Cued memory decline in biomarker-defined preclinical Alzheimer disease.
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ABSTRACT: Objective
To determine whether a decline in cued recall is observable in the preclinical stage of Alzheimer disease (AD) in clinically normal older adults with elevated ?-amyloid (A?) burden on PET imaging.Methods
Clinically normal older adults underwent baseline neuroimaging (PET to assess A?+/- status and MRI) and annual neuropsychological testing. Cox proportional hazards models were used to assess the relative risk of cued memory decline (drop of 1, 2, 3, or 4 points on the total score of the Free and Cued Selective Reminding Test) in relation to neuroimaging measures, functional status, age, sex, and education.Results
A total of 276 older adults (Clinical Dementia Rating = 0, mean Mini-Mental State Examination score = 29 ± 1.06) were followed up for a mean of 3.6 ± 1.2 years. Despite the infrequency of cued memory decline (only 19% of participants scored ?46/48 in total recall by year 3), A?+ participants were 3.55 times (95% confidence interval = 1.77-7.12) more likely to exhibit decline in total recall (?46/48) compared with their A?- peers. Furthermore, A?+ participants who scored ?46/48 had smaller hippocampal volumes (t = 3.37, p = 0.001) and evidence of early functional decline, i.e., greater risk of progression to global Clinical Dementia Rating of 0.5 (?2 = 14.30, p < 0.001), compared with their A?+ peers with intact total recall.Conclusions
Cued memory decline in healthy older adults may be particularly indicative of A?-related decline during the preclinical stage of AD and useful for identifying A?+ clinically normal individuals at greatest risk of short-term clinical progression.
SUBMITTER: Papp KV
PROVIDER: S-EPMC5386436 | biostudies-literature | 2017 Apr
REPOSITORIES: biostudies-literature
Publications
Cued memory decline in biomarker-defined preclinical Alzheimer disease.
Papp Kathryn V KV Rentz Dorene M DM Mormino Elizabeth C EC Schultz Aaron P AP Amariglio Rebecca E RE Quiroz Yakeel Y Johnson Keith A KA Sperling Reisa A RA
Neurology 20170310 15
<h4>Objective</h4>To determine whether a decline in cued recall is observable in the preclinical stage of Alzheimer disease (AD) in clinically normal older adults with elevated β-amyloid (Aβ) burden on PET imaging.<h4>Methods</h4>Clinically normal older adults underwent baseline neuroimaging (PET to assess Aβ<sup>+/-</sup> status and MRI) and annual neuropsychological testing. Cox proportional hazards models were used to assess the relative risk of cued memory decline (drop of 1, 2, 3, or 4 poin ...[more]
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Project description:Importance:Older age, high levels of ?-amyloid (A?), and the presence of the apolipoprotein E (APOE) ?4 allele are risk factors for Alzheimer disease (AD). However, the extent to which increasing age, A?, and ?4 are associated with memory decline remains unclear, and the age at which memory decline begins for A?-positive ?4 carriers and noncarriers has not been determined. Objective:To determine the association of age, A? level, and APOE ?4 with memory decline in a large group of cognitively healthy older adults. Design, Setting, and Participants:This longitudinal observational study included cognitively healthy older adults (age >60 years) enrolled in the Australian Imaging, Biomarkers and Lifestyle (AIBL) study from March 31, 2006, through March 31, 2017; of 1583 individuals enrolled, 1136 refused or were excluded owing to other criteria (eg, having mild cognitive impairment or AD). Participants underwent A? imaging in research clinics in Perth and Melbourne and more than 72 months of follow-up (at 18-month intervals). The association of age with memory was fitted to a quadratic model. Age was treated as a continuous, time-dependent variable. Exposures:?-Amyloid imaging using positron emission tomography, genotyping for APOE ?4, and longitudinal neuropsychological assessments of episodic memory during the 72-month follow-up. Main Outcomes and Measures:Episodic memory composite score. Results:Of the 447 participants, 203 (45.4%) were men and 244 (54.6%) were women; mean (SD) age was 72.5 (6.6) years. Equal proportions of female participants were observed in each A?-?4 group (24 of 51 A?-positive ?4 noncarriers [47.1%] ; 35 of 64 A?-negative ?4 carriers [54.7%]; 40 of 72 A?-positive ?4 carriers [55.6%]; and 145 of 260 A?-negative ?4 noncarriers [55.8%]). Adults with A? findings (mean [SD] age, 74.4 [6.8] years) were approximately 4 years older than those negative for A? (mean [SD] age, 69.8 [6.1] years). Memory decline diverged significantly from A?-negative ?4 noncarriers at an earlier age in A?-positive ?4 carriers (64.5 years) than in A?-positive ?4 noncarriers (76.5 years), such that by 85 years of age, A?-positive ?4 carriers performed approximately 1.5 SD units worse on the episodic memory composite than A?-negative ?4 noncarriers and approximately 0.8 SD units worse than A?-positive ?4 noncarriers. Memory performance of A?-negative ?4 carriers did not differ from that of the A?-negative ?4 noncarriers (estimate [SE], 0.001 [0.001]; t?=?0.526; P?=?.77). Conclusions and Relevance:Prior work has shown that A? and ?4 combine to influence memory decline in nondemented older adults. Results of this study indicate that increasing age may further exacerbate these effects. The estimates provided may be used to determine the risk of memory decline associated with A? and ?4 at each age.
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Project description:ObjectiveTo determine the time required for a preclinical Alzheimer disease population to decline in a meaningful way, use estimates of decline to update previous clinical trial design assumptions, and identify factors that modify β-amyloid (Aβ)-related decline.MethodsIn 1,120 cognitively unimpaired individuals from 3 international cohorts, we estimated the relationship between Aβ status and longitudinal changes across multiple cognitive domains and assessed interactions between Aβ and baseline factors. Power analyses were performed to explore sample size as a function of treatment effect.ResultsCognitively unimpaired Aβ+ participants approach mild cognitive impairment (MCI) levels of performance 6 years after baseline, on average. Achieving 80% power in a simulated 4-year treatment trial, assuming a 25% treatment effect, required 2,000 participants/group. Multiple factors interacted with Aβ to predict cognitive decline; however, these findings were all cohort-specific. Despite design differences across the cohorts, with large sample sizes and sufficient follow-up time, the Aβ+ groups declined consistently on cognitive composite measures.ConclusionsA preclinical AD population declines to the cognitive performance of an early MCI population in 6 years. Slowing this rate of decline by 40%-50% delays clinically relevant impairment by 3 years-a potentially meaningful treatment effect. However, assuming a 40%-50% drug effect highlights the difficulties in preclinical AD trial design, as a more commonly assumed treatment effect of 25% results in a required sample size of 2,000/group. Designers of preclinical AD treatment trials need to prepare for larger and longer trials than are currently being considered. Interactions with Aβ status were inconsistent and not readily generalizable.
| S-EPMC6669933 | biostudies-literature
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Project description:ObjectiveTo examine the utility of resting-state functional connectivity MRI (rs-fcMRI) measurements of network integrity as a predictor of future cognitive decline in preclinical Alzheimer disease (AD).MethodsA total of 237 clinically normal older adults (aged 63-90 years, Clinical Dementia Rating 0) underwent baseline ?-amyloid (A?) imaging with Pittsburgh compound B PET and structural and rs-fcMRI. We identified 7 networks for analysis, including 4 cognitive networks (default, salience, dorsal attention, and frontoparietal control) and 3 noncognitive networks (primary visual, extrastriate visual, motor). Using linear and curvilinear mixed models, we used baseline connectivity in these networks to predict longitudinal changes in preclinical Alzheimer cognitive composite (PACC) performance, both alone and interacting with A? burden. Median neuropsychological follow-up was 3 years.ResultsBaseline connectivity in the default, salience, and control networks predicted longitudinal PACC decline, unlike connectivity in the dorsal attention and all noncognitive networks. Default, salience, and control network connectivity was also synergistic with A? burden in predicting decline, with combined higher A? and lower connectivity predicting the steepest curvilinear decline in PACC performance.ConclusionsIn clinically normal older adults, lower functional connectivity predicted more rapid decline in PACC scores over time, particularly when coupled with increased A? burden. Among examined networks, default, salience, and control networks were the strongest predictors of rate of change in PACC scores, with the inflection point of greatest decline beyond the fourth year of follow-up. These results suggest that rs-fcMRI may be a useful predictor of early, AD-related cognitive decline in clinical research settings.
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Project description:Identifying which neuropsychological measures detect early cognitive changes associated with Alzheimer disease (AD), brain pathology would be helpful clinically for the diagnosis of early AD and for the design of clinical trials. We evaluated which neuropsychological measures in our cognitive battery are most strongly associated with cerebrospinal fluid (CSF) biomarkers of AD brain pathology. We studied a large cohort (n = 233) of middle-to older-aged community-dwelling individuals (mean age 61 years) who had no clinical symptoms of dementia and underwent baseline CSF collection at baseline. Participants completed a battery of 9 neuropsychological measures at baseline and then every 1 to 3 years. CSF tau/A?42 was associated with baseline performance on 5/9 neuropsychological measures, especially measures of episodic memory, and longitudinal performance on 7/9 neuropsychological measures, especially measures of global cognition. The free recall portion of the Free and Cued Selective Reminding Task (FCSRT-free) detected declining cognition in the high CSF tau/A?42 group the earliest, followed by another measure of episodic memory and a sequencing task.
| S-EPMC5505233 | biostudies-literature
Project description:ImportanceAlzheimer disease (AD) pathology starts with a prolonged phase of β-amyloid (Aβ) accumulation without symptoms. The duration of this phase differs greatly among individuals. While this disease phase has high relevance for clinical trial designs, it is currently unclear how to best predict the onset of clinical progression.ObjectiveTo evaluate combinations of different plasma biomarkers for predicting cognitive decline in Aβ-positive cognitively unimpaired (CU) individuals.Design, setting, and participantsThis prospective population-based prognostic study evaluated data from 2 prospective longitudinal cohort studies (the Swedish BioFINDER-1 and the Wisconsin Registry for Alzheimer Prevention [WRAP]), with data collected from February 8, 2010, to October 21, 2020, for the BioFINDER-1 cohort and from August 11, 2011, to June 27, 2021, for the WRAP cohort. Participants were CU individuals recruited from memory clinics who had brain Aβ pathology defined by cerebrospinal fluid (CSF) Aβ42/40 in the BioFINDER-1 study and by Pittsburgh Compound B (PiB) positron emission tomography (PET) in the WRAP study. A total of 564 eligible Aβ-positive and Aβ-negative CU participants with available relevant data from the BioFINDER-1 and WRAP cohorts were included in the study; of those, 171 Aβ-positive participants were included in the main analyses.ExposuresBaseline P-tau181, P-tau217, P-tau231, glial fibrillary filament protein, and neurofilament light measured in plasma; CSF biomarkers in the BioFINDER-1 cohort, and PiB PET uptake in the WRAP cohort.Main outcomes and measuresThe primary outcome was longitudinal measures of cognition (using the Mini-Mental State Examination [MMSE] and the modified Preclinical Alzheimer Cognitive Composite [mPACC]) over a median of 6 years (range, 2-10 years). The secondary outcome was conversion to AD dementia. Baseline biomarkers were used in linear regression models to predict rates of longitudinal cognitive change (calculated separately). Models were adjusted for age, sex, years of education, apolipoprotein E ε4 allele status, and baseline cognition. Multivariable models were compared based on model R2 coefficients and corrected Akaike information criterion.ResultsAmong 171 Aβ-positive CU participants included in the main analyses, 119 (mean [SD] age, 73.0 [5.4] years; 60.5% female) were from the BioFINDER-1 study, and 52 (mean [SD] age, 64.4 [4.6] years; 65.4% female) were from the WRAP study. In the BioFINDER-1 cohort, plasma P-tau217 was the best marker to predict cognitive decline in the mPACC (model R2 = 0.41) and the MMSE (model R2 = 0.34) and was superior to the covariates-only models (mPACC: R2 = 0.23; MMSE: R2 = 0.04; P < .001 for both comparisons). Results were validated in the WRAP cohort; for example, plasma P-tau217 was associated with mPACC slopes (R2 = 0.13 vs 0.01 in the covariates-only model; P = .01) and MMSE slopes (R2 = 0.29 vs 0.24 in the covariates-only model; P = .046). Sparse models were identified with plasma P-tau217 as a predictor of cognitive decline. Power calculations for enrichment in hypothetical clinical trials revealed large relative reductions in sample sizes when using plasma P-tau217 to enrich for CU individuals likely to experience cognitive decline over time.Conclusions and relevanceIn this study, plasma P-tau217 predicted cognitive decline in patients with preclinical AD. These findings suggest that plasma P-tau217 may be used as a complement to CSF or PET for participant selection in clinical trials of novel disease-modifying treatments.
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Project description:ImportanceIndividuals in the presymptomatic stage of Alzheimer disease (AD) are increasingly being targeted for AD secondary prevention trials. How early during the normal life span underlying AD pathologies begin to develop, their patterns of change over time, and their relationship with future cognitive decline remain to be determined.ObjectiveTo characterize the within-person trajectories of cerebrospinal fluid (CSF) biomarkers of AD over time and their association with changes in brain amyloid deposition and cognitive decline in cognitively normal middle-aged individuals.Design, setting, and participantsAs part of a cohort study, cognitively normal (Clinical Dementia Rating [CDR] of 0) middle-aged research volunteers (n = 169) enrolled in the Adult Children Study at Washington University, St Louis, Missouri, had undergone serial CSF collection and longitudinal clinical assessment (mean, 6 years; range, 0.91-11.3 years) at 3-year intervals at the time of analysis, between January 2003 and November 2013. A subset (n = 74) had also undergone longitudinal amyloid positron emission tomographic imaging with Pittsburgh compound B (PiB) in the same period. Serial CSF samples were analyzed for β-amyloid 40 (Aβ40), Aβ42, total tau, tau phosphorylated at threonine 181 (P-tau181), visinin-like protein 1 (VILIP-1), and chitinase-3-like protein 1 (YKL-40). Within-person measures were plotted according to age and AD risk defined by APOE genotype (ε4 carriers vs noncarriers). Linear mixed models were used to compare estimated biomarker slopes among middle-age bins at baseline (early, 45-54 years; mid, 55-64 years; late, 65-74 years) and between risk groups. Within-person changes in CSF biomarkers were also compared with changes in cortical PiB binding and progression to a CDR higher than 0 at follow-up.Main outcomes and measuresChanges in Aβ40, Aβ42, total tau, P-tau181, VILIP-1, and YKL-40 and, in a subset of participants, changes in cortical PiB binding.ResultsWhile there were no consistent longitudinal patterns in Aβ40 (P = .001-.97), longitudinal reductions in Aβ42 were observed in some individuals as early as early middle age (P ≤ .05) and low Aβ42 levels were associated with the development of cortical PiB-positive amyloid plaques (area under receiver operating characteristic curve = 0.9352; 95% CI, 0.8895-0.9808), especially in mid middle age (P < .001). Markers of neuronal injury (total tau, P-tau181, and VILIP-1) dramatically increased in some individuals in mid and late middle age (P ≤ .02), whereas the neuroinflammation marker YKL-40 increased consistently throughout middle age (P ≤ .003). These patterns were more apparent in at-risk ε4 carriers (Aβ42 in an allele dose-dependent manner) and appeared to be associated with future cognitive deficits as determined by CDR.Conclusions and relevanceLongitudinal CSF biomarker patterns consistent with AD are first detectable during early middle age and are associated with later amyloid positivity and cognitive decline. Such measures may be useful for targeting middle-aged, asymptomatic individuals for therapeutic trials designed to prevent cognitive decline.
| S-EPMC4570860 | biostudies-literature
Project description:ObjectiveTo examine whether β-amyloid (Aβ) and APOE ε4 status independently contribute or interact to influence longitudinal cognitive decline in clinically normal older individuals (CN).MethodsData from 490 CNs were aggregated across 3 observational cohort studies (Harvard Aging Brain Study, Alzheimer's Disease Neuroimaging Initiative, and Australian Imaging Biomarkers and Lifestyle Study of Ageing; median age = 75.0 years, 255 female), and the contributions of APOE ε4 and Aβ on longitudinal change over a median of 1.49 years were examined. Cognitive decline was assessed with the Mini-Mental State Examination (MMSE) and Logical Memory (immediate and delayed recall scores).ResultsHigh Aβ participants were more likely to be APOE ε4+ than low Aβ participants. CNs who were both high Aβ and APOE ε4+ showed greater decline in Logical Memory immediate recall (p < 0.087), Logical Memory delayed recall (p < 0.024), and MMSE (p < 0.034) compared to all other groups (low Aβ/APOE ε4-, low Aβ/APOE ε4+, and high Aβ/APOE ε4-). No other pairwise contrast was significant for any cognitive measure.ConclusionsClinically normal individuals who are APOE ε4+ and have high Aβ showed the highest cognitive decline. These results suggest that Aβ and APOE ε4 are not redundant contributors of decline in aging but rather interact to promote decline during the short follow-up period examined in this study. Longer follow-up periods will be essential to fully elucidate the influence of Alzheimer disease risk factors on cognitive decline in aging.
| S-EPMC4035706 | biostudies-literature
Project description:As Alzheimer disease (AD) research moves to intervene in presymptomatic phases of the disease, we must develop outcome measures sensitive to the earliest disease-related changes.To demonstrate the feasibility of a cognitive composite outcome for clinically normal elderly participants with evidence of AD pathology using the ADCS Preclinical Alzheimer Cognitive Composite (ADCS-PACC). The ADCS-PACC combines tests that assess episodic memory, timed executive function, and global cognition. The ADCS-PACC is the primary outcome measure for the first clinical trial in preclinical AD (ie, the Anti-Amyloid Treatment in Asymptomatic Alzheimer's study).With the ADCS-PACC, we derive pilot estimates of amyloid-related decline using data from 2 observational studies conducted in North America and another conducted in Australia. The participants analyzed had normal cognition and mean ages of 75.81, 71.37, and 79.42 years across the 3 studies.For the 2 studies that collected data on A? levels (ADNI and AIBL), we estimate decline in a preclinical AD "A?-positive" placebo group and compare them with an "A?-negative" group. For the study that did not include data on A? levels (the ADCS Prevention Instrument [ADCS-PI] study), we grouped participants by the presence of APOE-?4 and by clinical progression.In ADNI, A?-positive participants showed more decline than did A?-negative participants with regard to the ADCS-PACC score at 24 months (mean [SE] difference, -1.239 [0.522] [95% CI, -2.263 to -0.215]; P?=?.02). In AIBL, the mean (SE) difference is significant at both 18 months (-1.009 [0.406] [95% CI, -1.805 to -0.213]; P?=?.01) and 36 months (-1.404 [0.452] [95% CI, -2.290 to -0.519]; P?=?.002). In the ADCS-PI study, APOE-?4 allele carriers performed significantly worse on the ADCS-PACC at 24 months (mean [SE] score, -0.742 [0.294] [95% CI, -1.318 to -0.165]; P?=?.01) and 36 months (-1.531 [0.469] [95% CI, -2.450 to -0.612]; P?=?.001). In the ADCS-PI study, cognitively normal participants who progress from a global Clinical Dementia Rating score of 0 are significantly worse on the ADCS-PACC than cognitively normal participants who are stable with a global Clinical Dementia Rating score of 0 at months 12, 24, and 36 (mean [SE] ADCS-PACC score, -4.471 [0.702] [95% CI, -5.848 to -3.094]; P?<?.001). Using pilot estimates of variance and assuming 500 participants per group with 30% attrition and a 5% ? level, we project 80% power to detect effects in the range of ??=?0.467 to 0.733 on the ADCS-PACC.Analyses of at-risk cognitively normal populations suggest that we can reliably measure the first signs of cognitive decline with the ADCS-PACC. These analyses also suggest the feasibility of secondary prevention trials.
| S-EPMC4439182 | biostudies-literature
Project description:Importance: Recent studies have suggested that unawareness, or anosognosia, of memory decline is present in predementia stages of Alzheimer disease (AD) and may serve as an early symptomatic indicator of AD.Objective: To investigate the evolution of anosognosia of memory decline in individuals who carry the PSEN1 E280A variant for autosomal dominant AD compared with family members who do not carry the variant.Design, setting, and participants: This cohort study investigated a total of 2379 members of a Colombian kindred with autosomal dominant AD who were part of the Alzheimer's Prevention Initiative Registry. Assessments were completed at the University of Antioquia, Colombia, with data collected between January 1, 2000, and July 31, 2019.Main outcomes and measures: Awareness of memory function was operationalized using the discrepancy between self-report and study partner report on a memory complaint scale. Linear mixed effects models were used to assess memory self-awareness over age separately in variant carriers and noncarriers.Results: This study included 396 variant carriers (mean [SD] age, 32.7 [11.9] years; 200 [50.5%] female), of whom 59 (14.9%) were cognitively impaired, and 1983 cognitively unimpaired noncarriers (mean [SD] age, 33.5 [12.5] years; 1129 [56.9%] female). The variant carriers demonstrated increased awareness until the mean (SD) age of 35.0 (2.0) years and had anosognosia at approximately 43 years of age, approximately 6 years before their estimated median age of dementia onset (49 years; 95% CI, 49-51 years). Cognitively unimpaired noncarriers reported more complaints than their study partners aged 20 and 60 years (10.1 points, P?<?.001). On the awareness index, a decrease with age (mean [SE] estimate, -0.04 [0.02] discrepant-points per years; t?=?-2.2; P?=?.03) in the noncarriers and in the variant carriers (mean [SE] estimate, -0.21 [0.04] discrepant-points per years; t?=?-5.1; P?<?.001) was observed.Conclusions and relevance: In this cohort study, increased participant complaints were observed in both groups, suggesting that increased awareness of memory function was common and nonspecific to AD in this cohort. In variant carriers, awareness of memory function decreased in the predementia stages, reaching anosognosia close to the age of mild cognitive impairment onset, providing support for the usefulness of awareness of memory decline.
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