Hyperphosphorylated tau in parahippocampal cortex impairs place learning in aged mice expressing wild-type human tau
2007; Springer Nature; Volume: 26; Issue: 24 Linguagem: Inglês
10.1038/sj.emboj.7601917
ISSN1460-2075
AutoresTetsuya Kimura, Shunji Yamashita, Tetsuya Fukuda, Jun-Mi Park, Miyuki Murayama, Tatsuya Mizoroki, Yuji Yoshiike, Naruhiko Sahara, Akihiko Takashima,
Tópico(s)Memory and Neural Mechanisms
ResumoArticle15 November 2007free access Hyperphosphorylated tau in parahippocampal cortex impairs place learning in aged mice expressing wild-type human tau Tetsuya Kimura Tetsuya Kimura Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Shunji Yamashita Shunji Yamashita Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Tetsuya Fukuda Tetsuya Fukuda Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Jun-Mi Park Jun-Mi Park Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Miyuki Murayama Miyuki Murayama Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Tatsuya Mizoroki Tatsuya Mizoroki Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Yuji Yoshiike Yuji Yoshiike Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Naruhiko Sahara Naruhiko Sahara Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Akihiko Takashima Corresponding Author Akihiko Takashima Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Tetsuya Kimura Tetsuya Kimura Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Shunji Yamashita Shunji Yamashita Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Tetsuya Fukuda Tetsuya Fukuda Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Jun-Mi Park Jun-Mi Park Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Miyuki Murayama Miyuki Murayama Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Tatsuya Mizoroki Tatsuya Mizoroki Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Yuji Yoshiike Yuji Yoshiike Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Naruhiko Sahara Naruhiko Sahara Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Akihiko Takashima Corresponding Author Akihiko Takashima Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan Search for more papers by this author Author Information Tetsuya Kimura1, Shunji Yamashita1, Tetsuya Fukuda1, Jun-Mi Park1, Miyuki Murayama1, Tatsuya Mizoroki1, Yuji Yoshiike1, Naruhiko Sahara1 and Akihiko Takashima 1 1Laboratorty for Alzheimer's Disease, RIKEN Brain Science Institute, Wako, Saitama, Japan *Corresponding author. Laboratory for Alzheimer's Disease, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan. Tel: +81 48 467 9627; Fax: +81 48 467 5916; E-mail: [email protected] The EMBO Journal (2007)26:5143-5152https://doi.org/10.1038/sj.emboj.7601917 PDFDownload PDF of article text and main figures. ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InMendeleyWechatReddit Figures & Info To investigate how tau affects neuronal function during neurofibrillary tangle (NFT) formation, we examined the behavior, neural activity, and neuropathology of mice expressing wild-type human tau. Here, we demonstrate that aged (>20 months old) mice display impaired place learning and memory, even though they do not form NFTs or display neuronal loss. However, soluble hyperphosphorylated tau and synapse loss were found in the same regions. Mn-enhanced MRI showed that the activity of the parahippocampal area is strongly correlated with the decline of memory as assessed by the Morris water maze. Taken together, the accumulation of hyperphosphorylated tau and synapse loss in aged mice, leading to inhibition of neural activity in parahippocampal areas, including the entorhinal cortex, may underlie place learning impairment. Thus, the accumulation of hyperphosphorylated tau that occurs before NFT formation in entorhinal cortex may contribute to the memory problems seen in Alzheimer's disease (AD). Introduction Because neurofibrillary tangles (NFTs) are present in various neurodegenerative diseases, including Alzheimer's disease (AD), and are observed in regions that display neuronal loss, NFT formation is thought to be a common mechanism underlying neurodegeneration (Gomez-Isla et al, 1997; Lee et al, 2001; Binder et al, 2005, Iqbal and Grundke-Iqbal, 2005; Takashima, 2006). The occurrence of tau mutations in frontotemporal dementia with parkinsonism-17 (FTDP-17) strongly supports the hypothesis that tau abnormalities induce the NFT formation and neuronal loss that ultimately lead to dementia (Goedert and Spillantini, 2000; Hutton, 2000; Spillantini et al, 2000). Therefore, studying and understanding the mechanisms underlying NFT formation may lead to new strategies for preventing tauopathy-associated dementias. With this thought in mind, researchers have generated transgenic (Tg) mice that express human tau with the FTDP-17 mutation (Gotz et al, 2000, 2001, 2004; Lewis et al, 2000, 2001; Ishihara et al, 2001; Tanemura et al, 2001, 2002; Tatebayashi et al, 2002; Egashira et al, 2005; Lee et al, 2005; Yoshiyama et al, 2005; Murakami et al, 2006). Indeed, these mice display NFTs, neuronal death, and behavioral deficits. Another FTDP-17 mouse model displaying age-related NFTs, neuronal death, and behavioral deficits is the one that overexpresses P301L mutant tau under the regulation of a tetracycline-inducible promoter. Although the inhibition of mutant tau overexpression in these mice blocks neuronal death and improves memory, NFTs continue to form (Santacruz et al, 2005). This suggests that NFTs are not themselves toxic, but instead the mechanism of NFT formation is shared by the process underlying neuronal death and neuronal dysfunction (Ramsden et al, 2005; Santacruz et al, 2005; Spires et al, 2006). The relationship between neuronal loss and memory dysfunction in the P301L mutant tau mouse model remains unclear. Although most mouse models of FTDP-17 mutant tau exhibit NFTs, neuronal loss, and behavioral deficits, one model does not: 12-month-old mice expressing mutant (N279K) tau display behavioral deficits but do not display NFTs and neuronal loss (Taniguchi et al, 2005). These findings suggest that behavioral deficits might occur before NFTs form and neuronal death occurs. These findings raised important questions: which affected brain region is responsible for age-related behavioral deficits? How does neuronal activity in this region vary with age? Which form of tau affects neuronal activity in this region? Expression of FTDP-17 mutant tau in mouse brain indeed affects brain function, inducing behavioral deficits, neuronal loss, and NFT formation, suggesting that FTDP-17 mutant tau might form a specific fibrillar structure that causes these events. However, NFT formation, neuronal loss, and brain dysfunction are seen not only in FTDP-17 but also in AD, other age-related neurodegenerative diseases, and even in normal aging—all conditions not caused by tau mutations. This suggests that wild-type tau may form the same type of structure formed by FTDP-17 mutant tau. Indeed, one group showed that overexpression of wild-type human tau in mice induced NFT-like inclusions and neuronal loss (Ishihara et al, 2001), indicating that wild-type tau could contribute to NFT formation. To understand tau-induced brain dysfunction in neurodegenerative disease and aging, we generated a Tg mouse line expressing wild-type human tau. To determine which brain region's activity is linked to impairment of place learning in this mouse model, we analyzed the relationship between age-dependent tau-induced changes in behavior and the corresponding activity in all brain regions using Mn-enhanced MRI (MEM) methods. Results Aged Tg mice expressing wild-type human 4 repeat tau (Wtau-Tg) exhibit hyperphosphorylated tau but no NFTs and neuronal loss An 8.5 kb portion of the CaMK-II promoter containing upstream control regions and the transcriptional initiation site drives expression postnatally in forebrain neurons (Figure 1A). Western blot analysis using TauN antibody revealed that Wtau-Tg mice expressed human tau in hippocampus, neocortex, striatum, olfactory bulb, and thalamus (Figure 1). Exogenous tau expression was barely detectable in midbrain, cerebellum, and spinal cord. Hippocampus and neocortex showed higher expression levels compared with other regions (Figure 1B, 10-month-old mice). The highest levels of exogenous tau expression were three- to fivefold higher than those of endogenous tau. The pattern of exogenous tau expression was the same in adult (9–13 months old) and aged (20–24 months old) mice. Immunohistochemical analysis using anti-human tau antibody HT7 (Figure 1C) confirmed this regional expression pattern, selectively staining mainly forebrain neurons. Figure 1.Generation of a transgenic mouse expressing wild-type human 2N/4 repeat tau. Expression of wild-type human 4 repeat tau tagged with myc and flag epitopes was regulated by the CAM kinase II promoter (A). The pattern of tau expression in different brain regions was determined by immunoblotting using anti-tauN antibody (B), which recognizes the N-terminus of tau, and by immunohistochemistry using human tau-specific anti-tau antibody HT7 (C). Male and female mice did not exhibit different expression patterns. OB, olfactory bulb; CE, cerebellum; CX, cerebral cortex; EA, entorhinal area; HP, hippocampus; MB, midbrain; MD, medulla; PIR, piriform area; rf, rhinal fissure; SC, spinal cord; ST, striatum; TA, temporal area; TH, thalamus; VA, visual area. Download figure Download PowerPoint In Western blots of Tris-buffered saline (TBS)-soluble fractions derived from the brains of Wtau-Tg mice, immunoreactivity for AT8, AT180, PS262, and PHF1—antibodies that recognize tau phosphorylated at different serines and threonines—were examined. Immunoreactivity for AT180 and PHF1 increased with aging, whereas that for AT8 and PS262 did not change (Figure 2A–F). These results suggest that tau in the brains of Wtau-Tg mice took on additional hyperphosphorylation states with aging. Figure 2.The brains of Wtau-Tg mice form hyperphosphorylated tau but do not form sarcosyl-insoluble tau aggregates. (A–F) Western blots of TBS-soluble fractions from the brain homogenates of 8-month-old (Adult) and 22-month-old (Aged) Wtau-Tg mice. Immunoblots were probed with various tau antibodies: (A) TauN, which recognizes total phosphorylation-independent tau; (B) AT8, which recognizes tau phosphorylated at Ser202 and Ser205; (C) AT180, which recognizes tau phosphorylated at Thr231; (D) PS262, which recognizes tau phosphorylated at Ser262; and (E) PHF1, which recognizes tau phosphorylated at Ser396 and Ser404. Quantitative analysis of immunoreactivity for AT8, AT180, PS262, and PHF1 in adult (n=6) and aged (n=6) Wtau-Tg mice. Immunoreactivity for each phospho-dependent antibody was normalized by that of phospho-independent antibody (TauN). The results are presented as relative intensity of normalized immunoreactivity in Wtau-Tg mouse (F) (*P<0.05; Student's t-test). (G, H) Western blots of TBS-soluble and sarcosyl-insoluble fractions from the brains of non-Tg and Wtau-Tg mice, and 11-month-old mice overexpressing P301L mutant tau (JNPL3) (positive control). Immunoblots were probed with anti-tau antibody JM, which recognizes phosphorylation-independent tau (i.e., total tau). Although the total tau levels in the TBS-soluble fractions were about the same in both types of mice (G). The brains of JNPL3 mice contained sarcosyl-insoluble tau aggregates, as expected, but the brains of aged Wtau-Tg mice did not (H). Download figure Download PowerPoint To examine whether these Tg mice form tau filaments, we purified insoluble tau with sarcosyl detergent and analyzed sarcosyl-insoluble fractions by Western blotting with anti-tau JM antibody. The sarcosyl-insoluble fractions derived from the brains of Wtau-Tg mice did not display positive tau signals (Figure 2H), whereas those derived from the brains of P301L FTDP-17 mutant human tau-expressing mice (JNPL3) (Lewis et al, 2000) exhibited strong anti-tau immunoreactivity, as expected. In TBS-soluble fractions, the overall tau expression levels in Wtau-Tg and female JNPL3 mice were almost the same in both adult and aged groups (Figure 2G). Taken together, these observations indicate that in the brains of Wtau-Tg mice tau became hyperphosphorylated with increasing age, but did not form tau aggregates that were biochemically similar to those comprising NFTs. Furthermore, in brain sections from Wtau-Tg mice stained with the Gallyas method, we did not observe any silver-stained neurons (Supplementary Figure 1B, D). Moreover, the wet weight of brains from Wtau-Tg and non-Tg mice did not differ, nor did neuron counts in the entorhinal and adjacent sensory cortices (Supplementary Figure 1E, F). These are consistent with GFAP immunoreactivity in Wtau-Tg and non-Tg mice, which was indistinguishable (Supplementary Figure 1A, B), because GFAP immunoreactivity reflects neuronal death. In summary, our Wtau-Tg mouse model showed hyperphosphorylation of tau but no NFT formation or neuronal loss. Aged Wtau-Tg mice display impaired place learning To investigate the effects of age-dependent hyperphosphorylated tau on brain function, we assessed place learning in adult and aged non-Tg and Wtau-Tg mice using the Morris water maze. Non-Tg and Wtau-Tg adult mice (9–13 months old) learned at a similar rate, as assessed by error scores (see Materials and methods) (Figure 3A; non-Tg mice, Friedman test, P<0.0001; Wtau-Tg mice, Friedman test, P<0.0001). Both non-Tg and Wtau-Tg mice stayed significantly longer in the target quadrant (Figure 3B; non-Tg mice, Friedman test, P<0.0001; Wtau-Tg mice, Friedman test, P=0.0007). In summary, adult non-Tg and Wtau-Tg mice did not significantly differ in place learning and memory (see two-way ANOVA results in Table I). Figure 3.Impairment of place learning and memory in aged Wtau-Tg mice. The Morris water maze was used to assess place learning and memory of adult (9–13 months old) non-Tg (n=23) and Wtau-Tg (n=14) mice, and aged (20–24 months old) non-Tg (n=12) and Wtau-Tg (n=13) mice. Results expressed as means±s.e.m. Learning is expressed as error scores (A, C), and memory performance is expressed as a percentage of total time spent in the target quadrant during the probe test (B, D); the probe test was given on the 10th day of the experiment (see Materials and methods). Learning curves and memory performance of adult non-Tg and Wtau-Tg mice were not significantly different (A, B). By contrast, aged Wtau-Tg mice took significantly longer than non-Tg mice to learn the task (P<0.0001, F=16.19) (C). Memory performance in aged Wtau-Tg mice was also worse than that of non-Tg mice (P=0.0040, F=4.742) (D). Download figure Download PowerPoint Table 1. Learning speed and learning performance Adult Aged Non-Tg Wtau-Tg Non-Tg Wtau-Tg Adult Non-Tg P=0.219b P=0.444b P<0.001b (n=23) (F=1.493) (F=0.898) (F=10.31) Wtau-Tg P=0.570a P=0.123b P=0.0007b (n=14) (F=0.322) (F=1.971) (F=6.172) Aged Non-Tg P=0.004a P=0.036a P=0.004a (n=12) (F=8.416) (F=4.461) (F=4.742) Wtau-Tg P<0.001a P<0.001a P<0.001a (n=13) (F=57.34) (F=37.53) (F=1.6.19) a Learning speed. b Learning performance. In contrast to the adult mice, aged non-Tg and Wtau-Tg mice (20–24 months old) differed significantly in learning, as assessed by the Morris water maze (Figure 3C; Table I). Error scores for non-Tg mice started to decrease after 4 days of learning, showing a significant reduction over the 9 days of testing (Friedman test, P<0.0001). In Wtau-Tg mice, however, error scores remained more or less constant throughout the entire test period (Friedman test, P=0.0573). In the probe test, the target quadrant search time for aged Wtau-Tg mice was not significantly different from the time spent in the other quadrants (Friedman test, P=0.1040), whereas the aged non-Tg mice spent a significantly longer time searching in the target quadrant (Friedman test, P<0.0001; Figure 3D). Swimming speed (motor control ability) and thigmotaxic tendency (emotional control ability) on the first day of training were not significantly different between non-Tg and Wtau-Tg mice (see Table II, ANOVA results), suggesting that these motor and emotional factors did not account for the group differences in the Morris water maze. Thus, aged Wtau-Tg mice are impaired in place learning and memory. Table 2. Motor and emotional control ability Genotypea Two-way ANOVA results Non-Tg Wtau-Tg Non-Tg Wtau-Tg Speed (cm/s) Adult 13.8±3.2 15.3±2.7 P<0.0001 P=0.2475 Aged 10.6±3.5 11.0±3.0 (F=21.46) (F=1.36) Thigmotaxis (%) Adult 52.7±12.8 58.7±11.6 P<0.0001 P=0.1308 Aged 39.6±15.1 43.6±9.9 (F=18.91) (F=2.35) a Mean±s.e. Analysis of neural activity using Mn-enhanced MRI As manganese (Mn) enters into neurons through calcium channels and accumulates there, positive MR signals can be detected, allowing active regions of the mouse brain during behavior to be sampled with MRI (Wadghiri et al, 2004; Yu et al, 2005). We used MEM to identify which brain regions in aged Wtau-Tg mice are deficient, leading to place learning and memory impairment. After confirming that the MR image reflected activity-dependent Mn incorporation into neurons under our protocol (Supplementary Figure 2), we investigated brain activity during place learning in non-Tg and Wtau-Tg mice. Aged Wtau-Tg mice clearly showed a lower MEM signal in the parahippocampal area in coronal (Figure 4A, C) and horizontal (Figure 4B, D) sections compared to non-Tg mice. To precisely compare neuronal activity in the parahippocampal region among adult and aged non-Tg and Wtau-Tg mice, we prepared flat maps of parahippocampal activity by averaging each regional MR signal of the parahipppocampal area using 4–6 mice (Figure 4E, F; see Materials and methods for details). Adult Wtau-Tg and non-Tg mice showed almost the same pattern of activity on flat map representations. Aged Wtau-Tg mice exhibited reduced activity in perirhinal cortex, postrhinal cortex, and lateral and medial entorhinal cortices, whereas non-Tg mice exhibited the same activity as that of adults. Thus, reduced neural activity in perirhinal and lateral and medial entorhinal cortices of aged Wtau-Tg mice may underlie the place learning and memory deficits we observed. Figure 4.MEM analysis of neural activity in non-Tg and Wtau-Tg mice. (A–D) Coronal (A, C) and horizontal brain sections (B, D) showing neural activity in hippocampal and parahippocampal regions. The horizontal lines in (A) and (C) show the dorsoventral level at which the horizontal views in (B) and (D) were acquired. The relative intensity of MEM signals is shown as color spectrum change by normalizing these intensities by the mean signal intensity in the dorsal striatum. In the Wtau-Tg mouse, the MEM signal in the medial entorhinal cortex was weaker than that in the non-Tg mouse. At this level, signals in the hippocampus (HP) were not noticeably different. (E) Representative two-dimensional flat map (lower panel) of the parahippocampal region of the mouse brain. The yellow, red, and green areas shown on a lateral view of the mouse brain (top panel) correspond to perirhinal (PR), postrhinal (POR), and entorhinal (EC) cortices in the flat map. The map was generated as described in Materials and methods. (F) Four flat maps showing averaged MRI signals from adult (9–13 months old) non-Tg (n=4) and Wtau-Tg (n=5) mice, and aged (20–24 months old) non-Tg (n=6) and Wtau-Tg (n=4) mice. The animals used in this analysis were randomly selected. rf, rhinal fissure; LEC, lateral entorhinal cortex; MEC, medial entorhinal cortex; PIR, piriform cortex; TA, temporal area; VA, visual area. Download figure Download PowerPoint The next question we asked is which region(s) of neural activity correlate best with memory performance in the Morris water maze test? We calculated correlations between neural activity on the flat map and the corresponding index of place memory for each animal. The linear correlation coefficient between each pixel data on the flat map and memory index was calculated for the two aged mice groups (6 non-Tg and 4 Wtau-Tg mice). Figure 5 shows the correlation map for the MEM signal of each pixel and the memory index. Higher correlations were observed for the caudal parahippocampal region. The correlation coefficient (R2) was 0.7089 for the lateral entorhinal cortex, 0.7524 for the medial entorhinal cortex, 0.8000 for the postrhinal cortex, and 0.8301 for the temporal area. The correlation coefficient of neural activity and memory index in visual cortex was less than 0.5, which indicates no significant correlation. Therefore, the reduction of neural activity in the caudal parts of the parahippocampal region—postrhinal cortex, lateral entorhinal cortex, and medial entorhinal cortex—might cause place learning and memory impairment in aged Wtau-Tg mice in the absence of NFT formation. Figure 5.Correlation between regional neural activity and memory performance. (A) Pseudocolored flat map showing the coefficients of determination (R2) of MEM signals in different parahippocampal regions as a function of memory performance score in aged mice. This map is based on flat maps showing the regional distribution of MEM signals during place learning. The red-to-yellow–colored areas in the map represent areas showing significant negative correlation between neural activity and memory performance (P<0.01, Pearson's correlation test). (B) Correlation curves for temporal area (TA), perirhinal area (PR), lateral entorhinal cortex (LEC), and medial entorhinal cortex (MEC). rf, rhinal fissure; PIR, piriform; POR, postrhinal area; VA, visual area. A full colour version of this figure is available at EMBO Journal Online. Download figure Download PowerPoint Aged Wtau-Tg mice display enhanced PHF1-site phosphorylation of tau in layer II of the entorhinal cortex To determine which tau phosphorylation state affects neural activity in the entorhinal cortex of aged mice, we immunostained coronal brain sections with (1) H150, which recognizes phosphorylation-independent human tau (2) AT8, which recognizes phosphorylation of tau at Ser202 and Ser205 and (3) PHF1, which recognizes phosphorylation of tau at Ser396 and Ser404. In adult and aged Wtau-Tg mice, H150 and AT8 immunoreactivity was comparable and observed throughout the forebrain (Figure 6; Supplementary Figure 4 for whole brain). PHF1 immunoreactivity, however, differed between adult and aged mice. In entorhinal cortex, few PHF1-positive neurons were observed in adult mice, but robust PHF1 immunoreactivity, especially in layer II, was observed in aged mice (Supplementary Figure 4 for whole brain). On the other hand, in visual cortex (VA), an area where neural activity and memory performance was uncorrelated, few PHF1-positive neurons were seen in adult and aged mice. AT8 and H150 immunoreactivity was comparable in the VA of both mice. Immunoreactivity of PSD95, a postsynaptic marker, in layer II neurons of entorhinal cortex was clearly reduced in aged Wtau-Tg mice compared with that in adult and aged non-Tg and in adult Wtau-Tg mice (Figure 7A, B). This synapse loss was confirmed by Golgi staining (Figure 7C). In aged Wtau-Tg mice, the number of dendritic spines was reduced compared with that in aged non-Tg mice. These results suggested that layer II neurons of entorhinal cortex exhibited tau hyperphosphorylation and synapse loss with aging. These histochemical findings show that PHF1 immunoreactivity in the entorhinal cortex increased with age, whereas AT8 immunoreactivity did not, suggesting that additional phosphorylation of tau at the PHF1 site might induce neural dysfunction due to synaptic loss that ultimately leads to impaired place learning and memory. Figure 6.Distribution of phosphorylated tau in adult and aged Wtau-Tg mouse brains. Coronal brain sections immunostained with H150, a phosphorylation-independent anti-tau antibody; AT8, an antibody that recognizes tau phosphorylated at Ser202 and Ser205; and PHF1, an antibody that recognizes tau phosphorylated at Ser396 and Ser404 (Supplementary Figure 4). Magnified images of PHF1 immunoreactivity in visual area (VA) and entorhinal cortex (EC) are shown. Download figure Download PowerPoint Figure 7.Synapse loss among layer II entorhinal cortex neurons in aged Wtau-Tg mice. Coronal brain sections immunostained with antibodies against the postsynaptic marker PSD95 in non-Tg (A) and Wtau-Tg (B) mice. L1, layer I of entorhinal cortex; L2, layer II of entorhinal cortex. Left panels contain images of brain sections from adult non-Tg and Wtau-Tg mice; right panels contain images of brain sections from aged non-Tg and Wtau-Tg mice. (C) Golgi staining shows dendritic spines of entorhinal cortical layer II neurons of aged non-Tg (top panel) and aged Wtau-Tg (bottom panel) mice. Download figure Download PowerPoint To compare neural activity with PHF1 immunoreactivity in brain regions that corresponded to memory impairment, we generated two-dimensional flat maps showing the distribution and intensity of PHF1 immunoreactivity and compared these maps to maps showing neural activity as a function of memory index (Figure 8). The distribution of PHF1 immunoreactivity in parahippocampal regions corresponded to areas of increased memory impairment. The elevated phosphorylation of tau at the PHF1 epitope may underlie the age-dependent memory impairment we observed in Wtau-Tg mice. Thus, hyperphosphorylated tau, including tau phosphorylated at AT8 and PHF1 sites, but not insoluble tau, may cause tau-induced neural dysfunction in the entorhinal cortex, ultimately leading to impaired place learning and memory. Figure 8.Parahippocampal cortical flat maps showing the distribution and intensity of PHF1 immunoreactivity (left) and MRI signal intensity as a function of memory performance (right). PHF1-immunostaining intensity in the parahippocampal region was normalized by PHF1-immunostaining intensity in either the parietal or visual areas in each section. The map in the right panel was reproduced from Figure 5. It shows the distribution of significant correlation between neural activity and memory index. rf, rhinal fissure; LEC, lateral entorhinal cortex; MEA, medial entorhinal cortex; PIR, piriform cortex; POR, postrhinal cortex; PR, perirhinal cortex; VA, visual area. Download figure Download PowerPoint Discussion One goal of AD research is to determine the cause of memory deficits and dementia. Today, many AD animal models exist that exhibit β-amyloid deposition and/or NFT formation. Some of these models show memory impairments (Chapman et al, 1999; Chen et al, 2000; Lalonde et al, 2002; Tanemura et al, 2002; Tatebayashi et al, 2002; Oddo et al, 2003; Van Dam et al, 2003; Santacruz et al, 2005). However, the mechanisms underlying memory impairment associated with NFT formation and/or β-amyloid deposition remain unclear. In the present study, MEM clearly indicates that in Wtau-Tg mice reduced neural activity in the entorhinal cortex correlates well with the memory index. In the entorhinal cortex, tau was highly phosphorylated, at least at the AT8- and PHF1-immunoreactive sites, but insoluble tau aggregates did not form. Thus, our results suggest that hyperphosphorylated tau, but not insoluble tau, might affect neural activity. Although endogenous tau-deficient mice expressing six isoforms of human wild-type tau form NFTs and show NFT-like pathology (Andorfer et al, 2005), our mice, which express the longest form of human wild-type tau, did not show NFT-like pathology. One possible explanation for these two disparate observations is that the mice in the study by Andorfer et al (2005) did not express endogenous mouse tau, whereas our mice did. Thus, endogenous tau may have inhibited the formation of NFT-like pathology in Wtau-Tg mouse brains. Tau in AD is abnormally hyperphosphorylated at over 30 sites. A recent study has shown Thr231 (AT180 site) and Ser262 (PS262) to be among the major pathogenic phosphorylation sites (Wang et al, 2007). We examined tau phosphorylation in Wtau-Tg mice (Supplementary Figure 5) and found that 14 tau phosphorylation sites showed positive signals. Therefore, most sites on tau were phosphorylated in Wtau-Tg mice. Quantitative analysis of tau phosphorylation indicated that phosphorylation of the PHF1 and Thr231 (AT180) sites increased with aging, but phosphorylation of the
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