Background: The neurobiological changes underlying the association of the apolipoprotein E (APOE) e4 allele with level of cognition are poorly understood.
Objective: To test the hypothesis that amyloid load can account for (mediate) the association of the APOE e4 allele with level of cognition assessed proximate to death.
Methods: There were 44 subjects with clinically diagnosed Alzheimer’s disease and 50 without dementia, who had participated in the Religious Orders Study. They underwent determination of APOE allele status, had comprehensive cognitive testing in the last year of life, and brain autopsy at death. The percentage area of cortex occupied by amyloid beta and the density of tau positive neurofibrillary tangles were quantified from six brain regions and averaged to yield summary measures of amyloid load and neurofibrillary tangles. Multiple regression analyses were used to examine whether amyloid load could account for the effect of allele status on level of cognition, controlling for age, sex, and education.
Results: Possession of at least one APOE e4 allele was associated with lower level of cognitive function proximate to death (p = 0.04). The effect of the e4 allele was reduced by nearly 60% and was no longer significant after controlling for the effect of amyloid load, whereas there was a robust inverse association between amyloid and cognition (p = 0.001). Because prior work had suggested that neurofibrillary tangles could account for the association of amyloid on cognition, we next examined whether amyloid could account for the effect of allele status on tangles. In a series of regression analyses, e4 was associated with density of tangles (p = 0.002), but the effect of the e4 allele was reduced by more than 50% and was no longer significant after controlling for the effect of amyloid load.
Conclusion: These findings are consistent with a sequence of events whereby the e4 allele works through amyloid deposition and subsequent tangle formation to cause cognitive impairment.
- AD, Alzheimer’s disease
- APOE, apolipoprotein E
- DMSO, dimethyl sulphoxide
- PHF, paired helical filament
- Alzheimer’s disease
- cognitive function
- religious orders study
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Alzheimer’s disease (AD) is a complex disease with multiple genetic and environmental risk factors. To cause cognitive impairment, these risk factors must interact with the types, quantities, and distributions of pathological lesions in the brain. For example, it is likely that some risk factors cause cognitive impairment by enhancing amyloid production or fibrillogenesis, decreasing amyloid clearance, or by enhancing tau phosphorylation. As AD pathology often coexists with other common age related pathology that also contributes to cognitive impairment, such as cerebral infarcts and Lewy bodies,1 it is likely that other risk factors cause cognitive impairment by increasing the number or density of these pathological lesions. Finally, it is likely that still other risk factors lead to cognitive impairment by causing neurodegenerative changes independent of the pathological makers of common age related diseases. Understanding the neurobiology that links risk factors to cognitive impairment has important implications for disease treatment and prevention.
The presence of one or more apolipoprotein E (APOE) e4 alleles is a major genetic risk factor for AD.2–4 The neurobiological changes in the brain that account for the association of allele status with disease risk remain poorly understood. Some clinicopathological studies report an association between the e4 allele and neuritic plaques and neurofibrillary tangles,5–7 although other studies did not find this association.8,9 Several studies also report a relationship between the e4 allele and amyloid deposition,10–16 raising the possibility that amyloid deposition accounts for the association of allele status with cognitive function.
We used data from the Religious Orders Study, a longitudinal clinicopathological study of aging and AD, to investigate whether amyloid mediates the association of APOE allele status with level of cognition. The term “mediate” is used here in the statistical sense, and refers to accounting for the association between allele status and cognition by controlling for amyloid in a regression model. These types of analyses are increasingly being used in behavioural and epidemiological studies in an effort to go beyond simple associations and investigate potential intermediate steps in a causal chain that link risk factors to adverse clinical outcomes.17,18 In this case, it addresses the extent to which amyloid deposition represents a key step in the causal chain linking allele status with cognitive impairment. The approach is similar to identifying mediating factors that account for the association between hypertension and ischemic stroke. For example, one mechanism by which hypertension leads to stroke is cerebral atherosclerosis. It would be expected that a change in the relationship between hypertension and stroke would be observed after controlling for carotid atherosclerosis in an analysis, as atherosclerosis is an important link in the causal chain. We have used these types of analyses to investigate how postmortem indices work together19,20 and with a variety of risk factors21–25 to lead to cognitive impairment.
We previously reported that measures of plaques and tangles identified with a silver stain mediated the association of allele status to level of cognition.21 However, because silver stains are neither as sensitive as immunohistochemistry nor as protein specific, these measurements are not ideally suited to addressing the extent to which the association of the e4 allele with cognition can be accounted for by amyloid deposition. The analyses in this study followed a similar structure. We first documented the association of allele status to level of cognition proximate to death. We subsequently tested the hypothesis that amyloid mediates the association of allele status with cognition by adding a term for amyloid to the model. If amyloid is an important mediating variable, the association between allele status and level of cognition should be reduced. If allele status was related to cognition through some other mechanism, then adding a term for amyloid to the model would not influence its association with cognition. As we previously provided evidence that tangles mediate the association of amyloid on cognition,19 we next conducted a similar set of analyses to determine whether amyloid mediated the effect of allele status on tangles. Together, these analyses should provide evidence in favour of or against a sequence of events whereby e4 works through amyloid deposition and subsequent tangle formation to cause cognitive impairment, as outlined in fig 1. We are unaware of any prior study that has examined the joint effect of allele status and amyloid deposition on level of cognition assessed proximate to death.
Subjects were older Catholic nuns, priests, and monks participating in the Religious Orders Study (see Acknowledgements). Each participant agreed to an annual clinical evaluation and signed an informed consent and an Anatomical Gift Act donating their brain to Rush investigators at the time of death. The study was approved by the Human Investigations Committee of Rush University Medical Center. Since January 1994, more than 1000 people have enrolled in the study and completed the baseline evaluation. Participation in the annual follow up evaluations exceeds 95% of survivors, and the autopsy rate exceeds 90%.26,27
All subjects underwent a uniform structured clinical evaluation that included a medical history, neurological examination, review of a brain scan when available, and 21 cognitive performance tests (see below). Results of the cognitive tests were reviewed by a board certified neuropsychologist, and participants were evaluated in person by a physician with expertise in the evaluation of older people. Based on this evaluation, participants were classified with respect to AD and other common conditions with the potential to impact cognitive function. Details of the clinical evaluation have been previously described.20,26,27 Follow up evaluations, identical in all essential details, were performed annually by examiners blinded to previously collected data. At the time of death, all available clinical data were reviewed and a summary diagnostic opinion was rendered regarding the most likely clinical diagnosis at the time of death.
The 21 cognitive performance tests assessed a broad range of cognitive abilities that are commonly affected by aging and AD. Details of the cognitive tests have been previously reported.26,27 A global cognitive summary measure was used in analyses to minimise floor and ceiling effects and other sources of measurement error. It was constructed by converting the raw scores from 19 individual tests to z scores, using the mean and standard deviation from the baseline evaluation of all participants, and averaging the z scores. To have a valid summary score, at least half of the component scores had to be present. Details of the individual cognitive tests and the derivation of the summary measure has been previously reported.26,27
Apolipoprotein E genotyping
Blood was collected at each participating Religious Order Study site with acid citrate dextrose anticoagulant and stored at room temperature. Lymphocyte separation was performed within 24 hours of collection. DNA was extracted from approximately 2–3 million cells, and genotyping was performed by an investigator blinded to all clinical and postmortem data as previously described.21
Tissue preparation and immunocytochemistry
Brains of deceased subjects were removed and weighed in a standard fashion as described previously.19–21 Each brain was cut coronally into 1 cm thick coronal slabs, immersion fixed in 4% paraformaldehyde, and placed in graded glycerol/dimethylsulphoxide (DMSO) in phosphate buffered saline for storage with final dilutions being 20% glycerol and 2% DMSO. Tissue from six regions of interest was dissected into 0.5 cm thick blocks and embedded in paraffin. For the entorhinal cortex proper and the CA1/subiculum, 20 μm sections were cut from consecutive 1 cm slabs throughout its length (up to six blocks per case). For the four neocortical regions, including the midfrontal, inferior temporal, inferior parietal, and primary visual cortices, two blocks were obtained from adjacent 1 cm slabs and cut into 20 μm sections.
Amyloid-β was labelled with MO0872, (1:100; Dako, Carpentaria, CA, USA) using diaminobenzidine as the reporter with 2.5% nickel sulphate to enhance immunoreaction product contrast as previously reported.19 MO0872 identifies both the 1–40 and 1–42 length amyloid fragments. All sections were run using identical incubation times on an automated immunohistochemical stainer (Biogenex, San Ramon, CA, USA). All runs included control sections processed without primary antibodies. A systematic random sampling scheme was used to capture images for quantitative analysis of amyloid deposition as previously described.28 Briefly, after camera and illumination calibration, 24 bit colour images obtained at each sampling site were obtained and converted to 8 bit greyscale images. Calculation of the percentage area occupied by amyloid-β immunoreactive pixels was performed with Object-Image 1.62p15 (http://simon.bio.uva.nl/object-image.html). The analysis algorithm segmented the labelled and background compartments of each image using one of two histogram dependent automatic thresholding procedures, iterative self organising data analysis (ISODATA) and triangulation.29 A composite summary measure of the percentage area occupied by amyloid-β was made by averaging the values for all regions as previously reported.19
Paired helical filament (PHF) tau was labelled with AT8 (1:800 in 4% horse serum; Innnogenex, San Ramon, CA, USA), an antibody specific for phosphorylated tau as described previously.19,28,30 Neurofibrillary tangles labelled with AT8 have a characteristic appearance and location in the neuronal cell body or as “ghost tangles”. All sections were run using identical incubation times on an automated immunohistochemical stainer (Biogenex, San Ramon, CA, USA) in precisely timed runs. All runs included control sections processed without primary antibody. Quantification of tangle density per mm2 was performed with a stereological mapping station, which included a Leica DMRBE microscope and a computer (Millennia Mme, Micron Electronic Inc., USA) equipped with StereoInvestigator software (version 5.00; MicroBrightField Inc., Colchester, VT, USA). Briefly, a grid of pre-determined size was randomly placed over the entire region by the software program. At a total magnification of 400, the program directed the motorised stage on the microscope to stop at each intersection point of the grid for sampling. The operator focused through the section depth as the fields were visualised on the video monitor within the superimposed counting frame. All objects within the 150×150 μm counting frame that did not touch the exclusion lines of the box (bottom and left sides) were counted. A composite summary measure of the density of tangles was made by averaging the values for all regions as previously reported.19
The goal of the statistical analyses was to determine whether amyloid mediates the effect of APOE allele status on level of cognition proximate to death. Once a relationship between two variables such as allele status (the independent variable) and level of cognition (the dependent variable) is established, a mediation hypothesis reflects a causal hypothesis about how a third variable, in this case amyloid, affects their association.17,18 In general, the third variable can affect the association in one of three ways. It can moderate the association such that an observed relationship may be different at different levels of a third variable (effect modification or interaction), it can mediate the association such that controlling for the third variable can attenuate the effect of the independent variable, or it can confound the association. Mediation and confounding are identical statistically, but can be distinguished on conceptual grounds.17,18 In this case, as the association between allele status and cognition is well established, as is the association of measures of AD pathology with cognition, and as allele status precedes the accumulation of AD pathology, and as evidence from a variety of sources supports a biologically plausible hypothesis linking allele status to amyloid, the results are unlikely to be due to confounding.
A series of multiple regression analyses was conducted to test the hypothesised sequence presented in fig 1. Participants were divided into two APOE subgroups: those with one or more e4 alleles (e2/4, e3/4, e4/4) and those without any e4 alleles (e2/2, e2/3, e3/3). The first analysis documented the association of allele status with level of cognition. We then conducted a second analysis in which we included a term for amyloid load in the regression model to see if it reduced the affect of allele status on cognition as hypothesised. If our hypothesis is correct, we would expect that the association of the e4 allele with cognition would be reduced after controlling for amyloid. Because we previously provided evidence that tangles mediate the association of amyloid to cognition,19 we hypothesised that amyloid would mediate the association of allele status with tangles. Therefore, we next examined the association of allele status with tangles. In a second regression model, we added a term for amyloid to see if it reduced the association of the e4 allele with tangles. We also conducted a similar set of analyses in which tangles were added to a model examining amyloid as a function of allele status. If our hypothesis is correct, we would expect that the association of the e4 allele with tangles would be attenuated by inclusion of amyloid in the model. By contrast, the association of the e4 allele with amyloid would remain significant after controlling for tangles. All regression models controlled for the potentially confounding effects or age, sex, and education. We have previously used this analytic approach to examine how pathological variables work in concert19,20 and with risk factors21–25 to cause cognitive impairment. Models were validated both graphically and analytically, and the assumptions were not violated despite some pathological indices being skewed. All analyses were carried out using SAS/STAT software (version 8; SAS Institute Inc., Cary, NC, USA) on a SunUltraSparc workstation.31
Of the 94 four deceased participants in these analyses (40 men, 54 women), 44 met clinical criteria for probable AD and 50 did not have dementia. Subjects with AD were older, had slightly fewer years of education, and had lower scores on the MMSE32 and on the measure of global cognitive function proximate to death (table 1). One or more e4 alleles were found in 28 (29.8%) of the subjects including three with e2/4, 22 with e3/4, and three with e4/4; the remaining 66 did not have a e4 allele (seven with e2/3 and 59 with e3/3). The median interval from the last clinical evaluation to brain autopsy was about 8 months. Subjects with AD had about twice as much amyloid and nearly four times as many tangles as those without AD (table 1).
Amyloid mediates the association of the e4 allele to level of cognition
We first documented the relation of the APOE e4 allele to level of global cognition proximate to death. In a linear regression model controlling for age, sex, and education, the presence of one or more e4 alleles was associated with cognitive function score of almost half unit lower (p = 0.04) (table 2, model 1). When we repeated the analysis with a term for amyloid load added to the model, the effect of the e4 allele was reduced by nearly 60% and was no longer significant, whereas amyloid had a robust association with cognitive impairment (p = 0.001) (table 2, model 2). These data are consistent with a sequence of events whereby amyloid deposition accounts for the association of the e4 allele with cognitive function.
Amyloid mediates the association of the e4 allele to tangles
We previously reported that tau positive neurofibrillary tangles mediate the association of amyloid with cognition.19 If amyloid mediates the relation of the e4 allele with cognitive function, then we hypothesised that it would also mediate the association of allele status with tangles as suggested by the hypothesised sequence outlined in fig 1. To test this hypothesis, we first examined the density of tangles as a function of the e4 allele adjusting for age, sex, and education. In these analyses, the presence of one or more e4 alleles was associated with having approximately seven more tangles per mm2 (p = 0.002) (table 3, model 1). When we repeated the analysis with a term for amyloid load added to the model, the effect of the e4 allele was reduced by more than 50% and was no longer significant, whereas amyloid had a robust association with tangles (p<0.001). To ensure that the finding was most consistent with the hypothesised sequence, we next considered the opposite sequence, namely that tau tangles mediated the relation of the e4 allele to amyloid. To examine this possibility, we examined amyloid as a function of allele status, adjusting for age, sex, and education. The presence of one or more e4 alleles was associated with an almost 2% increase in amyloid load (p<0.001) (table 3, model 1). When a term for tangles was added to the model, the effect of the e4 allele was attenuated, but remained significant (p = 0.02). These data suggest that tangles cannot fully account for the association of the e4 allele with amyloid.
We quantified extracellular deposits of amyloid-β peptide plaque deposits and phosphorylated tau immunoreactive neurofibrillary tangles from multiple brain regions from subjects with and without clinically diagnosed AD, and examined a hypothesised sequence of events linking APOE allele status to level of cognition assessed proximate to death (fig 1). We found that amyloid accounted for the association of the e4 allele to level of cognition. Further, we found that amyloid accounted for the association of allele status to tangles, but tangles did not account for the association of the ε4 allele to amyloid. Together with data from a prior study,19 these data suggest that the APOE e4 allele is the first step in a sequence of events that works through amyloid deposition and subsequently tangle formation to cause cognitive impairment, as outlined in fig 1.
Understanding how neuropathological indices account for the association of risk factors to cognitive impairment has important implications regarding strategies to delay disease onset. Over the past several years, possession of one or more APOE e4 alleles has emerged as the most important genetic susceptibility factors for AD among older people. Despite intensive investigation, the neurobiological changes responsible for the association of allele status with the occurrence of clinical disease remains controversial, with some data suggesting that its effect is mediated by an increase in the rate of accumulation of AD pathology,5–7 whereas other data suggest that it may be related to other less specific mechanisms such as neural repair or survival.8,9,33,34
We21 and others5–7 have reported that allele status is related to AD pathology as identified with routine histopathology. Further, several studies have found a relation between the e4 allele and amyloid deposition10–13 or both amyloid and tau positive tangles.14,15 By contrast, some studies have found an association of the e4 allele and amyloid deposition but not tau tangles.16 The data in this study extend the prior publications not only by showing an association of allele status with amyloid deposition and tangle formation, but also by providing strong evidence that amyloid deposition mediates the association of the e4 allele with tau tangles and ultimately with level of cognition. The term mediate is used in the statistical sense and refers to the fact that accounting for amyloid in analyses markedly attenuates the association of allele status with cognition. This finding does not preclude the possibility that the e4 allele may work through other mechanisms in addition to amyloid, but it implies that the effect sizes of the other variables would be substantially smaller.
APOE is synthesised primarily by astrocytes and microglia in the brain and its main function is thought to be in the regulation of lipoprotein metabolism as in the periphery.35 However, preclinical data from a variety of sources suggest that APOE may also be involved in the deposition and/or clearance of amyloid from the brain. APOE appears to enhance spontaneous fibrillogenesis of amyloid in vitro,36 and has been reported to form dimeric complexes with soluble amyloid in vivo.37 The role of APOE on the deposition of amyloid has also been studied in transgenic animals.38–40 When transgenic mice expressing amyloid precursor protein were bred with apoE knockout mice, there was some deposition of non-fibrillar amyloid. However, neuritic dystrophy was seen in association with the amyloid when transgenics were bred with wild type mice possessing the murine apoE gene. Likewise, nonfibrillar amyloid was seen in transgenics bred onto mice expressing human APOE e2. However, severe neuritic dystrophy was seen in association with the amyloid in transgenic mice bred with mice expressing human APOE e3 or e4, with the latter having a greater effect on amyloid plaque formation.
The study has several strengths. APOE allele status was linked to amyloid and tangles, and to level of global cognitive function assessed proximate to death. All analyses were performed on comparable people from a single cohort who came to autopsy following high rates of follow up participation and brain autopsy. This cohort provides controls for other potentially confounding variables such as occupation and lifestyle, and the sample size was sufficiently large to control for other important and potentially confounding variables such as age, sex, and education. Finally, uniform structured procedures were followed, examiners were blinded to previously collected data, and all personnel collecting postmortem, genetic, and clinical data were blinded to all other data, further reducing the potential for bias.
However, the study also has several limitations. We only quantified the fibrillar form of amyloid-β and PHF tau positive tangles identified by antibodies to a single epitope. Different epitopes of amyloid-β or tau, or other pathological indices (such as cerebrovascular disease) may also be related to allele status and clinical disease, suggesting additional studies that incorporate these potential mediators. Further, because we only quantified fibrillar amyloid rather than soluble amyloid, it is not clear whether APOE allele status is associated with increased production or fibrillogenesis of amyloid, or reduced clearance. Finally, participants are not representative of the population of the USA as a whole in terms of education and lifestyle. Therefore, the findings will need to be replicated in similar studies of lay people. Most importantly, clinicopathological analyses are inherently cross sectional, and the sequence under investigation can be inferred but not proven. Thus, although we tested an a priori hypothesis supported by the literature, the data must be interpreted with caution. It may be possible in the future to use the longitudinal sequential clinical observations to model the most likely sequence of underlying pathological events,41 Nonetheless, these types of analyses can be a powerful approach to identifying the post-mortem indices that account for the association of genetic and environmental risk factors with AD.
We are indebted to the hundreds of nuns, priests, and monks from the following American groups participating in the Religious Orders Study: the Archdiocesan priests of Chicago, Dubuque, and Milwaukee; Benedictine Monks, Lisle, IL and Collegeville, MN; Benedictine Sisters of Erie, Erie, PA; Benedictine Sisters of the Sacred Heart, Lisle, IL; Capuchin monks, Appleton, WI; Christian Brothers, Chicago, IL and Memphis, TN; Diocesan priests, Gary, IN; Dominicans, River Forest, IL; Felician Sisters, Chicago, IL; Franciscan Handmaids of Mary, New York, NY; Franciscan monks, Chicago, IL; Holy Spirit Missionary Sisters, Techny, IL; Maryknolls, Los Altos, CA and Maryknoll, NY; Norbertines, DePere, WI; Oblate Sisters of Providence, Baltimore, MD; Passionist monks, Chicago, IL; Presentation Sisters, Dubuque, BVM, IA; Servites, Chicago, IL; Sinsinawa Dominican Sisters, Chicago, IL and Sinsinawa, WI; Sisters of Charity, BVM, Chicago, IL and Dubuque, IA; Sisters of the Holy Family, New Orleans, LA; Sisters of the Holy Family of Nazareth, Des Plaines, IL; Sisters of Mercy of the Americas, Chicago, IL, Aurora, IL, and Erie PA; Sisters of St. Benedict, St. Cloud, and St. Joseph, MN; Sisters of St. Casimir, Chicago, IL; Sisters of St. Francis of Mary Immaculate, Joliet, IL; Sisters of St. Joseph of LaGrange, LaGrange Park, IL; Society of the Divine Word, Techny, IL; Trappist monks, Gethsemani, KY and Peosta, IA; Wheaton Franciscan Sisters, Wheaton, IL.
We thank J Bach, T Colvin, and G Hoganson for coordinating the Religious Orders Study. We also thank B Howard, Rush Alzheimer’s Disease Center Laboratory Coordinator, W Bang for analytic programming, G Dombrowski and G Klein for data management, and the staff of the Rush Alzheimer’s Disease Center.
This study was supported by National Institute on Aging grants R01 AG15819, P30 AG10161.
Competing interests: none
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