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| 001 | 281802 | ||
| 005 | 20251112125157.0 | ||
| 024 | 7 | _ | |a 10.1002/alz.70783 |2 doi |
| 024 | 7 | _ | |a 1552-5260 |2 ISSN |
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| 037 | _ | _ | |a DZNE-2025-01188 |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Biel, Davina |0 0000-0002-2597-1992 |b 0 |
| 245 | _ | _ | |a A systematic comparison of ATN biomarkers for monitoring longitudinal cognitive changes in Alzheimer's disease |
| 260 | _ | _ | |a Hoboken, NJ |c 2025 |b Wiley |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1762947938_29016 |2 PUB:(DE-HGF) |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a INTRODUCTIONWith anti-amyloid beta (Aβ) therapies approved for Alzheimer's disease (AD), surrogate biomarkers are needed to monitor clinical treatment efficacy. Therefore, we systematically compared longitudinal changes in A/T/N biomarkers (amyloid-positron emission tomography [PET], tau-PET, plasma phosphorylated tau at threonine 217 [p-tau217], and magnetic resonance imaging) for tracking cognitive changes.METHODSWe analyzed longitudinal biomarker and cognitive change rates from the Alzheimer's Disease Neuroimaging Initiative (N = 141) and Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) and Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) (N = 151), estimated using linear mixed models. Using linear models, we tested biomarker changes as predictors of cognitive changes, comparing predictive strengths across biomarkers using bootstrapping.RESULTSTau-PET, plasma p-tau217, and cortical thickness changes accurately tracked change rates in Mini-Mental State Examination, Alzheimer's Disease Assessment Scale-Cognitive Subscale 13-item version, Clinical Dementia Rating-Sum of Boxes, and Preclinial Alzheimer Cognitive Composite scores. In contrast, amyloid-PET change rates were not linked to cognitive changes.DISCUSSIONPlasma p-tau217 offers a cost-effective AD-specific alternative to tau-PET and could potentially be implemented for monitoring cognitive changes in AD trials, while amyloid-PET lacks utility. Cortical thickness changes accurately track cognitive changes but may be confounded by pseudo-atrophy in anti-Aβ treatments. |
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| 700 | 1 | _ | |a Steward, Anna |b 1 |
| 700 | 1 | _ | |a Dewenter, Anna |b 2 |
| 700 | 1 | _ | |a Dehsarvi, Amir |b 3 |
| 700 | 1 | _ | |a Zhu, Zeyu |b 4 |
| 700 | 1 | _ | |a Roemer-Cassiano, Sebastian N |b 5 |
| 700 | 1 | _ | |a Frontzkowski, Lukas |b 6 |
| 700 | 1 | _ | |a Hirsch, Fabian |b 7 |
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| 700 | 1 | _ | |a Franzmeier, Nicolai |0 0000-0001-9736-2283 |b 11 |
| 773 | _ | _ | |a 10.1002/alz.70783 |g Vol. 21, no. 10, p. e70783 |0 PERI:(DE-600)2201940-6 |n 10 |p e70783 |t Alzheimer's and dementia |v 21 |y 2025 |x 1552-5260 |
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