- Open Access
Effect of APOE ε4 genotype on amyloid-β and tau accumulation in Alzheimer’s disease
Alzheimer's Research & Therapy volume 12, Article number: 140 (2020)
To assess the effects of apolipoprotein E (ApoE) ε4 genotype on amyloid-β (Aβ) and tau burden and their longitudinal changes in Alzheimer’s disease (AD) spectrum.
Among 272 individuals who underwent PET scans (18F-florbetaben for Aβ and 18F-flortaucipir for tau) and ApoE genotyping, 187 individuals completed 2-year follow-up PET scans. After correcting for the partial volume effect, we compared the standardized uptake value ratio (SUVR) for Aβ and tau burden between the ε4+ and ε4− groups. By using a linear mixed-effect model, we measured changes in SUVR in the ApoE ε4+ and ε4− groups.
The ε4+ group showed greater baseline Aβ burden in the diffuse cortical regions and greater tau burden in the lateral, and medial temporal, cingulate, and insula cortices. Tau accumulation rate was higher in the parietal, occipital, lateral, and medial temporal cortices in the ε4+ group. In Aβ+ individuals, baseline tau burden was greater in the medial temporal cortex, while Aβ burden was conversely greater in the ε4− group. Tau accumulation rate was higher in the ε4+ group in a small region in the lateral temporal cortex. The effect of ApoE ε4 on enhanced tau accumulation persisted even after adjusting for the global cortical Aβ burden.
Progressive tau accumulation may be more prominent in ε4 carriers, particularly in the medial and lateral temporal cortices. ApoE ε4 allele has differential effects on the Aβ burden depending on the existing amyloidosis and may enhance vulnerability to progressive tau accumulation in the AD spectrum independent of Aβ.
Except for the rare dominantly inherited Alzheimer’s disease (AD), most AD patients are sporadic [1, 2]. The apolipoprotein E (ApoE) gene encodes a 35-kDa extracellular lipid and cholesterol carrier glycoprotein, and its ε4 allele is a major genetic risk factor for sporadic AD [1, 3]. The presence of this allele increases the risk of AD in a dose-dependent manner and lowers the age at onset [4, 5]. However, its effect on the regional accumulation rates of two major pathological proteins—amyloid-β (Aβ) and tau—remains unclear.
Greater amounts of Aβ burden were observed in ε4 carriers than in non-carriers in previous postmortem and 11C-Pittsburgh compound B (PIB) positron emission tomography (PET) studies [6,7,8]. Longitudinal change in Aβ burden was also greater in ε4 carriers than non-carriers in some previous studies [9,10,11], while another longitudinal study did not find this association .
Postmortem studies showed more frequent neurofibrillary tangle pathology in ε4 carriers in a dose-dependent manner , a greater tangle pathology in AD patients with ε4 homozygotes , and an association of the ε4 allele with tangle pathology in the presence of Aβ . In contrast, another study did not find evidence for these associations . A recent 18F-flortaucipir PET study demonstrated that ApoE ε4 had an Aβ-independent effect on the increase in the tau load in the entorhinal cortex and hippocampus , while the other studies found this effect was associated with the global Aβ burden  or even greater tau burden in the prodromal AD and AD dementia patients without the ε4 allele, particularly in the parietal cortex, than in patients who carried the ε4 allele .
In this study, we investigated the effects of the ε4 allele on regional Aβ and tau burden and their longitudinal changes in cognitively unimpaired (CU) individuals, mild cognitive impairment (MCI) patients, and AD patients.
Materials and methods
From January 2015 to August 2017, 272 individuals completed a baseline tau PET study at Gangnam Severance Hospital. The baseline study included magnetic resonance (MR) and two PET scan (18F-florbetaben for Aβ and 18F-flortaucipir for tau) studies, neuropsychological tests using Seoul Neuropsychological Screening Battery (tests for global cognition and six cognitive domains) , and ApoE genotyping. In 187 individuals who agreed to a follow-up study, the same neuroimaging and neuropsychological tests were performed after a mean of 2.0 ± 0.3 years.
We used the clinical diagnostic criteria for probable AD dementia proposed by the National Institute of Neurological and Communicative Disorders and Stroke, and used the Alzheimer’s Disease and Related Disorders Association and Petersen’s criteria for diagnosing MCI [20, 21]. Accordingly, the baseline study included 96 CU, 105 MCI, and 71 AD dementia patients, and the longitudinal study included 80 CU, 42 MCI, and 65 AD dementia patients. Baseline Aβ-positivity was determined by two nuclear medicine specialists using the validated visual assessment methods [22, 23]. Detailed information for the inclusion of participants has been described in our previous reports [24, 25].
Acquisition of PET and MR images
We performed 18F-florbetaben and 18F-flortaucipir PET in separate days, almost within a month (8.3 ± 7.9 days for the baseline and 9.4 ± 7.6 days for the follow-up scans). PET images were acquired in a Biograph mCT PET/CT scanner (Siemens Medical Solutions; Malvern, PA, USA) for 20 min at 90 min after the injection of 18F-florbetaben and at 80 min after the injection of 18F-flortaucipir. Prior to the scan, brain computed tomography images were acquired for attenuation correction. 3D PET images were reconstructed using the ordered-subsets expectation maximization (OSEM) algorithm in a 256 × 256 × 223 matrix with a 1.591 × 1.591 × 1 mm voxel size. MR images were scanned within 90 days before or after the acquisition of 18F-flortaucipir PET (27.7 ± 25.7 days for the baseline and 13.4 ± 18.0 days for the follow-up scans). In a 3.0-T MR scanner (Discovery MR750, GE Medical Systems, Milwaukee, WI), T1-weighted MR images were acquired using 3D-spoiled gradient-recalled sequences (repetition time = 8.3 ms, echo time = 3.3 ms, flip angle = 12°, 512 × 512 matrix, voxel spacing 0.43 × 0.43 × 1 mm).
Image processing steps
We used FreeSurfer 5.3 (Massachusetts General Hospital, Harvard Medical School; http://surfer.nmr.mgh.harvard.edu) software to obtain participant-specific volumes-of-interest (VOIs). In brief, T1-weighted MR images were resliced to a 1-mm isovoxel space in FreeSurfer, corrected for inhomogeneity, and segmented into gray and white matter. After tessellation, 3D surfaces for gray and white matter were reconstructed. Subcortical regions were segmented with the probabilistic registration method , and cortical regions were probabilistically labeled based on the curvature information overlaid on an inflated white matter surface [27, 28]. Finally, participant-specific composite VOI images, including 16 and 4 subcortical regions, were created by merging anatomically related regions. Detailed list of VOIs and their corresponding regions in the Desikan-Killiany atlas was presented in Table S1.
Statistical parametric mapping 12 (Wellcome Trust Centre for Neuroimaging, London, UK) and in-house software implemented in MATLAB 2015b (MathWorks, Natick, MA, USA) were used for the processing of PET images. PET images were first coregistered to MR images that had been resliced to the FreeSurfer isovoxel space. Using participant-specific composite VOI images, PET images were corrected for partial volume effect (PVE) with a region-based voxel-wise (RBV) method . The standardized uptake value ratio (SUVR) images were created using the cerebellar crus median obtained by overlaying a template mask on PET images spatially that were normalized with diffeomorphic anatomical registration through an exponentiated lie algebra tool . Finally, regional SUVR values were obtained by overlaying the participant-specific composite VOI images on individual PET images.
For visualization, cortical uptake values were mapped on the white matter surface by assigning the values of voxels corresponding to the mid-point between the gray and white matter surface, corrected for PVE with the RBV method, and then converted to SUVR maps using the cerebellar crus median as a reference. Surface SUVR images were spatially normalized and finally smoothed on a 2D surface using a Gaussian kernel with 8-mm full-width half-maximum.
SPSS 23 (IBM Corp., Armonk, NY, USA) was used for the statistical analysis of demographic data and baseline VOI data. Continuous and categorical demographic variables were compared between the ApoE ε4− and ε4+ groups using independent t test and chi-square test, respectively. Using the general linear model with age, years of education, sex, and baseline Mini-Mental State Examination (MMSE) scores as covariates, the baseline SUVR values were compared between the ApoE ε4− and ε4+ groups. P values for trends were calculated using analysis of covariance (ANCOVA) after adjusting for age, sex, years of education, and baseline MMSE scores as covariates. We included MMSE scores as a covariate in all statistical analysis due to the difference in the distribution of cognitive status between the ε4+ and ε4− groups. Region-wise multiple comparisons were corrected for using Benjamini-Hochberg’s false discovery rate (FDR) method (FDR-corrected P < 0.05 for 17 regions) . Likewise, baseline surface images were compared between the two groups using the same general linear model implemented in FreeSurfer. Longitudinal changes in the regional SUVR values and surface images were compared between the groups using a linear mixed-effect model in MATLAB with age, sex, years of education, baseline MMSE scores, and an interaction term between the presence of ApoE ε4 and time intervals as fixed factors, under the assumption of a random intercept and slope, by setting the intervals and subject as random factors.
We primarily analyzed data with four covariates above and repeated the analysis with the baseline global cortical Aβ burden as an additional covariate.
Baseline and follow-up demographic data are summarized in Table 1 and S2. In individuals included in the baseline and follow-up studies, age, sex, and education did not differ between the ε4− and ε4+ groups. The ε4+ group showed higher proportions of Aβ-positivity and clinical dementia, and worse global cognition at baseline than the ε4− group. However, none of the demographic characteristics and global cognition differed between each groups stratified by Aβ-positivity. Compared to baseline, global cognition had worsened at follow-up in both the ε4− and ε4+ groups. The number of ε4 carriers was greater in patients with dementia than that in CU and MCI patients.
Baseline Aβ and tau burden
In all 272 Aβ− and Aβ+ individuals, the ApoE ε4+ group exhibited greater Aβ burden in the global cortex; prefrontal, parietal, lateral temporal, parahippocampal, and cingulate cortices; and hippocampus than the ε4− group, and all regions survived correcting for multiple comparisons. Conversely, in 114 Aβ+ individuals, Aβ burden was greater in the ε4− group in the global cortex, and sensorimotor, superior parietal, occipital, and insula cortices than in the ε4+ group, although all regions did not survive correcting for multiple comparisons (Fig. 1a). Surface-based statistics showed similar results as VOI-based comparisons (Fig. 1b).
In all individuals, greater tau burden was observed in the ε4+ group in the lateral and medial temporal, cingulate, and insula cortices, and all regions survived multiple comparisons (Fig. 1a). In Aβ+ individuals, the ε4+ group showed greater tau burden in the medial temporal regions, of which only the amygdala and hippocampus survived correcting for multiple comparisons. Surface-based statistics showed greater tau burden in the medial temporal and anterior cingulate regions in the ε4+ group than in the ε4− group; however, none of the regions survived after correcting for multiple comparisons (Fig. 1b).
Increased baseline Aβ burden in the hippocampus was associated with the number of ε4 alleles. Likewise, tau burden in the medial temporal regions showed an association with ε4 allele in a dose-dependent manner (Fig. 5a). In Aβ+ individuals, increased tau burden in the hippocampus and amygdala was associated with the ε4 allele in a dose-dependent manner (Fig. 5b).
We also compared baseline SUVR values between the two ApoE groups within each group for cognitive status (Fig. 2). When compared to the ε4− group, tau burden was greater in the ε4+ group in the hippocampus in Aβ+ MCI patients and in the hippocampus and amygdala in Aβ+ AD dementia patients. However, all regions did not survive correction for multiple comparisons.
When the baseline global cortical Aβ burden was included as an additional covariate in the model, the ApoE ε4+ group exhibited greater tau burden in all medial temporal regions when compared to the ε4− group (Additional file 1: Fig. S2A).
Longitudinal changes in Aβ and tau burden
Examples of baseline Aβ and tau burden and their changes at follow-up are demonstrated in Fig. 3. In all 187 individuals, the ε4+ group exhibited a higher Aβ accumulation rate than the ε4− group in the global cortex; superior parietal, occipital, lateral temporal, and parahippocampal cortices; and amygdala; however, none of the regions survived correcting for multiple comparisons (Fig. 4a). A surface-based comparison showed a higher Aβ accumulation rate in diffuse cortical areas in the ε4+ group than in the ε4− group, and small regions in the lateral temporal cortex survived correcting for multiple comparisons (Fig. 4b). In Aβ+ individuals, there was no difference in the Aβ accumulation rate between the two groups.
In all individuals, the tau accumulation rate in the ε4+ group was higher in the global cortex, and prefrontal, parietal, occipital, lateral and medial temporal, posterior cingulate, and insula cortices compared to the ε4− group. Except for the prefrontal, superior parietal, and posterior cingulate cortices, all regions survived correcting for multiple comparisons (Fig. 4a). Moreover, the increase in tau accumulation rate is associated with the number of ApoE ε4 allele (Fig. 5b). Similar to the VOI-based results, a surface-based comparison of the annual increase in tau showed a higher tau accumulation rate, particularly in the diffuse parietotemporal cortex in the ε4+ group (Fig. 4b). In Aβ+ individuals, the ε4+ group exhibited a greater annual increase in tau burden in the middle temporal and hippocampus, although none of the regions survived correcting for multiple comparisons (Fig. 4a). Surface-based statistics also showed a higher tau accumulation rate in small regions in the basal and lateral temporal and sensorimotor cortices even after correction for multiple comparisons (Fig. 4b).
Even after inclusion of the baseline global cortical Aβ burden as an additional covariate in the model, the results for the VOI-based comparison of tau accumulation rates between the two ApoE groups were almost similar (Additional file 1: Fig. S2B).
In this study, we assessed the effects of the ApoE ε4 genotype on Aβ and tau burden and found a greater baseline Aβ and tau burden and higher tau accumulation rate in the ε4+ group than in the ε4− group. The Aβ accumulation rate in the ε4+ group was higher in small areas in the lateral temporal cortex. In Aβ+ individuals, the baseline tau burden in the ε4+ group was greater in the medial temporal regions and the tau accumulation rate in the ε4+ group was higher in small regions in the basal and lateral temporal cortices than in the ε4− group.
A transgenic mouse model with neuron-specific overexpression of ApoE ε4 showed greater phosphorylated tau burden in the neocortex and hippocampus , and tau transgenic mice expressing human ApoE ε4 exhibited greater tau burden in the hippocampus than those expressing ε2 or ε3 . A postmortem study showed that ε4 gene dose-dependently increased neurofibrillary tangle (NFT) pathology, and there was greater NFT pathology in diffuse cortical areas in AD patients carrying the ε4 allele than in those who did not . Another study showed greater cortical NFT pathology only in the AD patients homozygous for the ε4 allele than in those with a single ε4 allele or those without the allele . Unlike these transgenic mice and human postmortem studies, human cerebrospinal fluid (CSF) biomarker studies showed no differences in the level of CSF T-tau and P-tau between the ε4+ and ε4− groups [34, 35]. Moreover, one cross-sectional 18F-flortaucipir PET study in Aβ+ MCI and AD patients demonstrated that the ε4− group conversely exhibited greater tau burden in the parieto-occipital cortex than the ε4+ group . In our Aβ+ AD dementia patients, the ε4− group tended to show greater tau burden in the parieto-occipital cortex, similar to the previous study, while the ε4+ group tended to show greater tau burden in the medial temporal cortex. However, none of these regions survived correction for multiple comparisons (Fig. 2b). This discrepancy may be attributable to the disproportionate frequency of the ε4 allele in patients with different subtypes of AD. The hippocampal sparing type of AD is associated with a younger age at onset, lower frequency of the ApoE ε4 allele, greater tau burden particularly in the parietal cortex, faster cortical atrophy, and faster cognitive decline than the typical AD subtype [36,37,38,39]. Therefore, we suspect that inclusion of a greater proportion of the hippocampal sparing subtype in the study cohort diluted the effect of ε4 on the tau burden or may even have caused contrary results.
Although a previous report has demonstrated a longitudinal increase in CSF tau in AD patients , one longitudinal 18F-flortaucipir PET study performed in a small number of AD patients did not find an association between the ApoE genotypes and longitudinal changes in tau burden . In our results for all Aβ± individuals, the regional tau accumulation rate was higher in diffuse regions in the medial and lateral temporal and parieto-occipital cortices in the ε4+ group than in the ε4− group. Moreover, even in Aβ+ individuals, a higher tau accumulation rate was observed in the ε4+ group in small regions in the temporal cortex, suggesting that the ApoE ε4 genotype had an effect on progressive tau accumulation.
One recent 18F-flortaucipir PET study including 325 individuals (90% cognitively unimpaired and 10% cognitively impaired) showed an association of ApoE ε4 with increased tau burden in the entorhinal cortex, but statistical significance was lost after adjusting for global cortical Aβ burden . In contrast, another study that included 489 individuals with a more balanced distribution of cognitive status (57% cognitively unimpaired and 43% cognitively impaired) demonstrated that ApoE ε4 had an effect on the increased tau burden in the entorhinal cortex and hippocampus, and which persisted even after adjusting for global cortical Aβ burden, as we found in our study . Moreover, the effect of ApoE ε4 on progressive tau accumulation was replicated after adjusting for global cortical Aβ burden in our longitudinal study. To evaluate the proportion of a direct effect of ApoE ε4+ for increasing regional tau burden, we additionally performed path analysis with the ApoE ε4 positivity as a predictor and global cortical Aβ burden as a mediator. There was a significant direct effect of ApoE ε4 on baseline tau burden in the medial temporal regions, and 49–66% of total effect was explained by direct effect. Likewise, a significant direct effect of ApoE ε4 on progressive tau accumulation in longitudinal study was observed in the lateral temporal and parahippocampal cortices and hippocampus, and 64–71% of total effect was explained by direct effect (Additional file 1: Table S3). Therefore, tau accumulation may be accelerated in the presence of ApoE ε4 independent of Aβ burden.
The ApoE ε4 isoform was more likely to stimulate neuronal Aβ production than the other isoforms in vitro , and transgenic mice expressing the ApoE ε4 isoform showed less effective clearance of soluble Aβ from brain interstitial fluid . Human autopsy findings demonstrated greater Aβ burden in the ε4+ than in the ε4− group not only in AD patients , but also in the MCI patients and CU individuals . Likewise, when compared to individuals without the ε4 allele, a greater Aβ burden was observed in the global cortex in CU individuals and in MCI patients with the ε4 allele , and in the temporo-parietal cortex in AD patients with ε4 allele based on the PET studies . Our study also demonstrated greater Aβ burden in the diffuse cortical areas in individuals with the ε4 allele than in those without. In contrast to the strong association between the ε4 allele and the baseline Aβ burden, we found a weak effect of ApoE ε4 on progressive Aβ accumulation in small regions in the lateral temporal cortex only in all Aβ± individuals. The Aβ accumulation rate in Aβ+ individuals did not differ between the ε4+ and ε4− groups like previous studies [9, 11], suggesting an effect of the ApoE ε4 allele on Aβ deposition only in the early stage of the disease.
Interestingly, Aβ burden in the Aβ+ individuals was paradoxically greater in the ε4− group than in the ε4+ group, similar to previous 11C-PIB and 18F-fluorodeoxyglucose PET studies that demonstrated lower Aβ burden and contrarily greater cortical hypometabolism in the AD patients carrying the ε4 allele than in those without this allele [46, 47]. This paradoxical effect of the ApoE ε4 allele on Aβ deposition can be expected by clinical studies that found an impact of the ApoE ε4 allele on Aβ burden in CU and MCI but not in those with AD [8, 34]. Furthermore, a study with transgenic mice demonstrated enhanced Aβ aggregation by ApoE ε4 in the early seeding stage but not in the later Aβ growth stage . An in vitro experiment demonstrated that ApoE ε4 binds to toxic Aβ oligomers and more potently delays further aggregation of Aβ into the PET-detectable fibril form than the other ApoE isoforms . Therefore, ApoE ε4 may play an important role in Aβ accumulation in the early stages of AD pathogenesis rather than in the advanced stages and may be more likely to be exposed to toxic oligomers. Subsequently, events toward final neurodegeneration may be induced, thereby shifting the hypothetical biomarker curves for tau and neurodegeneration to the Aβ curve . It is also interesting to note that a transgenic mice model expressing both Aβ and tau exhibited a smaller number of plaques than a model expressing only Aβ . Greater microgliosis and reduction of the amyloid-precursor protein-producing neurons due to greater tau accumulation in ε4 carriers may be another possible mechanism underlying the paradoxically lower Aβ burden . However, this hypothesis cannot fully explain the mechanism due to the mismatch between the cortical areas with greater Aβ burden in the ε4− group and those with greater tau burden in the ε4+ group (Fig. 1).
Our study showed greater tau burden in the medial temporal areas in all Aβ+ individuals carrying the ε4 allele than in those not carrying the ε4 allele, but the result for the hippocampus was limited by the off-target binding in the choroid plexus adjacent to the hippocampus. In addition, distribution of diagnoses was different between the ε4+ and ε4− groups, with global cognition being more impaired in the ε4+ group (Table 1). Consequently, we had to adjust for global cognition additionally in the group comparison to minimize the effect of differences in disease severity between groups. Another methodological limitation was the high variability and bias in the quantitation of longitudinal PET study with simple ratio method due to changes in perfusion . Finally, a longer follow-up duration will be necessary to observe greater differences in progressive tau accumulation between the ε4+ and ε4− groups.
Our study revealed that progressive tau accumulation may occur more prominently in ε4 carriers, particularly in the medial and lateral temporal cortices. The presence of the ε4 allele not only has differential effects on Aβ burden depending on the existing amyloidosis but also possibly enhances vulnerability to progressive tau accumulation in the AD spectrum independent of Aβ.
Availability of data and materials
Data generated by this study are available from the corresponding author on reasonable request. The data are not publicly available due to privacy restriction.
Mild cognitive impairment
Partial volume effect
Standardized uptake value ratio
Scheltens NME, Tijms BM, Koene T, Barkhof F, Teunissen CE, Wolfsgruber S, et al. Cognitive subtypes of probable Alzheimer’s disease robustly identified in four cohorts. Alzheimers Dement. 2017;13(11):1226–36.
Crane PK, Trittschuh E, Mukherjee S, Saykin AJ, Sanders RE, Larson EB, et al. Incidence of cognitively defined late-onset Alzheimer’s dementia subgroups from a prospective cohort study. Alzheimers Dement. 2017;13(12):1307–16.
Munoz SS, Garner B, Ooi L. Understanding the role of ApoE fragments in Alzheimer’s disease. Neurochem Res. 2019;44(6):1297–305.
Liu CC, Liu CC, Kanekiyo T, Xu H, Bu G. Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy. Nat Rev Neurol. 2013;9(2):106–18.
Corder EH, Saunders AM, Strittmatter WJ, Schmechel DE, Gaskell PC, Small GW, et al. Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer’s disease in late onset families. Science. 1993;261(5123):921–3.
Rebeck GW, Reiter JS, Strickland DK, Hyman BT. Apolipoprotein E in sporadic Alzheimer’s disease: allelic variation and receptor interactions. Neuron. 1993;11(4):575–80.
Sabbagh MN, Malek-Ahmadi M, Dugger BN, Lee K, Sue LI, Serrano G, et al. The influence of Apolipoprotein E genotype on regional pathology in Alzheimer’s disease. BMC Neurol. 2013;13(1):44.
Rowe CC, Ellis KA, Rimajova M, Bourgeat P, Pike KE, Jones G, et al. Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging. Neurobiol Aging. 2010;31(8):1275–83.
Villemagne VL, Pike KE, Chetelat G, Ellis KA, Mulligan RS, Bourgeat P, et al. Longitudinal assessment of Abeta and cognition in aging and Alzheimer disease. Ann Neurol. 2011;69(1):181–92.
Mishra S, Blazey TM, Holtzman DM, Cruchaga C, Su Y, Morris JC, et al. Longitudinal brain imaging in preclinical Alzheimer disease: impact of APOE epsilon4 genotype. Brain. 2018;141(6):1828–39.
Lim YY, Mormino EC, Alzheimer’s Disease Neuroimaging I. APOE genotype and early beta-amyloid accumulation in older adults without dementia. Neurology. 2017;89(10):1028–34.
Resnick SM, Bilgel M, Moghekar A, An Y, Cai Q, Wang MC, et al. Changes in Abeta biomarkers and associations with APOE genotype in 2 longitudinal cohorts. Neurobiol Aging. 2015;36(8):2333–9.
Tiraboschi P, Hansen LA, Masliah E, Alford M, Thal LJ, Corey-Bloom J. Impact of APOE genotype on neuropathologic and neurochemical markers of Alzheimer disease. Neurology. 2004;62(11):1977–83.
Farfel JM, Yu L, De Jager PL, Schneider JA, Bennett DA. Association of APOE with tau-tangle pathology with and without beta-amyloid. Neurobiol Aging. 2016;37:19–25.
Landen M, Thorsell A, Wallin A, Blennow K. The apolipoprotein E allele epsilon 4 does not correlate with the number of senile plaques or neurofibrillary tangles in patients with Alzheimer’s disease. J Neurol Neurosurg Psychiatry. 1996;61(4):352–6.
Therriault J, Benedet AL, Pascoal TA, Mathotaarachchi S, Chamoun M, Savard M, et al. Association of apolipoprotein E epsilon4 with medial temporal tau independent of amyloid-beta. JAMA Neurol. 2020;77(4):470–9.
Ramanan VK, Castillo AM, Knopman DS, Graff-Radford J, Lowe VJ, Petersen RC, et al. Association of apolipoprotein E varepsilon4, educational level, and sex with tau deposition and tau-mediated metabolic dysfunction in older adults. JAMA Netw Open. 2019;2(10):e1913909.
Mattsson N, Ossenkoppele R, Smith R, Strandberg O, Ohlsson T, Jogi J, et al. Greater tau load and reduced cortical thickness in APOE epsilon4-negative Alzheimer’s disease: a cohort study. Alzheimers Res Ther. 2018;10(1):77.
Kang Y, Na DL. Seoul Neuropsychological Screening Battery (SNSB). Incheon, South Korea: Human Brain Research & Consulting Co.; 2003.
McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology. 1984;34(7):939–44.
Petersen RC, Smith GE, Waring SC, Ivnik RJ, Tangalos EG, Kokmen E. Mild cognitive impairment: clinical characterization and outcome. Arch Neurol. 1999;56(3):303–8.
Sabri O, Sabbagh MN, Seibyl J, Barthel H, Akatsu H, Ouchi Y, et al. Florbetaben PET imaging to detect amyloid beta plaques in Alzheimer’s disease: phase 3 study. Alzheimers Dement. 2015;11(8):964–74.
Villemagne VL, Ong K, Mulligan RS, Holl G, Pejoska S, Jones G, et al. Amyloid imaging with (18) F-florbetaben in Alzheimer disease and other dementias. J Nucl Med. 2011;52(8):1210–7.
Cho H, Choi JY, Hwang MS, Kim YJ, Lee HM, Lee HS, et al. In vivo cortical spreading pattern of tau and amyloid in the Alzheimer disease spectrum. Ann Neurol. 2016;80(2):247–58.
Cho H, Choi JY, Hwang MS, Lee JH, Kim YJ, Lee HM, et al. Tau PET in Alzheimer disease and mild cognitive impairment. Neurology. 2016;87(4):375–83.
Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron. 2002;33(3):341–55.
Desikan RS, Segonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage. 2006;31(3):968–80.
Fischl B, van der Kouwe A, Destrieux C, Halgren E, Segonne F, Salat DH, et al. Automatically parcellating the human cerebral cortex. Cereb Cortex. 2004;14(1):11–22.
Thomas BA, Erlandsson K, Modat M, Thurfjell L, Vandenberghe R, Ourselin S, et al. The importance of appropriate partial volume correction for PET quantification in Alzheimer’s disease. Eur J Nucl Med Mol Imaging. 2011;38(6):1104–19.
Ashburner J. A fast diffeomorphic image registration algorithm. Neuroimage. 2007;38(1):95–113.
Benjamini Y, Hochberg Y. Controlling the false discovery rate - a practical and powerful approach to multiple testing. J R Stat Soc Ser B Stat Methodol. 1995;57(1):289–300.
Brecht WJ, Harris FM, Chang S, Tesseur I, Yu GQ, Xu Q, et al. Neuron-specific apolipoprotein e4 proteolysis is associated with increased tau phosphorylation in brains of transgenic mice. J Neurosci. 2004;24(10):2527–34.
Shi Y, Yamada K, Liddelow SA, Smith ST, Zhao L, Luo W, et al. ApoE4 markedly exacerbates tau-mediated neurodegeneration in a mouse model of tauopathy. Nature. 2017;549(7673):523–7.
Morris JC, Roe CM, Xiong C, Fagan AM, Goate AM, Holtzman DM, et al. APOE predicts amyloid-beta but not tau Alzheimer pathology in cognitively normal aging. Ann Neurol. 2010;67(1):122–31.
Lautner R, Palmqvist S, Mattsson N, Andreasson U, Wallin A, Palsson E, et al. Apolipoprotein E genotype and the diagnostic accuracy of cerebrospinal fluid biomarkers for Alzheimer disease. JAMA Psychiatry. 2014;71(10):1183–91.
Murray ME, Graff-Radford NR, Ross OA, Petersen RC, Duara R, Dickson DW. Neuropathologically defined subtypes of Alzheimer’s disease with distinct clinical characteristics: a retrospective study. Lancet Neurol. 2011;10(9):785–96.
Ossenkoppele R, Lyoo CH, Sudre CH, van Westen D, Cho H, Ryu YH, et al. Distinct tau PET patterns in atrophy-defined subtypes of Alzheimer’s disease. Alzheimers Dement. 2020;16(2):335–44.
Sluimer JD, Vrenken H, Blankenstein MA, Fox NC, Scheltens P, Barkhof F, et al. Whole-brain atrophy rate in Alzheimer disease: identifying fast progressors. Neurology. 2008;70(19 Pt 2):1836–41.
Risacher SL, Anderson WH, Charil A, Castelluccio PF, Shcherbinin S, Saykin AJ, et al. Alzheimer disease brain atrophy subtypes are associated with cognition and rate of decline. Neurology. 2017;89(21):2176–86.
Blomberg M, Jensen M, Basun H, Lannfelt L, Wahlund LO. Increasing cerebrospinal fluid tau levels in a subgroup of Alzheimer patients with apolipoprotein E allele epsilon 4 during 14 months follow-up. Neurosci Lett. 1996;214(2–3):163–6.
Harrison TM, La Joie R, Maass A, Baker SL, Swinnerton K, Fenton L, et al. Longitudinal tau accumulation and atrophy in aging and Alzheimer disease. Ann Neurol. 2019;85(2):229–40.
Huang YA, Zhou B, Wernig M, Sudhof TC. ApoE2, ApoE3, and ApoE4 differentially stimulate APP transcription and Abeta secretion. Cell. 2017;168(3):427–41 e21.
Castellano JM, Kim J, Stewart FR, Jiang H, DeMattos RB, Patterson BW, et al. Human apoE isoforms differentially regulate brain amyloid-beta peptide clearance. Sci Transl Med. 2011;3(89):89ra57.
Caselli RJ, Walker D, Sue L, Sabbagh M, Beach T. Amyloid load in nondemented brains correlates with APOE e4. Neurosci Lett. 2010;473(3):168–71.
Drzezga A, Grimmer T, Henriksen G, Muhlau M, Perneczky R, Miederer I, et al. Effect of APOE genotype on amyloid plaque load and gray matter volume in Alzheimer disease. Neurology. 2009;72(17):1487–94.
Ossenkoppele R, van der Flier WM, Zwan MD, Adriaanse SF, Boellaard R, Windhorst AD, et al. Differential effect of APOE genotype on amyloid load and glucose metabolism in AD dementia. Neurology. 2013;80(4):359–65.
Lehmann M, Ghosh PM, Madison C, Karydas A, Coppola G, O'Neil JP, et al. Greater medial temporal hypometabolism and lower cortical amyloid burden in ApoE4-positive AD patients. J Neurol Neurosurg Psychiatry. 2014;85(3):266–73.
Liu CC, Zhao N, Fu Y, Wang N, Linares C, Tsai CW, et al. ApoE4 accelerates early seeding of amyloid pathology. Neuron. 2017;96(5):1024–32 e3.
Garai K, Verghese PB, Baban B, Holtzman DM, Frieden C. The binding of apolipoprotein E to oligomers and fibrils of amyloid-beta alters the kinetics of amyloid aggregation. Biochemistry. 2014;53(40):6323–31.
DeVos SL, Corjuc BT, Commins C, Dujardin S, Bannon RN, Corjuc D, et al. Tau reduction in the presence of amyloid-beta prevents tau pathology and neuronal death in vivo. Brain. 2018;141(7):2194–212.
van Berckel BN, Ossenkoppele R, Tolboom N, Yaqub M, Foster-Dingley JC, Windhorst AD, et al. Longitudinal amyloid imaging using 11C-PiB: methodologic considerations. J Nucl Med. 2013;54(9):1570–6.
We express our special appreciation to Tae Ho Song and Won Taek Lee (PET technologists) who managed all PET scans with enthusiasm.
This research was supported by a faculty research grant of Yonsei University College of Medicine for (6-2018-0068); a grant from the 2020 Research Grant of Gangnam Severance Hospital Research Committee, Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF2020R1F1A1076154 and NRF2018R1D1A1B07049386); and a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) funded by the Ministry of Health & Welfare, Republic of Korea (Grant number: HI18C1159).
Ethics approval and consent to participate
This study was approved by the institutional review board of Gangnam Severance Hospital (Ref# 3-2017-0054), and written informed consent was obtained from all participants and/or their legal guardians. All procedures performed in this study were in accordance with the ethical standards of the 1964 Helsinki Declaration and its later amendments.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Desikan-Killiany atlas and custom composite VOIs. Table S2. Diagnosis and status of ApoE ε4 genotype of participants. Table S3. Total and direct effect of ApoE ε4 on the baseline tau and annual changes in tau burden. Fig. S1. Comparison of baseline and annual changes in 18F-florbetaben and 18F-flortaucipir SUVR values uncorrected for partial volume effect between the ApoE ε4- and ε4+ groups. Fig. S2. Comparison of baseline 18F-flortaucipir SUVR values (A) and their changes at follow-up (B) between the ApoE ε4- and ε4+ groups after adjusting for the baseline Aβ burden.
About this article
Cite this article
Baek, M.S., Cho, H., Lee, H.S. et al. Effect of APOE ε4 genotype on amyloid-β and tau accumulation in Alzheimer’s disease. Alz Res Therapy 12, 140 (2020). https://0-doi-org.brum.beds.ac.uk/10.1186/s13195-020-00710-6
- Alzheimer disease
- Positron emission tomography