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Journal of Neuropathology and Experimental Neurology logoLink to Journal of Neuropathology and Experimental Neurology
. 2016 Feb 17;75(3):284–290. doi: 10.1093/jnen/nlv028

Neuropathology of Autosomal Dominant Alzheimer Disease in the National Alzheimer Coordinating Center Database

John M Ringman 1,, Sarah Monsell 1, Denise W Ng 1, Yan Zhou 1, Andy Nguyen 1, Giovanni Coppola 1, Victoria Van Berlo 1, Mario F Mendez 1, Spencer Tung 1, Sandra Weintraub 1, Marek-Marsel Mesulam 1, Eileen H Bigio 1, Darren R Gitelman 1, Amanda O Fisher-Hubbard 1, Roger L Albin 1, Harry V Vinters 1
PMCID: PMC4934612  NIHMSID: NIHMS796419  PMID: 26888304

Abstract

Alzheimer disease (AD) represents a genetically heterogeneous entity. To elucidate neuropathologic features of autosomal dominant AD ([ADAD] due to PSEN1, APP, or PSEN2 mutations), we compared hallmark AD pathologic findings in 60 cases of ADAD and 120 cases of sporadic AD matched for sex, race, ethnicity, and disease duration. Greater degrees of neuritic plaque and neurofibrillary tangle formation and cerebral amyloid angiopathy (CAA) were found in ADAD (p values < 0.01). Moderate to severe CAA was more prevalent in ADAD (63.3% vs. 39.2%, p = 0.003), and persons with PSEN1 mutations beyond codon 200 had higher average Braak scores and severity and prevalence of CAA than those with mutations before codon 200. Lewy body pathology was less extensive in ADAD but was present in 27.1% of cases. We also describe a novel pathogenic PSEN1 mutation (P267A). The finding of more severe neurofibrillary pathology and CAA in ADAD, particularly in carriers of PSEN1 mutations beyond codon 200, warrants consideration when designing trials to treat or prevent ADAD. The finding of Lewy body pathology in a substantial minority of ADAD cases supports the assertion that development of Lewy bodies may be in part driven by abnormal β-amyloid protein precursor processing.

Keywords: Alzheimer disease, Amyloid plaques, Autosomal dominant, Cerebral amyloid angiopathy, Neurofibrillary tangles, Neuropathology, P267A.

INTRODUCTION

The amyloid hypothesis of Alzheimer disease (AD) posits that alteration in amyloid precursor protein (APP) processing is central to the pathogenesis of all forms of AD (1). This is supported by the recognition that rare autosomal dominantly inherited forms of AD (autosomal dominant AD or ADAD) caused by mutations in the APP, PSEN1, and PSEN2 genes lead to aberrant levels of APP cleavage products (2, 3), including β-amyloid (Aβ). Evidence for altered APP cleavage in sporadic AD (sAD) is weaker, although there is support for altered trafficking (4–6), transport (7), and degradation (8) of Aβ playing roles. Documentation of neuropathologic distinctions between these forms of AD is critical to understanding variability in pathways leading to their development (9).

AD is defined by the presence of extracellular deposition of protein aggregates containing APP derivatives, intracellular accumulation of cytoskeletal elements containing hyperphosphorylated tau (neurofibrillary tangles), and synapse and neuronal loss. Deposition of Aβ in the walls of small arterioles (ie, cerebral amyloid angiopathy [CAA]) is frequently present. Similarly, intraneuronal aggregates containing hyperphosphorylated α-synuclein (Lewy bodies) often coexist with AD changes. These features are also seen in ADAD, though their nature and distribution are variable. Extensive descriptions of the neuropathologic features of ADAD cases are prevalent in the literature (10, 11), but there are few large systematic comparisons with sAD.

Prior studies comparing neuropathology between persons with ADAD and sAD found increased levels of Aβ42 and neurofibrillary tangles in ADAD, with differences existing both between and within specific ADAD mutations (12, 13). A large study assessing the neuropathologic changes in 54 PSEN1 mutation cases found higher levels of Aβ42 in frontal cortex. Greater degrees of amyloid pathology in the cerebellum and more severe CAA were seen in persons with PSEN1 mutations after codon 200 (14). In a more recent study in which detailed immunohistochemical analyses were performed in 10 ADAD cases compared to 19 sAD cases, more extensive deposits of tau and Aβ42 were found in subcortical structures in ADAD and of Aβ42 in cortical regions in sAD (15). The finding of greater correlation of Aβ with proteins associated with its metabolism in ADAD but with markers of synaptic loss in sAD was interpreted as revealing potentially distinct pathogenic pathways.

The clinical relevance of CAA is becoming increasingly appreciated. In addition to increasing the risk of spontaneous (16) and anticoagulant-related (17) lobar hemorrhages, CAA appears to predispose to vasogenic edema and hemorrhagic complications of antiamyloid therapies (amyloid-related imaging abnormalities or ARIA), which are being evaluated for the treatment of AD (18). Because such therapies are in trials to prevent clinical disease in carriers of ADAD mutations, and it is important to understand CAA prevalence in this population.

In the current study, we used the National Alzheimer Coordinating Center (NACC) database to compare neuropathologic autopsy findings between persons dying with AD due to ADAD mutations to those found in sAD.

MATERIALS AND METHODS

The NACC collects clinical and neuropathologic data from National Institute on Aging (NIA)-funded Alzheimer’s Disease Centers (ADCs). Participants and study partners provide informed consent and undergo comprehensive evaluations on an approximately annual basis. ADCs began collecting clinical (19) and neuropathological (20) data that were forwarded to the NACC starting in 1999. In 2005, the evaluations were expanded and standardized as the Uniform Data Set, such that, at each visit, a summary of findings is elaborated and a diagnosis is rendered (21). APOE genotyping is available on a subset of participants. The present study is a secondary analysis of anonymized data acquired under institutional review board approval at each center.

We queried the NACC database for cases for which key neuropathologic data (Braak staging, neuritic plaque, and CAA grading) were available and were coded as having either PSEN1, APP, or PSEN2 mutations. We then contacted sites to verify the specific mutation present in each patient. Eight additional ADAD patients from University of California, Los Angeles (UCLA) who underwent identical neuropathologic assessments but had not been forwarded to the NACC were also included.

Controls were chosen from sAD subjects for whom data on the same key neuropathologic variables were available. The sAD cases were selected as follows: (1) they had a primary clinical diagnosis during life of dementia due to probable or possible AD (22); (2) to confirm the presence of amyloid pathology, they met the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) neuropathologic criteria (20) for possible, probable, or definite AD; (3) they did not have frontotemporal lobar degeneration or other non-AD primary pathologic diagnoses; and (4) both parents were known to have lived beyond age 65 without dementia. Subjects were chosen by matching for sex, race, ethnicity, and disease duration (time from onset of symptoms until death, in years) with the ADAD group. Matching for ethnicity was performed based on a previous observation in the NACC dataset of a suggestion of increased risk of severe CAA among persons of Hispanic origin (23).

Sex, race, and Hispanic ethnicity were compared between ADAD and sAD groups. APOE genotypes were collapsed into one of 3 groups consisting of ϵ3 homozygotes (3/3), ϵ4 carriers (3/4 and 4/4), or ϵ2 carriers (2/3 and 2/2), and their frequencies were compared between groups. The neuropathologic variables that were compared between groups included ratings for diffuse and neuritic amyloid plaques. Diffuse and neuritic plaques were semiquantitated on a scale from 0 to 3 (none, sparse, moderate, or frequent) in 3 neocortical regions (middle frontal, superior temporal, and inferior parietal regions). Braak staging (0–VI) was also determined and compared between groups. Braak stages I and II reflect involvement mainly of entorhinal cortex and hippocampus; stages III and IV reflect more severe involvement of entorhinal cortex and hippocampus with early neocortical involvement in stage IV; stages V and VI reflect increasingly severe involvement of neocortex (24). CAA was also scored on a scale from 0 to 3 (none, mild, moderate, and severe). Lewy body pathology was also rated and compared (0–3: none, brainstem predominant, intermediate or transitional, diffuse neocortical, respectively, or 4: “unspecified or not further assessed”). Because Lewy body pathology was coded as “unspecified or not further assessed” in 10 of 60 ADAD cases, cases coded as such were excluded and the analysis repeated for determining severity. Cerebrovascular variables were also compared between ADAD and sAD cases; these included the presence or absence of (1) any cerebrovascular pathology, (2) one or more large artery infarcts, (3) one or more cortical microinfarcts, (4) one or more lacunes, (5) single or multiple hemorrhages, (6) subcortical arteriosclerotic leukoencephalopathy/rarefaction, and (7) cortical laminar necrosis. Severity of (8) atherosclerotic vascular pathology of the Circle of Willis and (9) small parenchymal arteriolar disease were also assessed and scored as 0–3 (none, mild, moderate, and severe). We repeated the same analyses in the subset of persons with PSEN1 mutations, comparing those with mutations before and after codon 200.

Comparisons were made using 2-tailed t tests for quantitative variables and chi-square and Fisher exact tests for categorical variables. All analyses were performed on IBM Statistical Package for the Social Sciences (SPSS), version 22.

RESULTS

Study Population

Fifty-two cases in the NACC from 15 ADCs and 8 additional cases from UCLA for whom an ADAD mutation could be verified were included (total = 60). There were 46 cases with PSEN1 mutations (23 distinct mutations), 10 with APP mutations (4 mutations), and 4 with PSEN2 mutations (all N141I [25]) (Table 1). Information on disease duration was available for 48 ADAD mutation carriers and had a mean value of 9.6 years (SD = 3.8 years). Mean age at death was 53.5 years (range 34–85), 50% were male, and APOE genotype was available for 50 cases (Table 2).

TABLE 1.

Autosomal Dominant Alzheimer Disease Mutations

PSEN1 (n = 46)
A79V (5 cases) I143T (2 cases) M233L (2 cases)
Y115C (2 cases) M146L (2 cases) L235V
Y115H Y156insFI T245P (2 cases)
E120D H163R (4 cases) V261F
N135D S170F P267Aa
N135S (2 cases) G206A (6 cases) A431E (6 cases)
M139I G209V L435F
M139V L226R
APP (n = 10)
E693G V717I (3 cases)
V717F (4 cases) V717L (2 cases)
PSEN2 (n = 4)
N141I (4 cases)
a

Novel PSEN1 mutation.

TABLE 2.

Demographic Data and APOE Genotypes in Study Populationa

Autosomal Dominant AD (n = 60) Sporadic AD (n = 120) p Values
Gender, number of males 30 (50%) 63 (52.5%) 0.76
Age at death, in years (SD) 53.5 (10.9) 79.3 (9.6) < 0.001
Disease duration, years (SD) 9.6 (n = 48, 3.8) 9.5 (3.9) 0.97
Ethnicity, number of Hispanic 12 (20%) 16 (13.3%) 0.28
Race 0.62
White 55 (91.7%) 107 (89.2%)
Black 1 (1.7%) 4 (3.3%)
American Indian 0 (0%) 2 (1.7%)
Pacific Islander 1 (1.7%) 0 (0%)
Asian 2 (3.3%) 5 (4.2%)
Other 1 (1.7%) 2 (1.7%)
APOE genotypes 0.001
3/3 33 (58.9%) 40 (33.3%)
¾ 13 (23.2%) 44 (36.7%)
2/3 4 (7.1%) 2 (1.7%)
4/4 0 (0%) 16 (13.3%)
2/4 0 (0%) 2 (1.7%)
Unknown 10 (10.7%) 16 (13.3%)

AD, Alzheimer disease; SD, standard deviation.

aResults are based on 2-sided chi-square tests except for age, death, and disease duration, which were 2-tailed t tests.

All but one of the 28 mutations had been previously reported and are thought to be pathogenic for ADAD (http://www.molgen.vib-ua.be/ADMutations/). One patient had a novel PSEN1 mutation (P267A), which is included because the patient had AD neuropathology and the case for the pathogenicity of the mutation is strong. The patient with a P267A substitution was an African American male who presented with memory problems beginning at age 62, causing him to leave work at age 63. At age 67, he was hospitalized for severe behavioral changes; he died at age 69. The patient’s identical twin was also diagnosed with AD at age 59, and their mother had died at age 79 with the onset of dementia symptoms in her mid 60s. The index patient had a nucleotide change at position 1047, which is predicted to cause an amino acid substitution of alanine for proline at codon 267. Two other pathogenic substitutions at this codon, which is located just outside the sixth transmembrane portion of presenilin-1, have been previously reported: P267S (26) and P267L (27). The P267A variant was not found in the Alzheimer’s Disease and Frontotemporal Dementia Mutation Database (AD-FTD), Exome Aggregation Consortium (ExAC), Exome Variant Server (EVS), or 1000 genomes databases of human genetic variation. Further support for the pathogenicity of this mutation is the independent observation (at another ADC) of another African American man with an autosomal dominant family history of dementia, onset of symptoms at age 45, and meeting criteria for dementia at age 51, who was also found to have the P267A PSEN1 variant. This variant is predicted to be deleterious by SIFT (http://sift.jcvi.org) and probably damaging by PolyPhen (http://genetics.bwh.harvard.edu/pph2/). This amino acid residue is conserved in mouse PSEN1 and human PSEN2 and would be classified as probably pathogenic according to the criteria of Guerreiro et al (28). The neuropathology associated with the P267A PSEN1 mutation in the index patient was characterized by frequent neuritic plaques, Braak stage VI, severe CAA, and absence of Lewy body pathology. A single remote microscopic hemorrhage (vs. hemorrhagic microinfarct) was identified in the left putamen.

One hundred twenty sAD cases were identified from 21 ADCs, of which 106 had diagnoses of probable AD and 14 possible AD during life. Mean age at death was 79 years of age (range 45–101), mean disease duration was 9.5 years, 53% were male, and APOE genotype was available for 104 (Table 2).

Twenty percent of the ADAD patients were of Hispanic origin, due largely to the inclusion of 6 persons with the A431E and 6 with the G206A PSEN1 mutation, which represent founder effects arising from Jalisco, Mexico (29, 30), and Puerto Rico (31), respectively. Persons of Hispanic origin are underrepresented in the NACC; thus, we were unable to match the groups perfectly with respect to ethnicity; however, no statistically significant difference between groups with respect to ethnicity was present. Distribution of APOE genotype differed between the ADAD and sAD groups, with an overrepresentation of the ϵ4 allele in 51.7% of the sAD group versus 23.2% of the ADAD group (p < 0.001).

Patients with ADAD had significantly higher neuritic plaque scores than those with sAD (2.9 vs. 2.7, p = 0.006), despite having comparable diffuse plaque and CERAD scores (Table 3). Braak stage was also higher in ADAD (5.8 vs. 5.3, p < 0.001) cases, as was CAA score (1.8 vs. 1.2, p = 0.002). When the prevalence of CAA grades (absent/mild vs. moderate/severe) was compared, moderate or severe CAA was more common in ADAD than sAD (63.3% vs. 39.2%, p = 0.003). Lewy body pathology was present in 27.1% of ADAD and 30.8% of sAD cases. When the degree of Lewy body pathology was compared by t test between ADAD and sAD for those in whom it was staged (n = 49 and 111, respectively), a greater extent of Lewy body pathology was noted in sAD (0.59 vs. 0.24, p = 0.021). The prevalence of lacunes, severity of atherosclerosis of the Circle of Willis, and parenchymal arteriosclerosis was greater in sAD (all p values < 0.008, Table 3).

TABLE 3.

Comparisons of National Alzheimer’s Coordinating Center Neuropathology Variables Between Autosomal Dominant Alzheimer Disease and Sporadic Alzheimer Disease

Autosomal dominant AD (n = 60) Sporadic AD (n = 120) p Values
Neuritic plaque scorea (SD) 2.93 (0.41) 2. 73 (0.53) 0.006*
Braak scoreb (SD) 5.8 (0.63) 5.3 (1.1) < 0.001*
Cerebral amyloid angiopathy scorec (SD) 1.8 (1.2) 1.2 (1.0) 0.002*
CERAD scored (SD) 2.87 (n = 47, 0.54) 2.78 (0.54) 0.34*
Diffuse plaque scoree (SD) 2.6 (n = 52, 0.78) 2.7 (0.66) 0.39*
Lewy body pathology scoref (SD) 0.24 (n = 49, 0.72) 0.59 (n = 111, 1.1) 0.021*
Ischemic, hemorrhagic, or vascular pathology present, n (%) 41 (n = 58, 70.7%) 89 (74.2%) 0.72**
One or more large artery infarcts present, n (%) 2 (n = 58, 3.4%) 11 (9.2%) 0.23**
One or more cortical microinfarcts present, n (%) 3 (n = 58, 5.2%) 16 (13.3%) 0.12**
One or more lacunes present, n (%) 2 (n = 58, 3.4%) 21 (17.5%) 0.008**
Single or multiple hemorrhages present, n (%) 3 (n = 58, 5.2%) 4 (3.3%) 0.68**
Subcortical arteriosclerotic leukoencephalopathy present, n (%) 5 (n = 57, 8.8%) 14 (n = 119, 11.8%) 0.62***
Cortical laminar necrosis present, n (%) 0 (n = 59, 0%) 1 (0.8%) 1.0**
Medial temporal sclerosis present, n (%) 7 (n = 57, 12.3%) 14 (11.7%) 1.0**
Atherosclerotic vascular pathology (of the circle of Willis) gradingg (SD) 1.6 (n = 57, 0.78) 2.3 (0.92) < 0.001*
Arteriosclerosis (small parenchymal arteriolar disease) gradingh (SD) 1.64 (0.90) 2.29 (n = 108, 0.90) < 0.001*

AD, Alzheimer disease; SD, standard deviation.

a

Neuritic plaque score: 0 = no neuritic plaques, 1 = sparse neuritic plaques, 2 = moderate neuritic plaques, 3 = frequent neuritic plaques.

b

Braak stage: 0 = no neurofibrillary degeneration present, 1 – 6 = Braak stages I–VI.

c

Cerebral amyloid angiopathy (CAA): 0 = no CAA present, 1 = mild, 2 = moderate, 3 = severe CAA.

d

CERAD (Consortium to Establish a Registry for Alzheimer’s Disease) score: 0 = did not meet CERAD criteria, 1 = possible AD, 2 = probable AD, 3 = definite AD.

e

Diffuse plaques: 0 = no diffuse plaques, 1 = sparse, 2 = moderate, 3 = frequent diffuse plaques.

f

Lewy Body pathology: 0 = no Lewy bodies, 1 = brainstem predominant, 2 = intermediate or transitional (limbic) type, 3 = diffuse (neocortical) type.

g

Atherosclerotic pathology of the Circle of Willis: 0 = none, 1 = mild, 2 = moderate, 3 = severe.

h

Arteriosclerosis: 0 = none, 1 = mild, 2 = moderate, 3 = severe.

*2-tailed t test. **2-sided chi-square test. ***Fisher exact test.

The 22 cases with PSEN1 mutations after codon 200 did not differ in sex or APOE genotype distribution, or disease duration from 24 PSEN1 cases with mutations before codon 200 (Table 4). Those with mutations after codon 200 had higher Braak (6 vs. 5.5, p = 0.024) and CAA (2.4 vs. 1.2, p = 0.001) scores than those with mutations before codon 200. Persons with PSEN1 mutations after codon 200 were more likely to be described as having “ischemic, hemorrhagic, or vascular pathology present” (86.4% vs. 50%, p = 0.02).

TABLE 4.

Neuropathologic Variables That Differed Between PSEN1 Mutation Carriers With Mutations Before or After Codon 200

PSEN1 mutation < 200 (n = 24) PSEN1 mutation > 200 (n = 22) p Values
Gender, number of males 13 (54.2%) 8 (36.4%) 0.25**
Disease duration, years (SD) 8.3 (n = 17, 3.6) 9.9 (n = 21, 4.4) 0.23*
APOE genotypes
3/3 11 (45.8%) 12 (54.5%)
3/4 6 (25.0%) 5 (22.7%) 0.59**
2/3 2 (8.3%) 1 (4.5%)
Unknown 5 (20.8%) 4 (18.1%)
Braak scorea (SD) 5.5 (0.93) 6.0 (0.0) 0.024*
Cerebral amyloid angiopathy scoreb (SD) 1.2 (1.3) 2.4 (0.85) 0.001*
Ischemic, hemorrhagic, or vascular pathology present 11 (n = 22, 50.0%) 19 (86.4%) 0.02**

SD, standard deviation.

a

Braak stage: 0 = no neurofibrillary degeneration present, 1–6 = Braak stages I–VI.

b

Cerebral amyloid angiopathy (CAA): 0 = no CAA present, 1 = mild, 2 = moderate, 3 = severe CAA.

*2-tailed t test. **2-sided chi-square test.

DISCUSSION

In the current study, we verified the increased severity of AD neuropathologic changes in persons dying with ADAD mutations relative to those with sAD of later onset but of similar duration. Neurofibrillary pathology in the form of neurofibrillary tangles and neuritic plaques was increased, although diffuse plaques were not. Despite having a lower frequency of the APOE ϵ4 allele, a known risk factor for CAA, ADAD patients more commonly had more severe degrees of CAA pathology. Finally, we report a novel PSEN1 mutation (P267A) and strong evidence for its pathogenicity.

Consistent with prior reports, we found more aggressive AD pathology in ADAD. It is likely that the misprocessing of APP with resulting aberrant levels of its cleavage products (eg, increased levels of Aβ42 or other Aβ derivatives) is a strong driver of the neuritic plaque formation and tau pathology observed. These indices are more tightly linked to synaptic and neuronal loss, as well as clinical manifestations (32). Despite the higher degree of neuritic plaque and tangle pathology in ADAD, we did not find a difference in the degree of diffuse plaque pathology, suggesting that such plaques are not in the causal pathway to neurodegeneration. The mechanisms through which APP mismetabolism drives neuritic plaque and neurofibrillary tangle formation, however, are incompletely understood as the topographic distribution of neuritic plaques and neurofibrillary tangles differs (33), and there appear to be diverse events leading to neurofibrillary tangle pathology (34, 35), including normal aging (36). The specific differences in APP processing that account for the more aggressive AD pathology seen in ADAD are unclear because qualitative differences have been shown in APP processing between ADAD and sAD (37–39) and even between APP mutations at the same codon (40). Furthermore, additional effects of PSEN1 mutations on γ-secretase activity beyond those on APP processing cannot be excluded (3).

We found greater severity of CAA and increased prevalence of moderate and severe CAA in persons with ADAD mutations. This effect was present despite the facts that sAD subjects were older and had a higher prevalence of the APOE ϵ4 allele, both of which are known risk factors for CAA (23, 41). Although this effect was most dramatic in persons with PSEN1 mutations beyond codon 200, severe CAA was also seen in 5 PSEN1 cases with mutations before codon 200 and in 2 of 4 cases with the N141I PSEN2 mutation (Table 5). It was also seen in 2 of 9 cases with mutations near the γ-secretase site of APP and has been reported in patients with duplication of the APP locus (42) and in Down syndrome (43). This indicates that the effect is not driven solely by APP mutations within the coding region of APP that have been well documented to cause severe CAA, perhaps by virtue of unique effects on Aβ aggregation (10, 44). In our study, a single patient with the E693G APP mutation, which has been shown to be associated with severe CAA (10), had only mild CAA. Although the causes of CAA are not completely understood, defective clearance of Aβ species, particularly of Aβ40, across the endothelium has been proposed as one mechanism (7, 45). Why this would occur in association with ADAD mutations awaits further exploration.

TABLE 5.

Proportion of Cases Showing Severe Cerebral Amyloid Angiopathy (CAA) Among All Mutations in Which at Least 1 Patient Had Severe CAA

PSEN1
Y115C (1/2 cases) G206A (2/6 cases) V261F (1/1 case)
M139V (1/1 case) G209V (1/1 case) P267A (1/1 case)
M146L (1/2 cases) L235V (1/1 case) A431E (4/6 cases)
Y156insFI (1/1 case) T245P (1/2 cases) L435F (1/1 case)
S170F (1/1 case)
APP
V717F (2/4 cases)
PSEN2
N141I (2/4 cases)

Because CAA increases the risk of spontaneous (16) and anticoagulant-related (17) lobar hemorrhage and appears to predispose to ARIA (18), it is important to identify its presence during life to help understand the response and adverse-effect profile of putative antiamyloid therapies. These cases represent late-stage disease, and we do not know at what point CAA develops. Therefore, the relevance of this observation in early stage or secondary prevention trials is unclear. Nonetheless, individual case reports and Table 5 (which documents those ADAD cases in which severe CAA was observed in this study) are helpful in predicting the ultimate presence of CAA.

Not surprisingly, we found a higher prevalence of lacunes, severity of atherosclerosis of the Circle of Willis, and parenchymal arteriosclerosis in sAD versus ADAD. This is likely due to the older age and associated vascular risk factors in sAD and supports these processes as being independent of AD and CAA (46).

Though cases with ADAD had less frequent and severe Lewy body pathology than sAD cases, such pathology was found in 16/59 (27.1%) of ADAD cases; therefore, it was more common than would be expected to occur by chance in the relatively young ADAD population. The presence of Lewy body pathology in ADAD has been characterized in previous case reports and series (47, 48), suggesting it arises from processes downstream of APP mismetabolism. The nature of this interaction is unclear, however, because introduction of a mutant human α-synuclein transgene into an ADAD mouse was found to exacerbate amyloid, tau, and α-synuclein pathologies (49), but a recent study found that intracerebral injection of α-synuclein preparations into APP/PSEN1 transgenic mice inhibited amyloid plaque formation (50). The variable presence of Lewy bodies across persons with the same ADAD mutation suggests that their development is subject to additional factors (47).

In-depth descriptions of ADAD cases have elaborated distinctive neuropathologic features, including atypical amyloid plaque morphology (39) and plaque and tangle distribution (11, 51). Unfortunately, the dataset from which the current observations are derived provided only summary data of typical AD neuropathologic characteristics, and therefore, we were unable to assess these specific features. Furthermore, the NACC neuropathology dataset consists of semiquantitative ratings, and more rigorous quantitative methods (eg, area of Aβ42 positivity) would have enhanced the sensitivity and interpretability of our results.

Another limitation of this study is the comparability of the sAD cases. By design, the sAD cases were, on average, older and therefore had higher degrees of medical comorbidity. Though disease durations were comparable, we cannot exclude the possibility that some sAD patients died at an earlier stage of disease because of these comorbidities, whereas the younger ADAD patients were likely to have died more directly from AD-related complications. Furthermore, while we reduced the genetic contribution to disease in the sAD cases by choosing only subjects whose parents were known to have died after age 65 without dementia, the higher prevalence of the APOE ϵ4 allele in this population nevertheless indicates that a contribution by a genetic risk factor was present in many cases; in other words, they were not truly entirely “sporadic” in nature.

Another weakness of this study was missing data. Although all subjects had the primary neuropathologic variables of interest (neuritic plaque score, Braak staging, and CAA grading), many subjects lacked other variables and APOE genotype. This was particularly true for 12 earlier-enrolled ADAD subjects for whom the age of onset (and therefore disease duration) was missing. Though this was suboptimal, disease duration and APOE genotype were not principal outcomes in this study, and it was necessary to include such cases to achieve the relatively large numbers for the main analyses.

Finally, variability in neuropathologic protocols across ADCs and across the 15-year duration of data collection is a major limitation. For example, the protocols for identifying the presence of microinfarcts and the immunostains and procedures used to identify Lewy bodies have varied over time and between centers. This may account for the lower frequency of microinfarcts in sAD (52) cases and Lewy bodies in ADAD (47, 48) found in our population relative to other studies. Also, relatively recently identified pathological changes of relevance in AD (eg, TDP-43 positivity) were not systematically added to the Uniform Data Set protocol until after the majority of data for this study were collected, thereby precluding our ability to assess such features in ADAD.

In summary, we used the NACC database to identify neuropathologic differences between cases of ADAD and sAD of later onset. We found higher degrees of neuritic plaque and neurofibrillary tangle pathology as well as more extensive and prevalent CAA in ADAD. We replicated the previous finding that persons with PSEN1 mutations beyond codon 200 had a greater severity of neurofibrillary pathology and CAA than those before codon 200. Although Lewy body pathology was less frequent than in sAD, we observed a high frequency of such pathology in ADAD, supporting the view that it is a process at least partly driven by abnormal APP metabolism. Finally, we report a novel pathogenic PSEN1 mutation (P267A). These observations shed light on common and distinct pathways in these etiologically distinct forms of AD and may help us design and interpret future and ongoing therapeutic trials.

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