Impact of amyloid β aggregate maturation on antibody treatment in APP23 mice
- Karthikeyan Balakrishnan†1,
- Ajeet Rijal Upadhaya†1,
- Julia Steinmetz†1,
- Julia Reichwald2,
- Dorothee Abramowski2,
- Marcus Fändrich3,
- Sathish Kumar4,
- Haruyasu Yamaguchi5,
- Jochen Walter4,
- Matthias Staufenbiel2, 6 and
- Dietmar Rudolf Thal1Email author
© Balakrishnan et al. 2015
Received: 8 June 2015
Accepted: 8 June 2015
Published: 4 July 2015
The deposition of the amyloid β protein (Aβ) in the brain is a hallmark of Alzheimer's disease (AD). Removal of Aβ by Aβ-antibody treatment has been developed as a potential treatment strategy against AD. First clinical trials showed neither a stop nor a reduction of disease progression. Recently, we have shown that the formation of soluble and insoluble Aβ aggregates in the human brain follows a hierarchical sequence of three biochemical maturation stages (B-Aβ stages). To test the impact of the B-Aβ stage on Aβ immunotherapy, we treated transgenic mice expressing human amyloid precursor protein (APP) carrying the Swedish mutation (KM670/671NL; APP23) with the Aβ-antibody β1 or phosphate-buffered saline (PBS) beginning 1) at 3 months, before the onset of dendrite degeneration and plaque deposition, and 2) at 7 months, after the start of Aβ plaque deposition and dendrite degeneration.
At 5 months of age, first Aβ aggregates in APP23 brain consisted of non-modified Aβ (representing B-Aβ stage 1) whereas mature Aβ-aggregates containing N-terminal truncated, pyroglutamate-modified AβN3pE and phosphorylated Aβ (representing B-Aβ stage 3) were found at 11 months of age in both β1- and PBS-treated animals. Protective effects on commissural neurons with highly ramified dendritic trees were observed only in 3-month-old β1-treated animals sacrificed at 5 months. When treatment started at 7 months of age, no differences in the numbers of healthy commissural neurons were observed between β1- and PBS-treated APP23 mice sacrificed with 11 months.
Aβ antibody treatment was capable of protecting neurons from dendritic degeneration as long as Aβ aggregation was absent or represented B-Aβ stage 1 but had no protective or curative effect in later stages with mature Aβ aggregates (B-Aβ stage 3). These data indicate that the maturation stage of Aβ aggregates has impact on potential treatment effects in APP23 mice.
The deposition of the amyloid β-protein (Aβ) in senile plaques is one of the hallmarks of Alzheimer’s disease (AD) [1, 2]. Active and passive immunization against the Aβ peptide has been developed to treat AD [3, 4]. In amyloid precursor protein (APP) transgenic mice, peripheral administration of Aβ-antibodies lead to a reduced number of detectable plaques and prevented a further increase in the number of detectable Aβ plaques [3, 5]. Even the amount of fibrillar, Thioflavin S-positive plaques was reduced in anti-Aβ treated animals . However, another group could not confirm Aβ reduction though an improvement of memory dysfunction was observed [7–9]. Active immunization in PDAPP mice demonstrated more effective rescue from cognitive impairment when treatment was started to prevent Aβ pathology compared to mice treated at a later point in life in a reversal trial . First trials of active and passive Aβ immunization in AD patients, however, did not show a reduction of symptoms or prevention from further disease progression [11–16].
Given the discrepancy between the reduction of stained plaques and memory improvement in APP transgenic mice and the clinical disease progression in AD patients the question arises whether Aβ immunization failed in AD patients because treatment was started too late after the onset of morphologically detectable neurodegeneration. Recently, we reported biochemical stages of Aβ aggregate maturation (B-Aβ stages) in the course of preclinical and symptomatic AD . In addition to the most abundant forms of Aβ, i.e. Aβ1–40 and Aβ1–42, posttranslational modifications of Aβ have been identified in Aβ aggregates, including N-terminal truncations and pyroglutamate modifications at residues 3 or 11 (AβN3pE and AβN11pE) and phosphorylation at Serine residue 8 (pAβ) [18–20]. The presence of AβN3pE, thereby, indicates B-Aβ stage 2 and that of pAβ B-Aβ stage 3 . It is not yet clear whether the B-Aβ stage has impact on the effect of Aβ-antibody treatment and whether maturation of Aβ aggregates explains the failure of treatment trials in AD patients.
To address these questions in a mouse model we chose APP23 mice, which overexpress human APP with the Swedish mutation (KM670/671NL) driven by a Thy1 promoter . These mice produce soluble and insoluble Aβ aggregates, Aβ plaques and they show neuron loss in CA1, loss of asymmetric synapses in the frontocentral neocortex [22, 23] as well as more subtle degeneration of a subtype of layer III commissural neurons in the frontocentral neocortex, i.e. the degeneration of commissural neurons with a highly ramified dendritic tree. Degeneration of these highly ramified commissural neurons was seen as early as at 5 months of age in parallel with the onset of Aβ plaque deposition whereas no such changes were reported at 3 months of age in the absence of Aβ aggregates . Degeneration of axons of commissural neurons represents the morphological correlative for corpus callosum atrophy, which is an early event in the pathogenesis of AD [25–27]. As such, these mice showing early degeneration of commissural neurons are ideally suited to study the effects of Aβ-antibody treatment on these Aβ-related neurodegenerative changes.
In this study, we treated APP23 mice with the Aβ-antibody β1 (Additional file 1: Table S1) beginning 1) at 3 months of age before the onset of plaque deposition and degeneration of commissural neurons and 2) at 7 months of age after plaque deposition and neurodegeneration started. The β1 antibody is directed against the N-terminus of Aβ and capable of preventing Aβ deposition in APP23 mice when it is transgenetically expressed . The treated animals were sacrificed and the samples were analyzed 1) with 5 months - when first plaques and early dendrite degeneration can be identified in APP 23 mice - to detect protective effects and 2) with 11 months to clarify whether β1 antibody treatment allows recovery of altered highly ramified commissural neurons after a 4-month-treatment period. PBS-treated animals were used as controls.
Material and methods
APP23 mice were generated as described previously  and continuously back-crossed to C57BL/6. The murine Thy-1 cassette was used to drive neuron-specific expression of human APP751 with the Swedish double mutation 670/671 KM → NL. Heterozygous female APP23 mice of two age groups, 3 months (n = 44) and 7 months, (n = 39) were treated in this study and analyzed at 5 and 11 months of age, respectively. Animals were treated in agreement with German and Swiss laws on the use of laboratory animals.
Passive vaccination was performed in APP23 mice by weekly intraperitoneal (i.p.) injections of 500 μg of β1-anti-Aβ antibody  (Additional file 1: Table S1). As control group, APP23 mice received weekly i.p. injections of phosphate-buffered saline (PBS).
3-month-old animals were treated for 9 weeks, until 5 months of age, and were sacrificed 2–3 days after the last injection (β1: n = 21, PBS: n = 23). 7-month-old mice received injections for 12 weeks, until the age of 11 months, and were sacrificed for analysis 5–6 days after the last injection (β1: n = 21, PBS: n = 18). Animal experiments were carried out with permission of the Regierungspräsidium Tübingen/Germany (Permission: Animal Experiment No. 933) and the Animal Care and Use Committees of the Kanton Basel, Switzerland (Permission 1980).
Tissue preparation and DiI tracing
For DiI tracing and histopathological examinations, the brains of 5 and 11-months-old β1-treated and PBS-treated animals were used (5 months – β1: n = 9, PBS: n = 10; 11 months – β1: n = 10; PBS: n = 10). Mice were anesthetized and perfusion was performed transcardially with Tris-buffered saline (TBS) with heparin (pH 7.4) followed by the injection of 0.1 M PBS (pH 7.4) containing 2.6 % paraformaldehyde (PFA), 0.8 % iodoacetic acid, 0.8 % sodium periodate and 0.1 M D-L lysine. The brains were removed in total and post-fixed in 2.6 % phosphate-buffered PFA (pH 7.4) containing 0.8 % iodoacetic acid, 0.8 % sodium periodate and 0.1 M D-L lysine . After 3 days, a single crystal (0.3 mm3) of the carbocyanine dye DiI (Molecular Probes, Eugene, OR, USA) was implanted into the left frontocentral cortex, 1 mm rostrally from the central sulcus, 2 mm laterally from the middle line and 1 mm deep in the cortex as reported earlier . This dye allows precise Golgi-like tracing of neurons in post-mortem fixed tissue in a quality similar to in-vivo tracing methods . After incubation in 2.6 % phosphate-buffered PFA for at least 3 months at 37 °C, 100 μm thick coronal vibratome sections were cut. All sections of a given mouse brain were separately stored and continuously numbered. Sections were temporarily mounted in TBS for microscopic analysis.
Microscopic and quantitative analysis
In layer III of the frontocentral cortex of the right hemisphere, contralateral to the implantation site of the tracer, the morphology of traced commissural neurons was examined. The traced neurons were assigned to different types according to their morphology  (Additional file 2: Table S2). Then the number of traced commissural neurons of each type in β1-treated APP23 mice was counted and compared with that in PBS-treated APP23 mice. For qualitative and quantitative analysis, 10 consecutive sections (100-μm thickness each) representing a tissue block of 1 mm thickness were studied for each mouse. Analysis started at the anterior commissure setting the caudal limit of the investigated tissue block. For each coronal section, the medial boundary of the region investigated was set as the vertical line at the cingulum that separated the cingulate cortex from secondary motor cortex (M2). The horizontal boundary was set as the horizontal line separating the primary somatosensory cortex (S1) from the insular cortex.
For the qualitative analysis, a laser scanning confocal microscope (Leica TCS NT, Leica, Bensheim, Germany) was used. Stacks of 2D images were superimposed digitally using the ImageJ image processing and analysis software (National Institutes of Health (NIH), Bethesda, MD, USA), and 3D data sets were generated for the visualization of neurons with their entire dendritic tree. For quantification, traced neurons in layer III were counted in the region of interest in 10 consecutive sections of the tissue block taken for qualitative and quantitative analysis using a fluorescence microscope (Leica DMLB, Leica, Germany). In so doing, we analyzed a cortex volume of 5–6 mm3 in each mouse. Mean and median values of the number of traced neurons were calculated and compared between β1-treated and PBS-treated APP23 mice of a given age.
Morphological and immunohistochemical analysis were carried out on sections of the traced animals after obtaining the tracing results. Vibratome sections of the frontocentral cortex were immunostained with anti-Aβ17–24, anti-Aβ1–17, anti-Aβ42, anti-Aβ40, anti-AβN3pE, anti-pAβ, anti-Aβ-β1, anti-APP, anti-mouse-IgG, anti-glial fibrillary acidic protein (GFAP) and the microglia marker iba-1 [18, 19, 29, 31, 32] (Additional file 1: Table S1). The primary antibodies were detected with the respective biotinylated anti-mouse and anti-rabbit IgG secondary antibodies and visualized with the ABC-complex (ABC-Kit, Vector Laboratories, Burlingame, CA, USA) and diaminobencidine-HCl (DAB) as chromogen. To avoid crossreactivity of intrinsic IgG with anti-mouse-IgG secondary antibodies, sections were preincubated with goat-anti-mouse-IgG . Protofibrils and fibrils were detected with B10AP-antibody fragments coupled with alkaline phosphatase . They were visualized with permanent red (DAKO, Glostrup, Denmark). For immunofluorescence, rabbit primary antibodies were detected with carbocyanine 3 (Cy3)-labeled anti-rabbit-IgG secondary antibodies whereas mouse IgG was detected with Cy2-labeled anti-mouse IgG antibodies without previous anti-mouse-IgG blocking to allow the detection of intrinsic IgGs. Amyloid material was identified in the double stained section by UV-light-induced amyloid autofluorescence, i.e. detection of unstained amyloid material by fluorescence microscopy (excitation filter: 360–370 nm; emission filter: > 420 nm) . Respective positive and negative controls were performed.
Quantification of plaque loads for Aβ42-, Aβ40-, AβN3pE-, pAβ-, β1- and B10AP-positive plaques
Aβ42 load was determined as the percentage of the area in the frontocentral cortex covered by Aβ plaques detected with anti-Aβ42 antibodies. Morphometry for Aβ42 load determination was performed using ImageJ image processing and analysis software by interactive measurement of plaque areas in a region of interest as well as of the total area of interest. The plaque load was calculated as the percentage of the area of interest covered by amyloid plaques stained with the antibody (National Institutes of Health, Bethesda, USA) . Accordingly, the Aβ40, AβN3pE, pAβ, Aβ1–17, β1 and B10AP loads were determined as the percentage of the frontocentral cortex area covered by plaques positive for the respective antibodies.
Protein extraction from brain tissue and serum
For biochemistry, deeply anesthetized mice were sacrificed by decapitation. Blood was collected after decapitation. Serum was isolated after centrifugation at 3000 × g for 30 min at room temperature. Serum samples were immediately frozen at −80 °C until the performance of the experiments. The brains were taken, dissected, and unfixed left and right hemispheres as well as the brain stem and the cerebellum were kept separately at −80 °C for further analysis.
Protein extraction from frozen brain samples of 5- and 11-month-old APP23 treated with β1-antibodies (5 months: n = 12, 11 months: n = 11) or PBS (5 months: n = 13, 11 months: n = 8) was carried out for biochemical studies [17, 23]. Briefly, fresh frozen forebrain tissue samples (0.4 g) were homogenized in 2 ml of 0.32 M sucrose dissolved in Tris-buffered saline (TBS) containing a protease and phosphatase inhibitor-cocktail (Complete and PhosSTOP, Roche, Mannheim, Germany) with Micropestle (Eppendorf, Hamburg, Germany) followed by sonication. The homogenate was centrifuged for 30 min at 14,000 × g at 4 °C. The supernatant (S1), containing both the soluble and dispersible fraction was kept for further ultracentrifugation. The pellet (P1) containing the membrane-associated and the insoluble, plaque-associated fraction was resuspended in 2 % SDS. Ultracentrifuging of the supernatant S1 at 175,000 × g was used to separate the soluble, i.e. the supernatant after ultracentrifuging (S2), from the dispersible fraction, i.e. the resulting pellet (P2). The pellet P2 with the dispersible fraction was resuspended in TBS.
The SDS-resuspended pellet P1 was centrifuged at 14,000 × g the supernatant (S3) was kept as membrane-associated SDS-soluble fraction. The pellet (P3) that remained was dissolved in 70 % formic acid and dried in a vacuum centrifuge (Vacufuge, Eppendorf, Hamburg, Germany) and reconstituted in 100 μl of 2X LDS (lithium dodecyl sulfate) sample buffer (Life Technologies, Carlsbad, CA, USA) followed by heating at 70 °C for 5 min. The resultant sample was considered as insoluble, plaque-associated fraction . The total protein amounts of soluble, dispersible, and membrane-associated fractions were determined using BCA Protein Assay (Bio-Rad, Hercules, CA, USA).
For immunoprecipitation (IP), 200 μl of the native soluble and dispersible fractions from the brain lysates were incubated with 1 μl A11 antibodies against non-fibrillar oligomers, or 5 μl B10AP antibody fragments for precipitation of protofibrils and fibrils (Additional file 1: Table S1) or were kept without adding antibodies to identify already antibody-bound Aβ. 50 μl of protein G-coated Microbeads (Miltenyi Biotec, Bergisch-Gladbach, Germany) were added to the mixture and incubated overnight at 4 °C. The mixture was then passed through the μColumns, which separate the microbeads by retaining them in the column, while the rest of the lysate flows through. After one mild washing step with 1X TBS at pH 7.4 the microbead-bound-proteins were eluted with 95 °C heated 1X LDS sample buffer (Life Technologies, Carlsbad, CA, USA).
SDS-PAGE and Western blot analysis
For SDS-PAGE, soluble (S2), dispersible (P2), membrane-associated (SDS-soluble; S3), insoluble, plaque-associated (formic acid soluble; P3) fractions and IP eluates (50 μg total protein) were electrophoretically resolved in a precast NuPAGE 4–12 % Bis-Tris gel system (Life Technologies, Carlsbad, CA, USA). Proteins were transferred onto Nitrocellulose membrane and membranes were boiled in 1X PBS for 5 min. The protein load was controlled either by Ponceau S staining (C4, 1/1000, Santa Cruz Biotechnology, Santa Cruz, CA, USA) or by MemCode reversible protein stain kit (Pierce, Rockford, IL, USA) prior to immunoblotting.
Aβ was detected by western blotting with anti-Aβ1–17, anti-pAβ and anti-AβN3pE antibodies (Additional file 1: Table S1). Blots were incubated with chemiluminescent ECL detection system (Supersignal Pico Western system, ThermoScientific-Pierce, Waltham, MA, USA) or Luminata Forte Western HRP substrate (Merck Millipore, Billerica, Massachusetts, USA) and acquired using either ECL Hyperfilm (GE Healthcare, Buckinghamshire, UK) or CCD imager Image Quant LAS 4000 (GE Healthcare, Buckinghamshire, UK). Since anti-Aβ1–17 also stains APP we used the respective protein bands corresponding to ~110 kDa seen with this antibody as internal loading control to verify the protein content.
Because Aβ aggregates readily dissociate in the presence of SDS-containing buffers into monomers and small oligomers, such as dimers, trimers, or Aβ*56 [37, 38], we analyzed differences among the monomer bands that indicate changes in the protein levels of precipitated Aβ aggregates densitometrically using ImageJ software (NIH, Bethesda, MD, USA). This method allows a semiquantitative assessment of Aβ . Briefly, the X-ray films were scanned and image colors were inverted or the images acquired by CCD imager were exported as 8-bit grayscale TIFF files. The relative protein levels of the monomer bands were measured as integrated density values for each lane .
Biochemical stages of Aβ aggregation (B-Aβ stages) were determined on the basis of Aβ, AβN3pE and pAβ detection in the soluble, dispersible, membrane-associated, and plaque-associated fraction : B-Aβ stage 1 = Aβ aggregates detected only with anti-Aβ1–17; B-Aβ stage 2 = Aβ aggregates positive for anti-Aβ1–17 and anti-AβN3pE but not for anti-pAβ; B-Aβ stage 3 = Aβ aggregates containing anti-Aβ1–17-, anti-AβN3pE- and anti-pAβ-positive material.
Six β1-treated and six PBS-treated APP23 mice at the ages of 5 and 11 months, respectively, were chosen randomly for stereology. One brain section including the hippocampal formation already quantified for the number of DiI-traced neurons was selected by chance and stained with aldehyde fuchsin-Darrow red. Quantification of neurons was performed according to the principles of unbiased stereology . The CA1 volume was measured in serial 100 μm thick sections of the entire mouse brain at 5 × magnification. Neurons were counted in three different, randomly chosen microscopic fields (40 × objective magnification) of an aldehyde fuchsin – Darrow red stained section of the frontocentral cortex and CA1, respectively. For optical dissection, stacks of 10 images in 2 μm focus distance were generated for each microscopic field. Only those neurons having nuclei with dark and round nucleoli visible in the center of soma in one of the stack-images were considered for quantification using the ImageJ software (NIH, Bethesda, USA). The number of neurons in the frontocentral cortex and CA1 was calculated on the basis of the respective reference volumes and neuron densities as previously published .
Electron microscopy, immunoelectron microscopy and semiquantitative assessment of synapse densities
100 μm thick vibratome sections of the frontocentral cortex from six β1-treated and six PBS-treated APP23 mice, aged 5 and 11 months, respectively, were flat-embedded in Epon (Fluka, Germany). A part of the of the frontocentral cortex covering all six layers was cut and pasted on a second Epon block ultrathin sections were cut at 70 nm. Epon sections were block stained with uranyl acetate and lead citrate, and viewed with a Zeiss EM10 (Zeiss, Oberkochen, Germany), or a JEM-1400 (JEOL, Tokyo, JP) electron microscope. Digital pictures were taken.
Synaptic densities in the frontocentral cortex were measured in 20 randomly taken pictures of the layers II-VI at 4600-times magnification. The numbers of the symmetric and asymmetric synapses were counted and the length of the synapses was determined with the ImageJ software (NIH, Bethesda, USA). The synaptic density was determined separately for symmetric and asymmetric synapses according to DeFelipe et al.  (synaptic density = number of synapse-profiles in a given area / length of synaptic profiles). These semiquantitative data were used to compare the synaptic densities between the different mouse lines. Asymmetric and symmetric synapses were distinguished according to published criteria [43, 44].
SPSS 21.0 (SPSS, Chicago, IL, USA) software was used to calculate statistical tests. Non-parametric tests were used to compare β1-treated and PBS-treated APP23 mice. p-values were corrected for multiple testing using the Bonferroni-method. Parametric data were analyzed by ANOVA with subsequent Games-Howell post-hoc test to correct for multiple testing or by using the Welch test. The results of the statistical analysis are summarized in Additional file 3: Table S3.
Neurodegeneration in β1-treated and PBS-treated APP23 mice
Significant differences in the synapse densities of asymmetric and symmetric synapses in the frontocentral cortex as well as differences in the numbers of CA1 neurons were not observed between β1-treated and PBS-treated animals in both age groups (Additional file 3: Table S3b, c and Additional file 4: Figure S1).
Aβ plaques in β1-treated and PBS-treated APP23 mice
Brain Aβ, AβN3pE, and pAβ in β1-treated and PBS-treated APP23 mice
In 5-month-old APP23 mice, irrespective of the treatment, no AβN3pE and no pAβ was detected, in the soluble and dispersible fraction of samples immunoprecipitated with A11 or B10AP. Similarly, in 11-month-old mice, AβN3pE and pAβ were not detected in A11 and B10AP immunoprecipitated oligomers, protofibrils and fibrils from the soluble fraction. AβN3pE and pAβ were found in the dispersible fraction in Aβ protofibrils and fibrils precipitated with B10AP at 11 months of age but without significant differences among β1- and PBS-treated animals (Fig. 5, Additional file 3: Table S3f and Additional file 9: Figure S6). There was no detectable AβN3pE in both groups of 11-month-old mice in the dispersible fractions immunoprecipitated with non-fibrillar Aβ oligomer-specific A11 antibodies but pAβ was observed in β1- and PBS-treated mice (Fig. 5, Additional file 3: Table S3f and Additional file 9: Figure S6).
Detection of Aβ in the blood serum of β1-treated and PBS-treated APP23 mice
Thus, it is tempting to speculate that Aβ-antibody treatment with the β1-antibody is most effective in early stages of Aβ aggregate maturation whereas late stage aggregates containing AβN3pE and pAβ may preclude sufficient clearance. In the following paragraphs, we discuss the hypothesis that biochemical maturation of Aβ aggregates modifies its response to antibody treatment in detail.
Protective effects of β1-antibody treatment in APP23 mice without preexisting pathology (Fig. 8)
Our study showed that β1 Aβ antibody treatment protected APP23 mice from severe dendrite degeneration in type 1 commissural neurons when treatment was started at 3 months before Aβ and dendrite pathology develop in this mouse model . Such an effect was not observed when treatment was started later, i.e. after the onset of Aβ plaque pathology and type 1 commissural neuron degeneration with 7 months of age. This finding is in line with a previous report showing the absence of beneficial effects after γ-secretase treatment in mice with preexisting plaques . The fact that only tracing of commissural neurons revealed differences between β1- and PBS-treated APP23 mice but neither CA1 neuron numbers nor synapse densities in the frontocentral cortex as further markers for neurodegeneration appear to be related to the APP23 mouse model. Different types of neurons differ with respect to their vulnerability to Aβ-related neurodegeneration in APP23 mice  and the type 1 commissural neurons are among the most vulnerable neurons in the frontocentral neocortex. Accordingly, degeneration of these neurons is a very sensitive indicator for Aβ-induced neurodegeneration in the APP23 mouse model that allows the detection of differences in Aβ-related neurodegeneration before other readouts such as synapse densities and neuron numbers become positive. It is important to note that the APP23 mouse is, in contrast to other APP-transgenic mice, the only APP-transgenic mouse that shows neuron loss, synapse loss, and dendritic degeneration [22, 24, 41]. Other mouse models showing such signs of neurodegeneration do not only express APP as the APP23 mouse but also presenilin 1 or τ that can also be responsible for neurodegeneration [46, 47]. As such our study in APP23 mice shows that morphological alterations of dendrites presumably caused by Aβ aggregates were subject of protection by immunotherapy but were not repaired once the neurons were fallen victim to degeneration.
Our finding of soluble antibody-bound Aβ-containing oligomers, protofibrils and fibrils as detected by immunoprecipitation in 5-month-old β1-treated APP23 mice that were not seen in PBS-treated animals indicates that β1-antibody treatment increases soluble Aβ aggregates. The antibody may stabilize existing soluble aggregates similar to blood Aβ [48, 49]. An enhancement of Aβ-aggregation cannot be excluded. The lack of degeneration suggests that such soluble Aβ-IgG aggregates are less pathogenic and may become subject of clearance. No antibody-bound Aβ aggregates were found in the blood of 5-month-old APP23 mice. The increase of antibody-bound Aβ in the blood of 11-month-old β1-treated APP23 mice but not in PBS-treated animals most likely reflects stabilization of plasma Aβ as previously described [48, 49]. No modified forms of Aβ were detected in the soluble fraction of 5- and 11-month old mice and in the blood due to their respective low concentrations or due to inefficient β1-antibody binding. β1-treatment did not cause a shift in soluble and insoluble Aβ aggregates in 11-month-old APP23 mice exhibiting AβN3pE and pAβ. A possible explanation for the lack of a treatment effect on Aβ aggregates in 11-month-old APP23 mice may be the property of AβN3pE and pAβ to stabilize Aβ aggregates in-vitro [18, 50] and, in so doing, to preclude sufficient antibody treatment effects as shown here.
Since the APP23 mouse is a mouse model that showed morphological signs of neurodegeneration with neuron loss in CA1 , reduction of asymmetric synapse densities , and dendritic degeneration in commissural neurons  this mouse model appears to be useful to study morphological signs of Aβ-related neurotoxicity to better understand the lack of improvement in anti-Aβ treated patients [11, 14, 16]. In this context, our results suggest that treatment attempts in already demented individuals exhibiting mature Aβ aggregates in the B-Aβ-stage 3 indicated by AβN3pE and pAβ as its components  may not be successful because 1. irreversible degenerative changes already took place and 2. mature Aβ aggregates in B-Aβ stage 3 prevail , which were not removed by β1-antibody treatment in APP23 mice as described here. Accordingly, treatment strategies aimed at protecting from Aβ maturation and early Aβ-related neurodegenerative effects appear to be more attractive than those targeting non-modified forms of Aβ including oligomeric, protofibrillar and fibrillar aggregates.
Moreover, in human symptomatic AD cases in addition to Aβ plaque pathology, there are already high amounts of neurofibrillary tangles as well as severe neuron and synapse loss. As such, the amount of brain damage at this stage of the disease is significant. Given that most degenerating neurons are post-mitotic cells and will not be replaced  and that presence of Aβ plaques and neurofibrillary tangles induces gliosis [52–56] compensation or reconstruction of these lesions is very unlikely. Therefore, it is tempting to speculate that early B-Aβ stage preclinical AD cases are best suited to protect from or slow down progression of the disease as shown in 3-months-old β1-treated APP23 mice sacrificed at 5 months of age. Findings in APP23-β1-double transgenic mice clearly demonstrate that an efficient protective effect of the β1-antibody is possible in the initial stage of Aβ aggregation .
Effects of β1-antibody treatment on Aβ aggregates in animals with preexisting pathology
β1-antibody treatment of APP23 mice between 7 and 11 months neither led to any improvement of neurodegenerative lesions nor to changes in the levels of soluble or the insoluble types of Aβ aggregates or in Aβ plaque-loads (Fig. 8). Modified forms of Aβ occurred in PBS- and β1-treated APP23 mice in similar amounts (Fig. 8). Interestingly, detection of Aβ plaques in β1-treated mice was attenuated for staining with the β1-antibody and the B10AP antibody fragments recognizing protofibril/ fibril-related epitopes. In contrast, immunoprecipitation of soluble and dispersible fractions with A11 and B10AP revealed similar levels of soluble and dispersible Aβ oligomers, protofibrils and fibrils. It is tempting to speculate that β1 antibody bound to plaques to a certain extent blocked binding of further β1 and B10AP antibodies. This finding is in agreement with the binding of intravenously injected β1 antibody to preexisting plaques in APP23 mice .
However, immunoprecipitation of antibody-bound peptides by incubating brain homogenates with protein G-coated beads revealed no significant differences between 11-month-old immunized and non-immunized animals although antibody-bound Aβ was immunoprecipitated in the serum of β1-treated animals in contrast to PBS-treated ones. The unexpected finding of IgG in plaques and bound to Aβ aggregates in PBS-treated and β1-treated animals in similar amounts may be explained by naturally occurring autoantibodies that interact with amyloid plaques in APP23 mice as previously demonstrated in AD patients [57, 58]. Further evidence in favor of this interpretation is provided by our finding that IgG was detected immunohistochemically in plaques of PBS- and β1-treated animals in similar amounts and pattern.
Aspects of Aβ maturation for Aβ-immunotherapy
The major finding of this study is that the maturation stage of Aβ aggregates has impact on protective effects of Aβ immunotherapy related to Aβ toxicity. If this effect of the maturation stage on Aβ-immunotherapy seen in the APP23 mouse would also apply for human AD this would mean that immunotherapy should be started in early preclinical stages of the disease exhibiting very few plaques and B-Aβ stage 1. The non-favorable outcomes of recently completed trials on passive immunization against Aβ with bapineuzumab or solanezumab [13, 14] could be explained as a logical consequence of the selection of patients with early symptomatic AD, i.e. patients that very likely already had B-Aβ stage 3  indicative for advanced stage Aβ pathology when they started the trial. Accordingly, it still seems reasonable that Aβ-targeting immunotherapy trials which include non-diseased individuals in a preclinical phase of AD instead of symptomatic AD patients with late stage pathology, may show a protective effect as shown here in APP23 mice. However, in our mouse model we only studied the effects of Aβ but not that of τ-pathology, which prevails in human AD brain as well [59, 60] and appears capable of spreading into further brain regions even without being triggered by Aβ .
Our results confirm previous studies that the protective potential of passive Aβ immunization is much greater than its disease modifying potential and demonstrate for the first time that the maturation stage of the biochemical Aβ aggregate composition, i.e. the B-Aβ stage, has impact on Aβ-antibody treatment. As such, our results point to an important role of the B-Aβ stage for design of treatment strategies targeting Aβ.
The authors thank Mrs. I. Kosterin (Institute of Pathology—Laboratory for neuropathology, University of Ulm, Ulm, Germany) and Mr. E. Schmid (Department of Electron Microscopy, University of Ulm, Ulm, Germany) for their technical help and assistance. The authors thank Prof. Böckers for granting access to the Laser scan microscope.
- Glenner GG, Wong CW (1984) Alzheimer’s disease: initial report of the purification and characterization of a novel cerebrovascular amyloid protein. Biochem Biophys Res Commun 120(3):885–90PubMedView ArticleGoogle Scholar
- Masters CL, Simms G, Weinman NA, Multhaup G, McDonald BL, Beyreuther K (1985) Amyloid plaque core protein in Alzheimer disease and Down syndrome. Proc Natl Acad Sci U S A 82(12):4245–9PubMed CentralPubMedView ArticleGoogle Scholar
- Bard F, Cannon C, Barbour R, Burke RL, Games D, Grajeda H, Guido T, Hu K, Huang J, Johnson-Wood K, Khan K, Kholodenko D, Lee M, Lieberburg I, Motter R, Nguyen M, Soriano F, Vasquez N, Weiss K, Welch B, Seubert P, Schenk D, Yednock T (2000) Peripherally administered antibodies against amyloid beta-peptide enter the central nervous system and reduce pathology in a mouse model of Alzheimer disease. Nat Med 6(8):916–9PubMedView ArticleGoogle Scholar
- Schenk D, Barbour R, Dunn W, Gordon G, Grajeda H, Guido T, Hu K, Huang J, Johnson-Wood K, Khan K, Kholodenko D, Lee M, Liao Z, Lieberburg I, Motter R, Mutter L, Soriano F, Shopp G, Vasquez N, Vandevert C, Walker S, Wogulis M, Yednock T, Games D, Seubert P (1999) Immunization with amyloid-beta attenuates Alzheimer-disease-like pathology in the PDAPP mouse. Nature 400(6740):173–7PubMedView ArticleGoogle Scholar
- Levites Y, Das P, Price RW, Rochette MJ, Kostura LA, McGowan EM, Murphy MP, Golde TE (2006) Anti-Abeta42- and anti-Abeta40-specific mAbs attenuate amyloid deposition in an Alzheimer disease mouse model. J Clin Invest 116(1):193–201PubMed CentralPubMedView ArticleGoogle Scholar
- Hartman RE, Izumi Y, Bales KR, Paul SM, Wozniak DF, Holtzman DM (2005) Treatment with an amyloid-beta antibody ameliorates plaque load, learning deficits, and hippocampal long-term potentiation in a mouse model of Alzheimer’s disease. J Neurosci 25(26):6213–20PubMedView ArticleGoogle Scholar
- Kotilinek LA, Bacskai B, Westerman M, Kawarabayashi T, Younkin L, Hyman BT, Younkin S, Ashe KH (2002) Reversible memory loss in a mouse transgenic model of Alzheimer’s disease. J Neurosci 22(15):6331–5PubMedGoogle Scholar
- Schenk D, Basi GS, Pangalos MN (2012) Treatment strategies targeting amyloid beta-protein. Cold Spring Harb Perspect Med 2(9):a006387PubMed CentralPubMedView ArticleGoogle Scholar
- Sigurdsson EM, Knudsen E, Asuni A, Fitzer-Attas C, Sage D, Quartermain D, Goni F, Frangione B, Wisniewski T (2004) An attenuated immune response is sufficient to enhance cognition in an Alzheimer’s disease mouse model immunized with amyloid-beta derivatives. J Neurosci 24(28):6277–82PubMedView ArticleGoogle Scholar
- Chen G, Chen KS, Kobayashi D, Barbour R, Motter R, Games D, Martin SJ, Morris RG (2007) Active beta-amyloid immunization restores spatial learning in PDAPP mice displaying very low levels of beta-amyloid. J Neurosci 27(10):2654–62PubMedView ArticleGoogle Scholar
- Holmes C, Boche D, Wilkinson D, Yadegarfar G, Hopkins V, Bayer A, Jones RW, Bullock R, Love S, Neal JW, Zotova E, Nicoll JA (2008) Long-term effects of Abeta42 immunisation in Alzheimer’s disease: follow-up of a randomised, placebo-controlled phase I trial. Lancet 372(9634):216–23PubMedView ArticleGoogle Scholar
- Nicoll JA, Wilkinson D, Holmes C, Steart P, Markham H, Weller RO (2003) Neuropathology of human Alzheimer disease after immunization with amyloid-beta peptide: a case report. Nat Med 9(4):448–52PubMedView ArticleGoogle Scholar
- Doody RS, Thomas RG, Farlow M, Iwatsubo T, Vellas B, Joffe S, Kieburtz K, Raman R, Sun X, Aisen PS, Siemers E, Liu-Seifert H, Mohs R, Alzheimer’s Disease Cooperative Study Steering C, Solanezumab Study G (2014) Phase 3 trials of solanezumab for mild-to-moderate Alzheimer’s disease. N Engl J Med 370(4):311–21PubMedView ArticleGoogle Scholar
- Salloway S, Sperling R, Fox NC, Blennow K, Klunk W, Raskind M, Sabbagh M, Honig LS, Porsteinsson AP, Ferris S, Reichert M, Ketter N, Nejadnik B, Guenzler V, Miloslavsky M, Wang D, Lu Y, Lull J, Tudor IC, Liu E, Grundman M, Yuen E, Black R, Brashear HR, Bapineuzumab, Clinical Trial I (2014) Two phase 3 trials of bapineuzumab in mild-to-moderate Alzheimer’s disease. N Engl J Med 370(4):322–33PubMed CentralPubMedView ArticleGoogle Scholar
- Lannfelt L, Relkin NR, Siemers ER (2014) Amyloid-ß-directed immunotherapy for Alzheimer’s disease. J Intern Med 275(3):284–95PubMed CentralPubMedView ArticleGoogle Scholar
- Wisniewski T, Goni F (2014) Immunotherapy for Alzheimer’s disease. Biochem Pharmacol 88(4):499–507PubMed CentralPubMedView ArticleGoogle Scholar
- Rijal Upadhaya A, Kosterin I, Kumar S, Von Arnim C, Yamaguchi H, Fändrich M, Walter J, Thal DR (2014) Biochemical stages of amyloid β-peptide aggregation and accumulation in the human brain and their association with symptomatic and pathologically-preclinical Alzheimer’s disease. Brain 137:887–903PubMedView ArticleGoogle Scholar
- Kumar S, Rezaei-Ghaleh N, Terwel D, Thal DR, Richard M, Hoch M, Mc Donald JM, Wullner U, Glebov K, Heneka MT, Walsh DM, Zweckstetter M, Walter J (2011) Extracellular phosphorylation of the amyloid beta-peptide promotes formation of toxic aggregates during the pathogenesis of Alzheimer’s disease. EMBO J 30(11):2255–65PubMed CentralPubMedView ArticleGoogle Scholar
- Saido TC, Iwatsubo T, Mann DM, Shimada H, Ihara Y, Kawashima S (1995) Dominant and differential deposition of distinct beta-amyloid peptide species, A beta N3(pE), in senile plaques. Neuron 14(2):457–66PubMedView ArticleGoogle Scholar
- Saido TC, Yamao-Harigaya W, Iwatsubo T, Kawashima S (1996) Amino- and carboxyl-terminal heterogeneity of beta-amyloid peptides deposited in human brain. Neurosci Lett 215(3):173–6PubMedView ArticleGoogle Scholar
- Sturchler-Pierrat C, Abramowski D, Duke M, Wiederhold KH, Mistl C, Rothacher S, Ledermann B, Burki K, Frey P, Paganetti PA, Waridel C, Calhoun ME, Jucker M, Probst A, Staufenbiel M, Sommer B (1997) Two amyloid precursor protein transgenic mouse models with Alzheimer disease-like pathology. Proc Natl Acad Sci U S A 94(24):13287–92PubMed CentralPubMedView ArticleGoogle Scholar
- Calhoun ME, Wiederhold KH, Abramowski D, Phinney AL, Probst A, Sturchler-Pierrat C, Staufenbiel M, Sommer B, Jucker M (1998) Neuron loss in APP transgenic mice. Nature 395(6704):755–6PubMedView ArticleGoogle Scholar
- Rijal Upadhaya A, Capetillo-Zarate E, Kosterin I, Abramowski D, Kumar S, Yamaguchi H, Walter J, Fändrich M, Staufenbiel M, Thal DR (2012) Dispersible amyloid β-protein oligomers, protofibrils, and fibrils represent diffusible but not soluble aggregates: Their role in neurodegeneration in amyloid precursor protein (APP) transgenic mice. Neurobiol Aging 33:2641–60PubMedView ArticleGoogle Scholar
- Capetillo-Zarate E, Staufenbiel M, Abramowski D, Haass C, Escher A, Stadelmann C, Yamaguchi H, Wiestler OD, Thal DR (2006) Selective vulnerability of different types of commissural neurons for amyloid beta-protein induced neurodegeneration in APP23 mice correlates with dendritic tree morphology. Brain 129:2992–3005PubMedView ArticleGoogle Scholar
- Hampel H, Teipel SJ, Alexander GE, Horwitz B, Teichberg D, Schapiro MB, Rapoport SI (1998) Corpus callosum atrophy is a possible indicator of region- and cell type-specific neuronal degeneration in Alzheimer disease: a magnetic resonance imaging analysis. Arch Neurol 55(2):193–8PubMedView ArticleGoogle Scholar
- Weis S, Jellinger K, Wenger E (1991) Morphometry of the corpus callosum in normal aging and Alzheimer’s disease. J Neural Transm Suppl 33:35–8PubMedGoogle Scholar
- Yamauchi H, Fukuyama H, Harada K, Nabatame H, Ogawa M, Ouchi Y, Kimura J, Konishi J (1993) Callosal atrophy parallels decreased cortical oxygen metabolism and neuropsychological impairment in Alzheimer’s disease. Arch Neurol 50(10):1070–4PubMedView ArticleGoogle Scholar
- Paganetti P, Reichwald J, Bleckmann D, Abramowski D, Ammaturo D, Barske C, Danner S, Molinari M, Muller M, Papin S, Rabe S, Schmid P, Staufenbiel M (2013) Transgenic expression of beta1 antibody in brain neurons impairs age-dependent amyloid deposition in APP23 mice. Neurobiol Aging 34:2866–78PubMedView ArticleGoogle Scholar
- Staufenbiel M, Paganetti PA (1999) Electrophoretic separation and immunoblotting of Abeta1-40 and Abeta1-42. In: Totowa NJ (ed) Methods in molecular medicine: Alzheimer’s disease: methods and protocols, vol 32. Humana Press, Totowa, NJ, pp 91–9Google Scholar
- Galuske RA, Schlote W, Bratzke H, Singer W (2000) Interhemispheric asymmetries of the modular structure in human temporal cortex. Science 289(5486):1946–9PubMedView ArticleGoogle Scholar
- Yamaguchi H, Sugihara S, Ogawa A, Saido TC, Ihara Y (1998) Diffuse plaques associated with astroglial amyloid beta protein, possibly showing a disappearing stage of senile plaques. Acta Neuropathol 95(3):217–22PubMedView ArticleGoogle Scholar
- Kim KS, Miller DL, Sapienza VJ, Chen C-MJ, Bai C, Grundke-Iqbal I, Currie JR, Wisniewski HM (1988) Production and characterization of monoclonal antibodies reactive to synthetic cerebrovascular amyloid peptide. Neurosci Res Commun 2(3):121–30Google Scholar
- Thal DR, Larionov S, Abramowski D, Wiederhold KH, Van Dooren T, Yamaguchi H, Haass C, Van Leuven F, Staufenbiel M, Capetillo-Zarate E (2007) Occurrence and co-localization of amyloid beta-protein and apolipoprotein E in perivascular drainage channels of wild-type and APP-transgenic mice. Neurobiol Aging 28:1221–30PubMedView ArticleGoogle Scholar
- Habicht G, Haupt C, Friedrich RP, Hortschansky P, Sachse C, Meinhardt J, Wieligmann K, Gellermann GP, Brodhun M, Gotz J, Halbhuber KJ, Rocken C, Horn U, Fandrich M (2007) Directed selection of a conformational antibody domain that prevents mature amyloid fibril formation by stabilizing Abeta protofibrils. Proc Natl Acad Sci U S A 104(49):19232–7PubMed CentralPubMedView ArticleGoogle Scholar
- Thal DR, Ghebremedhin E, Haass C, Schultz C (2002) UV light-induced autofluorescence of full-length Abeta-protein deposits in the human brain. Clin Neuropathol 21(1):35–40PubMedGoogle Scholar
- Mc Donald JM, Savva GM, Brayne C, Welzel AT, Forster G, Shankar GM, Selkoe DJ, Ince PG, Walsh DM (2010) The presence of sodium dodecyl sulphate-stable Abeta dimers is strongly associated with Alzheimer-type dementia. Brain 133(Pt 5):1328–41PubMed CentralPubMedView ArticleGoogle Scholar
- Rijal Upadhaya A, Lungrin I, Yamaguchi H, Fändrich M, Thal DR (2012) High-molecular weight Aβ-oligomers and protofibrils are the predominant Aβ-species in the native soluble protein fraction of the AD brain. J Cell Mol Med 16:287–95View ArticleGoogle Scholar
- Watt AD, Perez KA, Rembach A, Sherrat NA, Hung LW, Johanssen T, McLean CA, Kok WM, Hutton CA, Fodero-Tavoletti M, Masters CL, Villemagne VL, Barnham KJ (2013) Oligomers, fact or artefact? SDS-PAGE induces dimerization of beta-amyloid in human brain samples. Acta Neuropathol 125(4):549–64PubMedView ArticleGoogle Scholar
- Senthivinayagam S, McIntosh AL, Moon KC, Atshaves BP (2013) Plin2 inhibits cellular glucose uptake through interactions with SNAP23, a SNARE complex protein. PLoS One 8(9):e73696PubMed CentralPubMedView ArticleGoogle Scholar
- Schmitz C, Hof PR (2000) Recommendations for straightforward and rigorous methods of counting neurons based on a computer simulation approach. J Chem Neuroanat 20(1):93–114PubMedView ArticleGoogle Scholar
- Rijal Upadhaya A, Scheibe F, Kosterin I, Abramowski D, Gerth J, Kumar S, Liebau S, Yamaguchi H, Walter J, Staufenbiel M, Thal DR (2013) The type of Abeta-related neuronal degeneration differs between amyloid precursor protein (APP23) and amyloid beta-peptide (APP48) transgenic mice. Acta Neuropathol Commun 1(1):77PubMed CentralPubMedView ArticleGoogle Scholar
- DeFelipe J, Marco P, Busturia I, Merchan-Perez A (1999) Estimation of the number of synapses in the cerebral cortex: methodological considerations. Cereb Cortex 9(7):722–32PubMedView ArticleGoogle Scholar
- Miranda R, Sebrie C, Degrouard J, Gillet B, Jaillard D, Laroche S, Vaillend C (2009) Reorganization of inhibitory synapses and increased PSD length of perforated excitatory synapses in hippocampal area CA1 of dystrophin-deficient mdx mice. Cereb Cortex 19(4):876–88PubMedView ArticleGoogle Scholar
- Colonnier M (1968) Synaptic patterns on different cell types in the different laminae of the cat visual cortex. An electron microscope study. Brain Res 9(2):268–87PubMedView ArticleGoogle Scholar
- Garcia-Alloza M, Subramanian M, Thyssen D, Borrelli LA, Fauq A, Das P, Golde TE, Hyman BT, Bacskai BJ (2009) Existing plaques and neuritic abnormalities in APP:PS1 mice are not affected by administration of the gamma-secretase inhibitor LY-411575. Mol Neurodegener 4:19PubMed CentralPubMedView ArticleGoogle Scholar
- Oddo S, Billings L, Kesslak JP, Cribbs DH, LaFerla FM (2004) Abeta immunotherapy leads to clearance of early, but not late, hyperphosphorylated tau aggregates via the proteasome. Neuron 43(3):321–32PubMedView ArticleGoogle Scholar
- Schmitz C, Rutten BP, Pielen A, Schafer S, Wirths O, Tremp G, Czech C, Blanchard V, Multhaup G, Rezaie P, Korr H, Steinbusch HW, Pradier L, Bayer TA (2004) Hippocampal neuron loss exceeds amyloid plaque load in a transgenic mouse model of Alzheimer’s disease. Am J Pathol 164(4):1495–502PubMed CentralPubMedView ArticleGoogle Scholar
- Levites Y, Smithson LA, Price RW, Dakin RS, Yuan B, Sierks MR, Kim J, McGowan E, Reed DK, Rosenberry TL, Das P, Golde TE (2006) Insights into the mechanisms of action of anti-Abeta antibodies in Alzheimer’s disease mouse models. FASEB J 20(14):2576–8PubMedView ArticleGoogle Scholar
- Winkler DT, Abramowski D, Danner S, Zurini M, Paganetti P, Tolnay M, Staufenbiel M (2010) Rapid cerebral amyloid binding by Abeta antibodies infused into beta-amyloid precursor protein transgenic mice. Biol Psychiatry 68(10):971–4PubMedView ArticleGoogle Scholar
- Schlenzig D, Manhart S, Cinar Y, Kleinschmidt M, Hause G, Willbold D, Funke SA, Schilling S, Demuth HU (2009) Pyroglutamate Formation Influences Solubility and Amyloidogenicity of Amyloid Peptides. Biochemistry 48:7072–8PubMedView ArticleGoogle Scholar
- Rakic P (1985) Limits of neurogenesis in primates. Science 227(4690):1054–6PubMedView ArticleGoogle Scholar
- Akiyama H, Schwab C, Kondo H, Mori H, Kametani F, Ikeda K, McGeer PL (1996) Granules in glial cells of patients with Alzheimer’s disease are immunopositive for C-terminal sequences of beta-amyloid protein. Neurosci Lett 206(2–3):169–72PubMedView ArticleGoogle Scholar
- Dickson DW, Farlo J, Davies P, Crystal H, Fuld P, Yen SH (1988) Alzheimer’s disease. A double-labeling immunohistochemical study of senile plaques. Am J Pathol 132(1):86–101PubMed CentralPubMedGoogle Scholar
- Griffin WS, Sheng JG, Roberts GW, Mrak RE (1995) Interleukin-1 expression in different plaque types in Alzheimer’s disease: significance in plaque evolution. J Neuropathol Exp Neurol 54(2):276–81PubMedView ArticleGoogle Scholar
- Griffin WS, Stanley LC, Ling C, White L, MacLeod V, Perrot LJ, White CL 3rd, Araoz C (1989) Brain interleukin 1 and S-100 immunoreactivity are elevated in Down syndrome and Alzheimer disease. Proc Natl Acad Sci U S A 86(19):7611–5PubMed CentralPubMedView ArticleGoogle Scholar
- Sheng JG, Mrak RE, Griffin WS (1997) Glial-neuronal interactions in Alzheimer disease: progressive association of IL-1alpha + microglia and S100beta + astrocytes with neurofibrillary tangle stages. J Neuropathol Exp Neurol 56(3):285–90PubMedView ArticleGoogle Scholar
- Kellner A, Matschke J, Bernreuther C, Moch H, Ferrer I, Glatzel M (2009) Autoantibodies against beta-amyloid are common in Alzheimer’s disease and help control plaque burden. Ann Neurol 65(1):24–31PubMedView ArticleGoogle Scholar
- Alafuzoff I, Adolfsson R, Grundke-Iqbal I, Winblad B (1987) Blood-brain barrier in Alzheimer dementia and in non-demented elderly. An immunocytochemical study. Acta Neuropathol 73(2):160–6PubMedView ArticleGoogle Scholar
- Braak H, Alafuzoff I, Arzberger T, Kretzschmar H, Del Tredici K (2006) Staging of Alzheimer disease-associated neurofibrillary pathology using paraffin sections and immunocytochemistry. Acta Neuropathol 112(4):389–404PubMed CentralPubMedView ArticleGoogle Scholar
- Grundke-Iqbal I, Iqbal K, Quinlan M, Tung YC, Zaidi MS, Wisniewski HM (1986) Microtubule-associated protein tau. A component of Alzheimer paired helical filaments. J Biol Chem 261(13):6084–9PubMedGoogle Scholar
- Clavaguera F, Bolmont T, Crowther RA, Abramowski D, Frank S, Probst A, Fraser G, Stalder AK, Beibel M, Staufenbiel M, Jucker M, Goedert M, Tolnay M (2009) Transmission and spreading of tauopathy in transgenic mouse brain. Nat Cell Biol 11(7):909–13PubMed CentralPubMedView ArticleGoogle Scholar
- Kayed R, Head E, Thompson JL, McIntire TM, Milton SC, Cotman CW, Glabe CG (2003) Common structure of soluble amyloid oligomers implies common mechanism of pathogenesis. Science 300(5618):486–9PubMedView ArticleGoogle Scholar
- Kumar S, Wirths O, Theil S, Gerth J, Bayer TA, Walter J (2013) Early intraneuronal accumulation and increased aggregation of phosphorylated Abeta in a mouse model of Alzheimer’s disease. Acta Neuropathol 125:699–709.PubMedView ArticleGoogle Scholar
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.