Abstract
Brain extracellular matrix (ECM) is organized in specific patterns assumed to mirror local features of neuronal activity and synaptic plasticity. Aggrecan‐based perineuronal nets (PNs) and brevican‐based perisynaptic axonal coats (ACs) form major structural phenotypes of ECM contributing to the laminar characteristics of cortical areas. In Alzheimer's disease (AD), the deposition of amyloid proteins and processes related to neurofibrillary degeneration may affect the integrity of the ECM scaffold. In this study we investigate ECM organization in primary sensory, secondary and associative areas of the temporal and occipital lobe. By detecting all major PN components we show that the distribution, structure and molecular properties of PNs remain unchanged in AD. Intact PNs occurred in close proximity to amyloid plaques and were even located within their territory. Counting of PNs revealed no significant alteration in AD. Moreover, neurofibrillary tangles never occurred in neurons associated with PNs. ACs were only lost in the core of amyloid plaques in parallel with the loss of synaptic profiles. In contrast, hyaluronan was enriched in the majority of plaques. We conclude that the loss of brevican is associated with the loss of synapses, whereas PNs and related matrix components resist disintegration and may protect neurons from degeneration.
Keywords: aggrecan, astrocytes, β‐amyloid, brevican, chondroitin sulphate proteoglycan, microglia, neuroprotection, plaque
INTRODUCTION
Extracellular deposition of amyloid and intracellular neurofibrillary changes, formed by tau‐aggregation, are hallmarks of Alzheimer's disease (AD) 24, 49. In the cerebral cortex, amyloid deposits and tau aggregation show area‐specific distribution patterns leaving only a low portion of brain tissue unaffected in most advanced AD stages 9, 11, 15, 18.
It has been shown in animal models that brain matrix components can influence beta‐amyloid fibrillogenesis and may thus contribute to the progression of AD 8, 35. On the other hand, amyloid interacts with a variety of cofactors, including glycosaminoglycans and sulphated proteoglycans 4, 6, 25, 44. However, it has also been shown that the integrity of the pre‐existing extracellular matrix (ECM) scaffold is severely damaged by amyloid deposition resulting in dramatic changes of the physicochemical properties, such as diffusion parameters of the extracellular micromilieu 2, 89. It is conceivable that amyloid formation is exclusively related to a displacement of the normal ECM. However, the molecular disintegration of the ECM may be a pivotal factor involved in the pathological cascade of AD. Mechanisms such as oxidative damage by free radicals 59, 64, 83 and enzymatic cleavage by matrix metalloproteinases (70)[reviewed in (84)] have been suggested.
The functional consequences of ECM displacement, disintegration and/or changed ratio of its components can be assumed to depend on the region‐ and cell‐specific organization of the ECM as demonstrated in various animal models 27, 28, 29, 30. Moreover, basic components such as chondroitin sulphate proteoglycans (CSPGs), hyaluronan and tenascins associated with perineuronal nets (PNs), perisynaptic axonal coats (ACs) and neuropil zones may be differently affected by pathological changes. The AD‐related molecular changes of the ECM have been described controversially. Hyaluronan associated with PNs was retained in Alzheimer cases (99). A widespread loss of PNs in the cerebral cortex was indicated after lectin staining using N‐acetylgalactosamine‐binding Vicia villosa and Wisteria floribunda agglutinin 10, 52, known to be markers of aggrecan‐based CSPG in PNs in many mammalian species 1, 39, 40, 66, 67. However, the region‐specific distribution pattern of PNs appeared to be unaffected if revealed by immunoreaction for core proteins of CSPGs (18). In a previous study, aggrecan‐based PNs have been shown to resist decomposition in subcortical regions severely affected by tau pathology (66). Together these studies lead to the apparent conundrum that loss of certain markers of PNs in AD has been reported 10, 52 but resistance and specific retention of other components was demonstrated 18, 66, 67. To complicate the matter further recent work has shown that the epitope likely detected by Wisteria floribunda agglutinin is found on aggrecan (36). Therefore this study was designed to resolve these apparently conflicting pieces of data and determine in a more precise manner how PNs and PN components are affected in AD.
In the present study, we investigate three neocortical areas that contribute to the processing of sensory information at different functional levels. All areas show a region‐specific organization of the ECM scaffold and AD pathology is known to express distinct laminar patterns sequentially evolving during progression of the disease 9, 11, 15, 57. We compare the primary visual cortex (area striata, Brodmann area 17) and a secondary visual area (area para‐striata, Brodmann area 18) in the occipital lobe with an area of the inferior temporal lobe involved in high‐level visual processing (Brodmann area 20). The study is focussed on the fate of major matrix components such as aggrecan, brevican, link protein, tenascin‐R and hyaluronan. To correlate our data with previously assumed loss of N‐acetylgalactosamine on CSPG side chains we particularly applied the WFA detection technique. We show that hyaluronan is highly enriched in amyloid plaques whereas aggrecan‐based N‐acetylgalactosamine‐containing PNs and brevican‐based ACs largely resist decomposition and are lost only after degeneration of neuronal structures.
MATERIALS AND METHODS
Cases
Brain material for this study was provided by Banner Sun Health Research Institute, Sun City, AZ, USA.
Case recruitment and autopsy were performed in accordance with guidelines effective at Banner Sun Health Research Institute Brain Donation Program of Sun City, AZ (12). The definite diagnosis of AD for all cases used in this study was based on the presence of neurofibrillary tangles and neuritic plaques in the hippocampal formation and neocortical areas and met the criteria of the National Institute on Aging (NIA) and the Consortium to Establish a Registry For AD (CERAD) (62). Staging of AD pathology was performed according to Braak and Braak (14).
For this study 12 AD cases and 12 age‐matched controls were used, six females and six males in each group (Table 1). The 24 brains used in this study were autopsied with a mean post‐mortem delay (PMD) of less than 3 hours thereby reducing potential postmortal changes of ECM components.
Table 1.
Case # | PMD (h) | Gender | Age (years) | Brain weight (g) | COD | Braak score | MMSE (last) | CERAD neuritic plaque score | CERAD criteria | NIA criteria | |
---|---|---|---|---|---|---|---|---|---|---|---|
Control | 1 | 2.75 | F | 85 | 1020 | Pancreatic cancer | II | — | 0 | Not met | Not met |
2 | 1 | F | 85 | 1085 | Abdominal lymphoma | II | — | 0 | Not met | Not met | |
3 | 2.5 | F | 86 | 1145 | Pulmonary fibrosis | III | 27/30 | 0 | Not met | Not met | |
4 | 3 | F | 89 | 1200 | Congestive heart failure | III | 30/30 | A | Not met | Not met | |
5 | 2.75 | F | 75 | 1110 | Pulmonary embolus | III | 29/30 | 0 | Not met | Not met | |
6 | 2.5 | F | 87 | 1120 | Pneumonia/cancer | IV | 30/30 | 0 | Not met | Not met | |
7 | 2.5 | M | 74 | 1230 | Cardiac/respiratory failure | II | — | 0 | Not met | Not met | |
8 | 2.75 | M | 81 | 1290 | Cardiac/respiratory failure | I | — | 0 | Not met | Not met | |
9 | 1.66 | M | 78 | 1460 | Lung cancer/heart failure | I | 28/30 | 0 | Not met | Not met | |
10 | 3 | M | 82 | 1240 | Renal failure/COPD | III | 26/30 | A | Not met | Not met | |
11 | 4.75 | M | 86 | 1400 | Cardiac arrest | I | 28/30 | 0 | Not met | Not met | |
12 | 5.5 | M | 89 | 1275 | COPD/respiratory distress | II | 30/30 | 0 | Not met | Not met | |
Mean | 2.89 | 6/6 | 83.1 | 1214 | |||||||
AD | 13 | 3 | F | 82 | 925 | Cardiac/respiratory failure | VI | — | C | Definite AD | HlD |
14 | 1.5 | F | 85 | 850 | Failure to thrive | VI | — | C | Definite AD | HlD | |
15 | 1.5 | F | 79 | 950 | Cardiac/respiratory failure end stage | VI | — | C | Definite AD | HlD | |
16 | 1.83 | F | 84 | 1080 | End‐stage AD | VI | 00/30 | C | Definite AD | HlD | |
17 | 1.5 | F | 85 | 940 | Breast cancer; end‐stage AD | VI | 02/30 | C | Definite AD | HlD | |
18 | 4 | F | 82 | 932 | Failure to thrive; end‐stage AD | VI | 24/30 | C | Definite AD | HlD | |
19 | 2.33 | M | 77 | 1080 | End‐stage AD | VI | — | C | Definite AD | HlD | |
20 | 1.75 | M | 81 | 1150 | Pneumonia | VI | — | C | Definite AD | HlD | |
21 | 3.16 | M | 80 | 1000 | End‐stage AD | VI | 01/30 | C | Definite AD | HlD | |
22 | 3.5 | M | 77 | 1200 | End‐stage AD | VI | 04/30 | C | Definite AD | HlD | |
23 | 2.5 | M | 87 | 1100 | End‐stage AD | VI | 13/30 | C | Definite AD | HlD | |
24 | 2.25 | M | 78 | 1120 | End‐stage AD | VI | 07/30 | C | Definite AD | HlD | |
Mean | 2.40 | 6/6 | 81.4 | 1027 |
Identification of anatomical regions and applied nomenclature
Anatomical regions were identified on Nissl‐stained and anti‐neuronal nuclear protein (NeuN) marked sections adopting the nomenclature of brain regions from brain atlases of human (58) and rhesus monkey (76).
Cytochemistry
Forty‐micrometer sections were treated with 2% H2O2 in 60% methanol for 60 minutes to abolish endogenous peroxidase activity followed by rinsing with phosphate‐buffered saline Tween (PBS‐T) (0.05% Tween). A subsequent blocking step with 2% bovine serum albumin, 0.3% casein and 0.5% donkey serum in PBS‐T was carried out for 30 minutes at room temperature to prevent non‐specific antibody binding. Sections were incubated over one or two nights with primary antibodies. Immunoreactivity was vizualized with biotinylated secondary antibodies (donkey anti‐mouse, donkey anti‐rabbit, donkey anti‐goat, donkey anti‐guinea pig; Dianova, Hamburg, Germany) and ExtrAvidin® peroxidase complex (Sigma, Munich, Germany) finished by diaminobenzidine (brown) or nickel‐enhanced diaminobenzidine (black) as chromogen. For double and triple fluorescent labellings immunoreactivity was vizualized with carbocyanine 2, 3 or 5 coupled secondary antibodies (Dianova).
Detection of ECM components
Antibodies against aggrecan core protein [Agg; 20, 66, 67, 93], brevican core protein, BEHAB/brevican 50 kD cleavage product [Brev; 36, 60], proteoglycan link protein 1 [HAPLN1; CRTL‐1; 21, 22, 36, 73] and tenascin‐R were used to detect ECM components in the human brain tissue (for detailed descriptions of antibodies see Table 2).
Table 2.
Detected components | Antibodies and binding proteins | Dilution | Source | Lot number | References |
---|---|---|---|---|---|
Matrix constituents | |||||
N‐acetylgalactosamine | Biotinylated Wisteria floribunda agglutinin | 5 µg/mL | Sigma | # 26F‐8100 | Härtig et al (1992) (39) |
N‐acetylgalactosamine | Biotinylated Vicia villosa agglutinin | 5 µg/mL | Vector Labs | # M0327 | Seeger et al (1996) (88) |
Aggrecan, core protein | Mouse anti‐human aggrecan (HAG7D4) | 1:10 | Acris/Serotec | # 140510 | Brückner et al (2008) (20) |
Brevican (50 kD fragment) | Rabbit anti‐human brevican (B50) | 1:2000 | R.T. Matthews | # b50 | Matthews et al (2000) (60) |
Brevican core protein precursor | Rabbit anti‐human brevican | 1:200 | Sigma/Atlas | # R01205 | — |
Link protein | Goat anti‐human CRTL‐1 (HAPLN1) | 1:400 | R&D Systems | # VBN 0107081 | Carulli et al (2007) (21) |
Hyaluronan | Biotinylated hyaluronic acid‐binding protein | 10 µg/mL | Cape Cod | # D 00100295 | Carulli et al (2007) (21) |
Tenascin‐R | Mouse anti‐bovine tenascin‐R (619) | 1:50 | R&D Systems | # IZG02 | Brückner et al (2003) (19) |
Cellular markers | |||||
Neuron‐specific nuclear protein | Mouse anti‐NeuN MAB 377 clone A60 | 1:100 | Millipore | # 0507004415 | Poirier et al (2010) (79) |
Parvalbumin | Rabbit anti‐rat PV28 | 1:1000 | Swant | # 5.5 | Celio and Heizmann (1981) (23) |
Synaptic markers | |||||
Synaptophysin | Mouse anti‐synaptophysin clone SY38 | 1:100 | Dako | # 00027760 | Diepholder et al (1991) (26) |
Synaptobrevin | Mouse anti‐synaptobrevin 2 (VAMP 2) | 1:250 | Synaptic Systems | # 104211/14 | Washbourne et al (1995) (94) |
Glia markers | |||||
Ionized calcium binding adaptor1 | Rabbit anti‐Iba1 | 1:500 | Wako | # CDQ5232 | Kanazawa et al (2002) (51) |
Glial fibrillary acidic protein (GFAP) | Rabbit anti‐GFAP | 1:1000 | Dako | # Z033401096302 | Morawski et al (2010) (69) |
Glial glutamate transporter‐1 | Guinea pig anti‐GLT‐1 | 1:1000 | Millipore | # 848009 | Lauderback et al (2001) (55) |
Pathology markers | |||||
Phosphorylated tau | Rabbit anti‐human tau pT205 | 1:500 | Invitrogen | # 5193173 | Alonso et al (2001) (5) |
Phosphorylated tau | Mouse anti‐human tau AT8 | 1:500 | Thermo Scientific | # JG112461 | Goedert et al (1994) (38); Goedert (1996) (37) |
Pyroglutamate‐modified Abeta | Mouse anti‐pE‐Aβ | 1:200 | Synaptic Systems | # 218011/4 | Schilling et al (2008) (87) |
Pyroglutamate‐modified Abeta | Rabbit anti‐pE‐Aβ | 1:200 | Synaptic Systems | # 218003/4 | Schilling et al (2008) (87) |
Abeta | Biotinylated 4G8 | 1:2000 | Covance (SIGNET) | # 2LC01595 | Frautschy et al (1998) (33) |
Additionally, biotinylated lectins, Wisteria floribunda lectin [WFA; 16, 21, 39, 69] and Vicia villosa lectin [VVA; 52, 71, 88], which are known to detect N‐acetylgalactosamine in matrix constituents of PNs were used. To test the specificity of the WFA binding, free‐floating sections were pretreated with the blocking sugar melbiose at 200 mM for 1 h. Pretreated sections showed no specific staining. Further, a digestion with chondroitinase ABC (Chase) from Proteus vulgaris (0.5 U/mL, Sigma‐Aldrich, C2905) erased all specific binding of the lectin (data not shown) as previously demonstrated 17, 54.
Furthermore, the biotinylated hyaluronan‐binding protein (B‐HABP) was used to detect hyaluronan 17, 21, 69. To test the specificity of the B‐HABP binding, free‐floating sections were pretreated with hyaluronidase (Hyase) from Streptomyces hyalurolyticus (50 U/mL 0.1 M PBS, pH 5.0; Sigma, H1136) (54) for 4 h, 8 h and 12 h at 37°C. Binding of B‐HABP was at the background level after enzymatic treatment of sections (for detailed description of lectins and binding protein see Table 2).
Detection of neuronal populations
To detect neurons and specific neuronal subpopulations the anti‐NeuN antibody and the anti‐parvalbumin (Parv; PV28) antibody were used [23, 39, 40; for detailed description of neuronal markers see Table 2].
Detection of synapses
Investigations on potential alterations of synapses were made using antibodies to synaptophysin (96) and synaptobrevin (VAMP2; (94); for detailed description of synaptic markers see Table 2).
Detection of glia cells and macrophages
To investigate glia cells and macrophages potentially present in the human brain we used antibodies to Iba1 (microglia), glial fibrillary acidic protein (GFAP) (astrocytes) and GLT‐1 [glial glutamate transporter (EAAT2); astrocytes, especially fine processes usually not detected by GFAP antibodies; (55)]. Pre‐absorption of the antiserum with the immunogen peptide (Millipore, Billerica, MA, USA; AG391) completely abolishes the immunostaining (for detailed description of glial markers see Table 2).
Detection of tau and amyloid pathology
Cytoskeletal pathology related to hyperphosphorylation and aggregation of the tau protein sections was detected by a variety of well‐characterized antibodies; for this purpose we used anti‐tau phosphospecific antibody [pT205; (5)] and anti‐PHF‐tau antibody [clone AT8; 37, 38, 80]. For the detection of amyloid deposits (plaques) anti‐pyroglu Abeta IgG antibodies 43, 68 and 4G8 antibody were used. The 4G8 antibody is reactive to amino acid residues 17–25 of beta amyloid and reacts as well with APP isoforms (for detailed description of pathology markers see Table 2).
Controls
In control experiments, primary antibodies were omitted, yielding the unstained sections.
Microscopy
Light microscopy, confocal laser scanning microscopy and image processing
Tissue sections were examined with a Zeiss Axiovert 200 M microscope equipped with a motorised stage (Märzhäuser, Wetzlar, Germany) with MosaiX software and by means of a CCD camera (Zeiss MRC) connected to an Axiovision 4.6 image analysis system (Zeiss, Germany) for light microscopy. Fluorescence labelling was examined with a Zeiss confocal laser scanning microscope (LSM 510, Zeiss, Jena, Germany). For secondary Cy2‐labelled slices (green fluorescence), an argon laser with 488 nm excitation was used and emission from Cy2 was recorded at 510 nm applying a low‐range band pass (505–550 nm). For secondary Cy3‐labelled slices (red fluorescence), a helium‐neon laser with 543 nm excitation was applied and emission from Cy3 at 570 nm was detected applying high‐range band pass (560–615 nm). For secondary Cy5‐labelled slices (infrared fluorescence) a helium‐neon laser with 633 nm excitation was applied and emission from Cy5 at 650 nm was detected applying long pass (650 nm) filter. Photoshop CS2 (Adobe Systems, Mountain View, CA, USA) was used to process the images with minimal alterations to the brightness, sharpness, color saturation and contrast. For sake of uniform presentation some fluorescence images were adapted to pseudocolors.
Stereological analysis
For stereological analysis, the optical fractionator method 61, 95 was used to estimate numerical densities of PN‐ensheathed neurons (Bio‐WFA) and NeuN‐stained neurons in selected areas of neocortex. PNs that surrounded non‐pyramidal cells and PNs around pyramidal neurons were counted (Table 3). In order to perform stereological analyses in a restricted domain of neocortex it is first necessary to establish the anatomical boundaries of the considered region with as much precision as possible to ensure accuracy and reliability of the stereologic sampling and validity of the estimates. In present investigation the number of PNs and neurons was counted in discrete neocortical areas of occipital cortex (area 17 and 18) of five control brains and five cases with a neuropathologically confirmed diagnosis of AD and temporal cortex (area 20) of five control brains and five cases with AD. Counts were performed on a Zeiss Axioskop 2 plus microscope equipped with a motorized stage, a Ludl MAC 5000 (LEP, Hawthorne, NY, USA) and a digital camera 9000 (MicroBrightField, Williston, VT, USA). Stereo Investigator software 6 (MicroBrightField) was used to analyze frontal sections (nominal thickness of 40 µm) of selected areas. Each section was first viewed at low magnification (5×) for outlining the relevant parts of cortical areas, and disector frames were placed in a systematic‐consecutive fashion in the delineated regions of the sections. Neurons that fell within these disector frames (150 × 150 µm) were then counted at high magnification (20×). On average the post‐processing shrinkage of the tissues resulted in a final section thickness of 16 ± 2 µm, which permitted a consistent sampling of 10 µm with the disector and the use of guard zones of 2 µm on either sides of the section. Three sections per case and area investigated were used. The number of PNs and NeuN‐stained neurons were converted to numerical density per mm2. In all cases, the experimenter was blinded to the experimental conditions.
Table 3.
Area | PNs (mm2) ± SD | |
---|---|---|
Controls | n = 5 | |
17 | 65 ± 3 | |
18 | 66 ± 7 | |
20 | 17 ± 7 | |
AD | n = 5 | |
17 | 68 ± 5 | |
18 | 67 ± 8 | |
20 | 19 ± 3 |
No significant difference could be detected in the number of WFA‐positive PNs.
A17 P = 0.2; A18 P = 0.8; A20 P = 0.4.
Statistical analysis
All counted sections were analyzed using an unpaired t‐test for each group (AD and non‐demented control), comparing AD‐affected brains with the respective region of non‐demented control brains.
RESULTS
The investigated visual cortical areas A 17, A 18 and A 20 show an area‐specific matrix organization. This confirms and extends existing studies focused on the primary and secondary visual cortex 47, 88. All components detected in the present study, N‐acetylgalactosamine, aggrecan, brevican, link protein, tenascin‐R and hyaluronan, contribute to the area‐specific matrix pattern. The two major structural features of matrix phenotypes, PNs and synapse‐associated ACs, could be detected. In the visual cortical areas studied PNs contain all matrix components, whereas ACs could only be detected by brevican and link protein 1‐immunoreaction. The most conspicuous pattern of PN staining originates from the established markers WFA detecting N‐acetylgalactosamine and aggrecan core‐protein antibody, whereas brevican‐immunoreaction revealed a unique selectivity of AC staining.
Area‐specific laminar distribution patterns of PNs and perisynaptic ACs of ECM in the control brain
We used two neuronal markers (NeuN and Parv) to demonstrate the basic laminar profile (1, 2, 3).
Area 17
WFA labels many PNs in layer III, IVa and V. Additionally, low numbers of PNs can be seen in layer VI whereas layer I, II and IVc are virtually devoid of WFA‐stained PNs. Compared with WFA staining, aggrecan immunoreaction reveals higher numbers of PNs, indicating variations in aggrecan glycosylation. This becomes clear especially in layer IVb containing many Agg‐positive nets but devoid of WFA‐stained PNs. In contrast to aggrecan stained PNs, brevican antibody B50 clearly reveals staining mainly restricted to layers IVa, IVc and VI. It is a remarkable finding that brevican antibody B50 does not show the typical PN‐like appearance but reveals dot‐like structures known to be perisynaptic ACs.
Area 18
WFA labels many PNs in layer III and V. Low numbers of PNs can be seen in layer VI whereas layer I, II and IV are spared from WFA‐stained PNs. The heterogeneity in aggrecan glycosylation again is indicated by Agg‐positive PNs in layer II and VI devoid of WFA‐stained PNs. Brevican positive ACs are mainly restricted to layers IIIb, IV, lower V.
Area 20
The number of PNs in area 20 is considerably low compared with areas 17 and 18. WFA reveals a small number of PNs in layer III and IV. PNs are only sporadically present in layer V and VI whereas layers I and II are virtually devoid of WFA‐stained nets. Compared with WFA staining, aggrecan‐immunoreaction reveals only slightly more PNs.
Brevican positive ACs are virtually absent in all layers.
In Table 4 semi‐quantitative densities of PNs and ACs are given summarizing the results of the area‐specific laminar distribution patterns of ECM in the control and AD‐affected brains (Table 4).
Table 4.
Area | PNs | ACs | |
---|---|---|---|
WFA | Agg | Brev | |
Area 17 | |||
Layer I | − | − | − |
Layer II | − | + | − |
Layer III | +++ | +++ | − |
Layer IVa | +++ | +++ | ++ |
Layer IVb | − | +++ | + |
Layer IVc | − | + | +++ |
Layer V | +++ | +++ | + |
Layer VI | + | ++ | ++ |
Area 18 | |||
Layer I | − | − | − |
Layer II | − | + | + |
Layer IIIa | ++ | ++ | ++ |
Layer IIIb | +++ | +++ | +++ |
Layer IIIc | +++ | +++ | ++ |
Layer IV | + | ++ | +++ |
Layer V | +++ | +++ | +++ |
Layer VI | + | ++ | ++ |
Area 20 | |||
Layer I | − | − | − |
Layer II | − | − | − |
Layer III | + | + | − |
Layer IV | ++ | ++ | − |
Layer V | + | + | − |
Layer VI | + | + | − |
ECM and tau‐pathology
PNs
The brain material used in our study originated from patients at advanced stage of AD (Table 1) showing extensive amyloid and tau pathology even in the visual cortex. The matrix laminar pattern described for control brains is not changed in brains severely affected by AD. Laminar pattern of tau pathology and WFA stained PNs tend to be inverse.
As shown for control brain in area 17, WFA indicates PNs in layers III, IVa and V. Tau pathology to some extent overlaps with these PN‐rich layers. In Area 18, WFA staining shows PNs in layers III and V. Tau pathology in contrast seems to be less severe in PN‐rich layer III. In Area 20, WFA staining reveals an identifiable proportion of PNs in layers III and IV. PNs even persist in layers with severe tau pathology. Quantification revealed no significant change in the number of WFA‐stained PNs (Table 3).
Interneurons as well as pyramidal cells ensheathed by a PN are devoid of cytoskeletal changes such as tau‐immunoreactive tangles (Figure 4).
Perisynaptic ACs
The clear laminar distribution of brevican‐immunoreactive ACs (1, 2, 3), different from laminar pattern of aggrecan‐stained PNs, is not changed in brains severely affected by AD. However, AC laminar distribution to some extent displays an inverse pattern to tau pathology. An example is given in Figure 5 displaying the lower layer V as an AC‐rich zone largely spared from tau pathology in area 18.
Unchanged and reduced matrix components related to amyloid pathology
The well‐known neuronal, astrocytic and microglial alterations related to extracellular amyloid deposition may result in dramatic changes in ECM organization (Supporting Information Fig. S1). Despite the noticeable laminar deposition of amyloid plaques, no obvious relation in the distribution of plaques and PNs is detectable (5, 6, 7).
PNs
PNs detected by N‐acetylgalactosamine (WFA and VVA), aggrecan, link protein and tenascin‐R can be seen even in the close vicinity of amyloid depositions (Figure 8). Sometimes neuronal dendritic domains associated with PNs even penetrate the coronal zone of amyloid plaques. We could not detect PNs in the core of amyloid plaques.
Perisynaptic ACs
Perisynaptic ACs immunoreactive for brevican are clearly stained without evident alterations in the surrounding plaque territory (Figure 8F–F″″). Additionally, some ACs are even detectable within the plaque corona, whereas the plaque core is devoid of brevican immunoreactivity (Figure 8F′″ insert).
Enriched hyaluronan related to amyloid pathology
Regarding all ECM components investigated in this study hyaluronan is the only constituent obviously enriched in amyloid plaque territories. Hyaluronan persists in the surrounding plaque territories in concentrations corresponding to the neuropil of control brains (Figure 9A–A′″). However, the marginal and coronal zones of plaques reveal a clearly higher concentration of hyaluronan indicated by intensive HABP staining. The stained hyaluronan and amyloid depositions only partly overlap but show a largely interdigitated appearance. The central core region is typically spared from hyaluronan staining. Treatment of sections with Hyase resulted in absence of hyaluronan (Figure 9B–B′).
Effects of prolonged PMD on WFA and aggrecan reactivity
To assess the potential effects of prolonged PMD, as often taking place in human brain samples, on WFA and aggrecan reactivity we performed experiments potentially mimicking those conditions. We used four adult C57/Bl6 mice applying the following post‐mortem experimental procedure: The first mouse was sacrificed and perfused immediately with standard fixation protocol (0 h PMD), the second mouse was sacrificed and exposed to 37°C for 3 h (3 h PMD) and immersion fixed, the third mouse was exposed to 4°C for 24 h (24 h PMD cold conditions) and immersion fixed. Finally, the fourth mouse was exposed to 37°C for 24 h (24 h PMD warm conditions) and immersion fixed. The incidental effects on the ECM were investigated using biotinylated WFA lectin as well as aggrecan antibody on somatosensory cortex (Supporting Information Figure S1). An obvious decline in WFA reactivity can be detected with increasing PMD, whereas aggrecan reactivity seems largely be unaffected even under prolonged PMD (warm condition) (Supporting Information Figure S2).
DISCUSSION
Technical considerations
Previously, a loss of PNs in AD was reported by two groups, based on observations using detection of N‐acetylgalactosamine by lectins WFA (10) and VVA (52). In our previous studies, we also failed to obtain a staining with WFA and VVA in the vast majority of our standard clinical autopsy cases irrespectively whether AD or control brains 18, 66. However, the immunohistochemical detection of the CSPG core protein revealed the presence of PNs and ACs. This may suggest that the N‐acetylgalactosamine‐containing chondroitin side chains of CSPGs are highly sensitive to decomposition. Such sensitivity of WFA‐binding sites was already demonstrated after experimental stroke in the rat cerebral cortex (45). In the present study using well‐preserved brain tissue treated according to the “Sun Health Research Institute Brain Donation Program”(12) the lectin‐binding (WFA and VVA) capacity was retained in all control and AD cases. It appears that the loss of lectin binding sites is caused by post‐mortem changes. This has been documented and discussed for an appreciable number of proteins such as Parv 7, 32, 48, 56[reviewed in (12)]. Post‐mortem reductions occur within the first 4–8 h (12). In addition, initial tissue processing, fixation and long‐time storage of tissue blocks and sections may be considered as factors affecting the preservation of matrix constituents. Also, one has to consider that there might be a substantial loss of cells and tissue volume because of pre‐mortem changes in AD. This loss could potentially lead to bias in PN per neuron or area when a significant number of PN‐ensheathed neurons would be lost or a significant reduction of tissue volume might take place during progression of AD. However, as the mean densities of PNs were slightly increasing in the AD cases this points even more to a lack of alterations of PNs in AD. Systematic studies on the importance of these different factors on ECM integrity in the human brain have not been performed. The fact that brains of laboratory animals, immediately perfusion‐fixed after death, consistently show well‐preserved ECM scaffold additionally points to the importance of these technical conditions (Supporting Information Figure S2). The experiments performed to assess effects of prolonged PMD on WFA and aggrecan reactivity clearly showed a substantial effect on the N‐acetylgalactosamine (WFA) reactivity under prolonged PMD conditions, whereas aggrecan reactivity virtually seems to be unaffected (Supporting Information Figure S2). This strongly supports our hypothesis that the loss of lectin (WFA) N‐acetylgalactosamine binding sites is a consequence of post‐mortem changes taking place in the first few hours after death.
Area‐specific laminar distribution patterns of PNs and perisynaptic ACs of ECM
A major result of the present study is that the laminar patterns of the various ECM components were not altered in the investigated AD brain regions. The area‐specific characteristics in the primary, secondary and associative visual cortex were completely retained. Despite advanced stages of amyloid and tau pathology, PNs and ACs, two widely distributed structural phenotypes of condensed ECM were virtually unchanged. This is in agreement with our previous work in human APP transgenic Tg2576 mice showing advanced cortical amyloid plaque pathology (69) and with biochemical data (50).
ECM and tau pathology
Our study confirms and extends the results of previous investigations showing the absence of neurofibrillary tangles in neurons ensheathed by aggrecan‐based PNs in cortical and subcortical regions 18, 42, 66. Additionally, neurites associated with brevican‐based ACs were not correlated with tau pathology.
ECM and amyloid pathology
The defined zonal organization of dense core amyloid plaques related to alterations of neuronal and glial structures may be correlated with changes in the composition of ECM scaffold. The plaque core as a territory of complete loss of cellular structures is also characterized by a loss of all investigated matrix constituents. In the more peripheral plaque zones such as corona and marginal zone no alteration of N‐acetylgalactosamine, aggrecan, brevican, link protein and tenascin‐R could be detected. These zones are characterized by fibrillar amyloid deposits, damage and loss of neurons and synapses, as well as the occurrence of numerous dystrophic neurites in the close proximity to reactive microglia and astrocytic processes 3, 31, 92, 97. It is conceivable that glial cells capable of proteolytic degrading amyloid β‐protein 81, 98, 100 release proteases that cleave ECM proteoglycans around intact neurons, thereby initiating neuronal damage. Metalloproteinases, and especially enzymes with aggrecan and brevican‐cleaving substrate specificity, such as ADAMTS4 and 5 70, 72, 85, 91 and MMP‐2 and MMP‐9 13, 100 may substantially affect PNs and ACs.
It remains to be elucidated if the persistence of all the investigated ECM proteins is accomplished by TIMPs or other MMP‐inhibiting factors, or if it is caused by a compensatory upregulation of matrix proteins.
Hyaluronan, typically complexed with proteoglycans and link protein, was also found to be unchanged in cortical PNs as previously shown in basal forebrain regions (99). However, in contrast to persisting levels of ECM proteins and hyaluronan in PNs, hyaluronan is enriched in the coronal and marginal zones of the amyloid plaques. This is in concordance with biochemical investigations showing an increase of hyaluronan up to 26% in the temporal lobe of AD patients (50). The focal elevation of hyaluronan concentration may be related to reactive astrocytes in the surrounding tissue, as the hyaluronan receptor CD44 is located at radially oriented astrocytic processes massively penetrating these plaque territories (3).
Functional implications
The preservation of PNs and ACs in AD brains suggest that the functions attributed to these structures are largely retained. In addition to potential functions related to regulation of the ionic micromilieu 16, 41, 65 and synaptic plasticity 27, 28, 29, 30, 46, 78, 82 ECM components are likely involved in neuroprotective actions 18, 64, 65, 66, 69. Reduced vulnerability of PN‐ensheathed neurons against iron‐induced oxidative processes occurred in human cerebral cortex 64, 65. Protection of neurons by PNs against amyloid toxicity (63), damage by excitatory amino acids (74) and oxygen or glucose deprivation (59) was shown in in vitro models.
The upregulation of hyaluronan in territories of amyloid plaques may also have functional consequences. As hyaluronan is critically involved in the regulation of synaptic plasticity 34, 53 changes of hyaluronan levels may distinctly affect the synaptic refinement within plaque territories that may counteract the loss of synapses characterising AD 77, 86, 90.
Additionally, growth and mobility of glial structures may also be influenced (75).
CONCLUSION
The unchanged appearance of the ECM proteins associated with PNs and ACs in AD suggests maintenance of their physiological functions. These functions may include a protective role preventing neuronal death.
The enrichment of hyaluronan in amyloid plaques may substantially influence the reorganization of neuronal structures and the penetration of glial cell processes into the inner plaque territories.
Supporting information
ACKNOWLEDGMENTS
We are grateful to the Banner Sun Health Research Institute Brain Donation Program of Sun City, Arizona, for the provision of human brain tissue. The Brain Donation Program is supported by the NIA (P30 AG19610 Arizona AD Core Center), the Arizona Department of Health Services (contract 211002, Arizona Alzheimer's Research Center), the Arizona Biomedical Research Commission (contracts 4001, 0011, 05–901 and 1001 to the Arizona Parkinson's Disease Consortium) and the Michael J. Fox Foundation for Parkinson's Research.
This work was supported by the German Research Foundation GRK 1097 “INTERNEURO,” the EU‐Project “Neuropro” (Grant Agreement no. 223077), COST Action BM1001 “Brain Extracellular Matrix in Health and Disease”, the Alzheimer Forschungsinitiative e.V. (AFI #11861) to M. Morawski and the MD/PhD program at the Universität Leipzig to M. Morawski. Further, we would like to thank Dr. Max Holzer for the helpful discussion.
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