Skip to main content

Long term worsening of amyloid pathology, cerebral function, and cognition after a single inoculation of beta-amyloid seeds with Osaka mutation


Alzheimer’s disease (AD) is characterized by intracerebral deposition of abnormal proteinaceous assemblies made of amyloid-β (Aß) peptides or tau proteins. These peptides and proteins induce synaptic dysfunctions that are strongly correlated with cognitive decline. Intracerebral infusion of well-defined Aβ seeds from non-mutated Aβ1-40 or Aβ1-42 peptides can increase Aβ depositions several months after the infusion. Familial forms of AD are associated with mutations in the amyloid precursor protein (APP) that induce the production of Aβ peptides with different structures. The Aβ Osaka (Aβosa mutation (E693Δ)) is located within the Aβ sequence and thus the Aβosa peptides have different structures and properties as compared to non-mutated Aβ1-42 peptides (Aβwt). Here, we wondered if a single exposure to this mutated Aβ can worsen AD pathology as well as downstream events including cognition, cerebral connectivity and synaptic health several months after the inoculation. To answer this question we inoculated Aβ1-42-bearing Osaka mutation (Aβosa) in the dentate gyrus of APPswe/PS1dE9 mice at the age of two months. Their cognition and cerebral connectivity were analyzed at 4 months post-inoculation by behavioral evaluation and functional MRI. Aβ pathology as well as synaptic density were evaluated by histology. The impact of Aβosa peptides on synaptic health was also measured on primary cortical neurons. Remarkably, the intracerebral administration of Aβosa induced cognitive and synaptic impairments as well as a reduction of functional connectivity between different brain regions, 4 months post-inoculation. It increased Aβ plaque depositions and increased Aβ oligomers. This is the first study showing that a single, sporadic event as Aβosa inoculation can worsen the fate of the pathology and clinical outcome several months after the event. It suggests that a single inoculation of Aβ regulates a large cascade of events for a long time.

Graphical Abstract


Alzheimer’s disease (AD) is a neurological disorder leading to cognitive deficits. It is characterized by intracerebral accumulation of abnormal proteinaceous assemblies made of amyloid-β (Aß) peptides or tau proteins. These peptides and proteins induce synaptic dysfunctions that are strongly correlated with the cognitive decline [20]. Aβ peptides arise from the proteolytic cleavage of the Aβ precursor protein (APP), leading to monomeric Aβ peptides that can progressively aggregate to form fibrillary deposits (Aβ plaques).

Several studies in humans [6, 14, 17] and in experimental animal models of AD [12, 19, 30, 31] indicate that intracerebral inoculation of minimal amounts of misfolded Aβ present within AD brain extracts induces build-up of Aβ deposits in their host. The intracerebral infusion of well-defined non-mutated Aβ1-40 or Aβ1-42 peptides can also increase Aβ plaque depositions several months after the infusion [43, 49].

In addition to Aβ pathology, the inoculation of AD-brain extracts can induce long-term cognitive alterations as well as synaptic impairments in rodents [24] or primates [12, 25]. As inoculation of AD-brain extracts can induce both Aβ and tau pathologies [24], it is difficult to dissociate the role of Aβ or tau on cognitive or synaptic impairments induced by this inoculation [24]. Thus, inoculation of synthetic or recombinant Aβ seeds was proposed to evaluate the impact of Aβ on brain function. However, although intracerebral infusion of these Aβ seeds was shown to induce acute memory impairments in wild-type mice [2, 8], to our knowledge, their long term effects have not been reported on cognition or synaptic impairments.

Some familial forms of AD are associated with mutations in the Aβ fragment of the APP. The Osaka mutation (E693Δ, "Osa") is found in a Japanese pedigree of familial AD [46]. It corresponds to amino acid 693 deletion from APP gene, resulting in mutant Aβ peptide (Aβosa) lacking a glutamic amino acid residue at the 22nd position. Thus, as the mutation is located within the Aβ fragment, the Aβosa peptides have a different structure and properties as compared to Aβwt [37]. Aβosa is more resistant than other Aβ species to degradation by major Aβ–degrading enzymes [46]. Synthetic Aβosa have unique aggregation properties of enhanced oligomerization and no fibrillization [46]. This can be explained by the fact that they exhibit preferred conformational states that allow higher hydrophobicity resulting in faster oligomerization [15]. Consistent with the nonfibrillogenic property of the Aβosa, a very low amyloid plaque load was observed in patient with this mutation [46] and transgenic mice with this mutation APP and they do not show any Aβ plaques even at 24 months but display an age-dependent accumulation of Aβ oligomers within neurons [29, 45]. Given the different structure of Aβosa peptides and their properties in vitro and in vivo, we wondered if exposure to Aβosa can worsen AD pathology as well as downstream events including cognition, cerebral connectivity and synaptic health several months after the inoculation. The long-term effect of a single intra-hippocampal inoculation of Aβosa seeds was evaluated four months post inoculation in transgenic mice (APPswe/PS1dE9) overexpressing Aβ1-42 peptide and presenting Aβ plaques [24]. Exposure to Aβosa induced cognitive and functional impairments, including reduced hippocampal connectivity compared to mice inoculated with non-mutated Aβ1-42 peptide (Aβwt). Exposure to Aβosa also led to lower synaptic density and increased Aβ plaque load and Aβ oligomers. Our results suggest that the seeding induced by a single exposure to Aβosa worsen the fate of Aβ pathology and clinical outcome for several months.


Production of recombinant Aβ proteins

To make the plasmids for the fusion protein Aβ(His) of wild-type human β-amyloid 1–42 protein (Aβwt) or Aβosa mutant (E22Δ), the cDNA containing the sequence for human Aβ1-42 was obtained from synthetic oligonucleotides (Sigma, Lyon, France) (containing a Nde1 restriction site as forward primers and a PspXI restriction site as reverse primers) using overlapping PCR. PCR products were then cloned into a pet28a-vector (Novagen, Paris, France) and subsequently constructed as various mutant HIS-Aβ1-42 expressing plasmid (pet28a-Aβ(His)wt or pet28a-Aβ(His)osa (E22Δ). The resulting plasmids were verified by sequencing. Escherichia Coli BL21 (DE3) was transformed with the fusion protein plasmids and a single colony was chosen to grow in a 250 mL starter culture in Luria broth (LB medium) overnight at 37 °C. The next day, 10 mL of culture was diluted in 1L LB culture medium. When the culture reached an OD600nm of 0.8, isopropyl-beta-D-thiogalactopyranoside (IPTG) was added to 1 mM for induction. The culture was grown for an additional 4 h and the cells harvested by centrifugation at 4000 g for 20 min. The pellet was re-suspended in 10 mL ice-cold PBS and lysed by sonication at ice-cold temperature. The cell extract was then centrifuged at 20,000 g for 15 min at 4 °C. The pellet was re-suspended in 10 mL of 8 M urea in PBS and sonicated as previously described before centrifugation at 20,000 g for 15 min at 4 °C. The supernatant (5 mL) was diluted with 15 mL of binding buffer (PBS with 10 mM imidazole at pH 8.0). Before affinity purification using nickel-nitriloacetic acid (NTA) column purification, samples were filtered on 0.45 μm. The Ni–NTA column (3 mL of protino Ni–NTA Agarose from Macherey Nagel) was equilibrated with binding buffer prior to loading the sample on the column. Then the column was washed with the washing buffer (PBS with 30 mM imidazole at pH 8.0) with 5–10 column volumes. The protein was then eluted with the elution buffer (PBS with 500 mM imidazole at pH 7.4). The absorbance at 280 nm was used to monitor the elution but the concentration of the fusion proteins was estimated by comparing the intensity of the band of the protein on SDS-PAGE with that of a known quantity of BSA (Sigma, Lyon, France). A final concentration of 100 μM was obtained and aliquots were stored at −80 °C. Aliquots from all subsequent purification steps were analyzed by SDS-PAGE [23], and the identity of Aβ1-42 and mutants was verified by western blots using 4G8 monoclonal antibodies against Aβ sequence (4G8).

Endotoxin assay

Endotoxin content of Aβ solutions was detected using a kinetic Limulus amebocyte lysate (LAL) chromogenic endotoxin quantitation kit (Thermo Scientific). In brief, 50 μM of Aβ solution was prepared in PBS and was transferred to a sterile 96-well plate prewarmed to 37 °C. LAL (0.1 mL, room temperature) was quickly added to each well. Detection relied on standards supplied in the kit with the range from 0.10 to 1 EU/ml and on positive and negative controls that were performed at the same time as the samples. Endotoxin concentrations were determined by measuring kinetic absorbance at 405 nm at 37 °C following the instructions of the manufacturer, in a Spark plate reader (Tecan).

Thioflavin T (ThT) binding assay

The aggregative properties of different forms of Aβ can be evaluated in vitro with the well-characterized thioflavin dye binding assay [27]. First, the lyophilized synthetic Aβ42 was purchased from Covalb (Villeurbanne, France). It was dissolved at a concentration of 1 mM in DMSO. Aβ monomers stock solutions were generated by dilution of the peptides to a concentration of 100 µM in phosphate buffer, pH 7.4.

Spontaneous fibril formation was evaluated by incubating 8 µM of Aβ monomer solutions at 37 °C for 24 h in presence of 10 μM ThT (Wako Chemical Industries Ltd, Osaka, Japan) in phosphate buffer, pH 7.4. Fibril formation was followed by monitoring ThT fluorescence with shaking using a Hitachi F-2500 fluorometer. The excitation and emission wavelengths were 445 nm and 485 nm, respectively. Fluorescence was determined by averaging the three readings and subtracting the ThT blank.

To perform the seeding experiments, Aβwt and Aβosa solutions were rapidly thawed out and were added to the synthetic Aβ1-42 + ThT solution previously described. All seeding experiments were performed with 10% or 2% of freshly prepared seeds and 90% or 98% of soluble Aβ monomers, resulting in a total of 8 µM. Aβwt was used at 10% and Aβosa at 2 and 10%.

Electron microscopy

Aβ solutions (100 µl sample of 8 µM) and fibrils obtained from 24 h ThT binding assay were concentrated tenfold by centrifugation at 50,000 g for 10 min and suspended in MilliQ water. Assemblies were layered on glow discharged carbon coated 400 mesh copper grid, and stained with 1% uranyl acetate. The assemblies were observed under Jeol 1400 electron microscope at 80 kV and 10 K magnification. Images were recorded on Rios CCD camera (Gatan).

Primary cultures of cortical neurons

Mouse cortical neurons were cultured from 14- to 15-day-old OF1 embryos (Charles River) as described previously [26]. After extraction of the embryonic brains, the cerebral membranes were removed and the cortices were dissected, mechanically dissociated and cultured in Dulbecco’s Modified Eagle’s Medium supplemented with 5% horse serum, 5% fetal bovine serum and 1 mM glutamine (all from Sigma) on 24-well plates (Falcon; Becton Dickinson) for biochemical experiments.

Neurons were seeded on 35 mm glass-bottom dishes (MatTek) at a final concentration of two cortical hemispheres per dish for confocal experiments. All plates, dishes, and coverslips were coated with 0.1 mg/mL poly-D-lysine and 0.02 mg/mL laminin (Sigma). Cultures were maintained at 37 °C in a humidified atmosphere containing 5% CO2/95% air. After 3–4 days in vitro (DIV), cytosine arabinoside (AraC, 10 µM; Sigma) was added to inhibit proliferation of non-neuronal cells in cultures used for biochemistry experiments; 98% of the cells were considered as neuronal. The day before the experiments, cells were washed in DMEM. Treatments were performed on neuronal cultures at 14–15 DIV.

Quantification and morphological characterisation of dendritic spine density

Neurons were visualized using a Nikon Ti C2 confocal microscope with a Nikon 60X water-immersion objective and NIS-Elements software (Nikon, Melville, NY, USA). Excitation of GFP and mCherry fluorophores was performed with an argon laser at 488 nm (emission filtered at 504–541 nm) and at 543 nm (emission filtered at 585–610 nm) respectively. Images (1024 × 1024 pixels) were acquired as Z-stacks (tridimensional section) with 0.3 μM per step. The acquired images were then deconvoluted using AutoQuantX3 software (Media Cybernetics, Abingdon, Oxon, UK). For analysis of spines, serial image files corresponding to z-stacks of 20–30 optical sections per dendritic segment were directly processed with NeuronStudio, a software package specifically designed for spine detection and analysis (, CNIC – Mount Sinai School of Medicine). Voxel size was 0.3 x 0.3 x 0.3 µm. After modeling of the dendrite surface, protrusions with a minimum volume of 5 voxels, length of between 0.2 μm and 4 μm and a maximal width of 3 μm were retained as spines. Following default settings of the program and the empirical classification rule previously described [35], spines with a minimum head diameter of 0.35 μm and minimum head vs neck ratio of 1.1 were classified as mushroom spines. Non-mushroom spines with minimum volume of 10 voxels (0.040 μm3) were classified as stubby spines. All other spines were considered thin.

Transgenic mice

Mouse experiments involved the APPswe/PS1dE9 mouse model of amyloidosis (C57Bl6 background) [11]. Aβ plaques can be detected as early as 4 months of age in these mice and increase in number and total area with age [11]. At the time of the inoculation of Aβwt, Aβosa or PBS, at 2 months of age, these mice did not have Aβ plaques. Animals were studied for four months after intracerebral inoculation (at 4 post-inoculation (mpi) respectively, nAPP/PS1-Aβwt = 10, nAPP/PS1-Aβosa = 10, nAPP/PS1-PBS = 10). Wild-type littermates injected with the PBS were used as controls for the behavioral tests (nWT-PBS = 10). All APPswe/PS1dE9 and littermate WT mice were born and bred in our center (Commissariat à l’Energie Atomique, Fontenay-aux-Roses; European Institutions Agreement #B92-032–02). Females were exclusively used in this study in order to optimize group homogeneity (Aβ plaque load is known to vary between males and females). Mice were injected during different inoculation sessions and each group was randomly inoculated at each session to avoid an "order of treatment" confounding effect. All animals were randomly assigned to the experimental groups using a simple procedure: They were identified using increasing numbers based on their birthdate. Animals with increasing numbers were alternatively assigned to the APP/PS1-wt (animal 1, 4, 7…), APP/PS1-osa (animal 2, 5, 8…) and APP/PS1-PBS groups (animal 3, 6, 9…). All experimental procedures were conducted in accordance with the European Community Council Directive 2010/63/UE and approved by local ethics committees (CEtEA-CEA DSV IdF N°44, France) and the French Ministry of Education and Research, and in compliance with the 3R guidelines. Animal care was supervised by a dedicated in-house veterinarian and animal technicians. Human endpoints concerning untreatable continuous suffering signs and prostrations were taken into account and not reached during the study. Animals were housed under standard environmental conditions (12-h light–dark cycle, temperature: 22 ± 1 °C and humidity: 50%) with ad libitum access to food and water. The design and reporting of animal experiments were based on the ARRIVE reporting guidelines [5]. Sample size was based on previous experiments for Aβ induction in APPswe/PS1dE9 mice after inoculation of human brain extracts (estimated with significance level of 5%, a power of 80%, and a two-sided test) [12] and increased to take into account uncertainties for new markers (memory and synaptic changes). No animals were excluded from the study. MC was aware of initial group allocation, but further analyses (memory evaluations and post-mortem studies) were performed blindly.

Stereotaxic surgery

Five-hundred micrograms/ml (~ 150 nM) of Aβwt, Aβosa solution were rapidly thawed out before stereotaxic injection. Two month-old APPswe/PS1dE9 and wild-type littermates were anesthetized by an intraperitoneal injection of ketamine (1 mg/10 g; Imalgène 1000, Merial) and xylazine (0.1 mg/10 g; 2% Rompun, Bayer Healthcare). Local anesthesia was also performed by a subcutaneous injection of lidocaine at the incision site (1 µL/g; 0.5% Xylovet, Ceva). Mice were placed in the stereotaxic frame (Phymep) and bilateral injections of brain samples were performed in the dentate gyrus (AP -2 mm, DV 1.8 mm, L ± 2 mm from bregma). Two µl/site of sample were administered using 34-gauge needles and Hamilton syringes, at a rate of 0.2 µl/min. After the injection, needles were kept in place for 5 more minutes before removal and the incision was sutured. The surgical area was cleaned before and after the procedure using povidone iodine (Vétédine, Vétoquinol). Respiration rate was monitored and body temperature was maintained at 37 ± 0.5 °C with a heating pad during the surgery. Anesthesia was reversed with a subcutaneous injection of atipamezole (0.25 mg/kg; Antisedan, Vetoquinol). Mice were placed in a ventilated heating box (25 °C) and monitored until full recovery from anesthesia. Postoperative anticipatory pain management consisted of paracetamol administration in drinking water (1.45 mL/20 mL of water; Doliprane, Sanofi) during 48 h.

Behavioral evaluations

A novel object recognition task in a V-maze was used to investigate cognition at 4 mpi on Aβwt-, Aβosa-, and PBS-inoculated APPswe/PS1dE9 mice. Wild-type littermates injected with PBS were used as controls for the tests. Mice were handled for 2 min per day, for 5 days prior to any test to prevent stress effects during tasks. Prior to each test, mice were habituated to the experimental room for 30 min. The experimenter was blind to mouse groups. Performances were recorded using a tracking software (EthoVision XT14, Noldus).

The V-maze arena consisted of two 6 cm-wide, 33.5 cm-long and 15 cm-high black arms forming a V shape and exposed to 50 lx-lighting. The test was divided into three phases, each one separated by 24 h. At the beginning of each session, mice were placed at the center of the arena, i.e. at the intersection of the arms. During the habituation phase (day 1), mice were free to explore the empty arena for 9 min. The distance traveled was automatically recorded as an indicator of their exploratory activity. For the training phase (day 2), two identical objects (bicolor plastic balls) were placed at the end of each arm. Exploratory activity was evaluated as the time spent exploring the objects (manually recorded) and the distance traveled during the 9-min trial. On the test day (day 3), one familiar object (a bicolor plastic ball) was replaced by a novel one of a different shape and material (a transparent glass flask). Recognition was assessed using a discrimination index, calculated as follows:

$${\text{Discrimination}}\;{\text{index}} = \frac{{{\text{Time}}\;{\text{exploring}}\;{\text{the}}\;{\text{novel}}\;{\text{object}} - {\text{Time}}\;{\text{exploring}}\;{\text{the}}\;{\text{familiar}}\;{\text{object}}}}{{{\text{Total}}\;{\text{exploration}}\;{\text{time}}}}$$

It reflects the time spent exploring each object, and therefore, the ability to discriminate a novel object from a familiar, previously explored one. A low discrimination index score reveals that mice spent less time exploring the new object, i.e. still had marked interest in the familiar object, and suggests that memory was impaired. Between each run, the V-maze was cleaned with 10% ethanol, effectively eliminating any scents from previous visits.

Animal preparation and MRI acquisition

To further evaluate brain function, we performed resting-state functional magnetic resonance imaging studies (fMRI) at 4 mpi. Our objective was i. to analyze the strength of the hippocampus functional connectivity (FC) to the whole-brain, ii. to analyze the FC of specific regions of the hippocampus and of the entorhinal cortex to the whole-brain. Animals were scanned four months post-inoculations. Acquisitions were performed on anesthetized mice with a combination of isoflurane 0.5% in a mix 0.5:0.5 of air:O2 and medetomidine 0.3 mg/kg bolus and 0.1 mg/kg/h infusion. Animals were freely-breathing and respiratory rate was monitored to confirm animal stability until the end of the experiment. Body temperature was maintained by a water heating system at 37 °C. The MRI system was an 11.7 Tesla Bruker BioSpec (Bruker, Ettlingen, Germany) using a Cryoprobe surface and running ParaVision 6.0.1. First, anatomical images were acquired using a T2-weighted multi-slice multi-echo (MSME) sequence: TR = 1000 ms, TE = 5 ms, 6 echoes, inter-echo time = 5 ms, FOV = 16 × 16 mm, 100 slices of 0.2 mm thickness, resolution = 200 µm isotropic, acquisition duration 10 min. Then, resting-state functional MRI (rs-fMRI) was acquired using a gradient-echo echo planar imaging (EPI) sequences with repetition time (TR) = 1000 ms, echo time (TE) = 10 ms, flip angle = 90°, volumes = 500, Field of view (FOV) = 22.5 × 15.4 mm, 12 slices of 0.5 mm thickness, acquisition duration 7 min 30 s. Animals were scanned twice with this sequence. For analysis, the two scans were merged.

MRI pre-processing and analysis

Scanner data were exported as DICOM files then converted into NIfTI-1 format. Then spatial pre-processing was performed using the python module sammba-mri (SmAll MaMmals BrAin MRI;, [3]). First, spatial normalization of the anatomical images was performed to generate a high-resolution template. Rs-fMRI images were corrected for slice timing (interleaved), motion, and B0 distortion (per-slice registration to respective anatomicals). Then, rs-fMRI images were co-registered to the high-resolution template of the DSURQE anatomical atlas (Dorr-Steadman-Ulman-Richards-Qiu-Egan (DSURQE) atlas, 182 structures, freely available at: [4, 34, 42, 48]. Functional images were further pretreated using Nilearn [1]. Nuisance signal regression was applied including a linear trend as well as 24-motion confounds (6 motion parameters, those of the preceding volume, plus each of their squares [10]). Images were then spatially smoothed with a 0.4 mm full-width at half-maximum Gaussian filter. The first 10 volumes were excluded from analysis after the preprocessing to ensure steady-state magnetization.

MRI analysis and statistics

We analyzed the strength of the hippocampus functional connectivity (FC) to the whole-brain. First, we quantified the whole-brain pattern of functional connectivity for each subject by computing Pearson’s correlation coefficients between mean time series of 70 bilateral regions defined from a brain atlas. The average correlation coefficient between the hippocampus and all other brain areas was then evaluated. Second, we evaluated FC of three selected brain regions (right hemisphere) to the whole-brain: the MoDG (inoculation site), the CA1 area (which contains the pyramidal cell layer (CAPy)) and the entorhinal cortex. We used a “seed-based analysis” (SBA) to identify regions functionally associated with each selected brain region. This method assesses the connection between cluster of voxels (called seeds) positioned in the brain. Here the seeds (in MoDG, CAPy or entorhinal cortex) were defined based on the DSURQE Dorr atlas using 0.3 mm3 spheres, corresponding to 25 voxels. The mean BOLD signal time-series within a seed were extracted and regressed into individual scans to obtain correlation z-statistic maps using Nilearn. Voxelwise statistics were carried out in FSL using nonparametric permutation tests (randomize) for comparison between PBS- inoculated APPswe/PS1dE9 and either Aβwt- or Aβosa-inoculated APPswe/PS1dE9 (5000 permutations and voxelwise correction). 3D representation of voxelwise statistical maps are shown as color-coded t-statistics overlays on the DSURQE template at 0.04 × 0.04 × 0.04 mm3 using MRIcroGL (

Animal euthanasia and brain preparation

Mice were sacrificed at 4 mpi, after MRI acquisition, with an intraperitoneal injection of a lethal dose of pentobarbital (100 mg/kg; Exagon, Axience). They were perfused intracardially with cold sterile 0.1 M PBS for 4 min, at a rate of 8 ml/min. The brain was extracted and separated in two hemispheres. The left hemisphere was dissected in order to take out the hippocampus and the cortex. Samples were directly deep-frozen into liquid nitrogen and stored at − 80 °C for biochemical analysis. For histology, the right hemisphere was post-fixed in 4% paraformaldehyde for 48 h at + 4 °C, transferred into a 15% sucrose solution for 24 h and in a 30% sucrose solution for 48 h at + 4 °C for cryoprotection. Serial coronal sections of 40 µm were performed with a microtome (SM2400, Leica Microsystem) and stored at −2 °C in a storing solution (glycerol 30%, ethylene glycol 30%, distilled water 30%, phosphate buffer 10%).

Mouse brain sample preparation for biochemical analyses

For amyloid protein extraction, deep-frozen brain tissue was dissociated with Collagenase D (2 mg/mL) in Tris-buffer saline (20 mM Tris–HCl, 150 mM NaCl, pH 7.4) at 1:10 TBS volume:brain wet weight and incubated at 37 °C. Brains were further homogenized using a Dounce homogenizer with 20 strokes in ice-cold quench buffer containing protease inhibitors (Complete, PMSF 1 mM) and phosphatase inhibitors (Na3VO4 1 mM, NaF 10 mM). Sarkosyl (2%) were added to homogenates. Samples were centrifuged for 30 min at 10,000 × g at 4 °C. The resulting supernatant was further centrifuged for 1 h at 100,000 g in a 4 °C TLA100.2 rotor on Beckman TL 100. The resulting supernatant called S100K contained the sarkosyl-soluble fraction. Pellet (P100K) was washed twice in TBS and finally resuspended in TBS at 1:10 TBS volume:brain wet weight. All samples were stored at −80 °C until analysis.

Western blotting and dot blotting

For western blot, samples were diluted in LDS (Lithium Dodecyl Sulfate) sample buffer (NuPage) and sampling reducing agent in order to load 20 µg of proteins. After heating, samples were loaded on a 4–12% Criterion™ XT Bis–Tris gel (Bio-Rad), migrated in XT MES Running Buffer (Bio-Rad) for 1 h at 110 V and transferred onto 0.2 µm nitrocellulose. For dot blot, 2µL of samples were directly loaded onto 0.2 µm nitrocellulose. After 1 h of blocking at room temperature, membranes were blotted overnight at 4 °C with primary antibodies 6E10 (Against human Aβ1-16; Biolegend), APP-Cter-17 (against the last 17 amino acids of the human APP sequence [39, 51], A11 (against oligomeric species, ThermoFisher) and OC (anti-amyloid fibrils, Rockland). After rinse in TBS-T, membranes were incubated with secondary antibodies for 1 h at room temperature. Proteins were revealed using horseradish peroxidase (HRP) and ECL™ Western Blotting Detection Reagent (G&E Healthcare). Quantifications of protein expression levels were performed on ImageJ Software.


Aβ deposits were evaluated using a 4G8 labeling. Free-floating brain sections were rinsed in a 0.1 M PBS solution (10% Sigma-Aldrich® phosphate buffer, 0.9% Sigma-Aldrich® NaCl, distilled water) before use. Washing and incubation steps were performed on a shaker at room temperature unless indicated otherwise.

4G8 labeling was performed after pretreating brain sections with 70% formic acid (VWR®) for 20 min at room temperature. All tissues were then incubated in 30% hydrogen peroxide (Sigma-Aldrich®) diluted 1/100 for 20 min to inhibit endogenous peroxidases. Blocking of non-specific antigenic sites was achieved over 1 h using a 0.2% Triton X-100/0.1 M PBS (Sigma-Aldrich®) (PBST) solution containing 4.5% normal goat serum or 5% bovine serum albumin. Sections were then incubated at + 4 °C with the 4G8 (Biolegend 800,706, 1/500) antibody diluted in a 3%NGS/PBST solution for 48 h. After rinsing, an incubation with the appropriate biotinylated secondary antibody diluted to 1/1000 in PBST was performed for 1 h at room temperature, followed by a 1 h incubation at room temperature with a 1:250 dilution of an avidin–biotin complex solution (ABC Vectastain kit, Vector Laboratories®). Revelation was performed using the DAB Peroxidase Substrate Kit (DAB SK4100 kit, Vector Laboratories®). Sections were mounted on Superfrost Plus slides (Thermo-Scientific®). All sections were then dehydrated in successive baths of ethanol at 50°, 70°, 96° and 100° and in xylene. Slides were mounted with the Eukitt® mounting medium (Chem-Lab®).

Stained sections were scanned using an Axio Scan.Z1 (Zeiss®—Z-stack images acquired at 20 × (z-stacks with 16 planes, 1 µm steps with extended depth of focus)). Each slice was extracted individually in the "czi" format using the Zen 2.0 (Zeiss®) software. Image processing and analysis were performed with the ImageJ 1.53i software. Macros were developed for each staining in order to attain a reproducible semi-automated quantification. Images were imported with a 50% reduction in resolution (0.44 µm/pixel), converted to the RGB format and saved as "tif". The 4G8 immunostaining was highlighted by color deconvolution with the H DAB vectors and by selecting the resulting DAB image. Then, segmentation was performed through an automatic local thresholding using the Phansalkar method (radius = 50). Aβ load was evaluated after quantification of the 4G8-labeled particles between 7 and 5,000 µm2, and normalization to the surface area of each region of interest (ROI).

All quantifications were performed on adjacent slices between 1.98 and −4.36 mm from bregma. Eighteen adjacent slices were analyzed for the 4G8. All ROIs were manually segmented using ImageJ/FIJI, according to the Paxinos and Franklin neuro-anatomical atlas of mouse brain [33].

Evaluation of synaptic density

Synaptic density was evaluated in the hippocampus (CA1) and the perirhinal/entorhinal cortex of all inoculated mice using a double immunolabeling of presynaptic (Bassoon) and postsynaptic (Homer1) markers. Free-floating sections were permeabilized in a 0.5% Triton X-100/0.1 M PBS (Sigma-Aldrich®) solution for 15 min. Slices were incubated with Bassoon (Abcam Ab82958, 1/200) and Homer1 (Synaptic systems 160,003, 1/400) antibodies diluted in 3% BSA/PBST solution for 24 h at RT. Incubation with secondary antibodies coupled to a fluorochrome (Alexa Fluor) diluted in a 3% BSA/0.1 M PBS solution was then performed for 1 h at room temperature. Sections were rinsed and mounted on Superfrost Plus (Thermo-Scientific®) slides with the Vectashield® mounting medium with a refractive index of 1.45. Images of stained sections were acquired using a Leica DMI6000 confocal optical microscope (TCS SPE) with a 40 × oil-immersion objective (refractive index 1.518) and the Leica Las X software. A confocal zoom of 3 and a pinhole aperture fixed at 1 Airy were applied. Acquisition was performed in sequential mode with a sampling rate of 1024 × 1024 and a scanning speed of 700 Hz. Image resolution was 80 nm/pixel and the optical section was 0.896 µm. 26 separate planes with a 0.2 µm step were acquired. The excitation wavelengths were 594 nm or 633 nm. Image acquisition in the dentate gyrus, CA1 and CA2/3 region was performed on 5 adjacent slices located between −1.58  and −3.40 mm from the bregma, with 3 images per slice. For the entorhinal cortex, 3 adjacent slices located between −2.98 and −3.40 mm from the bregma were analyzed, with 2 images acquired per slice. 3D deconvolution of the images was performed using the AutoQuant X3 software. The deconvoluted 8-bit images were analyzed using the ImageJ software, as described in Gilles et al. [13]. Briefly, automated 3D segmentation of the presynaptic (Bassoon) and postsynaptic (Homer1) stained deconvoluted images was performed using "3D spots segmentation" from ImageJ (with "gaussian fit", "block" and "no watershed" options; Co-localization of overlapping objects was evaluated using "DiAna" from imageJ ( The percentage of colocalized objects was quantified as an index of synaptic density.

Statistical analysis

Statistical analysis was performed using the GraphPad Prism software 9. For the behavioral tasks analysis, Kruskal–Wallis tests with Dunn’s multiple comparisons were performed except when repeated measures were acquired, in which case, a two-way repeated measures ANOVA with the Geisser-Greenhouse correction and Dunnett’s multiple comparisons was carried out. For the post-mortem analysis, Kruskal–Wallis tests with Dunn’s multiple comparisons tests were performed in order to compare differences between inoculated mice. The significance level was set at p < 0.05. Data are shown on scattered dot plots with mean ± standard error of the mean (SEM).

Data availability

The data that support the findings of this study are available from the corresponding author, upon request.


Characterization of inoculated Aβ peptides: from structures to synapse-modifying properties

We used a recombinant approach to produce non-mutated Aβosa (E693Δ also called E22Δ) or Aβ1-42 (Aβwt). Electron micrographs showed that both Aβ peptides were able to self-aggregate and formed Aβ assemblies in solutions (Fig. 1a). Aβ aggregation is a nucleation-dependent polymerization process, with a slow initial nucleation phase, called lag-phase, followed by a rapid growth phase [18]. We investigated the seeding properties of different forms of Aβ in vitro using thioflavin fluorescence assay [27, 32]. First, synthetic monomeric Aβ1-42 was incubated at 37 °C, the ThT fluorescence signal displayed a sigmoidal shape characterized by a 6 h lag time followed by an 8 h elongation step (Fig. 1b). When synthetic monomeric Aβ1-42 was seeded with recombinant Aβwt [10%, v/v] at 37 °C, assembly kinetic was not affected while Aβ fibrils were formed (Fig. 1b). On the contrary, addition of Aβosa seeds [2 and 10%, v/v] shortened the lag time to 2 and 4 h respectively (Fig. 1b). Thus, Aβosa displayed increased seeding effects. At steady state, the Aβ fibrils assembled from synthetic Aβ1-42 alone or seeded with Aβwt or Aβosa displayed undistinguishable shape when observed by electron microscopy (Fig. 1c).

Fig. 1
figure 1

Properties of wt and mutated Aβ assemblies. a. Representative electron microscopy images of small and large particles in Aβwt and Aβosa solution. Scale bars: 100 nm. b. Kinetics of synthetic Aβ1-42 aggregation monitored by thioflavin T fluorescence in the absence and presence of Aβwt and Aβosa seeds. Aggregation experiments were performed in triplicates. Aβ1-42 monomer concentration is 8 μM, in a PBS buffer at 37 °C with continuous agitation. The aggregation curves were normalized to maximal values of ThT fluorescence at plateau. Symbols and error bars are the average and standard deviation, respectively, of three independent kinetics experiments. c. Representative electron microscopy images Aβ fibrils following the aggregation experiments. Scale bars: 100 nm

Exogenous application of Aβosa and Aβwt impairs synaptic plasticity and induces spine losses

As Aβ has been shown to induce synaptic dysfunction [22], we compared the direct impact of Aβosa and Aβwt seeds on synaptic health by assessing spine morphology of primary cortical neuron cultures. Cortical neurons were co-transfected with LifeActin-GFP (LA-GFP), a small peptide that specifically binds to F-actin to visualize the dendritic arbor and spines. LA-GFP expressing cortical neurons display characteristic dendrites with a high density of spines (Fig. 2a). Then, we incubated the neurons with 100 nM of either Aβosa or Aβwt for 24 h, and analyzed thin, stubby, mushroom spine density (Fig. 2b-f). Compared to PBS, the total spine density of neurons treated with Aβosa or Aβwt was reduced at 24 h (p < 0.0001 for Aβosa; p < 0.05 for Aβwt, Fig. 2c). The spine loss was significantly more severe in Aβosa compared to Aβwt (p < 0.05, Fig. 2c). The spine loss was mainly due to a strong reduction in mushroom (p < 0.0001 for Aβosa; p < 0.005 for Aβwt, Fig. 2d) and thin spine densities (p < 0.5 for Aβosa, Fig. 2e) while stubby spine density was not significantly affected by Aβ compared to PBS (Fig. 2f).

Fig. 2
figure 2

Exposure to exogenous Aβosa and Aβwt differentially impaired synapses. a-b. Representative images of primary cultures of cortical neurons expressing LA-GFP before (a), and after treatment for 24 h with 100 nM of Aβosa or Aβwt (b). Top row wide field view, scale bar = 10 µm; bottom row: dendrite portions with mushroom spines (white arrows, scale bar = 5 µm). c. Quantification of total spine density showed a reduction of total number of spines after treatment with Aβosa and Aβwt, compared to PBS (34.7 ± 3.1% for Aβosa, p < 0.0001; 14.1 ± 3.4% for Aβwt, p = 0.0049). The spine loss was significantly more severe in Aβosa compared to Aβwt (p = 0.0048). d. Quantification of mushroom spine density showed a reduction of the number of mushroom spines after treatment with Aβwt and Aβosa (respectively p = 0.0005 and p < 0.0001). e. Quantification of thin spine density showed a reduction of the number of mushroom spines after treatment with Aβosa (p < 0.1). f. Stubby spine density was not modified after treatment with the different Aβ seeds. n = 6 neurons from at least 3 different cultures. Data are shown as mean ± s.e.m. Kruskal–Wallis with Dunn’s multiple comparisons. *p < 0.5, ** or ## p < 0.05, ***p < 0.005, ****p < 0.0005

osa inoculation to rodents impairs long-term memory

We then evaluated the long-term impact of Aβ in vivo. Two-month-old APPswe/PS1de9 mice were inoculated bilaterally with 0.5 µg of Aβosa or Aβwt or PBS in the molecular layer of the dentate gyrus (MoDG) of the hippocampus. PBS was also inoculated in wild-type (WT) littermates. Behavioral assessment was performed at 4 months post-inoculation (mpi) using a novel object recognition task in a V-maze test (Fig. 3). First, the mice underwent a habituation to the test in an empty arena (day 1) followed by a training phase where two identical objects were added to the V-maze platform (day 2). Comparable interest in objects (Fig. 3a) and discrimination index (Fig. 3b) were observed during the training phase indicating similar exploratory activity between groups. The probe test (day 3) was performed the day following the training phase. During this task, a novel object replaced one of the objects. The traveled distance decreased throughout the three days of the test, but was comparable between groups (Fig. 3c). During the probe test, all groups of APPswe/PS1de9 mice had comparable interest in objects (Fig. 3d). During the discrimination task, mice inoculated with Aβosa spent less time exploring the novel object compared to control mice (PBS-inoculated WT or APPswe/PS1dE9 mice), suggesting memory impairments (Fig. 3e).

Fig. 3
figure 3

Memory impairment of APPswe/PS1de9 mice following Aβ inoculation. Novel object recognition was evaluated in a V-maze at 4 months post-inoculation. a. The time spent on exploring the two identical objects (in seconds) during the training phase is similar between group (p = 0.94). b. Mice performance during the training phase. Similar discrimination indexes were found for all groups when mice had to discriminate two identical objects (p > 0.05, Kruskal–Wallis with Dunn’s multiple comparisons). c. Distance moved throughout 3 days of tests (exploration, training and probe-test days). Measurements revealed a time-effect from day 1 to day 3 (F(1.49, 53.95) = 123.8, p < 0.0005), but no differences between experimental groups (p > 0.05) (two-way repeated measures ANOVA with the Geisser-Greenhouse correction and Dunnett’s multiple comparisons). d. Novel object recognition evaluated by the time spent on exploring the objects (in seconds) highlighted group effects (p = 0.02). Post-hoc analysis showed that the PBS-inoculated wild-type mice group had a higher exploratory activity than PBS-inoculated APPswe/PS1dE9 (p = 0.02) while all groups of APPswe/PS1de9 mice had comparable exploratory activity (Kruskal–Wallis with Dunn’s multiple comparisons). e. Object discrimination index. APPswe/PS1de9 mice inoculated with Aβosa spent less time exploring the novel object compared to PBS-inoculated WT mice or APPswe/PS1dE9 mice (group analysis using Kruskal–Wallis (p = 0.0006) with post-hoc analysis using Dunn’s multiple comparisons p = 0.0008 and p = 0.0046, for Aβosa versus PBS-inoculated WT and APPswe/PS1dE9 mice, respectively). nWT-PBS = 10, nAPP/PS1-PBS = 10, nAβwt = 10, nAβosa = 10 mice. Data are shown as mean ± s.e.m

osa inoculation leads to long-term functional impairments

To further evaluate brain function, we performed resting-state functional magnetic resonance imaging studies (fMRI) at 4 mpi. First, we analyzed the strength of the hippocampus functional connectivity (FC) to the whole-brain. The correlation coefficient between the hippocampus and other brain areas was lower in Aβosa-inoculated animals compared to PBS and Aβwt-inoculated mice (Fig. 4a). This indicates a decreased hippocampus connectivity in Aβosa-inoculated mice. To further identify specific networks impaired by Aβosa inoculation, we evaluated FC of three selected brain regions (right hemisphere) to the whole-brain: the MoDG (inoculation site), the CA1 area (which contains the pyramidal cell layer (CAPy)) and the entorhinal cortex (Fig. 4b). First we used a “seed-based analysis” (SBA), to identify regions functionally associated with each selected brain region in the PBS-inoculated APPswe/PS1dE9 mice (Fig. 4c). The individual correlation maps were averaged for each group to highlight connected areas in each group of animals (Fig. 4d). Homotopic functional connectivity of MoDG was abolished in the contralateral dorsal dentate gyrus of Aβosa-inoculated mice while unaffected in Aβwt-inoculated animals (Fig. 4d). The MoDG and the CA1 of Aβosa-inoculated mice had also lower FC with the peri-hippocampal area, amygdalar area, temporal area and ventral CA1. The entorhinal cortex of Aβosa-inoculated mice had lower FC with the posterior cingulate, amygdala areas and the hippocampus area compared to PBS-inoculated mice (Fig. 4d). The alterations reported in Aβosa animals concerned both left-to-right (displayed figures) and right to left connectivities (not shown).

Fig. 4
figure 4

osa inoculated animals displayed abnormal brain connectivity within hippocampal-memory circuits. a. Mean hippocampus connectivity changes measured by resting-state functional MRI. Aβosa-inoculated group displayed a decreased hippocampus connectivity compared to PBS and Aβwt-inoculated mice at 4mpi (Kruskal–Wallis with Dunn’s multiple comparisons. group effect p = 0.002; p = 0.006 and p = 0.01 for Aβosa-inoculated group versus PBS or Aβwt-inoculated mice). b. 3D representation of the three brain regions -DG, CA1 and the entorhinal cortex- used for the seed-based analyses (SBA). c. SBA-derived resting state networks found in PBS-inoculated APPswe/PS1dE9 are shown for each seed (the white asterisk represents the location of the seeds where the signal was extracted). d. Correlation maps of each seed. The color scale bar represents the strength of the functional correlation normalized with a fisher z-transformation. Black asterisks represent the location of the seeds. Differences are found between groups in inter-hemispheric homotopic FC. e. Voxelwise nonparametric permutation tests of FC correlation maps. Aβosa-inoculated mice have a lower FC in the hippocampus compared to PBS-inoculated mice (p < 0.001). The color scale bar represents the statistical significant p-value. DG = dentate gyrus, Hipp = hippocampus, TE = temporal area, TEA = temporal associative area, Per/Ect = perirhinal + ectorhinal cortex, Ins = Insular, Amg = amygdalar area, Ent = entorhinal cortex, PCC = posterior cingulate cortex, SSC = primary somatosensory area, Str = striatum. nWT-PBS = 10, nAPP/PS1-PBS = 10, nAβwt = 10, nAβosa = 10 mice

The individual correlation maps between groups were compared by performing voxel-wise statistical analysis. They confirmed differences between Aβosa- and PBS-inoculated APPswe/PS1dE9 mice (Fig. 4e) and did not show differences between Aβwt- and PBS-inoculated mice (not shown). The FC alterations in Aβosa-inoculated animals that involve memory circuits are consistent with cognitive impairments reported in transgenic animals expressing Aβosa variant.

osa inoculation reduces synaptic density

Mice were sacrificed 4 mpi to evaluate cerebral pathology. We measured synaptic density at the inoculation site (dentate gyrus of the hippocampus), in other parts of the hippocampus and at a distant place (entorhinal cortex). Double immunolabeling of presynaptic (Bassoon) and postsynaptic (Homer) markers was performed (Fig. 5a–b) and the amount of synapses was quantified from colocalized puncta. Inoculation of Aβosa led to decreased synaptic density in the dentate gyrus (Fig. 5c–e) and CA1 region (Fig. 5f–h) compared to APPswe/PS1dE9 mice inoculated either with PBS or Aβwt. The decreased synaptic density was mainly related to a decrease in the density of postsynaptic markers as seen with Homer (Fig. 5e, h). Unlike Aβosa, Aβwt did not modulate synaptic densities compared with PBS-inoculated animals (Fig. 5c–h). Synapses in the CA2/3 region and the entorhinal cortex were not affected by Aβosa or Aβwt (Fig. 5i-j). Taken together, these results indicate that a single inoculation of Aβosa has a long-term effect on synapse. Altogether our results suggest that inoculation of Aβosa increases a cascade of events leading to synaptic impairments, neuronal networks disorganization and cognitive impairments.

Fig. 5
figure 5

osa exacerbates long-term synaptotoxicity in vivo. a. Representative views of original Bassoon/Homer images and segmented puncta in APPswe/PS1dE9 mice. Scale bars main images: 20 µm; Insets: 5 µm. b. Co-localisation puncta of Bassoon/Homer labels (white arrow). Scale bars main images: 5 µm; Insets: 1 µm. c-h. Quantification of synaptic density from Bassoon/Homer colocalization (c, f), Bassoon (d, g) and Homer (e, h) in the dentate gyrus and and CA1 showed decrease of synaptic density and post-synaptic density (Homer) in the dentate gyrus and CA1 of Aβosa-inoculated APPswe/PS1dE9 mice (c: Bassoon/Homer in dentate gyrus—overall effect: p < 0.0001 (Kruskal–Wallis). Post-hoc evaluation with Dunn’s multiple comparisons: Aβosa- versus PBS-inoculated APPswe/PS1dE9: p < 0.0001; Aβwt- versus Aβosa-inoculated APPswe/PS1dE9: p = 0.003; e: Homer in dentate gyrus—overall effect: p = 0.0015 (Kruskal–Wallis). Post-hoc evaluation with Dunn’s multiple comparisons: Aβosa- versus PBS-inoculated APPswe/PS1dE9: p = 0.0029; Aβwt- versus Aβosa-inoculated APPswe/PS1dE9: p = 0.0058; f: Bassoon/Homer in CA1—overall effect: p = 0.002 (Kruskal–Wallis). Post-hoc evaluation with Dunn’s multiple comparisons: Aβosa- versus PBS-inoculated animals: p = 0.002; h: Homer in CA1—overall effect: p = 0.0535 (Kruskal–Wallis). Post-hoc evaluation with Dunn’s multiple comparisons: Aβosa- versus PBS-inoculated APPswe/PS1dE9: p = 0.0469. There were no changes in the different groups in the CA2/3 (i) and in the entorhinal cortex (j). nAPP/PS1-PBS = 10, nAβwt = 10, nAβosa = 10 mice. For each image, quantification was made on 26 sections separated by 0.2 µm step. A surface of 81.92*81.92µm2 was measured for each section. Data are shown as mean ± s.e.m

osa inoculation increases long-term Aβ plaque deposition

Four mpi, Aβ plaque load was increased at the inoculation site i.e. in the dentate gyrus of mice inoculated with Aβosa compared to APPswe/PS1dE9 inoculated with PBS (Fig. 6a–c, 6j). Interestingly, Aβ plaque load was also increased in regions connected to the inoculation site as the subiculum (Fig. 6l) and the entorhinal cortex (Fig. 6d–f, 5g), in animals inoculated with Aβosa. The Aβ load was similar in the CA1 (not shown) and CA2/3 (not shown) of the three experimental groups. This can be explained by the low amyloid load in these regions. We did not find differences in plaque morphology (Fig. 6a–i). Taken together, these results indicate that inoculation of Aβosa increases Aβ pathology at 4 mpi.

Fig. 6
figure 6

Modulation of Aβ plaque load following inoculation of Aβ variants. Representative images of 4G8 immunolabeling showing Aβ plaque deposition in the dorsal hippocampus (a-c), subiculum (d-f) and entorhinal cortex (g-i) of APPswe/PS1dE9 mice after PBS, Aβwt or Aβosa inoculation in the dentate gyrus. j-l. Quantification of amyloid load (4G8-positive amyloid plaques per µm2) in the dentate gyrus (j), in the subiculum (k), and in the entorhinal cortex (l). Aβosa increases Aβ plaque deposition in the dentate gyrus (p = 0.04), in the subiculum (p = 0.02), in the entorhinal cortex (p = 0.02). Kruskal–Wallis with Dunn’s multiple comparisons. nAPP/PS1-PBS = 10, nAβwt = 10, nAβosa = 10 mice. Data are shown as mean ± s.e.m. Scale bars main images: 200 µm; Insets: 20 µm

osa inoculation increases Aβ oligomers and modulates APP processing

In order to evaluate if oligomer composition is affected by the inoculation of Aβosa in mice, we fractionated soluble and insoluble Aβ aggregates from the hippocampus by sarkosyl detergent extraction. Western blot analysis of sarkosyl-soluble fraction showed an increase of 15 kDa and 12KDa bands (also referred as 4-mer and 3-mer forms of Aβ oligomers [28]) in Aβosa-inoculated animals (Fig. 7a). On the contrary, Aβwt did not affect amyloid oligomer profiles as compared to PBS. The enrichment in multimeric/assembled forms of Aβ was confirmed by dot blot analysis using conformational antibodies against oligomers (A11) and fibrils (OC). We observed that both species increased in the hippocampus of Aβosa-inoculated APPswe/PS1dE9 mice compared to WT mice (Fig. 7b–d). Taken together, these results support the hypothesis that Aβ seeds are able to modulate Aβ aggregation processes up to 4 mpi.

Fig. 7
figure 7

APP proteolysis profiles and oligomerization of amyloid-β peptides at 4 mpi. a. Western-blot analysis (6E10 Antibody) of total human APP and Aβ oligomeric species in sarkosyl-soluble extracts of the hippocampus of APPswe/PS1dE9 mice after PBS, Aβwt or Aβosa inoculation at 4mpi. Full length APP runs at an apparent molecular size of 110 kDa, oligomeric forms of Aβ are detected at 15 kDa and 12 kDa. b. Dot blot analysis for oligomeric species (A11) and fibrils (OC) in sarkosyl-soluble extract from the hippocampus. c. Quantification of relative expression levels of A11 are presented. Aβosa increased oligomer forms compared to PBS- (p = 0.0019), Aβwt-inoculated (p = 0.0106) APPswe/PS1dE9 and WT mice (p = 0.0142). d. Quantification of relative expression levels of OC are presented. Aβosa increased fibrils compared to Aβwt-inoculated (p = 0.0038) APPswe/PS1dE9 and WT mice (p = 0.0118) e. Western-blot analysis (APP-Cter-17 antibody) of total endogenous APP, APP-CTFs and tubulin in hippocampus lysates (S100K fractions) obtained from wild-type and APPswe/PS1dE9 mice after PBS, Aβwt or Aβosa inoculation. Tubulin staining was used as a marker and loading control. f-g. Semi-quantification of APP (APP-Cter-C17 Antibody (f)) and of β-CTF/C99 and α-CTF/C83 (APP-Cter-C17 Antibody (g)) [39]. Kruskal–Wallis with Dunn’s multiple comparisons. *p < 0.5, **p < 0.05, ***p < 0.005, ****p < 0.0005. nWTPBS = 2, nAPP/PS1PBS = 4, nAβwt = 4, nAβosa = 4 mice. Data are shown as mean ± s.e.m

An alternative hypothesis is that Aβosa modulated APP processing [36]. To test this hypothesis, we assessed APP proteolytic profiles caused by —or β- secretase pathways in the hippocampus at 4 mpi. We quantified by Western blot  -CTF (C83, 9kDA) and β-CTF (C99, 11 kDa) (Fig. 7e–f). We found an increase of  -CTF and β-CTF following Aβosa inoculation compared to PBS and Aβwt-inoculation in APPswe/PS1dE9 mice, suggesting that Aβosa seeds modulate APP processing in vivo (Fig. 7e–f).


We showed that intracerebral inoculation of Aβosa seeds in the hippocampus of a mouse model of amyloidosis worsens the clinical outcome associated with Aβ deposition 4 mpi. This leads to cognitive and synaptic impairments, reduced functional connectivity between brain regions involved in memory circuits, increased focal Aβ plaque deposition at the inoculation site and spreading of Aβ in the brain as well as increased presence of Aβ oligomers and modulation of APP processing.

Amyloid deposition and spreading induced by Aβosa

The Aβ deposition induced by Aβosa inoculation in APPswe/PS1dE9 transgenic mice can be interpreted using mechanistic models explaining prion diseases. They suggest that in presence of preformed amyloid seeds, newly produced non-β-sheet monomers can change their conformation to assemble into novel aggregated amyloid structures thus inducing a self-propagating process [18]. APPswe/PS1dE9 transgenic mice express human-like Aβ1-40 and Aβ1-42 peptides [16] and do not express Aβosa. Thus, likely, Aβosa increased aggregation of endogenous Aβ1-40 or Aβ1-42 peptides. Our Thioflavin binding aggregation assay showing that Aβosa has pro-aggregative properties in presence of Aβ1-42 is consistent with this hypothesis. Several studies have shown that inoculum containing Aβ are eliminated from the brain on the days following the inoculation [19, 52]. It is thus reasonable to assume that Aβosa seeds were eliminated from the brains on the days following their inoculation. The long-term effects of the single inoculation of Aβosa can thus be explained by an early increase of Aβ deposition induced by Aβosa. As we detected changes of APP processing, another non-exclusive hypothesis is that, following Aβosa inoculation and subsequent increased Aβ deposition, APP processing was shifted towards increased Aβ production as shown in [36]. This hypothesis however still has to be validated in vivo.

It is interesting to outline that Aβosa inoculation not only modulated quantitatively the amyloid plaque load, but also increased Aβ oligomers. In addition to a local effect in the dentate gyrus, inoculation of Aβosa induced increased Aβ deposition in the entorhinal cortex, i.e. at distance of the inoculation site. The spreading of Aβ from the inoculum site to interconnected brain regions has already been reported in mice and this has been interpreted as related to a self-propagating process [7, 53]. In our study, it is likely that, the spreading seeds were secondary Aβ seeds produced locally at the inoculation site by the host after Aβosa inoculation. We can however not rule out that Aβosa seeds spread in the entorhinal cortex just after its inoculation to induce Aβ aggregation in this region.

Long-term pathological cascades following Aβosa inoculation

We found that the cascade of events induced by Aβosa is able to induce cognitive and synaptic impairments 4 mpi. To our knowledge, long-term effects of synthetic or recombinant Aβ seeds on cognition or synaptic impairments had not been reported. As Aβ is known to induce synaptic deficits either ex vivo or in transgenic mouse models [38, 40, 41], it is reasonable to consider that the increased Aβ plaque deposition and Aβ oligomersinduced by Aβosa was, at least in part, responsible for the cognitive and synaptic impairments detected in Aβosa-inoculated APPswe/PS1dE9 mice. Local Aβ plaque deposition may however not be the sole culprit in synaptic impairments as Aβ was not changes in the CA1 after Aβosa-inoculation while synaptic density was reduced. Soluble forms of amyloid could be the culprit. Alternatively, the synaptic impairments could be the consequence of Aβ-related neuronal impairments in projecting neurons. Interestingly, we showed that Aβ-associated pathology induced by Aβosa occurred locally and was generalized to the entorhinal cortex. We also found that inoculation of Aβosa affects both local hippocampus functional connectivity and global connections within networks. This contributes to the assumption of an AD-like disconnection syndrome in the inoculated mice. This global disconnection occurs mainly in brain areas connected to the hippocampus and the entorhinal cortex in which Aβ deposits accumulated. Although Aβ build-up seems to trigger the pathological cascade, primary effect linked to Aβosa it-self cannot be excluded. Notably, the interplay between accumulation of Aβosa aggregates and synaptic or memory impairments have been hinted by others in several in vitro and ex vivo studies [21, 45,46,47].

Differences between a single Aβosa inoculation in transgenic mice and pathologies developed by patients or mice producing Aβosa

Extracellular Aβ plaques are rare in patients with Aβosa mutations or in transgenic mice expressing human APP695 with the Osaka mutation (APPE693Δ-Tg mice). These mice express the mutation under the mouse prion protein promoter and have a C57BL/6 background [45]. They have an APP expression level similar to those of endogenous mouse APP and they do not show any Aβ plaques even at 24 months but display an age-dependent accumulation of Aβ oligomers within neurons [29, 45]. Our results showing increased Aβ depositions observed in mice following Aβosa inoculation was unexpected given the lack of Aβ plaques in humans and APPE693Δ-Tg mice. Thus, Aβosa triggers different processes when it is secreted at physiological level and when it is used as an exogenous seed in mice overexpressing Aβ1-40 or Aβ1-42.

Limitations of the study

In our study, we chose to study the impact of Aβosa inoculation in 6-month-old APPswe/PS1dE9 mice, i.e. 4 mpi. In these mice, in the absence of any inoculum, Aβ is continuously secreted and the first Aβ plaques occur in 4-month-old animals, while in 6 month-old animals, they have reached the cortex and the hippocampus. In a previous study, we showed that, in these mice, Aβ plaque load is increased at the inoculation site 4 months after intrahippocampal Alzheimer human brain extract inoculation [24]. Our result with Aβosa is consistent with this result, but showed a spreading of Aβ plaques and cognitive alterations that were not detected at 4 mpi after human brain extract inoculation. Thus, the pathology induced by Aβosa seems more severe than that induced by Alzheimer brain extracts. Unexpectedly, at 4 mpi, Aβwt inoculation had no effect on Aβ plaque deposition. The Aβwt that we used displayed typical characteristics of Aβ, i.e. self-aggregating and synaptotoxic properties in vitro. It is possible that pro-aggregation properties of our recombinant Aβwt was lower than that of Aβosa or human Alzheimer extracts. Thus, animal models that show Aβ deposition more slowly are required to dissociate spontaneous and induced deposition induced by Aβwt. Consistently with this suggestion, the induction of Aβ plaques by synthetic Aβ1-42 (corresponding to Aβwt) seeds has been reported in mice only after 11 or 13 months post-inoculation in slowly evolving models [43, 44]. A complementary hypothesis is that recombinant Aβ1-42 was less toxic than synthetic Aβ1-42. To our knowledge, recombinant Aβ1-42 seeds have never been used for experimental transmission of Aβ in vivo and it is difficult to extrapolate results from synthetic to recombinant seeds as they display different aggregation properties [9, 50].


We showed that a single inoculation of Aβosa induces a long-term cascade of events leading to increased Aβ aggregation and Aβ oligomers in the brain. These events impair synaptic health, leading to cerebral network reorganization and cognitive impairments. This is the first study showing long-term functional toxicity of Aβ seeds. These results suggest that a single, sporadic event as Aβosa inoculation can worsen the fate of the pathology and clinical outcome several months after the event. Further studies are now required to evaluate links between the structure of Aβosa and its toxic effects.

Availability of data and materials

The data that support the findings of this study are available from the corresponding author.





Alzheimer's disease


Months post-inoculation


Amyloid precursor protein


Presenilin 1




Thioflavin T


Seed-based analysis


  1. Abraham A, Pedregosa F, Eickenberg M, Gervais P, Mueller A, Kossaifi J, Gramfort A, Thirion B, Varoquaux G (2014) Machine learning for neuroimaging with scikit-learn. Front Neuroinform.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Balducci C, Beeg M, Stravalaci M, Bastone A, Sclip A, Biasini E, Tapella L, Colombo L, Manzoni C, Borsello T, Chiesa R, Gobbi M, Salmona M, Forloni G (2010) Synthetic amyloid-beta oligomers impair long-term memory independently of cellular prion protein. Proc Natl Acad Sci USA 107:2295–2300.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Celestine M, Nadkarni NA, Garin C, Bougacha S, Dhenain M (2020) Sammba-MRI, a library for small animal neuroimaging data processing in Python. Front Neuroinform.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Dorr AE, Lerch JP, Spring S, Kabani N, Henkelman RM (2008) High resolution three-dimensional brain atlas using an average magnetic resonance image of 40 adult C57Bl/6J mice. Neuroimage 42:60–69.

    Article  CAS  PubMed  Google Scholar 

  5. du Sert NP, Hurst V, Ahluwalia A, Alam S, Avey MT, Baker M, Browne WJ, Clark A, Cuthill IC, Dirnagl U, Emerson M, Garner P, Holgate ST, Howells DW, Karp NA, Lazic SE, Lidster K, MacCallum CJ, Macleod M, Pearl EJ, Petersen OH, Rawle F, Reynolds P, Rooney K, Sena ES, Silberberg SD, Steckler T, Wurbel H (2020) The ARRIVE guidelines 20: Updated guidelines for reporting animal research. Bmc Veterinary Research.

    Article  Google Scholar 

  6. Duyckaerts C, Sazdovitch V, Ando K, Seilhean D, Privat N, Yilmaz Z, Peckeu L, Amar E, Comoy E, Maceski A, Lehmann S, Brion JP, Brandel JP, Haik S (2018) Neuropathology of iatrogenic Creutzfeldt-Jakob disease and immunoassay of French cadaver-sourced growth hormone batches suggest possible transmission of tauopathy and long incubation periods for the transmission of Abeta pathology. Acta Neuropathol 135:201–212.

    Article  CAS  PubMed  Google Scholar 

  7. Eisele YS, Bolmont T, Heikenwalder M, Langer F, Jacobson LH, Yan ZX, Roth K, Aguzzi A, Staufenbiel M, Walker LC, Jucker M (2009) Induction of cerebral beta-amyloidosis: intracerebral versus systemic Abeta inoculation. Proc Natl Acad Sci USA 106:12926–12931.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Epelbaum S, Youssef I, Lacor PN, Chaurand P, Duplus E, Brugg B, Duyckaerts C, Delatour B (2015) Acute amnestic encephalopathy in amyloid-beta oligomer-injected mice is due to their widespread diffusion in vivo. Neurobiol Aging 36:2043–2052.

    Article  CAS  PubMed  Google Scholar 

  9. Finder VH, Vodopivec I, Nitsch RM, Glockshuber R (2010) The recombinant amyloid-beta peptide A beta 1–42 aggregates faster and is more Neurotoxic than Synthetic A beta 1–42. J Mol Biol 396:9–18.

    Article  CAS  PubMed  Google Scholar 

  10. Friston KJ, Holmes AP, Worsley KJ, Poline JP, Frith CD, Frackowiak RSJ (1994) Statistical parametric maps in functional imaging: a general linear approach. Hum Brain Mapp 2:189–210.

    Article  Google Scholar 

  11. Garcia-Alloza M, Robbins EM, Zhang-Nunes SX, Purcell SM, Betensky RA, Raju S, Prada C, Greenberg SM, Bacskai BJ, Frosch MP (2006) Characterization of amyloid deposition in the APPswe/PS1dE9 mouse model of Alzheimer disease. Neurobiol Dis 24:516–524.

    Article  CAS  PubMed  Google Scholar 

  12. Gary C, Lam S, Herard AS, Koch JE, Petit F, Gipchtein P, Sawiak SJ, Caillierez R, Eddarkaoui S, Colin M, Aujard F, Deslys JP, Network FN, Brouillet E, Buée L, Comoy EE, Pifferi F, Picq J-L, Dhenain M (2019) Encephalopathy induced by Alzheimer brain inoculation in a non-human primate. Acta Neuropathol Commun 7:126.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Gilles JF, Dos Santos M, Boudier T, Bolte S, Heck N (2017) DiAna, an ImageJ tool for object-based 3D co-localization and distance analysis. Methods 115:55–64.

    Article  CAS  PubMed  Google Scholar 

  14. Herve D, Porche M, Cabrejo L, Guidoux C, Tournier-Lasserve E, Nicolas G, Adle-Biassette H, Plu I, Chabriat H, Duyckaerts C (2018) Fatal Abeta cerebral amyloid angiopathy 4 decades after a dural graft at the age of 2 years. Acta Neuropathol 135:801–803.

    Article  PubMed  Google Scholar 

  15. Jang H, Arce FT, Ramachandran S, Kagan BL, Lal R, Nussinov R (2014) Disordered amyloidogenic peptides may insert into the membrane and assemble into common cyclic structural motifs. Chem Soc Rev 43:6750–6764.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Jankowsky JL, Fadale DJ, Anderson J, Xu GM, Gonzales V, Jenkins NA, Copeland NG, Lee MK, Younkin LH, Wagner SL, Younkin SG, Borchelt DR (2004) Mutant presenilins specifically elevate the levels of the 42 residue beta-amyloid peptide in vivo: evidence for augmentation of a 42-specific gamma secretase. Hum Mol Genet 13:159–170.

    Article  CAS  PubMed  Google Scholar 

  17. Jaunmuktane Z, Mead S, Ellis M, Wadsworth JD, Nicoll AJ, Kenny J, Launchbury F, Linehan J, Richard-Loendt A, Walker AS, Rudge P, Collinge J, Brandner S (2015) Evidence for human transmission of amyloid-beta pathology and cerebral amyloid angiopathy. Nature 525:247–250.

    Article  CAS  PubMed  Google Scholar 

  18. Jucker M, Walker LC (2013) Self-propagation of pathogenic protein aggregates in neurodegenerative diseases. Nature 501:45–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Kane MD, Lipinski WJ, Callahan MJ, Bian F, Durham RA, Schwarz RD, Roher AE, Walker LC (2000) Evidence for seeding of beta-amyloid by intracerebral infusion of Alzheimer brain extracts in beta -amyloid precursor protein-transgenic mice. J Neurosci 20:3606–3611.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Koffie RM, Hyman BT, Spires-Jones TL (2011) Alzheimer’s disease: synapses gone cold. Mol Neurodeg.

    Article  Google Scholar 

  21. Kulic L, McAfoose J, Welt T, Tackenberg C, Spani C, Wirth F, Finder V, Konietzko U, Giese M, Eckert A, Noriaki K, Shimizu T, Murakami K, Irie K, Rasool S, Glabe C, Hock C, Nitsch RM (2012) Early accumulation of intracellular fibrillar oligomers and late congophilic amyloid angiopathy in mice expressing the Osaka intra-A beta APP mutation. Translational Psychiatry.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Lacor PN, Buniel MC, Chang L, Fernandez SJ, Gong Y, Viola KL, Lambert MP, Velasco PT, Bigio EH, Finch CE, Krafft GA, Klein WL (2004) Synaptic targeting by Alzheimer’s-related amyloid beta oligomers. J Neurosci 24:10191–10200.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Laemmli UK (1970) Cleavage of structural proteins during assembly of head of bacteriophage-T4. Nature.

    Article  PubMed  Google Scholar 

  24. Lam S, Herard AS, Boluda S, Petit F, Eddarkaoui S, Cambon K, Picq JL, Buee L, Duyckaerts C, Haik S, Dhenain M (2022) Pathological changes induced by Alzheimer’s brain inoculation in amyloid-beta plaque-bearing mice. Acta Neuropathol Commun 10:112.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Lam S, Petit F, Hérard A-S, Boluda S, Eddarkaoui S, Guillermier M, Network T-C, Buée L, Duyckaerts C, Haïk S, Picq J-L, Dhenain M (2021) Transmission of amyloid-beta and tau pathologies is associated with cognitive impairments in a primate. Acta Neuropathol Commun 9:165.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Leveille F, El Gaamouch F, Gouix E, Lecocq M, Lobner D, Nicole O, Buisson A (2008) Neuronal viability is controlled by a functional relation between synaptic and extrasynaptic NMDA receptors. Faseb J 22:4258–4271.

    Article  CAS  PubMed  Google Scholar 

  27. LeVine H (1999) Quantification of beta-sheet amyloid fibril structures with thioflavin T. Amyloid, Prions, and Other Protein Aggregates 309:274–284.

    Article  CAS  Google Scholar 

  28. Lutzenberger M, Burwinkel M, Riemer C, Bode V, Baier M (2015) Ablation of CCAAT/enhancer-binding protein delta (C/EBPD): Increased plaque burden in a murine Alzheimer’s disease model. Plos One 10:e0134228.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Matsuyama S, Teraoka R, Mori H, Tomiyama T (2007) Inverse correlation between amyloid precursor protein and synaptic plasticity in transgenic mice. Neuroreport 18:1083–1087.

    Article  CAS  PubMed  Google Scholar 

  30. Meyer-Luehmann M, Coomaraswamy J, Bolmont T, Kaeser S, Schaefer C, Kilger E, Neuenschwander A, Abramowski D, Frey P, Jaton AL, Vigouret JM, Paganetti P, Walsh DM, Mathews PM, Ghiso J, Staufenbiel M, Walker LC, Jucker M (2006) Exogenous induction of cerebral beta-amyloidogenesis is governed by agent and host. Science 313:1781–1784.

    Article  CAS  PubMed  Google Scholar 

  31. Novotny R, Langer F, Mahler J, Skodras A, Vlachos A, Wegenast-Braun BM, Kaeser SA, Neher JJ, Eisele YS, Pietrowski MJ, Nilsson KPR, Deller T, Staufenbiel M, Heimrich B, Jucker M (2016) Conversion of synthetic a beta to in vivo active seeds and amyloid plaque formation in a hippocampal slice culture model. J Neurosci 36:5084–5093.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Ono K, Takahashi R, Ikeda T, Mizuguchi M, Hamaguchi T, Yamada M (2014) Exogenous amyloidogenic proteins function as seeds in amyloid beta-protein aggregation. Biochim Biophys Acta 1842:646–653.

    Article  CAS  PubMed  Google Scholar 

  33. Paxinos G, Franklin KBJ (2001) The mouse brain in stereotaxic coordinates. Academic Press, City

  34. Richards K, Watson C, Buckley RF, Kurniawan ND, Yang ZY, Keller MD, Beare R, Bartlett PF, Egan GF, Galloway GJ, Paxinos G, Petrou S, Reutens DC (2011) Segmentation of the mouse hippocampal formation in magnetic resonance images. Neuroimage 58:732–740.

    Article  PubMed  Google Scholar 

  35. Rodriguez A, Ehlenberger DB, Dickstein DL, Hof PR, Wearne SL (2008) Automated three-dimensional detection and shape classification of dendritic spines from fluorescence microscopy images. Plos One 3:e1997.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Rolland M, Powell R, Jacquier-Sarlin M, Boisseau S, Reynaud-Dulaurier R, Martinez-Hernandez J, André L, Borel E, Buisson A, Lanté F (2020) Interaction of Aβ oligomers with neuronal APP triggers a vicious cycle leading to the propagation of synaptic plasticity alterations to healthy neurons. J Neurosci 40:5161–5176.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Schutz AK, Vagt T, Huber M, Ovchinnikova OY, Cadalbert R, Wall J, Guntert P, Bockmann A, Glockshuber R, Meier BH (2015) Atomic-resolution three-dimensional structure of amyloid beta fibrils bearing the Osaka mutation. Angewandte Chemie-Int Edition 54:331–335.

    Article  CAS  Google Scholar 

  38. Selkoe DJ (2002) Alzheimer’s disease is a synaptic failure. Science 298:789–791.

    Article  CAS  PubMed  Google Scholar 

  39. Sergeant N, David JP, Champain D, Ghestem A, Wattez A, Delacourte A (2002) Progressive decrease of amyloid precursor protein carboxy terminal fragments (APP-CTFs), associated with tau pathology stages, in Alzheimer’s disease. J Neurochem 81:663–672.

    Article  CAS  PubMed  Google Scholar 

  40. Sivanesan S, Tan A, Rajadas J (2013) Pathogenesis of abeta oligomers in synaptic failure. Curr Alzh Res 10:316–323.

    Article  CAS  Google Scholar 

  41. Spires-Jones TL, Hyman BT (2014) The intersection of amyloid beta and tau at synapses in Alzheimer’s disease. Neuron 82:756–771.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Steadman PE, Ellegood J, Szulc KU, Turnbull DH, Joyner AL, Henkelman RM, Lerch JP (2014) Genetic effects on cerebellar structure across mouse models of autism using a magnetic resonance imaging atlas. Autism Res 7:124–137.

    Article  PubMed  Google Scholar 

  43. Stohr J, Condello C, Watts JC, Bloch L, Oehler A, Nick M, DeArmond SJ, Giles K, DeGrado WF, Prusiner SB (2014) Distinct synthetic Abeta prion strains producing different amyloid deposits in bigenic mice. Proc Natl Acad Sci USA 111:10329–10334.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Stohr J, Watts JC, Mensinger ZL, Oehler A, Grillo SK, Dearmond SJ, Prusiner SB, Giles K (2012) Purified and synthetic Alzheimer’s amyloid beta (Abeta) prions. Proc Natl Acad Sci USA 109:11025–11030.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Tomiyama T, Matsuyama S, Iso H, Umeda T, Takuma H, Ohnishi K, Ishibashi K, Teraoka R, Sakama N, Yamashita T, Nishitsuji K, Ito K, Shimada H, Lambert MP, Klein WL, Mori H (2010) A mouse model of amyloid beta oligomers: Their contribution to synaptic alteration, abnormal tau phosphorylation, glial activation, and neuronal loss in vivo. J Neurosci 30:4845–4856.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Tomiyama T, Nagata T, Shimada H, Teraoka R, Fukushima A, Kanemitsu H, Takuma H, Kuwano R, Imagawa M, Ataka S, Wada Y, Yoshioka E, Nishizaki T, Watanabe Y, Mori H (2008) A new amyloid beta variant favoring oligomerization in Alzheimer’s-type dementia. Ann Neurol 63:377–387.

    Article  CAS  PubMed  Google Scholar 

  47. Tomiyama T, Shimada H (2020) APP Osaka mutation in familial Alzheimer’s disease-its discovery, phenotypes, and mechanism of recessive inheritance. Int J Mol Sci 21:1413.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Ullmann JFP, Watson C, Janke AL, Kurniawan ND, Reutens DC (2013) A segmentation protocol and MRI atlas of the C57BL/6J mouse neocortex. Neuroimage 78:196–203.

    Article  PubMed  Google Scholar 

  49. Ulm BS, Borchelt DR, Moore BD (2021) Remodeling Alzheimer-amyloidosis models by seeding. Mol Neurodegener 16:8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Varshavskaya KB, Mitkevich VA, Makarov AA, Barykin EP (2022) Synthetic, cell-derived, brain-derived, and recombinant beta-amyloid: modelling Alzheimer’s Disease for research and drug development. Int J Mol Sci 23:15036.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Vingtdeux V, Hamdane M, Gompel M, Begard S, Drobecq H, Ghestem A, Grosjean ME, Kostanjevecki V, Grognet P, Vanmechelen E, Buee L, Delacourte A, Sergeant N (2005) Phosphorylation of amyloid precursor carboxy-terminal fragments enhances their processing by a gamma-secretase-dependent mechanism. Neurobiol Dis 20:625–637.

    Article  CAS  PubMed  Google Scholar 

  52. Ye L, Fritschi SK, Schelle J, Obermuller U, Degenhardt K, Kaeser SA, Eisele YS, Walker LC, Baumann F, Staufenbiel M, Jucker M (2015) Persistence of Abeta seeds in APP null mouse brain. Nat Neurosci 18:1559–1561.

    Article  CAS  PubMed  Google Scholar 

  53. Ye L, Hamaguchi T, Fritschi SK, Eisele YS, Obermuller U, Jucker M, Walker LC (2015) Progression of seed-induced Abeta deposition within the limbic connectome. Brain Pathol 25:743–752.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references


We thank Martine Guillermier and Mylène Gaudin for surgical expertise during inoculation of proteins to animals. We thank Nicolas Heck for his help in synapse quantification. This work has benefited from the platform and expertise of the Electron Microscopy Facility of I2BC. We thank Nicolas Sergeant for providing the APP-Cter-17 antibody.


The project was funded by the Fondation Vaincre Alzheimer 2018 and the Association France-Alzheimer 2021. It was performed in a core facility supported by/member of NeurATRIS—ANR-11-INBS-0011. It was also supported by internal funds from the Laboratory of Neurodegenerative Diseases and MIRCen. MC was financed by the French Ministère de l'Enseignement Supérieur, de la Recherche, et de l'Innovation. The funding sources had no role in the design of the study, in the collection, analysis, and interpretation of data, nor in writing the manuscript.

Author information

Authors and Affiliations



MC, ASH, AB, and MD. contributed to the study conception and design. MJS, EB, AB provided the recombinant Aβ proteins. MC performed the inoculations in mice. MC designed and performed memory evaluations, MC, JBP, MD designed and performed connectivity studies, MC, ASH, FP, designed and performed the immunohistological analysis in animals. MC, MJS, and AB performed biochemical analysis. MC, LB performed Thioflavin aggregation assays and electron microscopy. MJS, EB, AB performed ex vivo experiments on cell cultures. MC, AB, and MD wrote the manuscript. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Marc Dhenain.

Ethics declarations

Ethics approval and consent to participate

All experimental procedures were conducted in accordance with the European Community Council Directive 2010/63/UE and approved by local ethics committees (CEtEA-CEA DSV IdF N°44, France) and the French Ministry of Education and Research, and in compliance with the 3R guidelines. Animal care was supervised by a dedicated veterinarian and animal technicians.

Consent for publication

Does not apply to the content of this article.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Célestine, M., Jacquier-Sarlin, M., Borel, E. et al. Long term worsening of amyloid pathology, cerebral function, and cognition after a single inoculation of beta-amyloid seeds with Osaka mutation. acta neuropathol commun 11, 66 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Alzheimer’s disease
  • Cerebral connectivity
  • Amyloid-β
  • Aβ Osaka
  • Memory
  • Synapses