Cargando…
Effect of genotype and age on cerebral [(18)F]FDG uptake varies between transgenic APP(Swe)-PS1(dE9) and Tg2576 mouse models of Alzheimer’s disease
Back-translation of clinical imaging biomarkers of Alzheimer’s disease (AD), such as alterations in cerebral glucose metabolism detected by [(18)F]FDG positron emission tomography (PET), would be valuable for preclinical studies evaluating new disease-modifying drugs for AD. However, previous confou...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6450965/ https://www.ncbi.nlm.nih.gov/pubmed/30952945 http://dx.doi.org/10.1038/s41598-019-42074-4 |
_version_ | 1783409105729224704 |
---|---|
author | Snellman, Anniina Takkinen, Jatta S. López-Picón, Francisco R. Eskola, Olli Solin, Olof Rinne, Juha O. Haaparanta-Solin, Merja |
author_facet | Snellman, Anniina Takkinen, Jatta S. López-Picón, Francisco R. Eskola, Olli Solin, Olof Rinne, Juha O. Haaparanta-Solin, Merja |
author_sort | Snellman, Anniina |
collection | PubMed |
description | Back-translation of clinical imaging biomarkers of Alzheimer’s disease (AD), such as alterations in cerebral glucose metabolism detected by [(18)F]FDG positron emission tomography (PET), would be valuable for preclinical studies evaluating new disease-modifying drugs for AD. However, previous confounding results have been difficult to interpret due to differences in mouse models and imaging protocols between studies. We used an equivalent study design and [(18)F]FDG µPET imaging protocol to compare changes in cerebral glucose metabolism in commercial transgenic APP(Swe)-PS1(dE9) (n = 12), Tg2576 (n = 15), and wild-type mice (n = 15 and 9). Dynamic [(18)F]FDG scans were performed in young (6 months) and aged (12 or 17 months) mice and the results verified by ex vivo methods (i.e., tissue counting, digital autoradiography, and beta-amyloid and Iba-1 immunohistochemistry). [(18)F]FDG uptake exhibited significant regional differences between genotypes (TG < WT) and ages (6 months <12 months) in the APP(Swe)-PS1(dE9) model, whereas similar differences were not present in Tg2576 mice. In both models, only weak correlations were detected between regional beta-amyloid deposition or microgliosis and [(18)F]FDG uptake. By using equivalent methodology, this study demonstrated differences in cerebral glucose metabolism dysfunction detected with [(18)F]FDG PET between two widely used commercial AD mouse models. |
format | Online Article Text |
id | pubmed-6450965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64509652019-04-11 Effect of genotype and age on cerebral [(18)F]FDG uptake varies between transgenic APP(Swe)-PS1(dE9) and Tg2576 mouse models of Alzheimer’s disease Snellman, Anniina Takkinen, Jatta S. López-Picón, Francisco R. Eskola, Olli Solin, Olof Rinne, Juha O. Haaparanta-Solin, Merja Sci Rep Article Back-translation of clinical imaging biomarkers of Alzheimer’s disease (AD), such as alterations in cerebral glucose metabolism detected by [(18)F]FDG positron emission tomography (PET), would be valuable for preclinical studies evaluating new disease-modifying drugs for AD. However, previous confounding results have been difficult to interpret due to differences in mouse models and imaging protocols between studies. We used an equivalent study design and [(18)F]FDG µPET imaging protocol to compare changes in cerebral glucose metabolism in commercial transgenic APP(Swe)-PS1(dE9) (n = 12), Tg2576 (n = 15), and wild-type mice (n = 15 and 9). Dynamic [(18)F]FDG scans were performed in young (6 months) and aged (12 or 17 months) mice and the results verified by ex vivo methods (i.e., tissue counting, digital autoradiography, and beta-amyloid and Iba-1 immunohistochemistry). [(18)F]FDG uptake exhibited significant regional differences between genotypes (TG < WT) and ages (6 months <12 months) in the APP(Swe)-PS1(dE9) model, whereas similar differences were not present in Tg2576 mice. In both models, only weak correlations were detected between regional beta-amyloid deposition or microgliosis and [(18)F]FDG uptake. By using equivalent methodology, this study demonstrated differences in cerebral glucose metabolism dysfunction detected with [(18)F]FDG PET between two widely used commercial AD mouse models. Nature Publishing Group UK 2019-04-05 /pmc/articles/PMC6450965/ /pubmed/30952945 http://dx.doi.org/10.1038/s41598-019-42074-4 Text en © The Author(s) 2019 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/. |
spellingShingle | Article Snellman, Anniina Takkinen, Jatta S. López-Picón, Francisco R. Eskola, Olli Solin, Olof Rinne, Juha O. Haaparanta-Solin, Merja Effect of genotype and age on cerebral [(18)F]FDG uptake varies between transgenic APP(Swe)-PS1(dE9) and Tg2576 mouse models of Alzheimer’s disease |
title | Effect of genotype and age on cerebral [(18)F]FDG uptake varies between transgenic APP(Swe)-PS1(dE9) and Tg2576 mouse models of Alzheimer’s disease |
title_full | Effect of genotype and age on cerebral [(18)F]FDG uptake varies between transgenic APP(Swe)-PS1(dE9) and Tg2576 mouse models of Alzheimer’s disease |
title_fullStr | Effect of genotype and age on cerebral [(18)F]FDG uptake varies between transgenic APP(Swe)-PS1(dE9) and Tg2576 mouse models of Alzheimer’s disease |
title_full_unstemmed | Effect of genotype and age on cerebral [(18)F]FDG uptake varies between transgenic APP(Swe)-PS1(dE9) and Tg2576 mouse models of Alzheimer’s disease |
title_short | Effect of genotype and age on cerebral [(18)F]FDG uptake varies between transgenic APP(Swe)-PS1(dE9) and Tg2576 mouse models of Alzheimer’s disease |
title_sort | effect of genotype and age on cerebral [(18)f]fdg uptake varies between transgenic app(swe)-ps1(de9) and tg2576 mouse models of alzheimer’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6450965/ https://www.ncbi.nlm.nih.gov/pubmed/30952945 http://dx.doi.org/10.1038/s41598-019-42074-4 |
work_keys_str_mv | AT snellmananniina effectofgenotypeandageoncerebral18ffdguptakevariesbetweentransgenicappsweps1de9andtg2576mousemodelsofalzheimersdisease AT takkinenjattas effectofgenotypeandageoncerebral18ffdguptakevariesbetweentransgenicappsweps1de9andtg2576mousemodelsofalzheimersdisease AT lopezpiconfranciscor effectofgenotypeandageoncerebral18ffdguptakevariesbetweentransgenicappsweps1de9andtg2576mousemodelsofalzheimersdisease AT eskolaolli effectofgenotypeandageoncerebral18ffdguptakevariesbetweentransgenicappsweps1de9andtg2576mousemodelsofalzheimersdisease AT solinolof effectofgenotypeandageoncerebral18ffdguptakevariesbetweentransgenicappsweps1de9andtg2576mousemodelsofalzheimersdisease AT rinnejuhao effectofgenotypeandageoncerebral18ffdguptakevariesbetweentransgenicappsweps1de9andtg2576mousemodelsofalzheimersdisease AT haaparantasolinmerja effectofgenotypeandageoncerebral18ffdguptakevariesbetweentransgenicappsweps1de9andtg2576mousemodelsofalzheimersdisease |