Modeling amyloid plaque turnover dynamics improves characterization of drug effects

The plaque turnover model describes natural progression and BACE and mAb intervention.The model estimation of the underlying plaque elimination half-life is 6.4 years.Approach improves cross-study comparison independently of population and study design.Predictions of alternative regimens/therapeutic approaches will aid future study design.

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Publication Details

Journal
Alzheimer s & Dementia Translational Research & Clinical Interventions
Published
2025-10-01
DOI
https://doi.org/10.1002/trc2.70169
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Modeling amyloid plaque turnover dynamics improves characterization of drug effects

Julie A. Stone, Stephen B. Duffull, Eline van Maanen, Idriss Bennacef et al.
Alzheimer s & Dementia Translational Research & Clinical Interventions
Alzheimer's disease research and treatments
article

Modeling amyloid plaque turnover dynamics improves characterization of drug effects

Julie A. Stone, Stephen B. Duffull, Eline van Maanen, Idriss Bennacef, Matthew Kennedy, Seth Robey, Michael Egan
article en

Abstract

The plaque turnover model describes natural progression and BACE and mAb intervention.The model estimation of the underlying plaque elimination half-life is 6.4 years.Approach improves cross-study comparison independently of population and study design.Predictions of alternative regimens/therapeutic approaches will aid future study design.

Alzheimer s & Dementia Translational Research & Clinical InterventionsVol. 11(4)
Merck & Co., Inc., Rahway, NJ, USA (United States) (US), Quantitative BioSciences (US)
Openalex Percentile: Top 56%
Alzheimer's disease research and treatments
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