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A new data analysis approach for measuring longitudinal changes of metabolism in cognitively normal elderly adults
INTRODUCTION: Previously, we discussed several critical barriers in including [(18)F] fluorodeoxyglucose positron emission tomography ([(18)F]FDG-PET) imaging of preclinical Alzheimer’s disease (AD) subjects. These factors included the reference region selection and intensity normalization of PET im...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734228/ https://www.ncbi.nlm.nih.gov/pubmed/29276381 http://dx.doi.org/10.2147/CIA.S150859 |
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author | Shokouhi, Sepideh Riddle, William R Kang, Hakmook |
author_facet | Shokouhi, Sepideh Riddle, William R Kang, Hakmook |
author_sort | Shokouhi, Sepideh |
collection | PubMed |
description | INTRODUCTION: Previously, we discussed several critical barriers in including [(18)F] fluorodeoxyglucose positron emission tomography ([(18)F]FDG-PET) imaging of preclinical Alzheimer’s disease (AD) subjects. These factors included the reference region selection and intensity normalization of PET images and the within- and across-subject variability of affected brain regions. In this study, we utilized a novel FDG-PET analysis, the regional FDG time correlation coefficient, rFTC, that can address and resolve these barriers and provide a more sensitive way of monitoring longitudinal changes in metabolism of cognitively normal elderly adults. The rFTC analysis captures the within-subject similarities between baseline and follow-up regional radiotracer distributions. METHODS: The rFTC trajectories of 27 cognitively normal subjects were calculated to identify 1) trajectories of rFTC decline in individual cognitively normal subjects; 2) how these trajectories correlate with the subjects’ cognitive test scores, baseline cerebrospinal fluid (CSF) levels of amyloid beta (Aβ), and apolipoprotein E4 (APOE-E4) status; and 3) whether similar trajectories are observed in regional/composite standardized uptake value ratio (SUVR) values. RESULTS: While some of the subjects maintained a stable rFTC trajectory, other subjects had declining and fluctuating rFTC values. We found that the rFTC decline was significantly higher in APOE-E4 carriers compared to noncarriers (p=0.04). We also found a marginally significant association between rFTC decline and cognitive decline measured by Alzheimer’s Disease Assessment Scale – cognitive subscale (ADAS_cog) decline (0.05). In comparison to the rFTC trajectories, the composite region of interest (ROI) SUVR trajectories did not change in any of the subjects. No individual/composite ROI SUVR changes contributed significantly to explaining changes in ADAS_cog, conversion to mild cognitive impairment (MCI), or any general changes in clinical symptoms. CONCLUSION: The rFTC decline may serve as a new biomarker of early metabolic changes before the MCI stage. |
format | Online Article Text |
id | pubmed-5734228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57342282017-12-22 A new data analysis approach for measuring longitudinal changes of metabolism in cognitively normal elderly adults Shokouhi, Sepideh Riddle, William R Kang, Hakmook Clin Interv Aging Original Research INTRODUCTION: Previously, we discussed several critical barriers in including [(18)F] fluorodeoxyglucose positron emission tomography ([(18)F]FDG-PET) imaging of preclinical Alzheimer’s disease (AD) subjects. These factors included the reference region selection and intensity normalization of PET images and the within- and across-subject variability of affected brain regions. In this study, we utilized a novel FDG-PET analysis, the regional FDG time correlation coefficient, rFTC, that can address and resolve these barriers and provide a more sensitive way of monitoring longitudinal changes in metabolism of cognitively normal elderly adults. The rFTC analysis captures the within-subject similarities between baseline and follow-up regional radiotracer distributions. METHODS: The rFTC trajectories of 27 cognitively normal subjects were calculated to identify 1) trajectories of rFTC decline in individual cognitively normal subjects; 2) how these trajectories correlate with the subjects’ cognitive test scores, baseline cerebrospinal fluid (CSF) levels of amyloid beta (Aβ), and apolipoprotein E4 (APOE-E4) status; and 3) whether similar trajectories are observed in regional/composite standardized uptake value ratio (SUVR) values. RESULTS: While some of the subjects maintained a stable rFTC trajectory, other subjects had declining and fluctuating rFTC values. We found that the rFTC decline was significantly higher in APOE-E4 carriers compared to noncarriers (p=0.04). We also found a marginally significant association between rFTC decline and cognitive decline measured by Alzheimer’s Disease Assessment Scale – cognitive subscale (ADAS_cog) decline (0.05). In comparison to the rFTC trajectories, the composite region of interest (ROI) SUVR trajectories did not change in any of the subjects. No individual/composite ROI SUVR changes contributed significantly to explaining changes in ADAS_cog, conversion to mild cognitive impairment (MCI), or any general changes in clinical symptoms. CONCLUSION: The rFTC decline may serve as a new biomarker of early metabolic changes before the MCI stage. Dove Medical Press 2017-12-14 /pmc/articles/PMC5734228/ /pubmed/29276381 http://dx.doi.org/10.2147/CIA.S150859 Text en © 2017 Shokouhi et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Shokouhi, Sepideh Riddle, William R Kang, Hakmook A new data analysis approach for measuring longitudinal changes of metabolism in cognitively normal elderly adults |
title | A new data analysis approach for measuring longitudinal changes of metabolism in cognitively normal elderly adults |
title_full | A new data analysis approach for measuring longitudinal changes of metabolism in cognitively normal elderly adults |
title_fullStr | A new data analysis approach for measuring longitudinal changes of metabolism in cognitively normal elderly adults |
title_full_unstemmed | A new data analysis approach for measuring longitudinal changes of metabolism in cognitively normal elderly adults |
title_short | A new data analysis approach for measuring longitudinal changes of metabolism in cognitively normal elderly adults |
title_sort | new data analysis approach for measuring longitudinal changes of metabolism in cognitively normal elderly adults |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734228/ https://www.ncbi.nlm.nih.gov/pubmed/29276381 http://dx.doi.org/10.2147/CIA.S150859 |
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