Skip to main content
Download PDF

Brains from non-Alzheimer’s individuals containing amyloid deposits accelerate Aβ deposition in vivo

Acta Neuropathologica Communications volume 1, Article number: 76 (2013) Cite this article

Abstract

Background

One of the main features of Alzheimer’s disease (AD) is the presence of Aβ deposits, which accumulate in the brain years before the onset of symptoms. We and others have demonstrated that cerebral Aβ-amyloidosis can be induced in vivo by administration of AD-brain extracts into transgenic mice. However, it is currently unknown whether amyloid formation can be induced using extracts from individuals harboring Aβ deposits, but not clinical disease.

Results

In this study we analyzed the amyloid-inducing capability of samples from individuals affected by mild cognitive impairment (MCI) and Non-Demented persons with Alzheimer’s disease Neuropathology (NDAN). Our results show that inoculation of transgenic mice with MCI and NDAN brain samples accelerated Aβ pathology in a similar way as extracts from confirmed AD.

Conclusions

This data demonstrate that the sole presence of Aβ aggregates in a given sample, regardless of the clinical condition, is capable to accelerate Aβ deposition in vivo. These findings indicate that the amyloid-inducing activity may be present in the brain of people during pre-symptomatic or a-symptomatic stages of AD.

Background

Alzheimer’s disease (AD) is a prevalent brain disorder, mostly affecting individuals over 65 years old [1, 2]. Clinically, this progressive and irreversible neurodegenerative illness is characterized by cognitive decline, which invariably leads to dementia [2]. The hallmark neuropathological lesions of AD brain are the extracellular deposition of misfolded amyloid-β (Aβ) as amyloid plaques and the formation of neurofibrillary tangles composed by intracellular aggregates of hyper-phosphorylated tau [3]. Aβ aggregates in AD can be found in a variety of arrangements such as soluble Aβ oligomers, diffuse deposits, dense core senile plaques, vascular deposits, and intra-cellular aggregates, among others [3, 4]. To different degree, all these structures have been associated to cell toxicity and tissue dysfunction [5–9].

Accumulation of Aβ aggregates in the brain is thought to begin many years or even decades before the onset of AD clinical symptoms [10–13]. Indeed, abundant amounts of Aβ deposits are detected in the brain of some subjects affected by mild cognitive impairment (MCI) [14, 15], which is considered a precursor stage of AD [16, 17]. Most patients with amnestic MCI do not meet the full neuropathologic criteria for AD, but their pathological features suggest a transitional state evolving towards AD [14, 18]. MCI is a clinical condition usually defined by subtle memory changes that do not significantly affect daily life [19]. MCI does not meet diagnostic criteria for dementia; however, people affected by this condition are at high risk to convert into AD [16, 19, 20]. Alternatively, it is widely known that elderly people usually exhibit cerebral Aβ pathology, even without any signs of dementia [11, 12, 21]. In fact, it is not uncommon to find cases of aged non-demented subjects harboring abundant amyloid lesions in their brains (here referred as Non-Demented individuals with Alzheimer’s disease Neuropathology or NDAN). These cases suggest that certain arrangements of misfolded Aβ are not associated to a clinical phenotype or that some people can cope with accumulation of misfolded aggregates [11, 21].

Recent studies have demonstrated that inoculation of AD brain homogenates is able to accelerate amyloid deposition in AD-transgenic mice [22, 23]. Furthermore, AD samples are also able to induce de novo Aβ pathology in animal models that do not spontaneously develop this type of lesions during their whole lifespan [24, 25]. These findings suggest that the accumulation of Aβ deposits follows a seeding-dependent process of misfolding and aggregation that can be induced in a prion-like manner by administration of preformed aggregates [26–30]. Experimental induction of amyloid pathology has been achieved by injection of brain samples from AD patients [22–25] and aged AD-transgenic mice [23, 31, 32]. However, there are no reported studies investigating whether the pathological induction can also be observed upon inoculation of brain samples from persons at potentially pre-symptomatic or a-symptomatic stages of AD, which contain substantial cerebral amyloid deposits, but not overt dementia. In the present study, we evaluated the Aβ seeding capability of MCI and NDAN brains in AD-transgenic animals. Strikingly, we found that MCI and NDAN samples can exacerbate amyloid deposition to a similar or even greater extent than AD specimens.

Methods

Human samples

AD (79 years old, female, AD clinical diagnosis that was confirmed post-mortem), NDAN (81 years old, male, non-demented diagnosis) and aged control (59 years old, male, non-demented diagnosis) brain samples were obtained from the National Disease Research Interchange (Philadelphia, PA, USA). MCI (95 years old, male, MCI diagnosis by neuropsychological test) sample was kindly provided by Dr. Eliezer Masliah (University of California at San Diego, California, USA). All areas analyzed corresponded to the cingulate cortex. Research on human samples was performed following The Code of Ethics of the World Medical Association (Declaration of Helsinki). Informed consent was obtained for experimentation with human subjects. Samples were manipulated following the universal precautions for working with human samples and as directed by the Institutional Review Board of The University of Texas Medical School at Houston.

Transgenic mice

APPSwe/PSEN1∆E9 transgenic mice were obtained from Jackson Laboratory (Bar Harbor, ME, USA). These mice over-express the human version of amyloid precursor protein (APP) harboring the Swedish double mutation (K670M and N671L) and the human presenilin-1 protein with the DeltaE9 mutation (PSEN1-∆E9) [33]. Treated animals were housed in groups of up to 5 in individually ventilated cages under standard conditions (22°C, 12 h light–dark cycle) receiving food and water ad libitum. All animal manipulation was in agreement with NIH guidelines and approved by the Animal Welfare Committee of the University of Texas – Medical School at Houston. 5–8 animals per experimental group were used as indicated in each section. Males and females were indistinctly used (overall 43% males, 57% females).

Preparation and characterization of human brain inocula

Frozen cingulate cortex sections of AD, MCI, NDAN and aged non-demented individuals were homogenized at 10% (w/v) in ice-cold PBS containing a cocktail of protease inhibitors (Roche Diagnostics GmbH, Mannheim, Germany). Resulting homogenates were stored at −80°C until used for animal injection. In order to measure the amount of insoluble Aβ in each case, 200 μL aliquots of each sample were centrifuged at 100,000×g for 1 h and 4°C using a L100K Beckman-Coulter ultracentrifuge (Beckman-Coulter, Brea, CA, USA). Supernatants were recovered and saved as “PBS fractions” and pellets were resuspended in 200 μL of a 2% SDS solution by pipetting and sonication. Samples were centrifuged as explained above and the supernatants were diluted 40 times in EC buffer (0.02 M phosphate buffer, pH 7, 0.4 M NaCl, 2 mM bovine serum albumin, 0.05% CHAPS and 0.05% sodium azide). Pellets were resuspended in 200 μL of 70% formic acid (FA) and centrifuged for 30 minutes using the same temperature and speed previously described. Resulting supernatants ("FA fractions") were diluted 20 times in 1 M Tris buffer (pH 11) to adjust pH. All resulting samples were stored at −80°C until measured by an ELISA kit able to specifically detect Aβ40 and Aβ42 (Invitrogen, Carlsbad, CA, USA). Histological characterization was performed as described below.

Intra-cerebral inoculation of brain extracts

~30 days-old APPSwe/PSEN1∆E9 mice were intra-cerebrally injected with 10 μL of 10% (w/v) human cingulate cortex homogenate. Briefly, mice were anesthetized using isofluorane. Skin was incised and a small hole was drilled in the skull. Samples (brain homogenates and PBS) were injected into the right hippocampus using the following coordinates as measured from bregma: antero-posterior (AP), -1.8 mm; medio-lateral (ML), -1.8 mm; dorso-ventral (DV), -1.8 mm. When finishing treatment, skin was closed using surgical suture. Animals were placed on a thermal pad until recovery and monitored daily for several days. Mice were sacrificed by CO2 inhalation at ~150 days after treatment. Brains were removed and the right (injected) hemisphere was stored in 10% formalin for histological studies.

Histological studies

10-μm-thick serial slices from all animal groups (n = 5-8/group; 5 sections/stain/animal) were processed in parallel for histological analyses. For immunohistochemistry, sections were deparaffinazed and the endogenous peroxidase activity was blocked with 3% H2O2/10% methanol in PBS for 20 min. Then, brain sections were incubated in formic acid 85% for 5 min for antigen retrieval. The sections were incubated overnight at room temperature with the mouse anti-Aβ antibody at a 1:1000 dilution (Covance, Princeton, NJ). After washing, sections were incubated for 1 h with an HRP-linked secondary sheep anti-mouse antibody at a 1:1000 dilution (GE Healthcare, Little Chalfont, UK). Peroxidase reaction was visualized using DAB Kit (Vector) following the manufacturer’s instructions. Finally, sections were dehydrated in graded ethanol, cleared in xylene, and cover-slipped with DPX mounting medium (Innogenex, San Ramon, CA). A similar approach was used for the detection of hyper-phosphorylated tau in human samples (AT8 antibody, 1:100 dilution; Pierce, Rockford, IL, USA). For ThS staining, sections were incubated in ThS (Sigma) solution (0.025% in 50% ethanol) for 5–10 min after deparaffinization. Sections were dehydrated in graded ethanol, cleared in xylene, and cover-slipped with DPX mounting medium (Innogenex, San Ramon, CA).

Quantification of amyloid load by image analysis

Briefly, sagittal slices of all animal groups (n = 5-8 per group) were examined under a microscope (DMI6000B, Leica, Buffalo Grove, IL, USA) and image analyses quantification was performed using the ImagePro software (Rockville, MD, USA). 4G8 immunohistochemistry and ThS staining were quantified in every tenth sections, in a total of 5 sections. All 4G8 and ThS reactive plaques (parenchymal and vascular, induced and naturally occurring) were included in the analyses. Burden was defined as the area of the brain labeled per total area analyzed (data analyses in cortex included all cortical areas). Burden quantification was performed by an investigator blinded to the experimental groups.

Statistical analysis

Data were expressed as means ± standard error (SEM). Skewness/kurtosis statistic test was used to confirming normal distribution of the data. In all the groups, one-way analysis of variance (ANOVA) followed by a Tukey's multiple comparison analysis was used to determine differences among the groups. The values are expressed as means ± SEM. Data was analyzed using the Graph Pad prism software, version 5.0. *p < 0.05, **p < 0.01, ***p < 0.001. Statistical differences were considered significant for values of p < 0.05.

Results

Aβ pathology in AD, MCI and NDAN donor brains

The aggregation and deposition of proteins is one of the main pathological features of AD [3]. To compare the neuropathological changes in MCI and NDAN with the ones observed in a classical AD case, we characterized brain samples from individuals affected by these conditions using different histological techniques. Formalin-fixed samples from the cingulate cortex were stained with thioflavin-S (ThS) to identify amyloid structures, and immunostained using the 4G8 and AT8 antibodies to detect Aβ deposits and hyperphosphorylated-tau, respectively (Figure 1). Extensive accumulation of ThS reactive Aβ deposits was found in the brain of MCI and NDAN individuals (Figure 1a, upper and middle panels), comparable to the one found in the brain from a confirmed AD case. For all three cases, a wide variety of Aβ arrangements, such as parenchymal mature plaques, diffuse aggregates, vascular deposits, and intracellular structures were found. However, established tau pathology was identified only in the AD brain (Figure 1a, lower panels); MCI brains did not display AT8-positive neurons and NDAN samples showed only a couple of reactive neurons in several slices analyzed. As expected, all these pathological characteristics were absent in the brain of a non-demented individual (Figure 1a, right panels).

Figure 1
figure1

Aβ deposition patterns in the brain of AD, MCI, NDAN, and Aged control individuals. (a) The Aβ aggregation profile in the cingulate cortex of a typical AD case was compared to the one present in MCI and NDAN individuals. Slides were stained with an anti-Aβ (4G8) antibody, thioflavin S (ThS) and anti-hyperphosphorylated tau protein (AT8) antibody. Brain slices from an aged non-demented control did not show any AD-associated characteristic (right panels). The scale bar corresponds to 100 μm. (b and c) Aβ levels in these brains were evaluated by serial extraction and ELISA as described in Methods. The quantity of Aβ40 (b) and Aβ42 (c) was measured using ELISA kits specifically designed to identify these peptides. PBS, Phosphate Buffer Saline; SDS, Sodium Dodecyl Sulfate; FA, Formic Acid. The values were expressed as means ± SEM of the different brains used. Samples were measured in duplicates.

Full size image

To further characterize these specimens, we quantified the amount of soluble/insoluble Aβ after serial extraction in phosphate buffered saline (PBS), sodium dodecyl sulfate (SDS), and formic acid (FA) coupled to human-Aβ ELISA. Whereas the levels of insoluble Aβ40 (SDS and FA fractions) in the MCI brain were higher compared to the other samples (Figure 1b), the concentration of this molecule in the NDAN preparation showed similar levels to the one observed in a non-demented aged individual, used as control. Interestingly, the concentration of insoluble Aβ42 was similar among the AD, MCI and NDAN cases (Figure 1c). Only the brain sample obtained from the aged control showed lower levels of this peptide. The amount of SDS-insoluble/formic acid-soluble Aβ42 (representing the most aggregated Aβ species) in AD, MCI and NDAN was ~60-fold higher than in the aged control brain (Figure 1c).

Characterization of APPSwe/PSEN1∆E9 mice for studies of induction of Aβ amyloidosis

Several AD-mouse models have been used to study the transmissibility of Aβ misfolding. Most of the transgenic lines previously used involve overexpression of either the wild type or mutant form of the human amyloid precursor protein (APP). Before starting our study, we investigated the appropriate time-frame to assess an exogenous Aβ seeding effect in the double transgenic mouse model used in this study. For this purpose, we followed the time-course of Aβ aggregation and deposition in the brain of APPSwe/PSEN1∆E9 mice (at 5, 6, 7 and 8 months of age, n = 5-8) by immunohistochemistry. Previous reports suggest that these transgenic animals first start exhibiting amyloid deposits at 4–5 months of age and have extensive plaque deposition at 12 months old [34]. We confirmed these results by observing a time dependent increase of Aβ deposition in both cortex (Figure 2a and 2c) and hippocampus (Figure 2b and 2d). Our data clearly shows that the inflection point in terms of amyloid deposition for this transgenic line is between 6 and 7 months old. The Aβ burden at 7 months old was ~5-fold (cortex) and ~4-fold (hippocampus) higher than in 6 months old mice. Brain samples from male and female subjects showed comparable amounts of Aβ deposits within the same group.

Figure 2
figure2

Time-course of Aβ aggregation in brains of APP Swe /PS1 ∆E9 mice. Brains from 5, 6, 7, and 8 months old animals (n = 5-8) were analyzed by histological staining with an anti-Aβ (4G8) antibody. Representative pictures of Aβ deposition in these mice are shown for the cortical (a) and hippocampal areas (b). The burden of amyloid deposits was measured in cortex (c) and hippocampus (d). The values were expressed as means ± SEM of the different animals used in each group. The scale bar corresponds to 250 μm.

Full size image

Injection of brain extracts from MCI and NDAN individuals induces Aβ aggregation in APPSwe/PSEN1∆E9 mice

To test the hypothesis that the sole presence of Aβ aggregates, regardless of the clinical signs, is required to accelerate Aβ deposition in AD-mice, brain extracts from patients affected by MCI or NDAN were intra-cerebrally (i.c.) injected into APPSwe/PSEN1∆E9 mice at ~1 month old. Additionally, untreated APPSwe/PSEN1∆E9 mice, as well as mice injected with PBS or brain homogenates obtained from either an AD patient or an aged non-demented individual, were used as controls. All animals were sacrificed ~5 months after inoculation (6 months old), and brains were collected for histopathological analyses. Since seeding effects strongly depends on the incubation periods, the time point selected to analyze the animals was chosen to provide sufficient time to observe an effect and avoid a possible masking due to the endogenous appearance of brain amyloidosis. Brain slices were stained with antibodies against Aβ and the burden of this peptide was measured in hippocampus (injection site). In order to assess if seeding expands from its original placement, we also checked brain cortex, which is an area strongly affected by Aβ lesions in AD patients. As expected, we observed a higher amount of amyloid load in mice injected with the AD extract compared to 6 month old untreated animals and mice injected with PBS or an aged-control brain (Figures 3c and 4c). Strikingly, we found that animals inoculated with the MCI extract had a substantially higher amount of Aβ deposits compared to the control groups (Figures 3 and 4). The Aβ burden was ~5-fold (cortex, Figure 3c) and ~11-fold (hippocampus, Figure 4c) higher compared to that observed in 6 months-old untreated animals. The amyloid load in the cortex of these animals was similar to the one observed in mice inoculated with AD brain (Figure 3c), but the amount in hippocampus was higher (Figure 4c). Interestingly, brains from animals inoculated with the NDAN extract also showed an increased deposition of amyloid aggregates, displaying a high amount of Aβ plaques in the cortical area (Figure 3c) in a similar way as observed for the animals injected with the AD and MCI inocula. The induction of Aβ aggregation by NDAN in the cortex was ~4-fold higher than in 6 months old untreated animals (Figure 3c); however, this treatment did not show any statistically significant difference in the hippocampal area (Figure 4). These results demonstrate that MCI and NDAN brain extracts can accelerate Aβ pathology in a similar manner as AD samples. Nevertheless, the presence of extensive-diffuse accumulation of Aβ reactive deposits in the corpus callosum (Figure 4a) was different from the typical aggregates naturally generated in this model (Figure 2a and 2b).

Figure 3
figure3

Injection of brain extracts from MCI and NDAN individuals induce Aβ aggregation in the cortex of AD-transgenic mice. Serial brain slices of animals inoculated with brain homogenates from different sources (n = 5-8) were analyzed by histological staining using an anti-Aβ (4G8) antibody. (a) Representative pictures of the Aβ deposits in different experimental groups and untreated 6 month old animals in cortical area are shown. (b) Magnification of the regions labeled in rectangles in panel (a) of AD-, MCI-, and NDAN-inoculated animals are shown. The scale bar corresponds to 250 μm in (a) and 100 μm in (b). The burden of amyloid deposits was compared among all different control and experimental groups. The 4G8-immunoreative area was measured and divided by the total brain area analyzed (Aβ burden) in the cortex (c) of each group.

Full size image
Figure 4
figure4

APP Swe /PSEN1 ∆E9 mice inoculated with AD and MCI extracts display higher Aβ deposition in the hippocampus. (a) Representative pictures of the deposits stained with the 4G8 antibody in the hippocampus of experimental and control animals (n = 5-8). (b) Magnification of the labeled regions (corpus callosum) in the pictures shown in (a). The scale bar corresponds to 250 μm in (a) and 100 μm in (b). Image analysis was done to quantify the burden of amyloid deposits in the hippocampal area in each group (c). The Aβ deposition was compared among all control and experimental groups.

Full size image

To specifically evaluate the formation of fibrillar amyloid deposits, ThS staining was performed in brains of animals from all experimental and control groups (Figure 5). ThS-reactive deposits were observed mostly in the corpus callosum and fimbria of animals injected with AD or MCI brain extracts (Figure 5a and 5b). Interestingly, the extent of ThS burden in AD and MCI injected animals was lower compared to the Aβ burden measured by antibody binding (Figures 3 and 4), and only reached a statistical significant increase in the hippocampus of animals inoculated with the MCI extract (Figure 5c).

Figure 5
figure5

Injections of brain extracts from AD and MCI patients increase fibrillar Aβ deposition in AD-transgenic animals. Hippocampal tissue from brain treated and untreated animals (n = 5-8) were stained with ThS and analysed with an epifluorescent microscope. The burden of ThS-positive deposits was compared among all different control and experimental groups. Representative pictures of the deposits in the hippocampus of all groups are shown (a). The scale bar corresponds to 250 μm. (b) Magnification of the regions (corpus callosum in AD and MCI, dentate gyrus in NDAN) labeled in rectangles in panel (a). Scale bar correspond to 100 μm. (c) The ThS stained area was measured and divided by the total brain area analyzed (ThS burden).

Full size image

Discussion

A series of recent and exciting studies have opened the possibility that the pathological accumulation of misfolded protein aggregates implicated in AD and other disorders of protein misfolding could be inducible in a similar manner as prions propagate prion diseases [26–30]. At this time, it is unknown whether the process of transmission of protein misfolding operates only in the spreading of the pathological alterations among cells within an affected individual or can also occur, under certain conditions, to transmit the pathology from individual-to-individual, as described for Creutzfeldt-Jakob disease (CJD). From the experiments performed in animal models, it seems clear that the pathology can be induced by exposure of animals to exogenous tissue homogenates containing aggregates. However, future experiments should address whether the pathology can be induced by more practical and relevant routes of exposure to materials not coming from terminally-sick individuals. In this sense, a putative transmissible origin of Aβ pathology would seem more plausible if Aβ deposition can be also induced by exposure to materials derived from “pre-symptomatic” or “a-symptomatic” cases of AD, since these individuals are more prone to act as donors for tissues and fluids designated for human use. In order to address this issue, we analyzed the amyloid induction capability of samples from individuals affected by MCI (considered as a pre-symptomatic version of AD) and NDAN (which would correspond to an a-symptomatic form of the disease). The particular samples used in this study showed similar amounts of insoluble Aβ in the cingulate cortex and abundant accumulation of amyloid plaques, mostly in cortical and hippocampal areas of the brain. By intra-cerebrally challenging APPSwe/PSEN1∆E9 transgenic mice with these samples, we demonstrated that the sole presence of Aβ aggregates, regardless of the presence of clinical signs, was sufficient to induce Aβ deposition. Although previous reports have shown a limited induction of Aβ aggregation when brain samples from non-demented individuals were injected to tg2576 [22] and APP23 [23] mice, no reports have shown before a comparison with the pathological induction produced by an AD brain. Since MCI and NDAN samples did not exhibit some of the other alterations typical of AD (e.g. neurofibrillary tangles), our results indirectly support the concept that Aβ aggregates are likely the culprit for the pathological induction. The later conclusion has been strongly supported by the elegant immuno-depletion experiments performed by Jucker and colleagues [23] and the induction of pathology by synthetic Aβ aggregates [35].

Importantly, the seeding effect of AD, MCI and NDAN samples was observed in the cerebral cortex, a brain region anatomically separated from the one used for injection. These results confirm recent findings from us and others showing that Aβ aggregates appear also in the cortex after intrahippocampal injection, suggesting that the pathology can spread to areas other than the injection site [22–24]. This is important, since tissue spreading is one of the main functional features of prion-like proteins [30]. Our results indicate that amyloid seeds coming from MCI and NDAN individuals induced the formation of Aβ deposits with features slightly different than those observed spontaneously in the brain of older untreated transgenic mice. Induced lesions showed a higher proportion of aggregates in the corpus callosum area and structures with lower degree of staining with ThS than those naturally occurring in these animals at advanced age. Importantly, brain homogenate from an aged individual lacking of detectable Aβ structures by histological analyses failed to induce plaque deposition in these mice.

Conclusions

Our findings demonstrate the prion-like behavior of Aβ aggregates coming from people not formally considered as affected by AD. Hundreds of cases of human-to-human prion transmission have been reported involving blood transfusions, hormone transfer from cadaveric preparations, tissue transplants, and use of contaminated surgical instruments [36]. Importantly, in all these cases, the transmission was from people at the pre-symptomatic stage of the prion disease. Due to their lack of clinical symptoms, MCI and NDAN affected individuals are currently not considered sick, and as in pre-symptomatic CJD transmission, they might be the ones with the higher potential to transmit misfolded seeds to healthy population. Although a recent epidemiological study showed that individuals receiving human-derived growth hormone from future or current AD patients were not at higher risk of developing dementia [37], additional studies directed to confirm/discard the possibility of inter-individual transmission of amyloid pathology in humans are necessary.

References

  1. 1.

    Hebert LE, Scherr PA, Bienias JL, Bennett DA, Evans DA: Alzheimer disease in the US population: prevalence estimates using the 2000 census. Arch Neurol 2003, 60: 1119–1122.

    Article  PubMed  Google Scholar 

  2. 2.

    Thies W, Bleiler L: Alzheimer's disease facts and figures. Alzheimers Dement 2011,2011(7):208–244.

    Google Scholar 

  3. 3.

    Gomez-Isla T, Spires T, de CA, Hyman BT: Neuropathology of Alzheimer's disease. Handb Clin Neurol 2008, 89: 233–243.

    Article  PubMed  Google Scholar 

  4. 4.

    Estus S, Borchelt D, Kindy MS, Vassar R: Abeta deposition is essential to AD neuropathology. J Alzheimers Dis 2002, 4: 133–138.

    CAS  PubMed  Google Scholar 

  5. 5.

    Glabe CG: Common mechanisms of amyloid oligomer pathogenesis in degenerative disease. Neurobiol Aging 2006, 27: 570–575.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Haass C, Selkoe DJ: Soluble protein oligomers in neurodegeneration: lessons from the Alzheimer's amyloid beta-peptide. Nat Rev Mol Cell Biol 2007, 8: 101–112.

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Mucke L, Selkoe DJ: Neurotoxicity of Amyloid beta-Protein: Synaptic and Network Dysfunction. Cold Spring Harb Perspect Med 2012, 2: a006338.

    PubMed Central  Article  PubMed  Google Scholar 

  8. 8.

    Murakami K, Irie K, Morimoto A, Ohigashi H, Shindo M, Nagao M, Shimizu T, Shirasawa T: Neurotoxicity and physicochemical properties of Abeta mutant peptides from cerebral amyloid angiopathy: implication for the pathogenesis of cerebral amyloid angiopathy and Alzheimer's disease. J Biol Chem 2003, 278: 46179–46187.

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    Oddo S, Caccamo A, Shepherd JD, Murphy MP, Golde TE, Kayed R, Metherate R, Mattson MP, Akbari Y, LaFerla FM: Triple-transgenic model of Alzheimer's disease with plaques and tangles: intracellular Abeta and synaptic dysfunction. Neuron 2003, 39: 409–421.

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    Nelson PT, Braak H, Markesbery WR: Neuropathology and cognitive impairment in Alzheimer disease: a complex but coherent relationship. J Neuropathol Exp Neurol 2009, 68: 1–14.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  11. 11.

    Moore BD, Chakrabarty P, Levites Y, Kukar TL, Baine AM, Moroni T, Ladd TB, Das P, Dickson DW, Golde TE: Overlapping profiles of Abeta peptides in the Alzheimer's disease and pathological aging brains. Alzheimers Res Ther 2012, 4: 18.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  12. 12.

    Price JL, McKeel DW Jr, Buckles VD, Roe CM, Xiong C, Grundman M, Hansen LA, Petersen RC, Parisi JE, Dickson DW, et al.: Neuropathology of nondemented aging: presumptive evidence for preclinical Alzheimer disease. Neurobiol Aging 2009, 30: 1026–1036.

    PubMed Central  Article  PubMed  Google Scholar 

  13. 13.

    Jack CR Jr, Knopman DS, Jagust WJ, Petersen RC, Weiner MW, Aisen PS, Shaw LM, Vemuri P, Wiste HJ, Weigand SD, et al.: Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers. Lancet Neurol 2013, 12: 207–216.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  14. 14.

    Petersen RC, Parisi JE, Dickson DW, Johnson KA, Knopman DS, Boeve BF, Jicha GA, Ivnik RJ, Smith GE, Tangalos EG, et al.: Neuropathologic features of amnestic mild cognitive impairment. Arch Neurol 2006, 63: 665–672.

    Article  PubMed  Google Scholar 

  15. 15.

    Wolk DA, Price JC, Saxton JA, Snitz BE, James JA, Lopez OL, Aizenstein HJ, Cohen AD, Weissfeld LA, Mathis CA, et al.: Amyloid imaging in mild cognitive impairment subtypes. Ann Neurol 2009, 65: 557–568.

    PubMed Central  Article  PubMed  Google Scholar 

  16. 16.

    Dubois B, Albert ML: Amnestic MCI or prodromal Alzheimer's disease? Lancet Neurol 2004, 3: 246–248.

    Article  PubMed  Google Scholar 

  17. 17.

    Petersen RC: Mild cognitive impairment: transition between aging and Alzheimer's disease. Neurologia 2000, 15: 93–101.

    CAS  PubMed  Google Scholar 

  18. 18.

    Bennett DA, Schneider JA, Bienias JL, Evans DA, Wilson RS: Mild cognitive impairment is related to Alzheimer disease pathology and cerebral infarctions. Neurology 2005, 64: 834–841.

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Petersen RC: Clinical practice. Mild cognitive impairment. N Engl J Med 2011, 364: 2227–2234.

    CAS  Article  PubMed  Google Scholar 

  20. 20.

    Petersen RC, Smith GE, Waring SC, Ivnik RJ, Tangalos EG, Kokmen E: Mild cognitive impairment: clinical characterization and outcome. Arch Neurol 1999, 56: 303–308.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Erten-Lyons D, Woltjer RL, Dodge H, Nixon R, Vorobik R, Calvert JF, Leahy M, Montine T, Kaye J: Factors associated with resistance to dementia despite high Alzheimer disease pathology. Neurology 2009, 72: 354–360.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  22. 22.

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

    CAS  PubMed  Google Scholar 

  23. 23.

    Meyer-Luehmann M, Coomaraswamy J, Bolmont T, Kaeser S, Schaefer C, Kilger E, Neuenschwander A, Abramowski D, Frey P, Jaton AL, et al.: Exogenous induction of cerebral beta-amyloidogenesis is governed by agent and host. Science 2006, 313: 1781–1784.

    CAS  Article  PubMed  Google Scholar 

  24. 24.

    Morales R, Duran-Aniotz C, Castilla J, Estrada LD, Soto C: De novo induction of amyloid-beta deposition in vivo. Mol Psychiatry 2012, 17: 1347–1353.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Rosen RF, Fritz JJ, Dooyema J, Cintron AF, Hamaguchi T, Lah JJ, LeVine H III, Jucker M, Walker LC: Exogenous seeding of cerebral beta-amyloid deposition in betaAPP-transgenic rats. J Neurochem 2012, 120: 660–666.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  26. 26.

    Soto C, Estrada L, Castilla J: Amyloids, prions and the inherent infectious nature of misfolded protein aggregates. Trends Biochem Sci 2006, 31: 150–155.

    CAS  Article  PubMed  Google Scholar 

  27. 27.

    Prusiner SB: Cell biology. A unifying role for prions in neurodegenerative diseases. Science 2012, 336: 1511–1513.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  28. 28.

    Aguzzi A, Rajendran L: The transcellular spread of cytosolic amyloids, prions, and prionoids. Neuron 2009, 64: 783–790.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Brundin P, Melki R, Kopito R: Prion-like transmission of protein aggregates in neurodegenerative diseases. Nat Rev Mol Cell Biol 2010, 11: 301–307.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  30. 30.

    Soto C: Transmissible proteins: expanding the prion heresy. Cell 2012, 149: 968–977.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  31. 31.

    Eisele YS, Obermuller U, Heilbronner G, Baumann F, Kaeser SA, Wolburg H, Walker LC, Staufenbiel M, Heikenwalder M, Jucker M: Peripherally applied A{beta}-containing inoculates induce cerebral {beta}-amyloidosis. Science 2010, 330: 980–982.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  32. 32.

    Hamaguchi T, Eisele YS, Varvel NH, Lamb BT, Walker LC, Jucker M: The presence of Abeta seeds, and not age per se, is critical to the initiation of Abeta deposition in the brain. Acta Neuropathol 2012, 123: 31–37.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  33. 33.

    Jankowsky JL, Fadale DJ, Anderson J, Xu GM, Gonzales V, Jenkins NA, Copeland NG, Lee MK, Younkin LH, Wagner SL, et al.: 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 2004, 13: 159–170.

    CAS  Article  PubMed  Google Scholar 

  34. 34.

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

    CAS  Article  PubMed  Google Scholar 

  35. 35.

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

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  36. 36.

    Brown P, Preece M, Brandel JP, Sato T, McShane L, Zerr I, Fletcher A, Will RG, Pocchiari M, Cashman NR, et al.: Iatrogenic Creutzfeldt-Jakob disease at the millennium. Neurology 2000, 55: 1075–1081.

    CAS  Article  PubMed  Google Scholar 

  37. 37.

    Irwin DJ, Abrams JY, Schonberger LB, Leschek EW, Mills JL, Lee VM, Trojanowski JQ: Evaluation of potential infectivity of Alzheimer and Parkinson disease proteins in recipients of Cadaver-derived human growth hormone. JAMA Neurol 2013, 70: 462–468.

    PubMed Central  Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors would like to thank Dr. Eliezer Masliah (University of California at San Diego) for providing brain tissue of the MCI patient. We are also grateful to the National Disease Research Interchange (Philadelphia, PA, USA) for providing us brain tissue from AD and controls. This work was partially funded by an award from the Mitchell Foundation to C.S. and a Grant from the Alzheimer’s Association (MNIRGD-12-243075) to R.M.

Author information

Author notes

  1. Claudia Duran-Aniotz

    Present address: Laboratory of Cellular Stress and Biomedicine, Institute of Biomedical Sciences, School of Medicine, University of Chile, 1027 Independencia, PO Box 70086, Santiago, Chile

Affiliations

  1. Mitchell Center for Alzheimer’s Disease and Related Brain Disorders, Department of Neurology, University of Texas Houston Medical School, Houston, TX, 77030, USA

    Claudia Duran-Aniotz, Rodrigo Morales, Ines Moreno-Gonzalez, Ping Ping Hu & Claudio Soto

  2. Facultad de Medicina, Universidad de los Andes, Av. San Carlos de Apoquindo 2200, Las Condes, Santiago, Chile

    Claudia Duran-Aniotz

  3. Education Ministry Key Laboratory on Luminescence and Real-Time Analysis, College of Life Sciences, Southwest University, Chongqing, China

    Ping Ping Hu

Authors
  1. Claudia Duran-Aniotz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rodrigo Morales
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ines Moreno-Gonzalez
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ping Ping Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Claudio Soto
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Claudio Soto.

Additional information

Competing interests

The authors declare no competing financial interests in this research.

Authors’ contributions

CD-A designed the experiments, participated in animal manipulation, performed the histological analyses (including image and statistical analyses), prepared the figures and wrote part of the preliminary version of the manuscript. RM designed the experiment, performed most of the animal manipulations, and wrote the preliminary version of the manuscript. IM-G performed human histological staining and image analysis, and prepared the figures. PPH participated in animal genotyping and in some histological procedures. CS supervised the entire project, designed the research plan, and wrote the final version of the manuscript. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Duran-Aniotz, C., Morales, R., Moreno-Gonzalez, I. et al. Brains from non-Alzheimer’s individuals containing amyloid deposits accelerate Aβ deposition in vivo . acta neuropathol commun 1, 76 (2013). https://doi.org/10.1186/2051-5960-1-76

Download citation

Keywords

  • Mild Cognitive Impairment
  • Mild Cognitive Impairment Brain
  • Formic Acid Fraction

Acta Neuropathologica Communications

ISSN: 2051-5960

Contact us