Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
    • Podcast
  • ALERTS
  • FOR AUTHORS
    • Information for Authors
    • Fees
    • Journal Clubs
    • eLetters
    • Submit
  • EDITORIAL BOARD
  • ABOUT
    • Overview
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
  • SUBSCRIBE

User menu

  • Log in
  • My Cart

Search

  • Advanced search
Journal of Neuroscience
  • Log in
  • My Cart
Journal of Neuroscience

Advanced Search

Submit a Manuscript
  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
    • Podcast
  • ALERTS
  • FOR AUTHORS
    • Information for Authors
    • Fees
    • Journal Clubs
    • eLetters
    • Submit
  • EDITORIAL BOARD
  • ABOUT
    • Overview
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
  • SUBSCRIBE
PreviousNext
Research Articles, Neurobiology of Disease

Selective Degeneration of Entorhinal-CA1 Synapses in Alzheimer's Disease via Activation of DAPK1

Shu Shu, Houze Zhu, Na Tang, Wenting Chen, Xinyan Li, Hao Li, Lei Pei, Dan Liu, Yangling Mu, Qing Tian, Ling-Qiang Zhu and Youming Lu
Journal of Neuroscience 19 October 2016, 36 (42) 10843-10852; DOI: https://doi.org/10.1523/JNEUROSCI.2258-16.2016
Shu Shu
1Department of Physiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China,
5Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan 430030, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Houze Zhu
1Department of Physiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China,
5Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan 430030, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Na Tang
1Department of Physiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China,
5Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan 430030, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wenting Chen
1Department of Physiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China,
5Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan 430030, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xinyan Li
1Department of Physiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China,
5Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan 430030, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hao Li
1Department of Physiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China,
5Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan 430030, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Hao Li
Lei Pei
2Department of Neurobiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China,
5Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan 430030, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dan Liu
3Department of Genetics, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China,
5Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan 430030, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yangling Mu
1Department of Physiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China,
5Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan 430030, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Qing Tian
4Department of Pathophysiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China, and
5Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan 430030, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ling-Qiang Zhu
4Department of Pathophysiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China, and
5Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan 430030, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Youming Lu
1Department of Physiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China,
5Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan 430030, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Youming Lu
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Abstract

Excitatory pyramidal neurons in the entorhinal cortical layer II region (ECIIPN) form functional excitatory synapses with CA1 parvalbumin inhibitory neurons (CA1PV) and undergo selective degeneration in the early stages of Alzheimer's disease (AD). Here, we show that death-associated protein kinase 1 (DAPK1) is selectively activated in ECIIPN of AD mice. Inhibition of DAPK1 by deleting a catalytic domain or a death domain of DAPK1 rescues the ECIIPN-CA1PV synaptic loss and improves spatial learning and memory in AD mice. This study demonstrates that activation of DAPK1 in ECIIPN contributes to a memory loss in AD and hence warrants a promising target for the treatment of AD.

SIGNIFICANCE STATEMENT Our recent study reported that excitatory pyramidal neurons in the entorhinal cortical layer II region (ECIIPN) target to CA1 parvalbumin-type inhibitory neurons (CA1PV) at a direct pathway and are one of the most vulnerable brain cells that are selectively degenerated in the early stage of Alzheimer's disease (AD). Our present study shows that death-associated protein kinase 1 (DAPK1) is selectively activated in ECIIPN of AD mice. Inhibition of DAPK1 by deleting a catalytic domain or a death domain of DAPK1 rescues the ECIIPN-CA1PV synaptic loss and improves spatial learning and memory in the early stage of AD. These data not only demonstrate a crucial molecular event for synaptic degeneration but also provide a therapeutic target for the treatment of AD.

  • Alzheimers’ disease
  • DAPK1
  • learning and memory
  • synaptic degeneration

Introduction

Alzheimer's disease (AD) is the most common form of dementia in the elderly, affecting >10 million people in China and >35 million people worldwide. The deposition of senile plaques that primarily consist of amyloid-β (Aβ) peptide is a major pathological hallmark in the brains of AD patients and has long been considered to be associated with a progressive loss of central neurons in certain regions of the brain (Tanzi et al., 1987; Goate et al., 1991; Jack et al., 2010; Duffy et al., 2015). However, recent studies have shown that impairments in learning and memory, the early clinical signs of AD, are caused by synaptic dysfunction rather than neuronal cell loss. For example, in AD patients, cognitive decline is closely associated with a reduction in the number of presynaptic glutamatergic terminals (Gomez-Isla et al., 1996; Kamenetz et al., 2003; Oddo et al., 2003). Tg2576-APPswe mice (AD mice), which carry a transgene encoding the 695 amino acid isoform of the human Aβ precursor protein with the Swedish mutation and exhibit plaque pathologies similar to those in AD patients, show decays in synaptic transmission and impairments in spatial learning and memory in an age-dependent manner (Chapman et al., 1999; Jacobsen et al., 2006; Scheff et al., 2007). However, which of the many synapses in the brain undergo selective degeneration during the early stages of AD and whether this selective degeneration contributes directly to the loss of spatial learning and memory are still unknown.

Excitatory pyramidal neurons in the entorhinal cortex (EC, ECPN), which primarily target to the hippocampus, are the most vulnerable brain cells in the early stages of AD (Hsia et al., 1999; Yassa, 2014; Yang et al., 2016). The ECPN are largely distributed in the EC layer II (ECIIPN) and III (ECIIIPN) regions. These neurons innervate excitatory pyramidal neurons and parvalbumin (PV) inhibitory GABA-containing neurons in the CA1 hippocampus (CA1PV) and are associated with spatial and temporal associative memories (Kitamura et al., 2014; Yang et al., 2016). Our recent study showed that amyloid deposition occurs in the brain of AD mice at 8 months of age, whereas synaptic transmission between ECIIPN and CA1PV undergoes degeneration at 6 months of age (Yang et al., 2016). This finding indicates that synaptic degeneration is not associated with the presence of amyloid plagues. Yet, the molecular mechanisms underlying degeneration of ECIIPN synapses remain unknown. Our present studies demonstrate that death-associated protein kinase 1 (DAPK1) became activated selectively in the ECIIPN of AD mice. We show that activation of DAPK1 is responsible for a selective degeneration of ECIIPN-CA1PV synapses and that inhibition of DAPK1 is therapeutically effective for the intervention of spatial learning and memory declines in AD.

Materials and Methods

Animals.

All mice used in this study were bred and reared under the same conditions in the University's core animal facility in accordance with institutional guidelines and the Animal Care and Use Committee (Huazhong University of Science and Technology, Wuhan, China). The mice were housed in groups of 3–5 per cage and maintained with a 12 h light-dark cycle, with lights on at 8:00 A.M., at consistent ambient temperature (22 ± 1°C) and humidity (50 ± 5%). Tg2576-APPswe mice (the AD mice), which expressed a mutant form of Aβ precursor protein (APP) (isoform 695) with the Swedish mutation (KM670/671NL), were purchased from the The Jackson Laboratory. In the present study, all the AD mice were identified as homozygous. Male mice were used in this study.

Generation of the mutant mice.

To generate the AD/ECIIPNChR2+ mice, we expressed ChR2-eGFP in the ECIIPN of mutant mice that had a loxP-flanked STOP sequence followed by ChR2 (E123A)-eGFP. The Rosa-CAG-Flag-ChR2eGFP-WPRE targeting vector was designed with a CMV-IE enhancer/chicken β-actin/rabbit β-globin hybrid promoter (CAG), an FRT site, a loxP-flanked STOP cassette, a Flag-eGFP sequence, a woodchuck hepatitis virus post-transcriptional regulatory element (WPRE; to enhance the mRNA transcript stability), a poly-A signal, and an attB/att-flanked PGK-FRT-Neo-poly-A cassette. This entire construct was inserted into the Gt(ROSA)26Sor locus via electroporation into C57BL/6-derived embryonic stem (ES) cells. The targeted ES cells were selected and injected into C57BL/6 blastocysts, and chimeric animals were then bred to C57BL/6 mice (ChR2loxP/loxP).

Next, we created the rAAV1/2-D28K-Cre virus particles. We designed the rAVE-D28K-Cre vector by inserting a Cre recombinase sequence immediately downstream of the calbindin 1 (or calbindin-D28K, D28K) translational STOP codon via Apal/Kpnl. The rAVE plasmids were cotransfected with AAV helper1/2 mixers into HEK293 cells to generate rAAV1/2-D28K-Cre virus particles with a high titer (>5 × 1012 genomic particles/ml), as described previously (Tu et al., 2010; Pei et al., 2015; Yang et al., 2016). The virus particles (1.5 μl) were bilaterally injected into the EC superficial layer (anteroposterior 4.8 mm, mediolateral 2.8 mm, dorsoventral 3.5–4.0 mm) in the AD/ChR2loxP/loxP and control/ChR2loxP/loxP mice, thus leading to ChR2-eGFP expression in the ECIIPN of the AD or control mice (AD/ECIIPNChR2+ and control/ECIIPNChR2+ mice).

To generate the AD/ECIIPNCD− mice, we first created a mutant strain of mice with selective deletion of the catalytic domain (CD) of DAPK1 (DAPK1CDloxP/loxP mice) by targeting the exon 2 region, as described previously (Pei et al., 2015). The DAPK1CDloxP/loxP mice were crossed with the AD/ECIIPNChR2+ mice, thus resulting in AD/ECIIPNCD− mice, in which the DAPK1 CD was selectively deleted in the ChR2+-ECIIPN. To generate the AD/ECIIPNDD− mice, we created a mutant strain of mice with a selective deletion of the death domain (DD) of DAPK1 (DAPK1DDloxP/loxP mice). In brief, an FRT-flanked Neo resistance positive selection cassette was inserted downstream of exon 27; one loxP site was introduced upstream of exon 26 and another loxP site was introduced downstream of the Neo cassette. After linearization, the targeting vector was transfected into C57BL/6J embryonic stem cells via electroporation. Six positive clones were identified by Southern blotting with a 5′ probe, a 3′ probe, and a Neo probe. Two positive clones were injected into BALB/c blastocysts and implanted into pseudopregnant females. Chimeric mice were crossed with C57BL/6J mice to obtain F1 mice carrying the recombined allele containing the floxed DAPK1 allele and the Neo selection cassette. These mice were mated with Flp recombinase-expressing C57BL/6J Flp mice to remove the Neo resistance cassette and to generate a line of Neo-excised DAPK1DDloxP/loxP mice. When these mice were bred with the AD/ECIIPNChR2+ mice, the offspring were AD/ECIIPNDD− mice, in which the DAPK1 DD was selectively deleted in the ChR2+-ECIIPN.

Single-cell Western blots, kinase assays, and coimmunoprecipitation.

EC tissues were isolated from the AD/ECIIPNChR2+ mice, the AD/ECIIPNCD− mice, the AD/ECIIPNDD− mice and their respective controls and sliced and digested in buffer containing 10 mm Tris-Cl, pH 7.6, 50 mm NaF, 1 mm Na3VO4, 1 mm edetic acid, 1 mm benzamidine, 1 mm PMSF, 1 mg/10 ml papain, and a mixture of aprotinin, leupeptin, and pepstatin A (10 μg/ml each) for 30 min. The cell suspension of ECIIPNeGFP+ was automatically isolated using an S3e Cell Sorter (Bio-Rad). The isolated ECIIPN were homogenized and diluted with a buffer containing 200 mm Tris-Cl, pH 7.6, 8% SDS, and 40% glycerol. The protein concentration was determined using a BCA kit (Pierce). Final concentrations of 10% β-mercaptoethanol and 0.05% bromophenol blue were added, and the samples were boiled for 10 min in a water bath. The proteins in the extracts were separated by 10% SDS-PAGE and transferred to nitrocellulose membranes. The blots were scanned by using an Infrared Imaging System (Odyssey, LI-COR). The blots were incubated with antibodies against DAPK1 (1:500, Epitomics, catalog #3798-1). The band densities were quantitatively analyzed by using Kodak Digital Science 1D software (Eastman Kodak).

Immunocomplex kinase assay was used to determine the catalytic activity of DAPK1 in the lysates and myosin light chain (MLC) that was phosphorylated at Ser-18/Thr-20 (pMLC) by activated DAPK1 was blotted with anti-pMLC (1:1000, Millipore). The enzymatic activity of DAPK1 was expressed as the ratio of pMLC to DAPK1 protein under the same conditions. Immunoprecipitation was used to determine the association of DAPK1 with its substrates. The lysates (∼200 μg protein) were incubated with nonspecific IgG (2 μg) or polyclonal rabbit anti-DAPK1 antibody (2 μg, Millipore) overnight at 4°C, and this was followed by the addition of 40 μl of Protein G-Sepharose (Sigma) and incubation for 3 h at 4°C. The precipitates were washed four times with lysis buffer, denatured with SDS sample buffer, and separated by 12% SDS-PAGE. The proteins were transferred onto nitrocellulose membranes using a Bio-Rad mini-protein-III wet transfer unit overnight at 4°C. The transferred membranes were then incubated with blocking solution [5% nonfat dried milk dissolved in TBST buffer containing 10 mm Tris-HCl, 150 mm NaCl, and 0.1% Tween 20 for 1 h at room temperature, washed three times, and incubated with anti-goat primary antibody against Tau (1:1000, Santa Cruz Biotechnology), anti-rabbit antibody against Erk (1:1000; Millipore), or anti-DAPK1 (1:1000, Sigma) for 1 h at room temperature. The membranes were washed three times with TBST buffer, incubated with the appropriate secondary antibodies (1:1000 dilution) for 1 h, and washed four times. Signal detection was performed with an enhanced chemiluminescence kit (GE Healthcare). The lanes marked “input” were loaded with 10% of the starting material used for immunoprecipitation.

Electrophysiology.

Brain slices (300 μm) were prepared as previously described (Tu et al., 2010; Pei et al., 2015; Yang et al., 2016). The slices were transferred to a holding chamber containing ACSF consisting of 124 mm NaCl, 3 mm KCl, 26 mm NaHCO3, 1.2 mm MgCl2·6H2O, 1.25 mm NaH2PO4·2H2O, 10 mm C6H12O6, and 2 mm CaCl2, pH 7.4 and 305 mOsm. The slices were allowed to recover at 31.5°C for 30 min and then at room temperature for 1 h. Acute slices were transferred to a recording chamber continuously perfused with oxygenated ACSF (2 ml/min) and maintained at room temperature. For whole-cell patch-clamp recordings from the CA1PV, brain slices from the AD mice, in which mCherry was expressed in the CA1PV cells, were visualized via fluorescence IR-DIC using an Axioskop 2FS equipped with Hamamatsu C2400–07E optics. When stable whole-cell recordings were achieved with good access resistance (∼20 mΩ), basic electrophysiological properties were recorded. All the data were acquired at 10 kHz and filtered with a 2 kHz low-pass filter. The evoked EPSCs were recorded in the slices by delivering blue laser light (5 ms, 405-nm-wavelength laser at power densities ranging from 0.1 to 5 mW/mm2) directly onto the ECIIPN, which had normal intrinsic properties in AD/ECIIPNChR2+ (resting membrane potentiation = 69.3 ± 2.1 mV; input resistance = 386 ± 21 mΩ, mean ± SEM, n = 36 cells/6 mice), AD/ECIIPNCD− (resting membrane potentiation = 68.7 ± 2.0 mV; input resistance = 389 ± 19 mΩ, mean ± SEM, n = 33 cells/5 mice), and AD/ECIIPNDD− mice (resting membrane potentiation = 69.9 ± 1.9 mV; input resistance = 401 ± 17 mΩ, mean ± SEM, n = 39 cells/5 mice) when they were at 180 ± 5 d of age, compared with the age-matched controls (resting membrane potentiation = 70.1 ± 1.7 mV; input resistance = 403 ± 13 mΩ, mean ± SEM, n = 32 cells/5 mice).

Extracellular single-unit recording.

Extracellular single-unit and local field power spectrum recordings were made from the CA1 neurons (anteroposterior −1.7 mm, mediolateral 1.0 mm, and dorsoventral 0.5–0.8 mm target to CA1). Mice were connected to the recording equipment via AC-coupled unity-gain operational amplifiers (Plexon). Signals were amplified 4000- to 8000-fold. The spikes and local field potentials were recorded simultaneously and isolated by using a 250 Hz low-pass filter and a 250 Hz high-pass filter and the commercial software OmniPlex (Plexon). Spike sorting was performed off-line using graphical cluster-sorting software (Offline Sorter, Plexon). To estimate the quality of the cluster separation, we calculated the isolation distance and the L-ratio using Plexon SDK. Only the units with an L-ratio <0.05 and a distance >15 were included.

To isolate and analyze spike units from individual CA1PN versus the CA1PV, we calculated the valley-to-peak time and the half-width of the spikes. Spikes from CA1PN were identified and distinguished from those of CA1IN according to the duration of the negative spike, the firing pattern (complex spikes), and the low average firing rate. Spikes from CA1PV were validated as described previously (Yang et al., 2016). The average firing rate was expressed as the total number of spikes divided by the total length of the recording period.

Morris Water Maze.

A pool 1.5 m in diameter was filled with water that was made opaque with white nontoxic ink and maintained at 25.0°C. Animals were brought to the behavior room (where they were housed for the duration of the training), handled for 1–2 d, and trained, as described previously (Tu et al., 2010; Pei et al., 2015; Yang et al., 2016). The entire protocol lasted 7 d. The first training day consisted of a probe trial followed by a “visible platform” trial, in which the platform was indicated by a red flag. Next, mice were subjected to their first “hidden platform” learning trial, during which they were allowed to rest on the platform for 30 s before being released from one of the pool's starting points (north, south, east, or west). The animals were allowed 60 s to find the platform and were allowed to stay there for 30 s; if an animal did not find the platform within 60 s, it was removed from the water and placed on the platform for 30 s. During days 1–6, four trials were performed corresponding to the four different randomized release points. Therefore, the total training took 6 d followed by a final 24 h probe on the seventh day.

Open-field tests and rotarod tests.

Locomotor activity was assessed in clear boxes measuring 100 cm × 100 cm that were outfitted with photo-beam detectors for monitoring horizontal and vertical activity, as described previously (Tu et al., 2010; Pei et al., 2015; Yang et al., 2016). The data were collected using a PC and were analyzed using the MED Associates Activity Monitor Data Analysis software. Mice were placed in a corner of the open-field apparatus and allowed to move freely. The variables recorded included resting time (seconds), ambulatory time (seconds), vertical/rearing time (seconds), jump time (seconds), stereotypic time (seconds), and average velocity (centimeters per second). The mice were not exposed to the chamber before testing. The data were recorded for each animal during 30 min intervals. For the rotarod test, mice were subjected to a 1 week learning period, after which they were able to perform on an accelerating rotarod. The test was then performed twice per week until the mice were unable to remain on the rotating bar for >10 s in three consecutive attempts, which was defined as rotarod failure.

Data analysis.

All variance values in the text and figure legends are represented as the mean ± SEM. Parametric tests, including t tests and two-way ANOVAs, were used when assumptions of normality and equal variance (F test) were met; two-way repeated-measures ANOVA was used to analyze the Morris Water Maze data. Differences were considered statistically significant when p < 0.05.

Results

Activation of DAPK1 in ECIIPN of AD mice

To determine the molecular mechanisms underlying the selective degeneration of ECIIPN synapses in AD mice, we focused our studies on DAPK1, an enzyme critical for synaptic losses in central neurons (Tu et al., 2010). To functionally and morphologically identify individual ECIIPN, we generated AD/ECIIPNChR2+ mice, in which channelrhodopsin-2-E123A (ChR2), a modified version of a light-gated cation channel, and an eGFP were selectively expressed in the vulnerable ECIIPN of the AD mice. A mouse model of AD was chosen because these mice carry a transgene coding for the 695 amino acid isoform of the human Alzheimer Aβ precursor protein with the Swedish mutation and exhibit plaque pathologies similar to those in AD patients.

Specifically, we created a conditional line of mutant mice that expressed a double-floxed inverted open reading frame of ChR2-eGFP (ChR2loxP/loxP mice; Fig. 1A). We also constructed a Type 1/2 recombinant adeno-associated (rAAV1/2)-D28K-Cre virus vector, in which Cre recombinase was expressed under the control of the D28K promoter (Fig. 1B). Virus particles at high titer were injected directly into the ECII of the AD/ChR2loxP/loxP mice, resulting in the ChR2-eGFP expression specifically in the ECIIPN (Fig. 1B). ECIIPN cells were named as island cells, in which Wfs1 is expressed (Kitamura et al., 2014). Consistent with this previous study, we showed that ECIIPN that directly innervate CA1PV were labeled with an antibody against Wfs1 protein (Fig. 1C). Thus, ECIIPNChR2+ neurons comprise a group of excitatory island cells.

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

DAPK1 as activated specifically in ECIIPN of AD mice. A, Illustration of the targeting vector used to generate the ChR2-eGFPloxP/loxP mice. B, Representative image showing the selective expression of ChR2-eGFP in ECIIPN of AD/ECIIPNChR2+ mice when the rAAV1/2-D28K-Cre virus particles were stereotaxically injected into the ECII region. C, Representative images indicating that the ECIIPNChR2+ are labeled with an antibody against the Wsf1 protein. Similar results were seen in each of the four experiments. D, E, DAPK1 becomes activated in ECIIPN of AD mice at 150 d of age. The ECIIPNChR2+ cells were isolated from the brain sections of the AD/ECIIPNChR2+ mice (D) and the control/ECIIPNChR2+ mice (E), respectively, when they were at 120, 150, 180, and 210 d of age. The cell lysates were then prepared from the isolated ECIIPNChR2+ cells and precipitated with anti-DAPK1. The precipitates were blotted with antibodies against pMLC or DAPK1, as indicated. In bar graphs, the band intensity was normalized to that of the DAPK1 protein from a mouse at 120 d of age (defined as 1.0). Data are mean ± SEM (n = 5). *p < 0.001 (t tests). F, G, the pMLC is catalyzed by an activated DAPK1 but not MLCK in the ECIIPNChR2+ cells from AD mice. Blots of the precipitates from the ECIIPNChR2+ (F) and the frontal cortical cells (G) extracts of the AD/ECIIPNChR2+ mice at 120, 150, 180, and 210 d of age with antibodies against MLCK, pMLC, or DAPK1, as indicated. Similar results were seen in each of the four experiments.

We next isolated ECIIPNChR2+ cells from the brain tissues of the AD/ECIIPNChR2+ mice using flow cytometry and cell sorting techniques. To determine the catalytic activity of DAPK1 in the purified ECIIPNChR2+ cells, we applied an immunocomplex kinase assay with MLC as an endogenous substrate of DAPK1 (Tu et al., 2010). We precipitated DAPK1 protein complex in the cell lysates of the ECIIPNChR2+ cells from the AD/ECIIPNChR2+ mice and the controls (the control/ECIIPNChR2+ mice) using an antibody against DAPK1. The precipitates were then blotted with antibodies against a pMLC and DAPK1, respectively (Fig. 1D). Our data revealed that the levels of pMLC were increased in the ECIIPNChR2+ cells from the AD/ECIIPNChR2+ mice after 150 d of age (Fig. 1D), compared with the age-matched control/ECIIPNChR2+ mice (Fig. 1E). The pMLC was catalyzed by an activated DAPK1 as MLC kinase (MLCK) that also targets MLC at serine-20 was undetectable in the precipitates from the ECIIPNChR2+ cells of the AD/ECIIPNChR2+ mice (Fig. 1F). An increase of the pMLC was found in the ECIIPNChR2+ cells only, but not in the frontal cortical neurons from the AD/ECIIPNChR2+ mice (Fig. 1G). Together, these data demonstrate that DAPK1 is activated selectively in ECIIPN cells of AD mice during aging.

Genetic inhibition of DAPK1 in ECIIPN of AD mice

We next determined whether activation of DAPK1 in the ECIIPN of AD mice contributes to impairments in synaptic transmission along the ECIIPN-CA1PV pathway. We developed two independent approaches to inhibiting DAPK1 function in the ECIIPN of AD mice. First, we generated a mutant strain of mice (DAPK1CDloxP/loxP) in which a double-floxed inverted open reading frame of DAPK1 with a CD deletion was expressed (Fig. 2A,B). When these mice were bred with AD/ECIIPNChR2+ mice, which Cre recombinase was expressed in the ECIIPNChR2+ cells (for details, see Fig. 1B), the CD of DAPK1 (DAPK1CD−) was selectively deleted in the ECIIPNChR2+ of the offspring (AD/ECIIPNCD− mice; Fig. 2C–E). To verify the successful generation of AD/ECIIPNCD− mice, we performed two independent lines of the studies. First, we stained the sections from the AD/ECIIPNCD− mice with antibody against D28K protein and showed that the DAPK1CD− mutant protein in the ECIIPNChR2+ cells was recognized by anti-D28K (Fig. 2D). Second, we isolated the ECIIPNChR2+ cells from the AD/ECIIPNCD− mice using flow cytometry and cell sorting techniques. The cell lysates were prepared from the isolated ECIIPNChR2+ cells and precipitated with anti-DAPK1. The precipitates were blotted with antibodies against pMLC and DAPK1 proteins, as indicated (Fig. 2E). Our data revealed a complete loss of DAPK1 enzymatic activity in the ECIIPNChR2+ cells of the AD/ECIIPNCD− mice (Fig. 2E).

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

Genetic inhibition of DAPK1 in ECIIPN of AD mice. A, Constructs for the generation of DAPK1CDloxP/loxP mice. B, Representative PCR showing the expression of the mutant transcripts in the DAPK1CDloxP/loxP mice. C, The Tg3 mice were generated by crossing the ChR2loxP/loxP mice with the AD mice and the DAPK1CDloxP/loxP mice and were stereotaxically injected with the rAAV1/2-D28K-Cre virus particles into the ECII region, resulting in the AD/ECIIPNCD− mice. D, Representative images showing the ECIIPN from the AD/ECIIPNCD− mice that expressed the DAPK1CD− mutant protein (green, ChR2) and that were stained with an antibody against the D28K protein (pink). Similar results were seen in each of the five experiments. E, Blots of the ECIIPN extracts from the AD/ECIIPNCD− mice using antibodies against pMLC or DAPK1, as indicated. The band intensity was normalized to that of the DAPK1 protein from mice at 90 d of age (defined as 1.0). Data are mean ± SEM (n = 5). F, Constructs for the generation of the DAPK1DDloxP/loxP mice. G, H, Representative images showing the expression of mutant transcripts (G) and protein (H) from the DAPK1DDloxP/loxP mice. H, An antibody against the N-terminal region of DAPK1 (N-DAPK1) recognizes the wild-type (∼160 kDa) and mutant proteins (∼140 kDa). Similar results were seen in each of the five experiments. I, Deletion of the DAPK1 DD does not affect the catalytic activity of DAPK1. Blots of the ECIIPN extracts from the AD/ECIIPNDD− mice using antibodies against pMLC or N-DAPK1, as indicated. The band intensity was normalized to that of the N-DAPK1 protein from mice at 90 d of age (defined as 1.0). Data are mean ± SEM (n = 5). J, Deletion of the DAPK1 DD inhibits the association of DAPK1 protein with its substrates. The ECIIPN cell lysates from the AD/ECIIPNDD+ (DD+) or the AD/ECIIPNDD− (DD−) mice were precipitated with nonspecific IgG or antibodies against DAPK1. The precipitates were then blotted with antibodies against N-DAPK1, Tau protein, or ERK protein, as indicated. Input: 10 μg of protein from the ECIIPN cell lysates without precipitation was loaded. Similar results were seen in each of the four experiments.

Next, we generated the mutant mice (DAPK1DDloxP/loxP mice) in which a double-floxed inverted open reading frame of DAPK1 lacking a DD was expressed (Fig. 2F,G). When these mice were crossed with the AD/ECIIPNChR2+ mice, the DD of DAPK1 was selectively deleted (DAPK1DD−) in the ECIIPNChR2+ of the offspring (AD/ECIIPNDD− mice). The successful expression of DAPK1DD− mutant protein was confirmed by blotting the cell lysates from the ECIIPNChR2+ cells of the AD/ECIIPNDD− mice with antibody against N-terminal fragment of DAPK1 (N-DAPK1; Fig. 2H). We next examined the enzymatic activity of DAPK1DD− mutant protein. We isolated the ECIIPNChR2+ cells from the AD/ECIIPNDD− mice using flow cytometry and cell sorting techniques. The cell lysates were prepared from the isolated ECIIPNChR2+ cells and precipitated with anti-DAPK1. The precipitates were blotted with antibodies against pMLC, tubulin, Tau, and ERK proteins, as indicated (Fig. 2I,J). Our data revealed that the expression of DAPK1DD− did not alter the catalytic activity of DAPK1 (Fig. 2I), but this deletion blocked the binding of DAPK1 to DAPK1 substrates, such as the Tau and ERK proteins (Fig. 2J).

Protection against ECIIPN synaptic decay in AD mice

To determine whether the genetic inhibition of DAPK1 might avert the ECIIPN synaptic decay in AD mice, we performed whole-cell patch-clamp recordings with the CA1PV (Fig. 3A) from the AD/ECIIPNCD− and AD/ECIIPNDD− mice at 180 ± 5 d of age as well as age-matched controls (AD/ECIIPNChR2+, the control/ECIIPNDD−, and the control/ECIIPNChR2+ mice). EPSCs were evoked by delivering blue laser light directly to the ECIIPNChR2+ in brain slices. To exclude disturbances from other projections (i.e., the ECIIPN-DG-CA3-CA1PV indirect pathway), we cut off the connections of the dentate gyrus to the CA3 cells in the slices (Fig. 3A) and recorded NMDA-mediated EPSCs at a holding potential of 60 mV. The recordings were performed in the presence of 20 μm CNQX and 20 μm bicuculline to block both AMPA receptors and Type A GABAA receptor-mediated responses. Under this circumstance, we were able to record monosynaptic transmission between ECIIPN and CA1PV cells in the slices. We then analyzed the mean amplitudes of the evoked EPSCs with the increases of the stimulus intensities (Fig. 3A). We demonstrated that the genetic inhibition of DAPK1 specifically in the ECIIPN did not alter synaptic transmission in the control mice (the peak values of the mean amplitudes were 99 ± 13 pA in the control/ECIIPNChR2+ mice vs 92 ± 15 pA in the control/ECIIPNCD− mice), but it was effective in reversing the ECIIPN-CA1PV synaptic decline in the AD mice (peak values of the mean amplitudes were 65 ± 8 pA in the AD/ECIIPNChR2+ mice vs 93 ± 9 pA in the AD/ECIIPNCD− mice).

Figure 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 3.

Inhibition of DAPK1 protects against the ECIIPN-CA1PV synaptic decay in AD mice. A, Illustration (top) represents the recording configurations. The mean amplitudes of the evoked NMDA receptor EPSCs in the CA1PV at a holding potential of 60 mV are plotted versus the light intensity increments (0.5 mV intervals) of stimulation of ECIIPNChR2+. Data are mean ± SEM (n = 25 recordings/5 mice/group). *p < 0.001 (t tests). Representative recordings above the graph are the average of 12 sweeps of the evoked EPSCs at the low (a) and high (b) stimulus intensities. B, Representative images show the ChR2-eGFP-labeled terminals (green) of the ECIIPN in the CA1 hippocampus stained with anti-PV antibody (pink). C, Bar graphs represent the numbers (terminals/0.2 cm2) of the ChR2-eGFP-labeled terminals in the stratum lacunosum-moleculare region and the PV-labeled spines (spines/10 μm dendritic branches) in the stratum lacunosum-moleculare region. Data are mean ± SEM (n = 5 mice/group). *p < 0.001 (t tests). D–F, A working model showing that inhibition of DAPK1 restores excitatory and inhibitory balance in the CA1 circuits of AD mice. Under the physiological conditions (D), ECIIPN form direct excitatory synapses with CA1PV and balance the excitatory/inhibitory synaptic transmission in CA1 circuits. During the disease progression of AD (E), ECIIPN-CA1PV synapses are degenerated. This degeneration disables the excitatory and inhibitory balance as a consequence of a loss of inhibitory inputs from CA1PV to CA1PN. Inhibition of DAPK1 in the ECIIPN (F) effectively intervenes in the degeneration of ECPN-CA1PV synapses and restores the excitatory and inhibitory synaptic balance in AD mice. G, H, Genetic inhibition of DAPK1 restores the balance between excitation and inhibition in CA1PV (G) and CA1PN (H) cells of AD mice at 180 d of age. Representative recordings of spike units of CA1 neurons in freely moving mice. The spikes in CA1PV (G) versus CA1PN (H) were isolated based on the valley-to-peak time and the half-width of the spikes. The averaged frequencies of action potential firings of CA1PV (G) and CA1PN (H) in freely moving mice at 180 d of age were summarized in bar graphs. Data are mean ± SEM (n = 11 mice per group). *p < 0.001 (t tests).

Next, we examined the structure of ECIIPN-CA1PV synapses in the AD/ECIIPNCD− mice (Fig. 3B). At presynaptic sites, the excitatory terminals in the stratum lacunosum-moleculare, an afferent axon terminal zone of the ECIIPNChR2+ in the CA1 hippocampus, were analyzed (Fig. 3B). The density of ChR2-eGFP-labeled terminals (50 μm × 200 μm) in the AD mice at 180 ± 5 d of age was 29.1 ± 3.2% lower than that of the age-matched controls (Fig. 3C). This reduction in the number of excitatory synaptic terminals in the the stratum lacunosum-moleculare region of the AD mice was completely rescued in both the AD/ECIIPNCD− and AD/ECIIPNDD− mice (Fig. 3C). At postsynaptic sites, we stained the sections with an antibody against the PV protein (Fig. 3B), which revealed that the dendritic branch spines (50 μm segment) from the antibody-labeled CA1PV cells (50 segments per animal) in the stratum lacunosum-moleculare region of the AD mice decreased by 35.1 ± 3.9% compared with those in the age-matched controls (5.3 ± 0.63 vs 3.3 ± 0.36, mean ± SEM, n = 50 dendritic branches/5 mice/group, p < 0.001; Fig. 3C). The inhibition of DAPK1 completely rescued the synaptic loss of the CA1PV in the AD mice (5.1 ± 0.59 in the AD/ECIIPNCD− mice, 4.9 ± 0.62 in the AD/ECIIPNDD− mice vs 5.2 ± 0.58 in the controls, mean ± SEM, n = 50 dendritic branches/5 mice/group, p > 0.05; Fig. 3C).

Impairments of synaptic transmission along the ECIIPN-CA1PV excitatory pathway, which primarily target the dendrites of CA1 excitatory pyramidal neurons (CA1PN) disrupt the excitatory and inhibitory balance in the CA1 neural circuits of AD mice (Lesne et al., 2006; Mucke, 2007; Palop and Mucke, 2009). Therefore, protecting the ECIIPN-CA1PV pathway from synaptic loss in AD mice should restore the excitatory and inhibitory balance in the CA1 circuits (Fig. 3D–F). To test this hypothesis, we monitored the activity of CA1 neuronal cells in freely moving mice at 180 ± 5 d of age by using extracellular single-unit recording techniques (Yang et al., 2016). Action potentials that originated from the CA1PN versus the CA1PV of freely moving mice were classified on the basis of the properties of the action potential, as recently described (Yang et al., 2016). In the AD mice, the probability of action potential firing was dramatically reduced in the CA1PV (11.8 ± 1.6 vs 16.9 ± 1.9, mean ± SEM, n = 36 units/9 mice/group, p < 0.001; Fig. 3G) and increased in the CA1PN (5.6 ± 0.68 vs 3.3 ± 0.51, mean ± SEM, n = 36 units/9 mice/group, p < 0.001; Fig. 3H), compared with the age-matched control mice, thus showing that the excitatory and inhibitory balance was disrupted in the CA1 circuits of the AD mice. In the AD/ECIIPNCD− mice, in which DAPK1 was inactivated specifically in the ECIIPN, the excitatory and inhibitory balance in the CA1 circuits was restored; the probabilities of action potential firings in both the CA1PV (16.2 ± 1.8 vs 17.5 ± 1.8, mean ± SEM, n = 36 units/9 mice/group, p > 0.05) and the CA1PN (3.7 ± 0.52 vs 3.7 ± 0.58, mean ± SEM, n = 36 units/9 mice/group, p > 0.05; Fig. 3H,G) were identical to those in the age-matched controls. In the AD/ECIIPNDD− mice, action potential firing in both the CA1PV and CA1PN was comparable with that in the age-matched controls. Together, these data demonstrate that the inhibition of DAPK1 by selective deletion of either the DAPK1 CD or DAPK1 DD within the ECIIPN prevents the decay of the ECIIPN-CA1PV synaptic transmission and hence restores the excitatory and inhibitory balance in the CA1 circuits of the AD mice.

Improvements in spatial learning and memory in AD mice

We next determined whether preventing the synaptic impairments via the inhibition of DAPK1 in the ECIIPN improves spatial learning and memory in the AD mice. We analyzed the task performance of mice at 180 ± 5 d of age in a hidden version of the Morris Water Maze test. The AD/ECIIPNCD− mice showed better performance in all the measured indices (Fig. 4A–G); the latency and swim length to reach a hidden platform during the training session (Fig. 4A–G), and the percentage of time spent in search of a hidden platform in each quadrant during the probe trial (Fig. 4D–G) were comparable between the AD/ECIIPNCD− mice (latency = 16.9 ± 1.7 s; length = 192 ± 21 cm; percentage time = 37 ± 3.5) and the control AD/ECIIPNCD+ mice (latency = 15.7 ± 1.3 s; length = 183 ± 19 cm; percentage time = 35.5 ± 3.6). These data indicate that the inhibition of DAPK1 effectively averts the decay of spatial learning and memory in the AD mice. Consistently with this conclusion, the AD/ECIIPNDD− mice with a deletion of the DAPK1 DD in the ECIIPN also exhibited significant improvements in acquiring spatial information during the Morris Water Maze tests (latency = 15.0 ± 1.6 s; length = 191 ± 18 cm; percentage time = 38 ± 3.2 in the AD/ECIIPNDD− mice vs latency = 17.1 ± 1.6 s; length = 189 ± 20 cm; percentage time = 34.9 ± 3.3 in the AD/ECIIPNChR2+ mice; Fig. 4H,I). To determine the specific effects of DAPK1 inhibition on spatial learning and memory, we also performed learning-unrelated behavioral tests, including open field, rotarod, elevated plus maze, and forced swimming. Our data revealed that all the groups of mice, including the AD mice at 180 ± 5 d of age, performed normally in all of the learning-unrelated tests, compared with the age-matched controls (Fig. 5A–D).

Figure 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 4.

Inhibition of DAPK1 in the ECIIPN improves spatial learning and memory in AD mice. A–C, The latency (A, B) and swim length (C) to reach a hidden platform are plotted against the blocks of trials. A, Representative path tracings were taken during the training tests on day 6. Data are mean ± SEM (n = 11 mice per group, F(5,60) = 2.71). *p < 0.001 (ANOVA). D–G, The percentage of time spent in search of a hidden platform in each quadrant during the probe trial of mice at 90 (D, E), 120 (F), and 180 (G) days old of age. D, Representative hot spot of path tracings taken during the probe trials on day 8. Data are mean ± SEM (n = 11 mice per group, F(5,60) = 3.97). *p < 0.001. H, Deletion of DAPK1 DD in the ECIIPN of AD mice improves spatial information acquisition. The latency and swim length to reach a hidden platform are plotted against the blocks of trials. Data are mean ± SEM (n = 11 mice per group, F(5,60) = 4.13). *p < 0.001. I, Deletion of DAPK1 DD in the ECIIPN of AD mice improves spatial memory. The percentage of time spent in search of a hidden platform in each quadrant during the probe trial. Data are mean ± SEM (n = 11 mice per group, F(5,60) = 3.11). *p < 0.001.

Figure 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 5.

AD mice are normal in learning-unrelated behavioral tests. A, Bar graphs represent that distance moved, rearing counts, and grooming time in the open field tests are identical among groups (mean ± SEM, n = 9 mice per group). B, Bar graphs represent that the performance for foot stay and fault on rotarod tests is comparable between genotypes (mean ± SEM, n = 8 mice per group). C, Mice are normal in elevated plus maze tests. Bar graphs represent that time in open arms is identical between groups (mean ± SEM, n = 9 mice per group). D, Mice are normal in the forced swimming tests. The percentage of time immobile per minute over the whole 5 min trial is identical between groups (mean ± SEM, n = 9 mice per group).

Discussion

ECIIPN are some of the earliest affected brain cells in AD, and the selective expression of human mutant APP in the ECIIPN of mice impairs spatial learning and memory (Harris et al., 2010). Consistently, our data revealed that DAPK1 was selectively activated in the ECIIPN of AD mice and that the genetic inhibition of DAPK1 effectively protected against impairments in the ECIIPN-CA1PV synaptic transmission and improved spatial learning and memory.

The key findings in the present study include the following: (1) DAPK1 is selectively activated in ECIIPN in the early stages of AD mice; and (2) the specific inhibition of DAPK1 in the ECIIPN of AD mice results in therapeutic effects against declines in spatial learning and memory. DAPK1 is a Ca2+/calmodulin-dependent protein kinase and was originally identified by functional cloning on the basis of its involvement in interferon-γ-induced apoptosis (Shohat et al., 2001). Previously, we have reported that DAPK1 is activated in central neurons and contributes to neuronal death (Tu et al., 2010). More recently, we have reported that activated DAPK1 directly binds and phosphorylates the Tau protein on Ser262 and induces synaptic degeneration (Pei et al., 2015). Hyperphosphorylation of Tau (tau inclusions, pTau) results in the self-assembly of tangles of paired helical filaments and straight filaments in the brain, which are involved in the early pathogenesis of AD (Alonso et al., 2001; Clavaguera et al., 2009; Hoover et al., 2010; de Calignon et al., 2012; Spires-Jones and Hyman, 2014). In the present study, we found that genetic deletion of the DAPK1 DD in the AD/ECIIPNDD− mice disrupted binding of DAPK1 to the Tau protein in ECIIPN. Thus, the DAPK1-Tau interaction may be a crucial signaling event underlying the early degeneration of excitatory synaptic transmission at ECIIPN-CA1PV synapses and may be a promising target for therapeutic interventions to treat disease progression.

The present study analyzed task performance in a hidden version of the Morris Water Maze test and revealed that AD mice exhibit spatial learning and memory defects beginning at 6 months of age (Hsiao et al., 1996; Langston et al., 2010). Previous studies have reported that AD mice show deficits in task performance at 9 months of age (Hsiao et al., 1996) or after 14 months of age (Holcomb et al., 1999). However, several other studies have described the presence of behavioral deficits in AD mice as early as 3–6 months of age (King and Arendash, 2002; Lindner et al., 2006; Fritsch et al., 2010). The discrepancies among these studies may be due to differences in the experimental paradigms and in the genetic backgrounds of the mice used in the different laboratories. For example, some studies used a training schedule with 9 trials per day for 6 d, whereas others applied 10 trials per day for 4 d. The genetic background of the AD mice also affects the outcome of behavioral tests. In the present study, the AD mice and the nontransgenic controls were housed under the same conditions and were derived from the same litters; therefore, these parameters should not affect our conclusion that the activation of DAPK1 in ECIIPN contributes to impairments in spatial learning and memory in AD mice.

Footnotes

  • This work was supported by the National Natural Science Foundation of China Grants 81130079 to Y.L., 91232302 to Y.L., 81571078 to L.P., 31571039 to L.-Q.Z., Top-Notch Young Talents Program of China of 2014, and Academic Frontier Youth Team of HUST to L.-Q.Z. We thank Dr. Hengye Man (Boston University) for comments on the manuscript.

  • The authors declare no competing financial interests.

  • This is an Open Access article distributed under the terms of the Creative Commons Attribution License Creative Commons Attribution 4.0 International, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

  • Correspondence should be addressed to either Dr. Ling-Qiang Zhu or Dr. Youming Lu, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. zhulq{at}hust.edu.cn or lym{at}hust.edu.cn

This article is freely available online through the J Neurosci Author Open Choice option.

References

  1. ↵
    1. Alonso A,
    2. Zaidi T,
    3. Novak M,
    4. Grundke-Iqbal I,
    5. Iqbal K
    (2001) Hyperphosphorylation induces self-assembly of τ into tangles of paired helical filaments/straight filaments. Proc Natl Acad Sci U S A 98:6923–6928, doi:10.1073/pnas.121119298, pmid:11381127.
    OpenUrlAbstract/FREE Full Text
  2. ↵
    1. Chapman PF,
    2. White GL,
    3. Jones MW,
    4. Cooper-Blacketer D,
    5. Marshall VJ,
    6. Irizarry M,
    7. Younkin L,
    8. Good MA,
    9. Bliss TV,
    10. Hyman BT,
    11. Younkin SG,
    12. Hsiao KK
    (1999) Impaired synaptic plasticity and learning in aged amyloid precursor protein transgenic mice. Nat Neurosci 2:271–276, doi:10.1038/6374, pmid:10195221.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Clavaguera F,
    2. Bolmont T,
    3. Crowther RA,
    4. Abramowski D,
    5. Frank S,
    6. Probst A,
    7. Fraser G,
    8. Stalder AK,
    9. Beibel M,
    10. Staufenbiel M,
    11. Jucker M,
    12. Goedert M,
    13. Tolnay M
    (2009) Transmission and spreading of tauopathy in transgenic mouse brain. Nat Cell Biol 11:909–913, doi:10.1038/ncb1901, pmid:19503072.
    OpenUrlCrossRefPubMed
  4. ↵
    1. de Calignon A,
    2. Polydoro M,
    3. Suárez-Calvet M,
    4. William C,
    5. Adamowicz DH,
    6. Kopeikina KJ,
    7. Pitstick R,
    8. Sahara N,
    9. Ashe KH,
    10. Carlson GA,
    11. Spires-Jones TL,
    12. Hyman BT
    (2012) Propagation of tau pathology in a model of early Alzheimer's disease. Neuron 73:685–697, doi:10.1016/j.neuron.2011.11.033, pmid:22365544.
    OpenUrlCrossRefPubMed
  5. ↵
    1. Duffy AM,
    2. Morales-Corraliza J,
    3. Bermudez-Hernandez KM,
    4. Schaner MJ,
    5. Magagna-Poveda A,
    6. Mathews PM,
    7. Scharfman HE
    (2015) Entorhinal cortical defects in Tg2576 mice are present as early as 2–4 months of age. Neurobiol Aging 36:134–148, doi:10.1016/j.neurobiolaging.2014.07.001, pmid:25109765.
    OpenUrlCrossRefPubMed
  6. ↵
    1. Fritsch B,
    2. Reis J,
    3. Martinowich K,
    4. Schambra HM,
    5. Ji Y,
    6. Cohen LG,
    7. Lu B
    (2010) Direct current stimulation promotes BDNF-dependent synaptic plasticity: potential implications for motor learning. Neuron 66:198–204, doi:10.1016/j.neuron.2010.03.035, pmid:20434997.
    OpenUrlCrossRefPubMed
  7. ↵
    1. Goate A,
    2. Chartier-Harlin MC,
    3. Mullan M,
    4. Brown J,
    5. Crawford F,
    6. Fidani L,
    7. Giuffra L,
    8. Haynes A,
    9. Irving N,
    10. James L
    (1991) Segregation of a missense mutation in the amyloid precursor protein gene with familial Alzheimer's disease. Nature 349:704–706, doi:10.1038/349704a0, pmid:1671712.
    OpenUrlCrossRefPubMed
  8. ↵
    1. Gómez-Isla T,
    2. Price JL,
    3. McKeel DW Jr.,
    4. Morris JC,
    5. Growdon JH,
    6. Hyman BT
    (1996) Profound loss of layer II entorhinal cortex neurons occurs in very mild Alzheimer's disease. J Neurosci 16:4491–4500, pmid:8699259.
    OpenUrlAbstract/FREE Full Text
  9. ↵
    1. Harris JA,
    2. Devidze N,
    3. Verret L,
    4. Ho K,
    5. Halabisky B,
    6. Thwin MT,
    7. Kim D,
    8. Hamto P,
    9. Lo I,
    10. Yu GQ,
    11. Palop JJ,
    12. Masliah E,
    13. Mucke L
    (2010) Transsynaptic progression of amyloid-β-induced neuronal dysfunction within the entorhinal-hippocampal network. Neuron 68:428–441, doi:10.1016/j.neuron.2010.10.020, pmid:21040845.
    OpenUrlCrossRefPubMed
  10. ↵
    1. Holcomb LA,
    2. Gordon MN,
    3. Jantzen P,
    4. Hsiao K,
    5. Duff K,
    6. Morgan D
    (1999) Behavioral changes in transgenic mice expressing both amyloid precursor protein and presenilin-1 mutations: lack of association with amyloid deposits. Behav Genet 29:177–185, doi:10.1023/A:1021691918517, pmid:10547924.
    OpenUrlCrossRefPubMed
  11. ↵
    1. Hoover BR,
    2. Reed MN,
    3. Su J,
    4. Penrod RD,
    5. Kotilinek LA,
    6. Grant MK,
    7. Pitstick R,
    8. Carlson GA,
    9. Lanier LM,
    10. Yuan LL,
    11. Ashe KH,
    12. Liao D
    (2010) Tau mislocalization to dendritic spines mediates synaptic dysfunction independently of neurodegeneration. Neuron 68:1067–1081, doi:10.1016/j.neuron.2010.11.030, pmid:21172610.
    OpenUrlCrossRefPubMed
  12. ↵
    1. Hsia AY,
    2. Masliah E,
    3. McConlogue L,
    4. Yu GQ,
    5. Tatsuno G,
    6. Hu K,
    7. Kholodenko D,
    8. Malenka RC,
    9. Nicoll RA,
    10. Mucke L
    (1999) Plaque-independent disruption of neural circuits in Alzheimer's disease mouse models. Proc Natl Acad Sci U S A 96:3228–3233, doi:10.1073/pnas.96.6.3228, pmid:10077666.
    OpenUrlAbstract/FREE Full Text
  13. ↵
    1. Hsiao K,
    2. Chapman P,
    3. Nilsen S,
    4. Eckman C,
    5. Harigaya Y,
    6. Younkin S,
    7. Yang F,
    8. Cole G
    (1996) Correlative memory deficits, Abeta elevation, and amyloid plaques in transgenic mice. Science 274:99–102, doi:10.1126/science.274.5284.99, pmid:8810256.
    OpenUrlAbstract/FREE Full Text
  14. ↵
    1. Jack CR Jr.,
    2. Knopman DS,
    3. Jagust WJ,
    4. Shaw LM,
    5. Aisen PS,
    6. Weiner MW,
    7. Petersen RC,
    8. Trojanowski JQ
    (2010) Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade. Lancet Neurol 9:119–128, doi:10.1016/S1474-4422(09)70299-6, pmid:20083042.
    OpenUrlCrossRefPubMed
  15. ↵
    1. Jacobsen JS,
    2. Wu CC,
    3. Redwine JM,
    4. Comery TA,
    5. Arias R,
    6. Bowlby M,
    7. Martone R,
    8. Morrison JH,
    9. Pangalos MN,
    10. Reinhart PH,
    11. Bloom FE
    (2006) Early-onset behavioral and synaptic deficits in a mouse model of Alzheimer's disease. Proc Natl Acad Sci U S A 103:5161–5166, doi:10.1073/pnas.0600948103, pmid:16549764.
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Kamenetz F,
    2. Tomita T,
    3. Hsieh H,
    4. Seabrook G,
    5. Borchelt D,
    6. Iwatsubo T,
    7. Sisodia S,
    8. Malinow R
    (2003) APP processing and synaptic function. Neuron 37:925–937, doi:10.1016/S0896-6273(03)00124-7, pmid:12670422.
    OpenUrlCrossRefPubMed
  17. ↵
    1. King DL,
    2. Arendash GW
    (2002) Behavioral characterization of the Tg2576 transgenic model of Alzheimer's disease through 19 months. Physiol Behav 75:627–642, doi:10.1016/S0031-9384(02)00639-X, pmid:12020728.
    OpenUrlCrossRefPubMed
  18. ↵
    1. Kitamura T,
    2. Pignatelli M,
    3. Suh J,
    4. Kohara K,
    5. Yoshiki A,
    6. Abe K,
    7. Tonegawa S
    (2014) Island cells control temporal association memory. Science 343:896–901, doi:10.1126/science.1244634, pmid:24457215.
    OpenUrlAbstract/FREE Full Text
  19. ↵
    1. Langston RF,
    2. Ainge JA,
    3. Couey JJ,
    4. Canto CB,
    5. Bjerknes TL,
    6. Witter MP,
    7. Moser EI,
    8. Moser MB
    (2010) Development of the spatial representation system in the rat. Science 328:1576–1580, doi:10.1126/science.1188210, pmid:20558721.
    OpenUrlAbstract/FREE Full Text
  20. ↵
    1. Lesné S,
    2. Koh MT,
    3. Kotilinek L,
    4. Kayed R,
    5. Glabe CG,
    6. Yang A,
    7. Gallagher M,
    8. Ashe KH
    (2006) A specific amyloid-beta protein assembly in the brain impairs memory. Nature 440:352–357, doi:10.1038/nature04533, pmid:16541076.
    OpenUrlCrossRefPubMed
  21. ↵
    1. Lindner MD,
    2. Hogan JB,
    3. Krause RG,
    4. Machet F,
    5. Bourin C,
    6. Hodges DB Jr.,
    7. Corsa JA,
    8. Barten DM,
    9. Toyn JH,
    10. Stock DA,
    11. Rose GM,
    12. Gribkoff VK
    (2006) Soluble Aβ and cognitive function in aged F-344 rats and Tg2576 mice. Behav Brain Res 173:62–75, doi:10.1016/j.bbr.2006.06.003, pmid:16828889.
    OpenUrlCrossRefPubMed
  22. ↵
    1. Oddo S,
    2. Caccamo A,
    3. Shepherd JD,
    4. Murphy MP,
    5. Golde TE,
    6. Kayed R,
    7. Metherate R,
    8. Mattson MP,
    9. Akbari Y,
    10. LaFerla FM
    (2003) Triple-transgenic model of Alzheimer's disease with plaques and tangles: intracellular Aβ and synaptic dysfunction. Neuron 39:409–421, doi:10.1016/S0896-6273(03)00434-3, pmid:12895417.
    OpenUrlCrossRefPubMed
  23. ↵
    1. Palop JJ,
    2. Mucke L
    (2009) Epilepsy and cognitive impairments in Alzheimer disease. Arch Neurol 66:435–440, doi:10.1001/archneurol.2009.15, pmid:19204149.
    OpenUrlCrossRefPubMed
  24. ↵
    1. Pei L,
    2. Wang S,
    3. Jin H,
    4. Bi L,
    5. Wei N,
    6. Yan H,
    7. Yang X,
    8. Yao C,
    9. Xu M,
    10. Shu S,
    11. Guo Y,
    12. Yan H,
    13. Wu J,
    14. Li H,
    15. Pang P,
    16. Tian T,
    17. Tian Q,
    18. Zhu LQ,
    19. Shang Y,
    20. Lu Y
    (2015) A novel mechanism of spine damages in stroke via DAPK1 and tau. Cereb Cortex 25:4559–4571, doi:10.1093/cercor/bhv096, pmid:25995053.
    OpenUrlAbstract/FREE Full Text
  25. ↵
    1. Scheff SW,
    2. Price DA,
    3. Schmitt FA,
    4. DeKosky ST,
    5. Mufson EJ
    (2007) Synaptic alterations in CA1 in mild Alzheimer disease and mild cognitive impairment. Neurology 68:1501–1508, doi:10.1212/01.wnl.0000260698.46517.8f, pmid:17470753.
    OpenUrlCrossRefPubMed
  26. ↵
    1. Shohat G,
    2. Spivak-Kroizman T,
    3. Cohen O,
    4. Bialik S,
    5. Shani G,
    6. Berrisi H,
    7. Eisenstein M,
    8. Kimchi A
    (2001) The pro-apoptotic function of death-associated protein kinase is controlled by a unique inhibitory autophosphorylation-based mechanism. J Biol Chem 276:47460–47467, doi:10.1074/jbc.M105133200, pmid:11579085.
    OpenUrlAbstract/FREE Full Text
  27. ↵
    1. Spires-Jones TL,
    2. Hyman BT
    (2014) The intersection of amyloid beta and tau at synapses in Alzheimer's disease. Neuron 82:756–771, doi:10.1016/j.neuron.2014.05.004, pmid:24853936.
    OpenUrlCrossRefPubMed
  28. ↵
    1. Tanzi RE,
    2. Gusella JF,
    3. Watkins PC,
    4. Bruns GA,
    5. St George-Hyslop P,
    6. Van Keuren ML,
    7. Patterson D,
    8. Pagan S,
    9. Kurnit DM,
    10. Neve RL
    (1987) Amyloid beta protein gene: cDNA, mRNA distribution, and genetic linkage near the Alzheimer locus. Science 235:880–884, doi:10.1126/science.2949367, pmid:2949367.
    OpenUrlAbstract/FREE Full Text
  29. ↵
    1. Tu W,
    2. Xu X,
    3. Peng L,
    4. Zhong X,
    5. Zhang W,
    6. Soundarapandian MM,
    7. Balel C,
    8. Wang M,
    9. Jia N,
    10. Zhang W,
    11. Lew F,
    12. Chan SL,
    13. Chen Y,
    14. Lu Y
    (2010) DAPK1 interaction with NMDA receptor NR2B subunits mediates brain damage in stroke. Cell 140:222–234, doi:10.1016/j.cell.2009.12.055, pmid:20141836.
    OpenUrlCrossRefPubMed
  30. ↵
    1. Yang X,
    2. Yao C,
    3. Tian T,
    4. Li X,
    5. Yan H,
    6. Wu J,
    7. Li H,
    8. Pei L,
    9. Liu D,
    10. Tian Q,
    11. Zhu IQ,
    12. Lu Y
    (2016) A novel mechanism of a memory loss in Alzheimer's disease mice via degeneration of entorhinal-CA1 synapses. Mol Psychiatry, in press.
  31. ↵
    1. Yassa MA
    (2014) Ground zero in Alzheimer's disease. Nat Neurosci 17:146–147, doi:10.1038/nn.3631, pmid:24473258.
    OpenUrlCrossRefPubMed
Back to top

In this issue

The Journal of Neuroscience: 36 (42)
Journal of Neuroscience
Vol. 36, Issue 42
19 Oct 2016
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Advertising (PDF)
  • Ed Board (PDF)
Email

Thank you for sharing this Journal of Neuroscience article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Selective Degeneration of Entorhinal-CA1 Synapses in Alzheimer's Disease via Activation of DAPK1
(Your Name) has forwarded a page to you from Journal of Neuroscience
(Your Name) thought you would be interested in this article in Journal of Neuroscience.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Selective Degeneration of Entorhinal-CA1 Synapses in Alzheimer's Disease via Activation of DAPK1
Shu Shu, Houze Zhu, Na Tang, Wenting Chen, Xinyan Li, Hao Li, Lei Pei, Dan Liu, Yangling Mu, Qing Tian, Ling-Qiang Zhu, Youming Lu
Journal of Neuroscience 19 October 2016, 36 (42) 10843-10852; DOI: 10.1523/JNEUROSCI.2258-16.2016

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Request Permissions
Share
Selective Degeneration of Entorhinal-CA1 Synapses in Alzheimer's Disease via Activation of DAPK1
Shu Shu, Houze Zhu, Na Tang, Wenting Chen, Xinyan Li, Hao Li, Lei Pei, Dan Liu, Yangling Mu, Qing Tian, Ling-Qiang Zhu, Youming Lu
Journal of Neuroscience 19 October 2016, 36 (42) 10843-10852; DOI: 10.1523/JNEUROSCI.2258-16.2016
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • Alzheimers’ disease
  • DAPK1
  • learning and memory
  • synaptic degeneration

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

Research Articles

  • Elevated TNF-α Leads to Neural Circuit Instability in the Absence of Interferon Regulatory Factor 8
  • Maturational Indices of the Cognitive Control Network Are Associated with Inhibitory Control in Early Childhood
  • The MAP3Ks DLK and LZK Direct Diverse Responses to Axon Damage in Zebrafish Peripheral Neurons
Show more Research Articles

Neurobiology of Disease

  • Altered Cortical Trigeminal Fields Excitability by Spreading Depolarization Revealed with in Vivo Functional Ultrasound Imaging Combined with Electrophysiology
  • Downregulating PTBP1 fails to convert astrocytes into hippocampal neurons and to alleviate symptoms in Alzheimer’s mouse models
  • Shared and distinct functional effects of patient-specific Tbr1 mutations on cortical development
Show more Neurobiology of Disease
  • Home
  • Alerts
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Issue Archive
  • Collections

Information

  • For Authors
  • For Advertisers
  • For the Media
  • For Subscribers

About

  • About the Journal
  • Editorial Board
  • Privacy Policy
  • Contact
(JNeurosci logo)
(SfN logo)

Copyright © 2022 by the Society for Neuroscience.
JNeurosci Online ISSN: 1529-2401

The ideas and opinions expressed in JNeurosci do not necessarily reflect those of SfN or the JNeurosci Editorial Board. Publication of an advertisement or other product mention in JNeurosci should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in JNeurosci.