1. Introduction
Alzheimer’s Disease (AD) is a debilitating neurodegenerative disease that is characterized by the accumulation of extracellular amyloid-β peptides (Aβ) within the cerebral parenchyma and vasculature, the latter specifically termed cerebral amyloid angiopathy (CAA) [
1,
2,
3,
4]. This accumulation leads to the formation of Aβ plaques, which stem from misfolded Aβ peptides aggregating over time. These accumulated Aβ peptides disrupt cellular communication, trigger inflammatory responses, and ultimately lead to neuronal cell death, contributing to cognitive decline [
1,
2,
3,
4,
5]. Significant efforts have been devoted to understanding the mechanisms underlying Aβ accumulation and exploring potential treatments for AD [
1,
2,
3,
4,
5]. One more recent promising therapeutic avenue is anti-Aβ antibody immunotherapy, which aims to target and clear Aβ plaques from the brain. Antibodies like lecanemab, donanemab, aducanumab, and gantenerumab have either received FDA approval for AD treatment or are undergoing clinical trials [
4,
5,
6,
7,
8,
9,
10]. Evidence suggests these therapies can slow AD progression and improve cognitive function by enhancing Aβ clearance from the brain tissue [
4,
6,
7,
8,
9,
10]. However, it’s important to note that these treatments also have various potential side effects, including some that may be life-threatening [
11]. Among the most common side effects are cerebrovascular problems, particularly amyloid imaging abnormalities-related edema and hemorrhages, which can increase the risk of strokes [
12,
13,
14]. Interestingly, anti-amyloid treatments have been associated with exacerbating CAA in some patients, suggesting a possible link between worsened CAA and the development of cerebrovascular complications in the context of anti-Aβ therapy [
5]. The precise mechanisms underlying CAA development in AD and its interaction with anti-Aβ treatments remain unclear, emphasizing the need for further research in this area.
Heparan sulfate (HS) is a linear polysaccharide with various sulfation modifications, forming covalent bonds with protein cores to generate heparan sulfate proteoglycans (HSPGs) [
15,
16]. These HSPGs, distinguished by their protein cores, are found on cell surfaces and in the extracellular matrix, engaging with various protein ligands. These interactions, mediated mainly by their HS chains, play a crucial role in regulating numerous biological processes, including organ development, angiogenesis, tumorigenesis, leukocyte trafficking, and lipid metabolism [
17,
18,
19,
20,
21,
22,
23].
In AD patients and mouse models, HS co-deposits with Aβ in plaques within the brain tissue and blood vessels [
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34]. Biochemical analyses and in vitro cell studies demonstrate that HS directly binds to Aβ, accelerating its aggregation [
35,
36,
37,
38,
39,
40]. Furthermore, HS facilitates the internalization of Aβ into cells, leading to subsequent cytotoxic effects [
41,
42,
43,
44,
45]. In AD mouse models, reducing neuronal HS expression or increasing the activity of heparinase (HPSE), an enzyme that breaks down HS into smaller fragments, decreases brain Aβ levels [
46,
47,
48]. These observations highlight the functional role of HS in promoting the accumulation of Aβ in the brain [
46,
47,
48]. Interestingly, the depletion of neuronal HS or the heightened expression of HPSE not only reduces Aβ plaques within brain tissue but paradoxically exacerbates Aβ deposition in cerebral blood vessels, worsening CAA. These observations mirror the effects of anti-Aβ treatments, suggesting a potential involvement of vascular HS in the development of CAA in AD and during anti-Aβ therapy.
In this study, we investigated the expression of HS within the prefrontal cortex cerebrovasculature and its potential correlation with CAA and AD risk factors in AD patients (
Table 1). Immunofluorescence staining confirmed increased Aβ deposition in the brain tissue and blood vessels of AD patients with severe CAA. Our serial analyses revealed heightened levels of cerebral vascular HS in AD, particularly in those with severe CAA, indicating its potential involvement in the disease’s pathology. We also observed an increased co-deposition of cerebrovascular HS with Aβ in AD patients, suggesting an interaction between these molecules in the disease process. Additionally, AD patients with severe CAA displayed a reversal in the polarized expression of HS in the cerebrovasculature, without a corresponding polarization of vascular Aβ deposition, hindering a potential spatial regulatory role of HS in the disease. Further examination of AD-related risk factors unveiled that male AD patients exhibited lower levels of parenchymal and cerebral vascular HS compared to female AD patients, revealing potential sex-specific differences in HS regulation in AD pathogenesis. Furthermore, Apolipoprotein E4 (ApoE4), a well-established genetic risk factor for AD, correlated with elevated cerebrovascular Aβ expression and a tendency of higher vascular HS expression in AD, suggesting potential interplay between these factors in disease progression. In summary, our investigation examining post-mortem patient specimens documented abnormal HS expression in the cerebrovasculature of AD patients and suggested multiple potential roles of cerebrovascular HS in the pathogenesis of AD.
3. Discussion
In AD, Aβ aggregates form neuritic plaques within the brain parenchyma, serving as a disease hallmark. Additionally, Aβ deposition also frequently occurs in the cerebrovasculature, leading to the development of CAA. The development of Aβ deposition in both the parenchyma and cerebrovasculature appears to be driven by impaired clearance mechanisms, influenced by factors such as the rate and sources of Aβ generation, its circulation within the interstitial fluid, and the efficiency of perivascular drainage pathways. The initial buildup of Aβ sets the stage for a self-perpetuating cycle, fostering further deposition of parenchymal Aβ plaques and worsening the progression of CAA in AD. In clinical trials of anti-Aβ immunotherapy, approximately 30% of treated patients develop amyloid-related imaging abnormalities caused by microhemorrhages or edema, which cause similar inflammatory responses and leptomeningeal involvement with CAA [
12,
13,
14]. In fact, it is suggested that patients’ high vascular amyloid load may induce amyloid-related imaging abnormalities. A large proportion of AD patients, especially ApoE4 carriers, have some level of CAA in post-mortem examinations [
5,
56,
57]. This phenomenon is thought to result from an overload of perivascular clearance pathways and the consequences of removing Aβ from Aβ-deposited vessels [
12,
13,
14]. Considerable efforts have been dedicated to unraveling the molecular mechanisms driving Aβ deposition in AD, revealing the development of vascular and parenchymal Aβ deposition may be governed by distinct regulatory pathways. This is supported by variations in the isoforms of deposited Aβ [
58,
59,
60,
61] and specific co-deposited proteins [
5] in these two pathological manifestations.
In AD, HS co-deposits with Aβ in the parenchyma and the cerebrovasculature. In this study, we investigated the expression of HS within the cerebrovasculature and its potential correlation with CAA and AD risk factors in AD patients using immunofluorescence and detailed analyses. Our investigation revealed elevated cerebrovascular HS levels and increased cerebrovascular HS co-deposition with Aβ in AD patients with severe CAA. Particularly noteworthy was the reversal in the polarized expression of HS in the cerebrovasculature among AD patients with severe CAA, contrasting with the absence of a corresponding polarization of vascular Aβ deposition, suggesting that the abnormal cerebral HS expression might be a sequential event following Aβ deposition. Furthermore, male AD patients exhibited reduced levels of parenchymal and cerebral vascular HS compared to females. Additionally, the presence of ApoE4 correlated with heightened cerebral vascular Aβ expression and a tendency toward increased vascular HS expression in AD. In summary, our findings underscore aberrant HS expression in the cerebrovasculature of AD patients and suggest diverse potential roles of vascular HS in AD pathogenesis, including direct interactions with Aβ and under the influence of AD risk factors, including patient gender and ApoE4 status.
Our research found heightened levels of cerebrovascular HS in AD, aligning with previous findings [
24,
25,
40,
62]. For instance, Shimizu et al. noted a 9.3- and 6.6-fold increase in total glycosaminoglycan levels in the hippocampus and the superior frontal gyrus, respectively, in AD brains compared to non-demented controls [
24]. In AD brains, HS is more densely concentrated in the thickened basement membrane adjacent to endothelial cells of capillary vessels and in the core of amyloid plaques [
24,
40]. These observations suggest the substantial increase in HS in AD brains primarily originates from the capillary basement membrane and senile plaques [
24]. In our study, we focused on larger vessels. Our data indicate that the elevation of HS levels in large vessels may also significantly contribute to the marked increase in total HS levels observed in AD patients.
In addition to changes in expression levels, the structure of HS is also altered in AD, as evidenced by modifications in growth factor binding capacities (46) and through direct chemical analysis of disaccharide and tetrasaccharide compositions [
62]. The studies by Wang et al. revealed a significant increase in multiple sulfated disaccharides and a tetrasaccharide containing rare 3S in the human AD frontal cortex [
62,
63]. Examining whether the structure of cerebral vascular HS is similarly altered in AD would be intriguing. Such analysis could provide a structural framework for better understanding the potential roles of cerebral vascular HS in the development of CAA and AD pathogenesis.
HS exhibits direct binding to Aβ, a process known to accelerate Aβ aggregation and facilitate Aβ internalization, thereby impacting Aβ metabolism and pathogenesis [
35,
36,
37]. Our study observed increased co-deposition of HS and Aβ in the cerebrovasculature of AD patients, suggesting that heightened interaction may exacerbate pathogenic processes, leading to detrimental effects on cerebral vascular structure and function, ultimately contributing to AD progression. Moreover, it is established that the most prevalent Aβ isoforms, Aβ40 and Aβ42, preferentially deposit in cerebrovasculature and parenchyma, respectively, though the underlying mechanisms remain elusive [
58,
59,
60,
61]. Interestingly, HS exhibits a higher affinity for binding to Aβ40 than to Aβ42 [
64,
65], and HS has been shown to induce Aβ40, but not Aβ42, to form maltese-cross spherical congophilic plaques identical to those observed in the AD brain [
66]. This suggests that the difference in HS-binding affinity may serve as a driving factor for the distinct deposition patterns of Aβ40 and Aβ42 in the AD brain, a phenomenon potentially exacerbated by elevated levels of cerebral vascular HS in AD.
Pathways for clearing soluble Aβ from the brain encompass transport across the blood-brain barrier (BBB), phagocytosis, enzymatic degradation, and perivascular drainage [
67]. Animal models and studies examining AD specimens suggest that BBB transcytosis and perivascular drainage are vital mechanisms for Aβ elimination from the brain [
68,
69,
70]. Currently, the roles of cerebrovascular HS in these processes are unknown. Elevated levels of HS may potentially exacerbate Aβ deposition, leading to structural damage to blood vessels and subsequent impairment of vascular function. This could include increased vascular permeability, allowing toxins to access the brain parenchyma and disrupt pathways crucial for BBB- and perivascular drainage-mediated Aβ clearance, thereby promoting AD pathogenesis. Furthermore, our studies revealed a reversal in the polarization of HS expression within the vascular wall. This abnormal polarization might interfere with physiological Aβ clearance pathways, contributing to the deposition of vascular Aβ. Further research aimed at elucidating these potential mechanisms may significantly enhance our understanding of the role of HS in AD.
Sex-based disparities in HS expression under both physiological and pathological conditions have been documented. A study comparing the structural and functional properties of HS chains from male and female adult mouse livers revealed significant differences in chain length and sulfation modifications, with male HS possessing longer chains and female HS exhibiting higher N-sulfation modifications [
71]. These structurally distinct forms of male and female liver HS exert differential effects on human mesenchymal cell proliferation and subsequent osteogenic differentiation [
71]. In a recent study of a type 2 diabetes rat model, lower HS intensity was reported in male animals, potentially contributing to glucose intolerance and decreased islet insulin secretion in the disease [
72,
73]. Currently, it remains unknown whether HS levels and structure differ between male and female individuals under normal physiological conditions and in AD patients. In our studies, we observed a tendency for lower HS expression in the cerebrovasculature and parenchyma of male controls compared to females, and this difference became significantly pronounced among AD patients. Additionally, it is noteworthy that women have a higher susceptibility to developing AD, whereas men are more prone to vascular dementia [
74]. The disparity in HS expression between males and females could be one of the potential molecular mechanisms underlying the sex-based differences observed in AD and vascular dementia.
ApoE is a secreted protein crucial for regulating lipid transport within the brain. Genome-wide association studies have identified ApoE4 as a major genetic risk factor for AD, whereas ApoE2 is associated with a lower risk than the more common ApoE3 variant [
51,
75,
76,
77,
78,
79]. A growing body of evidence suggests that ApoE4 increases the risk of AD by inhibiting Aβ clearance, promoting Aβ aggregation, and suppressing Aβ cellular uptake and metabolism, although the precise molecular mechanisms remain unclear [
80,
81,
82,
83,
84,
85]. Our study found that ApoE4 correlated with heightened cerebrovascular Aβ deposition and a tendency towards increased vascular HS levels in AD. This observation agrees with early reports that ApoE4 may modulate vascular Aβ deposition [
53] and also suggests that ApoE increases vascular HS expression to confer its pathogenic roles in AD.
In our research, we could only analyze a relatively small number of AD specimens and exclusively prefrontal cortex tissues; this limitation has restricted our ability to make certain definitive conclusions, particularly those indicating a strong tendency. It is imperative to conduct additional studies with larger sample sizes, encompassing various AD-related brain regions, and employing both in vitro and in vivo models to deepen our comprehension of the involvement of cerebrovascular HS in AD and CAA.
4. Materials and Methods
Human Brain Tissues
Paraformaldehyde-fixed, cryopreserved postmortem brain tissues from the prefrontal cortex were obtained from the Emory University Goizueta Alzheimer’s Disease Research Center. All tissues were collected following the ADRC Neuropathology Core protocol approved by the Emory University Institutional Review Board. The samples, detailed in
Table 1, consisted of 10 brains from normal controls, 7 from AD patients without CAA, 13 from AD patients with mild CAA, and 12 from AD patients with severe CAA. Each sample was treated as an independent data point (n). Neuropathological diagnoses were made according to established diagnostic criteria. Control participants were individuals with no documented history of neurological disorders and no apparent neurodegenerative pathology upon postmortem examination. Comprehensive patient information included details on AD and CAA diagnoses, gender, ApoE genotype, Braak stage, onset and age at death, disease duration, postmortem interval, and associated conditions such as neuritic and diffuse plaques, TAR DNA-binding protein-43 inclusions, cerebral hemorrhage, infarcts, neurofibrillary tangles, and Lewy body dementia.
Immunofluorescence Staining
The paraformaldehyde-fixed, cryopreserved human brain tissues were frozen sectioned into 8 µm slices, and mounted onto charged glass slides. These sections underwent immunofluorescent staining using two distinct sets of triple-staining protocols. One set labeled CD31+ endothelial cells (EC) or αSMA+ vascular smooth muscle cells (SMC), combined with pan anti-Aβ antibody and anti-HS antibody. For the EC triple-staining, an initial antigen retrieval step was performed using 10mM sodium citrate buffer at 95°C for one hour, while for SMC triple-staining, antigen retrieval was omitted. A consistent staining procedure was applied to all tissue samples, including a one-hour blocking stage, using a mixture of 4% normal goat serum, 1% bovine serum albumin, and 0.05% Triton in PBS. Subsequently, tissues were incubated overnight with primary antibodies: anti-CD31 (mouse IgG, WM59 clone, concentration 1:75, BioLegend, catalog# 303102) or anti-αSMA (goat IgG, dilution 1:200, Novus Biologicals, catalog# NB300-978), in conjunction with pan anti-Aβ antibody D54D2 (rabbit IgG, dilution 1:200, Cell Signaling, catalog# 8243), and anti-HS antibody 10E4 (mouse IgM, dilution 1:300, Amsbio, catalog# 370255-1). For the secondary staining phase, Invitrogen Alexa Fluor-conjugated antibodies were used at a dilution of 1:700. Specific secondary antibodies included anti-mouse IgG 488 (catalog# A11029), anti-goat IgG 488 (catalog# A11055), anti-rabbit IgG 594 (catalog# A11012), and anti-mouse IgM 647 (catalog# A21042).
Imaging and Image Analyses
The immunostained tissue images were captured using a Leica SP8 confocal laser scanning microscope, with image acquisition performed using the Leica Application Suite X software. For each sample, a total of eight images per sample were acquired for analyses of immunofluorescence intensity and colocalization. All samples were visually inspected under the microscope, and representative images were obtained. These images were obtained at a resolution of 1024 x 1024 using a 63x objective lens with 3x optical zoom. For the analyses of HS compartmentalization, four stacks were gathered from each of ten samples. These stacks were acquired at a resolution of 1024 x 1024 with a 63x objective and 2x optical zoom, resulting in 2.38 µm stacks composed of eight sequentially acquired images. Following image acquisition, the acquired images underwent analysis using Image J/Fiji (NIH) software, and figures were constructed using GraphPad Prism 9 and Adobe Photoshop 2022 software. Due to imaging parameters set in order to not oversaturate anti-Aβ intensity in severe CAA cases, more miniscule differences in anti-Aβ intensity were not detected in samples with lower AB burden. Regions of interest (ROIs) were defined for EC+ or SMC+ areas by applying thresholds on the vascular markers. Areas containing CD31+ white blood cells within blood vessels were excluded from the identified vascular ROIs. In analyzing the parenchyma surrounding the vessels, the portions occupied by the vessels were subtracted from the remaining parts of the images. The Fiji Coloc2 plugin was utilized to estimate colocalization. RGB profile plots were generated using Fiji/ImageJ, and internal and external areas were determined based on the intensity of the vascular markers in cross-sectional vascular images using Microsoft Excel, from which the HS intensities in compartments were deduced.
Statistical Analyses
In the immunofluorescence intensity and colocalization analyses, each sample is represented by the average of eight images, depicted as a single data point on the graphs. The average of four images for HS compartmentalization analyses is illustrated as a single point on the graphs. As the tissue samples were obtained from clinical patients, statistical outliers were retained in the analyses. Given the non-normal distribution nature of the data, all analyses were performed using nonparametric two-tailed tests. The Wilcoxon two-sample test was employed when comparing two groups, and the results are presented as Z values along with corresponding p values. For scenarios involving three or more groups, the Kruskal-Wallis H test was used, and the results include the degrees of freedom, Chi-Square values, and p values. In colocalization analyses, the reported results encompass Spearman’s correlation rank and Manders’ coefficients M1 and M2 values.
Author Contributions
Conceptualization, LW and IOM; methodology, I.O.M., and M.G..; software, I.O.M.; validation, I.O.M., L.W., and M.G.; formal analysis, I.O.M.; investigation, I.O.M.; resources, M.G.; data curation, I.O.M. and L.W.; writing—original draft preparation, I.O.M.; writing—review and editing, L.W., M.G. and I.O.M.; visualization, I.O.M..; supervision, L.W. and M.G..; project administration, L.W.; funding acquisition, L.W. All authors have read and agreed to the published version of the manuscript.
Figure 1.
Cerebrovascular Aβ accumulation in AD without or with CAA. Representative immunofluorescence images staining of prefrontal cortex tissue sections of AD patients with none, mild, or severe CAA or control patients for cerebral vascular ECs (CD31+), vascular SMCs (αSMA+), total Aβ (anti-Aβ antibody D54D2) and HS (anti-HS antibody 10E4) (A). Aβ staining fluorescence surrounding cerebrovasculature (parenchyma) and in EC and SMC compartments were quantified. The mean levels of Aβ fluorescence are elevated in AD subjects in the prefrontal cortex parenchyma and vasculature, encompassing both ECs and SMCs (B and C, respectively). The co-localization of Aβ fluorescence and vascular marker staining was assessed by Spearman’s correlation rank analysis and is notably increased in AD patients (D). When stratified by CAA severity in AD groups, augmented Aβ fluorescence within the vascular wall and its colocalization with CD31 or αSMA staining was not observed in patients with no or mild CAA; however, such changes are evident only in severe CAA cases, including EC- and SMC-compartments (E and F, respectively). The data are presented as mean ± SD. The p values for pairwise comparisons are provided. For significance results, * = P ≤ 0.05, ** = P ≤ 0.01, *** = P ≤ 0.001, **** = P ≤ 0.0001. Scale bars = 25 µm.
Figure 1.
Cerebrovascular Aβ accumulation in AD without or with CAA. Representative immunofluorescence images staining of prefrontal cortex tissue sections of AD patients with none, mild, or severe CAA or control patients for cerebral vascular ECs (CD31+), vascular SMCs (αSMA+), total Aβ (anti-Aβ antibody D54D2) and HS (anti-HS antibody 10E4) (A). Aβ staining fluorescence surrounding cerebrovasculature (parenchyma) and in EC and SMC compartments were quantified. The mean levels of Aβ fluorescence are elevated in AD subjects in the prefrontal cortex parenchyma and vasculature, encompassing both ECs and SMCs (B and C, respectively). The co-localization of Aβ fluorescence and vascular marker staining was assessed by Spearman’s correlation rank analysis and is notably increased in AD patients (D). When stratified by CAA severity in AD groups, augmented Aβ fluorescence within the vascular wall and its colocalization with CD31 or αSMA staining was not observed in patients with no or mild CAA; however, such changes are evident only in severe CAA cases, including EC- and SMC-compartments (E and F, respectively). The data are presented as mean ± SD. The p values for pairwise comparisons are provided. For significance results, * = P ≤ 0.05, ** = P ≤ 0.01, *** = P ≤ 0.001, **** = P ≤ 0.0001. Scale bars = 25 µm.
Figure 2.
Cerebrovascular HS in AD. The HS densities surrounding cerebrovasculature and in the vascular EC and SMC compartments are not significantly different between AD and control patients but have a strong tendency of increased HS density in the SMC compartment (A and B, respectively). In the CAA-AD subgroup analysis, vascular HS density in the EC compartment was increased in the severe CAA group, and there was a tendency for increased HS density in the SMC compartment (C). In co-localization analysis, HS showed significant increases in staining overlapping with CD31 and αSMA (D). In the CAA-AD subgroup analysis, the increased HS-CD31 and HS- αSMA staining overlap was seen only in AD patients with severe CAA (E). The data are presented as mean ± SD. For significance results, * = P ≤ 0.05; ns, not significant.
Figure 2.
Cerebrovascular HS in AD. The HS densities surrounding cerebrovasculature and in the vascular EC and SMC compartments are not significantly different between AD and control patients but have a strong tendency of increased HS density in the SMC compartment (A and B, respectively). In the CAA-AD subgroup analysis, vascular HS density in the EC compartment was increased in the severe CAA group, and there was a tendency for increased HS density in the SMC compartment (C). In co-localization analysis, HS showed significant increases in staining overlapping with CD31 and αSMA (D). In the CAA-AD subgroup analysis, the increased HS-CD31 and HS- αSMA staining overlap was seen only in AD patients with severe CAA (E). The data are presented as mean ± SD. For significance results, * = P ≤ 0.05; ns, not significant.
Figure 3.
HS co-localization with Aβ is increased in cerebrovasculature in AD. HS and Aβ co-localization in the EC and SMC compartments between AD and control (A) and CAA-stratified AD subgroups (B). Mander`s coefficient analysis to compare the overlap coefficients of the above background staining of HS and Aβ between AD and control (C) and between CAA-stratified AD subgroups (D). The p values for pairwise comparisons are provided. The data are presented as mean ± SD. For significance results, * = P ≤ 0.05, ** = P ≤ 0.01, *** = P ≤ 0.001.
Figure 3.
HS co-localization with Aβ is increased in cerebrovasculature in AD. HS and Aβ co-localization in the EC and SMC compartments between AD and control (A) and CAA-stratified AD subgroups (B). Mander`s coefficient analysis to compare the overlap coefficients of the above background staining of HS and Aβ between AD and control (C) and between CAA-stratified AD subgroups (D). The p values for pairwise comparisons are provided. The data are presented as mean ± SD. For significance results, * = P ≤ 0.05, ** = P ≤ 0.01, *** = P ≤ 0.001.
Figure 4.
HS expression and Aβ deposition in different compartments within the cerebrovascular wall in AD. Representative images of cerebrovasculature with no/low and high CAA are stained for CD31, αSMA, HS, and Aβ (A). The immunofluorescence histogram analysis of HS staining in EC- to non-EC compartments (B-D) and the rations of the HS and Aβ staining in the internal (Int)- to the external (Ext) SMC compartments (E-G). The immunofluorescence histogram analysis of Aβ staining in EC- to non-EC compartments (H) and the internal - to the external SMC compartments (I). The data are presented as mean ± SD. For significance results, * = P ≤ 0.05; ns, not significant.
Figure 4.
HS expression and Aβ deposition in different compartments within the cerebrovascular wall in AD. Representative images of cerebrovasculature with no/low and high CAA are stained for CD31, αSMA, HS, and Aβ (A). The immunofluorescence histogram analysis of HS staining in EC- to non-EC compartments (B-D) and the rations of the HS and Aβ staining in the internal (Int)- to the external (Ext) SMC compartments (E-G). The immunofluorescence histogram analysis of Aβ staining in EC- to non-EC compartments (H) and the internal - to the external SMC compartments (I). The data are presented as mean ± SD. For significance results, * = P ≤ 0.05; ns, not significant.
Figure 5.
Cerebrovascular HS expression in male vs female patients. Representative male and female brain tissue images stained for CD31, αSMA, and HS (A, B). Quantitation of HS fluorescence in the compartments surrounding ECs (C) and SMCs (D), as well as in the compartments of ECs (E) and SMCs (F). The p values for pairwise comparisons are provided. For significance results, * = P ≤ 0.05, ** = P ≤ 0.01.
Figure 5.
Cerebrovascular HS expression in male vs female patients. Representative male and female brain tissue images stained for CD31, αSMA, and HS (A, B). Quantitation of HS fluorescence in the compartments surrounding ECs (C) and SMCs (D), as well as in the compartments of ECs (E) and SMCs (F). The p values for pairwise comparisons are provided. For significance results, * = P ≤ 0.05, ** = P ≤ 0.01.
Figure 6.
Cerebrovascular HS expression in AD patients with different ApoE genotypes. Representative brain tissue images depicting various ApoE genotypes, stained for CD31, αSMA, Aβ, and HS (A). Quantitation of Aβ- and HS fluorescence in the compartments surrounding ECs (B, F) and SMCs (C, G), as well as in the compartments of ECs (D, H) and SMCs (E, I), respectively. The p values for pairwise comparisons are provided. For significance results, * = P ≤ 0.05.
Figure 6.
Cerebrovascular HS expression in AD patients with different ApoE genotypes. Representative brain tissue images depicting various ApoE genotypes, stained for CD31, αSMA, Aβ, and HS (A). Quantitation of Aβ- and HS fluorescence in the compartments surrounding ECs (B, F) and SMCs (C, G), as well as in the compartments of ECs (D, H) and SMCs (E, I), respectively. The p values for pairwise comparisons are provided. For significance results, * = P ≤ 0.05.
Table 1.
Summary of the patients studied.
Table 1.
Summary of the patients studied.
Patient diagnosis |
Total number |
Gender (M/F) |
Age at Death (Ave ± SEM) |
None AD |
10 |
4/6 |
71.00 ± 5.62 |
AD, no CAA |
7 |
3/4 |
76.43 ± 3.24 |
AD, mild CAA |
12 |
7/5 |
76.46 ± 3.43 |
AD, severe CAA |
12 |
7/5 |
77.75 ± 2.17 |