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Research Article

An Intracellular Threonine of Amyloid-β Precursor Protein Mediates Synaptic Plasticity Deficits and Memory Loss

  • Franco Lombino,

    Affiliation: Department of Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, New York, United States of America

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  • Fabrizio Biundo,

    Affiliation: Department of Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, New York, United States of America

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  • Robert Tamayev,

    Affiliation: Department of Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, New York, United States of America

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  • Ottavio Arancio,

    Affiliation: Department of Pathology & Cell Biology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University, New York, New York, United States of America

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  • Luciano D’Adamio mail

    luciano.dadamio@einstein.yu.edu

    Affiliation: Department of Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, New York, United States of America

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  • Published: February 22, 2013
  • DOI: 10.1371/journal.pone.0057120

Abstract

Mutations in Amyloid-ß Precursor Protein (APP) and BRI2/ITM2b genes cause Familial Alzheimer and Danish Dementias (FAD/FDD), respectively. APP processing by BACE1, which is inhibited by BRI2, yields sAPPß and ß-CTF. ß-CTF is cleaved by gamma-secretase to produce Aß. A knock-in mouse model of FDD, called FDDKI, shows deficits in memory and synaptic plasticity, which can be attributed to sAPPß/ß-CTF but not Aß. We have investigated further the pathogenic function of ß-CTF focusing on Thr668 of ß-CTF because phosphorylation of Thr668 is increased in AD cases. We created a knock-in mouse bearing a Thr668Ala mutation (APPTA mice) that prevents phosphorylation at this site. This mutation prevents the development of memory and synaptic plasticity deficits in FDDKI mice. These data are consistent with a role for the carboxyl-terminal APP domain in the pathogenesis of dementia and suggest that averting the noxious role of Thr668 is a viable therapeutic strategy for human dementias.

Introduction

Familial dementias are caused by mutations in APP [1] and genes that regulate APP processing. These include the PSEN1/2 genes, which code for the catalytic component of the gamma-secretase, and the BRI2/ITM2b gene, whose protein product BRI2 binds APP and inhibits APP processing [1][8]. Cases caused by APP/PSEN mutations are classified as FAD and those caused by mutations in BRI2/ITM2b as FDD or Familial British dementia (FBD). The prevailing pathogenic model for these dementias posits that amyloid peptides trigger dementia. In AD, the amyloid peptide Aß is a part of APP; in FDD and FBD, the amyloidogenic peptides, called ADan and ABri respectively, are generated from the mutant BRI2 proteins [2], [8]. FDD patients present mixed amyloid plaques containing both Aβ and ADan. However, recent data suggest that these dementias share pathogenic mechanisms involving synaptic-toxic APP metabolites distinct from Aβ [9], [10].

In FDD, a 10-nucleotide duplication in the BRI2/ITM2B gene leads to the synthesis of a longer BRI2 protein [8]. In normal individuals, BRI2 is synthesized as an immature type-II membrane protein (imBRI2) that is cleaved at the C-terminus into mature BRI2 and a 23aa soluble C-terminal fragment [11]. In FDD patients, cleavage of the BRI2 mutant protein leads to the release of the longer ADan peptide [8]. To model FDD we generated FDDKI mice that like FDD patients [8], carry one wild type Bri2/Itm2b allele and the other one has the Danish mutation [12]. FDDKI mice develop synaptic and memory deficits due to loss of Bri2 protein, but do not develop amyloidosis [13]. BRI2 binds to APP and inhibits cleavage of APP by secretases [4][7]. Owing to the loss of BRI2, processing of APP is increased in FDD [14], [15]. Memory and synaptic deficits of FDDKI mice require APP [14], and are mediated by sAPPß and/or ß-CTF produced during synaptic plasticity and memory acquisition. Inhibition of γ-secretase, the enzyme that processes β-CTF to yield Aß, worsens memory deficits and is associated with an accumulation of ß-CTF [10], [16], [17]. In addition, caspase-9 in activated in FDDKI mice and caspase-9 activity mediates memory/synaptic plasticity deficits [18]. Overall, these results suggest that ß-CTF, rather than Aß, is a major toxic species causing dementia. Here, we have investigated further the pathogenic role of the carboxyl-terminal region of APP and especially the role of residue Thr668.

Results

Thr668 of APP Mediates Object Recognition Deficits found in FDDKI Mice

Recent findings suggest that products of BACE1-processing of APP (predominantly ß-CTF) trigger several pathological features related to human dementias both in a mouse model of FDD [10], [16] and human neurons derived from familial and sporadic AD [9]. Thus, we decided to probe in more details the pathogenic function of the carboxyl-terminal region of APP, focusing on the intracellular Thr668 residue (following the numbering of the APP695 isoform). The phosphorylation status of Thr668 either creates or destroys docking sites for intracellular proteins that interact with APP [19][22]. In addition, phosphorylation at Thr668 is increased in AD cases [23] suggesting potential pathogenic implications. We generated mice expressing APP with a Thr668Ala mutation, called APPTA [24]. Western blot analysis of hippocampal synaptosomes from either APPWT/WT or APPTA/TA mice shows that the Thr668Ala mutation abolishes phosphorylation at Thr668 (Figure 1a).

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Figure 1. A Thr668Ala mutation on APP prevents the object recognition memory deficit of FDDKI mice.

(a) Western blot analysis of hippocampal synaptosomal preparations shown that the Thr to Ala mutation abolishes phosphorylation of Thr668 (APPpThr668). Interestingly, only the mature form of APP (mAPP) and not the immature (imAPP), is found phosphorylated on this Thr in hippocampal synaptic fractions of WT mice. (b and c) Open field is a sensorimotor test for habituation, exploratory, emotional behavior, and anxiety-like behavior, in novel environments. The percent of time in the center (b) and the number of entries into the center (c) are indicators of anxiety levels. The more the mouse enters the center and explores it, the lower the level of anxiety-like behavior. Since the FDDKI, FDDKI/APPTA/TA, FDDKI/APPTA/WT, APPTA/TA, APPTA/WT mice are similar to the WT animals there is no deficit or excess of anxiety. (d) All six genotypes (WT, FDDKI, FDDKI/APPTA/TA, FDDKI/APPTA/WT, APPTA/TA, APPTA/WT) mice spent similar amounts of time exploring the two identical objects on day 1. (e) FDDKI/APPTA/TA and FDDKI/APPTA/WT mice behaved similarly to WT mice and prevented the deficit in the NOR tests found in FDDKI mice at 6 months of age (FDDKI versus FDDKI/APPTA/TA P = 0.011; FDDKI versus FDDKI/APPTA/WT P = 0.0083; FDDKI versus WT P<0.001), (f) 9 months of age (FDDKI versus FDDKI/APPTA/TA P = 0.01; FDDKI versus FDDKI/APPTA/WT P = 0.347; FDDKI versus WT P = 0.000995), and (g) 12 months of age (FDDKI versus FDDKI/APPTA/TA P = 0.0003; FDDKI versus FDDKI/APPTA/WT P = 0.0002; FDDKI versus WT P<0.0001). Thus the APPTA point mutation prevented the novel object recognition deficit of FDDKI mice.

doi:10.1371/journal.pone.0057120.g001

Thus, the APPTA mice are an ideal genetic tool to study the role of Thr668 and its phosphorylation in the pathogenesis of dementia. To this end, we utilized FDDKI mice, which develop severe aging-dependent memory and synaptic plasticity deficits that first become measurable at ~5 months of age [13]. Most importantly, these deficits are prevented when FDDKI mice lack one allele of APP, reducing the APP protein load [14], and require production of APP ß-CTF [10], [16]. Thus, since memory and synaptic deficits of FDDKI mice are dependent on endogenous APP, we can test the pathogenic role of Thr668 by introducing this APP mutation on the FDDKI background.

By crossing FDDKI/APPTA/WT to APPTA/WT mice we generated littermates of the following 6 genotypes: WT, FDDKI, FDDKI/APPTA/TA, FDDKI/APPTA/WT, APPTA/TA and APPTA/WT. To test memory, six-month-old mice were subjected to the novel object recognition (NOR) task, which is a non-aversive task that relies on the mouse’s natural exploratory behavior. Open field studies showed that FDDKI, FDDKI/APPTA/TA, FDDKI/APPTA/WT, APPTA/TA and APPTA/WT mice have no defects in habituation and locomotor behavior, sedation, risk assessment and anxiety-like behavior in novel environments (Figure 1b and c). During the training session, mice of all genotypes spent the same amount of time exploring the two identical objects during the training phase (Figure 1d). The following day, when a novel object was introduced, FDDKI spent the same amount of time exploring the two objects as if they were both novel to them, while the WT, APPTA/TA, and APPTA/WT mice still spent more time exploring the novel object (Figure 1e). Notably, FDDKI/APPTA/TA and FDDKI/APPTA/WT mice behaved like the WT mice and explored preferentially the novel object (Figure 1e), demonstrating a prevention of the defect of the FDDKI mice. We subjected the mice to the NOR task at 9 months, and also at 12 months to confirm that this is a true prevention of deficits and not a delay. We found similar data to the data at 6 months with the FDDKI mice showing no preference between the two objects on the second day, while the FDDKI/APPTA/TA, FDDKI/APPTA/WT, APPTA/TA, APPTA/WT mice all behaved similar to the WT mice (Figure 1f and 1g). These data confirm that memory is impaired in FDDKI mice upon aging in an ethologically relevant, non-aversive behavioral context; remarkably, development of this deficit is fully prevented by changing the Thr668 residue on the intracellular region of APP to an Alanine.

Thr668 of APP Mediates Short-term Memory Deficits Found in FDDKI Mice

To further test memory, WT, FDDKI, FDDKI/APPTA/TA, FDDKI/APPTA/WT, APPTA/TA, APPTA/WT mice were subjected at 5.5 months of age to the radial arm water maze (RAWM) task, a spatial working memory test that depends upon hippocampal function [25]. This task tests short-term memory, which is the memory affected in early stages of AD. The six genotypes were required to learn and memorize the location of a hidden platform in one of the arms of a maze with respect to spatial cues. WT, APPTA/TA, and APPTA/WT mice were able to acquire (A) and retain (R) memory of the task. FDDKI mice showed severe abnormalities during both acquisition and retention of the task (Figure 2a), confirming that FDDKI mice have severe impairment in short-term spatial memory for platform location during both acquisition and retention of the task. This defect was due to a deficit in memory per se and not to deficits in vision, motor coordination or motivation because testing with the visible platform showed no difference in the swimming speed and the time needed to find the platform between the FDDKI and WT mice (Figure 2c and d). Both the FDDKI/APPTA/TA and the FDDKI/APPTA/WT mice showed no defects in the memory test (Figure 2a), showing that mutating the intracellular APP residue Thr668 to an alanine prevented the RAWM deficit of FDDKI mice, and confirming the data seen in NOR. To ensure that this was not simply a delay of the deficit, the mice were re-tested at 9 months in the RAWM task, and once again the FDDKI/APPTA/TA and the FDDKI/APPTA/WT mice did not show the deficit seen in the FDDKI mice (Figure 2b).

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Figure 2. A Thr668Ala mutation on APP prevents the short-term memory deficit of FDDKI mice.

(a and b) In RAWM testing, FDDKI/APPTA/TA, FDDKI/APPTA/WT, APPTA/TA, APPTA/WT mice made the same number of errors as WT mice at both 5.5 months and 9 months of age. At 5.5 months of age, FDDKI mice made significantly more errors at A4 (versus FDDKI/APPTA/TA P = 0.0007; versus FDDKI/APPTA/WT P = 0.0028; versus WT P = 0.0005) and R (versus FDDKI/APPTA/TA P = 0.0017; versus FDDKI/APPTA/WT P = 0.0005; versus WT P = 0.0005) (a). Similar results are found at 9 months of age; FDDKI mice made significantly more errors at A4 (versus FDDKI/APPTA/TA P = 0.0004; versus FDDKI/APPTA/WT P = 0.019; versus WT P = 0.0003) and R (versus FDDKI/APPTA/TA P = 0.0006; versus FDDKI/APPTA/WT P = 0.004; versus WT P<0.0001). Thus, the APPTA/TA and APPTA/WT point mutations prevent the development of working memory deficits in FDDKI mice (b). (c and d) WT, FDDKI, FDDKI/APPTA/TA, FDDKI/APPTA/WT, APPTA/TA and APPTA/WT mice have similar speed (c) and need similar time (d) to reach a visible platform.

doi:10.1371/journal.pone.0057120.g002

Thr668 of APP Mediates Synaptic Deficits Found in FDDKI Mice

The FDDKI mice have compromised long-term potentiation (LTP) [13], a long-lasting form of synaptic plasticity that is thought to be associated with learning and memory. Like for memory, the LTP deficit of FDDKI mice are prevented when APP protein levels are halved [14], and by inhibiting processing of APP by BACE1 (also known as β-secretase) [10], [16]. Thus, we tested if this one amino acid change in APP could also prevent the synaptic plasticity defect found in the FDDKI mice. To this end, we investigated synaptic transmission and plasticity using the Schaeffer collateral pathway in hippocampal slices from WT, APPTA/TA, FDDKI and FDDKI/APPTA/TA mice. As expected, LTP was reduced in FDDKI mice compared with WT littermates (Figure 3). Strikingly, the APPTA/TA point mutation prevented LTP impairments in FDDKI mice (Figure 3). Taken together, these findings provide compelling genetic evidence that APP and BRI2 functionally interact, and that the synaptic and memory deficiencies due to loss of Bri2 function require the APP intracellular residue Thr668.

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Figure 3. A Thr668Ala mutation on APP prevents the synaptic deficits of FDDKI mice.

Normal LTP in FDDKI/APPTA/TA and APPTA/TA compared with WT mice by two-way ANOVA (FDDKI/APPTA/TA versus WT mice: F(1,12) = 1.936; P = 0.187; APPTA/TA versus WT F(1,12) = 0.989; P = 0.338). Two-way ANOVA shows impaired LTP in FDDKI mice when compared with WT (F(1,13) = 15.125; P = 0.002), to FDDKI/APPTA/TA (F(1,13) = 12.759; P = 0.004) or to APPTA/TA mice littermates (F(1,13) = 22.396; P<0.0001).

doi:10.1371/journal.pone.0057120.g003

Discussion

In this manuscript, we have pinpointed an intracellular residue of APP that is required for memory and synaptic plasticity deficits. FDDKI mice allow for a genetic analysis of pathogenic pathways on a genetic background that is congruous to the human disease. We showed that haplodeficiency in APP prevented all FDDKI mice’s deficits at all ages. Now we take this further by showing that mutation in just one residue of APP, the intracellular amino acid Thr668, can also prevent the memory and synaptic deficits.

We studied the functional relevance of Thr668 of APP because APPpThr668 is enriched in AD patients [23], suggesting a pathogenic role for phosphorylation at this residue, and because it has profound effects on APP protein/protein interactions and APP biology. For example, Thr668 phosphorylation impairs APP/Fe65 interaction [20], [21] but promotes Pin1 binding [22]. In addition, this phosphorylation regulates trafficking of APP and APP derived metabolites [26]. Previous studies in mice suggested a protective role for phosphorylation of Thr668 in the pathogenesis of AD by showing that Pin1 decreases APP processing and Aß production by binding APP phosphorylated on Thr668 [27]. However, analysis of the APPTA mice has shown that preventing phosphorylation by mutating Thr668 into an Ala does not change Aß levels in vivo [28], [29].

If Aß were a major neuro-toxic peptide in dementia, FDDKI/APPTA/TA mice should either have deficits comparable to FDDKI mice based on the evidence that the Thr668Ala mutation does not change Aß levels [28], [29], or should present with a worsened phenotype based on the hypothesis that binding of Pin1 to APPpThr668 reduces Aß levels [27]. Instead, we have found that the Thr668Ala mutation on one or both alleles of APP prevents all the memory and synaptic deficits found in the FDDKI mice. This is seen in a short-term memory test, such as the RAWM task, and also in an ethologically relevant, non-aversive behavioral context, such as the NOR task. The memory deficits were prevented at their start and no deficits could be found even as late as 9–12 months of age. The same was true for the synaptic plasticity at 12 months old. The FDDKI mice show strong synaptic defects in the Schaffer collateral pathway, however, FDDKI/APPTA/TA the mice showed no such deficits.

In this context, it is worth noting that mutation of another phosphorylated amino acid present in the APP intracellular region, namely Tyr682, results in a different (almost opposite) phenotype. This tyrosine is comprised in the intracellular 682YENPTY687 sequence of APP, a docking region for numerous APP-binding proteins that regulate processing and functions of APP [19], [30][35]. Phosphorylation of Tyr682 is consequential. Some proteins, such as Grb2 [36], Shc [37], [38], Grb7 and Crk [39] interact with APP only when Tyr682 is phosphorylated; others, like Fe65, Fe65L1 and Fe65L2 only when this tyrosine is not phosphorylated [40], suggesting that phosphorylation–dephosphorylation on Tyr682 modulates APP functions. To test the in vivo function of Tyr682 we have created mice with Tyr682 replaced by a Gly. This knock-in mutation alters the function of APP in memory formation, development/aging [41], [42] and changes APP processing, leading to a significant decrease in Aß levels [29]. Thus, while the Thr668Ala mutation on APP, which does not reduce Aß production, prevents memory deficits of FDDKI mice, the Tyr682Gly mutation, which reduces Aß production, causes cognitive defects on its own [41]. These data show that the intracellular region of APP has a fundamental role in memory formation, a role that is not linked to Aß.

New evidence points to β-derived metabolites of APP, especially ß-CTF, as the synaptic-toxic APP fragments mediating synaptic and memory impairments. The data presented here suggest that the synaptic-toxic activity of ß-CTF requires Thr668 (Figure 4a–c). It is possible that this synaptic-toxic activity necessitates or is enhanced by phosphorylation of Thr668 (Figure 4d–f), which is abolished by the Thr668Ala mutation. It is interesting to note that this mutation does not alter essential biological functions of APP during development [24], suggesting that targeting the role of Thr668, and perhaps its phosphorylation, in dementia may be an effective and safe therapeutic approach to dementias. Since the APPTA mutation prevents memory and synaptic deficits in heterozygosis, a partial reduction of the noxious pathogenic functions mediated by Thr668 will be therapeutically efficient.

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Figure 4. Model depicting the mechanisms by which Thr668 may lead to memory and synaptic plasticity deficits.

(a and b), Due to loss of BRI2 protein, APP processing is increased during synaptic transmission and memory acquisition in FDD leading to increased production of ß-CTF. This event compromises synaptic plasticity and memory acquisition leading to memory deficits. (c), Thr668 is essential for the pathogenic role of ß-CTF, as shown by the evidence that mutating this residue into an Ala prevents development of memory/synaptic deficits. (d–f), Phosphorylation of Thr668 may be required or facilitate the synaptic-toxic role of ß-CTF, since the Thr668Ala mutation prevents phosphorylation.

doi:10.1371/journal.pone.0057120.g004

Methods

Mouse Handling

The animals used for these studies were backcrossed to C57Bl6/J mice for at least 14 generations. Mice were handled according to the Ethical Guidelines for Treatment of Laboratory Animals of Albert Einstein College of Medicine. The procedures were described and approved in animal protocol number 200404. The Institutional Animal Care and Use Committee (IACUC) approved this protocol. IACUC is a federally mandated committee that oversees all aspects of the institution’s animal care and use program, facilities and procedures. The regulations of the USDA and PHS require institutions using animals to appoint an IACUC. The members of the IACUC are appointed by the Dean of Albert Einstein College of Medicine of Yeshiva University (Einstein).

Synaptosomes Preparations

Hippocampi were homogenized in H buffer [5 mM Hepes/NaOH pH 7.4, 1 mM EDTA, 1 mM EGTA, 0.32 M sucrose, plus phosphatase/protease inhibitors at 10% (w/v) and centrifuged at 800 g for 10 min. The supernatant (S1) was separated to supernatant (S2) and pellet (P2) by spinning at 9,200 g for 15 min. P2 represents crude synaptosomal fraction.

Antibodies

The following antibodies were used: anti-APP (Chemicon), anti-APP-CTF (Invitrogen), anti-APPpThr668 and : anti-Akt (Cell Signaling). Secondary antibodies conjugated with horse-radish-peroxidase are from Southern Biotechnology.

Electrophysiology and Behavior

Only male mice were used to avoid variations due to hormonal fluctuations during the estrous female cycle, which influence severely behavioral and electrophysiological tests.

Spatial Working Memory

A six-armed maze was placed into white tank filled with water (24–25°C) and made opaque by the addition of nontoxic white paint. Spatial cues were presented on the walls of the testing room. At the end of one of the arms was positioned a clear 10 cm submerged platform that remained in the same location for every trial in 1 d but was moved approximately randomly from day to day. On each trial, the mouse started the task from a different randomly chosen arm. Each trial lasted 1 min, and errors were counted each time the mouse entered the wrong arm or needed more than 10 s to reach the platform. After each error, the mouse was pulled back to its starting position. After four consecutive acquisition trials, the mouse was placed in its home cage for 30 min, then returned to the maze and administered a fifth retention trial. The scores for each mouse on the last 3 days of testing were averaged and used for statistical analysis.

Visible Platform Testing

Visible platform training to test visual and motor deficits was performed in the same pool as in the RAWM; however, the arms of the maze were removed. The platform was marked with a black flag and positioned randomly from trial to trial. Time to reach the platform and speed were recorded with a video tracking system (HVS 2020; HVS Image).

Open Field and Novel Object Recognition

After 30 min to acclimate to the testing room, each mouse was placed into a 40 cm×40 cm open field chamber with 2 ft high opaque walls. Each mouse was allowed to habituate to the normal open field box for 10 min, and repeated again 24 hours later, in which the video tracking system (HVS 2020; HVS Image) quantifies the number of entries into and time spent in the center of the locomotor arena. Novel object recognition was performed as previously described [43]. Results were recorded as an object discrimination ratio (ODR), which is calculated by dividing the time the mice spent exploring the novel object, divided by the total amount of time exploring the two objects.

Electrophysiology

Transverse hippocampal slices (400 µm) were transferred to a recording chamber where they were maintained at 29°C and perfused with artificial cerebrospinal fluid (ACSF) continuously bubbled with 95% O2 and 5% CO2. The ACSF composition in mM was: 124 NaCl, 4.4 KCl, 1 Na2HPO4, 25 NaHCO3, 2 CaCl2, 2 MgSO4, and 10 glucose. CA1 field-excitatory-post-synaptic potentials (fEPSPs) were recorded by placing both the stimulating and the recording electrodes in CA1 stratum radiatum. For LTP experiments, a 30 min baseline was recorded every minute at an intensity that evoked a response approximately 35% of the maximum evoked response. LTP was induced using a teta-burst stimulation (four pulses at 100 Hz, with bursts repeated at 5 Hz and each tetanus including one ten-burst train). Responses were recorded for 90 min after tetanization and plotted as percentage of baseline fEPSP slope.

Statistical Analysis

All data are shown as mean ± s.e.m. Experiments were performed in blind. Statistical tests included two-way ANOVA for repeated measures and t-test when appropriate.

Acknowledgments

We thank Alessia P.M. Barbagallo for technical help.

Author Contributions

Conceived and designed the experiments: LD. Performed the experiments: LD FL FB RT. Analyzed the data: LD FL FB RT. Contributed reagents/materials/analysis tools: OA. Wrote the paper: LD.

References

  1. 1. Bertram L, Lill CM, Tanzi RE (2010) The genetics of Alzheimer disease: back to the future. Neuron 68: 270–281.
  2. 2. Vidal R, Frangione B, Rostagno A, Mead S, Revesz T, et al. (1999) A stop-codon mutation in the BRI gene associated with familial British dementia. Nature 399: 776–781.
  3. 3. St George-Hyslop PH, Petit A (2005) Molecular biology and genetics of Alzheimer’s disease. C R Biol 328: 119–130.
  4. 4. Matsuda S, Giliberto L, Matsuda Y, Davies P, McGowan E, et al. (2005) The familial dementia BRI2 gene binds the Alzheimer gene amyloid-beta precursor protein and inhibits amyloid-beta production. J Biol Chem 280: 28912–28916.
  5. 5. Fotinopoulou A, Tsachaki M, Vlavaki M, Poulopoulos A, Rostagno A, et al. (2005) BRI2 interacts with amyloid precursor protein (APP) and regulates amyloid beta (Abeta) production. J Biol Chem 280: 30768–30772.
  6. 6. Matsuda S, Matsuda Y, Snapp EL, D’Adamio L (2011) Maturation of BRI2 generates a specific inhibitor that reduces APP processing at the plasma membrane and in endocytic vesicles. Neurobiol Aging 32: 1400–1408.
  7. 7. Matsuda S, Giliberto L, Matsuda Y, McGowan EM, D’Adamio L (2008) BRI2 inhibits amyloid beta-peptide precursor protein processing by interfering with the docking of secretases to the substrate. J Neurosci 28: 8668–8676.
  8. 8. Vidal R, Revesz T, Rostagno A, Kim E, Holton JL, et al. (2000) A decamer duplication in the 3′ region of the BRI gene originates an amyloid peptide that is associated with dementia in a Danish kindred. Proc Natl Acad Sci U S A 97: 4920–4925.
  9. 9. Israel MA, Yuan SH, Bardy C, Reyna SM, Mu Y, et al. (2012) Probing sporadic and familial Alzheimer’s disease using induced pluripotent stem cells. Nature 482: 216–220.
  10. 10. Tamayev R, Matsuda S, Arancio O, D’Adamio L (2012) beta- but not gamma-secretase proteolysis of APP causes synaptic and memory deficits in a mouse model of dementia. EMBO Mol Med 4: 171–179.
  11. 11. Garringer HJ, Murrell J, D’Adamio L, Ghetti B, Vidal R (2009) Modeling familial British and Danish dementia. Brain Struct Funct.
  12. 12. Giliberto L, Matsuda S, Vidal R, D’Adamio L (2009) Generation and Initial Characterization of FDD Knock In Mice. PLoS One 4: e7900.
  13. 13. Tamayev R, Matsuda S, Fa M, Arancio O, D’Adamio L (2010) Danish dementia mice suggest that loss of function and not the amyloid cascade causes synaptic plasticity and memory deficits. Proc Natl Acad Sci U S A 107: 20822–20827.
  14. 14. Tamayev R, Matsuda S, Giliberto L, Arancio O, D’Adamio L (2011) APP heterozygosity averts memory deficit in knockin mice expressing the Danish dementia BRI2 mutant. EMBO J 30: 2501–2509.
  15. 15. Matsuda S, Tamayev R, D’Adamio L (2011) Increased AbetaPP processing in familial Danish dementia patients. J Alzheimers Dis 27: 385–391.
  16. 16. Tamayev R, Matsuda S, D’Adamio L (2012) beta - but not gamma-secretase proteolysis of APP causes synaptic and memory deficits in a mouse model of dementia. Mol Neurodegener 7 Suppl 1L9.
  17. 17. Tamayev R, D’Adamio L (2012) Inhibition of gamma-secretase worsens memory deficits in a genetically congruous mouse model of Danish dementia. Mol Neurodegener 7: 19.
  18. 18. Tamayev R, Akpan N, Arancio O, Troy CM, L DA (2012) Caspase-9 mediates synaptic plasticity and memory deficits of Danish dementia knock-in mice: caspase-9 inhibition provides therapeutic protection. Mol Neurodegener 7: 60.
  19. 19. Scheinfeld MH, Ghersi E, Davies P, D’Adamio L (2003) Amyloid beta protein precursor is phosphorylated by JNK-1 independent of, yet facilitated by, JNK-interacting protein (JIP)-1. J Biol Chem 278: 42058–42063.
  20. 20. Ando K, Iijima KI, Elliott JI, Kirino Y, Suzuki T (2001) Phosphorylation-dependent regulation of the interaction of amyloid precursor protein with Fe65 affects the production of beta-amyloid. J Biol Chem 276: 40353–40361.
  21. 21. Tamayev R, Zhou D, D’Adamio L (2009) The interactome of the Amyloid betaeta Precursor Protein family members is shaped by phosphorylation of their intracellular domains. Mol Neurodegener 4: 28.
  22. 22. Balastik M, Lim J, Pastorino L, Lu KP (2007) Pin1 in Alzheimer’s disease: multiple substrates, one regulatory mechanism? Biochim Biophys Acta 1772: 422–429.
  23. 23. Shin RW, Ogino K, Shimabuku A, Taki T, Nakashima H, et al. (2007) Amyloid precursor protein cytoplasmic domain with phospho-Thr668 accumulates in Alzheimer’s disease and its transgenic models: a role to mediate interaction of Abeta and tau. Acta Neuropathol 113: 627–636.
  24. 24. Barbagallo AP, Wang Z, Zheng H, D’Adamio L (2011) The intracellular threonine of amyloid precursor protein that is essential for docking of Pin1 is dispensable for developmental function. PLoS One 6: e18006.
  25. 25. Diamond DM, Park CR, Heman KL, Rose GM (1999) Exposing rats to a predator impairs spatial working memory in the radial arm water maze. Hippocampus 9: 542–552.
  26. 26. Matsushima T, Saito Y, Elliott JI, Iijima-Ando K, Nishimura M, et al. (2012) Membrane-microdomain localization of amyloid beta-precursor protein (APP) C-terminal fragments is regulated by phosphorylation of the cytoplasmic Thr668 residue. J Biol Chem 287: 19715–19724.
  27. 27. Pastorino L, Sun A, Lu PJ, Zhou XZ, Balastik M, et al. (2006) The prolyl isomerase Pin1 regulates amyloid precursor protein processing and amyloid-beta production. Nature 440: 528–534.
  28. 28. Sano Y, Nakaya T, Pedrini S, Takeda S, Iijima-Ando K, et al. (2006) Physiological mouse brain Abeta levels are not related to the phosphorylation state of threonine-668 of Alzheimer’s APP. PLoS ONE 1: e51.
  29. 29. Barbagallo AP, Weldon R, Tamayev R, Zhou D, Giliberto L, et al. (2010) Tyr682 in the Intracellular Domain of APP Regulates Amyloidogenic APP Processing In Vivo. PLoS One 5: e15503.
  30. 30. Vitale M, Renzone G, Matsuda S, Scaloni A, D’Adamio L, et al. (2012) Proteomic characterization of a mouse model of familial Danish dementia. J Biomed Biotechnol 2012: 728178.
  31. 31. Scheinfeld MH, Matsuda S, D’Adamio L (2003) JNK-interacting protein-1 promotes transcription of A beta protein precursor but not A beta precursor-like proteins, mechanistically different than Fe65. Proc Natl Acad Sci U S A 100: 1729–1734.
  32. 32. Scheinfeld MH, Roncarati R, Vito P, Lopez PA, Abdallah M, et al. (2002) Jun NH2-terminal kinase (JNK) interacting protein 1 (JIP1) binds the cytoplasmic domain of the Alzheimer’s beta-amyloid precursor protein (APP). J Biol Chem 277: 3767–3775.
  33. 33. Roncarati R, Sestan N, Scheinfeld MH, Berechid BE, Lopez PA, et al. (2002) The gamma-secretase-generated intracellular domain of beta-amyloid precursor protein binds Numb and inhibits Notch signaling. Proc Natl Acad Sci U S A 99: 7102–7107.
  34. 34. Matsuda S, Matsuda Y, D’Adamio L (2003) Amyloid beta protein precursor (AbetaPP), but not AbetaPP-like protein 2, is bridged to the kinesin light chain by the scaffold protein JNK-interacting protein 1. J Biol Chem 278: 38601–38606.
  35. 35. D’Ambrosio C, Arena S, Fulcoli G, Scheinfeld MH, Zhou D, et al. (2006) Hyperphosphorylation of JNK-interacting protein 1, a protein associated with Alzheimer disease. Mol Cell Proteomics 5: 97–113.
  36. 36. Zhou D, Noviello C, D’Ambrosio C, Scaloni A, D’Adamio L (2004) Growth factor receptor-bound protein 2 interaction with the tyrosine-phosphorylated tail of amyloid beta precursor protein is mediated by its Src homology 2 domain. J Biol Chem 279: 25374–25380.
  37. 37. Tarr PE, Roncarati R, Pelicci G, Pelicci PG, D’Adamio L (2002) Tyrosine phosphorylation of the beta-amyloid precursor protein cytoplasmic tail promotes interaction with Shc. J Biol Chem 277: 16798–16804.
  38. 38. Russo C, Dolcini V, Salis S, Venezia V, Zambrano N, et al. (2002) Signal transduction through tyrosine-phosphorylated C-terminal fragments of amyloid precursor protein via an enhanced interaction with Shc/Grb2 adaptor proteins in reactive astrocytes of Alzheimer’s disease brain. J Biol Chem 277: 35282–35288.
  39. 39. Tamayev R, Zhou D, D’Adamio L (2009) The interactome of the amyloid beta precursor protein family members is shaped by phosphorylation of their intracellular domains. Mol Neurodegener 4: 28.
  40. 40. Zhou D, Zambrano N, Russo T, D’Adamio L (2009) Phosphorylation of a tyrosine in the amyloid-beta protein precursor intracellular domain inhibits Fe65 binding and signaling. J Alzheimers Dis 16: 301–307.
  41. 41. Matrone C, Luvisetto S, La Rosa LR, Tamayev R, Pignataro A, et al. (2012) Tyr682 in the Abeta-precursor protein intracellular domain regulates synaptic connectivity, cholinergic function, and cognitive performance. Aging Cell 11: 1084–1093.
  42. 42. Barbagallo AP, Weldon R, Tamayev R, Zhou D, Giliberto L, et al. (2010) Tyr(682) in the intracellular domain of APP regulates amyloidogenic APP processing in vivo. PLoS One 5: e15503.
  43. 43. Bevins RA, Besheer J (2006) Object recognition in rats and mice: a one-trial non-matching-to-sample learning task to study ‘recognition memory’. Nat Protoc 1: 1306–1311.