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  • 1
    In: JAMA Neurology, American Medical Association (AMA), Vol. 79, No. 10 ( 2022-10-01), p. 975-
    Abstract: National Institute on Aging–Alzheimer’s Association (NIA-AA) workgroups have proposed biological research criteria intended to identify individuals with preclinical Alzheimer disease (AD). Objective To assess the clinical value of these biological criteria to identify older individuals without cognitive impairment who are at near-term risk of developing symptomatic AD. Design, Setting, and Participants This longitudinal cohort study used data from 4 independent population-based cohorts (PREVENT-AD, HABS, AIBL, and Knight ADRC) collected between 2003 and 2021. Participants were older adults without cognitive impairment with 1 year or more of clinical observation after amyloid β and tau positron emission tomography (PET). Median clinical follow-up after PET ranged from 1.94 to 3.66 years. Exposures Based on binary assessment of global amyloid burden (A) and a composite temporal region of tau PET uptake (T), participants were stratified into 4 groups (A+T+, A+T−, A−T+, A−T−). Presence (+) or absence (−) of neurodegeneration (N) was assessed using temporal cortical thickness. Main Outcomes and Measures Each cohort was analyzed separately. Primary outcome was clinical progression to mild cognitive impairment (MCI), identified by a Clinical Dementia Rating score of 0.5 or greater in Knight ADRC and by consensus committee review in the other cohorts. Clinical raters were blind to imaging, genetic, and fluid biomarker data. A secondary outcome was cognitive decline, based on a slope greater than 1.5 SD below the mean of an independent subsample of individuals without cognitive impairment. Outcomes were compared across the biomarker groups. Results Among 580 participants (PREVENT-AD, 128; HABS, 153; AIBL, 48; Knight ADRC, 251), mean (SD) age ranged from 67 (5) to 76 (6) years across cohorts, with between 55% (137/251) and 74% (95/128) female participants. Across cohorts, 33% to 83% of A+T+ participants progressed to MCI during follow-up (mean progression time, 2-2.72 years), compared with less than 20% of participants in other biomarker groups. Progression further increased to 43% to 100% when restricted to A+T+(N+) individuals. Cox proportional hazard ratios for progression to MCI in the A+T+ group vs other biomarker groups were all 5 or greater. Many A+T+ nonprogressors also showed longitudinal cognitive decline, while cognitive trajectories in other groups remained predominantly stable. Conclusions and Relevance The clinical prognostic value of NIA-AA research criteria was confirmed in 4 independent cohorts, with most A+T+(N+) older individuals without cognitive impairment developing AD symptoms within 2 to 3 years.
    Type of Medium: Online Resource
    ISSN: 2168-6149
    Language: English
    Publisher: American Medical Association (AMA)
    Publication Date: 2022
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  • 2
    In: Brain, Oxford University Press (OUP), Vol. 146, No. 4 ( 2023-04-19), p. 1580-1591
    Abstract: Different tau biomarkers become abnormal at different stages of Alzheimer’s disease, with CSF phospho-tau typically becoming elevated at subthreshold levels of tau-PET binding. To capitalize on the temporal order of tau biomarker-abnormality and capture the earliest changes of tau accumulation, we implemented an observational study design to examine longitudinal changes in tau-PET, cortical thickness and cognitive decline in amyloid-β-positive individuals with elevated CSF p-tau levels (P+) but subthreshold Tau-PET retention (T−). To this end, individuals without dementia (i.e. cognitively unimpaired or mild cognitive impairment, n = 231) were selected from the BioFINDER-2 study. Amyloid-β-positive (A+) individuals were categorized into biomarker groups based on cut-offs for abnormal CSF p-tau217 and 18F-RO948 (Tau) PET, yielding groups of tau-concordant-negative (A+P−T−; n = 30), tau-discordant (i.e. A+P+T−; n = 48) and tau-concordant-positive (A+P+T+; n = 18) individuals. In addition, 135 amyloid-β-negative, tau-negative, cognitively unimpaired individuals served as controls. Differences in annual change in regional tau-PET, cortical thickness and cognition between the groups were assessed using general linear models, adjusted for age, sex, clinical diagnosis and (for cognitive measures only) education. Mean follow-up time was ∼2 years. Longitudinal increase in tau-PET was faster in the A+P+T− group than in the control and A+P−T− groups across medial temporal and neocortical regions, with the highest accumulation rates in the medial temporal lobe. The A+P+T− group showed a slower rate of increase in tau-PET compared to the A+P+T+ group, primarily in neocortical regions. We did not detect differences in yearly change in cortical thickness or in cognitive decline between the A+P+T− and A+P−T− groups. The A+P+T+ group, however, showed faster cognitive decline compared to all other groups. Altogether, these findings suggest that the A+P+T− biomarker profile in persons without dementia is associated with an isolated effect on increased tau-PET accumulation rates but not on cortical thinning and cognitive decline. While this suggests that the tau-discordant biomarker profile is not strongly associated with short-term clinical decline, this group does represent an interesting population for monitoring the effects of interventions with disease-modifying agents on tau accumulation in early Alzheimer’s disease, and for examining the emergence of tau aggregates in Alzheimer’s disease. Further, we suggest updating the AT(N) criteria for Alzheimer’s disease biomarker classification to APT(N).
    Type of Medium: Online Resource
    ISSN: 0006-8950 , 1460-2156
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 1474117-9
    SSG: 12
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  • 3
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. 10 ( 2022-10), p. 1832-1845
    Abstract: The evidence for characteristics of persons with subjective cognitive decline (SCD) associated with amyloid positivity is limited. Methods In 1640 persons with SCD from 20 Amyloid Biomarker Study cohort, we investigated the associations of SCD‐specific characteristics (informant confirmation, domain‐specific complaints, concerns, feelings of worse performance) demographics, setting, apolipoprotein E gene ( APOE ) ε4 carriership, and neuropsychiatric symptoms with amyloid positivity. Results Between cohorts, amyloid positivity in 70‐year‐olds varied from 10% to 76%. Only older age, clinical setting, and APOE ε4 carriership showed univariate associations with increased amyloid positivity. After adjusting for these, lower education was also associated with increased amyloid positivity. Only within a research setting, informant‐confirmed complaints, memory complaints, attention/concentration complaints, and no depressive symptoms were associated with increased amyloid positivity. Feelings of worse performance were associated with less amyloid positivity at younger ages and more at older ages. Discussion Next to age, setting, and APOE ε4 carriership, SCD‐specific characteristics may facilitate the identification of amyloid‐positive individuals.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
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  • 4
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. S1 ( 2022-12)
    Abstract: National Institute on Aging‐Alzheimer’s Association workgroups have proposed biological research criteria to identify individuals with preclinical Alzheimer’s disease (AD). It remains unclear whether cognitively unimpaired individuals with abnormality in both amyloid (A) and tau (T) biomarkers will go on to develop a clinical AD syndrome. In two independent cohorts, we investigated whether elevated tau‐PET signal in persons with elevated amyloid‐PET predicts near‐term conversion to mild cognitive impairment (MCI). We also tested whether neurodegeneration (N), a non‐specific marker typical of later‐stage AD, improved such prediction. Method We studied 128 cognitively unimpaired participants from the parental history‐positive PREVENT‐AD cohort and 153 individuals from the Harvard Aging Brain Study. Participants had 〉 1 year of clinical evaluation following tau‐PET scanning (PREVENT‐AD median follow‐up time = 3.21 years [1.51‐4.50]; HABS median=1.94 years [1.13‐5.42] ). At the time of PET, participants were stratified as abnormal (+) or normal (‐) on global amyloid‐PET (A), a temporal tau‐PET meta‐ROI (T), and hippocampal volume (N). Tau‐PET scans were also visually inspected for significant neocortical binding. Result Within the A+T+ groups, 61.5% (8/13; PREVENT‐AD) and 45.5% (5/11; HABS) of participants converted to MCI during follow‐up, compared with 〈 13% of participants in all other PET‐biomarker groups (Figures 1 & 2). In Cox regression models, hazard ratios for conversion to MCI in the A+T+ group vs. the other biomarker groups were all 〉 5 (Figure 3). Importantly, the majority of the A+T+ “non‐converters” still showed longitudinal cognitive decline (80% in PREVENT‐AD and 50% in HABS), suggesting likely future clinical progression (Figures 4 and 5). By contrast, cognitive trajectories in the A+T‐, A‐T+, and A‐T‐ groups remained predominantly stable. Evidence of neurodegeneration increased MCI conversion rates in the A+T+ group to 75%, though ∼33% of A+T+N‐ individuals also progressed (Figure 6). Conclusion Among two cohorts of cognitively unimpaired older individuals, abnormality in both amyloid‐ and tau‐PET biomarkers was associated a dramatic increase in MCI progression within a short period of time as compared against individuals having only amyloid pathology or no pathology. These findings support the clinical prognostic relevance of a biological definition of AD in individuals without cognitive impairment.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
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  • 5
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. S1 ( 2022-12)
    Abstract: In Alzheimer’s disease (AD), younger symptom onset is associated accelerated cognitive decline and tau spreading, yet the drivers of faster disease manifestation in patients with earlier symptom onset are unknown. Earlier symptom onset is associated with stronger tau pathology in fronto‐parietal regions which typically harbor globally connected hubs that are central for cognition. Since tau spreads across connected regions, globally connected hubs may accelerate tau spreading due to their large number of connections to other brain regions. Thus, we hypothesized that a pattern shift of tau pathology towards globally connected brain hubs may facilitate tau spreading and earlier symptom manifestation in AD. Method We included two independent samples with longitudinal Flortaucipir tau‐PET covering the AD spectrum (ADNI: n(controls/AD‐preclinical/AD‐symptomatic)=93/60/89, BioFINDER, n(controls/AD‐preclinical/AD‐symptomatic)=16/16/25). In addition, we included resting‐state fMRI from human connectome project participants (n=1000), applying a 200‐ROI brain atlas to obtain a global connectivity map for assessing brain hubs (Fig.1A‐D). Applying the same atlas to tau‐PET we transformed SUVRs to tau positivities using a pre‐established gaussian‐mixture modeling approach (Fig.1E‐F). By mapping tau‐PET positivities to the fMRI‐derived global connectivity map (Fig.1G‐L), we assessed the degree to which subject specific tau‐PET patterns were shifted towards globally connected hubs or non‐hubs, while adjusting for global tau levels. Using linear regression, we then tested whether a stronger shift of tau towards hubs was associated with earlier symptom manifestation and faster longitudinal tau accumulation. Result In symptomatic AD patients, younger age was associated with a stronger shift of tau‐PET towards globally connected brain hubs (p[ADNI/BiOFINDER]=0.024/0.018, Fig.2A & B), and with higher global connectivity of epicenters with highest tau pathology (p[ADNI/BiOFINDER] 〈 0.001/0.001, Fig.2C & D). In symptomatic AD, younger age (p[ADNI/BiOFINDER]=0.009/0.001) and a stronger shift of tau‐PET towards hubs predicted faster subsequent tau accumulation (p[ADNI/BiOFINDER] =0.004/0.002), supporting the view that that hubs facilitate tau spreading (Fig.3). Further, a stronger shift of tau‐PET towards globally connected brain hubs mediated the association between younger age and faster tau accumulation in symptomatic AD patients (p[ADNI/BiOFINDER]=0.039/0.046). Conclusion Younger AD symptom onset is associated with stronger tau pathology in globally connected brain hubs, which facilitates faster tau spreading.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
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  • 6
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. S1 ( 2022-12)
    Abstract: Different tau biomarkers become abnormal at different stages of Alzheimer’s disease (AD), with CSF p‐tau typically being elevated at subthreshold levels of tau‐PET binding. To capitalize on the temporal order of tau biomarker‐abnormality and capture the earliest changes of tau accumulation, we selected a group of amyloid‐β‐positive (A+) individuals with elevated CSF p‐tau levels but negative tau‐PET scans and assessed longitudinal changes in tau‐PET, cortical thickness and cognitive decline. Method Individuals without dementia (i.e., cognitively unimpaired (CU) or mild cognitive impairment, n=231) were selected from the BioFINDER‐2 study. These subjects were categorized into biomarker groups based on Gaussian mixture modelling to determine cut‐offs for abnormal CSF Aβ42/40 (A; 〈 0.078), CSF p‐tau 217 (P; 〉 110 pg/ml) and [ 18 F]RO948 tau‐PET SUVR within a temporal meta‐ROI (T; SUVR 〉 1.40). Resulting groups were: A+P‐T‐ (concordant, n=30), A+P+T‐ (discordant, n=48) and A+P+T+ (concordant, n=18). We additionally used 135 A‐ CU individuals (A‐ CU) as a reference group (Tables 1 and 2). Differences in annual change in regional tau‐PET SUVR, cortical thickness and cognition between the A+P+T‐ group and the other groups were assessed using general linear models, adjusted for age, sex, clinical diagnosis and (for cognitive measures) education. Result Longitudinal change in tau‐PET was faster in the A+P+T‐ group than in the A‐ CU and A+P‐T‐ groups across medial temporal and neocortical regions, with the medial temporal increases being more pronounced. The A+P+T‐ group showed slower rate of increases in tau‐PET compared to the A+P+T+ group, primarily in neocortical regions (Figures 1 and 2). We did not detect differences in yearly change in cortical thickness (Figure 3) or in cognitive decline (Figure 3) between the A+P+T‐ and A+P‐T‐ groups. The A+P+T+ group, however, showed faster cognitive decline compared to all other groups. Conclusion These findings suggest that the A+P+T‐ biomarker profile is associated with early tau accumulation, and with relative sparing of cortical thinning and cognitive decline compared to A+P+T+ individuals. Therefore, the A+P+T‐ group represents an interesting target‐group for early anti‐tau interventions and for examining the emergence of tau aggregates in early AD.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
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  • 7
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. S6 ( 2022-12)
    Abstract: The medial temporal lobe (MTL) is hypothesized to be relatively spared in early‐onset compared to late‐onset Alzheimer’s disease (AD). However, detailed examination of MTL subfields comparing amnestic early‐ and late‐onset AD is lacking. We investigate MTL subfield atrophy patterns in individuals with amnestic early‐ and late‐onset cognitive impairment (EOCI and LOCI). Methods Cognitively impaired (mild cognitive impairment and dementia) adults from the BioFINDER‐2 study with memory impairment ( 〉 1.5SD age‐ and education‐specific norms), amyloid‐beta (Aβ+ based on CSF Aβ42/40), and tau positivity were included (Table 1). [ 18 F]RO948‐PET standardized uptake value ratios (SUVRs) were calculated for the MTL, and tau‐PET positivity was determined from a temporal meta‐ROI. EOCI individuals were 〈 65 years, LOCI 〉 70 years of age. Self‐reported age‐of‐onset matched with EO/LO status. Two reference groups of Aβ‐ cognitively unimpaired (CU) which were age‐matched to EOCI/LOCI were included. Hippocampal subfield volumes and thickness of entorhinal cortex, Brodmann areas (BA)35/36, and parahippocampal cortex were obtained using Automated Segmentation for Hippocampal Subfields packages for T1‐ and T2‐weighted MRI. We focused particularly on BA35, region with earliest tau accumulation. Episodic memory was determined (errors on delayed word‐list recall). Results Compared to CU, LOCI showed widespread atrophy across all MTL subfields, while the atrophy pattern in EOCI was slightly more restrictive (Fig. 1). Compared to EOCI, LOCI showed more severe atrophy in hippocampal subfields and entorhinal cortex. There was no difference between EOCI and LOCI for MTL tau‐PET SUVR (Fig. 2). Zooming in on BA35, there was a trend for an association between MTL tau‐PET SUVR and BA35 atrophy in LOCI. This association was stronger for EOCI but non‐significant, likely due to limited power (Fig. 2C). In both groups, smaller BA35 was associated with worse episodic memory (Fig. 3A). In LOCI, higher MTL tau‐PET SUVR was associated with worse episodic memory (Fig. 3B). Conclusion The findings suggest that MTL tau‐PET uptake and atrophy is present in both amnestic LOCI/EOCI and is related to the observed memory impairment in these groups. The MTL atrophy pattern is more extensive in LOCI, which may be due to longer presence of tau pathology and/or the involvement of comorbid pathologies.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
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  • 8
    In: Alzheimer's & Dementia, Wiley, Vol. 19, No. S3 ( 2023-06)
    Abstract: While higher levels of Aβ and tau pathology are typically associated with more pronounced cognitive decline in Alzheimer’s disease (AD), some older adults exhibit normal cognition even with a substantial burden of AD pathology. This phenomenon is known as ‘cognitive resilience’. The potential role of structural connectivity in cognitive resilience remains inconclusive. The present study tested whether higher global efficiency in structural brain networks moderate the relationship between AD pathology and cognitive performance in the preclinical phase of AD. Method We studied 118 cognitively normal older adults from the family history enriched Prevent‐AD cohort. Diffusion‐weighted MRI was used to measure the structural connectome, PET to measure global Aβ (18F‐NAV4694) and entorhinal tau (18F‐Flortaucipir) pathology, and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) to evaluate cognitive performance. We first used graph theory analyses to calculate global efficiency of networks known to be affected in early AD (i.e., limbic and default mode network (DMN)). Then multiple linear regressions were performed to examine relationships between Aβ / tau pathology, cognitive performance, and global efficiency of the two subnetworks. Interaction analyses were used to examine whether network efficiency attenuates the relationships between AD pathology and cognitive performance. Result As expected, higher levels of Aβ and tau pathology in the brain were associated with worse cognitive performance in individuals at risk of AD (Figure 1). Higher entorhinal tau pathology was also associated with lower global efficiency in the limbic network (Figure 2). Subsequent interaction analyses showed that global efficiency in the limbic moderated the relationships between AD pathology and cognitive performance. Specifically, higher global efficiency was associated with an attenuated effect of both amyloid and tau pathology on delayed memory performance (Figure 3). Conclusion Individuals with higher global efficiency in the limbic structural network exhibit better memory performance at a given level of AD pathology in preclinical stages of the disease. Structural network properties of the brain may play an important role in maintaining cognitive performance in the face of AD pathology, and could serve as a potential biomarker for cognitive resilience.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
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  • 9
    In: Alzheimer's & Dementia, Wiley, Vol. 13, No. 7S_Part_23 ( 2017-07)
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    Language: English
    Publisher: Wiley
    Publication Date: 2017
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  • 10
    In: Alzheimer's & Dementia, Wiley, Vol. 14, No. 7S_Part_8 ( 2018-07)
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    Language: English
    Publisher: Wiley
    Publication Date: 2018
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