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FDG and Amyloid PET in Cognitively Normal Individuals at Risk for Late-Onset Alzheimer’s Disease

Having a parent affected by late-onset Alzheimer’s disease (AD) is a major risk factor for cognitively normal (NL) individuals. This study explores the potential of PET with (18)F-FDG and the amyloid- β (Aβ) tracer (11)C-Pittsburgh Compound B (PiB) for detection of individual risk in NL adults with...

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Autores principales: Murray, John, Tsui, Wai H., Li, Yi, McHugh, Pauline, Williams, Schantel, Cummings, Megan, Pirraglia, Elizabeth, Solnes, Lilja, Osorio, Ricardo, Glodzik, Lidia, Vallabhajosula, Shankar, Drzezga, Alexander, Minoshima, Satoshi, de Leon, Mony J., Mosconi, Lisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4270202/
https://www.ncbi.nlm.nih.gov/pubmed/25530915
http://dx.doi.org/10.4236/ami.2014.42003
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author Murray, John
Tsui, Wai H.
Li, Yi
McHugh, Pauline
Williams, Schantel
Cummings, Megan
Pirraglia, Elizabeth
Solnes, Lilja
Osorio, Ricardo
Glodzik, Lidia
Vallabhajosula, Shankar
Drzezga, Alexander
Minoshima, Satoshi
de Leon, Mony J.
Mosconi, Lisa
author_facet Murray, John
Tsui, Wai H.
Li, Yi
McHugh, Pauline
Williams, Schantel
Cummings, Megan
Pirraglia, Elizabeth
Solnes, Lilja
Osorio, Ricardo
Glodzik, Lidia
Vallabhajosula, Shankar
Drzezga, Alexander
Minoshima, Satoshi
de Leon, Mony J.
Mosconi, Lisa
author_sort Murray, John
collection PubMed
description Having a parent affected by late-onset Alzheimer’s disease (AD) is a major risk factor for cognitively normal (NL) individuals. This study explores the potential of PET with (18)F-FDG and the amyloid- β (Aβ) tracer (11)C-Pittsburgh Compound B (PiB) for detection of individual risk in NL adults with AD-parents. METHODS: FDG− and PiB-PET was performed in 119 young to late-middle aged NL individuals including 80 NL with positive family history of AD (FH+) and 39 NL with negative family history of any dementia (FH−). The FH+ group included 50 subjects with maternal (FHm) and 30 with paternal family history (FHp). Individual FDG and PiB scans were Z scored on a voxel-wise basis relative to modality-specific reference databases using automated procedures and rated as positive or negative (+/−) for AD-typical abnormalities using predefined criteria. To determine the effect of age, the cohort was separated into younger (49 ± 9 y) and older (68 ± 5 y) groups relative to the median age (60 y). RESULTS: Among individuals of age >60 y, as compared to controls, NL FH+ showed a higher frequency of FDG+ scans vs. FH− (53% vs. 6% p < 0.003), and a trend for PiB+ scans (27% vs. 11%; p = 0.19). This effect was observed for both FHm and FHp groups. Among individuals of age ≤60 y, NL FHm showed a higher frequency of FDG+ scans (29%) compared to FH− (5%, p = 0.04) and a trend compared to FHp (11%) (p = 0.07), while the distribution of PiB+ scans was not different between groups. In both age cohorts, FDG+ scans were more frequent than PiB+ scans among NL FH+, especially FHm (p < 0.03). FDG-PET was a significant predictor of FH+ status. Classification according to PiB status was significantly less successful. CONCLUSIONS: Automated analysis of FDG− and PiB-PET demonstrates higher rates of abnormalities in at-risk FH+ vs FH− subjects, indicating potentially ongoing early AD-pathology in this population. The frequency of metabolic abnormalities was higher than that of Aβ pathology in the younger cohort, suggesting that neuronal dysfunction may precede major aggregated Aβ burden in young NL FH+. Longitudinal follow-up is required to determine if the observed abnormalities predict future AD.
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spelling pubmed-42702022014-12-18 FDG and Amyloid PET in Cognitively Normal Individuals at Risk for Late-Onset Alzheimer’s Disease Murray, John Tsui, Wai H. Li, Yi McHugh, Pauline Williams, Schantel Cummings, Megan Pirraglia, Elizabeth Solnes, Lilja Osorio, Ricardo Glodzik, Lidia Vallabhajosula, Shankar Drzezga, Alexander Minoshima, Satoshi de Leon, Mony J. Mosconi, Lisa Adv J Mol Imaging Article Having a parent affected by late-onset Alzheimer’s disease (AD) is a major risk factor for cognitively normal (NL) individuals. This study explores the potential of PET with (18)F-FDG and the amyloid- β (Aβ) tracer (11)C-Pittsburgh Compound B (PiB) for detection of individual risk in NL adults with AD-parents. METHODS: FDG− and PiB-PET was performed in 119 young to late-middle aged NL individuals including 80 NL with positive family history of AD (FH+) and 39 NL with negative family history of any dementia (FH−). The FH+ group included 50 subjects with maternal (FHm) and 30 with paternal family history (FHp). Individual FDG and PiB scans were Z scored on a voxel-wise basis relative to modality-specific reference databases using automated procedures and rated as positive or negative (+/−) for AD-typical abnormalities using predefined criteria. To determine the effect of age, the cohort was separated into younger (49 ± 9 y) and older (68 ± 5 y) groups relative to the median age (60 y). RESULTS: Among individuals of age >60 y, as compared to controls, NL FH+ showed a higher frequency of FDG+ scans vs. FH− (53% vs. 6% p < 0.003), and a trend for PiB+ scans (27% vs. 11%; p = 0.19). This effect was observed for both FHm and FHp groups. Among individuals of age ≤60 y, NL FHm showed a higher frequency of FDG+ scans (29%) compared to FH− (5%, p = 0.04) and a trend compared to FHp (11%) (p = 0.07), while the distribution of PiB+ scans was not different between groups. In both age cohorts, FDG+ scans were more frequent than PiB+ scans among NL FH+, especially FHm (p < 0.03). FDG-PET was a significant predictor of FH+ status. Classification according to PiB status was significantly less successful. CONCLUSIONS: Automated analysis of FDG− and PiB-PET demonstrates higher rates of abnormalities in at-risk FH+ vs FH− subjects, indicating potentially ongoing early AD-pathology in this population. The frequency of metabolic abnormalities was higher than that of Aβ pathology in the younger cohort, suggesting that neuronal dysfunction may precede major aggregated Aβ burden in young NL FH+. Longitudinal follow-up is required to determine if the observed abnormalities predict future AD. 2014-04 /pmc/articles/PMC4270202/ /pubmed/25530915 http://dx.doi.org/10.4236/ami.2014.42003 Text en Copyright © 2014 by authors and Scientific Research Publishing Inc. http://creativecommons.org/licenses/by/4.0/ This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Murray, John
Tsui, Wai H.
Li, Yi
McHugh, Pauline
Williams, Schantel
Cummings, Megan
Pirraglia, Elizabeth
Solnes, Lilja
Osorio, Ricardo
Glodzik, Lidia
Vallabhajosula, Shankar
Drzezga, Alexander
Minoshima, Satoshi
de Leon, Mony J.
Mosconi, Lisa
FDG and Amyloid PET in Cognitively Normal Individuals at Risk for Late-Onset Alzheimer’s Disease
title FDG and Amyloid PET in Cognitively Normal Individuals at Risk for Late-Onset Alzheimer’s Disease
title_full FDG and Amyloid PET in Cognitively Normal Individuals at Risk for Late-Onset Alzheimer’s Disease
title_fullStr FDG and Amyloid PET in Cognitively Normal Individuals at Risk for Late-Onset Alzheimer’s Disease
title_full_unstemmed FDG and Amyloid PET in Cognitively Normal Individuals at Risk for Late-Onset Alzheimer’s Disease
title_short FDG and Amyloid PET in Cognitively Normal Individuals at Risk for Late-Onset Alzheimer’s Disease
title_sort fdg and amyloid pet in cognitively normal individuals at risk for late-onset alzheimer’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4270202/
https://www.ncbi.nlm.nih.gov/pubmed/25530915
http://dx.doi.org/10.4236/ami.2014.42003
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