced ISF Aβ, but agonists of other receptor subtypes did not. Additionally, inhibition of Protein Kinase A (PKA) blocked the effects of citalopram, an SSRI, on ISF Aβ levels. Serotonin signaling does not appear to change gene expression to reduce Aβ levels in acute timeframes, but likely acts within the cytoplasm to increase α-secretase enzymatic activity. Broad pharmacological inhibition of putative α-secretases increased ISF Aβ and blocked the effects of citalopram.
In total, these studies map the major signaling components linking serotonin receptors to suppression of brain ISF Aβ. These results suggest the reduction in ISF Aβ is mediated by a select group of 5-HTRs and open future avenues for targeted therapy of AD.
One primary pathology of Alzheimer’s disease (AD) is the accumulation of insoluble amyloid-β (Aβ) plaques in the brain. Aβ is produced by sequential cleavage of the amyloid precursor protein (APP) by β- and γ-secretases [1, 2]. Alternatively, activity of another type of enzymes, α-secretases, can cleave within the Aβ sequence and prevent its formation . Concentration is a key factor that determines whether soluble Aβ peptide aggregates into oligomers and plaques [4, 5], with higher concentrations increasing the likelihood that toxic multimers of Aβ will form. Consequently, reducing Aβ levels is one promising target for AD therapy.
Serotonin, Aβ, and AD have been connected in several studies in the scientific literature. The amount of both serotonin (5-HT) and its receptors (5-HTRs) are reduced in human post-mortem AD studies [6, 7]. Serotonergic activity reduces Aβ production rates in vitro and 5-HTR agonists alter APP processing to increase soluble fragments of the protein that are consistent with a suppression in Aβ generation [8–11]. Manipulating serotonin levels in vivo shows similar effects. In our previous work, treating APPswe/PS1∆E9 (APP/PS1) mice with a single dose of a selective serotonin re-uptake inhibitor (SSRI) reduced brain interstitial fluid (ISF) Aβ concentrations by 25 % . Serotonin treatment did not alter the Aβ elimination rate which suggests this reduction was not mediated by Aβ clearance mechanisms. Instead, α-secretase enzymatic activity was increased by SSRI treatment, suggesting that Aβ generation was suppressed. Chronic dosing with a SSRI over 4 months reduced brain Aβ plaque load and cerebrospinal fluid (CSF) Aβ levels in mice by 50 % . Similar reductions in Aβ were seen by SSRI treatment of 3xTg AD mouse model . The reduction in Aβ by SSRI is not limited to mice; young adult, cognitively normal, non-depressed individuals given a single dose of the SSRI citalopram also showed a reduction in CSF Aβ levels in a matter of hours .
The cellular mechanism of SSRI-induced Aβ reduction is likely complex. There are 15 identified serotonin receptors expressed in the brain . Most 5-HTRs are G-protein coupled receptors (GPCRs) while 5-HT3R is the only ionotropic cation channel . 5-HT1R and 5-HT5R couple to Gi/o signal proteins and typically lead to Protein Kinase C (PKC) activation [16–18] while 5-HT2R signals through Gq proteins to activate calcium-calmodulin dependent kinase II (CaMKII) [15, 19]. 5-HT4R, 5-HT6R, and 5-HT7R activate Gs proteins, which usually increase cyclic AMP levels, and induce Protein Kinase A (PKA) activation [10, 15, 20]. Interestingly, stimulating some serotonin receptors can activate the extracellular signal-regulated kinase (ERK) [18, 20–22]. Inhibition of MAP kinase-ERK kinase (MEK), the kinase that activates ERK, reduces the production of the α-secretase cleavage product sAPPα in vitro . Also, inhibiting either ERK or MEK increased ISF Aβ levels in mice and blocked the SSRI-dependent reduction in Aβ . Our current study shows serotonin-induced reductions of Aβ, rely on the Gs-linked serotonin receptors and PKA signaling. We also provide evidence that serotonergic-dependent suppression of Aβ is mediated through an increase in α-secretase enzymatic activity.
Serotonin-induced reduction in ISF Aβ is receptor specific
Aβ is largely produced by neurons during synaptic activity and is continually released into the ISF [24–27]. We used in vivo brain microdialysis to measure dynamic changes in ISF Aβ levels . This method allows for serial collection of ISF Aβ every hour over the course of several days from awake and freely mobile mice . Small molecule compounds can be administered by intraperitoneal (i.p.) injection or by infusing the agents directly into the brain via the microdialysis probe, a method called reverse microdialysis when agents cross the membrane and act locally around the probe. Local infusion circumvents the blood brain barrier and allows for continual administration over time.
Pharmacological agents used for reverse microdialysis
IC50 or Ki
Rev MD Concentration
Dosage Across MD Membrane
0.5 nM-27 nM
The dose of each agonist was 5-175 times more selective for their targets than other receptor types. We estimate that only 10 % of each compound crosses the microdialysis membrane; however, this varies based on drug properties so we cannot rule out some off-target effects of these compounds. The concentration of 5-HT1AR agonist we used in this experiment could possibly activate α-adrenergic receptors, though we saw no reduction in Aβ levels like those seen with the potent adrenergic receptor agonist caffeine . To verify that the reductions in ISF Aβ were indeed to due to 5-HTR activation, we co-administered a 5-HT7R antagonist and agonist to APP/PS1 mice (Fig. 1f). Pretreatment with the antagonist completely blocked the reduction in ISF Aβ by the agonist, demonstrating the specificity of this suppression in ISF Aβ is due to those receptors.
Citalopram also significantly reduced soluble APPα (sAPPα) levels in the ISF of young APP/PS1 by 17.4 ± 4.0 % (p <0.05) as assessed with 1,000 kDa MWCO microdialysis probes and assessed by Western blotting (Additional file 1: Figure S1). However, the SSRI had no effect on ISF Aβ oligomers in these young mice (Additional file 1: Figure S2).
Selective 5-HTR antagonists increase ISF Aβ
Inhibition of PKA activity increases ISF Aβ levels
Acute SSRI treatment does not change expression of Aβ metabolism-related genes/proteins
We also performed Western blots for several putative α-secretase proteins (ADAM10, ADAM17, MMP2) in hippocampi from mice treated with citalopram for 16 h (Additional file 1: Figure S3). We did not find any change in expression levels for these proteins in whole tissue extracts; however, we cannot discount the possibility of altered sub-cellular localization of these proteins or that their enzymatic activity could be enhanced  despite no change in expression.
α-secretase mediates the serotonin-induced reduction in ISF Aβ
We found that only a subset of 5-HTRs are required to suppress brain Aβ levels in vivo. Serotonin receptors that activate PKA subsequently activate ERK to increase α-secretase enzymatic activity. This increased activity cleaves APP within the Aβ sequence to suppress brain ISF Aβ levels.
ISF Aβ levels are reduced by specific 5-HTRs signaling through PKA
Stimulation of serotonin receptors with SSRI antidepressants reduces brain ISF Aβ by 25 % in APP/PS1 transgenic mice . As SSRI compounds are not selective for a specific 5-HTR, therefore any or all of the receptors could reduce ISF Aβ. In this study we demonstrate that stimulation of 5-HT4R, 5-HT6R, and 5-HT7R with selective agonists significantly lowered ISF Aβ while agonists for other 5-HTR subtypes did not (Fig. 1). Interestingly, the magnitude of reduction by 5-HT4R, 5-HT6R, or 5-HT7R activity alone was equal to the reduction induced by serotonin or SSRI. Further, blocking activity of one receptor has no effect on Aβ; blocking two of these receptors together is necessary to increase ISF Aβ (Figs. 1 and 2). This suggests there is a redundancy and compensation in the serotonin signaling pathway that is capable of suppressing Aβ generation. These results suggest that activity of only three 5-HTRs are primarily responsible for the reduction in Aβ after SSRI treatment. Our data are consistent with previous findings in the literature. Tesseur et al. showed 1 month treatment with a 5-HT4R selective agonist reduced soluble Aβ40 and plaque load in the hippocampus . Also, Gianonni et al. showed therapy with a weak 5-HT4R agonist increased concentrations of the α-secretase product and reduced plaque load in 5xFAD mice . 5-HTR subtypes 4, 6 and 7 are Gs-linked receptors that typically activate PKA. Tesseur et al. reported that 5-HT4Rs activate phospholipase C (PLC) to reduce Aβ levels ; further studies are necessary to determine if PKA and PLC work in concert or are mutually-exclusive pathways to modulate Aβ levels. It is worth noting that we used agonists for 5-HT 1A, 2C, 4, 6, and 7 receptors as representatives for each class. However, we cannot draw absolute conclusions whether other 5-HTR subtypes may have similar or even contrary effects on Aβ levels. Additionally, activation of 5-HT2CR had a trend to increase ISF Aβ levels (p = 0.0625), suggesting that other receptor subtypes may have the opposite effect on ISF Aβ. Whether or not other 5-HT receptors have opposing effects on Aβ remains to be explored. It is important to note the limitation that few compounds tested had a full dose–response performed to determine their most effective dose in vivo. Most of these selective compounds begin stimulating off-target receptors above a specific concentration. For example, a higher dosage for the 5-HT 1A or 2C agonists may change ISF Aβ levels, but any effects would be confounded by these off-target interactions. Identifying the minimum concentration that reduces ISF Aβ for each compound would be valuable from a therapeutic standpoint. However, the primary focus of this study was 5-HT signaling pathways instead of AD therapy.
5-HTR subtypes 4, 6 and 7 activate Gs proteins, typically increase cAMP levels, and induce PKA activation [15, 20]. The strong reduction of ISF Aβ induced by stimulating these receptors suggests that PKA may be involved. We showed that inhibition of PKA activity with two structurally-distinct, selective inhibitors significantly increased ISF Aβ and abolished the effects of SSRI (Fig. 3). This result suggests that PKA activity is necessary for the reduction in ISF Aβ by serotonergic signaling. Interestingly, the increase in Aβ after PKA inhibition was of a similar magnitude to the increase observed after ERK inhibition [12, 38]. The interactions between these two kinases are complex. Stimulating PKA with serotonin has been shown to induce ERK activation, but there is evidence that ERK can activate PKA after exposure to brain derived neurotrophic factor (BDNF) [20, 47]. However, treating APP/PS1 mice with BDNF had no effect on ISF Aβ . Further work will be necessary to understand the relationship between these two kinases following SSRI treatment.
Citalopram does not change expression of Aβ metabolism related genes after acute SSRI treatment
We have shown that ERK inhibition raises Aβ and abolishes the effects of citalopram . Generally, ERK can act within two cellular compartments; ERK can translocate into the nucleus to modify gene expression or can phosphorylate proteins in the cytoplasm. We saw no significant changes in expression in the major genes related to Aβ metabolism, serotonin receptors, or signaling pathways 16 h after SSRI treatment (Fig. 4). However, these results do not necessarily exclude the role of gene expression in Aβ production after SSRI treatment; other studies have shown reductions in secretase-related genes after chronic SSRI administration [12, 45]. However, those reductions were seen after months of treatment whereas our data were obtained after only a few hours. More research is necessary to understand when expression of Aβ metabolism genes begins to decline after SSRI treatment and what impact this has on Aβ. The rapid reduction in ISF Aβ we observe in the acute timeframe suggests a post-translational response to alter enzymatic activity. Additionally, our qPCR data also suggest ERK is acting outside the nucleus to reduce Aβ.
α-secretase mediates the effects of serotonin-induced reduction of Aβ
ADAM10 is the constitutive α-secretase protein in neurons, however ADAM17 and MMP9 can act as α-secretase as well [3, 41, 42]. Using a broad spectrum inhibitor of ADAM and MMP enzymes, GM6001, we showed that blocking α-secretase enzymatic activity alone increases ISF Aβ levels rapidly and, more importantly for this study, completely blocks the SSRI-dependent suppression in ISF Aβ levels (Fig. 5). Admittedly, broadly inhibiting ADAM/MMP proteins with GM6001 is mechanistically complicated; ADAM/MMP proteases could affect both Aβ generation and Aβ clearance [3, 48]. However, previous studies  have found citalopram SSRI does not affect Aβ clearance, meaning the effect here is likely on Aβ production. Unfortunately, the broad range of targets for GM6001 prevents us from identifying which α-secretase protease is responsible for the reduction in ISF Aβ after SSRI. Future studies using a more targeted approach with selective inhibitor compounds or genetic manipulation of the putative α-secretases will be necessary to answer that question.
Interestingly, treatment with a SSRI reduces both ISF Aβ levels and ISF sAPP-α levels. This result is actually opposite of what one might expect if serotonin increases α-secretase activity; however, the sAPP fragments have their own metabolic pathways that are not fully understood. The idea that APP cleavage produces a 1:1 relationship between all the fragments is not necessarily true. We find this new data intriguing and believe future studies are important and necessary to uncover the mechanisms are work here.
Activation of 5-HTR subtypes 4, 6, and 7 all reduce ISF Aβ by ~25 % which is the same amount as either SSRI treatment or direct 5-HT infusion (Fig. 1a, b). This suggests that these receptors likely activate a common signaling pathway, and activity of any of these receptors is sufficient to fully activate this pathway to suppress Aβ. Supportive of this hypothesis is that antagonizing one receptor alone does not change ISF Aβ, but antagonizing two receptors is necessary to increase Aβ by 30 % (Fig. 2). This suggests there is functional redundancy to serotonergic suppression of Aβ generation.
The dramatic reductive effects of SSRIs on Aβ in mice and humans are encouraging for AD therapy. Millions of individuals world-wide use SSRIs on a daily basis for Depression and other disorders; however, these agents are not without side effects. 5-HTRs can be found throughout the digestive system [53, 54], and their stimulation by SSRI therapy can cause unpleasant digestive problems . Also, stimulation of 5-HT2R in vascular tissue can lead to constriction of blood vessels and sexual side effects [55, 56]. Focusing AD therapy on a single or subset of 5-HTRs may reduce some of the side effects of SSRI treatment. In this report, we have shown activation of 5-HT4R, 5-HT6R, and 5-HT7R by selective agonists can significantly reduce ISF Aβ in mice by 25 %. In other mouse studies, a similar reduction of Aβ levels is sufficient to completely block plaque growth and significantly reduce new plaque formation [13, 57]. The safety and efficacy of selective agonists for these receptors need to be tested in humans; however, they offer a tantalizing path to treating AD.
All experiment protocols using animals were performed in accordance to the guidelines established by the Animal Studies Committee at Washington University. We bred APPswe/PS1∆E9 hemizygous mice (Jackson Laboratory)  to wild type C3H/B6 mice and aged the APP/PS1 +/- offspring to 2–3.5 months for experiments. Mice were screened for APPswe and PS1ΔE9 transgenes by PCR from toe DNA.
All pharmaceutical compounds were ordered from Tocris Biosciences except for serotonin hydrochloride (Sigma-Aldrich). All compounds delivered by reverse microdialysis were diluted in microdialysis buffer consisting of artificial cerebrospinal fluid (aCSF) with 0.15-2 % BSA (Sigma-Aldrich). Specificity of each compound for its target was established by activity assays against libraries of receptors as described in previous literature [59–68]. The selectivity limit is the concentration above which the compound begins to stimulate off-target receptors. Concentrations used took into account the IC50 or Ki for each compound and only 10 % delivery across the membrane at a 1 μl/min flow rate (Table 1). This small volume of each compound would be diluted even further in brain CSF. Agonists are 5-175 times more selective for their targets than other receptor types. Citalopram hydrobromide (Toronto Research Chemicals) was diluted in PBS and injected i.p. at 10 mg/kg of body weight.
In vivo Aβ microdialysis
In vivo microdialysis to measure brain ISF Aβ and sAPP-α in the hippocampus of freely moving APP/PS1 mice was performed similar to previously described [12, 24, 28]. This method captures soluble molecules in the extracellular fluid that are below the 30 kDa molecular weight cutoff of the probes. Under volatile isoflurane anesthetic, guide cannula (BR-style; Bioanalytical Systems or Atmos; EICOM) were cemented above the left hippocampus (3.1 mm behind Bregma, 2.5 mm lateral to midline, and 1.2 mm below dura at a 12° angle). Two millimeter microdialysis probes were inserted through the guides so their membranes were completely contained in the hippocampus (30 kDa BR-2; Bioanalytical Systems; 1,000 kDa AtmosLM; EICOM). Microdialysis buffer was aCSF (perfusion buffer in mM: 1.3 CaCl2, 1.2 MgSO4, 3 KCl, 0.4 KH2PO4, and 122 NaCl, pH 7.35) containing 0.15-2 % BSA (Sigma-Aldrich) that was filtered through a 0.1 μM membrane. The flow rate was 1.0 μL/min. Samples were collected every 60 or 90 min into a refrigerated fraction collector (Univentor Limited) in polypropylene tubes and assessed for Aβx-40 by sandwich ELISA. Basal ISF Aβ levels were defined as the mean concentration of Aβ over the 9 h preceding drug administration. All Aβ values were normalized to the basal Aβ concentration for each animal. After establishing baseline ISF Aβ, pharmaceutical agents (serotonin, 5-HTR agonists, 5-HTR antagonists, enzyme inhibitors) were diluted in microdialysis perfusion buffer and infused directly into the hippocampus by reverse microdialysis (Table 1).
Aβ sandwich ELISA
ISF Aβx-40 levels were measured using sandwich ELISAs as described . This ELISA detects both human and murine Aβ. A mouse anti-Aβ40 antibody (mHJ2; 10 μg/ml) against the C-terminus of Aβ was used to capture peptides and a biotinylated central domain antibody (mHJ5.1; 75 ng/ml) was used to detect them. This was followed by a streptavidin poly-HRP-40 assay to measure Aβ concentration (Fitzgerald Industries). All steps included washes with PBS containing 0.05 % Tween-20. The standard curve for the ELISA was synthetic Aβ40 (American Peptide) taken from a stock in formic acid to remove preformed aggregates. ELISA sample buffers included sufficient Tris to neutralize pH of the formic acid. To detect Aβ oligomers, ELISA plates were coated a mouse anti-Aβ antibody (mHJ3.4; 10 μg/ml) to capture of N-terminus of the peptide then detected using the same monoclonal antibody that was biotinylated (500 ng/ml). None of the buffers for this assay contain detergents as such agents can artificially produce Aβ aggregates. The standard curve for this ELISA is a synthetic dimer of human Aβ40 that contains a Ser26Cys mutation that enables us to covalently crosslink the peptides together. The dimer is then specifically isolated by size exclusion chromatography. Aβ dimers were a generous gift from Dr. David Brody, Washington University. The oligomer assay is similar to one used in . All ELISAs were developed using Super Slow ELISA TMB (Sigma-Aldrich) and absorbance read on a Bio-Tek Epoch plate reader at 650 nm.
Quantitative real-time PCR (qPCR)
2.5 month old APP/PS1 mice were given 10 mg/kg i.p. injections of citalopram or PBS. Mice were sacrificed 16 h later, and their hippocampi were microdissected. Total RNA were extracted using the RNeasy Mini kit (Qiagen) and reverse transcribed using the High Capacity cDNA Reverse Transcription kit (Life Technologies). Individual primers were designed using Harvard Medical School Primer Bank (http://pga.mgh.harvard.edu/primerbank/index.html) [70–72]. See Additional file 1 for primer sequences and database identification numbers. qPCR was performed using the Fast SYBR Green Master Mix (Applied Biosystems) in ABI 7900HT (Applied Biosystems) with the default thermal cycling program. Dissociation curves were analyzed following qPCR assay to confirm primer efficacy. Endogenous mouse GAPDH was used as a normalization reference. Relative mRNA levels were calculated by comparative Ct method using the ABI 7900HT Sequence Detection Systems version 2.0.5 and GenEx version 5 software (MultiD analyses). Levels of each mRNA were statistically compared to CaMKII mRNA levels, which our previous studies have shown does not mediate suppression of brain Aβ levels .
ISF samples collected from 1,000 kDa MWCO microdialysis probes (AtmosLM, Eicom) in APP/PS1 mice treated with citalopram for 16 h were utilized for Western blotting for soluble APP-α. Hippocampus from APP/PS1 mice treated with citalopram for 16 h was lysed in 1 % Triton X-100, 0.1 % SDS in PBS by sonication. 20 μg of total protein was loaded per lane on SDS-PAGE gels. SDS-PAGE was performed using 4–12 % Bis-Tris NuPAGE gels (Invitrogen, Carlsbad, CA) under reducing conditions with 24 μl of microdialysis sample loaded into each lane. Samples were loaded onto the gels in alternating basal and drug-treated samples. Nitrocellulose blots were probed with either mouse-anti-human APP antibody directed against the C-terminus of sAPP-α (m6E10; BioLegend), rabbit-anti-ADAM10 antibody (H-300; Santa Cruz Biotech), rabbit-anti-ADAM17 (Abcam), goat-anti-MMP2 (C-19; Santa Cruz Biotech), or mouse-anti-GAPDH (Sigma-Aldrich) followed by either a sheep-anti-mouse antibody (GE Life Sciences), donkey-anti-rabbit antibody (Santa Cruz Biotech), or a donkey-anti-goat antibody (Santa Cruz Biotech) conjugated to peroxidase. Bands were detected with Lumigen-TMA6 (Amersham, Piscataway, NJ) and captured digitally using the Kodak ImageStation 440CF. Densitometry was performed using the Kodak 1D Image Analysis software. Tissue protein levels were normalized to GAPDH for each lane, then normalized to % vehicle for each blot, followed by data from two blots being combined for analysis.
Data in figures are presented as mean ± SEM. All statistical analysis was performed using Prism version 6.0 for Windows (GraphPad). For analysis of microdialysis data at endpoints, the final 3 data points for a given treatment phase were averaged, and one-way ANOVA analyses were performed with Dunnett’s corrections for multiple comparisons. Comparison of only two groups was performed using a two-tailed, unpaired Student t-test method. For qPCR analysis, mean levels of gene expression were analyzed by one-way ANOVA with Dunnett’s corrections for multiple comparisons. Values were accepted as significant if p-value ≤ 0.05.
Thanks to Dr. Jungsu Kim at Mayo Clinic in Jacksonville for advice on qPCR primer design, help with data analysis, and primer sequences for APP. Thank you to Drs. Qingli Xiao and Jin-Moo Lee at Washington University for the MMP9 primer sequences. This work was funded by National Institutes of Health (NIH)/NIA (R01 AG042513; JRC), NIH/NIA (R21 AG045691; JRC) NIH/NINDS (P01 NS074969; JRC), NIH/NIA (R01 AG041502; YIS), NIH/NIA (P50), BrightFocus Foundation, the Knight Family, and the Charles F. and Joanne Knight ADRC at Washington University (JRC). Funding was also provided by the NIH/NIGMS Cellular and Molecular Training Program (GM007067; JRF).
JF was responsible for designing and performing the experiments described in this text. He also analyzed the data, wrote the manuscript, and edited the document. DT and CEW performed experiments and analyzed data. YS aided with experimental design, data interpretation, and manuscript revision. JC assisted with experimental design, performed experiments, aided with data interpretation, and revised the manuscript. All authors read and approved the manuscript.
The authors declare that they have no competing interests.
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