Abstract
Our previous study presented evidence that the inflammation-related S100A9 gene is significantly upregulated in the brains of Alzheimer's disease (AD) animal models and human AD patients. In addition, experiments have shown that knockdown of S100A9 expression improves cognition function in AD model mice (Tg2576), and these animals exhibit reduced amyloid plaque burden. In this study, we established a new transgenic animal model of AD by crossbreeding the Tg2576 mouse with the S100A9 knockout (KO) mouse. We observed that S100A9KO/Tg2576 (KO/Tg) mice displayed an increased spatial reference memory in the Morris water maze task and Y-maze task as well as decreased amyloid beta peptide (Aβ) neuropathology because of reduced levels of Aβ, C-terminal fragments of amyloid precursor protein (APP-CT) and phosphorylated tau and increased expression of anti-inflammatory IL-10 and also decreased expression of inflammatory IL-6 and tumor neurosis factor (TNF)-α when compared with age-matched S100A9WT/Tg2576 (WT/Tg) mice. Overall, these results suggest that S100A9 is responsible for the neurodegeneration and cognitive deficits in Tg2576 mice. The mechanism of S100A9 is able to coincide with the inflammatory process. These findings indicate that knockout of S100A9 is a potential target for the pharmacological therapy of AD.
Introduction
The S100 protein family represents the largest sub group within the Ca2+ binding EF-hand superfamily [1]. As S100 proteins have diverse functions, it is no surprise that these proteins are implicated in numerous human diseases, including different types of cancer characterized by altered expression levels of S100 proteins as well as inflammatory and autoimmune diseases [1], [2]. Some S100 proteins, such as S100A6 and S100B, play a prominent role in neurodegenerative disorders, including Alzheimer's disease (AD) [1], [3]–[6].
In a recent study on the pro-inflammatory S100A8/A9 proteins, amyloid formation was formed in the aging prostate [7], and our previous study has demonstrated that S100A9 plays a prominent role in AD [8].
Inflammation, insoluble protein deposition and neuronal cell loss are important features of the AD brain. S100A9, a the member of the calcium binding S100 protein family that is also known as MRP14 or Calgranulin B, is an inflammation-associated protein that is constitutively expressed in neutrophils and inducible in numerous inflammatory cells, including macrophages, epithelial cells, and keratinocytes [9]–[11]. S100A9 plays a role in the inflammation of the AD brain; however, a detailed mechanism has not been sufficiently reported.
Neuronal degeneration, which involves synaptic and neuronal loss, and formations of intracellular neurofibrillary tangles and extracellular neuritic plaques containing amyloid beta (Aβ) peptide plays a central role in the pathogenesis of neurodegenerative diseases, particularly in AD [12]–[15]. The enzymes β- and γ-secretase generate monomeric Aβ in neurons from amyloid precursor protein (APP) [16]. Monomeric Aβ undergoes conformational transitions and forms a dimer or trimer as well as soluble high molecular weight aggregates, and it progresses to form spherical oligomers that are composed of 12 to 24 monomers. Protofibrils elongated by these oligomers become insoluble fibrils [17], [18]. Many researchers have reported that the presence of oligomeric Aβ is more strongly correlated with disease symptoms than amyloid plaques [16], [17], [19], [20]. And aggregates of Aβ have also been shown to activate microglia and induce the production of pro-inflammatory cytokines such as tumor necrosis factor (TNF)-α, Interleukins-6 (IL-6) [21] and reduced anti-inflammatory cytokine such as IL-10 [22].
It is well known that Tg2576 mice (Tg) harboring the human APP transgene with the familial AD Swedish mutation develop AD-like cerebral amyloidosis [23], [24]. Under 6 month of age, the mice have normal memory and lack neuropathology; at 6–13 months, the mice develop memory deficits without neuronal loss; and in mice older that14 months, neuritic plaques containing Aβ form [25]–[28]. There is strong evidence that Aβ is responsible for the age-related memory decline [25], [29], [30]. In addition, Tg2576 mice develop age-dependent behavioral deficits when studied using the Y-maze and Morris water maze test [25], [26], [28].
There have been many recent studies that have examined S100A9 deficiencies. For example, in one study, S100A9 deficient mice were used to confirm the expression of Interleukin-8-induced CD11b [31]. In another study, S100A9-deficient mice were used as a model to study the role of two S100 proteins in calcium and zinc metabolism in neutrophils [10]. However, these studies were not related to AD.
To assess whether S100A9 knockout rescued the cognitive deficit and neuropathology in AD animal mice, S100A9 KO mice were crossbred with Tg2576 mice. These mice allowed for the comparison of four groups of mice; wild type/wild type (WT/WT), S100A9knock out/wild type (KO/WT), wild type/Tg2576 (WT/Tg), and S100A9knock out/Tg2576 (KO/Tg). At 13 months of age, we found that KO/Tg mice showed rescued cognitive impairments compared to WT/Tg mice. We also confirmed differences in pathogenesis, particularly abundant amyloid neuritic plaques containing Aβ and phosphorylated tau proteins and inflammatory process related cytokines in 4 groups of 14-month-old S100A9 KO/Tg crossbred mice.
Materials and Methods
Generation of S100A9 KOxTg crossbred mice and genotyping by PCR
All animal procedures were performed following the National Institutes of Health Guidelines for the Humane Treatment of Animals, with approval from the Institutional Animal Care and Use Committee of Seoul National University (IACUC No. SNU-100611-1). Animals of only male were used in this study.
S100A9 KO mice in a C57BL/6 background were kindly provided by Wolfgang Nacken (Münster University, Germany) [31] and crossed with Tg2576 mice expressing human APP695 with the Swedish mutation (K670N/M671L) on a C57BL/6 x SJL background. Tg2576 mice were obtained from Taconic Farms (Germantown, NY) and were bred by mating male mice with C57BL/6 x SJLF1 females, as described by others [26].
To analyze the offspring, genomic DNA samples isolated from mice tails was genotyped based on the previously described method [8], [26]. Four different genotypes (WT/WT, KO/WT, WT/Tg, KO/Tg) were studied at 14 months of age (9∼11 mice per group).
Tissue preparation
To obtain tissues for experiments, the animals were anaesthetized and immediately cardiac-perfused with PBS containing heparin. For morphological analyses, one hemisphere of the brain was fixed in a 4% paraformaldehyde solution for 24 h and embedded in paraffin. For biochemical analyses, including western blotting, enzymatic activity assays and enzyme-linked immunosorbent assays, the other half of the brain was quickly frozen on dry ice and stored at −70°C. Tissues were lysed in RIPA buffer with protease inhibitors cocktail (Roche).
Immunohistochemistry
Sections were deparaffinized in xylene and dehydrated using graded alcohols to water. Sections were retrieved by 0.01M citric acid (pH 6.0) and blocked with 0.5% triton X-100 and 2% normal serum in TBS. Appropriate primary antibodies were incubated overnight (O/N) and were visualized using an appropriate secondary antibody. For labeling, immunohistochemistry was performed using a Vectastain avidin biotin complex (ABC) elite kit. The reaction product was detected using 3.3-diaminobenzidinetetrahydrochloride (DAB).
Western blot
Tissues were washed with phosphate-buffered saline (PBS) and lysed in RIPA buffer with a cocktail of protease inhibitors (Roche). Proteins were separated using SDS-PAGE and transferred to a PVDF membrane. The PVDF membrane was blocked with 5% nonfat dry milk in Tris-buffered saline containing 0.05% Tween 20 (TBS-T). After 1 h of blocking, the protein blot was confirmed using appropriate antibodies at 4°C O/N and detected using a horseradish peroxidase-conjugated secondary antibody (Amersham Pharmacia). Westen blotting was detected by Gel doc system (Bio-rad) and data was analyzed using quantity one program (Bio-rad).
Antibodies
The following primary antibodies were used: anti-Aβ mouse monoclonal antibody 6E10 (MAB5206; Chemicon), anti-mouse S100A9 and S100A8 (AF2065, AF3059; R&D systems), S100B (ab52642;Abcam), GAPDH (Abfrontier), anti-Amyloid Oligomer, Aβ, (AB9234; Millipore),p-Tau (Ser404) (sc-12952;Santa Cruz Biotech.), Phospho-PHF-tau (S202/T205, AT8) (NM1020;Pierce), Anti-PhosphoTau (S396;PHF-13) (ab24716;Abcam), Tau (C-17) (sc-1995;Santa Cruz Biotechnology), Calnexin (H-70) (sc-11397;Santa Cruz Biotechnology), and BACE (M-83) (sc-10748;Santa Cruz Biotechnology).
ELISA
ELISAs were performed using colorimetric sandwich ELISAs kits (human Aβ1-42: IBL, mouse IL-10: KMC0102, Invitrogen, mouse IL-6: DY406, R&D systems, TNF-α: DY410, R&D systems) for the quantitative determination of human Aβ1-42 IL-10, IL-6, and TNF-α in brains. All assays were performed according to manufacturer's specific instructions. Levels of these proteins were calculated from a standard curve developed with specific OD versus serial dilutions of known concentration. Each standard and experimental sample was run in duplicate, and the results were averaged.
Morris water maze task
The Morris water maze was performed at 13 months after birth to measure spatial reference learning and memory based on the previously described method [8]. A training session consisted of a series of three trials per day for 5 consecutive days and a single probe trial was conducted 48 h after the final training session.
Y-maze task
Spatial memory was assessed using the Y-maze test. The apparatus consisted of a black plastic maze with three arms that intersected at 120° (60 cm long, 15 cm high, and 10 cm wide). Vertical metal poles located at the outer perimeter of the maze provided spatial cues. A mouse was placed at the end of one arm and allowed to move freely through the maze for 8 min without reinforcements, such as, food and water. The total numbers of entries into the arms, including returns to the same arms, was recorded. Alternation was defined as entry into each of the three arms consecutively. The maximum number of alternations was calculated by subtracting two from the total number of arms entered. Percent alternation was calculated by expressing actual alternations as a percentage of maximum alternations [32].
Passive avoidance test
As described previously [33], [34], the passive avoidance test apparatus (Model PACS-30, Columbus Instruments Int.) was used to evaluate the effects of S100A9 KOxTg crossbred mice on learning and memory. The shuttle box is divided into two chambers of equal size (23.5*15.5*15.5 cm) separated by a guillotine door (6.5*4.5 cm). The light chamber is equipped and mice can enter the dark chamber through the guillotine door. Mice were initially placed in the light chamber with the door open. If the mice entered the dark compartment, the door closed automatically. Training was repeated until the mice entered the dark compartment within 30 sec (training trial). When mice entered the dark chamber, an electrical foot shock (0.3 mA) was delivered for 3 sec through the grid floor and the door was closed automatically (acquisition trial). The mice were replaced in the illuminated chamber 24 h after the acquisition trial and the latency period to enter the dark chamber was measured for 300 sec (retention trial). If a mouse did not enter the dark chamber within the cut-off time (300 sec), it was assigned a latency value of 300 sec.
Amyloid plaques staining
Brain sections (4 µm) were deparaffinized and hydrated using a descending ethanol series. After washing in a freshly prepared alkaline alcoholic saturated sodium chloride reagent (2.5 mM NaOH in 80% reagent-grade alcohol) for 20 min at room temperature, the sections were incubated in 0.4% Congo red (W/V, Sigma) in an alkaline alcoholic saturated sodium chloride reagent (freshly prepared and filtered prior to use) for 30 min at room temperature. Sections were washed in distilled water and counterstained with hematoxylin for 1 min. Sections were rinsed using ascending grades of ethanol with a final three changes of 100% reagent-grade ethanol, cleared in xylene and cover slipped with permount (Fisher Scientific) [32]. 0.5% thioflavin-S (Thio-S) solution was used for 5 min at room temperature.
Secretase activity test
The fluorometric assay of secretase was conducted using β- and γ-secretase activity kits (R&D systems, Inc., USA) in accordance with the protocol supplied by the manufacturer. As an enzyme source, total cortical protein lysates were tested. Quantification of substrate cleavage was assessed using a fluorometric reader (355 nm excitation, 510 nm emission).
Statistical analysis
Data were expressed as the mean ±SEM value or as fraction of the control value ± SEM. These results were analyzed by ANOVA followed by the Tukey HSD or the LSD test (SPSS version 18). The difference was considered statistically significant for *, p≤0.05, **, p≤0.01, and ***, p≤0.001.
Results
Generation of S100A9KO/Tg2576 crossbred mice
To elucidate whether S100A9−/− plays a key role in AD progression, we crossed F1 male S100A9+/−/Tg2576 (HT/Tg) mice with female S100A9+/−/WT (HT/WT) mice to generate F2 littermates with the following genotypes: S100A9+/+/WT (WT/WT), HT/WT, S100A9−/−/WT (KO/WT), S100A9+/+/Tg2576 (WT/Tg), HT/Tg and S100A9−/−/Tg2576 (KO/Tg) mice. The experimental groups include WT/WT, KO/WT, WT/Tg and KO/Tg. In Figure S1A, the genotypes of mice from 4 groups were confirmed using PCR and western blot. We successfully obtained 4 discrete groups in the F2 littermates, as shown by the PCR and western blotting data. In immunohistochemical analysis, the S100A9 protein was significantly increased in the cortex and hippocampus of WT/Tg mice brains compared with region-matched WT/WT mice brains (Figure S1B). We found that S100A9 levels in S100A9KO/Tg mice brains were decreased compared withS100A9 levels in WT/Tg mice brains.
We investigated the levels of other specific calcium-binding proteins, including Calnexin, S100A8 and S100B in the brains of S100A9 KO/Tg crossbred mice by western blot analysis. Our data indicate that there is no change in their levels among all groups (Figure S2A). We also investigated S100A8 immunopositive cells in the brains of S100A9KO/Tg2576 crossbred mice using immunohistochemistry. Here, no differences in S100A8 expression in the brains of all groups were detected (Figure S2B).
S100A9KO/Tg2576 crossbred mice showed significant improvements in spatial reference memory
At 13 months of age, we evaluated learning and memory impairment in S100A9KO/Tg2576 crossbred mice using the Morris water maze task. With trainings repeated every day, WT/WT, KO/WT and KO/Tg groups found the hidden platform with less movement, and the WT/Tg group wandered with no apparent pattern (Figure 1A). On the 5th day of the learning sessions, analysis of the escape latency of each group showed significant differences between the KO/Tg and WT/Tg groups (Figure 1A). We found no noticeable differences between the WT/WT and KO/Tg groups.
To confirm the memory impairment in WT/Tg mice, we performed the probe test 48 h after the final trial and recorded the duration of time spent in zone 4 without the platform. Similar to the WT/WT group, the KO/Tg mice stayed significantly longer in zone 4 than the other zones (zones 1–3) (Figure 1B). However, there was no significant difference for WT/Tg mice in terms of time spent in different zones, and no noticeable difference in the KO/WT mice (Figure 1B).
Similar results were observed in the Y-maze test. The alternation rate of arm entries in the Y-maze test was similar in the WT/WT and KO/WT groups. The alteration rate of arm entries was significantly decreased in the WT/Tg group (P = 0.009, F = 54.8%) but not in the KO/Tg group (P = 0.015, F = 64.4%; Figure 1C).These data show that knockout of S100A9 increased the spatial reference memory in KO/Tg mice.
To further examine the learning and memory function in S100A9 KO/Tg crossbred mice, we performed the passive avoidance test. As shown in Figure 1D, the latency of the KO/Tg group was shorter than the WT/Tg group in the passive avoidance test (P = 0.003, F = 106.6). In our analysis of these behavioral test findings, the S100A9 KO/Tg crossbred mice showed an improvement in cognitive performance.
S100A9KO/Tg2576 crossbred mice had the reduced number of amyloid plaques and decreased generation of Aβ 1-42
Insoluble deposits of Aβ plaques are strong candidates for initiating the inflammatory response [9]. The presence of amyloid plaques in hippocampus and cortex has been confirmed using Congo red or Thioflavin-S (Thio-S) staining [1], [3].
In this study, we examined amyloid plaque load and protein levels of Aβ and CT in the brains of 14-month-old WT/WT, KO/WT, WT/Tg and KO/Tg mice using Congo red staining and western blot analysis with the 6E10 antibody, which specifically recognizes amino acids1–17 of Aβ.
Fibrilar plaques were observed by Congo red and Thio-S staining in the cortex and hippocampus of KO/Tg and WT/Tg mice (Figure 2A and Figure S3). However, the number of amyloid plaques in KO/Tg mice was significantly reduced (from 14.7 to 6.31, P = 0.025; Student's t-test; Figure 2B). In the brains of WT/WT and KO/WT mice, no amyloid plaques were observed (Figure 2B).
Based on the Congo red staining data (Figure 2A and B), we examined protein levels of APP, APP C-terminal fragment (APP-CT) and Aβ using the 6E10 antibody. The expression of APP was no different between the WT/Tg and KO/Tg groups; however, the levels of Aβ and CT were decreased in the KO/Tg group (Figure 2D and F), which is consistent with the decreased number of amyloid plaques. The levels of Aβ and CT in the cortex of KO/Tg mice were significantly decreased (Aβ, from 1 to 0.24, P = 0.007; APP-CT, from1 to 0.613, P = 0.020; Figure 2D and F).
Using Aβ ELISAs, we confirmed the Aβ1-42 levels in the cortex and hippocampus of all groups. Similar to the Congo red staining and western blot results, Aβ1-42 in the brain of the KO/Tg group was significantly decreased by 51.17% in the cortex (from 594.84 to 304.38, P = 0.016; Figure 2G) and 41.03% in the hippocampus (from 250.8 to 102.9, P = 0.047; Figure 2H) compared to WT/Tg group.
Several studies have demonstrated that soluble Aβ oligomeric species can be extracted using saline buffers from the brain tissue of patients with AD, and the presence of soluble species is more strongly correlated with disease symptoms than amyloid plaques [16], [19], [20]. In the present study, oligomeric Aβ was detected by western blot using a specific oligomeric Aβ antibody and quantified (Figure 2I and J). In KO/Tg mice, we found a 0.47-fold decrease in oligomeric Aβ compared to the WT/Tg mice (P = 0.031, Figure 2J).
These data provide evidence that Aβ and CT protein levels in the brain were reduced by knockout of S100A9.
S100A9KO/Tg2576 crossbred mice showed decreased phosphorylation of tau
Abnormal tau phosphorylation is known as a key hallmark of AD [35]–[39]. Accumulation of phosphorylated neurofilaments and phospho-tau occurs in neurites surrounded amyloid plaques in APP transgenic mice [35], [40]–[43].
To determine whether S100A9 causes hyperphosphorylation of tau, we performed immunohistochemistry using brain sections with a phospho-specific tau antibody. Phosphorylated tau (P-tau), detected near Aβ plaques was reduced in the hippocampus and cortex of KO/Tg mice brains (Figure 3). And some of phosphorylated tau, such as AT8 (S202 and T205) and PHF-13 (S396), were reduced in the cortical brain of KO/Tg mice compare with WT/Tg mice (Figure S4). These data showed that the S100A9 knockout functionally recovered the pathological deficits in Tg2576 mice.
The release of the anti-inflammatory cytokine, IL-10 was increased and the release of pro-inflammatory cytokines, IL-6 and TNF-α were decreased in 14-month-old S100A9KO/Tg2576 crossbred mice
S100 proteins, including S100A8, S100A9 and S100A12, are known to contribute to chronic inflammation [44]. Our previous study showed that treatment with siRNA for S100A9 (si-S100A9) attenuated the increase of IL-1β, TNF-α and iNOS by APP-CT. The induction of NO by APP-CT was greatly reduced by si-S100A9 treatment, which suggests that S100A9 might induce neuroinflammation by increasing intracellular Ca2+ levels [8]. Therefore, we focused on the mechanism related to inflammatory cytokines.
IL-10, an anti-inflammatory cytokine, has been known to have an ameliorative effect on severe inflammation by inhibiting the production of IL-12, IL-6, IFN-γ and TNF-α [22]. We confirmed the IL-10 levels in the total lysates from all groups of mice brains. In the cortex of S100A9 KO/Tg mice brains, IL-10 was increased (from 58.68 pg/ml to 80.37 pg/ml, P = 0.04) compared to WT/Tg mice (Figure 4A). These data indicate that a deficiency of S100A9 might inhibit severe inflammation by increasing the expression of anti-inflammatory cytokines.
IL-6 and TNF-α, which are representative pro-inflammatory cytokines, were found to be induced in reactive astrocytes surrounding beta-amyloid deposits detected in 14-month-old Tg2576 mice [45]. In KO/Tg mice brain, IL-6 was significantly decreased (from 151.4 pg/ml to 128.1 pg/ml, P = 0.048) compared to WT/Tg mice brain (Figure 4B). And TNF-α, was also decreased (from 136.2 pg/ml to 125.4 pg/ml, P = 0.035) compared to WT/Tg mice (Figure 4C). These data indicate that a deficiency of S100A9 might inhibit severe inflammation by increasing the expression of anti-inflammatory cytokines and by decreasing the expression of pro-inflammatory cytokines.
Discussion
The S100A9 protein became the focus of current research because of its association with numerous human disorders, including acute and chronic inflammatory conditions, autoimmune diseases, cancer, atherosclerosis, cardiomyopathies and neurodegenerative diseases [46]–[48], in addition to its crucial role in normal physiological processes within cells. Recently, S100A9 has been reported to participate in the inflammation of AD pathology [7]–[9]. These studies support our hypothesis that knock out of the S100A9 gene decreased memory impairment and AD-related pathogenesis as well as neurodegeneration in an AD mice model.
To show the role of the S100A9 gene more clearly, we crossbred S100A9 KO mice and Tg2576 AD mice. We first confirmed knock-out of the S100A9 gene in the crossbred S100A9 KO and Tg2576 mice by genotyping, western blot analysis and immunohistochemistry.
Deletion of S100A9 may result in a coordinate loss of S100A8 protein because of instability of S100A8 in the absence of its binding partner (S100A9) [31], [49], [50] therefore, we measured the level of S100A8 in S100A9 KO mice. In our study, it was difficult to detect any differences in S100A8 expression from each group by western blot analysis and immunohistochemistry (Figure S2B). In addition, we investigated the expression of other specific calcium-binding proteins, including Calnexin and S100B, in S100A9 KO/Tg crossbred mice brains. We confirmed Calnexin expression, which is a calcium-binding protein localized to the endoplasmic reticulum in S100A9 KO/Tg2576 crossbred mice. However, there was no difference in Calnexin expression (Figure S2A). Overexpression of S100B in the mice brain is known to accelerate neurodegenerative disease pathology, including AD and PD [4], [51], and promote the synthesis of APP mRNA and APP in neurons, which could serve as a source of additional Aβ accumulation [52]–[55]. In S100A9 KO/Tg2576 crossbred mice, each group did not show any differences in expression of the S100B protein (Figure S2). Our data indicate that the expression levels of S100A8, S100B, and Calnexin were not changed in S100A9 KO/Tg mice.
In AD animal mice, such as the Tg2576 mice, a rapid increase of Aβ begins at from 6 months, amyloid plaques are formed after 9–12 months, and memory deficits begin after 12 months [25]–[28]. We previously reported that knockdown of the S100A9 gene significantly reduced the neuropathology, greatly improved the learning and memory deficits, and reduced the amount of Aβ and CT by decreased BACE activity [8], [56].
We crossbred Tg2576 and S100A9KO mice and investigated the behavioral and pathological characteristics of S100A9KO/Tg2576 crossbred mice. Previous results have shown that S100A9 deficiency results in attenuated spatial learning and memory behavior in tests, including the Morris water maze, passive avoidance test, and Y-maze tasks, in 14-month-old mice. In our study, we found that S100A9 is related with learning and memory impairment in the AD mice model.
Spatial memory loss was related with the appearance of Aβ aggregates [25]. Amyloid plaques and neurofibrillary tangles are believed to be the major pathological feature of AD [8], [57], [58]. Our data showed that S100A9 KO/Tg mice have a decreased amyloid plaque load and tau pathology compared to S100A9WT/Tg mice. The number of amyloid plaques and levels of monomeric and oligomeric Aβ were decreased in S100A9 KO/Tg mice. The total amount of Aβ1-42 was greatly decreased in KO/Tg mice compared with WT/Tg mice. These results raise the question that S100A9 may be involved in the formation of plaques and may contribute to Aβ aggregation. We previously showed that knockdown using short hairpin RNA reduced the amount of Aβ and CT by decreasing BACE activity in Tg2576 mice. In S100A9 KO/Tg mice, we did not detect significant changes in BACE activity and expression of BACE (Figure S5A and B).
In AD, tau is highly phosphorylated, which leads to the formation of neurofibrillary tangles. Phosphorylation of tau tends to provoke massive neuronal death and synaptic disruption. Therefore, we observed the level of phosphorylated tau in the brains of all mice groups. In the S100A9 KO/Tg group, tau phosphorylation was decreased. These results clearly showed beneficial pathological changes in the S100A9 KO/Tg mice.
Recent reports have shown that microglia in the brains of aged AD mice produced pro-inflammatory cytokines [34] and S100A8 and S100A9 mRNA levels were significantly increased by stimulation of IL-6 and TNF-α [59]. The anti-inflammatory cytokine IL-10 could inhibit the production of IL-6 and TNF-α [22]. Based on these studies, we observed the levels of IL-10 in the brains of all mice groups and found that IL-10 expression was higher in KO/Tg mice compared to WT/Tg mice (Figure 4A). As we expected, expression of IL-6 and TNF-α in the brains were significantly decreased in KO/Tg mice compare with to WT/Tg mice (Figure 4B and C). Therefore, the S100A9 deficiency-mediated cognitive improvements, and a reduction of AD pathology in AD models could be explained by the increased neuroprotective cytokine IL-10 and decreased inflammatory cytokines IL-6 and TNF-α.
We conclude that S100A9 KO dramatically improved the learning and memory function as well as the neuropathology of Tg2576 mice by diminishing the formation of amyloid plaques, decreasing Aβ and CT levels and up-regulating cytokines such as IL-6, IL-10 and TNF-α. Thus, we suggest that S100A9 may be a potential therapeutic candidate for inflammatory-related AD.
Supporting Information
Funding Statement
This research was supported by the Conversing Research Center Program (2012K001350) and Basic Science Research Program (2012R1A1A2020118) through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology, the Republic of Korea and also supported by the Establishment and Operation of Korea Brain Research Institute (KBRI) Basic Research Program of the Ministry of Science, Ict & future Planning (2031-415). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Fritz G, Botelho HM, Morozova-Roche LA, Gomes CM (2010) Natural and amyloid self-assembly of S100 proteins: structural basis of functional diversity. FEBS J 277: 4578–4590. [DOI] [PubMed] [Google Scholar]
- 2. Salama I, Malone PS, Mihaimeed F, Jones JL (2008) A review of the S100 proteins in cancer. Ejso 34: 357–364. [DOI] [PubMed] [Google Scholar]
- 3. Roltsch E, Holcomb L, Young KA, Marks A, Zimmer DB (2010) PSAPP mice exhibit regionally selective reductions in gliosis and plaque deposition in response to S100B ablation. J Neuroinflammation 7: 78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Mori T, Koyama N, Arendash GW, Horikoshi-Sakuraba Y, Tan J, et al. (2010) Overexpression of Human S100B Exacerbates Cerebral Amyloidosis and Gliosis in the Tg2576 Mouse Model of Alzheimer's Disease. Glia 58: 300–314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Boom A, Pochet R, Authelet M, Pradier L, Borghgraef P, et al. (2004) Astrocytic calcium/zinc binding protein S100A6 over expression in Alzheimer's disease and in PS1/APP transgenic mice models. Biochimica Et Biophysica Acta-Molecular Cell Research 1742: 161–168. [DOI] [PubMed] [Google Scholar]
- 6. Mrak RE, Griffin WST (2001) The role of activated astrocytes and of the neurotrophic cytokine S100B in the pathogenesis of Alzheimer's disease. Neurobiol Aging 22: 915–922. [DOI] [PubMed] [Google Scholar]
- 7. Yanamandra K, Alexeyev O, Zamotin V, Srivastava V, Shchukarev A, et al. (2009) Amyloid formation by the pro-inflammatory S100A8/A9 proteins in the ageing prostate. PLoS One 4: e5562. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Ha TY, Chang KA, Kim JA, Kim HS, Kim S, et al. (2010) S100a9 Knockdown Decreases the Memory Impairment and the Neuropathology in Tg2576 Mice, AD Animal Model. PLoS One 5. [DOI] [PMC free article] [PubMed]
- 9. Shepherd CE, Goyette J, Utter V, Rahimi F, Yang Z, et al. (2006) Inflammatory S100A9 and S100A12 proteins in Alzheimer's disease. Neurobiol Aging 27: 1554–1563. [DOI] [PubMed] [Google Scholar]
- 10. Nacken W, Mooren FC, Manitz MP, Bode G, Sorg C, et al. (2005) S100A9 deficiency alters adenosine-5′-triphosphate induced calcium signalling but does not generally interfere with calcium and zinc homeostasis in murine neutrophils. Int J Biochem Cell Biol 37: 1241–1253. [DOI] [PubMed] [Google Scholar]
- 11. Nacken W, Roth J, Sorg C, Kerkhoff C (2003) S100A9/S100A8: Myeloid representatives of the S100 protein family as prominent players in innate immunity. Microsc Res Tech 60: 569–580. [DOI] [PubMed] [Google Scholar]
- 12. Lee YJ, Han SB, Nam SY, Oh KW, Hong JT (2010) Inflammation and Alzheimer's disease. Arch Pharm Res 33: 1539–1556. [DOI] [PubMed] [Google Scholar]
- 13. Querfurth HW, Laferla FM (2010) Alzheimer's Disease REPLY. New England Journal of Medicine 362: 1844–1845. [DOI] [PubMed] [Google Scholar]
- 14. Supnet C, Bezprozvanny I (2010) The dysregulation of intracellular calcium in Alzheimer disease. Cell Calcium 47: 183–189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Giannakopoulos P, Kovari E, Gold G, von Gunten A, Hof PR, et al. (2009) Pathological substrates of cognitive decline in Alzheimer's disease. Front Neurol Neurosci 24: 20–29. [DOI] [PubMed] [Google Scholar]
- 16. Benilova I, Karran E, De Strooper B (2012) The toxic Abeta oligomer and Alzheimer's disease: an emperor in need of clothes. Nat Neurosci 15: 349–357. [DOI] [PubMed] [Google Scholar]
- 17.Kayed R, Lasagna-Reeves C (2012) Molecular Mechanisms of Amyloid Oligomers Toxicity. J Alzheimers Dis. [DOI] [PubMed]
- 18. Glabe CG (2008) Structural Classification of Toxic Amyloid Oligomers. Journal of Biological Chemistry 283: 29639–29643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. McDonald JM, Savva GM, Brayne C, Welzel AT, Forster G, et al. (2010) The presence of sodium dodecyl sulphate-stable A beta dimers is strongly associated with Alzheimer-type dementia. Brain 133: 1328–1341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. McLean CA, Cherny RA, Fraser FW, Fuller SJ, Smith MJ, et al. (1999) Soluble pool of Abeta amyloid as a determinant of severity of neurodegeneration in Alzheimer's disease. Annals of Neurology 46: 860–866. [DOI] [PubMed] [Google Scholar]
- 21. Apelt J, Schliebs R (2001) beta-Amyloid-induced glial expression of both pro- and anti-inflammatory cytokines in cerebral cortex of aged transgenic Tg2576 mice with Alzheimer plaque pathology. Brain Research 894: 21–30. [DOI] [PubMed] [Google Scholar]
- 22. Wilson EH, Wille-Reece U, Dzersznski F, Hunter CA (2005) A critical role for IL-10 in limiting inflammation during toxoplasmic encephalitis. Journal of Neuroimmunology 165: 63–74. [DOI] [PubMed] [Google Scholar]
- 23. Almeida CG, Tampellini D, Takahashi RH, Greengard P, Lin MT, et al. (2005) Beta-amyloid accumulation in APP mutant neurons reduces PSD-95 and GluR1 in synapses. Neurobiol Dis 20: 187–198. [DOI] [PubMed] [Google Scholar]
- 24. Hsiao KK, Borchelt DR, Olson K, Johannsdottir R, Kitt C, et al. (1995) Age-related CNS disorder and early death in transgenic FVB/N mice overexpressing Alzheimer amyloid precursor proteins. Neuron 15: 1203–1218. [DOI] [PubMed] [Google Scholar]
- 25. Westerman MA, Cooper-Blacketer D, Mariash A, Kotilinek L, Kawarabayashi T, et al. (2002) The relationship between Abeta and memory in the Tg2576 mouse model of Alzheimer's disease. J Neurosci 22: 1858–1867. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Kawarabayashi T, Younkin LH, Saido TC, Shoji M, Ashe KH, et al. (2001) Age-dependent changes in brain, CSF, and plasma amyloid beta protein in the Tg2576 transgenic mouse model of Alzheimer's disease. Journal of Neuroscience 21: 372–381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Irizarry MC, McNamara M, Fedorchak K, Hsiao K, Hyman BT (1997) APPSw transgenic mice develop age-related A beta deposits and neuropil abnormalities, but no neuronal loss in CA1. J Neuropathol Exp Neurol 56: 965–973. [DOI] [PubMed] [Google Scholar]
- 28. Hsiao K, Chapman P, Nilsen S, Eckman C, Harigaya Y, et al. (1996) Correlative memory deficits, A beta elevation, and amyloid plaques in transgenic mice. Science 274: 99–102. [DOI] [PubMed] [Google Scholar]
- 29. Janus C, Pearson J, McLaurin J, Mathews PM, Jiang Y, et al. (2000) A beta peptide immunization reduces behavioural impairment and plaques in a model of Alzheimer's disease. Nature 408: 979–982. [DOI] [PubMed] [Google Scholar]
- 30. Chen G, Chen KS, Knox J, Inglis J, Bernard A, et al. (2000) A learning deficit related to age and beta-amyloid plaques in a mouse model of Alzheimer's disease. Nature 408: 975–979. [DOI] [PubMed] [Google Scholar]
- 31. Manitz MP, Horst B, Seeliger S, Strey A, Skryabin BV, et al. (2003) Loss of S100A9 (MRP14) Results in Reduced Interleukin-8-Induced CD11b Surface Expression, a Polarized Microfilament System, and Diminished Responsiveness to Chemoattractants In Vitro. Molecular and Cellular Biology 23: 1034–1043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Jung BK, Pyo KH, Shin KY, Hwang YS, Lim H, et al. (2012) Toxoplasma gondii Infection in the Brain Inhibits Neuronal Degeneration and Learning and Memory Impairments in a Murine Model of Alzheimer's Disease. PLoS One 7: e33312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Shin KY, Lee GH, Park CH, Kim HJ, Park SH, et al. (2007) A novel compound, maltolyl p-coumarate, attenuates cognitive deficits and shows neuroprotective effects in vitro and in vivo dementia models. Journal of Neuroscience Research 85: 2500–2511. [DOI] [PubMed] [Google Scholar]
- 34. Shen Z, Wang G, Lin SZ (1990) Two-way shuttlebox avoidance conditioning and brain NADH in rats. Physiol Behav 48: 515–517. [DOI] [PubMed] [Google Scholar]
- 35. Ferrer I, Gomez-Isla T, Puig B, Freixes M, Ribe E, et al. (2005) Current advances on different kinases involved in tau phosphorylation, and implications in Alzheimer's disease and tauopathies. Current Alzheimer Research 2: 3–18. [DOI] [PubMed] [Google Scholar]
- 36. Avila J, Lim F, Moreno F, Belmonte C, Cuello AC (2002) Tau function and dysfunction in neurons: its role in neurodegenerative disorders. Mol Neurobiol 25: 213–231. [DOI] [PubMed] [Google Scholar]
- 37. Lee VM, Goedert M, Trojanowski JQ (2001) Neurodegenerative tauopathies. Annu Rev Neurosci 24: 1121–1159. [DOI] [PubMed] [Google Scholar]
- 38. Buee L, Bussiere T, Buee-Scherrer V, Delacourte A, Hof PR (2000) Tau protein isoforms, phosphorylation and role in neurodegenerative disorders. Brain Res Brain Res Rev 33: 95–130. [DOI] [PubMed] [Google Scholar]
- 39. Spillantini MG, Goedert M (1998) Tau protein pathology in neurodegenerative diseases. Trends Neurosci 21: 428–433. [DOI] [PubMed] [Google Scholar]
- 40. Tomidokoro Y, Harigaya Y, Matsubara E, Ikeda M, Kawarabayashi T, et al. (2001) Brain A beta amyloidosis in APPsw mice induces accumulation of presenilin-I and tau. Journal of Pathology 194: 500–506. [DOI] [PubMed] [Google Scholar]
- 41. Masliah E, Sisk A, Mallory M, Games D (2001) Neurofibrillary pathology in transgenic mice overexpressing V717F beta-amyloid precursor protein. J Neuropathol Exp Neurol 60: 357–368. [DOI] [PubMed] [Google Scholar]
- 42. Sturchler-Pierrat C, Abramowski D, Duke M, Wiederhold KH, Mistl C, et al. (1997) Two amyloid precursor protein transgenic mouse models with Alzheimer disease-like pathology. Proc Natl Acad Sci U S A 94: 13287–13292. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Higgins LS, Holtzman DM, Rabin J, Mobley WC, Cordell B (1994) Transgenic mouse brain histopathology resembles early Alzheimer's disease. Annals of Neurology 35: 598–607. [DOI] [PubMed] [Google Scholar]
- 44. Mellins ED, Macaubas C, Grom AA (2011) Pathogenesis of systemic juvenile idiopathic arthritis: some answers, more questions. Nature Reviews Rheumatology 7: 416–426. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Mehlhorn G, Hollborn M, Schliebs R (2000) Induction of cytokines in glial cells surrounding cortical beta-amyloid plaques in transgenic Tg2576 mice with Alzheimer pathology. International Journal of Developmental Neuroscience 18: 423–431. [DOI] [PubMed] [Google Scholar]
- 46. Hoyaux D, Decaestecker C, Heizmann CW, Vogl T, Schafer BW, et al. (2000) S100 proteins in Corpora amylacea from normal human brain. Brain Res 867: 280–288. [DOI] [PubMed] [Google Scholar]
- 47. Salama I, Malone PS, Mihaimeed F, Jones JL (2008) A review of the S100 proteins in cancer. Eur J Surg Oncol 34: 357–364. [DOI] [PubMed] [Google Scholar]
- 48. van Lent PL, Grevers L, Blom AB, Sloetjes A, Mort JS, et al. (2008) Myeloid-related proteins S100A8/S100A9 regulate joint inflammation and cartilage destruction during antigen-induced arthritis. Ann Rheum Dis 67: 1750–1758. [DOI] [PubMed] [Google Scholar]
- 49. Loser K, Vogl T, Voskort M, Lueken A, Kupas V, et al. (2010) The Toll-like receptor 4 ligands Mrp8 and Mrp14 are crucial in the development of autoreactive CD8+ T cells. Nat Med 16: 713–717. [DOI] [PubMed] [Google Scholar]
- 50. Vogl T, Tenbrock K, Ludwig S, Leukert N, Ehrhardt C, et al. (2007) Mrp8 and Mrp14 are endogenous activators of Toll-like receptor 4, promoting lethal, endotoxin-induced shock. Nat Med 13: 1042–1049. [DOI] [PubMed] [Google Scholar]
- 51. Liu JL, Wang HL, Zhang LF, Xu YF, Deng W, et al. (2011) S100B Transgenic Mice Develop Features of Parkinson's Disease. Archives of Medical Research 42: 1–7. [DOI] [PubMed] [Google Scholar]
- 52. Li CY, Zhao R, Gao K, Wei Z, Yin MY, et al. (2011) Astrocytes: Implications for Neuroinflammatory Pathogenesis of Alzheimer's Disease. Current Alzheimer Research 8: 67–80. [DOI] [PubMed] [Google Scholar]
- 53. Liu L, Li Y, Van Eldik LJ, Griffin WS, Barger SW (2005) S100B-induced microglial and neuronal IL-1 expression is mediated by cell type-specific transcription factors. J Neurochem 92: 546–553. [DOI] [PubMed] [Google Scholar]
- 54. Li Y, Wang J, Sheng JG, Liu L, Barger SW, et al. (1998) S100 beta increases levels of beta-amyloid precursor protein and its encoding mRNA in rat neuronal cultures. J Neurochem 71: 1421–1428. [DOI] [PubMed] [Google Scholar]
- 55. Sheng JG, Mrak RE, Griffin WST (1997) Glial-neuronal interactions in Alzheimer disease: Progressive association of IL-1 alpha(+) microglia and S100 beta(+) astrocytes with neurofibrillary tangle stages. Journal of Neuropathology and Experimental Neurology 56: 285–290. [PubMed] [Google Scholar]
- 56. Chang KA, Kim HJ, Suh YH (2012) The role of s100a9 in the pathogenesis of Alzheimer's disease: the therapeutic effects of s100a9 knockdown or knockout. Neurodegener Dis 10: 27–29. [DOI] [PubMed] [Google Scholar]
- 57. Selkoe DJ (2001) Alzheimer's disease results from the cerebral accumulation and cytotoxicity of amyloid beta-protein. J Alzheimers Dis 3: 75–80. [DOI] [PubMed] [Google Scholar]
- 58. Suh YH, Checler F (2002) Amyloid precursor protein, presenilins, and alpha-synuclein: Molecular pathogenesis and pharmacological applications in Alzheimer's disease. Pharmacological Reviews 54: 469–525. [DOI] [PubMed] [Google Scholar]
- 59. Eggers K, Sikora K, Lorenz M, Taubert T, Moobed M, et al. (2011) RAGE-Dependent Regulation of Calcium-Binding Proteins S100A8 and S100A9 in Human THP-1. Experimental and Clinical Endocrinology & Diabetes 119: 353–357. [DOI] [PubMed] [Google Scholar]
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