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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-8758479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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