Abstract
As an extension of the brain, the spinal cord has unique properties which could allow us to gain a better understanding of CNS pathology. The brain and cord share the same cellular components, yet the latter is simpler in cytoarchitecture and connectivity. In Alzheimer’s research, virtually all focus is on brain pathology, however it has been shown that transgenic Alzheimer’s mouse models accumulate beta amyloid plaques in spinal cord, suggesting that the cord possesses the same molecular machinery and conditions for plaque formation. Here we report a spatial-temporal map of plaque load in 5xFAD mouse spinal cord. We found that plaques started to appear at 11 weeks, then exhibited a time dependent increase and differential distribution along the cord. More plaques were found in cervical than other spinal levels at all time points examined. Despite heavy plaque load at 6 months, the number of cervical motor neurons in 5xFAD mice is comparable to wild type littermates. On detailed microscopic examination, fine beta amyloid-containing and beta sheet-rich thread-like structures were found in the peri-axonal space of many axons. Importantly, these novel structures appear before any plaque deposits are visible in young mice spinal cord and they co-localize with axonal swellings at later stages, suggesting that these thread-like structures might represent the initial stages of plaque formation, and could play a role in axonal damage. Additionally, we were able to demonstrate increasing myelinopathy in aged 5xFAD mouse spinal cord using the lipid probe Nile Red with high resolution. Collectively, we found significant amyloid pathology in grey and white matter of the 5xFAD mouse spinal cord which indicates that this structure maybe a useful platform to study mechanisms of Alzheimer’s pathology and disease progression.
Introduction
Alzheimer’s disease (AD) is a neurodegenerative disease characterized by the accumulation of amyloid plaques and neurofibrillary tangles in various brain regions, depending on disease stage [1]. Most studies have traditionally focused on the brain, with far less attention paid to other areas of the central nervous system (CNS), such as the spinal cord. However, it has been shown in AD patients that beta amyloid plaques [2,3], neurofibrillary tangles and hyperphosphorylated tau [4,5] can accumulate in the spinal cord. What is not known is how much AD pathology of the spinal cord contributes to the functional disturbances such as gait, balance, bowel and bladder dysfunction commonly seen in late stage AD patients. The critical role of the spinal cord within the CNS, and its seeming propensity to accumulate AD pathology, warrants further investigation. Moreover, its long anatomy, large-diameter axons, well organized white matter tracts, and segmental nature may help to gain a better mechanistic view of the development and progression of the disease such as amyloid protein transfer between neurons, axonopathy [6] and white matter pathologies.
Animal model systems have proven to be very useful in the exploration of AD pathologies and therapeutic strategies [7,8]. In our study, we used 5xFAD mice which develop extensive and rapid amyloid pathology in the brain [9]. The 5xFAD strain carries 5 human familial AD gene mutations, with 3 in the gene encoding amyloid precursor protein (APP) and the other two in the presenilin-1 gene. 5xFAD mouse exhibits many abnormalities including intraneuronal beta amyloid accumulation, activation of astrocytes and microglia, reduction in synaptic protein, neuronal loss in cortical layer 5 and subiculum with caspase-3 activation, and cognitive decline [9,10]. The relatively rapid accumulation of AD pathology makes this mouse line attractive to study pathophysiological mechanisms.
Previous studies using different strains of transgenic mice harbouring human amyloid precursor protein and/ or presenilin mutations mention deposition of plaques in the spinal cord [11–13], with tangles also present if tau mutations co-exists [14]. However, little is known about the systematic accumulation of cord pathology in AD transgenic mice. The aim of our study was to examine the 5xFAD mouse spinal cord in a spatial and temporal manner to gauge its potential for use as a model for the development of AD pathology. Furthermore, the structural advantages of spinal axons may facilitate the detection of subtle pathological amyloid deposition that has not been reported previously. Indeed, we found non-uniform distribution of amyloid plaques along the spinal cord. We also show that spinal axons contain fine thread-like deposits of beta amyloid, together with micro-structural changes in the myelin sheath, suggesting that axonopathy and myelinopathy, driven by subcellular accumulation of beta amyloid, might play a role in the pathophysiology of AD, not only in the spinal cord, but throughout the CNS.
Materials and methods
Animals
All animal experiments were approved by the Animal Care Committee at the University of Calgary. All applicable international, national, and institutional guidelines for the care and use of animals were followed. 5xFAD mice (Tg6799, stock number 34840-JAX) were purchased from the Jackson Laboratory (Bar Harbor, ME, USA), the colony was maintained by crossing heterozygous transgenics with wild type mice. Genotyping was performed by polymerase chain reaction analysis of ear sample DNA according to Jackson Laboratory’s instructions. Wild type littermates were used as controls. A total of 34 mice were used in the study.
Perfusion and tissue processing
Animals were given a lethal dose of sodium pentobarbital and perfused intracardially with normal saline followed by ~50ml of fixative containing 4% paraformaldehyde in 0.1M phosphate buffer (pH 7.4). The brain and spinal cord were harvested, post-fixed with fresh fixative overnight, and subsequently placed in 30% phosphate buffered sucrose. After the samples had sunk, the cords were embedded in optimum cutting temperature compound (VWR, Suwanee, GA, USA), frozen in pre-cooled isopentane, and cut in cross or sagittal sections at a thickness of 10 μm on a cryostat. The sections were collected on SuperFrosted Plus slides (VWR, Chester, PA, USA) and stored at -20°C for later use.
Immunohistochemistry
We used anti-beta amyloid (1–16) clone 6E10 and anti-beta amyloid (1–42, AB42) antibodies to label beta amyloid species. Antigen retrieval with formic acid was performed unless otherwise noted. Briefly, sections were washed with 0.01M phosphate buffered saline (PBS, pH 7.4) and treated with 98% formic acid for 5 minutes at room temperature. After washing with PBS, the sections were incubated in blocking solution containing 10% normal serum, 1% bovine serum albumin and 0.3% triton X-100 for 1 hour at room temperature. The sections were subsequently incubated in primary antibodies at 4°C for 14–16 hours. Primary antibodies (Table 1) were omitted in secondary-only controls. After three washes (15 min each) in PBS-tween 20 (0.05%, PBS-T), the sections were incubated in the corresponding fluorescent conjugated secondary antibodies (1:500, Invitrogen) in PBS for 1 hour at room temperature. After three washes in PBS-T, sections were mounted with Fluoromount mounting medium (Cedarlane, Burlington, ON, Canada).
Table 1. Primary antibodies used in the study.
Primary Antibody | Source | Catalog Number | Dilution |
---|---|---|---|
Beta amyloid (1–16), clone 6E10 | Covance | SIG-39320 | 1:1000 |
Beta amyloid (1–42) | Millipore | AB5078P | 1:200 |
Choline acetyltransferase (ChAT) | Millipore | AB144P | 1:200 |
Ionized calcium binding adaptor molecule (IBA-1) | WAKO | 019–19741 | 1:200 |
Glial fibillary acidic protein (GFAP) | DAKO | Z0334 | 1:500 |
Nogo-A | Millipore | AB5664P | 1:200 |
Neurofilament 200kDa (NF)-rabbit | Sigma | N4142 | 1:1000 |
Neurofilament 160kDa (NF)-chicken | Novus Biologicals | NB300-222 | 1:1000 |
Amyloid precursor protein (APP) | Abcam | Ab2072 | 1:100 |
Myelin Basic Protein (SMI99) | Covance | SMI-99P | 1:1000 |
CNPase | Covance | SMI-91R | 1:500 |
Tyrosine Hydroxylase (TH) | Millipore | AB152 | 1:200 |
Lysosomal-associated membrane protein 1 (LAMP1) | BD Pharmingen | 553792 | 1:200 |
Phospho-tau (Ser202, Thr205), clone AT8 | Invitrogen | MN1020 | 1:200 |
For co-labeling of myelin basic protein (SMI 99) and beta amyloid, we achieved better results with a 2-step staining procedure. Briefly, sections were treated with formic acid and labeled with anti-beta amyloid (AB42) and anti-neurofilament (chicken host) antibodies followed by secondary antibodies as described above. Then we delipidated the sections in acetone for 90 seconds followed by three washes in PBS. We then incubated the sections in SMI 99 antibody at 4°C for 14–16 hours followed by fluorescent conjugated goat anti-mouse secondary antibody. After three washes in PBST, sections were mounted with Fluoromount.
All images were acquired with a Nikon A1 confocal microscope equipped with spectral detector and a 25X water dipping objective (NA = 1.1, Nikon, Japan).
Quantitation of beta amyloid plaques
Cervical (C7-C8), thoracic (T12) and lumbar (L4-5) spinal cross sections from 5xFAD and wild type mice at different ages (n = 3 for 11 week; n = 4 for 19 week; and n = 5 for 27 week old mice) were immunolabeled with 6E10 and fluorescent conjugated antibodies. Five sections were used for each sample. Whole spinal cross-sections were scanned with a slide scanner (Olympus VS120-S5, Tokyo, Japan). They were then imported into Fiji (https://fiji.sc/) and whole spinal cord (grey and white matter) analyzed using the particle analyzer function with thresholding.
Counting of motor neurons
C7-C8 spinal sections from 27 week-old wild type and 5xFAD mice (n = 5 in each group) were immunolabeled with anti-choline acetyltransferase (ChAT), a motor neuron marker, as described above. Eleven sections each spaced 200μm apart were counted for each sample. All ChAT positive motor neurons in the ventral horn were counted. The total numbers of counted motor neurons in each group was compared using Student’s t test.
TUNEL staining and co-labeling
Apoptotic cells in 5xFAD spinal cross-sections were labeled with the ApopTag fluorescein in situ apoptosis detection kit (Catalog number S7110, Millipore, Bedford, MA, USA) according to manufacturer’s instructions. Briefly, sections were post-fixed using a 2:1 ratio of ethanol and acetic acid at -20°C for 5 minutes followed by 3 washes with PBS. They were then exposed to an enzyme (terminal deoxynucleotidyl transferase) which adds digoxigenin-conjugated nucleotides to the DNA strand breaks at 37°C for 1 hour. The enzymatic reaction was stopped with stop wash buffer. The sections were washed, then incubated in fluorescein-conjugated anti-digoxigenin along with other primary antibodies for 1 hour at room temperature. After three washes with PBS, sections were incubated in appropriate secondary antibodies for 30 minutes at room temperature, then washed 3x with PBS and mounted with 4',6-diamidino-2-phenylindole (DAPI) containing ProLong Gold mounting medium (Molecular Probes, Eugene, OR, USA).
Fluorescent amyloid probes
We used three conformationally sensitive amyloid probes to confirm the identity of the beta amyloid threads. The staining protocols used were slightly modified from those in the literature. Briefly, for pentamer formyl thiophene acetic acid (pFTAA) staining [15], 3μM of pFTAA dissolved in 0.01M PBS (pH7.4) was applied to tissue on slides for 60 minutes at room temperature. For thioflavin T (ThT, Abcam, Cambridge, MA, USA) staining [16], 0.5% ThT dissolved in 1N hydrochloric acid was applied for 5 minutes at room temperature. The sections were then rinsed three times with PBS using a disposable transfer pipette and mounted with Fluoromount.
For 4,4'-[(2-Bromo-1,4-phenylene)di-(1E)-2,1-ethenediyl]bisphenol (K114, Tocris, Ellisville, MO, USA) staining, 150μM K114 [17] was dissolved in 1:1 ratio of dimethyl sulfoxide (DMSO) and 0.1M sodium bicarbonate buffer (pH 10.5) and applied to tissue on slides for 30 minutes at room temperature. The sections were then rinsed three times with sodium bicarbonate buffer and mounted with 1:1 ratio of Fluoromount and sodium bicarbonate buffer to maintain pH at 10.5. Images were taken with a Nikon A1 confocal microscope equipped with a spectral detector for K114 spectral analysis.
For co-labeling of K114 and AB42, K114 staining was performed and spectral images were acquired before immuno-labeling with AB42 since formic acid disrupts the amyloid structure required for K114 binding. The same area was re-imaged and the resulting micrographs were registered and merged for colocalization analysis.
Spectral processing and analysis
Spectral images were imported into ImageTrak (http://www.ucalgary.ca/styslab/imagetrak, written by P.K.S.) for processing and analysis. The image was divided into equally sized subregions, or “kernels”, consisting of a square of 3x3 pixels. The average spectrum was calculated from all pixels within a kernel to increase the signal-to-noise ratio. To numerically quantify K114 spectral shifts, two ‘extreme’ reference (bracketing) spectra were generated from K114-stained wild type mouse samples (using non-plaque background fluorescence) and plaque-containing 5xFAD mice. For each kernel a non-linear spectral transformation algorithm was used to calculate an index reflecting how closely each kernel’s spectral shape resembles either of the two extreme bracketing spectra. The indexes were then pseudo-coloured into a heat map from violet to red, for a visual representation of the spectral ranges in the image.
Nile Red staining and quantitaion of myelin abnormalities
Sagittal tissue sections were washed with 0.01M PBS, then Nile Red was applied at 20 μM for 5 minutes at room temperature. The sections were then rinsed in PBS and imaged by spectral confocal. To count the number of myelin abnormalities, animals from 19 week-, 27 week-, 37 week- old 5xFAD mice, and 37-week old WT mice (n = 3 in each group) were used. Fields of 250 μm x 250 μm images with 500 μm apart between images were taken with 25X lens and motorized stage. At least 5 fields were taken from each section and at least 2 sections were used for each sample. Abnormalities include myelin spheres and myelin thickening were counted by a blinded observer. For co-labeling of Nile Red and AB42, Nile Red staining was performed and spectral images were acquired before immuno-labeling with AB42 and counterstaining with DAPI. The same area was re-imaged and micrographs were registered and merged for analysis.
Statistical analysis
Results are expressed as mean ± standard error of the mean (SEM). One-way analysis of variance and the Tukey multiple comparisons test or Student’s t-test, where appropriate, were used to determine the statistical significance of differences among the means. A value of p <0.05 was considered significant.
Results
Beta amyloid plaques accumulate in grey and white matter in 5xFAD spinal cord
Cross-sections of spinal cords from 27 week old 5xFAD mice immuno-labeled with 6E10 antibody revealed amyloid plaques primarily deposited in ventral and dorsal grey matter except Rexed lamina layers I and II (Fig 1A). A few plaques were also found in spinal white matter, particularly in the ventral part of the dorsal column that corresponds to the corticospinal tract in rodents.
We then examined the spatial-temporal distribution of beta amyloid plaques. We surveyed the brain and spinal cord at 6, 8, 11, 19 and 27 week old mice. As previously reported [9], 6E10 positive plaques were found in 5xFAD mouse brains in all samples older than 6 weeks (Fig 1D). In contrast, plaques were not observed in the spinal cord of 5xFAD mice until 11 weeks of age, when they were found only in cervical and lumbar regions. At 19 and 27 weeks, plaques were found along the entire length of the spinal cord, primarily in the grey. We quantified the number of plaques at the 7th-8th cervical, 12th thoracic and 4th-5th lumbar segments at 11, 19, and 27 weeks of age and found that plaque number increased over time at each level. Notably, the cervical spinal cord had by far the highest number of plaque per section (Fig 1B) or plaque density (Fig 1C) at all ages examined.
Beta amyloid plaques are not toxic to spinal motor neurons
We immuno-labeled spinal cross-sections from 27 week old 5xFAD mice and age matched wild type (WT) littermates with anti-ChAT antibody (Fig 2A 1&2) to identify motor neurons. We counted the number of motor neurons in cervical cord, where the greatest number of plaque was found. Quantitative results revealed no difference between the total number of counted motor neurons in 5xFAD mice versus WT littermates (p = 0.08, Fig 2B). We further confirmed this finding using an apoptosis labeling kit (Fig 2C) which consistently showed at most only one or two TUNEL positive nuclei in each cervical cross-section. Co-labeling with cellular markers suggested that most of these apoptotic cells were either Iba-1-positive microglia or GFAP-positive astrocytes. No TUNEL-positive neurons or oligodendrocytes were found.
Beta amyloid-positive threads in white and grey matter
Besides the obvious plaques, we observed a large number of punctate features in cross-sectional white matter in all plaque-laden samples stained with either 6E10 or beta amyloid 1–42 (AB42) isoform specific antibodies. Most had distinct features which excluded artifact such as antibody or tissue debris, and the puncta were primarily localized in descending tracts as shown in Fig 3A. To examine this further we processed additional spinal cord samples longitudinally. Since 6E10 can cross react with amyloid precursor protein (APP), we then co-labeled with both 6E10 and AB42. After formic acid or proteinase K treatment (an essential antigen retrieval step, S1 Fig), both antibodies reliably identified thread-like structures running in parallel with spinal axons (Fig 3B); these structures also survived proteolytic digestion with proteinase K at 10μg/ml for 30 minutes at 37°C (S1 Fig). Of note, thread-like structures were also found in the spinal grey matter, part of the ventral root close to the spinal cord, and in the dorsal root entry zone, but not in the dorsal root or its ganglia, peripheral nerve or muscle (S2 Fig). To examine whether these threads contain beta sheets, typical of conventional plaques [18], we used three conformationally-sensitive fluorescent amyloid probes (pFTAA, ThT and K114) [15–17]. In order to preserve any weak binding that may be informative, we either omitted the differentiation step involving lithium carbonate wash (K114) or only briefly rinsed the sections after staining (pFTAA and ThT). All three probes labeled beta amyloid plaques and threads (Fig 3C–3E) and the threads labeled by K114 were confirmed to match AB42 immuno-labeling (Fig 3E 3&4). Importantly, neither plaque-specific fluorescence nor thread-like structures were found in WT animals examined up to 37 weeks of age (Fig 3E5).
K114 spectral signature of beta amyloid plaques
Interestingly, we found that K114 exhibited varying emission spectra even within a single plaque at pH 10.5 (S3 Fig) but not at acidic or neutral pH (data not shown). We therefore imaged a number of plaques and identified the most red-shifted spectrum at pH 10.5, which was used as the most pathological “plaque” reference spectrum, along with “background” spectrum from the K114 stained background in WT mice spinal cord to perform a quantitative spectral analysis (see Methods). We pseudo-coloured the range from violet to red to represent the increasingly red shifted, amyloid-specific spectra (Fig 3F) and analyzed our plaques and threads using this spectral processing scheme. Imaging with 405 nm excitation showed that beta amyloid plaques exhibited significant regional heterogeneity even within a single plaque (Fig 3G). Spectra for beta amyloid threads fell mostly in the middle of the range but heterogeneity was also observed, with the edges showing a more blue-shifted fluorescence (Fig 3H).
Location of beta amyloid threads
To more precisely identify the location of these threads in the white matter tracts, we immuno-labeled sagittal sections with myelin basic protein to visualize the myelin sheath, neurofilament for the axon compartment and AB42 for threads (Fig 4A). Threads were largely confined within the myelin cylinder, and had a slender and undulating configuration. They also appeared as coils or loops within the myelin. We were also able to find threads partly within the axonal compartment and at times appearing to pierce through the myelin sheath (Fig 4A3). Cross sectional staining revealed similar results (Fig 4B). At higher magnification, threads were seen lying adjacent to axon cylinders with minimal overlap (Fig 4C). Taken together, we believe that most of the threads are localized in the peri-axonal space, with some penetrating the myelin sheath, occasionally emerging into the extracellular space.
Beta amyloid threads appear before plaques
Because of the more immature spectral signature of threads compared to plaques (Fig 3), we hypothesized that the former appear first, before deposition of larger plaques. We therefore examined younger 5xFAD mice. As mentioned earlier, plaques were first found in 11 week old mouse cervical cord. In contrast, we found threads as early as 8 weeks in the white matter at this spinal level prior to the appearance of plaques (Fig 5A), supporting the notion that threads indeed precede plaque formation. Moreover, increasing numbers of threads can be found in the spinal cord as plaque numbers increase (Fig 5B).
Interaction with glial cells
Similar to the brain [9], beta amyloid plaques are highly engaged with astrocytes and microglia (Fig 6). We asked whether the threads might also be recognized by these glial cells. Immunostaining showed that astrocytes (Fig 6A) and microglia (Fig 6B1) in the white matter did not seem to preferentially associate with threads, although 6E10 immuno-reactivity was often seen inside microglia. Co-labeling with lysosome marker LAMP1 revealed overlap with 6E10-positive structures, suggesting that some amyloid deposits may be taken up by microglia and deposited in endosomes (Fig 6B2). However we could not determine the source of these amyloid inclusions (threads, plaques, or both).
Threads are found in axonal spheroids in aged 5xFAD mice
APP accumulates in axonal spheroids in injured axons [20]. In our tissue, increasing numbers of axonal spheroids were seen in aged 5xFAD mice (Fig 7A). We noticed that beta amyloid threads were present in approximately half of these axonal swellings in cross-sections. Optical sectioning revealed that threads were mainly located near the surface of spheroids (Fig 7B) and when viewed longitudinally, threads could occasionally be seen forming coils at the tip of the swelling (Fig 7C). Threads were also occasionally observed running in parallel with tyrosine hydroxylase (TH) positive aminergic axons (Fig 7D). Since aminergic fibres are most likely of supraspinal origin, we were certain that it is a descending axon. In one example (Fig 7D), a thread appeared to extend from the tip of a TH-positive axonal spheroid (arrow) and form a coil about 30 μm caudal to the spheroid. It is possible that the TH positive axon retracted and the thread was coiling to form a bigger deposition.
Age-dependent myelin structural change in 5xFAD mice
Besides the interaction of beta amyloid threads with axons, we asked whether they also affect myelin. We used the lipophilic probe Nile Red to label myelin since this dye yielded a more homogeneous staining of the myelin sheath compared to immunohistochemistry. All WT samples (examined up to 37 weeks of age) showed uninterrupted, normal appearing myelin staining profiles with myelin swelling seen only on rare occasions (Fig 8A1). In 5xFAD mice, myelin appeared normal in 19 week old or younger samples (Fig 8A2). By 27 weeks however, abnormalities in myelin were readily observed (Fig 8A3), and included myelin spheroids (Fig 8B1) and individual spheres (Fig 8B2 arrowhead). In 37 week old 5xFAD mice, myelin abnormalities were even more prevalent (Fig 8A4). Quantitative analysis showed progressive and significant increase of myelin abnormalities as animal age (Fig 8C). Although myelin swellings were occasionally found in proximity to beta amyloid threads, this was not a consistent finding, so there was no evidence of a spatial relationship between threads and myelin swellings overall (Fig 8D).
Discussion
Beta amyloid plaques can be found in human spinal cord, most prominently in familial AD cases [2,3]. However, no studies thus far have provided a detailed description of beta amyloid plaque load in the spinal cord. As an integral part of the CNS, the spinal cord possesses the same molecular machinery for forming beta amyloid plaques as demonstrated in various transgenic mouse models over-expressing either APP mutation alone or both APP and PS1 mutations [11,12,21]. In this study, we characterize spinal cord pathology in one of the commonly used transgenic mouse models, the 5xFAD mouse line, which expresses mutated APP and presenilin 1 driven by the neuronal Thy1 promoter [9]. 5xFAD mice show plaque deposition as early as 2 months in the brain with behavourial deficits becoming apparent at around 5 months of age; therefore the rapid and massive accumulation of Alzheimer’s pathology makes this mouse line an attractive and popular model [9]. Our study focused on the cord revealed findings that share some similarities with the brain. First, most of the plaques deposit in the grey matter but some are found in the white matter and especially the corticospinal tract. Of note, deposits in the white matter have also been reported in human AD brain [22]. Second, as in brain, there is a time dependent increase in plaque load in the cord; third, and perhaps most interestingly, beta amyloid plaques are not distributed homogeneously along the length of the spinal cord, with more plaques in cervical cord at all time points examined. Our study also revealed long and thin beta amyloid positive threads running in parallel with the axons in the white matter, and provided evidence that these threads might contribute to axonopathy in the spinal cord.
Beta amyloid plaque deposition first appeared in the two enlargements in spinal cord (cervical and lumbar) with notably more plaques in the former. This was unexpected because spinal levels are repetitive and structurally similar, especially comparing cervical and lumbar levels. The non-uniform distribution of plaques may be due to a number of factors. First, it has been shown that increasing synaptic activity enhances beta amyloid secretion [23], therefore amyloid deposition might be activity-dependent. With more motor neurons located in the two enlargements, particularly in the cervical segments for control of fine movement of the forelimbs and digits, this could account for the earlier and more pronounced plaque deposition in this region. A second possible explanation is suggested by the absence of plaques in Rexed laminae I and II in our and other studies [24], neurons in these two layers relay sensory information to the brain, suggesting that descending supraspinal innervation plays a role in plaque formation. Given the importance of these two enlargements for motor control, it is more likely that they receive more descending inputs and therefore accumulate more plaques; this possibility is in line with Yuan’s study where ablation of the unilateral sensorimotor cortex in TgCRND8 mice overexpressing human APP, resulted in a reduction of amyloid plaques in the contralateral side of the spinal cord [12], indicating that one of the sources of beta amyloid is likely from the cortex itself. Despite the fact that lower motor neurons also express the transgenes, more plaques can be found in the intermediate grey than in the motor neuron clusters suggest motor neurons did not play a major role in local plaque synthesis. Together with the evidence of plaques in the CST, it is likely that the cortical source contributed to (either directly by transport of precursors or indirectly by descending electrical activity) a considerable portion of plaque formation in the spinal cord. Lastly, these two enlargements contain central pattern generators that are able to produce synchronous activity for coordinated rhythmic movement. It has been suggested that the associative connectivity of neurons and the overall pattern of activity, rather than merely the intensity of activity, drives plaque deposition [25]. This may also explain why laminae I and II are essentially plaque free, because the major function of neurons in these two layers is to relay sensory inputs to the brain or deeper parts of the spinal cord, so rhythmic activity is limited in those structures.
Beta amyloid protein is the proteolytic product of APP, which is anterogradely transported to the nerve terminals where amyloid plaques are more likely to be formed to regulate synaptic activity [23,26,27]. Beta amyloid can also form in axonal compartments as demonstrated in an ex vivo model [28]. Indeed the presence of plaques along the corticospinal tract, which consists of descending axons originating at the motor cortex, strongly supports this notion [12]. Using spinal cord sagittal sections, we identified long (>100μm) beta amyloid positive thread-like structures, that are beta sheet rich, and resistant to enzymatic degradation (S1 Fig). They are possibly derived from APP which is aberrantly cleaved into beta amyloid and secreted outside the axon through a recently discovered misfolding-associated protein secretion pathway due to compromised proteosomal degradation machinery [29]. The fact that they are lying juxtaposed to axons inside the myelin sheath suggests that the physical constraint imposed by the still-intact myelin structure may limit the ability of amyloid deposits to form plaques within the white matter. The myelin sheath might also protect the threads from detection and subsequent removal by microglia [2], thereby facilitating their growth over time. It is reasonable to speculate that as a thread grows in size, it may coil and occupy more space, eventually mechanically transecting the axon within the myelin sheath and producing an axonal spheroid at the transected end (Fig 7C & 7D). The colocalization of beta amyloid threads with spheroids may indicate that spheroids contribute to the deposition and/or growth of the threads by providing accumulating APP that acts as a continuous source of beta amyloid. However, given that the threads are present long before any spheroids can be observed, it is more likely that the threads damage the associated axons and induce spheroid formation, which may then contribute to further thread growth. We speculate that once an axon degenerates and demyelinates, it could leave a protease-resistant beta amyloid seed that can eventually grow into a more traditional plaque in white matter tracts (Fig 1A).
The majority of threads were found in white matter tracts while some were found in the grey matter. Only a few threads were found in ventral roots in close proximity to the ventral root exit zone but none were found in peripheral nerve such as the sciatic nerve (S2 Fig). This is unexpected because spinal motor neurons also express the mutated proteins and intracellular beta amyloid was seen in immuno-labeled samples. Similarly, we did not find any threads in the dorsal root but threads were found in the dorsal root entry zone where incoming fibres first encounter CNS-resident astrocytes. It is possible that Schwann cells, the myelinating cells of the peripheral nervous system, remove debris more efficiently than CNS oligodendrocytes [30]. The phagocytic ability of Schwann cells is well documented and given their intimate location vis-à-vis myelin, it is possible that these glia remove the very early, still protease-sensitive amyloid deposits before aggregation proceeds to the more mature axon-damaging and plaque-forming threads as seen in the CNS. This may also explain why no amyloid plaques are found in peripheral nerves, or at the neuromuscular junctions (S2 Fig). We examined 5XFAD brain sections and found threads were also present in the grey and white matter of the brain (S1 and S4 Figs). However, since the axons in the more prominent tracts such as corpus callosum and external capsule are of smaller calibre, thread-like amyloid pathology is more difficult to detect in these regions. Similar descriptions of thread-like structures have been reported previously. For example, using Gallyas silver stain, Braak and Braak described slender threads in pyramidal cells [31] and Ashford et al. found threads that “appeared to have broken out of the dendrite” using an antibody against paired helical filament [32]. Although similar to the thread-like structures reported here, those earlier reports described threads found in the neuropil only. A more related finding from Christensen et al. described beta amyloid structures at close proximity to axonal spheroids in the APP/PS1 knock-in mouse [6], which strongly resembles our findings in aged 5xFAD mice, suggesting that this phenomenon is not restricted to a single Alzheimer’s mouse model. Regardless of constituents, noteworthy is the ability of these thread-like structures to pierce through membranes, such as dendrites or myelin, thus potentially causing damage to these structures, perhaps by purely mechanical means.
In addition to immunohistochemistry, we used three conformationally sensitive amyloid probes to investigate the protein structure of these threads. The reliance of beta sheet structure for these probes to fluoresce was demonstrated by the treatment with formic acid which abolished amyloid plaque and thread staining (S5 Fig). Amongst them, K114 was most informative because of its ability to emit different spectra in each and within plaques. K114 is a Congo red analogue and exhibits an increase in fluorescence intensity when bound to amyloid fibrils at neutral pH [17,33] and spectral shifts in both excitation and emission upon binding to amyloid at high pH (>pH 9.5) [33]. At pH 10.5, K114 tends to form a highly fluorescent phenolate species with fibrils, and for this reason we used an alkaline pH in our experiments. Using K114, we observed heterogeneity between plaques and even within individual plaques, with such spectral shifts likely reflecting different configurations of beta amyloid assembly. In support of this, Condello et al. identified plaque micro-regions labeled by AB42 antibody and protofibrillar beta amyloid binding substance Curcumin while the core of the plaque was more homogenously labeled by anti-amyloid 1–40 antibody [34]. Since these probes can label other amyloid proteins such as misfolded tau, we used two phosopho-tau antibodies, namely AT8 and phospho-tau at Serine 262, but we failed to detect any hyperphosphorylated tau in our 5xFAD samples (S6 Fig). We used the P301L tau mutant as a positive control [35] and confirmed AT8 and phosphor-tau (Ser262, not shown) positive staining in cortical regions. This The lack of tau staining in 5xFAD mouse is consistent with other findings, as rodent AD models generally fail to replicate the prominent tau pathology seen in humans with AD. Taken together, our results indicate that these threads are beta sheet rich and possess a spectral signature that closely resembles those of amyloid plaque, which suggests that these threads may act as the origins of plaques, at least in the white matter of the CNS.
Myelinopathy in AD is becoming more recognized. For example, the myelin staining profile in CA1 hippocampal region and superficial layer II/III of the entorhinal cortex in 3xTg-AD mice is compromised compared to age matched control, indicating a regional disruption of myelin in this mouse model of AD, with ultrastructural studies also revealing granulation of myelin [35]. Similarly, magnetic resonance imaging in humans reveals a reduction in white matter in early and established AD, implying that myelinopathy might also be an important pathophysiological component in clinical AD [36–38]. However, a clear image of morphological change in myelin associated with AD has generally been lacking even in mouse models. To acquire high definition images of myelin sheath, we used the lipophilic dye Nile Red. We observed substantial myelinopathy in the spinal cord white matter in aged 5xFAD mice with very little myelin pathology in age-matched WT littermates. Morphological abnormalities include myelin spheroids and myelin micelle formation and it is evident that these lesions increased over time. It is not known whether the threads directly cause damage to myelin, or whether axonal pathology secondarily causes myelin breakdown.
Motor deficits have been reported but only in older transgenic AD mice including the 5xFAD and TgCRND8 strains [12,13]. This contrasts with amyloid pathology including thread-like deposits in spinal white matter at much younger ages in the 5XFAD mouse. This discrepancy can be readily explained by the very non-linear relationship between number of remaining functional axons in the cord vs sensori-motor disability that emerges only when the majority of spinal axons are injured or lost. Thus, although amyloid pathology is detectable early in the 5XFAD cord, there is sufficient reserve in spinal tracts so that clinical deficits do not manifest until later.
Our study provides a spatio-temporal map of amyloid plaque load in the 5xFAD mouse spinal cord, and suggests an underlying mechanism of amyloid deposition that may lead to plaque formation, particularly in the CNS white matter. The novel beta amyloid-containing thread-like structures identified in this study were intimately associated with spinal axons and may act as an initial source of amyloid burden and secondary axonal damage in CNS white matter. It is worth mentioning that the 5xFAD mouse model is an aggressive transgenic AD model therefore cord pathology as described here may be more prominent compared to less aggressive transgenic lines. On the other hand, human AD progresses over decades allowing ample opportunity for development of analogous pathology. Further studies using human AD tissue will be required to confirm similar pathology in the human. Collectively, we showed axonopathy and myelinopathy in 5xFAD mouse that might impede signal propagation and affect normal function, underscoring the importance of primary white matter pathology in Alzheimer’s and related diseases.
Supporting information
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This study was supported by grants from the Dr. Frank Leblanc Chair for Spinal Cord Research, Canadian Institutes of Health Research (CIHR), Canada Research Chairs (CRC) and the Alberta Prion Research Institute (APRI).
References
- 1.Thal DR, Rüb U, Orantes M, Braak H. Phases of Aβ-deposition in the human brain and its relevance for the development of AD. Neurology. 2002;58: 1791–800. doi: 10.1212/WNL.58.12.1791 [DOI] [PubMed] [Google Scholar]
- 2.Ogomori K, Kitamoto T, Tateishi J, Sato Y, Suetsugu M, Abe M. b-Protein amyloid is widely distributed in the central nervous system of patients with Alzheimer’s disease. Am J Pathol. 1989;134: 243–51. [PMC free article] [PubMed] [Google Scholar]
- 3.Bugiani O, Giaccone G, Frangione B, Ghetti B, Tagliavini F. Alzheimer patients: preamyloid deposits are more widely distributed than senile plaques throughout the central nervous system. Neurosci Lett. 1989;103: 263–268. doi: 10.1016/0304-3940(89)90110-9 [DOI] [PubMed] [Google Scholar]
- 4.Dugger BN, Hidalgo JA, Chiarolanza G, Mariner M, Henry-Watson J, Sue LI, et al. The distribution of phosphorylated Tau in spinal cords of Alzheimer’s disease and non-demented individuals. J Alzheimer’s Dis. 2013;34: 529–536. doi: 10.3233/JAD-121864 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Wang L, Guo Y, Zhu M, Zhang H, Hu Y, Han Z, et al. Detection of hyperphosphorylated tau protein and alpha-synuclein in spinal cord of patients with Alzheimer’s disease. Neuropsychiatr Dis Treat. 2016;12: 445 doi: 10.2147/NDT.S90735 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Christensen DZ, Huettenrauch M, Mitkovski M, Pradier L, Wirths O. Axonal degeneration in an alzheimer mouse model is PS1 gene dose dependent and linked to intraneuronal aβ accumulation. Front Aging Neurosci. 2014;6: 1–11. doi: 10.1042/BST0350416 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Elder GA, Gama Sosa MA, De Gasperi R. Transgenic Mouse Models of Alzheimer’s Disease. Mt Sinai J Med. 20AD;7: 69–81. doi: 10.1002/MSJ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Hall AM, Roberson ED. Mouse models of Alzheimer’s disease. Brain Res Bull. Elsevier Inc.; 2012;88: 3–12. doi: 10.1016/j.brainresbull.2011.11.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Oakley H, Cole SL, Logan S, Maus E, Shao P, Craft J, et al. Intraneuronal β-Amyloid Aggregates, Neurodegeneration, and Neuron Loss in Transgenic Mice with Five Familial Alzheimer’s Disease Mutations: Potential Factors in Amyloid Plaque Formation. J Neurosci. 2006;26: 10129–10140. doi: 10.1523/JNEUROSCI.1202-06.2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Eimer WA, Vassar R. Neuron loss in the 5XFAD mouse model of Alzheimer’s disease correlates with intraneuronal Aβ42 accumulation and Caspase-3 activation. Mol Neurodegener. 2013;8: 2 doi: 10.1186/1750-1326-8-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Wirths O, Weis J, Szczygielski J, Multhaup G, Bayer TA. Axonopathy in an APP/PS1 transgenic mouse model of Alzheimer’s disease. Acta Neuropathol. 2006;111: 312–319. doi: 10.1007/s00401-006-0041-4 [DOI] [PubMed] [Google Scholar]
- 12.Yuan Q, Su H, Zhang Y, Chau WH, Ng CT, Song YQ, et al. Amyloid pathology in spinal cord of the transgenic alzheimer’s disease mice is correlated to the corticospinal tract pathway. J Alzheimer’s Dis. 2013;35: 675–685. doi: 10.3233/JAD-122323 [DOI] [PubMed] [Google Scholar]
- 13.Jawhar S, Trawicka A, Jenneckens C, Bayer TA, Wirths O. Motor deficits, neuron loss, and reduced anxiety coinciding with axonal degeneration and intraneuronal Aβ aggregation in the 5XFAD mouse model of Alzheimer’s disease. Neurobiol Aging. Elsevier Inc.; 2012;33: 196.e29–196.e40. doi: 10.1016/j.neurobiolaging.2010.05.027 [DOI] [PubMed] [Google Scholar]
- 14.Héraud C, Goufak D, Ando K, Leroy K, Suain V, Yilmaz Z, et al. Increased misfolding and truncation of tau in APP/PS1/tau transgenic mice compared to mutant tau mice. Neurobiol Dis. 2014;62: 100–112. doi: 10.1016/j.nbd.2013.09.010 [DOI] [PubMed] [Google Scholar]
- 15.Klingstedt T, Aslund A, Simon RA, Johansson LBG, Mason JJ, Nyström S, et al. Synthesis of a library of oligothiophenes and their utilization as fluorescent ligands for spectral assignment of protein aggregates. Org Biomol Chem. 2011;9: 8356–70. doi: 10.1039/c1ob05637a [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Picken MM, Herrera GA. Thioflavin T Stain: An Easier and More Sensitive Method for Amyloid Detection. Amyloid and Related Disorders: Surgical Pathology and Clinical Correlations. Springer; 2012. pp. 187–189. doi: 10.1007/978-1-60761-389-3 [Google Scholar]
- 17.Crystal AS, Giasson BI, Crowe A, Kung MP, Zhuang ZP, Trojanowski JQ, et al. A comparison of amyloid fibrillogenesis using the novel fluorescent compound K114. J Neurochem. 2003;86: 1359–1368. doi: 10.1046/j.1471-4159.2003.01949.x [DOI] [PubMed] [Google Scholar]
- 18.Lührs T, Ritter C, Adrian M, Riek-Loher D, Bohrmann B, Döbeli H, et al. 3D structure of Alzheimer’s amyloid-beta(1–42) fibrils. Proc Natl Acad Sci U S A. 2005;102: 17342–17347. doi: 10.1073/pnas.0506723102 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Watson C, Harrison M. The Location of the Major Ascending and Descending Spinal Cord Tracts in all Spinal Cord Segments in the Mouse: Actual and Extrapolated. Anat Rec. 2012;295: 1692–1697. doi: 10.1002/ar.22549 [DOI] [PubMed] [Google Scholar]
- 20.Gentleman SM, Nash MJ, Sweeting CJ, Graham DI, Roberts GW. b-amyloid precursor protein (bAPP) as a marker for axonal injury after head injury. Neurosci Lett. 1993;160: 139–144. doi:0304–3940193 [DOI] [PubMed] [Google Scholar]
- 21.Seo J-S, Leem Y-H, Lee K-W, Kim S-W, Lee J-K, Han P-L. Severe motor neuron degeneration in the spinal cord of the Tg2576 mouse model of Alzheimer disease. J Alzheimers Dis. 2010;21: 263–276. doi: 10.3233/JAD-2010-091528 [DOI] [PubMed] [Google Scholar]
- 22.Iwamoto N, Nishiyama E, Ohwada J, Arai H. Distribution of amyloid deposits in the cerebral white matter of the Alzheimer’s disease brain: relationship to blood vessels. Acta Neuropathol. 1997;93: 334–340. doi: 10.1007/s004010050624 [DOI] [PubMed] [Google Scholar]
- 23.Kamenetz F, Tomita T, Hsieh H, Seabrook G, Borchelt D, Iwatsubo T, et al. APP processing and synaptic function. Neuron. 2003;37: 925–937. doi: 10.1016/S0896-6273(03)00124-7 [DOI] [PubMed] [Google Scholar]
- 24.Li JM, Xue ZQ, Deng SH, Luo XG, Patrylo PR, Rose GW, et al. Amyloid plaque pathogenesis in 5XFAD mouse spinal cord: Retrograde transneuronal modulation after peripheral nerve injury. Neurotox Res. 2013;24: 1–14. doi: 10.1007/s12640-012-9355-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ovsepian S V., O’Leary VB. Neuronal Activity and Amyloid Plaque Pathology: An Update. J Alzheimer’s Dis. 2015;49: 13–19. doi: 10.3233/JAD-150544 [DOI] [PubMed] [Google Scholar]
- 26.Koo EH, Sisodia SS, Archer DR, Martin L., Weidemann A, Beyreuther K, et al. Precursor of Amyloid Protein in Alzheimer Disease Undergoes Fast Anterograde Axonal Transport. Proc Natl Acad Sci. 1990;87: 1561–1565. doi: 10.1073/pnas.87.4.1561 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Buxbaum JD, Thinakaran G, Koliatsos V, O’Callahan J, Slunt HH, Price DL, et al. Alzheimer amyloid protein precursor in the rat hippocampus: transport and processing through the perforant path. J Neurosci. 2007;35: 9629–37. doi: 10.1042/BST0350416 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Wei W, Nguyen LN, Kessels HW, Hagiwara H, Sisodia S, Malinow R. Amyloid beta from axons and dendrites reduces local spine number and plasticity. Nat Neurosci. Nature Publishing Group; 2009;13: 190–196. doi: 10.1038/nn.2476 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Lee J-G, Takahama S, Zhang G, Tomarev SI, Ye Y. Unconventional secretion of misfolded proteins promotes adaptation to proteasome dysfunction in mammalian cells. Nat Cell Biol. 2016;18: 765–76. doi: 10.1038/ncb3372 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Vargas ME, Barres BA. Why Is Wallerian Degeneration in the CNS So Slow? Annu Rev Neurosci. 2007;30: 153–179. doi: 10.1146/annurev.neuro.30.051606.094354 [DOI] [PubMed] [Google Scholar]
- 31.Braak H, Braak E. Neuropil threads occurs in dendrites of tangle-bearing nerve cells. Neuropathol Appl Neurobiol. 1988;14: 39–44. doi: 10.1111/j.1365-2990.1988.tb00864.x [DOI] [PubMed] [Google Scholar]
- 32.Ashford JW, Soultanian N, Zhang S, Geddes JW. Neuropil threads are collinear with MAP2 immunostaining in neuronal dendrites of Alzheimer brain. J Neuropathol Exp Neurol. 1998;57: 972–978. doi: https://doi.org/10.1097/00005072-199810000-00009 [DOI] [PubMed] [Google Scholar]
- 33.Selmani V, Robbins KJ, Ivancic VA, Lazo ND. K114 (trans, trans)-bromo-2,5-bis(4-hydroxystyryl)benzene is an efficient detector of cationic amyloid fibrils. Protein Sci. 2015;24: 420–425. doi: 10.1002/pro.2620 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Condello C, Yuan P, Schain A, Grutzendler J. Microglia constitute a barrier that prevents neurotoxic protofibrillar Aβ42 hotspots around plaques. Nat Commun. Nature Publishing Group; 2015;6: 6176 doi: 10.1038/ncomms7176 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Desai MK, Sudol KL, Janelsins MC, Mastrangelo MA, Frazer ME, Bowers WJ. Triple-transgenic Alzheimer’s disease mice exhibit region-specific abnormalities in brain myelination patterns prior to appearance of amyloid and tau pathology. Glia. 2009;57: 54–65. doi: 10.1002/glia.20734 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Dean DC, Hurley SA, Kecskemeti SR, O’Grady JP, Canda C, Davenport-Sis NJ, et al. Association of Amyloid Pathology With Myelin Alteration in Preclinical Alzheimer Disease. JAMA Neurol. 2016;53705: 1–9. doi: 10.1001/jamaneurol.2016.3232 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Fletcher E, Raman M, Huebner P, Liu A, Mungas D, Carmichael O, et al. Loss of fornix white matter volume as a predictor of cognitive impairment in cognitively normal elderly individuals. JAMA Neurol. 2013;70: 1389–95. doi: 10.1001/jamaneurol.2013.3263 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Roher AE, Weiss N, Kokjohn TA, Kuo Y, Kalback W, Anthony J, et al. Increased Aβ Peptides and Reduced Cholesterol and Myelin Proteins Characterize White Matter Degeneration in Alzheimer ‘ s Disease Articles Increased A Peptides and Reduced Cholesterol and Myelin Proteins Characterize White Matter Degeneration in Alzheimer. Biochemistry. 2002;41: 11080–11090. doi: 10.1021/bi026173d [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All relevant data are within the paper and its Supporting Information files.