Keywords: nerve regeneration, Alzheimer's disease, synaptic plasticity, hippocampus, learning and memory, long-term potentiation, β amyloid, glutamate receptor, synaptic strength, neural regeneration
Abstract
Mounting evidence suggests that synaptic plasticity provides the cellular biological basis of learning and memory, and plasticity deficits play a key role in dementia caused by Alzheimer’s disease. However, the mechanisms by which synaptic dysfunction contributes to the pathogenesis of Alzheimer’s disease remain unclear. In the present study, Alzheimer’s disease transgenic mice were used to determine the relationship between decreased hippocampal synaptic plasticity and pathological changes and cognitive-behavioral deterioration, as well as possible mechanisms underlying decreased synaptic plasticity in the early stages of Alzheimer’s disease-like diseases. APP/PS1 double transgenic (5XFAD; Jackson Laboratory) mice and their littermates (wild-type, controls) were used in this study. Additional 6-week-old and 10-week-old 5XFAD mice and wild-type mice were used for electrophysiological recording of hippocampal dentate gyrus. For 10-week-old 5XFAD mice and wild-type mice, the left hippocampus was used for electrophysiological recording, and the right hippocampus was used for biochemical experiments or immunohistochemical staining to observe synaptophysin levels and amyloid beta deposition levels. The results revealed that, compared with wild-type mice, 6-week-old 5XFAD mice exhibited unaltered long-term potentiation in the hippocampal dentate gyrus. Another set of 5XFAD mice began to show attenuation at the age of 10 weeks, and a large quantity of amyloid beta protein was accumulated in hippocampal cells. The location of α-amino-3-hydroxy-5-methylisoxazole-4-propionic acid receptor and N-methyl-D-aspartic acid receptor subunits in synaptosomes was decreased. These findings indicate that the delocalization of postsynaptic glutamate receptors and an associated decline in synaptic plasticity may be key mechanisms in the early onset of Alzheimer’s disease. The use and care of animals were in strict accordance with the ethical standards of the Animal Ethics Committee of Capital Medical University, China on December 17, 2015 (approval No. AEEI-2015-182).
Chinese Library Classification No. R453; R364
Introduction
Alzheimer’s disease (AD) is the most common neurodegenerative disease among older people. AD is defined pathologically by extracellular senile plaques of amyloid beta (Aβ) deposition (Braak and Braak, 1991; Thal et al., 2002; Huang and Mucke, 2012; Koehler and Williams, 2018; Zhang et al., 2018), and intracellular neurofibrillary tangles caused by hyperphosphorylation of Tau. Although the precise mechanisms underlying AD remain unclear, the “Aβ cascade hypothesis” (Hardy et al., 1991; Selkoe, 1991; Hardy and Selkoe, 2002) has been proposed to explain the pathogenesis of AD in recent years. This hypothesis suggests that aggregated Aβ may cause synaptic dysfunction, inflammation, and dementia (Selkoe and Hardy, 2016). However, in recent years, new drugs targeting Aβ for the treatment of AD have failed in clinical trials (Hitman et al., 1989; Small and Duff, 2008; Herrup, 2015), facilitating an effort to identify earlier treatable key events in the context of AD pathology. However, it remains unclear which mechanisms cause the onset of AD and boost its progression.
Progressive irreversible memory impairment is a feature of AD, primarily resulting from deficits in synaptic plasticity (Terry et al., 1991; Sheng., 2012; He et al., 2018), and is typically evaluated by long-term potentiation (LTP) and long-term depression (Briggs et al., 2017) in memory formation. In AD, LTP suppression and long-term depression facilitation were found to accompany memory loss, and are recognized as pathophysiological bases of dementia (Fitzjohn et al., 2001; Palop et al., 2007). Other studies reported that human-derived soluble Aβ oligomers inhibited LTP expression and attenuated learning and memory ability in rodents (Walsh et al., 2002; Shankar et al., 2008). While the relationship between Aβ and synaptic plasticity and cognitive behavior has been extensively studied (Walsh et al., 2002; Tsai et al., 2004; Cleary et al., 2005; Shankar et al., 2008; Li et al., 2011; Marsh and Alifragis, 2018), it would be useful to elucidate the possible molecular mechanisms involved in these events in the context of AD.
The development of various animal models of AD has provided a powerful tool for studying its pathogenesis and therapeutic basis. The 5XFAD transgenic mouse carrying human mutant APP695 with Swedish (K670N, M671L), Florida (I716V), and London (V717I) familial Alzheimer’s disease (FAD) mutations along with human PS1 harboring two FAD mutations, M146L and L286V (Oakley et al., 2006) is widely used in researching AD pathogenesis and therapeutic strategies. In the past several years, transgenic mouse model studies have produced mounting evidence for plaque- or soluble Aβ-related behavioral impairment and synaptic dysfunction (Wu et al., 2014; Iaccarino et al., 2016; Choi et al., 2018; Griñán et al., 2018). However, it may be valuable to explore the intracellular Aβ effects on synaptic function, since intracellular Aβ accumulation occurs before senile plaque formation (Oakley et al., 2006). In a previous study, we found that 5XFAD mice did not show spatial memory or learning impairment in the routine Morris water maze test until the age of 4.5 months, at which time Aβ-positive plaques had been developing extracellularly in the local field (Wang et al., 2014). These findings suggest that earlier AD-like phenomena occur in the AD mouse brain, which could potentially be discovered using sensitive measures. In the present study, we sought to detect an early time-point of decline in synaptic function in an AD-like process. We found that the decline in synaptic plasticity occurred ahead of extracellular Aβ accumulation in the hippocampus of 5XFAD transgenic mice at 10 weeks of age, while behavioral impairment was undetectable until 14 weeks of age, using a reversal learning protocol. Here, we propose that synaptic dysfunction might be a leading event in an AD-like process, even precede Aβ accumulation and obvious cognitive impairment.
Materials and Methods
Animals
APP/PS1 (5XFAD) double transgenic mice (stock No. 006554, Jackson Laboratory) and their non-transgenic wild-type littermates were randomly selected after identifying the genotype for FAD group and wild-type (WT) group (control) mice. We selected female animals to exclude the effects of sex on phenotype. There were seven WT mice and five FAD mice at 6 weeks old. There were eight WT mice and 11 FAD mice at 10 weeks old. There were seven WT mice and eight FAD mice at 12 weeks old.
Mice were specific-pathogen-free level and were housed in cages of up to five mice with a controlled environment of 22–25°C, 50% humidity and a 12-hour light/ dark cycle. The use and care of animals were in strict accordance with the ethical standards of the Animal Ethics Committee of Capital Medical University, China on December 17, 2015 (approval No. AEEI-2015-182).
Morris water maze
Mice at 12 weeks of age were subjected to the Morris water maze test. The experiment ran for 2 weeks, and the mice on the last day were 14 weeks old. The maze consisted of a circular stainless-steel tank (120 cm diameter) filled with water (20–22°C), and the tank was surrounded by a light blue curtain fixed with four visual cues inside. The circular swimming pool was divided into four quadrants: northeastern (NE), southeastern (SE), southwestern (SW) and northwestern (NW). The training task included two periods: acquisition training and reversal training. Twenty-four hours before acquisition training, mice were allowed to habituate in the pool containing a visible platform (5 cm diameter) for 60 seconds, the swim speed and the time to get to the platform (escape latency, seconds) were recorded. Mice that were unable to reach the visible platform within 60 seconds were excluded. In the acquisition training, mice were required to swim to find a hidden platform (in quadrant NE) submerged 0.5 cm below the water surface. Mice were trained in the acquisition task for four trials (four start points from six points: N, E, S, W, SE, NW) per day for five consecutive days. During each trial, the mouse was allowed to swim until the platform was found, and the escape latency was recorded. Mice that failed to find the hidden platform within 60 seconds were placed on the platform for 30 seconds by an experimenter and their escape latency was recorded as 60 seconds. After the acquisition training, the hidden platform was moved to the opposite quadrant (from NE to SW). We refer to this testing process as “reversal training”. This training was conducted in the same way as the acquisition training mentioned above, but with four new start points (four start points from six points: S, W, N, E, NW, SE). A probe trial (60 seconds) with withdrawal of the platform 24 hours after the last reversal training day was applied and the swimming time spent in the target quadrant and the other quadrants were recorded. Performance was automatically recorded with a video tracking system and analyzed using Smart software 2.0 (Panlab Harvard Apparatus, Barcelona, Spain).
Acute slice preparation
Mice were intraperitoneally anesthetized with 6% chloral hydrate (400 mg/kg) and perfused transcardially with ice-cold, high-sucrose modified artificial cerebrospinal fluid containing (in mM): 10 glucose, 213 sucrose, 3 KCl, 1 NaH2PO4·2H2O, 26 NaHCO3, 0.5 CaCl2·2H2O, 5 MgCl2·6H2O (pH7.4). Brains were rapidly removed into ice-cold high-sucrose artificial cerebrospinal fluid. The 400 μm-thick slices were cut on a vibratome (Leica, Bensheim, Germany) in high-sucrose artificial cerebrospinal fluid, and immediately transferred to an incubation chamber containing artificial cerebrospinal fluid (in mM): 10 glucose, 125 NaCl, 5 KCl, 1.2 NaH2PO4·2H2O, 26 NaHCO3, 2.6 CaCl2·2H2O, 1.3 MgCl2·6H2O (pH 7.4) (all reagents from Sigma, St. Louis, MO, USA). The slices were incubated to recover at 35°C for 40 minutes before being allowed to equilibrate at room temperature for a further 20 minutes. During slice preparation and recording, artificial cerebrospinal fluid was continuously mixed with the gas, including 95% O2 and 5% CO2.
Electrophysiological recording
A multi-electrode dish (MED 64 planar microelectrodes; Panasonic, Osaka, Japan) was prepared as described previously (Zhen et al., 2017). The perforant pathway in the dentate gyrus of the hippocampus was selected as the stimulation site; the recording site was determined by occurrence of field excitatory postsynaptic potential (fEPSP) response in dentate gyrus. The evoked fEPSPs were amplified by a 64-channel amplifier then digitized at a 20 kHz sampling rate. Synaptic responses were stabilized for 15 minutes; traces were obtained and analyzed using an MED64 System software program (Alpha Med Science Inc., Osaka, Japan). The input-output curve was determined by the measurement of fEPSP amplitude or slope in response to a series of stimulation intensities starting at 10 μA. The 30–50% maximum of input-output curve stimulation intensity was determined for subsequent LTP recording. Baseline responses were then recorded for an additional 15 minutes at 0.033 Hz of stimulation. LTP was then induced by theta-burst stimulation, which consisted of five bursts with interval of 10 seconds, each burst containing four pulses at 100 Hz with an inter-burst interval of 200 ms (5XTBS). After 5XTBS, the test stimulus was repeatedly delivered once every 30 seconds for 60 minutes to observe any changes in LTP magnitude and duration.
Immunohistochemistry
Half of each brain was subjected to electrophysiological recording as mentioned above. The other half of each brain was fixed in 4% paraformaldehyde in phosphate-buffered saline overnight at 4°C. After sucrose gradient dehydration, the brains were embedded with optimum cutting temperature compound and sectioned along the coronal plane on a freezing microtome (Model: 2165; Leica) at 30 μm. A standard avidin-biotin complex staining method was utilized to assess the distribution of Aβ signal. We used mouse monoclonal anti-Aβ antibody (6E10, 1:1000; 4°C, overnight, SIG-39300; Covance, Princeton, NJ, USA) and a secondary antibody, biotinylated goat anti-mouse IgG (1:200, room temperature, 2 hours; Vector Laboratories, Burlingame, CA, USA). After a sequential process of 3,3′-diaminobenzidine staining, air-drying, dehydration, and hyalinization, the sections were mounted on glass slides and cover-slipped. Specific Aβ-positive staining was observed with a light microscope (Olympus, Tokyo, Japan).
Subcellular fractionation of proteins
Subcellular fractionation of proteins was prepared as described previously (Gu et al., 2009). After slices were prepared as described above, the hippocampus was separated and homogenized in ice-cold lysis buffer (10 mL/g, pH 7.6) (in mM): 15 Tris, 250 sucrose, 1 phenylmethylsulfonyl fluoride, 2 ethylenediamine tetraacetic acid, 1 glycol-bis-(2-aminoethylether)-N,N,N′,N′-tetraacetic acid, 10 Na3VO4, 25 NaF, 10 sodium pyrophosphate, protease inhibitor tablet, and phosphatase inhibitor tablet. After centrifugation at 4°C and 800 × g for 10 minutes, the supernatant was taken, and 50 μL was left as the total proteins. The remaining supernatant was centrifuged at 4°C and 10,000 × g for 10 minutes. The supernatant and pellet were divided, and the supernatant was centrifuged at 4°C and 165,000 × g for 30 minutes to obtain the cytosolic fraction. The pellet was dissolved in lysis buffer containing 1% Triton X-100 and 300 mM NaCl, homogenized and centrifuged at 4°C and 16,000 × g for 30 minutes to obtain Triton soluble fraction, which includes cytosolic proteins in synapses and Triton insoluble fraction, which mainly includes membrane associated proteins in synapses and can be dissolved in 1% sodium dodecyl sulfate.
Western blot assay
Each fraction of proteins was separated on 10% sodium dodecyl sulfate-polyacrylamide gel, and transferred to nitrocellulose membranes (Millipore). After blocking with 5% nonfat dry milk for 1 hour at room temperature, membranes were incubated with the primary antibodies (NR1 monoclonal antibody, CST, Cat No. D65B7, 1:1000; GluA1 polyclonal antibody, Millipore, Cat No. AB1504 1:2000; tubulin monoclonal antibody, Sigma, Cat No. T8203, 1:10,000) at 4°C overnight. The primary antibody-labeled membranes were incubated with secondary antibodies (goat anti-mouse IgG, horseradish peroxidase conjugated, 1:10,000, Cat No. CW0102A or goat anti-rabbit IgG, horseradish peroxidase conjugated, 1:10,000, Cat No. CW0103A, CWBIO) at room temperature for 2 hours. The blots were then exposed to the chemiluminescence substrate (Thermo). The bands were then visualized using the gel imaging analysis system (Bio-Rad). The gray value was obtained from bands using ImageJ software (National Institutes of Health, Maryland, USA). Total protein fractions were normalized to their own tubulin of total protein. Triton soluble fraction or Triton insoluble fraction was normalized to its own total protein fractions.
Statistical analysis
Statistical analyses were performed using SPSS 19.0 software (IBM, Armonk, IL, USA) and GraphPad Prism 5.0 software (GraphPad Software Inc., La Jolla, CA, USA). All data are presented as the mean ± SEM. Data of escape latency curve, LTP curve and input-output curve were analyzed with repeated-measures analysis of variance. For two comparisons, the data were analyzed with two-tailed Student’s t-tests. A value of P < 0.05 was considered statistically significant.
Results
Behavioral impairment in 5XFAD mouse models at 12–14 weeks of age
The hippocampus is considered to be susceptible to early AD-related pathological factors (Anand and Dhikav, 2012; Song et al., 2016). The Morris water maze test is a commonly used approach for evaluating hippocampus-dependent spatial learning and memory ability (Moser and Moser, 1999; Dong et al., 2013). Here, reversal training was performed following routine acquisition training in the Morris water maze when mice were 12 weeks old. In acquisition training, from day 1 to day 5, escape latency was not significantly different between 5XFAD and WT mice (Figure 1A and B). In reversal training, 5XFAD mice had a significantly longer escape latency than WT mice at day 8 (P = 0.028), although they exhibited comparable performance to WT mice at any of the other training days (Figure 1B). In the reversal learning probe trial, 5XFAD mice spent less time in the target quadrant than WT mice (P = 0.042; Figure 1C) when the mice were 14 weeks of age. This finding suggested that a reversal learning impairment in 5XFAD mice was initiated at 12–14 weeks of age.
Hippocampal LTP declines in 5XFAD mice aged 10 weeks
Since hippocampal synaptic function is necessary for Morris water maze learning and memory coding, investigating the timing of earlier synaptic functional decline may be valuable. The perforant pathway-dentate gyrus circuit was selected to determine hippocampal LTP expression. First, we examined LTP of 5XFAD mice and their littermates at 6 weeks of age. After applying 5XTBS to the perforant pathway, both the amplitude and slope of fEPSP recorded in the dentate gyrus in these two groups substantially increased over time (Figure 2A and E). Hippocampal synaptic plasticity occurs in multiple phases involving short-term and long-term changes in the synapse (Chakroborty et al., 2015). Changes of 0–2 minutes after theta-burst stimulation are thought to reflect post-tetanic potentiation associated with alterations in presynaptic neurotransmitter release properties (Fioravante and Regehr, 2011). The change of 15–20 minutes after theta-burst stimulation reflects early-LTP (E-LTP) attributed to the modification of pre-existing postsynaptic membrane proteins, particularly α-amino-3-hydroxy-5-methylisoxazole-4-propionic acid (AMPA) receptors (Gu et al., 2009; Davies et al., 1989). Changes in the last 10 minutes of LTP are considered late phase-LTP (L-LTP), and are dependent on gene transcription and new protein synthesis (Frey et al., 1993). Analysis of these three phases revealed no statistical difference in either amplitude (Figure 2B–D) or slope (Figure 2F–H) between the FAD and WT groups in three phases at 6 weeks old. These results indicated normal hippocampal synaptic function in 5XFAD mice at 6 weeks of age.
We next examined the LTP expression in 10-week-old mice. After 5XTBS, the fEPSP amplitude and slope of both groups increased over time. The increments of both amplitude and slope of fEPSP were slower in 5XAFD mice than WT controls (P = 0.035 for amplitude, P = 0.032 for slope) (Figure 3A and E). Normalized to baseline, the percentage of amplitude and slope values was lower in 5XFAD mice than WT controls in post-tetanic potentiation (P = 0.040 for amplitude, P = 0.046 for slope; Figure 3B and F), and the E-LTP phase (P = 0.029 for amplitude, P = 0.0253 for slope; Figure 3C and G). The current findings indicated that presynaptic neurotransmitter release properties and the modification of pre-existing proteins of postsynaptic membrane in 5XFAD mice at 10 weeks of age might be affected by AD-related pathological factors. Interestingly, there was no substantial difference in L-LTP phase between 5XFAD mice and WT mice (Figure 3D and H), although there was a tendency for a decreased slope in 5XFAD mice compared with WT mice (P = 0.077; Figure 3H). In general, hippocampal LTP declined in 5XFAD mice at 10 weeks old, at which time synaptic function might be recoverable, since there was no damage to the new protein synthesis associated with LTP expression.
Basal synaptic transmission is not altered in 5XFAD mice
To investigate whether the attenuation of hippocampal LTP of 5XFAD was induced by alteration of basal synaptic transmission, we recorded and analyzed the input-output curve of fEPSP, which represents basal synaptic transmission. We found no significant difference in fEPSP amplitude or slope in response to a series of stimulation intensities between the two groups at either 6 or 10 weeks old (Figure 4), suggesting that the function of hippocampal basal synaptic transmission was not impaired in 10-week-old 5XFAD mice. This result indicated that the attenuation of hippocampal LTP in 5XFAD mice could not be attributed to alteration of basal synaptic transmission. Moreover, these findings suggested that long-term synaptic strength was more susceptible to AD pathological context than basal synaptic function.
Distribution of postsynaptic glutamate receptor subunits GluA1 and NR1 at synapses is reduced in the hippocampus of 5XFAD mice
Considering the critical role of AMPA and N-methyl-D-aspartic acid (NMDA) receptors in LTP induction and expression (Nicoll, 2017), we explored the synaptic distribution of representative subunits (GluA1 for the AMPA receptor and NR1 for the NMDA receptor), in the hippocampus of 5XFAD mice at 10 weeks old. We did not find changes in the total protein level of GluA1 and NR1, while the synaptic location of both GluA2 and NR1 were altered in the hippocampus of 5XFAD mice compared with WT controls (Figure 5). For GluA1 location in the hippocampal synapses of 5XFAD mice at 10 weeks of age, we detected reduced Triton insoluble fraction and comparable Triton soluble fraction levels compared with WT controls (Figure 5A and B). However, for NR1 distribution, both Triton soluble fraction and Triton insoluble fraction levels were significantly decreased compared with WT controls (P = 0.017 for Triton soluble fraction, P = 0.045 for Triton insoluble fraction) (Figure 5A and C). These findings suggested that LTP impairment may be associated with postsynaptic delocalization of AMPA and NMDA receptors in the hippocampus of 5XFAD mice.
Aβ accumulates intracellularly in 5XFAD mice at 10 weeks of age
The massive production and aggregation of Aβ are specific pathological features of AD, and are a key phenotype of 5XFAD mouse model (Oakley et al., 2006; Oh et al., 2018). Our previous study revealed that extracellular Aβ-positive plaques appeared in the cortex and hippocampus of transgenic mice at 5 months of age (Wang et al., 2014). Here, Aβ immunostaining was detected when hippocampal synaptic plasticity began to decline at 10 weeks of age. As shown in Figure 6, Aβ-positive signals were undetectable in brain sections of WT mice and little extracellular Aβ accumulation occurred in the 5XFAD mouse brain. We observed substantial intracellular Aβ aggregation in hippocampal neurons, indicating that decline in hippocampal LTP and postsynaptic translocation of glutamate receptor subunits were independent of extracellular Aβ deposition, and might be induced by aberrant intracellular overproduction of neuronal Aβ in the AD brain.
Discussion
The mechanisms underlying AD are complex, and its precise pathogenesis remains unclear. The 5XFAD mouse model is a valuable and commonly used tool for tracking pathological changes, particularly the early events related to AD. Synaptic dysfunction plays a direct role in the occurrence of cognitive disorders, and is strongly associated with the onset of AD in the early pathophysiological processes of the disease (Olichney et al., 2011; Cukier et al., 2017). A previous study reported a significantly earlier synaptic impairment when only soluble Aβ or tau was present in 3xTg-AD mice (Baglietto-Vargas et al., 2018). Thus, evidence regarding the timing of the earliest stages of decline in synaptic function and the potential relationship between behavioral impairment, Aβ deposition and synaptic dysfunction could potentially be revealed with other commonly used AD transgenic models since earlier intervention strategies could ultimately benefit human AD (Lin et al., 2018). To the best of our knowledge, the current study is the first report of an early time point at which hippocampal LTP decline preceded hippocampus-dependent reversal learning and memory disability, accompanied by reduced synaptic distribution of glutamate receptor subunits, NR1 and GluA1 in the hippocampus. This finding may be associated with intracellular Aβ accumulation rather than extracellular Aβ deposition in the 5XFAD mouse model.
A previous study in our laboratory revealed that hippocampus-dependent spatial memory impairment in 5XFAD mice was initiated at 4.5 months of age, using the routine Morris water maze (Wang et al., 2014). This result is consistent with the finding that 5XFAD transgenic mice exhibited cognitive decline in the Y maze at 4 months old (Oakley et al., 2006). However, when 5-month-old model mice were treated with compound possessing β amyloid cleaving enzyme (BACE1), we did not observe an optimal effect, as observed in a parallel study with 3-month-old 5XFAD mice (Wang et al., 2014). These results suggest that an early window is available for studying AD pathogenesis and therapeutics. In the current study, we found cognitive impairment of 5XFAD mice at 12–14 weeks old, suggesting that the reversal learning test is more sensitive for detecting early hippocampus-dependent cognitive impairment than that routine Morris water maze protocol. Importantly, there is currently no evidence regarding the phenotype for this behavioral performance exhibited by the mouse model, prompting us to consider the time at which hippocampal synaptic transmission was functionally damaged.
As there is a long latent period before the onset of clinical symptoms of AD (Jack et al., 2018), synaptic dysfunction may occur at the asymptomatic stage of AD. As expected, hippocampal LTP in 10-week-old 5XFAD mice was suppressed compared with WT mice. Importantly, during the whole LTP stage, post-tetanic potentiation and E-LTP were damaged, while the last 10 minutes of LTP was intact in terms of both amplitude and slope of LTP compared with WT mice, implying that a compensatory mechanism is involved in memory coding of AD transgenic mice. This hypothesis may provide a reasonable explanation of why deficits in cognitive performance were only detectable using a much more difficult task in 5XFAD mice at this early stage of AD. This compensatory hypothesis was supported by findings of unchanged basal synaptic transmission, and our previous finding that theta-burst stimulation failed to induce LTP in the dentate gyrus of 6-month-old 5XFAD mice (Zhen et al., 2017).
Our current findings suggest that LTP decline in the early stages of AD is likely to be caused by attenuated presynaptic plasticity or reduced existing post synaptic membrane receptors, including the AMPA receptors and NMDA receptors (Gu et al., 2015) involved in LTP induction and expression (Davies et al., 1989; Frey et al., 1993; Fioravante and Regehr, 2011; Chakroborty et al., 2015). As expected, synaptic distribution of the AMPA receptor subunit, GluA1, and NMDA receptor subunit, NR1 in the 5XFAD hippocampus declined, while the total protein levels of these subunits remained similar in WT controls. Nevertheless, the possible molecular mechanisms underlying delocalization of postsynaptic glutamate receptors in the context of AD require in-depth exploration.
Although extracellular Aβ deposition has attracted much research attention in the past several decades, there are currently few available therapies targeting Aβ aggregation (Selkoe and Hardy, 2016). Thus, identifying events occurring before inexorable Aβ cascade and loss of neural network function could have far-reaching therapeutic implications. Indeed, intracellular Aβ accumulation has been reported in the brains of AD patients and animal models in the early stage (Gouras et al., 2000; Oakley et al., 2006; LaFerla et al., 2007). Our observation of intracellularly accumulated Aβ in the hippocampus of 5XFAD mice was consistent with these findings, indicating that intracellular overproduction of Aβ could trigger synaptic dysfunction, subsequently inducing cognitive impairment in the early stages of AD. Although our findings and observations using other types of AD model, such as 3xTg mice (Billings et al., 2005; Yamamoto et al., 2013), suggest a general chain of evidence in the early stages of the pathological process of AD, additional evidence requires validation in other AD animal models, and in AD patients.
Taken together, the current findings may provide an important clue toward the understanding of an early sequential pathological event in AD. In addition, our results provide a referable time point for studying mechanisms and therapies of AD using 5XFAD mouse models.
Additional file: Open peer review report 1 (93.9KB, pdf) .
Acknowledgments
We thank Hua Li and Hua Wei from Capital Medical University, China, for their technical support.
Footnotes
Conflicts of interest: The authors declare that there are no conflicts of interest associated with this manuscript.
Financial support: This study was supported by the National Natural Science Foundation of China, No. 81571038, 81771145 (both to YZ). The funding sources had no role in study conception and design, data analysis or interpretation, paper writing or deciding to submit this paper for publication.
Institutional review board statement: The use and care of animals were in strict accordance with ethical standards of the Animal Ethics Committee of Capital Medical University of China on December 17, 2015 (approval No. AEEI-2015-182). All experimental procedures described here were in accordance with the National Institutes of Health (NIH) guidelines for the Care and Use of Laboratory Animals.
Copyright license agreement: The Copyright License Agreement has been signed by all authors before publication.
Data sharing statement: Datasets analyzed during the current study are available from the corresponding author on reasonable request.
Plagiarism check: Checked twice by iThenticate.
Peer review: Externally peer reviewed.
Open peer reviewer: Vasily Vorobyov, Russian Academy of Sciences, Institute of Cell Biophysics, Russia.
Funding: This study was supported by the National Natural Science Foundation of China, No. 81571038 , 81771145 (both to YZ).
P-Reviewer: Vorobyov V; C-Editor: Zhao M; S-Editors: Wang J, Li CH; L-Editors: Knight B, Robens J, Qiu Y, Song LP; T-Editor: Liu XL
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