Ginsenoside Rg1 Ameliorates Behavioral Abnormalities and Modulates the Hippocampal Proteomic Change in Triple Transgenic Mice of Alzheimer’s Disease

Nie, Lulin; Xia, Junxia; Li, Honglian; Zhang, Zaijun; Yang, Ying; Huang, Xinfeng; He, Zhendan; Liu, Jianjun; Yang, Xifei

doi:https://doi.org/10.1155/2017/6473506

Oxidative Medicine and Cellular Longevity

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Research Article | Open Access

Volume 2017 | Article ID 6473506 | https://doi.org/10.1155/2017/6473506

Ginsenoside Rg1 Ameliorates Behavioral Abnormalities and Modulates the Hippocampal Proteomic Change in Triple Transgenic Mice of Alzheimer’s Disease

Lulin Nie,¹Junxia Xia,²Honglian Li,³Zaijun Zhang,⁴Ying Yang,⁵Xinfeng Huang,¹Zhendan He,⁶Jianjun Liu,¹and Xifei Yang¹

Academic Editor: Juan M. Zolezzi

Received15 May 2017

Revised07 Aug 2017

Accepted24 Aug 2017

Published24 Oct 2017

Abstract

Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases, so far, there are no effective measures to prevent and cure this deadly condition. Ginsenoside Rg1 (Rg1) was shown to improve behavioral abnormalities in AD; however, the potential mechanisms remain unclear. In this study, we pretreated 7-month-old 3xTg-AD mice for 6 weeks with Rg1 and evaluated the effects of Rg1 on the behaviors and the protein expression of hippocampal tissues. The behavioral tests showed that Rg1 could improve the memory impairment and ameliorate the depression-like behaviors of 3xTg-AD mice. Proteomic results revealed a total of 28 differentially expressed hippocampal proteins between Rg1-treated and nontreated 3xTg-AD mice. Among these proteins, complexin-2 (CPLX2), synapsin-2 (SYN2), and synaptosomal-associated protein 25 (SNP25) were significantly downregulated in the hippocampus of 3xTg-AD mice compared with the WT mice, and the treatment of Rg1 modulated the expression of CPLX2 and SNP25 in the hippocampus of 3xTg-AD mice. The expression of CPLX2, SYN2, and SNP25 was further validated by Western blot analysis. Taken together, we concluded that Rg1 could be a potential candidate drug to improve the behavioral deficits in AD via modulating the expression of the proteins (i.e., CPLX2, SYN2, and SNP25).

1. Introduction

Alzheimer’s disease (AD) is an irreversible degenerative disease with brain dysfunction occurring among aged people, which is the main cause of dementia and affects 60%–65% of the world population [1, 2]. According to the World Alzheimer Report 2016, the number of the patients with dementia is rapidly increasing due to aging. The report showed that there were 46.8 million people worldwide living with dementia in 2015 and this number will reach 131.5 million in 2050 [3]. Therefore, urgent effective treatment strategies against AD are desired.

The distinctive histopathological hallmarks of AD are extracellular senile plaques consisted of β-amyloid (Aβ) peptides, intracellular neurofibrillary tangles, neuronal loss, and synapse injury in some vulnerable regions such as the hippocampus [4–6]. In addition to cognitive impairment, neuropsychiatric symptoms such as depression-like behavior were prevalent in AD cases [7–10]. Although great advances have been achieved in the etiology of AD, the mechanisms of neurodegenerative disease remain largely unclear.

Ginsenoside Rg1, a pharmacological active component purified from the natural product ginseng, could cross the blood-brain barrier (BBB) and had a positive effect on the brain [11]. Several studies revealed the neuroprotective properties of Rg1 in neurodegenerative diseases such as AD [12, 13]. Rg1 could ameliorate cognitive impairment in the mouse model of AD, improve the learning and memory abilities [14, 15], decrease the levels of cerebral Aβ [16], maintain hippocampal neuron activity [17], and prevent cellular apoptosis induced by Aβ accumulation [18]. On the other hand, Rg1 also could protect against brain aging by enhancing the scavenging of free radicals in the brain [19]. However, the mechanisms underlying the protective effects of Rg1 against the behavioral abnormality and pathological changes are poorly understood.

In this study, we explored the effects of Rg1 treatment on memory and depression-like behaviors of 3xTg-AD mice and hippocampal proteome. It was worth mentioning that 3xTg-AD mice displayed obvious memory impairment and anxiety and depression-like behavior [20, 21]. By using two-dimensional fluorescence differential gel electrophoresis (2D-DIGE) with mass spectrometry, we identified the differentially expressed proteins in the hippocampus of triple transgenic mice of AD (3xTg-AD) with or without administration of Rg1 and revealed the potential key molecules that may be involved in memory deficit and depression-like behaviors in AD.

2. Material and Methods

2.1. Materials

Ginsenoside Rg1 was provided by Prof. Zhendan He, College of Life Sciences, Shenzhen University. The ginsenoside Rg1 was dissolved in saline and administered by intraperitoneal injection.

2.2. Animals and Treatment

The mice were purchased from Jackson Laboratory. In this study, we selected 7-month-old female 3xTg-AD mice harboring PS1_M146V, APP_Swe, and Tau_P301L transgenes (strain: B6; 129-Psen1^tm1Mpm Tg [APPSwe, tauP301L] 1Lfa/Mmjax) and WT (strain: B6129SF2/J) mice. The 7-month 3xTg-AD mice were treated with Rg1 (20 mg/kg body weight) by intraperitoneal injection for 6 weeks [22]. In parallel, nontreated 3xTg-AD mice and WT mice were injected with saline. All animal experiments and procedures were approved by Shenzhen Center for Disease Control and Prevention. All efforts were made to minimize animal suffering and reduce the number of mice used.

2.3. Behavioral Evaluation

All the behavior tests were conducted in a quiet room, the experimental mice were transferred to the behavioral room 2 h before the assessment. In this study, the anxiety behavior of mice was tested by the open field test and the elevated plus maze test, the depression behavior of mice was tested by the tail suspension test, and the learning and memory ability of mice was measured by the Morris water maze test. The interval between tests was two days.

2.3.1. Open Field Test

The open field test was performed as previously described by Prut and Belzung [23]. The apparatus consisted of a brightly illuminated (120 lux) square arena of about 0.5 m width closed by a wall 0.45 m high. The whole arena was divided into 16 square areas (12.5 cm × 12.5 cm). “Center” was consisted of four small squares of the center, and “corner” was made up of other squares. The camera was installed above the center of the device. Experimental mice were placed in the “center” and allowed to move freely in 5 min. The degree of anxiety was assessed based on the activity time and distance of the mice in the center. The apparatus was cleaned with 75% ethanol solution between tests.

2.3.2. Elevated Plus Maze Test

The elevated plus maze test was performed as previously described by Belzung and Griebel [24]. It consisted of a cross of two closed arms (50 × 10 cm) and two open arms (50 × 10 cm). The mice were placed in the center and allowed to explore the maze for 5 min. The lesser time and distance of the animals entering into open arms suggested that they were more anxious.

2.3.3. Tail Suspension Test

The tail suspension test was performed as previously described by Steru et al. [25]. Each mouse was suspended 50 cm above the floor for 5 min by sticking its tail. The mice were considered immobile only when they were fully motionless. In this study, the degree of depression was measured by the immobility ratio of mice.

2.3.4. Morris Water Maze Test

Morris water maze was performed as previously described by Deng-Bryant et al. [26]. It was used to evaluate spatial learning and memory of the mice. The water maze consisted of a circular pool (1.7 m in diameter) filled with milk (0.3 m in depth, 22°C) and a circular white escape platform (0.1 m in diameter) submerged 2 cm below the surface of the water. The water maze was subdivided into four quadrants (I–IV), the four quadrants were marked with triangular, circular, cross, and square, respectively. All the mice were trained for 5 consecutive days (4 trials /day) and the platform was in a fixed position. In the training stage, each mouse was given 60 s time to explore the platform, if the mice cannot find the platform within 60 s, the experimenter led the mice to stay on the platform 15 s. The latency of each mice was recorded. After 1 week, the mice were detected for 120 s without the platform in the pool. The swimming path was recorded by using the video tracking system.

2.4. Sample Preparation

The experimental mice were sacrificed after the behavioral tests. The bilateral hippocampus of mice was dissected on ice, and all samples were stored in −80°C. Samples were ultrasounded (3 s on, 5 s off for 3 min) in lysis buffer (7 M urea, 2), then the samples were centrifuged at 4°C, 12000 for 1 h. The protein solution discarded salts and impurities by ultrafiltration. The protein concentration was measured with 2-D Quant Kit (GE Healthcare, USA). The samples (pH = 8.5) were diluted to 5 μg/μL according to the protein quantification. All samples were stored in −80°C.

2.5. DIGE Labeling of Protein Samples

The DIGE labeling of protein samples was performed as previously by Iadevaia et al. [27]. Each CyDye dye was dissolved in 99.8% anhydrous N,N-dimethylformamide (DMF, Sigma 227056) to a final dye concentration of 1 nmol/μL as stock solution. The stock solution was diluted with DMF to 200 pmol/μL of working solution. The protein of differential group was treated with 200 pmol Cy3 (GE Healthcare, 25-8008-61) or Cy5 (GE Healthcare, 25-8008-62) dye markers for comparison on the same gel, and the internal standard was labeled with Cy2 (GE Healthcare, 25-8008-62). In brief, 25 μg of each protein sample was labeled with 200 pmol CyDyes on ice in the dark for 30 min and then quenched with 10 mmol lysine (Sigma, L5626) for 10 min. Then, the Cy5-, Cy3-, and Cy2-labeled samples were mixed together, and each mixture was added with an equal volume of 2× lysis buffer (8 M urea, 2% CHAPS, 0.2% DTT, 2% (v/v) IPG buffer, pH 3–11 nonlinear, 0.002% bromophenol blue) and incubated on ice for 10 min. The total volume of the sample was diluted to 450 μL by adding hydration buffer.

2.6. Isoelectric Focusing and SDS-PAGE

The first-dimension isoelectric focusing (IEF) was performed using the Ettan IPGphor IEF system (GE Healthcare, USA). A total of 75 μg of each labeled samples was applied on a 24 cm pH 3–11 NL Immobilized DryStrip (GE Healthcare). IEF was performed using the following conditions: 18 h at 50 V, 12 h at 300 V, 2 h at 500 V, 2 h at 1000 V, and 8 h at 8000 V. Each time, four or six IPG strips were run in parallel. After the first-dimension IEF, each strip was equilibrated for 15 min in the reducing equilibration buffer (6 mol/L urea, 30% (v/v) glycerol, 75 mmol/L Tris-HCl buffer (pH 8.8), 2% (w/v) SDS, and 1% (w/v) DTT) at room temperature. Subsequently, each strip was re-equilibrated in the similar buffer containing 4.5% iodoacetamide (IAA) instead of DTT for 15 min. After the equilibration, each equilibrated strip was loaded on the top of 12.5% SDS-PAGE gels (25 mM Tris, 192 mM glycine, 0.1% SDS, 0.02% bromophenol blue, 0.5% (w/v) agarose) for the second dimension. Gels were run in Ettan DALTsix Electrophoresis System (GE Healthcare), and the electrophoresis was conducted under the following conditions: 1 W/gel for 1 h and 10 W/gel for 5 h in the dark at 12°C. Gels were immediately scanned using a Typhoon Trio Variable Mode Imager (GE Healthcare).

2.7. Image Analysis

Gel images were visualized by the Image Quant TL software. Differential proteins were analyzed using DeCyder TM 2D software (version 6.5 GE Healthcare) Differential In-gel Analysis (DIA) and Biological Variance Analysis (BVA) modules. The fluorescent intensity of each protein spot was determined in the Cy3 or Cy5 channels and then normalized according to the corresponding fluorescent intensity of Cy2 spot. The normalized volume of a spot was compared across the gels between the replicate groups. The differential protein spots with significant difference () were further analyzed.

2.8. In-Gel Digestion

A total of 1200 μg of hippocampal protein was used to run 2-DE using the identical conditions as above. The gel was stained with Coomassie Brilliant Blue solution for 12 h, then the gel was washed many times until the protein spots were visible. The differential protein spots with significant difference () were manually excised from Coomassie blue staining gel. Subsequently, the protein spots were washed with deionized water and destained with 25 mmol/L NaHCO₃ solution (50% ACN, 50% H₂O) for 1 h at 37°C. The spots were swollen and digested in a trypsin buffer (Promega Corp., WI, USA) for 12 h at 37°C. Then, peptides were analyzed by MALDI-TOF-MS/MS.

2.9. Mass Spectrometry and Database Searching

Protein identification was analyzed by MALDI-TOF-MS/MS (AB SCIEX MALDI-TOF/TOF 5800 mass spectrometer). For the MADL-TOF-MS, 0.6 μL of each sample peptide extraction was spotted on a stainless steel target and dried at room temperature, then each spot was crystallized with 1 μL 50% acetonitrile (ACN) and 0.1% trifluoroacetic acid (TFA) containing 10 mg/mL α-cyano-4-hydroxycinnamic acid (CHCA) and dried at room temperature. After the spectra were manually calibrated, database searching was carried out by MASCOT based on the SwissProt databases in Mus musculus. The search was performed with a tolerance on mass measurement of 100 ppm in MS mode and 0.5 Da in MS/MS mode. Protein pI and MW information were recorded to evaluate the identification of protein spots.

2.10. Gene Annotation

The Panther Bioinformatics Resource was used to carry out gene ontology annotation enrichment analysis. Panther analysis enabled the enrichment of biological process, molecular function, cellular components, and protein class (http://www.pantherdb.org/).

2.11. Western Blot Analysis

Hippocampal proteins from 3xTg-AD mice, 3xTg-AD-Rg1 mice, and WT mice were ultrasounded in 400 μL lysis buffer (Beyotime, China) and 4 μL protease and phosphatase inhibitor cocktail (Thermo Scientific, USA) on the ice, and then, the protein samples were centrifuged and collected. The protein concentration was measured with BCA protein assay kit (Thermo Scientific, USA). Each protein sample was added with loading buffer and heat for 7 min at 100. Protein samples were separated on 10% PAGE gels with 5% stacking gels and transferred to PVDF membranes. The membrane was soaked in TBST buffer containing 5% milk at room temperature for 2 hours. Subsequently, membranes were incubated with anti-SYN2 (rabbit polyclonal antibody, 1 : 3000), anti-SNP25 (rabbit polyclonal antibody, 1 : 3000), anti-complex 2 (rabbit polyclonal antibody, 1 : 3000), anti-PSD-95 (rabbit monoclonal antibody, 1 : 3000), and anti-β-actin (mouse monoclonal antibody, 1 : 3000) in TBST buffer for 1.5 h at room temperature. After washing with TBST three times, the membrane was incubated with homologous secondary antibody (anti-rabbit or anti-mouse IgG HRPs) in TBST buffer for 60 min. After repeatedly washing with TBST buffer, the membranes were developed using chemiluminescence reagents from an ECL kit (Pierce) and detected on a phosphorimager. The image of the membranes was analyzed by ImageQuant 1D software.

2.12. Statistical Analysis

Data were expressed as the mean ± SD and analyzed by using SPSS 19.0 statistical software (SPSS Inc., Chicago, Illinois, USA). The different means among the groups were evaluated by one-way ANOVA. For all the one-way ANOVA, post hoc tests were performed using LSD test. The level of significance was set at .

3. Results

3.1. Anti-Anxiety-Like Effects of Rg1 in 3xTg-AD Mice

The anti-anxiety-like activity of Rg1 was assessed by the open field test and the elevated plus maze test. The open field test data were summarized in Figure 1. The data showed no significant differences in the total distance traveled among the three groups (Figure 1(a)), while the nontreated 3xTg-AD mice showed significantly decreased percentage of time () and distance () in the center compared with the WT mice (Figures 1(b) and 1(c)). Rg1-treated 3xTg-AD mice showed an upward trend of the time spent and the distance traveled in the center compared with the nontreated 3xTg-AD mice (Figures 1(b) and 1(c)). The elevated plus maze test data are summarized in Figure 2. Compared with the WT mice, the percentage of time spent (; Figure 2(a)) and the percentage of the distance traveled (; Figure 2(b)) in open arms, the number of entries into the open arms (; Figure 2(c)), and the percentage of open arm entries (; Figure 2(d)) also were significantly decreased in the nontreated 3xTg-AD mice. Increased trend of both the percentage of distance (Figure 2(b)) and the entry frequency (Figure 2(d)) in open arms was observed after the treatment with Rg1 in 3xTg-AD mice. No differences were observed in the percentage of time in open arms (Figure 2(a)) and the number of entries into the open arms (Figure 2(c)) after the treatment with Rg1 in 3xTg-AD mice. These data suggested a mildly protective effect of Rg1 treatment against the anxiety-like behavior of 3xTg-AD mice.

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3.2. Anti-Depression-Like Effects of Rg1 in 3xTg-AD Mice

The depression-like behaviors of the mice were assessed by the forced swimming test, as depicted in Figure 3. Compared with the WT mice, the 3xTg-AD mice had a longer duration of immobility (), while the duration of immobility was significantly decreased after the treatment of Rg1 (). These data indicated that Rg1 could significantly alleviate depression-like behavior of 3xTg-AD mice.

3.3. Improved Spatial Learning and Memory of 3xTg-AD Mice by Rg1 Treatment

The learning and memory ability of mice was measured by the Morris water maze test, as depicted in Figure 4. The total distance traveled (Figure 4(b)) and the average speed (Figure 4(c)) were not significantly different among the three groups, suggesting that the motor function of the experimental mice was not impaired. In the training period, the 3xTg-AD mice spent longer time reaching the platform on the last four days compared to the WT mice (Figure 4(a)). Rg1-treated 3xTg-AD mice displayed reduced escape latency compared to the 3xTg-AD mice (Figure 4(a)). These data indicated that Rg1 treatment improved the learning ability of AD transgenic mice. In the probe period, the platform crossing number of 3xTg-AD mice was significantly lower than the WT mice (; Figure 4(d)), while the probe time of 3xTg-AD mice was significantly higher than the WT mice (; Figure 4(e)). The percentage of distance traveled (; Figure 4(g)) and the percentage of time spent (; Figure 4(h)) in the target quadrant of 3xTg-AD mice were significantly decreased compared to the WT mice. Compared with the nontreated 3xTg-AD mice, the crossing number (; Figure 4(d)), the percentage of distance traveled (; Figure 4(g)), and the percentage of time spent (; Figure 4(h)) in the target quadrant were significantly increased, and the probe time was significantly decreased in 3xTg-AD mice after the treatment of Rg1. The representative movement tracks of three groups were shown in Figure 4(f). These data demonstrated that Rg1 treatment could improve the spatial learning and memory ability of 3xTg-AD mice.

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3.4. Differentially Expressed Hippocampal Proteins among the WT Mice, Nontreated 3xTg-AD Mice, and Rg1-Treated 3xTg-AD Mice

To identify the potential molecules involved in the neuroprotection of Rg1, comparative proteomic analysis was performed on the hippocampal samples from the WT mice and 3xTg-AD mice with or without Rg1 treatment. Representative 2D-DIGE gel images of hippocampal proteins isolated from the three groups of mice were shown in Figures 5(a), 5(b), 5(c), and 5(d) and Figures 6(a), 6(b), 6(c), and 6(d). Spots with a fold change of 1.2 or greater and a value ≤ 0.05 were recommended as differentially expressed protein spots. A total of 75 differentially expressed protein spots were annotated in the form of protein ID and identified with MS (Figures 5(e) and 6(e)). The mascot scores, protein names, theoretical molecular weight, p values, and fold-change levels of these differentially expressed proteins were displayed in Tables 1 and 2.

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Figure 5

A representative 2D-DIGE gel image of hippocampal proteins from the WT mice and nontreated 3xTg-AD mice. Hippocampal proteins from the WT mice and nontreated 3xTg-AD mice were labeled with Cy3 or Cy5 dye, respectively ( for each group). An internal standard protein sample (a mixture of all hippocampus samples) was labeled with the Cy2 dye. The CyDye-labeled samples were combined, and the proteins were coseparated in the first dimension via IEF in 24 cm pH 3–11 nonlinear IPG strips, followed by separation in the second dimension via SDS-PAGE. Spots of interest were manually excised, digested, and subjected to identification by MALDI-TOF-MS/MS. (a) Cy2-labeled proteins as internal standards. (b) Cy3-labeled hippocampus proteins of WT mice. (c) Cy5-labeled hippocampus proteins of nontreated 3xTg-AD mice. (d) The merged image showing Cy2-, Cy3-, and Cy5-labeled proteins. (e) Greyscale 2D-DIGE gel image showing 47 differentially expressed protein spots identified by MALDI-TOF-MS/MS (black numbers with white square) in the hippocampus of nontreated 3xTg-AD mice compared with WT mice.

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Figure 6

A representative 2D-DIGE gel image of hippocampal proteins from 3xTg-AD mice with or without Rg1 treatment. Hippocampal proteins from nontreated 3xTg-AD mice and Rg1-treated 3xTg-AD mice were labeled with Cy3 or Cy5 dye, respectively ( for each group). An internal standard protein sample (a mixture of all hippocampus samples) was labeled with the Cy2 dye. The CyDye-labeled samples were combined, and the proteins were coseparated in the first dimension via IEF in 24 cm pH 3–11 nonlinear IPG strips, followed by separation in the second dimension via SDS-PAGE. Spots of interest were manually excised, digested, and subjected to identification by MALDI-TOF-MS/MS. (a) Cy2-labeled proteins as internal standards. (b) Cy3-labeled hippocampus proteins of nontreated 3xTg-AD mice. (c) Cy5-labeled hippocampus proteins of melatonin-treated 3xTg-AD mice. (d) The merged image showing Cy2-, Cy3-, and Cy5-labeled proteins. (e) Greyscale 2D-DIGE gel image showing 28 differentially expressed protein spots identified by MALDI-TOF-MS/MS (black numbers with white square) in the hippocampus of Rg1-treated 3xTg-AD mice compared with nontreated 3xTg-AD mice.

3.5. Identification of Differentially Expressed Hippocampal Proteins between WT and 3xTg-AD Mice

As depicted in Table 1, a total of 47 differentially expressed proteins were identified with MS between 3xTg-AD mice and the WT mice. These differentially expressed proteins were highly correlated with synaptic transmission, glycolytic process, response to stress, and negative regulation of apoptotic process. 10.6% of the differentially expressed proteins was related to synaptic transmission and 14.9% of the proteins was involved in glycolytic process. 17% of the proteins was involved in response to stress, and 6.4% of the proteins participated in the regulation of apoptotic process. Among these proteins, a total of 27 proteins, including memory-related proteins such as synaptosomal-associated protein 25 (SNP25), synapsin-2 (SYN2), and complexin-2 (CPLX2), in 3xTg-AD mice compared with WT mice were significantly downregulated, while a total of 20 proteins were significantly upregulated.

3.6. The Effect of Rg1 Treatment on the Protein Expression in Hippocampus of 3xTg-AD Mice

As depicted in Table 2, a total of 28 differentially expressed proteins were identified with MS between Rg1-treated 3xTg-AD mice and nontreated 3xTg-AD mice. Among these differentially expressed proteins, 14.3% of the proteins was related to synaptic transmission and 10.7% of the proteins was involved in glycolytic process. 21.4% of the proteins was involved in response to stress, and 10.7% of the proteins participated in the regulation of apoptotic process. A total of 16 proteins were downregulated in 3xTg-AD mice after the treatment of Rg1, and a total of 12 proteins were upregulated. Furthermore, we found that Rg1 treatment was able to modulate the expression of multiple synaptic proteins such as SNP25 and CPLX2.

3.7. Enrichment Analysis of the Differentially Expressed Protein

To investigate the biological function of the identified hippocampal proteins, we carried out Gene Ontology (GO) annotation search using the Mus musculus databases (http://www.pantherdb.org/). GO annotations were available for the 75 identified proteins included repeats, and the 61 proteins were grouped according to their molecular function, biological processes, cellular component, and protein class (Figures 7(a), 7(b), 7(c), and 7(d)). Molecular functions of the identified proteins mainly involved catalytic activity (45.1%), binding (27.5%), transporter activity (9.8%), and structural molecule activity (9.8%). Biological process of the identified proteins mainly involved cellular process (31.2%), metabolic process (23.4%), cellular component organization or biogenesis (11.7%), and localization (10.4%). Cellular component of the identified proteins included cellular part (53.1%), organelles (25%), and macromolecular complex (15.6%). Protein class of the identified proteins mainly involved cytoskeletal protein (17.3%), hydrolase (17.3%), and lyase (9.6%).

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3.8. Validation of Differentially Expressed Proteins by Western Blot Analysis

To confirm the data obtained by 2D-DIGE, Western blot analysis was performed. Three synaptic proteins, CPLX2, SYN2, and SNP25, were selected for further validation. As depicted in Figure 8, in accordance with the results from 2D-DIGE, the expression of CPLX2, SYN2, and SNP25 was significantly downregulated in 3xTg-AD mice relative to the WT mice, while the expression of these proteins was modulated by the treatment of Rg1. Besides, we also determine the expression of PSD-95 in the hippocampus of 3xTg-AD mice. The data showed that the expression of PSD-95 was significantly decreased in 3xTg-AD mice compared with the WT mice (), while the expression of this protein was significantly increased after the treatment of Rg1 ().

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Figure 8

Validation of differentially expressed proteins of CPLX2, SNP25, and SYN2 by Western blot analysis. (a and b) The relative levels of CPLX2 in the hippocampus in WT mice, nontreated 3xTg-AD mice, and Rg1-treated 3xTg-AD mice. (a and c) The relative levels of SNP25 in the hippocampus in WT mice, nontreated 3xTg-AD mice, and Rg1-treated 3xTg-AD mice. (a and d) The relative levels of SYN2 in the hippocampus in WT mice, nontreated 3xTg-AD mice, and Rg1-treated 3xTg-AD mice. (a and e) The relative levels of PSD-95 in the hippocampus in WT mice, nontreated 3xTg-AD mice, and Rg1-treated 3xTg-AD mice. The data were presented as mean ± SEM. and versus WT; ^# and ^## versus 3Tg. for each group.

4. Discussion

In the present study, we first employed a proteomic approach to investigate the protective effects of Rg1 in 3xTg-AD mice. The 3xTg-AD mice exhibited neurodegenerative changes associated with Aβ and tau deposition that were similar to those observed in patients with AD [28]. Thus, the 3xTg-AD mouse model is a reliable animal model for studies of AD prevention and treatment. Besides, 3xTg-AD mice also displayed obviously synaptic deficit upregulating ryanodine receptor activity which was associated with the symptoms of depression [29]. Overall, 3xTg-AD mice could show the symptom of memory deficit and depression-like behavior.

Additionally, several studies have shown that Rg1 could inhibit morphine-induced spatial memory deficit in both freely moving and anaesthetized rats [30] and produced antidepressant effects via activation of the BDNF signaling pathway upregulating neurogenesis in the hippocampus of mice [31]. Importantly, BDNF, a neurotrophin, plays important roles in protecting and regulating the structure and function of neurons throughout life [32]. Recent studies reported that ginsenoside Rg1 ameliorated hippocampal long-term potentiation and promoted memory [33, 34]. Moreover, Shi et al. also found that Rg1 improved the spatial learning and memory via promoting nonamyloidgenic cleavage of APP, which activated estrogen receptor signaling to MAPK/ERK and PI3K/Akt [35]. Besides, Yang et al. found that long-term Rg1 supplementation improved age-related cognitive decline by promoting synaptic plasticity-associated protein expression, including synaptophysin, N-methyl-D-aspartate receptor subunit 1, postsynaptic density-95, and calcium/calmodulin-dependent protein kinase II alpha [36]. Consistently, we also found that Rg1 upregulated the expression of synaptic proteins such as SYN1, PSD-95, and SNP25 in the hippocampus of 3xTg-AD mice. Therefore, our data demonstrated that the memory impairment and depression-like behavior were ameliorated by the treatment of Rg1, suggesting the protective effects of Rg1 against AD. In addition, we successfully identified 28 proteins in the hippocampus that were differentially expressed in 3xTg-AD mice with or without Rg1 treatment by proteomic analysis.

The behavioral tests, that is, the open field test, the elevated plus maze test, the tail suspension test, and the Morris water maze test, were used to evaluate the anxiety and depression-like behaviors and memory impairment in 3xTg-AD mice. Namely, the open field test and the elevated plus maze were used to explore the anxiety behavior in 3xTg-AD mice, the tail suspension test was used to explore the depression-like behavior in 3xTg-AD mice, and Morris water maze test was used to determine the memory impairment in 3xTg-AD mice. Our data demonstrated that Rg1 treatment could improve depression-like behavior and memory impairment of the 3xTg-AD mice, but its effect on anxiety-like behavior was not obvious, which were consistent with the previous data showing that Rg1 treatment did not produce significant effects on anxiety-like behavior in APP/V7171 transgenic mice bearing the “London” mutant of APP [37, 38], which displayed obvious cognitive impairment and neuroinflammation associated with pathological features of AD. Furthermore, Rg1 was shown to repair hippocampal long-term potentiation (LTP) and improved memory impairment in APP/PS1 mice, likely through facilitating the clearance of AD-associated proteins and activating the BDNF-TrkB pathway [39]. In addition, Rg1 exhibited anti-depressant-like effects in multiple depression-like models [40, 41]. These data collectively demonstrated that Rg1 exerted the neuroprotective effects against memory impairment and depression-like behavior in AD.

Here, the 2D-DIGE technology by using a mixed sample internal standard was applied to identify proteins with distinct molecular functions which could provide a better insight into the underlying molecular mechanisms involved in the neuroprotection of AD of Rg1 treatment. In our study, the proteomic analysis showed that Rg1 treatment altered the expression of hippocampal proteins in 3xTg-AD mice. According to the molecular functions and biological processes, these differentially expressed proteins were mainly involved in synaptic transmission, glycolytic process, response to stress, and regulation of apoptotic process. In the following sections, we focused on the discussion of those differentially expressed proteins associated with memory and depression.

4.1. Differentially Expressed Proteins in 3xTg-AD Mice Compared to WT Mice

SYN2, a synaptic vesicle protein, played an important role in neurotransmitter release [42]. The expression of SYN2 was significantly decreased in AD patients [43]. Besides, several studies showed that SYN2 knockout mice displayed obvious cognitive impairment. In combination with our data that the expression of SYN2 was significantly downregulated in 3xTg-AD mice compared with the WT mice, these data indicated an involvement of SYN2 in the regulation of brain functions [44–46]. Though the SYN2 protein was not screened in 3xTg-AD mice with or without Rg1 treatment, the results of Western blot showed that Rg1 treatment significantly altered the expression of SYN2 in 3xTg-AD mice. Thus, it is suggested that Rg1 may exert the protective effects against memory impairment via upregulating the expression of SYN2 in the hippocampus of 3xTg-AD mice.

4.2. Differentially Expressed Proteins in 3xTg-AD Mice with or without Rg1 Treatment

SNP25, an important marker of functional synapses, was one of the major proteins involved in the formation of neural soluble N-ethylmaleimide-sensitive factor attachment protein receptor (SNARE) complex [47]. The SNARE complex had a pivotal effect on the central nervous system and was also essential for learning and memory formation [48]. Studies showed that the expression of SNP25 was significantly downregulated in AD brains [49, 50]. In addition, SNP25 expression change was also observed in other forms of dementia, such as vascular and frontotemporal dementia [51, 52]. SNP25 played a vital role in spatial memory ability via regulating glutamate-dependent excitatory transmission [53, 54]. In this study, we found that the expression of SNP25 was significantly decreased in the hippocampus of 3xTg-AD mice compared with the WT mice, while Rg1 treatment could significantly modulate the expression of this protein and alleviate memory impairment of 3xTg-AD mice, suggesting an involvement of SNP25 in memory impairment of 3xTg-AD mice as observed and the protective effects of Rg1 on memory.

CPLX2 was a protein modulator of neurotransmitter release that was downregulated in patients suffering from depression [55]. As a cytosolic protein, a significant change of CPLX2 expression was observed in multiple neurological disorders such as depression [56, 57]. Besides, CPLX-2 knockout mice displayed cognitive disorder [58] and selective impairment in long-term potentiation (LTP) [59]. In our study, we found that the expression of CPLX2 was significantly decreased in 3xTg-AD mice compared with the WT mice and modulated by the treatment of Rg1, suggesting an involvement of CPLX2 in behavioral impairment of 3xTg-AD mice and the protective effects of Rg1 on memory and depression.

4.3. Summary

As displayed in Figure 9, our current data demonstrated that Rg1 could improve memory impairment and depression-like behavior of 3xTg-AD mice and modulate the expression of multiple proteins in the hippocampus. According to the biological function, these differentially expressed proteins were classified into the following 5 categories: synaptic transmission-related proteins, glycolytic process-related proteins, response to stress-related proteins, apoptotic process-related proteins, and other proteins. Importantly, CPLX2, a depression- and memory-related protein, and SYN2 and SNP25, two memory-related proteins, were significantly downregulated in the hippocampus of 3xTg-AD mice, while the expression of these proteins was significantly modulated by the treatment of Rg1 treatment. These data suggested that Rg1 could be used as a potential candidate drug to improve the behavioral deficits in AD via modulating the expression of the proteins (i.e., CPLX2, SYN2, and SNP25) involved in memory and depression behaviors.

Figure 9

Schematic diagram demonstrating the effects of Rg1 treatment on behavior and hippocampal proteome. On the one hand, Rg1 treatment could improve the memory impairment and ameliorate the depression-like behaviors of 3xTg-AD mice. On the other hand, proteomic analysis revealed that Rg1 could modulate the expression of multiple hippocampal proteins in 3xTg-AD mice. Notably, complexin-2 (CPLX2), a depression- and memory-related protein, and synapsin-2 (SYN2) and synaptosomal-associated protein 25 (SNP25), two memory-related proteins, were significantly downregulated in the hippocampus of 3xTg-AD mice compared with the WT mice, and the treatment of Rg1 modulated the expression of CPLX2 and SNP25 in hippocampus of 3xTg-AD mice.

Conflicts of Interest

The authors declare that they have no conflict of interest to disclose.

Authors’ Contributions

Lulin Nie and Junxia Xia contributed equally to this work.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (81673134, 31670360), Guangdong Provincial Natural Science Foundation (2014A030313715, 2016A030313051), Guangdong Provincial Scheme of Science and Technology (to Xifei Yang), Initiating Grant for Overseas Study of Educational Ministry (0211510025), and Shenzhen Special Fund Project on Strategic Emerging Industry Development (JCYJ20160428143433768, JCYJ20150529164656093, JCYJ20150529153646078, JCYJ20140416122811964, JCYJ20160422143433757, CXZZ20150529165110750, and ZDSYS201506031617582).

References

J. Zhang, S. An, W. Hu et al., “The neuroprotective properties of Hericium erinaceus in glutamate-damaged differentiated PC12 cells and an Alzheimer’s disease mouse model,” International Journal of Molecular Sciences, vol. 17, no. 11, article E1810, 2016.
View at: Publisher Site | Google Scholar
C. H. Chang, Y. Chen, X. X. Yew et al., “Improvement of erinacine a productivity in Hericium erinaceus mycelia and its neuroprotective bioactivity against the glutamate-insulted apoptosis,” LWT - Food Science and Technology, vol. 19, no. 6, pp. 616–626, 2015.
View at: Publisher Site | Google Scholar
A. C. Herrera, M. Prince, M. Knapp, M. Guerchet, and M. Karagiannidou, “World Alzheimer Report 2016: improving healthcare for people with dementia. Coverage, quality and costs now and in the future,” Alzheimer’s Disease International, 2016.
View at: Google Scholar
J. Ruzicka, M. Kulijewicz-Nawrot, J. J. Rodrigez-Arellano, P. Jendelova, and E. Sykova, “Mesenchymal stem cells preserve working memory in the 3xTg-AD mouse model of Alzheimer’s disease,” International Journal of Molecular Sciences, vol. 17, no. 2, article E152, 2016.
View at: Publisher Site | Google Scholar
M. O. Grimm, J. Mett, and T. Hartmann, “The impact of vitamin E and other fat-soluble vitamins on Alzheimer’s disease,” International Journal of Molecular Sciences, vol. 17, no. 11, article E1785, 2016.
View at: Publisher Site | Google Scholar
D. J. Selkoe, “Cell biology of protein misfolding: the examples of Alzheimer’s and Parkinson’s diseases,” Nature Cell Biology, vol. 6, no. 11, pp. 1054–1061, 2004.
View at: Publisher Site | Google Scholar
R. O. Roberts, T. J. Christianson, W. K. Kremers et al., “Association between olfactory dysfunction and amnestic mild cognitive impairment and Alzheimer disease dementia,” JAMA Neurology, vol. 73, no. 1, pp. 93–101, 2016.
View at: Publisher Site | Google Scholar
T. Sugimoto, R. Ono, S. Murata et al., “Prevalence and associated factors of sarcopenia in elderly subjects with amnestic mild cognitive impairment or Alzheimer disease,” Current Alzheimer Research, vol. 13, no. 6, pp. 718–726, 2016.
View at: Publisher Site | Google Scholar
J. K. Chung, E. Plitman, S. Nakajima et al., “Cortical amyloid β deposition and current depressive symptoms in Alzheimer disease and mild cognitive impairment,” Journal of Geriatric Psychiatry and Neurology, vol. 29, no. 3, pp. 149–159, 2016.
View at: Publisher Site | Google Scholar
M. I. Geerlings, T. den Heijer, P. J. Koudstaal, A. Hofman, and M. M. Breteler, “History of depression, depressive symptoms, and medial temporal lobe atrophy and the risk of Alzheimer disease,” Neurology, vol. 70, no. 15, pp. 1258–1264, 2008.
View at: Publisher Site | Google Scholar
J. T. Zhang, C. F. Chen, and G. Z. Liu, “The chemistry metabolism and biological activities of ginseng,” Chemical Industry, vol. 16, no. 24, pp. 7841–7852, 2006.
View at: Google Scholar
I. H. Cho, “Effects of Panax ginseng in neurodegenerative diseases,” Journal of Ginseng Research, vol. 36, no. 4, pp. 342–353, 2012.
View at: Publisher Site | Google Scholar
N. Li, L. Zhou, W. Li, Y. Liu, J. Wang, and P. He, “Protective effects of ginsenosides Rg1 and Rb1 on an Alzheimer’s disease mouse model: a metabolomics study,” Journal of Chromatography B, vol. 985, pp. 54–61, 2015.
View at: Publisher Site | Google Scholar
I. Mook-Jung, H. S. Hong, J. H. Boo et al., “Ginsenoside Rb1 and Rg1 improve spatial learning and increase hippocampal synaptophysin level in mice,” Journal of Neuroscience Research, vol. 63, no. 6, pp. 509–515, 2001.
View at: Publisher Site | Google Scholar
Y. Q. Shi, T. W. Huang, L. M. Chen et al., “Ginsenoside Rg1 attenuates amyloid-β content, regulates PKA/CREB activity, and improves cognitive performance in SAMP8 mice,” Journal of Alzheimer’s Disease, vol. 19, no. 3, pp. 977–989, 2010.
View at: Publisher Site | Google Scholar
F. Fang, X. Chen, T. Huang, L. F. Lue, J. S. Luddy, and S. S. Yan, “Multi-faced neuroprotective effects of ginsenoside Rg1 in an Alzheimer mouse model,” Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, vol. 1822, no. 2, pp. 286–292, 2012.
View at: Publisher Site | Google Scholar
Q. Quan, J. Wang, X. Li, and Y. Wang, “Ginsenoside Rg1 decreases Aβ_1–42 level by upregulating PPARγ and IDE expression in the hippocampus of a rat model of Alzheimer’s disease,” PLoS One, vol. 8, no. 3, article e59155, 2013.
View at: Publisher Site | Google Scholar
L. Gong, S. L. Li, H. Li, and L. Zhang, “Ginsenoside Rg1 protects primary cultured rat hippocampal neurons from cell apoptosis induced by β-amyloid protein,” Pharmaceutical Biology, vol. 49, no. 5, pp. 501–507, 2011.
View at: Publisher Site | Google Scholar
Q. Liu, J. P. Kou, and B. Y. Yu, “Ginsenoside Rg1 protects against hydrogen peroxide-induced cell death in PC12 cells via inhibiting NF-κB activation,” Neurochemistry International, vol. 58, no. 1, pp. 119–125, 2011.
View at: Publisher Site | Google Scholar
J. K. Clark, M. Furgerson, J. D. Crystal, M. Fechheimer, R. Furukawa, and J. J. Wagner, “Alterations in synaptic plasticity coincide with deficits in spatial working memory in presymptomatic 3xTg-AD mice,” Neurobiology of Learning and Memory, vol. 125, pp. 152–162, 2015.
View at: Publisher Site | Google Scholar
A. Romano, L. Pace, B. Tempesta et al., “Depressive-like behavior is paired to monoaminergic alteration in a murine model of Alzheimer’s disease,” International Journal of Neuropsychopharmacology, vol. 18, no. 4, article pyu020, 2014.
View at: Publisher Site | Google Scholar
X. Y. Song, J. F. Hu, S. F. Chu et al., “Ginsenoside Rg1 attenuates okadaic acid induced spatial memory impairment by the GSK3β/tau signaling pathway and the Aβ formation prevention in rats,” European Journal of Pharmacology, vol. 710, no. 1–3, pp. 29–38, 2013.
View at: Publisher Site | Google Scholar
L. Prut and C. Belzung, “The open field as a paradigm to measure the effects of drugs on anxiety-like behaviors: a review,” European Journal of Pharmacology, vol. 463, no. 1–3, pp. 3–33, 2003.
View at: Publisher Site | Google Scholar
C. Belzung and G. Griebel, “Measuring normal and pathological anxiety-like behaviour in mice: a review,” Behavioural Brain Research, vol. 125, no. 1-2, pp. 141–149, 2001.
View at: Publisher Site | Google Scholar
L. Steru, R. Chermat, B. Thierry, and P. Simon, “The tail suspension test: a new method for screening antidepressants in mice,” Psychopharmacology, vol. 85, no. 3, pp. 367–370, 1985.
View at: Publisher Site | Google Scholar
Y. Deng-Bryant, L. Y. Leung, K. Caudle, F. Tortella, and D. Shear, “Cognitive evaluation using Morris water maze in neurotrauma,” Methods in Molecular Biology, vol. 1462, pp. 539–551, 2016.
View at: Publisher Site | Google Scholar
S. Iadevaia, Y. Lu, F. C. Morales, G. B. Mills, and P. T. Ram, “Identification of optimal drug combinations targeting cellular networks: integrating phospho-proteomics and computational network analysis,” Cancer Research, vol. 70, no. 17, pp. 6704–6714, 2010.
View at: Publisher Site | Google Scholar
E. Orta-Salazar, A. Feria-Velasco, G. I. Medina-Aguirre, and S. Díaz-Cintra, “Morphological analysis of the hippocampal region associated with an innate behaviour task in the transgenic mouse model (3xTg-AD) for Alzheimer disease,” Neurología, vol. 28, no. 8, pp. 497–502, 2013.
View at: Publisher Site | Google Scholar
S. Chakroborty, J. Kim, C. Schneider, C. Jacobson, J. Molgó, and G. E. Stutzmann, “Early presynaptic and postsynaptic calcium signaling abnormalities mask underlying synaptic depression in presymptomatic Alzheimer’s disease mice,” Journal of Neuroscience, vol. 32, no. 24, pp. 8341–8353, 2012.
View at: Publisher Site | Google Scholar
H. J. Kim, P. Kim, and C. Y. Shin, “A comprehensive review of the therapeutic and pharmacological effects of ginseng and ginsenosides in central nervous system,” Journal of Ginseng Research, vol. 37, no. 1, pp. 8–29, 2013.
View at: Publisher Site | Google Scholar
B. Jiang, Z. Xiong, J. Yang et al., “Antidepressant-like effects of ginsenoside Rg1 are due to activation of the BDNF signalling pathway and neurogenesis in the hippocampus,” British Journal of Pharmacology, vol. 166, no. 6, pp. 1872–1887, 2012.
View at: Publisher Site | Google Scholar
E. J. Huang and L. F. Reichardt, “Neurotrophins: roles in neuronal development and function,” Annual Review of Neuroscience, vol. 24, no. 1, pp. 677–736, 2001.
View at: Publisher Site | Google Scholar
G. Zhu, Y. Wang, J. Li, and J. Wang, “Chronic treatment with ginsenoside Rg1 promotes memory and hippocampal long-term potentiation in middle-aged mice,” Journal of Neuroscience, vol. 292, pp. 81–89, 2015.
View at: Publisher Site | Google Scholar
C. Sheng, W. Peng, Z. A Xia et al., “The impact of ginsenosides on cognitive deficits in experimental animal studies of Alzheimer’s disease: a systematic review,” BMC Complementary and Alternative Medicine, vol. 15, p. 386, 2015.
View at: Publisher Site | Google Scholar
C. Shi, D. D. Zheng, L. Fang, F. Wu, W. H. Kwong, and J. Xu, “Ginsenoside Rg1 promotes nonamyloidgenic cleavage of APP via estrogen receptor signaling to MAPK/ERK and PI3K/Akt,” Biochimica et Biophysica Acta (BBA) - General Subjects, vol. 1820, no. 4, pp. 453–460, 2012.
View at: Publisher Site | Google Scholar
L. Yang, J. Zhang, K. Zheng, H. Shen, and X. Chen, “Long-term ginsenoside Rg1 supplementation improves age-related cognitive decline by promoting synaptic plasticity associated protein expression in C57BL/6J mice,” Journals of Gerontology Series A: Biological Sciences and Medical Sciences, vol. 69, no. 3, pp. 282–294, 2014.
View at: Publisher Site | Google Scholar
I. Dewachter, J. Van Dorpe, L. Smeijers et al., “Aging increases amyloid peptides and causes plaques in brain of old APP/London transgenic mice by a different mechanism than a mutant presenilin-1 transgene,” Neurobiology of Aging, vol. 20, no. 17, pp. 6452–6458, 2000.
View at: Publisher Site | Google Scholar
K. Yang, Y. Tan, F. Wang et al., “The improvement of spatial memory deficits in APP/V717I transgenic mice by chronic anti-stroke herb treatment,” Experimental Biology and Medicine, vol. 239, no. 8, pp. 1007–1017, 2014.
View at: Publisher Site | Google Scholar
F. Li, X. Wu, J. Li, and Q. Niu, “Ginsenoside Rg1 ameliorates hippocampal long-term potentiation and memory in an Alzheimer’s disease model,” Molecular Medicine Reports, vol. 13, no. 6, pp. 4904–4910, 2016.
View at: Publisher Site | Google Scholar
X. Zhu, R. Gao, Z. Liu et al., “Ginsenoside Rg1 reverses stress-induced depression-like behaviours and brain-derived neurotrophic factor expression within the prefrontal cortex,” European Journal of Neuroscience, vol. 44, no. 2, pp. 1878–1885, 2016.
View at: Publisher Site | Google Scholar
X. Zheng, Y. Liang, A. Kang et al., “Peripheral immunomodulation with ginsenoside Rg1 ameliorates neuroinflammation-induced behavioral deficits in rats,” Neuroscience, vol. 256, pp. 210–222, 2014.
View at: Publisher Site | Google Scholar
L. Ho, Y. Guo, L. Spielman et al., “Altered expression of a-type but not b-type synapsin isoform in the brain of patients at high risk for Alzheimer’s disease assessed by DNA microarray technique,” Neuroscience Letters, vol. 298, no. 3, pp. 191–194, 2001.
View at: Publisher Site | Google Scholar
C. A. Altar, M. P. Vawter, and S. D. Ginsberg, “Target identification for CNS diseases by transcriptional profiling,” Neuropsychopharmacology, vol. 34, no. 1, pp. 18–54, 2009.
View at: Publisher Site | Google Scholar
A. Corradi, A. Zanardi, C. Giacomini et al., “Synapsin-I- and synapsin-II-null mice display an increased age-dependent cognitive impairment,” Journal of Cell Science, vol. 121, Part 18, pp. 3042–3051, 2008.
View at: Publisher Site | Google Scholar
B. A. Dyck, K. J. Skoblenick, J. M. Castellano, K. Ki, N. Thomas, and R. K. Mishra, “Synapsin II knockout mice show sensorimotor gating and behavioural abnormalities similar to those in the phencyclidine-induced preclinical animal model of schizophrenia,” Schizophrenia Research, vol. 97, no. 1–3, pp. 292-293, 2007.
View at: Publisher Site | Google Scholar
B. A. Dyck, K. J. Skoblenick, J. M. Castellano, K. Ki, N. Thomas, and R. K. Mishra, “Behavioral abnormalities in synapsin II knockout mice implicate a causal factor in schizophrenia,” Synapse, vol. 63, no. 8, pp. 662–672, 2009.
View at: Publisher Site | Google Scholar
A. Brinkmalm, G. Brinkmalm, W. G. Honer et al., “SNAP-25 is a promising novel cerebrospinal fluid biomarker for synapse degeneration in Alzheimer’s disease,” Molecular Neurodegeneration, vol. 9, no. 1, p. 53, 2014.
View at: Publisher Site | Google Scholar
X. Zheng and J. A. Bobich, “A sequential view of neurotransmitter release,” Brain Research Bulletin, vol. 47, no. 2, pp. 117–128, 1998.
View at: Publisher Site | Google Scholar
S. Zahid, R. Khan, M. Oellerich, N. Ahmed, and A. R. Asif, “Differential S-nitrosylation of proteins in Alzheimer’s disease,” Neuroscience, vol. 256, pp. 126–136, 2014.
View at: Publisher Site | Google Scholar
S. Shimohama, S. Fujimoto, Y. Sumida et al., “Differential expression of rat brain synaptic proteins in development and aging,” Biochemical and Biophysical Research Communications, vol. 251, no. 1, pp. 394–398, 1998.
View at: Publisher Site | Google Scholar
A. Savioz, B. M. Riederer, P. Heutink et al., “Tau and neurofilaments in a family with frontotemporal dementia unlinked to chromosome 17q21-22,” Neurobiology of Disease, vol. 12, no. 1, pp. 46–55, 2003.
View at: Publisher Site | Google Scholar
L. I. Sinclair, H. M. Tayler, and S. Love, “Synaptic protein levels altered in vascular dementia,” Neuropathology and Applied Neurobiology, vol. 41, no. 4, pp. 533–543, 2015.
View at: Publisher Site | Google Scholar
A. G. McKee, J. S. Loscher, N. C. O'Sullivan et al., “AAV-mediated chronic over-expression of SNAP-25 in adult rat dorsal hippocampus impairs memory-associated synaptic plasticity,” Journal of Neurochemistry, vol. 112, no. 4, pp. 991–1004, 2010.
View at: Publisher Site | Google Scholar
G. Chen, T. Hu, Q. Li, J. Li, Y. Jia, and Z. Wang, “Expression of synaptosomal-associated protein-25 in the rat brain after subarachnoid hemorrhage,” Neural Regeneration Research, vol. 8, no. 29, pp. 2693–2702, 2013.
View at: Publisher Site | Google Scholar
D. Glynn, H. E. Gibson, M. K. Harte et al., “Clorgyline-mediated reversal of neurological deficits in a complexin 2 knockout mouse,” Human Molecular Genetics, vol. 19, no. 17, pp. 3402–3412, 2010.
View at: Publisher Site | Google Scholar
S. L. Eastwood and P. J. Harrison, “Synaptic pathology in the anterior cingulate cortex in schizophrenia and mood disorders. A review and a Western blot study of synaptophysin, GAP-43 and the complexins,” Brain Research Bulletin, vol. 55, no. 5, pp. 569–578, 2001.
View at: Publisher Site | Google Scholar
K. Sawada, C. E. Young, A. M. Barr et al., “Altered immunoreactivity of complexin protein in prefrontal cortex in severe mental illness,” Molecular Psychiatry, vol. 7, no. 5, pp. 484–492, 2002.
View at: Publisher Site | Google Scholar
H. T. McMahon, M. Missler, C. Li, and T. C. Südhof, “Complexins: cytosolic proteins that regulate SNAP receptor function,” Cell, vol. 83, no. 1, pp. 111–119, 1995.
View at: Publisher Site | Google Scholar
W. Freeman and A. J. Morton, “Regional and progressive changes in brain expression of complexin II in a mouse transgenic for the Huntington’s disease mutation,” Brain Research Bulletin, vol. 63, no. 1, pp. 45–55, 2004.
View at: Publisher Site | Google Scholar

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