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[(18)F]THK5317 imaging as a tool for predicting prospective cognitive decline in Alzheimer’s disease

Cross-sectional studies have indicated potential for positron emission tomography (PET) in imaging tau pathology in Alzheimer’s disease (AD); however, its prognostic utility remains unproven. In a longitudinal, multi-modal, prognostic study of cognitive decline, 20 patients with a clinical biomarker...

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Autores principales: Chiotis, Konstantinos, Savitcheva, Irina, Poulakis, Konstantinos, Saint-Aubert, Laure, Wall, Anders, Antoni, Gunnar, Nordberg, Agneta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758479/
https://www.ncbi.nlm.nih.gov/pubmed/32616831
http://dx.doi.org/10.1038/s41380-020-0815-4
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author Chiotis, Konstantinos
Savitcheva, Irina
Poulakis, Konstantinos
Saint-Aubert, Laure
Wall, Anders
Antoni, Gunnar
Nordberg, Agneta
author_facet Chiotis, Konstantinos
Savitcheva, Irina
Poulakis, Konstantinos
Saint-Aubert, Laure
Wall, Anders
Antoni, Gunnar
Nordberg, Agneta
author_sort Chiotis, Konstantinos
collection PubMed
description Cross-sectional studies have indicated potential for positron emission tomography (PET) in imaging tau pathology in Alzheimer’s disease (AD); however, its prognostic utility remains unproven. In a longitudinal, multi-modal, prognostic study of cognitive decline, 20 patients with a clinical biomarker-based diagnosis in the AD spectrum (mild cognitive impairment or dementia and a positive amyloid-beta PET scan) were recruited from the Cognitive Clinic at Karolinska University Hospital. The participants underwent baseline neuropsychological assessment, PET imaging with [(18)F]THK5317, [(11)C]PIB and [(18)F]FDG, magnetic resonance imaging, and in a subgroup cerebrospinal fluid (CSF) sampling, with clinical follow-up after a median 48 months (interquartile range = 32:56). In total, 11 patients declined cognitively over time, while 9 remained cognitively stable. The accuracy of baseline [(18)F]THK5317 binding in temporal areas was excellent at predicting future cognitive decline (area under the receiver operating curve 0.84–1.00) and the biomarker levels were strongly associated with the rate of cognitive decline (β estimate −33.67 to −31.02, p < 0.05). The predictive accuracy of the other baseline biomarkers was poor (area under the receiver operating curve 0.58–0.77) and their levels were not associated with the rate of cognitive decline (β estimate −4.64 to 15.78, p > 0.05). Baseline [(18)F]THK5317 binding and CSF tau levels were more strongly associated with the MMSE score at follow-up than at baseline (p < 0.05). These findings support a temporal dissociation between tau deposition and cognitive impairment, and suggest that [(18)F]THK5317 predicts future cognitive decline better than other biomarkers. The use of imaging markers for tau pathology could prove useful for clinical prognostic assessment and screening before inclusion in relevant clinical trials.
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spelling pubmed-87584792022-01-26 [(18)F]THK5317 imaging as a tool for predicting prospective cognitive decline in Alzheimer’s disease Chiotis, Konstantinos Savitcheva, Irina Poulakis, Konstantinos Saint-Aubert, Laure Wall, Anders Antoni, Gunnar Nordberg, Agneta Mol Psychiatry Article Cross-sectional studies have indicated potential for positron emission tomography (PET) in imaging tau pathology in Alzheimer’s disease (AD); however, its prognostic utility remains unproven. In a longitudinal, multi-modal, prognostic study of cognitive decline, 20 patients with a clinical biomarker-based diagnosis in the AD spectrum (mild cognitive impairment or dementia and a positive amyloid-beta PET scan) were recruited from the Cognitive Clinic at Karolinska University Hospital. The participants underwent baseline neuropsychological assessment, PET imaging with [(18)F]THK5317, [(11)C]PIB and [(18)F]FDG, magnetic resonance imaging, and in a subgroup cerebrospinal fluid (CSF) sampling, with clinical follow-up after a median 48 months (interquartile range = 32:56). In total, 11 patients declined cognitively over time, while 9 remained cognitively stable. The accuracy of baseline [(18)F]THK5317 binding in temporal areas was excellent at predicting future cognitive decline (area under the receiver operating curve 0.84–1.00) and the biomarker levels were strongly associated with the rate of cognitive decline (β estimate −33.67 to −31.02, p < 0.05). The predictive accuracy of the other baseline biomarkers was poor (area under the receiver operating curve 0.58–0.77) and their levels were not associated with the rate of cognitive decline (β estimate −4.64 to 15.78, p > 0.05). Baseline [(18)F]THK5317 binding and CSF tau levels were more strongly associated with the MMSE score at follow-up than at baseline (p < 0.05). These findings support a temporal dissociation between tau deposition and cognitive impairment, and suggest that [(18)F]THK5317 predicts future cognitive decline better than other biomarkers. The use of imaging markers for tau pathology could prove useful for clinical prognostic assessment and screening before inclusion in relevant clinical trials. Nature Publishing Group UK 2020-07-03 2021 /pmc/articles/PMC8758479/ /pubmed/32616831 http://dx.doi.org/10.1038/s41380-020-0815-4 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Chiotis, Konstantinos
Savitcheva, Irina
Poulakis, Konstantinos
Saint-Aubert, Laure
Wall, Anders
Antoni, Gunnar
Nordberg, Agneta
[(18)F]THK5317 imaging as a tool for predicting prospective cognitive decline in Alzheimer’s disease
title [(18)F]THK5317 imaging as a tool for predicting prospective cognitive decline in Alzheimer’s disease
title_full [(18)F]THK5317 imaging as a tool for predicting prospective cognitive decline in Alzheimer’s disease
title_fullStr [(18)F]THK5317 imaging as a tool for predicting prospective cognitive decline in Alzheimer’s disease
title_full_unstemmed [(18)F]THK5317 imaging as a tool for predicting prospective cognitive decline in Alzheimer’s disease
title_short [(18)F]THK5317 imaging as a tool for predicting prospective cognitive decline in Alzheimer’s disease
title_sort [(18)f]thk5317 imaging as a tool for predicting prospective cognitive decline in alzheimer’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758479/
https://www.ncbi.nlm.nih.gov/pubmed/32616831
http://dx.doi.org/10.1038/s41380-020-0815-4
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