Preclinical Alzheimer's Disease Cases Research Articles

Plasma Biomarkers of Alzheimer's Disease: A Review of Available Assays, Recent Developments, and Implications for Clinical Practice.

Recently, low-sensitive plasma assays have been replaced by new ultra-sensitive assays such as single molecule enzyme-linked immunosorbent assay (Simoa), the Mesoscale Discovery (MSD) platform, and immunoprecipitation-mass spectrometry (IP-MS) with higher accuracy in the determination of plasma biomarkers of Alzheimer's disease (AD). Despite the significant variability, many studies have established in-house cut-off values for the most promising available biomarkers. We first reviewed the most used laboratory methods and assays to measure plasma AD biomarkers. Next, we review studies focused on the diagnostic performance of these biomarkers to identify AD cases, predict cognitive decline in pre-clinical AD cases, and differentiate AD cases from other dementia. We summarized data from studies published until January 2023. A combination of plasma Aβ42/40 ratio, age, and APOE status showed the best accuracy in diagnosing brain amyloidosis with a liquid chromatography-mass spectrometry (LC-MS) assay. Plasma p-tau217 has shown the best accuracy in distinguishing Aβ-PET+ from Aβ-PET-even in cognitively unimpaired individuals. We also summarized the different cut-off values for each biomarker when available. Recently developed assays for plasma biomarkers have undeniable importance in AD research, with improved analytical and diagnostic performance. Some biomarkers have been extensively used in clinical trials and are now clinically available. Nonetheless, several challenges remain to their widespread use in clinical practice.

Subjective cognitive decline-related worries modulate the relationship between global amyloid load and gray matter volume in preclinical Alzheimer's disease.

Subjective cognitive decline (SCD)-related worries are indicative of an increased risk for developing Alzheimer's disease (AD) dementia. However, the influence of SCD-related worries on the relationship between amyloid and gray matter (GM) atrophy remains unknown. A total of 93 SCD participants underwent 18F-florbetapir PET and T1-weighted MRI scans. SCD individuals were classified into amyloid-positive or amyloid-negative groups based on global amyloid uptake. Three-step statistical analyses were performed: (1) partial correlation analysis was conducted to determine whether global amyloid relates to GM volume in amyloid-positive and amyloid-negative groups; (2) linear regression analysis was conducted to determine whether the interaction term (worries × global amyloid) predicts GM volume; and (3) post hoc subgroup linear regression analysis was conducted to determine the association between amyloid and GM volume in the subgroups with and without worries. Age, sex, education and total intracranial volume were adjusted in all models. We found a negative relationship between global amyloid load and GM volume in the right hemisphere (r = 0.441, p = 0.012) and right temporal cortex (r = 0.506, p = 0.003) in the amyloid-positive group. Moreover, in the amyloid-positive group, a significant worries × amyloid interaction effect on GM volume was found in the bilateral hemisphere (right: pinteraction=0.037; left: pinteraction=0.036), left temporal cortex (pinteraction=0.044) and bilateral frontal cortex (right: pinteraction=0.010; left: pinteraction=0.011). Subsequent post hoc analysis revealed a significant amyloid-GM association only in the subgroup with worries but not in the subgroup without worries. In preclinical AD cases, SCD-related worries may occur as a symptom in those cases where amyloid affects GM to a greater extent and may thus represent a high-risk population for future cognitive decline.

Retinal layer thickness in preclinical Alzheimer's disease.

PurposeThere is urgent need for non‐invasive diagnostic biomarkers in the preclinical phase of Alzheimer's Disease (AD). Several studies suggest that retinal thickness is reduced in AD. Here, we aim to test the diagnostic value of retinal thickness in preclinical AD, as defined by cognitively normal individuals with amyloid pathology on PET.MethodsOne hundred and sixty five cognitively healthy monozygotic twins aged ≥ 60 were included from the Netherlands Twin Register taking part in the European Medical Information Framework for Alzheimer's Disease PreclinAD study. Participants underwent [18F] flutemetamol PET that was visually rated for presence or absence of cortical amyloid beta (Aβ). Binding potential (BPND) was calculated as continuous measure for Aβ. Spectral Domain OCT was used to asses total and individual inner retinal layer thickness in the macular region (ETDRS circles) as well as peripapillary retinal nerve fibre layer (pRNFL) thickness. Differences between Aβ+ and Aβ− individuals and associations between BPND and retinal thickness were analyzed.ResultsNo differences were found in retinal layer thickness in the macula or pRNFL between Aβ+ and Aβ− individuals. A positive associations between BPND and macular total retinal thickness was observed in the inner ring (p = 0.018), but this was not statistically significant after correction for multiple testing (p = 0.144). Brain/eye parameters had moderate to high intra‐twin correlations (p < 0.001) except visual rating score of Aβ, which did not correlate (r = 0.21, p = 0.068).ConclusionVariation in retinal thickness likely reflects genetic differences between individuals, but cannot discriminate between healthy and preclinical AD cases, making its use as biomarker in these early stages limited.

Hippocampal and Amygdala Gray Matter Loss in Elderly Controls with Subtle Cognitive Decline.

In contrast to the idea that hippocampal and amygdala volume loss occur in late phases of neurodegeneration, recent contributions point to the relevance of preexisting structural deficits that are associated with aging and are independent of amyloid deposition in preclinical Alzheimer disease cases. The present work explores GM hippocampal and amygdala volumes in elderly controls displaying the first signs of cognitive decline. 455 subjects (263 females), including 374 controls (228 females) and 81 middle cognitive impairment subjects (35 females), underwent two neuropsychological evaluations (baseline and 18 months follow-up) and a MRI-T1 examination (only baseline). Clinical assessment included Mini-Mental State Examination (MMSE), Clinical Dementia Rating scale, Hospitalized Anxiety and Depression scale, the Consortium to Establish a Registry for Alzheimer’s Disease neuropsychological battery and RI-48 Cued Recall Test (RI-48) for episodic memory. Based on their cognitive performance, we defined the controls as stable controls (sCON) and deteriorating controls (dCONs). Analyses included volumetric assessment, shape analyses and linear regressions between GM volume loss and differences in clinical scores between baseline and follow-up. Significant GM volume decrease in hippocampus bilaterally and right amygdala was found in dCON compared to sCON (p < 0.05). Lower right amygdala volumes were measured in mild cognitive impairment (MCI) compared to sCON (p < 0.05). Shape analyses revealed that atrophy was more pronounced at the superior- posterior lateral side of the hippocampus and amygdala. Significant correlations were found between GM volume of left hippocampus and the delta of MMSE and RI-48 scores in dCON and MCI groups separately. Decreased hippocampal and right amygdala volumes precede the first signs of cognitive decline in healthy elderly controls at the pre-MCI state. Left hippocampus volume may also predict short-term changes of overall cognition in these vulnerable cases.

Plasma concentrations of free amyloid β cannot predict the development of Alzheimer's disease

IntroductionBiomarkers that identify individuals at risk of Alzheimer's disease (AD) development would be highly valuable. Plasma concentration of amyloid β (Aβ)—central in the pathogenesis of AD—is a logical candidate, but studies to date have produced conflicting results on its utility. MethodsPlasma samples from 339 preclinical AD cases (76.4% women, mean age 61.3 years) and 339 age- and sex-matched dementia-free controls, taken an average of 9.4 years before AD diagnosis, were analyzed using Luminex xMAP technology and INNO-BIA plasma Aβ form assays to determine concentrations of free plasma Aβ40 and Aβ42. ResultsPlasma concentrations of free Aβ40 and Aβ42 did not differ between preclinical AD cases and dementia-free controls, in the full sample or in subgroups defined according to sex and age group (<60 and ≥ 60 years). The interval between sampling and AD diagnosis did not affect the results. Aβ concentrations did not change in the years preceding AD diagnosis among individuals for whom longitudinal samples were available. DiscussionPlasma concentrations of free Aβ could not predict the development of clinical AD, and Aβ concentrations did not change in the years preceding AD diagnosis in this sample. These results indicate that free plasma Aβ is not a useful biomarker for the identification of individuals at risk of developing clinical AD.

Spreading of amyloid, tau, and microvascular pathology in Alzheimer's disease: findings from neuropathological and neuroimaging studies.

Primary pathologies including amyloid-β (Aβ) plaques and neurofibrillary tangles (NFT) develop many years before the onset of dementia symptoms in Alzheimer's disease (AD). Age-related small vessel disease (SVD) is common in elderly subjects and may contribute to the clinical syndrome of AD. Each type of pathology shows a specific spatio-temporal sequence of spreading in the brain. Here, we review neuropathological and neuroimaging findings (PET tracers of Aβ and NFT, MRI markers of SVD) to assess whether staging of these primary pathologies is useful to predict clinical symptoms in AD. On the basis of neuropathological data, early stages of Aβ plaque and NFT pathology distribution occur in preclinical AD, but advanced stages with spreading into further brain regions are associated with dementia symptoms. Amyloid PET presumably detects Aβ in advanced neuropathological Aβ stages, and increased global amyloid PET uptake is associated with clinical worsening in non-demented subjects. Tau PET may provide additional predictive value by detecting NFT in the allocortex. There is weak evidence that SVD is related to amyloid or NFT pathology. Global volume of MRI-assessed white matter hyperintensities (WMH) contribute in addition to biomarker levels of Aβ to predict cognitive decline. Regional differences of the effect of WMH on cognition have been demonstrated but are not yet established as a biomarker in AD. In conclusion, biomarkers for amyloid and tau pathology allow a distinction between early and advanced stages of AD, but a subgroup of pathologically identified preclinical AD cases is not identified by the currently available biomarkers.

Intrinsic Brain Activity of Cognitively Normal Older Persons Resembles More That of Patients Both with and at Risk for Alzheimer's Disease Than That of Healthy Younger Persons

In Alzheimer's disease (AD), recent findings suggest that amyloid-β (Aβ)-pathology might start 20-30 years before first cognitive symptoms arise. To account for age as most relevant risk factor for sporadic AD, it has been hypothesized that lifespan intrinsic (i.e., ongoing) activity of hetero-modal brain areas with highest levels of functional connectivity triggers Aβ-pathology. This model induces the simple question whether in older persons without any cognitive symptoms intrinsic activity of hetero-modal areas is more similar to that of symptomatic patients with AD or to that of younger healthy persons. We hypothesize that due to advanced age and therefore potential impact of pre-clinical AD, intrinsic activity of older persons resembles more that of patients than that of younger controls. We tested this hypothesis in younger (ca. 25 years) and older healthy persons (ca. 70 years) and patients with mild cognitive impairment and AD-dementia (ca. 70 years) by the use of resting-state functional magnetic resonance imaging, distinct measures of intrinsic brain activity, and different hierarchical clustering approaches. Independently of applied methods and involved areas, healthy older persons' intrinsic brain activity was consistently more alike that of patients than that of younger controls. Our result provides evidence for larger similarity in intrinsic brain activity between healthy older persons and patients with or at-risk for AD than between older and younger ones, suggesting a significant proportion of pre-clinical AD cases in the group of cognitively normal older people. The observed link of aging and AD with intrinsic brain activity supports the view that lifespan intrinsic activity may contribute critically to the pathogenesis of AD.

Biochemical stages of amyloid-β peptide aggregation and accumulation in the human brain and their association with symptomatic and pathologically preclinical Alzheimer’s disease

Alzheimer's disease is characterized by the deposition of amyloid-β peptide in the brain. N-terminal truncation resulting in the formation of AβN3pE and phosphorylation at serine 8 have been reported to modify aggregation properties of amyloid-β. Biochemically, soluble, dispersible, membrane-associated, and insoluble, plaque-associated amyloid-β aggregates have been distinguished. Soluble and dispersible amyloid-β aggregates are both in mixture with the extracellular or intracellular fluid but dispersible aggregates can be cleared from proteins in solution by ultracentrifugation. To clarify the role of phosphorylated amyloid-β and AβN3pE in soluble, dispersible, membrane-associated, and plaque-associated amyloid-β aggregates in the pathogenesis of Alzheimer's disease we studied brains from 21 cases with symptomatic Alzheimer's disease, 33 pathologically preclinical Alzheimer's disease cases, and 20 control cases. Western blot analysis showed that soluble, dispersible, membrane-associated and plaque-associated amyloid-β aggregates in the earliest preclinical stage of Alzheimer's disease did not exhibit detectable amounts of AβN3pE and phosphorylated amyloid-β. This stage was referred to as biochemical stage 1 of amyloid-β aggregation and accumulation. In biochemical amyloid-β stage 2, AβN3pE was additionally found whereas phosphorylated amyloid-β was restricted to biochemical amyloid-β stage 3, the last stage of amyloid-β aggregation. Phosphorylated amyloid-β was seen in the dispersible, membrane-associated, and plaque-associated fraction. All cases with symptomatic Alzheimer's disease in our sample fulfilled biochemical amyloid-β stage 3 criteria, i.e. detection of phosphorylated amyloid-β. Most, but not all, cases with pathologically preclinical Alzheimer's disease had biochemical amyloid-β stages 1 or 2. Immunohistochemistry confirmed the hierarchical occurrence of amyloid-β, AβN3pE, and phosphorylated amyloid-β in amyloid plaques. Phosphorylated amyloid-β containing plaques were, thereby, seen in all symptomatic cases with Alzheimer's disease but only in a few non-demented control subjects. The biochemical amyloid-β stages correlated with the expansion of amyloid-β plaque deposition and with that of neurofibrillary tangle pathology. Taken together, we demonstrate that AβN3pE and phosphorylated amyloid-β are not only detectable in plaques, but also in soluble and dispersible amyloid-β aggregates outside of plaques. They occur in a hierarchical sequence that allows the distinction of three stages. In light of our findings, it is tempting to speculate that this hierarchical, biochemical sequence of amyloid-β aggregation and accumulation is related to disease progression and may be relevant for an increasing toxicity of amyloid-β aggregates.

Altered synapses and gliotransmission in Alzheimer's disease and AD model mice

Amyloid-β (Aβ) plaque accumulation in Alzheimer's disease (AD) is associated with glutamatergic synapse loss, but less is known about its effect on inhibitory synapses. Here, we demonstrate that vesicular γ-aminobutyric acid (GABA) transporter (VGAT) presynaptic bouton density is unaffected in human preclinical and end-stage AD and in APP/PS1 transgenic (TG) mice. Conversely, excitatory vesicular glutamate transporter 1 (VGlut1) boutons are significantly reduced in end-stage AD cases and less reduced in preclinical AD cases and TGs. Aged TGs also show reduced protein levels of VGlut1 and synaptophysin but not VGAT or glutamate decarboxylase (GAD). These findings indicate that GABAergic synapses are preserved in human AD and mouse TGs. Synaptosomes isolated from plaque-rich TG cortex had significantly higher GAD activity than those from plaque-free cerebellum or the cortex of wild-type littermates. Using tissue fractionation, this increased activity was localized to glial synaptosomes, suggesting that Aβ plaques stimulate increased astrocyte GABA synthesis.

Increasing the Diagnostic Accuracy of Medial Temporal Lobe Atrophy in Alzheimer's Disease

Medial temporal lobe (MTL) atrophy is considered to be one of the most important predictors of Alzheimer's disease (AD). This study investigates whether atrophy in parietal and prefrontal areas increases the predictive value of MTL atrophy in three groups of different cognitive status. Seventy-five older adults were classified as cognitively stable (n = 38) or cognitively declining (n = 37) after three years follow-up. At follow-up, the grey matter of the MTL, inferior prefrontal cortex (IPC), and inferior parietal lobule (IPL) was delineated on MRI scans. Six years later, a dementia assessment resulted in distinguishing and separating a third group (n = 9) who can be considered as preclinical AD cases at scan time. Ordinal logistic regressions analysis showed that the left and right MTL, as well as the right IPC and IPL accurately predicted group membership. Receiver Operating Curves showed that the MTL was best in distinguishing cognitively stable from cognitively declining individuals. The accuracy of the differentiation between preclinical AD and cognitively stable participants improved when MTL and IPL volumes were combined, while differentiating preclinical AD and cognitively declined participants was accomplished most accurately by the combined volume of all three areas. We conclude that depending on the current cognitive status of an individual, adding IPL or IPC atrophy improved the accuracy of predicting conversion to AD by up to 22%. Diagnosis of preclinical AD may lead to more false positive outcomes if only the MTL atrophy is considered.

Focal demyelination in Alzheimer’s disease and transgenic mouse models

We have investigated alterations in myelin associated with Abeta plaques, a major pathological hallmark of Alzheimer's disease (AD), in human tissue and relevant transgenic mice models. Using quantitative morphological techniques, we determined that fibrillar Abeta pathology in the grey matter of the neocortex was associated with focal demyelination in human presenilin-1 familial, sporadic and preclinical AD cases, as well as in two mouse transgenic models of AD, compared with age-matched control tissue. This demyelination was most pronounced at the core of Abeta plaques. Furthermore, we found a focal loss of oligodendrocytes in sporadic and preclinical AD cases associated with Abeta plaque cores. In human and transgenic mice alike, plaque-free neocortical regions showed no significant demyelination or oligodendrocyte loss compared with controls. Dystrophic neurites associated with the plaques were also demyelinated. We suggest that such plaque-associated focal demyelination of the cortical grey matter might impair cortical processing, and may also be associated with aberrant axonal sprouting that underlies dystrophic neurite formation.

Early symptoms and signs of cognitive deficits might not always be detectable in persons who develop Alzheimer's disease

Clinical syndromes such as amnestic mild cognitive impairment (MCI) are highly predictive of future development of Alzheimer's disease (AD), but it is not known how many of the individuals that develop the disease can be identified with these syndromes. This study aims to determine how many individuals with AD show detectable symptoms or clinical signs of cognitive deficits three years before diagnosis. 152 incident AD cases were identified in a dementia-free cohort of 1417 persons aged 75-95, after three-year follow-up from a prospective population-based study, the Kungsholmen Project. Symptoms of cognitive impairment including the subjective report of memory problems, and cognitive deficits were objectively measured with an extensive neuropsychological test battery at baseline. Incident AD was clinically diagnosed according to DSM-IIIR criteria at three-year follow-up. Only half of future AD cases reported subjective memory problems three years before diagnosis. More than one-third of incident AD cases did not exhibit detectable deficits in any of the investigated specific cognitive domains. Only 38.3% had both subjective complaints and domain-specific cognitive deficits. Symptoms and signs currently used to define MCI are not always present in persons who develop AD. Increasing the number of potentially identifiable and treatable preclinical AD cases is unfeasible unless more sensitive subjective and objective markers are identified. Furthermore, as only half of future AD cases report subjective memory problems three years before diagnosis, the number of persons coming to the attention of medical care is limited.

Cognitive impairment in preclinical Alzheimer's disease: A meta-analysis.

To determine the size of the impairment across different cognitive domains in preclinical Alzheimer's disease (AD), a meta-analysis based on 47 studies involving 9,097 controls and 1,207 preclinical AD cases was conducted. There were marked preclinical deficits in global cognitive ability, episodic memory, perceptual speed, and executive functioning; somewhat smaller deficits in verbal ability, visuospatial skill, and attention; and no preclinical impairment in primary memory. Younger age (< 75 years) and shorter follow-up intervals (< 3 years) were associated with larger effect sizes for both global cognitive ability and episodic memory. For global cognitive ability, studies that used population-based sampling yielded larger effect sizes; for episodic memory, larger differences were seen in studies that preidentified groups in terms of baseline cognitive impairment. Within episodic memory, delayed testing and recall-based assessment resulted in the largest effect sizes. The authors conclude that deficits in multiple cognitive domains are characteristic of AD several years before clinical diagnosis. The generalized nature of the deficit is consistent with recent observations that multiple brain structures and functions are affected long before the AD diagnosis.

α-Internexin immunoreactivity reflects variable neuronal vulnerability in Alzheimer's disease and supports the role of the β-amyloid plaques in inducing neuronal injury

This study investigated the role of alpha-internexin in the neuronal alterations associated with beta-amyloid plaque formation in Alzheimer's disease (AD). Cortical neurons could be defined by their variable content of neurofilament (NF) triplet and alpha-internexin proteins, with a distinct population of supragranular pyramidal cells containing alpha-internexin alone. Both NF triplet and alpha-internexin were localized to reactive axonal structures in physically damaged neurons in experimental trauma models. Similarly, NF triplet and alpha-internexin immunoreactive neurites were localized to plaques densely packed with beta-amyloid fibrils in preclinical AD cases, indicating that certain plaques may cause structural injury or impediment of local axonal transport. However, alpha-internexin, and not NF triplet, ring-like reactive neurites were present in end-stage AD cases, indicating the relatively late involvement of neurons that selectively contain alpha-internexin. These results implicate the expression of specific intermediate filament proteins in a distinct hierarchy of differential neuronal vulnerability to AD.

Multiple cognitive deficits during the transition to Alzheimer's disease.

The literature on cognitive markers in preclinical AD is reviewed. The findings demonstrate that impairment in multiple cognitive domains is typically observed several years before clinical diagnosis. Measures of executive functioning, episodic memory and perceptual speed appear to be most effective at identifying at-risk individuals. The fact that these cognitive domains are most implicated in normal cognitive aging suggests that the cognitive deficit observed preclinically is not qualitatively different from that observed in normal aging. The degree of cognitive impairment prior to the diagnosis of Alzheimer's disease (AD) appears to generalize relatively well across major study characteristics, including sample ascertainment procedures, age and cognitive status of participants, as well as time to diagnosis of dementia. In episodic memory, there is evidence that the size of the preclinical deficit increases with increasing cognitive demands. The global cognitive impairment observed is highly consistent with observations that multiple brain structures and functions are affected long before the diagnosis of AD. However, there is substantial overlap in the distribution of cognitive scores between those who will and those who will not be diagnosed with AD, hence limiting the clinical utility of cognitive markers for early identification of cases. Future research should consider combining cognitive indicators with other types of markers (i.e. social, somatic, genetic, brain-based) in order to increase prediction accuracy.

Morphologically distinct plaque types differentially affect dendritic structure and organisation in the early and late stages of Alzheimer's disease.

We have investigated the effects of the deposition of insoluble beta-amyloid plaques on dendritic morphology within the neocortex. Labelling for beta-amyloid identified three morphologically distinct plaque types present both within the brains of preclinical Alzheimer's disease (AD) and end-stage AD cases. In both preclinical and end-stage AD, the percentage area occupied by diffuse plaques contained a greater density of labelling for microtubule-associated protein-2 (MAP2) relative to the surrounding neuropil (case type, ratio of MAP2 labelling in plaque to MAP2 labelling in surrounding neuropil +/- SEM: preclinical, 1.27+/-0.04; end-stage, 1.32+/-0.05). In contrast, there was a greater density of MAP2-labelled processes surrounding dense-cored plaques compared to that found within the plaque area (preclinical, 0.73+/-0.05; end-stage, 0.62+/-0.07). Fibrillar plaques demonstrated a transition from the early to late stages of AD, with a substantial decrease in the density of MAP2 labelling within the plaque area in end-stage AD cases relative to preclinical AD cases (preclinical, 1.01+/-0.1; end-stage, 0.72+/-0.05). The morphology of dendrites associated with dense-core or fibrillar plaques suggest physical disruption of the neuropil by beta-amyloid plaque formation. These data demonstrate that plaque isoforms differentially affect dendritic morphology in both the early and late stages of AD, with progression to clinical AD associated with evolving dendritic damage localised to fibrillar and dense-core plaques.

Increased Density of Metallothionein I/II-Immunopositive Cortical Glial Cells in the Early Stages of Alzheimer's Disease

We have examined the possible role of metallothionein I/II (MT I/II) in Alzheimer's disease (AD), with a focus on the cellular localization of MT I/II relative to the astrocyte marker, glial fibrillary acidic protein (GFAP). In AD and preclinical AD cases, MT I/II immunolabeling was present in glial cells and did not show a spatial relationship with β-amyloid plaques or neurofibrillary pathology. There was a six- to sevenfold increase in both MT I/II- and GFAP-labeled cells in the gray matter of AD cases, relative to non-AD cases. However, there was a threefold increase in MT I/II-immunoreactive cells, but not GFAP-labeled cells, in the gray matter of preclinical AD cases compared to non-AD cases. Therefore, the specific increase in MT I/II is associated with the initial stages of the disease process, perhaps due to oxidative stress or the mismetabolism of heavy metals.

Relationship between apolipoprotein E and the amyloid deposits and dystrophic neurites of Alzheimer's disease.

Although the inheritance of certain apolipoprotein E (ApoE) alleles has been recognized as a genetic risk factor for Alzheimer's disease, the role of ApoE in the pathology underlying this disease is unclear. Several reports have emphasized the association of ApoE with either beta-amyloid plaque formation or the development of neurofibrillary pathology. Utilization of multiple label immunohistochemical methods enabled us to examine directly the localization of ApoE immunoreactivity relative to beta-amyloid plaques, dystrophic neurites and neurofibrillary tangles. In Alzheimer's disease cases, beta-amyloid plaques showing high ApoE immunoreactivity were localized to layers II, III and V of the neocortex. In layer I, beta-amyloid plaques were unlabelled for ApoE relative to beta-amyloid. Dense core plaques labelled for beta-amyloid often had only the central portions labelled for ApoE. Conversely, ApoE labelled spherical structures within some plaques were not immunoreactive for beta-amyloid or dystrophic neurite markers. Unlike beta-amyloid labelled plaques, all ApoE immunoreactive plaques were associated with dystrophic neurites. In preclinical Alzheimer's disease cases, most plaques were double labelled for beta-amyloid and ApoE. ApoE did not label dystrophic neurites or the early stages of neurofibrillary tangle formation, indicating that ApoE may not be directly involved in neurofibrillary pathology. The specific presence of ApoE in plaques associated with dystrophic neurites in demented patients suggests that ApoE may contribute toward a higher degree of beta-amyloid fibrillogenesis, enhancing the ability of certain plaques to cause damage to surrounding axons.