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Anti-amyloid-β immunization leads to amyloid clearance in patients with Alzheimer’s disease, but the effect of vaccination on amyloid-β-induced neuronal pathology has not been quantitatively examined. The objectives of this study were to address the effects of anti-amyloid-β active immunization on neurite trajectories and the pathological hallmarks of Alzheimer’s disease in the human hippocampus. Hippocampal sections from five patients with Alzheimer’s disease enrolled in the AN1792 Phase 2a trial were compared with those from 13 non-immunized Braak-stage and age-matched patients with Alzheimer’s disease, and eight age-matched non-demented controls. Analyses included neurite curvature ratio as a quantitative measure of neuritic abnormalities, amyloid and tau loads, and a quantitative characterization of plaque-associated neuritic dystrophy and astrocytosis. Amyloid load and density of dense-core plaques were decreased in the immunized group compared to non-immunized patients (P < 0.01 and P < 0.001, respectively). The curvature ratio in non-immunized patients with Alzheimer’s disease was elevated compared to non-demented controls (P < 0.0001). In immunized patients, however, the curvature ratio was normalized when compared to non-immunized patients (P < 0.0001), and not different from non-demented controls. In the non-immunized patients, neurites close to dense-core plaques (within 50 µm) were more abnormal than those far from plaques (i.e. beyond 50 µm) (P < 0.0001). By contrast, in the immunized group neurites close to and far from the remaining dense-core plaques did not differ, and both were straighter compared to the non-immunized patients (P < 0.0001). Compared to non-immunized patients, dense-core plaques remaining after immunization had similar degree of astrocytosis (P = 0.6060), more embedded dystrophic neurites (P < 0.0001) and were more likely to have mitochondrial accumulation (P < 0.001). In addition, there was a significant decrease in the density of paired helical filament-1-positive neurons in the immunized group as compared to the non-immunized (P < 0.05), but not in the density of Alz50 or thioflavin-S positive tangles, suggesting a modest effect of anti-amyloid-β immunization on tangle pathology. Clearance of amyloid plaques upon immunization with AN1792 effectively improves a morphological measure of neurite abnormality in the hippocampus. This improvement is not just attributable to the decrease in plaque load, but also occurs within the halo of the remaining dense-core plaques. However, these remaining plaques still retain some of their toxic potential. Anti-amyloid-β immunization might also ameliorate the hippocampal tau pathology through a decrease in tau phosphorylation. These data agree with preclinical animal studies and further demonstrate that human anti-amyloid-β immunization does not merely clear amyloid from the Alzheimer’s disease brain, but reduces some of the neuronal alterations that characterize Alzheimer’s disease.
The major pathological hallmarks of Alzheimer’s disease are neuronal loss, amyloid senile plaques and neurofibrillary tangles within the cerebral cortex (Braak and Braak, 1991). Senile plaques are extracellular deposits of amyloid-β (Aβ) peptide, a byproduct of the metabolism of the amyloid precursor protein after its sequential cleavage by the β- and γ-secretases. Neurofibrillary tangles are intraneuronal somatic aggregates comprised of the microtubule-stabilizing protein tau, which is abnormally hyperphosphorylated. Other pathological findings include synaptic loss in cortical areas, as well as astrogliosis and microgliosis surrounding senile plaques; cerebral amyloid angiopathy (i.e. Aβ deposits in the wall of cortical and leptomeningeal vessels) is a common concomitant pathological process. Clinicopathological studies have shown that neurofibrillary tangles, synaptic loss and neuronal loss correlate with dementia progression and severity better than amyloid deposits (DeKosky and Scheff, 1990; Terry et al., 1991; Gómez-Isla et al., 1996, 1997). However, substantial biochemical and genetic evidence points to Aβ as an essential trigger for the disease (Hardy and Selkoe, 2002). Aβ might directly trigger a cascade of pathogenic events that lead to synaptic and dendritic abnormalities, neurofibrillary tangles and neuronal death, but the course down these pathways to disease may remain dependent on Aβ or might become independent of Aβ once initiated. The latter proposal raises the possibility that therapies directed at reduction in brain levels of Aβ might not be capable of preventing the progression of dementia.
Immunotherapy against Aβ, either through active immunization with Aβ aggregates or by passive transfer of anti-Aβ antibodies, has proven to be effective in the prevention of Aβ deposition and the clearance of already existing Aβ plaques in a number of transgenic mouse models of Alzheimer’s disease (Schenk et al., 1999; Bard et al., 2000; Bacskai et al./xref>., 2001, 2002; DeMattos et al., 2001; Lemere et al., 2003; Wilcock et al., 2004). Moreover, both active and passive immunization approaches prevented, improved or even reversed the memory deficits described in those mouse models (Janus et al., 2000; Morgan et al., 2000; Dodart et al., 2002; Kotilinek et al., 2002). Also, an amelioration of tau pathology has been reported after anti-Aβ immunization in several mouse models with both amyloid plaques and neuronal tau aggregates (Oddo et al., 2004, 2008; Wilcock et al., 2009).
The first immunotherapy clinical trial in patients with Alzheimer’s disease was an active immunization trial with a pre-aggregated preparation of synthetic human Aβ42 (AN1792). The phase 2a of this trial was halted due to the occurrence of subacute meningoencephalitis among some patients in the treatment group, so that patients only received one to three injections out of the four doses initially planned (Orgogozo et al., 2003). Despite the interruption of the trial, a modest but significant positive effect of immunization on some cognitive and functional outcome measures has been documented (Hock et al., 2003; Gilman et al., 2005). Recently, two long-term follow-up studies have yielded conflicting results, with no difference in the rates of survival to death and progression to severe dementia in subjects from an earlier phase 1 trial (Holmes et al., 2008) and a reduced rate of functional decline in a subset of subjects from the phase 2a trial (Vellas et al., 2009).
To date, the effects of AN1792 immunization on Alzheimer’s disease neuropathology have been reported in five single case reports (Nicoll et al., 2003; Ferrer et al., 2004; Masliah et al., 2005; Bombois et al., 2007; Uro-Coste et al., 2010) and one case series (Boche et al., 2008; Holmes et al., 2008). These neuropathological findings can be summarized as (i) significant reduction in amyloid load, with relative abundance of the collapsed or ‘moth-eaten’ morphology among the remaining plaques; (ii) increased extension and severity of cerebral amyloid angiopathy and increased frequency of cerebral amyloid angiopathy-related microhaemorrhages; (iii) decreased density of dystrophic neurite clusters; (iv) reduced density of reactive astrocytes clusters; (v) decreased density of activated microglia clusters, with some examples of microglial cells engulfing amyloid-β fibrils; and (vi) advanced neurofibrillary pathology (i.e. Braak stages V–VI). Interestingly, the amount of remaining amyloid load seems to correlate inversely with the anti-Aβ antibody titres in serum (Holmes et al., 2008).
While there is evidence of the beneficial effects of active and passive anti-amyloid immunization on neurite morphology and synapses in Alzheimer’s disease mouse models (Lombardo et al., 2003; Buttini et al., 2005; Brendza et al., 2005; Spires-Jones et al., 2009), little is known about the effects of AN1792 on neurites and neurons in the human Alzheimer’s disease brain. Although there was a description of the appearance of collapsed ‘moth-eaten’ plaques, the characteristics of the amyloid plaques remaining after immunization have not been well described. Additionally, the relationship between Aβ clearance and neurofibrillary tangles, tau phosphorylation and aggregation status has not been fully documented in AN1792-treated patients.
The present study was aimed at (i) addressing the effect of AN1792 on Aβ-related neurite abnormalities; (ii) characterizing the properties of amyloid plaques remaining after immunization; and (iii) characterizing the phosphorylation and aggregation status of neuronal tau after AN1792 immunization.
Formalin-fixed paraffin-embedded sections from the hippocampus of five patients who participated in the phase 2a active immunization trial with AN1792 (Elan-Wyeth Pharmaceuticals, Inc.) were compared with the hippocampal sections from non-demented controls (n = 8) and patients with Alzheimer’s disease (n = 13) from the Massachusetts Alzheimer Disease Research Center Brain Bank. All the study subjects or their next-of-kin gave written informed consent for the brain donation at their respective institutions and the Massachusetts General Hospital Institutional Review Board approved the study protocol. Four of the immunized patients with Alzheimer’s disease have been previously described as single reports (Ferrer et al., 2004; Masliah et al., 2005; Bombois et al., 2007; Uro-Coste et al., 2010). The three groups were matched by age and gender. Immunized patients and non-immunized Alzheimer’s disease subjects were also matched by Braak stage (Table 1 and Supplementary Table 1).
Eight-micrometre-thick sections were deparaffinized for immunohistochemistry by standard methods. Primary and secondary antibodies, pretreatments for antigen retrieval and developing strategies are listed in Supplementary Table 3. To minimize variability, all sections were stained in single batches. Negative controls lacking primary antibody were performed in parallel for all experiments. Immunohistochemical staining was performed with 3,3′-diaminobenzidine (Vector Lab, Burlingame, CA), counterstained with haematoxylin, dehydrated with increasing concentrations of ethanol, cleared with xylene and coverslipped with Permount® mounting media (Fisher Scientific, Fair Lawn, NJ). When fluorescently labelled secondary antibodies were used, sections were counterstained with Thioflavin S (Sigma, St. Louis, MO) 0.05% in 50% ethanol for 8 min and coverslipped with Vectashield® mounting media with 4′,6-diamidino-2-phenylindole (DAPI; Vector Lab., Burlingame, CA).
Amyloid load was measured as the percent of total surface stained for Aβ by 10D5 antibody (Elan Pharmaceuticals, Inc.) in sections counterstained with haematoxylin and periodic acid–Schiff base method (for vascular basement membranes). Sections were imaged on an upright Leica DMRB microscope equipped with a motorized stage and a CCD camera (model DC330, DAGE-MTI, Inc. Michigan City, IN), and coupled with the BIOQUANT NOVA PRIME software (version 6.90.10, MBSR, Nashville, TN). Amyloid load was measured in three anatomical regions: the molecular layer of the dentate gyrus, CA1 and subiculum-presubiculum. Plaque and vascular amyloid loads were determined separately in order to detect a potential shift of the amyloid from plaques to blood vessel walls. The size distribution of the amyloid plaques was also measured.
Stereological studies were performed using an Olympus BX51 upright microscope (Olympus, Tokyo, Japan) equipped with a motorized stage and an Olympus DP70 camera, and coupled with the CAST software (version 184.108.40.206). Densities of amyloid plaques and neurofibrillary tangles were quantified with the optical dissector technique as described previously (Hyman et al., 1998) in sections stained with thioflavin-S and immunostained either with 3D6 anti-Aβ antibody (Elan Pharmaceuticals, Inc) or with the anti-tau antibodies paired helical filament (PHF)-1 or Alz50 (both kind gifts from Dr Peter Davies). Coefficient errors were calculated in preliminary studies to obtain appropriate sampling fractions. The regions of the hippocampus (granular layer of the dentate gyrus, molecular layer of the dentate gyrus, CA1 and subiculum-presubiculum) were outlined under the 4× objective and randomly sampled under the 20× objective, typically with a 10% sampling fraction. PHF1, Alz50 and thioflavin-S positive neurons were counted in the granular layer of the dentate gyrus, CA1 and subiculum-presubiculum with a counting frame of 5% (7130 µm2). Amyloid plaques (3D6-immunoreactive and thioflavin-S positive) were counted in the molecular layer of the dentate gyrus, CA1 and subiculum-presubiculum with a counting frame of 10% (14 261 µm2). Dense-core plaques immunoreactive for the mitochondrial marker voltage-dependent anion-selective channel protein 1 (VDAC1) (porin, Abcam, ab15895) were counted in these same regions with a 20% sampling fraction and a counting frame of 10% (14 261 µm2).
Neurites were identified by immunohistochemistry directed against neurofilament heavy chain (Abcam, ab40796) and sections were counterstained with thioflavin-S and DAPI prior to imaging in the manner described above for stereologic measurements. The hippocampal regions were outlined with the CAST software under the 4× objective of the microscope, and randomly sampled under the 20× objective, with the following sampling fractions: 25% in the molecular layer of the dentate gyrus, 15% in the CA1 and 15% in the subiculum-presubiculum. Pictures were coded and stored in a blinded manner prior to analysis with ImageJ (http://rsbweb.nih.gov/ij/download.html). Neurite segments identified by the presence of neurofilament heavy chain were numbered, and their lengths measured by an observer blinded to the condition of the subject or the presence of dense-core plaques in the field under study. Curvature ratio of each neurite segment was calculated as the ratio of measured length to the end-to-end length of the same neurite; thus, increased neurite curvature results in a higher curvature ratio (Knowles et al., 1999). Only segments with a measured length longer than 20 µm were included in the analyses. The number of 20 × hippocampal fields analysed was not significantly different across groups [214 fields in 8 non-demented controls (mean ± SEM; 26.7 ± 2.6), 388 in 13 non-immunized patients with Alzheimer’s disease (29.7 ± 2.1) and 122 in 4 immunized patients with Alzheimer’s disease (30.5 ± 3.9)]. The neurofilament heavy chain immunohistochemistry was not feasible in one of the immunized cases.
To address the relationship between neurite curvature and their proximity to dense-core plaques, the curvature ratio analysis was focused on the CA1 subfield. 100% of CA1 was sampled and pictures of fields containing dense-core plaques were coded and stored in separate folders for neurofilament heavy chain and thioflavin-S images. Using ImageJ, dense-core plaques in the thioflavin-S pictures were outlined and transferred to the corresponding neurofilament heavy chain images. The curvature ratio of neurite segments within 50 µm from the dense-core plaques edge was compared with the curvature ratio of neurite segments located beyond this boundary (i.e. either in previous pictures containing dense-core plaques or in pictures lacking them). The distance of neurite segments to dense-core plaques edge was calculated as the average of three distances: distances from the nearest plaque edge to each end of the neurite segment as well as the distance from the plaque edge to the midpoint of the neurite segment.
To identify dystrophic neurites around dense-core plaques, immunohistochemistry was performed with SMI312 antibody (Covance, SMI-312R), followed by thioflavin-S and DAPI counterstaining. Hippocampal regions were outlined with the CAST software under the 4 × objective as described previously. 100% of the molecular layer of the dentate gyrus, CA1, and subiculum-presubiculum was sampled under the 20× objective. Images of fields containing dense-core plaques were coded and stored in a blind fashion and analysed with ImageJ software. Dense-core plaques in the thioflavin-S pictures were outlined and transferred to the corresponding SMI312 pictures. Dystrophic neurites and varicosities/swellings either embedded or in contact with the thioflavin-S positive area were counted manually.
To visualize reactive astrocytes around dense-core plaques immunohistochemistry with a glial fibrillar acid protein antibody (Sigma, G9269) was done, followed by thioflavin-S and DAPI counterstaining. The same protocol as for SMI312-positive dystrophic neurites was followed, except that glial fibrillar acid protein and thioflavin-S pictures of the same fields were merged with the appropriate tool in ImageJ software. Reactive astrocytes with a visible nucleus by DAPI staining surrounding dense-core plaques as far as 50 µm from the plaques edge were manually counted. Reactive astrocytes located close to two or more dense-core plaques (i.e. within 50 µm) were ‘split’ among those plaques (i.e. 0.5 astrocytes for those close to two plaques, 0.33 for those close to three plaques and 0.25 for those close to four plaques). This conservative method was implemented to avoid double-counting of astrocytes per plaque in areas with high density of dense-core plaques, a situation that would be presumably more common in non-immunized Alzheimer’s disease patients and might otherwise bias the results.
All statistical analyses were conducted with the statistical package PRISM Graph Pad for Mac (version 5.0). Normality of datasets was assessed with Kolmogorov–Smirnov and Schapiro–Wilk tests. Non-normal measures included the size of total amyloid plaques and dense-core plaques, neurite curvature ratio, number of dystrophic neurites per plaque and number of astrocytes per plaque. For these data, results are expressed as median (interquartile range). A non-parametric one-way ANOVA (Kruskal–Wallis) with Dunn’s multiple comparison post-test was used for all-group comparisons and a non-parametric two-tailed t-test (Mann–Whitney, U) was run for pairwise comparisons. Normal data included amyloid load, densities of total amyloid plaques and dense-core plaques, and densities of PHF1, Alz50 and thioflavin-S positive neurons. For these, results are expressed as mean ± SEM. All-group comparisons were performed with a parametric one-way ANOVA with Bonferroni correction, and pairwise comparisons were done with a parametric two-tailed t-test with Welch’s correction when variances were significantly different between groups. Pairwise comparisons between proportions were performed with χ2 with Fisher’s exact test. Correlations were carried out with the Pearson’s statistic if both datasets were normally distributed or with the Spearman’s rank test if one or both datasets were not normal. The level of significance was set at P < 0.05.
Baseline characteristics of the three groups are listed in Table 1 and Supplementary Table 1. Additional characteristics of the immunized patients with Alzheimer’s disease can be found in Table 2 and Supplementary Table 2. Non-demented controls and non-immunized and immunized patients with Alzheimer’s disease were matched by age and gender. These two latter groups were also matched for Braak stage of neurofibrillary tangles and did not differ in terms of disease duration or ApoE genotype. Post-mortem interval was not significantly different across groups. The detailed results of each case for the main quantitative analyses are shown in Supplementary Table 4.
Plaque and vascular amyloid loads were measured as the percent of total surface stained by 10D5 anti-Aβ antibody in the neuropil and vessels of hippocampal sections counterstained with haematoxylin and periodic acid-Schiff. Plaque amyloid load in the hippocampus was significantly different across the three groups (ANOVA, F = 15.11, P < 0.0001) (Fig. 1A, Supplementary Fig. 1). As expected, hippocampal plaque amyloid load was significantly higher in non-immunized Alzheimer’s disease patients than in non-demented controls (0.700 ± 0.098% versus 0.080 ± 0.050%, t = 5.588, df = 17, P < 0.0001). Plaque amyloid load in the immunized Alzheimer’s disease patients was significantly lower than that in the non-immunized patients (0.146 ± 0.069% versus 0.700 ± 0.098%, t = 3.315, df = 16, P = 0.0044); in fact, the load in these treated subjects was not different from age-matched non-demented controls (0.146 ± 0.069% versus 0.080 ± 0.050%, t = 0.7781, df = 11, P = 0.4529). No vascular amyloid was detected in non-demented controls. Hippocampal vascular amyloid load in immunized patients did not differ significantly from non-immunized patients (0.013 ± 0.005% versus 0.026 ± 0.008%, t = 0.8895, df = 16, P = 0.3869) (Fig. 1B).
Densities of total and dense-core plaques were quantified with an unbiased stereological approach in hippocampal sections double-stained with 3D6 anti-Aβ antibody and thioflavin-S (Fig. 1C–D). There were significant differences across groups in the densities of 3D6 (total) and of thioflavin-S positive (dense-core) plaques (ANOVA, F = 34.68 and 27.06, respectively, P < 0.0001 for both comparisons). As expected, non-immunized Alzheimer’s disease patients had a density of both total and dense-core amyloid plaques significantly higher than non-demented controls (3D6: 22.07 ± 1.956 plaques/mm2 versus 1.738 ± 0.970 plaques/mm2, t = 9.311, df = 16, P < 0.0001; thioflavin-S: 16.17 ± 1.570 plaques/mm2 versus 1.408 ± 0.788 plaques/mm2, t = 8.399, df = 16, P < 0.0001). By contrast, AN1792-treated patients had a density of total and dense-core amyloid plaques significantly lower than non-immunized patients (3D6: 4.566 ± 2.799 plaques/mm2 versus 22.07 ± 1.956 plaques/mm2, t = 4.846, df = 16, P = 0.0002; thioflavin-S: 4.102 ± 2.349 plaques/mm2 versus 16.17 ± 1.570 plaques/mm2, t = 4.122, df = 16, P = 0.0008) and not significantly different from non-demented controls (3D6: 4.566 ± 2.799 plaques/mm2 versus 1.738 ± 0.970 plaques/mm2, t = 1.137, df = 11, P = 0.2796; thioflavin-S: 4.102 ± 2.349 plaques/mm2 versus 1.408 ± 0.788 plaques/mm2, t = 1.087, df = 4, P = 0.3381). A sub-regional analysis revealed significant differences between both Alzheimer’s disease groups in all the hippocampal regions analysed (data not shown).
We also calculated the proportion of dense-core plaques among the total amyloid plaques in each group using the same sections double-stained with 3D6 and thioflavin-S and the raw data obtained with the quantification above (Fig. 1E). This proportion was significantly different across groups (χ2 = 22.30, df = 2, P < 0.0001; χ2 for trend = 8.499, df = 1, P = 0.0036). Pairwise comparisons revealed that the immunized group had a significantly higher proportion of dense-core plaques than the non-immunized Alzheimer’s disease cases (89.09% versus 72.89%, Fisher’s exact test, P < 0.0001). Non-demented controls had a proportion of dense-core plaques intermediate between non-immunized and immunized patients, but not significantly different from them (82.26% versus 72.89%, Fisher’s exact test, P = 0.1082 and 82.26% versus 89.09%, Fisher’s exact test, P = 0.1840, respectively). A comparison of the correlation between density of total and dense-core amyloid plaques in both Alzheimer’s disease groups also revealed the overwhelming predominance of the dense-core type of amyloid plaques in the immunized group (r = 0.9990, P < 0.0001 in the immunized group versus r = 0.6624, P = 0.0136 in the non-immunized group; Pearson’s correlation test) (Fig. 1F).
The size of total amyloid plaques was measured in 10D5-immunostained sections and that of dense-core plaques was measured in thioflavin-S stained sections. Both total and dense-core amyloid plaques were significantly smaller in immunized patients with respect to non-immunized patients (Fig. 1G–H, Supplementary Fig. 2A–B) [total amyloid plaques: 197.1 (98.88–404.7) µm2 versus 261.1 (126.6–638.3) µm2, U = 1039 000, P < 0.0001; dense-core plaques: 930.7 (555.2–1565) µm2 versus 1181 (753.4–1974) µm2, U = 119 700, P < 0.0001]. No significant differences were found in the size of both total and dense-core amyloid plaques between the non-immunized Alzheimer’s disease group and the non-demented group [total amyloid plaques: 261.1 (126.6–638.3) µm2 versus 224.5 (107–734.3) µm2, U = 437 100, P = 0.5765; dense-core plaques: 1181 (753.4–1974) µm2 versus 1089 (503.9–2117) µm2, U = 27 460, P = 0.6599]. Lastly, total amyloid plaques were also significantly smaller in the immunized group compared to non-demented controls, but this difference did not reach statistical significance for dense-core plaques [total amyloid plaques: 197.1 (98.88–404.7) µm2 versus 224.5 (107–734.3) µm2, U = 61 760, P = 0.0062; dense-core plaques: 930.7 (555.2–1565) µm2 versus 1089 (503.9–2117) µm2, U = 6894, P = 0.1575].
Neurite curvature ratio was measured in sections immunostained with an anti-neurofilament heavy chain antibody and counterstained with thioflavin-S and DAPI.
When considering neuritic curvature independent of the distance to dense-core plaques, there was a significant positive correlation between the median curvature ratio and density of both total amyloid plaques and dense-core plaques in the non-immunized Alzheimer’s disease group (total amyloid plaques: r = 0.7692, P = 0.0021; for dense-core plaques: r = 0.5714, P = 0.0413, Spearman’s rank test) (Fig. 2A–B). There were statistically significant differences in the curvature ratio across the three groups of subjects (Kruskal–Wallis ANOVA = 84.73, P < 0.0001). As expected, the curvature ratio was abnormally higher in non-immunized Alzheimer’s disease patients compared to non-demented controls [1.027 (1.014–1.047) versus 1.020 (1.010–1.037), U = 1129 000, P < 0.0001]. Importantly, the curvature ratio was significantly lower in immunized compared to non-immunized patients [1.021 (1.010–1.041) versus 1.027 (1.014–1.047), U = 567 400, P < 0.0001], reaching a value not different from non-demented controls [1.021 (1.010–1.041) versus 1.020 (1.010–1.037), U = 339 700, P = 0.0960] (Fig. 2C, Supplementary Fig. 2C).
We then examined the influence of the proximity to dense-core plaques on the curvature ratio, performing the analysis in a plaque-based rather than in a random fashion, focusing on the CA1 subfield (Fig. 2D). As expected, in the non-immunized Alzheimer’s disease group, the curvature ratio was significantly higher close to the plaques ( <50 µm) than far away from them ( ≥50 µm) [1.043 (1.023–1.075) close versus 1.028 (1.015–1.049) far, U = 453 600, P < 0.0001]. Conversely, in the immunized group both curvature ratio values close to and far from the dense-core plaques were almost identical [1.022 (1.009–1.038) close versus 1.020 (1.010–1.036) far, U = 40 570, P = 0.5641]. Moreover, both curvature ratio values in the immunized group were significantly lower than the corresponding curvature ratio values in the non-immunized group (close: U = 117 200, P < 0.0001; far: U = 100 800, P < 0.0001). Importantly, in neither of the Alzheimer’s disease groups was the curvature ratio of neurites close to plaques influenced by the size of the plaques (Kruskal–Wallis ANOVA with Dunn’s multiple comparison post-test: P > 0.05), whereas the significant difference observed in the curvature ratio close to plaques between both Alzheimer’s disease groups was preserved across different plaque size intervals (Kruskal–Wallis ANOVA with Dunn’s multiple comparison post-test: P ≤ 0.001, except for the plaque size interval 1500–2000 µm2, which did not reach significance, probably due to the small number of neurites measured close to plaques of this size in the immunized group, n = 18) (Fig. 2E).
Dystrophic neurites and axonal swellings or spheroids per dense-core plaque were counted within the thioflavin-S positive area in sections stained with SMI312 antibody and counterstained with thioflavin-S. Dense-core plaques in non-immunized Alzheimer’s disease patients had significantly more dystrophic neurites compared to plaques in non-demented controls [2 (1–4) dystrophies/plaque versus 1 (0–3) dystrophy/plaque, U = 20 790, P = 0.0007]. Unexpectedly, there was a significant increase in the number of dystrophic neurites per dense-core plaque in the immunized patients compared to non-immunized patients [4 (2–6) dystrophies/plaque versus 2 (1–4) dystrophies/plaque, U = 116 800, P < 0.0001] (Fig. 3A, Supplementary Fig. 2D).
Accumulation of mitochondria in dystrophic neurites of dense-core plaques was examined by immunohistochemistry for the outer mitochondrial membrane marker VDAC1 with thioflavin-S counterstaining. The proportion of dense-core plaques immunoreactive for VDAC1 in non-immunized Alzheimer’s disease patients was higher than that in non-demented controls, although this difference did not reach statistical significance (38.96% versus 31.43%, respectively, Fisher’s exact test, P = 0.4771). Remarkably, more than half (56.25%) of the dense-core plaques in the AN1792-treated patients were VDAC1-positive, a proportion significantly higher compared to the other two groups (P = 0.0009 versus non-immunized group; P = 0.0121 versus non-demented group, Fisher’s exact test) (Fig. 3B).
We counted the number of glial fibrillar acid protein-positive reactive astrocytes per dense core-plaque (up to 50 µm from the edge of the plaque) in sections counterstained with thioflavin-S. Dense-core plaques had a more severe astrocytosis in non-immunized Alzheimer’s disease patients than that in non-demented controls [1.5 (0.4575–3) astrocytes/plaque versus 0.33 (0–1.040) astrocytes/plaque, U = 22 070, P < 0.0001]. The extent of astrocytosis surrounding dense-core plaques remaining after immunization was slightly but not significantly decreased, when compared to plaques from non-immunized patients with Alzheimer’s disease [1 (0–3) astrocyte/plaque versus 1.5 (0.4575–3) astrocytes/plaque, U = 73 110, P = 0.6060], but still more severe than that around dense-core plaques from non-demented controls (U = 3548, P = 0.0006) (Fig. 3C, Supplementary Fig. 2E).
To analyse the amount of abnormal neuronal tau quantitatively, we performed immunohistochemical studies with two different anti-tau antibodies: the phosphorylation-dependent antibody PHF1 to assess the phosphorylation status of tau and the conformation-dependent antibody Alz50 to evaluate the misfolding status of tau (Fig. 4A–B). The density of thioflavin-S positive neurofibrillary tangles (i.e. tau fibrillar aggregates with a β-sheet conformation) was also quantitated in a stereological fashion (Fig. 4C).
As expected, densities of Alz50-positive and PHF1-positive neurons and thioflavin-S positive neurofibrillary tangles were significantly higher in non-immunized Alzheimer’s disease patients (Braak stages IV–VI) than in non-demented controls (Braak stages I–III) (Alz50: 16.08 ± 2.534 neurons/mm2 versus 6.948 ± 2.915 neurons/mm2, t = 2.305, df = 19, P = 0.0326; PHF1: 47.44 ± 6.138 neurons/mm2 versus 5.464 ± 2.042 neurons/mm2, t = 6.489, df = 14, P < 0.0001; thioflavin-S: 34.12 ± 6.990 neurofibrillary tangles/mm2 versus 4.468 ± 1.885 neurofibrillary tangles/mm2, t = 4.096, df = 13, P = 0.0013). Of note, immunized patients showed a significant reduction in the density of PHF1-positive neurons compared to non-immunized patients, despite being matched for the Braak stage (18.53 ± 10.49 neurons/mm2 versus 47.44 ± 6.138 neurons/mm2, t = 2.445, df = 16, P = 0.0264) (Figs 4A and and4E–L).4E–L). No difference was found in the densities of Alz50-positive neurons and thioflavin-S positive neurofibrillary tangles between the Alzheimer’s disease groups (Alz50: 17.42 ± 9.152 neurons/mm2 in AN1792-treated versus 16.08 ± 2.534 neurons/mm2 in non-treated, t = 0.1407, df = 4, P = 0.8949; thioflavin-S: 18.56 ± 7.690 neurofibrillary tangles/mm2 in AN1792-treated versus 34.12 ± 6.990 neurofibrillary tangles/mm2 in non-treated, t = 1.261, df = 16, P = 0.2255). A correlation between densities of PHF1-positive and Alz50-positive neurons for both Alzheimer’s disease groups revealed a predominance of PHF1-positive over Alz50-positive neurons in non-immunized patients with Alzheimer’s disease whereas both densities were similar in the immunized group (r = 0.3899, P = 0.1878, in the non-immunized group, versus r = 0.9755, P = 0.0046, in the immunized group, Pearson’s correlation test) (Fig. 4D).
Both active and passive immunotherapy against Aβ peptide have been shown to clear amyloid plaques or prevent Aβ deposition in several mouse models of Alzheimer’s disease (Schenk et al., 1999; Bard et al., 2000; Morgan et al., 2000; Janus et al., 2000; Bacskai et al., 2001, 2002; DeMattos et al., 2001; Lemere et al., 2003; Wilcock et al., 2004). Post-mortem studies of brain specimens from participants in the Phase 2a active immunization trial also revealed a significant decrease in amyloid pathology, as measured with either amyloid load or density of amyloid plaques per field (Nicoll et al., 2003; Ferrer et al., 2004; Masliah et al., 2005; Bombois et al., 2007; Holmes et al., 2008).
Our results are in agreement with these previous autopsy reports. Compared to the hippocampus of non-immunized patients from our brain bank, the hippocampus of this subset of immunized Alzheimer’s disease patients had a significantly lower amount of amyloid deposits, as measured in sections stained with the 10D5 antibody, an antibody that recognizes the N-terminus of the Aβ peptide. Indeed, active immunization reduced the hippocampal plaque amyloid load in the treatment group down to the levels existing in age-matched non-demented controls. The same result was achieved after the stereological quantification of density of amyloid plaques in sections stained with the 3D6 antibody, which also binds to the N-terminus of the Aβ peptide. Since anti-Aβ antibodies generated after AN1792 immunization are mainly directed against the N-terminus of the Aβ peptide (Lee et al., 2005), the results herein could be explained by a competition between 10D5 and 3D6 antibodies and de novo endogenous anti-Aβ antibodies to bind amyloid plaques. However, stereological quantification of plaques in thioflavin-S stained sections also yielded similarly lower density of dense-core plaques in immunized patients, ruling out this possibility.
Interestingly, our quantitative analysis revealed a significantly higher proportion of dense-core plaques among the remaining amyloid plaques in the immunized cases, as compared to non-immunized Alzheimer’s disease cases. A sub-regional analysis showed that this difference was mainly driven by the stereological quantification in the subiculum-presubiculum (data not shown). Indeed, the hippocampal sections from four out of the five immunized Alzheimer’s disease patients were virtually devoid of the confluent, diffuse, ‘cloud-like’ amyloid deposits, typically seen in the parvopyramidal layer of the presubiculum (see Supplementary Fig. 1) (Kalus et al., 1989; Akiyama et al., 1990; Wisniewski et al., 1998). Thus, these data indicate that AN1792 immunization was comparatively more effective at clearing diffuse amyloid deposits than dense-core plaques.
We compared the size distribution of amyloid plaques in hippocampal sections from the three groups of subjects and found that both total amyloid plaques and dense-core plaques were significantly smaller in immunized patients, with respect to non-immunized patients and non-demented controls. Despite the static nature of any post-mortem study, this result is consistent with the in vivo observation of a reduction in dense-core plaques size after topical administration of anti-Aβ antibodies in an Alzheimer’s disease mouse model (Bacskai et al., 2002). This observation, together with the relative abundance of collapsed ‘moth-eaten’ plaques remaining after AN1792 immunization already noted in previous post-mortem reports (Nicoll et al., 2003; Ferrer et al., 2004), also points towards a sequential pattern of amyloid removal: plaques halo, containing more soluble amyloid species, would be removed more readily, whereas insoluble amyloid fibrils compactly packed within the plaque core would be harder to solubilize.
According to previous reports, amyloid removal seems to be proportional to the immunological response to AN1792 as measured with antibody titres in plasma or CSF (Holmes et al., 2008). Of note, in our study, both an antibody responder patient who developed a subacute meningoencephalitis and a patient with undetectable antibody titres by enzyme-linked immunosorbent assay had the highest amyloid loads and densities of dense-core plaques among the immunized patients.
A recent post-mortem study of eight other AN1792-immunized patients showed an overall increase in the extension and severity of cerebral amyloid angiopathy, suggesting that amyloid peptide is cleared through the vessels wall and efflux to the circulation (Boche et al., 2008). Unlike this study, the clearance of amyloid plaques in the hippocampus of our subset of immunized patients was not translated into an increase of their vascular amyloid load, which was not significantly different from non-immunized patients. However, since cerebral amyloid angiopathy is usually more prominent in neocortical areas and our analysis was restricted to the hippocampus, we cannot rule out an overall increase of cerebral amyloid angiopathy in our immunized group.
We previously showed that the neurites within the dense-core amyloid plaques in the human Alzheimer’s disease brain have a more abnormal trajectory compared to the neurites outside the plaques, and also compared to the neurites in the brain of non-demented controls (Knowles et al., 1999). We also showed in Alzheimer’s disease transgenic mouse models that the curvature ratio in neurites within 50 µm from the edge of the dense-core plaques is abnormally higher than the curvature ratio far away from this boundary (D'Amore et al., 2003; Lombardo et al., 2003; Spires-Jones et al., 2009). In addition, in vivo imaging of the brain in one of these models revealed that changes in neurite trajectories follow the appearance of new plaques, arguing that this morphologic change is secondary to Aβ deposition (Meyer-Luehmann et al., 2008). Lastly, passive immunotherapy in these Alzheimer’s disease mouse models was able to normalize the curvature ratio of the neurites upon removal of amyloid plaques (Lombardo et al., 2003; Spires-Jones et al., 2009).
Based on this previous work in transgenic models of Aβ deposition, we analysed the curvature ratio of the neurites (dendrites and axons) in the hippocampus of the three groups of subjects and studied the influence of their proximity to dense-core plaques. The presence of a curvature ratio significantly higher in non-immunized Alzheimer’s disease patients compared to non-demented controls confirmed the reproducibility and validity of this measure of neurite morphological abnormality. A subsequent analysis in the CA1 subfield with a plaque-based approach yielded a significantly higher curvature ratio of neurites located close to dense-core plaques ( <50 µm), as compared to neurites far from them ( ≥50 µm), in non-immunized patients with Alzheimer’s disease. This higher curvature ratio close to plaques was not influenced by the plaque size, supporting a local toxic effect of dense-core plaques on the trajectories of surrounding neurites rather than a ‘mass effect’, and further reinforcing the usefulness of this morphological measure. Examination of double-labelled hippocampal sections revealed that the 50 µm boundary around the edge of the thioflavin-S positive area was far away from the thin halo of more diffuse 3D6-positive but thioflavin-S-negative amyloid, also arguing against this ‘mass effect’ (results not shown).
Importantly, in the first of the two analyses, the neurite curvature ratio was significantly lower in AN1792-immunized patients than in non-immunized patients. Indeed, we observed an apparent normalization of this parameter of neuronal degeneration, since there was no significant difference between immunized patients and non-demented controls. This result is not merely due the existence of fewer plaques in the immunized Alzheimer’s disease group, because in the plaque-based analysis performed subsequently, curvature ratios of both neurites located close to and far from dense-core plaques also were significantly lower in AN1792-treated patients, compared to the non-immunized patients. In fact, unlike these results in the non-immunized group, in the immunized patients both curvature ratios were almost identical. In addition, the significant difference observed in the curvature ratio close to plaques between both Alzheimer’s disease groups is not merely due to the plaques from the immunized group being smaller and exerting less ‘mass effect’ on surrounding neurites; first, as mentioned above, the plaque size did not influence the curvature ratio of surrounding neurites, and second, the difference was preserved across different plaque size intervals. Thus, the significantly lower curvature ratio in the proximity of the remaining plaques in the AN1792 group unequivocally points to the reduction of an abnormal neurite morphology otherwise existing around the dense-core plaques.
Taken together, these results indicate that AN1792 immunization reproduces the beneficial effects on neurite trajectories observed with anti-Aβ passive immunization in preclinical studies (Lombardo et al., 2003; Spires-Jones et al., 2009) and further extend previous evidence of anti-Aβ immunization-induced improvement in markers of neuronal degeneration in the human Alzheimer’s disease brain (Nicoll et al., 2003; Ferrer et al., 2004; Masliah et al., 2005). While we have previously shown that plaque-induced neuritic curvature can potentially contribute to the cognitive deficits seen in Alzheimer’s disease by disrupting the cortical synaptic integration (Knowles et al., 1999; Stern et al., 2004), the restoration of neurite trajectories observed in the hippocampus of this subset of immunized patients may not be sufficient to slow their cognitive decline (Supplementary Table 2) (Ferrer et al., 2004; Masliah et al., 2005; Bombois et al., 2007; Uro-Coste et al., 2010).
Passive anti-Aβ immunotherapy can promote a rapid recovery of amyloid-associated neuritic dystrophy in mouse models of Alzheimer’s disease (Brendza et al., 2005), and also previous autopsy reports of AN1792-treated patients have described a decrease in the density of clusters of dystrophic neurites upon amyloid removal (Nicoll et al., 2003; Ferrer et al., 2004; Masliah et al., 2005). We sought to compare the amount and characteristics of plaque-associated neuritic dystrophy in hippocampal sections from the three groups of subjects. First, we counted the number of SMI312-positive dystrophic neurites and axonal swellings or spheroids within the boundaries of dense-core plaques and observed an unexpected increase in dystrophic neurites associated with the remaining plaques of AN1792-treated patients, as compared to non-immunized patients. Next, we wondered whether this resistance of dystrophic neurites to anti-Aβ immunotherapy might be due to their end-stage properties. Electron microscopy studies have described the accumulation of degenerating mitochondria in the dystrophic processes of dense-core amyloid plaques (Kidd, 1964; Fiala et al., 2007). Indeed, a staging of mitochondrial degeneration has been proposed, starting with the accumulation of smaller but otherwise normal-looking mitochondria, followed by the swelling of mitochondrial cristae and the formation of lamellar bodies, and lastly clustering into multivesicular, presumably autophagic, bodies (Fiala et al., 2007). We sought to depict this pathological feature with immunostaining for VDAC1 (porin, voltage-dependent anion channel type 1), a channel protein present in the outer mitochondrial membrane. As expected by these previous ultrastructural descriptions, VDAC1 decorated dystrophic processes of some dense-core plaques, intermingled with the fibrillar amyloid. Surprisingly, we found a significantly increased proportion of VDAC1-immunoreactive dense-core plaques in the immunized group. Thus, the results of this characterization of plaque-associated neuritic dystrophy suggest that anti-Aβ active immunization might be ineffective in ameliorating amyloid-embedded end-stage dystrophic neurites unless compact amyloid is completely removed. By contrast, we postulate that the restoration of the trajectory of surrounding neurites would occur as soon as the process of plaque removal begins. Alternatively, new dystrophic neurites and axonal swellings and further mitochondrial degeneration might occur within the remaining dense-core plaques as a result of the ongoing solubilization of amyloid fibrils, perhaps due to an increase in the local concentration of toxic Aβ oligomers (Cruz et al., 1997; Carulla et al., 2005; Patton et al., 2006; Martins et al., 2008).
Previous autopsy studies of AN1792-treated patients have reported a lower density of reactive astrocyte clusters upon amyloid clearance but have not assessed the amount of astrocytosis surrounding the remaining plaques (Nicoll et al., 2003; Masliah et al., 2005). We measured the number of reactive astrocytes per dense core-plaque up to 50 µm from the edge of the plaques in the three study groups, and found no significant difference between plaques remaining after immunization and those from non-immunized patients, further suggesting that the former still retain toxic properties.
Notably, despite being similar in size, dense-core plaques were substantially less toxic in non-demented controls than in non-treated Alzheimer’s disease patients, as judged by these measures of neuritic dystrophy and astrocytosis.
In the triple transgenic mouse (3× Tg), which sequentially develops both amyloid plaques and neuronal tau aggregates, anti-Aβ immunization not only removed amyloid but also improved early tau pathology in the same sequential fashion. Yet success was not complete because late hyperphosphorylated tau aggregates remained intact after treatment (Oddo et al., 2004). However, the same authors have shown that, when initiated at an earlier stage, before the mice develop plaques and tau aggregates, anti-Aβ immunization is able to prevent the development of both amyloid and tau pathologies in this mouse model (Oddo et al., 2008). Recently, anti-Aβ active immunization has been shown to decrease tau hyperphosphorylation in two other mouse models that sequentially develop amyloid plaques and neuronal aggregates of hyperphosphorylated native murine tau, thus adding further evidence for its potential beneficial effect on tau pathology (Wilcock et al., 2009). By contrast, previous autopsy studies of AN1792-treated patients have reported a density of neurofibrillary tangles and neuropil threads similar to non-treated patients with Alzheimer’s disease and a pattern of neurofibrillary tangles distribution consistent with Braak V–VI stages. However, in a subset of 11 antibody responders with baseline and follow-up CSF samples tau levels were significantly reduced, as compared with 10 placebo recipients (Gilman et al., 2005).
To analyse tau neuronal pathology, we used two different well-characterized antibodies, PHF1 and Alz50. While PHF1 binds tau protein phosphorylated at serine residues 396 and 404 (Otvos Jr. et al., 1994), Alz50 is a phosphorylation-independent but conformation-dependent anti-tau antibody, with an epitope consisting of the N-terminus and one of the microtubule-binding domains of the tau molecule (Carmel et al., 1996). Although both antibodies are highly specific for tau species in the Alzheimer’s disease brain, Alz50 has been shown to label early misfolded tau (Carmel et al., 1996), whereas PHF1 binds to later-stage hyperphosphorylated tau (Augustinack et al., 2002).
Surprisingly, stereological quantification of the density of PHF1-positive neurons yielded a significant reduction in immunized patients, as compared to non-immunized patients. However, no difference was found in the quantification of Alz50 positive cells between both Alzheimer’s disease groups. Furthermore, there was no significant difference between the groups in the density of late-stage thioflavin-S positive neurofibrillary tangles.
Taken together, these results suggest that anti-Aβ active immunization is able to decrease tau hyperphosphorylation but is less effective in ameliorating the misfolding and aggregation of the tau molecules. Further, they are in line with a previous autopsy study of one of these immunized patients describing a reduced immunoreactivity of phospho-tau and the stress kinases stress-activated protein kinase/c-Jun N-terminal kinase and p38 within the dystrophic neurites surrounding collapsed plaques (Ferrer et al., 2004). Remarkably, among the immunized patients, both the subject who developed an autoimmune meningoencephalitis and the subject who did not generate an enzyme-linked immunosorbent assay-detectable anti-AN1792 antibody response had the highest densities of Alz50, PHF1 and thioflavin-S positive neurons. Therefore, it is possible that immunization at an earlier stage of the disease (i.e. in patients with mild cognitive impairment) would have reverted or even prevented the development of neurofibrillary tangles to a greater extent. These findings suggest a link between Aβ and tau, and provide strong support for the amyloid cascade hypothesis, which postulates that Aβ accumulation triggers the onset of Alzheimer’s disease and that tau hyperphosphorylation, subsequent neurofibrillary tangles formation and neuronal death are downstream consequences of the Aβ aggregation (Hardy and Selkoe, 2002). To our knowledge, this is the first evidence of improvement of neuronal tangle pathology upon anti-Aβ immunization in patients with Alzheimer’s disease. Differences with previous reports might be due to the different tau epitopes depicted in the immunohistochemical studies and to the different quantification approaches (sterology-based versus non-stereology based).
In summary, we show that clearance of amyloid plaques by anti-Aβ active immunization within the hippocampus promotes potentially beneficial structural changes of neurites and decreases the hyperphosphorylation of tau. However, dense-core plaques that remain after immunization retain at least some of their toxic properties. The morphological improvements are relatively subtle and may not be sufficient to alter the clinical course of these patients. Nonetheless, they extend previous evidence that an Aβ-directed therapy can modify the neuropathology of the human disease beyond the effects on amyloid plaques and support the idea that Aβ toxicity directly mediates at least some of the neurodegenerative phenomena associated with neural system collapse in Alzheimer’s disease. Immunization of patients at an earlier stage of the disease might enhance these positive changes and render a more robust improvement of cognitive functions. Larger clinicopathological studies on patients enrolled in ongoing active and passive immunization clinical trials are needed to confirm these results. Also, whether plaque removal by immunization leads to an increase of synaptic density or prevents further synaptic loss—the main pathological correlate of cognitive function in Alzheimer’s disease—remains to be investigated.
National Institutes of Health [grant numbers AG08487 and P50AG05134 to B.T.H., M.P.F, J.H.G and C.M.W]; the Programme Hospitalier de Reserche Clinique Régional [02-029-08 to E.U.C. and M.B.D.] and the Fondo de Investigaciones Sanitarias-Instituto de Salud Carlos III of the Spanish Ministerio de Ciencia e Innovación [CM06/00161 to A.S.P.].
Supplementary material is available at Brain online.
The authors want to thank the patients and caregivers involved in research in their respective institutions.