Abstract
Background:
APOE ɛ4 genotype and aging have been identified as risk factors for Alzheimer’s disease (AD). In addition, subjective memory complaints (SMC) might be a first clinical expression of the effect of AD pathology on cognitive functioning.
Objective:
To assess whether APOE ɛ4 genotype, age, SMC, and episodic memory are risk factors for high amyloid-β (Aβ) burden in cognitively normal elderly.
Methods:
307 cognitively normal participants (72.7 ± 6.8 years, 53% female, 55% SMC) from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study underwent amyloid PET and APOE genotyping. Logistic regression analyses were performed to determine the association of APOE ɛ4 genotype, age, SMC, and episodic memory with Aβ pathology.
Results:
Odds of high Aβ burden were greater at an older age (OR = 3.21; 95% CI = 1.68–6.14), when SMC were present (OR = 1.90; 95% CI = 1.03–3.48), and for APOE ɛ4 carriers (OR = 7.49; 95% CI = 3.96–14.15), while episodic memory was not associated with odds of high Aβ burden. Stratified analyses showed that odds of SMC for high Aβ burden were increased in specifically APOE ɛ4 carriers (OR = 4.58, 95% CI = 1.83–11.49) and younger participants (OR = 3.73, 95% CI = 1.39–10.01).
Conclusion:
Aging, APOE ɛ4 genotype, and SMC were associated with high Aβ burden. SMC were especially indicative of high Aβ burden in younger participants and in APOE ɛ4 carriers. These findings suggest that selection based on the presence of SMC, APOE ɛ4 genotype and age may help identify healthy elderly participants with high Aβ burden eligible for secondary prevention trials.
INTRODUCTION
Alzheimer’s disease (AD) is the most common neurodegenerative disorder, characterized by the presence of extracellular amyloid-β (Aβ) plaques [1]. Postmortem [2–6] and Aβ imaging [7, 8] studies indicate that Aβ deposition starts decades prior to the clinical phenotype of dementia, which may explain reports of high Aβ burden in approximately 10–30% of the healthy elderly population, as burden increases with age [9–12]. These individuals with high Aβ burden and normal cognition are likely to represent individuals in the preclinical stage ofAD.
Subjective cognitive decline (SCD), a self-reported persistent cognitive decline in the absence of objective cognitive impairment, has been associated with an increased risk of incident AD [9, 13–16]. Complaints of memory, rather than another domain (subjective memory complaints; SMC), as well as carrying the apolipoprotein E (APOE) ɛ4 AD-risk allele and older age, have been incorporated in the recently published framework paper as ‘SCD plus’ features [17], proposed to be associated with a higher likelihood of preclinical AD in individuals experiencing SCD [18]. Although previous studies consistently found a higher prevalence of high Aβ burden in APOE ɛ4 carriers [19–26], mixed results were found for SMC [9, 27]. Furthermore, conflicting results were also reported for the relationship between high Aβ burden and objective measures of memory performance[11, 28–30].
A previous Australian Imaging, Biomarkers and Lifestyle (AIBL) cohort study found no differences in Aβ burden in participants with SMC compared to those without SMC [10]. The present study represents an extension of this prior study to a supplementary cohort of cognitively normal AIBL participants who underwent an Aβ PET scan. The aim of the present study was to investigate associations of ‘SCD plus’ features including SMC, APOE genotype and older age and objective memory functioning with Aβ burden in cognitively normal elderly.
MATERIALS AND METHODS
Participants
The present study included 307 cognitively normal participants from two Aβ PET-imaging cohorts of the AIBL study. The first cohort included 174 participants that underwent 11C-Pittsburgh compound B ([11C]PiB) PET imaging, as previously described [10]. The second cohort, which is an extension of the first cohort, comprised 133 participants that underwent [18F] flutemetamol PET imaging. A difference in participant recruitment between cohorts was the preferential enrolment of APOE ɛ4 carriers in the [11C]PiB AIBL cohort. Written informed consent was obtained from all participants. Approval for the study was obtained from the St. Vincent’s Hospital, Melbourne, Austin Health, Edith Cowan University and Hollywood Private Hospital Human Research Ethics Committees. Participants responded to a media appeal for volunteers by advertisement in the community [31]. Exclusion criteria at baseline were excessive alcohol consumption, current diagnosis of mild cognitive impairment or a dementia, history of epilepsy or stroke(s), history of other neurological conditions likely to affect cognition (i.e., hypoxia, head injury), history of obstructive sleep apnea, current diagnosis of clinical depression according to DSM-IV criteria for major depressive disorder, or insufficient proficiency in English to complete cognitive tests. Participants were further divided based on the presence or absence (no memory complaints; nMC) of SMC according to their response to the question: “Do you have any difficulty with your memory?” APOE ɛ4 genotype was determined by direct sequencing. For nine participants, APOE genotype was not determined due to failure of blood sampling.
Neuropsychological evaluation
All participants were assessed with a standard neuropsychological battery as previously described [31], including the Mini-Mental State Examination. Furthermore, episodic memory composite scores were calculated based on a previously described method [28]. Briefly, a composite episodic memory score was calculated by taking the average of the z scores (generated in the present study using participants with both low Aβ burden and normal MRI from our [11C]PiB cohort (n = 65) as the reference) for Rey Complex Fig. Test (30 min) long delay and California Verbal Learning Test - Second Edition long delay, and the Wechsler Memory Scale Logical Memory II (Story A only) 30 min delay.
Image acquisition
Magnetic resonance imaging
All participants received MRI on a 3 Tesla scanner using the ADNI 3-dimensional (3D) Magnetization Prepared Rapid Gradient Echo (MPRAGE) sequence, with 1 × 1 mm in-plane resolution and 1.2 mm slice thickness, TR/TE/T1 = 2300/2.98/900, flip angle 9°, and field of view 240 × 256 and 160 slices.
Positron emission tomography
[11C]PiB PET acquisition and image analysis details were described previously [10]. For the [18F]flutemetamol PET acquisition, a 20-min static emission scan was acquired as 4 × 5 min frames starting 90 min after injection of 185 MBq of [18F]flutemetamol. Transmission scans or CT were performed for attenuation correction. While [11C]PiB PET scans were performed on a Philips Allegro (Philips Medical Systems, Eindhoven, The Netherlands) PET camera, [18F]flutemetamol PET scans were performed on a Siemens Biograph 128 MCT (Siemens Healthcare, USA) PET camera.
Image analysis
Coregistration of each individual’s MRI with the PET images with MilxView ®, developed by the Australian e-Health Research Centre – BioMedIA (Brisbane, Australia). A preset in-house template of cortical regions of interest was applied to the PET scans via placement on the participant’s co-registered MRI by an operator (VLV) who was blind to the participant’s clinical status as previously described [32]. For [11C]PiB PET, standardized uptake value (SUV) data were summed and normalized to the cerebellar cortex SUV, and the resulting tissue ratio was termed SUV ratio. The reference region for [18F]flutemetamol PET was the pons [33]. Composite neocortical Aβ burden was expressed as the average SUV ratio (SUVR) of the area-weighted mean of frontal, superior parietal, lateral temporal, lateral occipital, and anterior and posterior cingulate regions. In the present study, SUVR was also considered as a dichotomous variable (high or low Aβ burden). Participants were classified as high Aβ burden when the SUVR was ≥ 1.50 for [11C]PiB [10], and when the SUVR was ≥ 0.62 for [18F]flutemetamol [33].
Statistics
Demographic and clinical characteristics between subgroups were assessed using Student’s t-tests, Mann-Whitney U-tests, Analysis of Variance (ANOVA) with post-hoc Bonferroni tests, and χ2 tests, where appropriate. We performed logistic regression analyses with age (dichotomized based on median; <73 years or ≥ 73 years), APOE ɛ4 genotype (carrier or non-carrier), SMC (presence or absence), and episodic memory (dichotomized based on z-score; < 0 or ≥ 0) as independent variables and high Aβ burden (classified as either high or low based on the previously mentioned cut-off for SUVR) as outcome measure. In Model 1, we adjusted each variable for gender (female or male), education (dichotomized based on median; < 14 of > 15 years of education), and tracer ([18F]flutemetamol or [11C]PiB); in Model 2 we entered all variables simultaneously, adjusted for gender, education, and tracer). Next, interactions between significant determinants of Model 2 were tested by entering two-way interaction terms to Model 2. When we found a significant interaction, we performed stratified analyses. In general, statistical significance was set at p < 0.05. Interactions were considered significant when p < 0.10 [34].
RESULTS
On average, participants were 73 ± 7 years old with a mean MMSE score of 29 ± 1 and 164 (53%) were female. Furthermore, 103 (34%) participants were APOE e4 carrier, 28 (25%) participants showed high amyloid burden on PET and 168 (55%) participants presented with SMC. Comparing [11C]PiB and [18F]Flutemetamol cohorts, there were no differences with respect to gender, education, episodic memory, Mini-Mental State Examination scores, or presence of SMC. Individuals in the [11C]PiB cohort were slightly younger (71.5 ± 7.4 versus 74.3 ± 5.6) and had a higher prevalence of APOE ɛ4 carriers (41% versus 25%) and high Aβ burden (31% versus 19%). Data were pooled for the remainder of theanalyses.
Demographic and clinical characteristics of cognitively normal AIBL participants with available Aβ PET classified by Aβ burden are shown in Table 1. Fig. 1 shows representative [18F]flutemetamol PET images of low and high Aβ burden in cognitively normal participants. Participants with low or high Aβ burden did not differ based on gender, education, and Mini-Mental State Examination scores. Participants with high Aβ burden were slightly older and had a higher prevalence of APOE ɛ4 carriers compared to those with low Aβ burden. Furthermore, there was a trend toward lower composite memory scores (p = 0.08) and higher prevalence of SMC (p = 0.05) in participants with high Aβ burden. Besides, prevalence of SMC did not differ between younger and older subjects or between APOE carriers and non-carriers.
Logistic regression analyses adjusted for gender, education, and tracer showed that older age (odds ratio (OR) = 3.21, 95% confidence intervals (95% CI) = 1.68–6.14), presence of SMC (OR = 1.90; 95% CI = 1.03–3.48), and APOE ɛ4 genotype (OR = 7.49; 95% CI = 3.96–14.15) were associated with high Aβ burden (Table 2, Model 2). In contrast, lower memory score was not associated with high Aβ burden (OR = 1.07, 95% CI = 0.57–2.02). Subsequently, we entered two-way interaction terms in the multivariate model. There was a significant interaction between SMC and APOE ɛ4 genotype (p for interaction = 0.002) and between SMC and age (p for interaction = 0.08). Stratified analyses showed that in APOE ɛ4 carriers and in younger participants, presence of SMC were associated with higher presence of Aβ (OR = 4.58, 95% CI = 1.83–11.49 for APOE ɛ4 carriers; OR = 3.73, 95% CI = 1.39–10.01 for younger individuals). Contrary, presence of SMC was not associated with high Aβ burden in APOE ɛ4 non-carriers or older participants (respectively OR = 0.74, 95% CI = 0.31–1.72; and OR = 1.24, 95% CI = 0.53–2.87). When we compared SUVR’s according to APOE ɛ4 status and SMC presence, APOE ɛ4 carriers who presented with SMC showed higher [18F]flutemetamol SUVR (0.66 ± 0.15 versus 0.51 ± 0.06) and [11C]PiB SUVR (1.70 ± 0.48 versus 1.40 ± 0.36; Fig. 2) compared to APOE ɛ4 carriers without SMC, and compared to APOE ɛ4 non-carriers with or without SMC, as was previously reported in the [11C]PiB cohort [10].
DISCUSSION
The present study aimed to identify associations of SCD plus features SMC, APOE genotype, and older age with high Aβ burden as measured by use of amyloid PET in cognitively normal elderly. Our findings demonstrate that besides aging and APOE ɛ4 genotype, SMC was also associated with high Aβ burden. More specifically, SMC was indicative of high Aβ burden in younger participants and in APOE ɛ4 carriers.
In agreement with the recently proposed research criteria for SCD plus [17] and a previous study [35], our findings provides support for the value of older age, SMC, and APOE ɛ4 as indicators of preclinical AD, as demonstrated by their association with high Aβ burden.
In line with our findings, previous studies reported SMC as a determinant of high Aβ burden [9, 13], although results were not always consistent [27, 29]. In addition, a recently published meta-analysis reported no differences in prevalence of amyloid pathology in SMC compared to those without complaints [36]. In the present study, SMC was associated with high Aβ burden only in younger participants and APOE ɛ4 carriers. These findings underline the potential of a combination of features including SMC, APOE ɛ4 genotype, and age for identification of cognitively normal elderly with Aβ pathology.
Previous studies also reported conflicting results for the relationship between Aβ burden and episodic memory in individuals with SMC, where some studies found that lower episodic memory was related to higher Aβ burden [21, 29] while others found no such effect [11, 30]. In the present study, we found that, while SMC did show an association with high Aβ burden, objective performance on an episodic memory task was not related to Aβ pathology. As the present study was conducted in cognitively normal participants, none of them had significant memory impairment, which might explain the lack of association. These results also provide support for the notion that in the very early stages of preclinical AD, subjective experience of memory impairment may be more sensitive to decline than objective results on our currently available tests. SMC might be related to incipient AD pathology, supported by the findings of the present and other studies where participants having SMC showed higher prevalence of high Aβ burden [9, 13], which subsequently puts them at a higher risk of developing dementia due to AD.
We found an interaction between SMC and age for the association with high Aβ burden. Perhaps counter intuitively, we found that SMC are especially associated with increased risk of high Aβ burden in younger individuals. However, a previous study reported increased risk for future dementia in specifically younger patients with SMC [37]. These findings might indicate that older individuals more generally experience SMC, not specifically related to AD dementia. When SMC occurs despite a younger age, this could be an alarm signal, warranting further study.
The present findings of increased Aβ retention and a higher prevalence of high Aβ burden in APOE ɛ4 carriers, although restricted to those with SMC, are in line with previous studies [19–26] and comparable to the results from the [11C]PiB AIBL baseline cohort [10]. It has been reported that in APOE ɛ4 carriers, Aβ accumulation starts at a younger age than in non-carriers [38, 39], which results in higher Aβ burden in APOE ɛ4 carriers at a certain age as found in the present study. Furthermore, the prevalence of APOE ɛ4 in the [18F]flutemetamol cohort is comparable to findings in other cohorts of healthy individuals [19–21, 23], although lower than the APOE ɛ4 prevalence in the [11C]PiB cohort [10]. However, these findings can be attributed to the preferential enrichment for APOE ɛ4 carriers in the [11C]PiB cohort, enrichment criteria that were not applied to the subsequent recruitment of the [18F]flutemetamol cohort.
A strength of the present study is that it was carried out in a large sample of healthy participants recruited from the PET-imaging cohorts in the AIBL study. They will be reassessed at 18-month intervals, which will enable further investigation of SMC as indicator for (preclinical) AD. A potential limitation is that the present cohort is a convenience sample, which may therefore not be a true representation of the population at large.
The present findings revealed that SMC was associated with high Aβ burden, especially in APOE ɛ4 carriers and younger subjects. This may have important implications, as it suggests that screening for SMC increases efficiency, thereby reducing screening costs, to enrich a cognitively normal elderly cohort for high Aβ burden on PET. Therefore, besides aging and APOE genotype, SMC might be an important factor for identification of healthy elderly individuals with evidence of AD pathology eligible for secondary prevention disease modifying therapies [40].
Footnotes
ACKNOWLEDGMENTS
We thank the AIBL Study Group (
) and A/Prof. Michael Woodward, Dr. John Merory, Dr. Peter Drysdale, Dr. Rachel Mulligan, Dr. Uwe Ackermann, Dr. Gordon Chan, and Dr. Kenneth Young, for their assistance with this study. We thank Alzheimer Nederland and Internationale Stichting Alzheimer Onderzoek (ISAO) for providing fellowships to M.Z. to conduct the research at Austin Health, Heidelberg, Victoria, Australia.
The present study was supported by the Commonwealth Scientific Industrial Research Organization (CSIRO) P-Health Flagship Collaboration Fund through the Australian Imaging, Biomarkers and Lifestyle Flagship study of Ageing (Australian Imaging, Biomarkers and Lifestyle [AIBL]), the Science and Industry Endowment Fund (SIEF), GE Healthcare, the Austin Hospital Medical Research Foundation, Project Grant 1071430 from the National Health Medical Research Council (NHMRC) of Australia for collection and management of the data. CCR had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
