| 1. |
- Berron, David, et al.
(författare)
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Hippocampal subregional thinning related to tau pathology in early stages of Alzheimer’s disease
- 2022
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Ingår i: Alzheimer's and Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 18:S1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Subregions in the medial temporal lobe (MTL) are affected early by Alzheimer’s disease (AD) pathology and subject to grey matter atrophy. Measuring the earliest AD-related atrophy in the hippocampus is challenging as region-of-interest (ROI) analyses of hippocampal subregional volumes collapse across voxels within anatomical subregions. PET imaging studies, however, report accumulation of tau pathology between anatomical subregions in the earliest disease stages (Berron et al., 2021) fitting reports from the neuropathological literature (Lace et al., 2019; Ravikumar et al., 2021). Thus, sensitive in vivo methods of point-wise structural measures are needed in order to detect the earliest hippocampal thinning in AD along the anterior-posterior as well as the medial-lateral hippocampal axis. Method: Here we analyzed data from 76 amyloid-beta negative (Ab-) cognitively normal (CN), 46 Ab+ CN individuals and 25 Ab+ patients with mild cognitive impairment (MCI) from the BioFINDER-2 study, who underwent 7 Tesla T2-weighted structural magnetic resonance imaging, tau positron emission tomography imaging (using 18F-RO-948) and cognitive assessments. First, we segmented hippocampal subfields and extrahippocampal subregions. Second, we calculated point-wise hippocampal thickness estimates (Diers et al.) of hippocampal subfields subiculum, cornu ammonis (CA)1, CA2 and CA3 on the level of the hippocampal body. Thirdly, we extracted local tau-PET SUVR from Area 35 (A35), entorhinal cortex and amygdala. Finally, we assessed relationships between hippocampal local thickness and tau accumulation as well as cognitive performance. Result: Our analyses revealed earliest hippocampal thinning associated with tau accumulation in an area spanning the boundary of subiculum and CA1 at the level of the anterior hippocampal body. Ab+ MCI patients showed more posterior thinning in comparison to Ab- CU participants. Median thickness in an ROI comprising vertices with A35 tau-related thinning (A35-TauThinning-ROI) was significantly lower in MCI Ab+ and tended to be lower in CU Ab+ compared to CU Ab-. Higher median thickness in the hippocampal A35-TauThinning-ROI, but not whole CA1 nor subiculum thickness, was associated with better 10-Word-Delayed-Recall and higher PACC scores. Conclusion: Our results suggest that tau-related thinning of hippocampal subregions can be observed already in early disease stages. Tau-related point-wise thickness measures were more sensitive compared to volumetric measures of anatomical subregions.
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| 2. |
- Binette, Alexa Pichet, et al.
(författare)
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Amyloid-associated increases in soluble tau is a key driver in accumulation of tau aggregates and cognitive decline in early Alzheimer
- 2022
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Ingår i: Alzheimer's and Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 18:S1
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Tidskriftsartikel (refereegranskat)abstract
- Background: For optimal design of anti-amyloid-β (Aβ) and anti-tau clinical trials, it is important to understand how Aβ and soluble phosphorylated tau (p-tau) relate to the accumulation of tau aggregates assessed with positron emission tomography (PET) and subsequent cognitive decline across the Alzheimer's disease (AD) continuum. Method: We included 327 participants from the Swedish BioFINDER-2 cohort with cerebrospinal fluid (CSF) p-tau217, Aβ-PET, longitudinal tau-PET, and longitudinal cognition. The main groups of interest were Aβ-positive non-demented participants and AD dementia patients (Table 1 and Figure 1), and analyses were conducted separately in each group. First, we investigated how soluble p-tau217 and regional Aβ-PET were associated with tau-PET rate of change across the 200 brain parcels from the Schaefer atlas. We also tested the mediating effect of p-tau217 between Aβ-PET and tau-PET change. Second, we investigated how soluble p-tau217 and tau-PET change related to change in cognition, and mediation between these variables. Result: In early AD stages (non-demented participants), increased concentration of soluble p-tau217 was the main driver of accumulation of insoluble tau aggregates across the brain (measured as tau-PET rate of change), beyond the effect of regional Aβ-PET and baseline tau-PET (Figure 2A-C). Further, averaged across all regions, soluble p-tau217 mediated 54% of the association between Aβ and tau aggregation (Figure 2D). Higher soluble p-tau217 concentrations were also associated with cognitive decline, which was mediated by faster increase of tau aggregates (Figure 3). Repeating the same analyses in the AD dementia group, results were different. In late stage of AD, when Aβ fibrils and soluble p-tau levels have plateaued, soluble p-tau217 was not associated with accumulation of tau aggregates beyond baseline tau-PET (Figure 4A), and cognitive decline was driven by the accumulation rate of insoluble tau aggregates and not soluble p-tau217 (Figure 4B-C). Conclusion: Soluble p-tau is a main driver of tau aggregation and future cognitive decline in earlier stages of AD, whereas tau aggregation accumulation is more likely an important driver of disease in later stages. Overall, our data suggest that therapeutic approaches reducing soluble p-tau levels might be most favorable in early AD.
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| 3. |
- Boada, Mercè, et al.
(författare)
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Complementary pre-screening strategies to uncover hidden prodromal and mild Alzheimer's disease : Results from the MOPEAD project
- 2022
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Ingår i: Alzheimer's and Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 18:6, s. 1119-1127
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: The Models of Patient Engagement for Alzheimer's Disease (MOPEAD) project was conceived to explore innovative complementary strategies to uncover hidden prodromal and mild Alzheimer's disease (AD) dementia cases and to raise awareness both in the general public and among health professionals about the importance of early diagnosis. Methods: Four different strategies or RUNs were used: (a) a web-based (WB) prescreening tool, (2) an open house initiative (OHI), (3) a primary care–based protocol for early detection of cognitive decline (PC), and (4) a tertiary care–based pre-screening at diabetologist clinics (DC). Results: A total of 1129 patients at high risk of having prodromal AD or dementia were identified of 2847 pre-screened individuals (39.7%). The corresponding proportion for the different initiatives were 36.8% (WB), 35.6% (OHI), 44.4% (PC), and 58.3% (DC). Conclusion: These four complementary pre-screening strategies were useful for identifying individuals at high risk of having prodromal or mild AD.
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| 4. |
- Cullen, Nicholas C., et al.
(författare)
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Test-retest variability of plasma biomarkers in Alzheimer's disease and its effects on clinical prediction models
- 2023
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Ingår i: Alzheimers & Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 19:3, s. 797-806
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Tidskriftsartikel (refereegranskat)abstract
- INTRODUCTION The effect of random error on the performance of blood-based biomarkers for Alzheimer's disease (AD) must be determined before clinical implementation. METHODS We measured test-retest variability of plasma amyloid beta (A beta)42/A beta 40, neurofilament light (NfL), glial fibrillary acidic protein (GFAP), and phosphorylated tau (p-tau)217 and simulated effects of this variability on biomarker performance when predicting either cerebrospinal fluid (CSF) A beta status or conversion to AD dementia in 399 non-demented participants with cognitive symptoms. RESULTS Clinical performance was highest when combining all biomarkers. Among single-biomarkers, p-tau217 performed best. Test-retest variability ranged from 4.1% (A beta 42/A beta 40) to 25% (GFAP). This variability reduced the performance of the biomarkers (approximate to Delta AUC [area under the curve] -1% to -4%) with the least effects on models with p-tau217. The percent of individuals with unstable predicted outcomes was lowest for the multi-biomarker combination (14%). DISCUSSION Clinical prediction models combining plasma biomarkers-particularly p-tau217-exhibit high performance and are less effected by random error. Individuals with unstable predicted outcomes ("gray zone") should be recommended for further tests.
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| 5. |
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| 6. |
- Groot, Colin, et al.
(författare)
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A biomarker profile of elevated CSF p-tau with normal tau PET is associated with increased tau accumulation rates on PET in early Alzheimer’s disease
- 2022
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Ingår i: Alzheimer's and Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 18:S1
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Tidskriftsartikel (refereegranskat)abstract
- Background: 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-tau217 (P; >110 pg/ml) and [18F]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.
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| 7. |
- Gustavsson, Anders, et al.
(författare)
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Health utility in preclinical and prodromal Alzheimer's disease for establishing the value of new disease-modifying treatments—EQ-5D data from the Swedish BioFINDER study
- 2021
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Ingår i: Alzheimer's and Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 17:11, s. 1832-1842
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Tidskriftsartikel (refereegranskat)abstract
- Quality of life and health utility are important outcomes for patients with Alzheimer's disease (AD) and central for demonstrating the value of new treatments. Estimates in biomarker-confirmed AD populations are missing, potentially delaying payer approval of treatment. We examined whether health utility, assessed with the EuroQoL-5 3-level version (EQ-5D-3L), differed between individuals with a positive or negative amyloid beta (Aβ) biomarker in patients with mild cognitive impairment (MCI) and cognitively unimpaired (CU) participants from the Swedish BioFINDER study (n = 578). Participants with prodromal AD (Aβ-positive MCI) reported better health utility (n = 79, mean = 0.81, 95% confidence interval [CI] 0.77–0.85) than Aβ-negative MCI (mean = 0.71, 95% CI 0.64–0.78), but worse than controls (Aβ-negative CU, mean = 0.87, 95% CI 0.86–0.89). Health utility in preclinical AD (Aβ-positive CU; mean = 0.86, 95% CI 0.83–0.89) was similar to controls. This relatively good health utility in prodromal AD suggests a larger value of delaying progression to dementia than previously anticipated and a great value of delaying clinical progression in preclinical AD.
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| 8. |
- Hansson, Oskar, et al.
(författare)
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CSF biomarkers of Alzheimer's disease concord with amyloid-β PET and predict clinical progression : A study of fully automated immunoassays in BioFINDER and ADNI cohorts
- 2018
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Ingår i: Alzheimer's and Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 14:11, s. 1470-1481
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: We studied whether fully automated Elecsys cerebrospinal fluid (CSF) immunoassay results were concordant with positron emission tomography (PET) and predicted clinical progression, even with cutoffs established in an independent cohort. Methods: Cutoffs for Elecsys amyloid-β1–42 (Aβ), total tau/Aβ(1–42), and phosphorylated tau/Aβ(1–42) were defined against [18F]flutemetamol PET in Swedish BioFINDER (n = 277) and validated against [18F]florbetapir PET in Alzheimer's Disease Neuroimaging Initiative (n = 646). Clinical progression in patients with mild cognitive impairment (n = 619) was studied. Results: CSF total tau/Aβ(1–42) and phosphorylated tau/Aβ(1–42) ratios were highly concordant with PET classification in BioFINDER (overall percent agreement: 90%; area under the curve: 94%). The CSF biomarker statuses established by predefined cutoffs were highly concordant with PET classification in Alzheimer's Disease Neuroimaging Initiative (overall percent agreement: 89%–90%; area under the curves: 96%) and predicted greater 2-year clinical decline in patients with mild cognitive impairment. Strikingly, tau/Aβ ratios were as accurate as semiquantitative PET image assessment in predicting visual read–based outcomes. Discussion: Elecsys CSF biomarker assays may provide reliable alternatives to PET in Alzheimer's disease diagnosis.
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| 9. |
- Janelidze, Shorena, et al.
(författare)
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Detecting amyloid positivity in early Alzheimer's disease using combinations of plasma A beta 42/A beta 40 and p-tau
- 2022
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Ingår i: Alzheimers & Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 18:2, s. 283-293
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: We studied usefulness of combining blood amyloid beta A(beta)42/A beta 40, phosphorylated tau (p-tau)217, and neurofilament light (NfL) to detect abnormal brain A beta deposition in different stages of early Alzheimer's disease (AD). Methods: Plasma biomarkers were measured using mass spectrometry (A beta 42/A beta 40) and immunoassays (p-tau217 and NfL) in cognitively unimpaired individuals (CU, N = 591) and patients with mild cognitive impairment (MCI, N = 304) from two independent cohorts (BioFINDER-1, BioFINDER-2). Results: In CU, a combination of plasma A beta 42/A beta 40 and p-tau217 detected abnormal brain A beta status with area under the curve (AUC) of 0.83 to 0.86. In MCI, the models including p-tau217 alone or A beta 42/A beta 40 and p-tau217 had similar AUCs (0.86-0.88); however, the latter showed improved model fit. The models were implemented in an online application providing individualized risk assessments (https://brainapps.shinyappas.io/PredictAAbplasma/). Discussion:A combination of plasma A beta 42/A beta 40 and p-tau217 discriminated A beta status with relatively high accuracy, whereas p-tau217 showed strongest associations with A beta pathology in MCI but not in CU.
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| 10. |
- Leuzy, Antoine, et al.
(författare)
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Robustness of CSF Aβ42/40 and Aβ42/P-tau181 measured using fully automated immunoassays to detect AD-related outcomes
- 2023
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Ingår i: Alzheimer's and Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 19:7, s. 2994-3004
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: This study investigated the comparability of cerebrospinal fluid (CSF) cutoffs for Elecsys immunoassays for amyloid beta (Aβ)42/Aβ40 or Aβ42/phosphorylated tau (p-tau)181 and the effects of measurement variability when predicting Alzheimer's disease (AD)-related outcomes (i.e., Aβ-positron emission tomography [PET] visual read and AD neuropathology). Methods: We studied 750 participants (BioFINDER study, Alzheimer's Disease Neuroimaging Initiative [ADNI], and University of California San Francisco [UCSF]). Youden's index was used to identify cutoffs and to calculate accuracy (Aβ-PET visual read as outcome). Using longitudinal variability in Aβ-negative controls, we identified a gray zone around cut-points where the risk of an inconsistent predicted outcome was >5%. Results: For Aβ42/Aβ40, cutoffs across cohorts were <0.059 (BioFINDER), <0.057 (ADNI), and <0.058 (UCSF). For Aβ42/p-tau181, cutoffs were <41.90 (BioFINDER), <39.20 (ADNI), and <46.02 (UCSF). Accuracy was ≈90% for both Aβ42/Aβ40 and Aβ42/p-tau181 using these cutoffs. Using Aβ-PET as an outcome, 8.7% of participants fell within a gray zone interval for Aβ42/Aβ40, compared to 4.5% for Aβ42/p-tau181. Similar findings were observed using a measure of overall AD neuropathologic change (7.7% vs. 3.3%). In a subset with CSF and plasma Aβ42/40, the number of individuals within the gray zone was ≈1.5 to 3 times greater when using plasma Aβ42/40. Discussion: CSF Aβ42/p-tau181 was more robust to the effects of measurement variability, suggesting that it may be the preferred Elecsys-based measure in clinical practice and trials.
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