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Clinical and multimodal biomarker correlates of ADNI neuropathological findings

BACKGROUND: Autopsy series commonly report a high percentage of coincident pathologies in demented patients, including patients with a clinical diagnosis of dementia of the Alzheimer type (DAT). However many clinical and biomarker studies report cases with a single neurodegenerative disease. We exam...

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Autores principales: Toledo, Jon B, Cairns, Nigel J, Da, Xiao, Chen, Kewei, Carter, Deborah, Fleisher, Adam, Householder, Erin, Ayutyanont, Napatkamon, Roontiva, Auttawut, Bauer, Robert J, Eisen, Paul, Shaw, Leslie M, Davatzikos, Christos, Weiner, Michael W, Reiman, Eric M, Morris, John C, Trojanowski, John Q
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3893373/
https://www.ncbi.nlm.nih.gov/pubmed/24252435
http://dx.doi.org/10.1186/2051-5960-1-65
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author Toledo, Jon B
Cairns, Nigel J
Da, Xiao
Chen, Kewei
Carter, Deborah
Fleisher, Adam
Householder, Erin
Ayutyanont, Napatkamon
Roontiva, Auttawut
Bauer, Robert J
Eisen, Paul
Shaw, Leslie M
Davatzikos, Christos
Weiner, Michael W
Reiman, Eric M
Morris, John C
Trojanowski, John Q
author_facet Toledo, Jon B
Cairns, Nigel J
Da, Xiao
Chen, Kewei
Carter, Deborah
Fleisher, Adam
Householder, Erin
Ayutyanont, Napatkamon
Roontiva, Auttawut
Bauer, Robert J
Eisen, Paul
Shaw, Leslie M
Davatzikos, Christos
Weiner, Michael W
Reiman, Eric M
Morris, John C
Trojanowski, John Q
author_sort Toledo, Jon B
collection PubMed
description BACKGROUND: Autopsy series commonly report a high percentage of coincident pathologies in demented patients, including patients with a clinical diagnosis of dementia of the Alzheimer type (DAT). However many clinical and biomarker studies report cases with a single neurodegenerative disease. We examined multimodal biomarker correlates of the consecutive series of the first 22 Alzheimer’s Disease Neuroimaging Initiative autopsies. Clinical data, neuropsychological measures, cerebrospinal fluid Aβ, total and phosphorylated tau and α-synuclein and MRI and FDG-PET scans. RESULTS: Clinical diagnosis was either probable DAT or Alzheimer’s disease (AD)-type mild cognitive impairment (MCI) at last evaluation prior to death. All patients had a pathological diagnosis of AD, but only four had pure AD. A coincident pathological diagnosis of dementia with Lewy bodies (DLB), medial temporal lobe pathology (TDP-43 proteinopathy, argyrophilic grain disease and hippocampal sclerosis), referred to collectively here as MTL, and vascular pathology were present in 45.5%, 40.0% and 22.7% of these patients, respectively. Hallucinations were a strong predictor of coincident DLB (100% specificity) and a more severe dysexecutive profile was also a useful predictor of coincident DLB (80.0% sensitivity and 83.3% specificity). Occipital FDG-PET hypometabolism accurately classified coincident DLB (80% sensitivity and 100% specificity). Subjects with coincident MTL showed lower hippocampal volume. CONCLUSIONS: Biomarkers can be used to independently predict coincident AD and DLB pathology, a common finding in amnestic MCI and DAT patients. Cohorts with comprehensive neuropathological assessments and multimodal biomarkers are needed to characterize independent predictors for the different neuropathological substrates of cognitive impairment.
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spelling pubmed-38933732014-01-17 Clinical and multimodal biomarker correlates of ADNI neuropathological findings Toledo, Jon B Cairns, Nigel J Da, Xiao Chen, Kewei Carter, Deborah Fleisher, Adam Householder, Erin Ayutyanont, Napatkamon Roontiva, Auttawut Bauer, Robert J Eisen, Paul Shaw, Leslie M Davatzikos, Christos Weiner, Michael W Reiman, Eric M Morris, John C Trojanowski, John Q Acta Neuropathol Commun Research BACKGROUND: Autopsy series commonly report a high percentage of coincident pathologies in demented patients, including patients with a clinical diagnosis of dementia of the Alzheimer type (DAT). However many clinical and biomarker studies report cases with a single neurodegenerative disease. We examined multimodal biomarker correlates of the consecutive series of the first 22 Alzheimer’s Disease Neuroimaging Initiative autopsies. Clinical data, neuropsychological measures, cerebrospinal fluid Aβ, total and phosphorylated tau and α-synuclein and MRI and FDG-PET scans. RESULTS: Clinical diagnosis was either probable DAT or Alzheimer’s disease (AD)-type mild cognitive impairment (MCI) at last evaluation prior to death. All patients had a pathological diagnosis of AD, but only four had pure AD. A coincident pathological diagnosis of dementia with Lewy bodies (DLB), medial temporal lobe pathology (TDP-43 proteinopathy, argyrophilic grain disease and hippocampal sclerosis), referred to collectively here as MTL, and vascular pathology were present in 45.5%, 40.0% and 22.7% of these patients, respectively. Hallucinations were a strong predictor of coincident DLB (100% specificity) and a more severe dysexecutive profile was also a useful predictor of coincident DLB (80.0% sensitivity and 83.3% specificity). Occipital FDG-PET hypometabolism accurately classified coincident DLB (80% sensitivity and 100% specificity). Subjects with coincident MTL showed lower hippocampal volume. CONCLUSIONS: Biomarkers can be used to independently predict coincident AD and DLB pathology, a common finding in amnestic MCI and DAT patients. Cohorts with comprehensive neuropathological assessments and multimodal biomarkers are needed to characterize independent predictors for the different neuropathological substrates of cognitive impairment. BioMed Central 2013-10-09 /pmc/articles/PMC3893373/ /pubmed/24252435 http://dx.doi.org/10.1186/2051-5960-1-65 Text en Copyright © 2013 Toledo et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Toledo, Jon B
Cairns, Nigel J
Da, Xiao
Chen, Kewei
Carter, Deborah
Fleisher, Adam
Householder, Erin
Ayutyanont, Napatkamon
Roontiva, Auttawut
Bauer, Robert J
Eisen, Paul
Shaw, Leslie M
Davatzikos, Christos
Weiner, Michael W
Reiman, Eric M
Morris, John C
Trojanowski, John Q
Clinical and multimodal biomarker correlates of ADNI neuropathological findings
title Clinical and multimodal biomarker correlates of ADNI neuropathological findings
title_full Clinical and multimodal biomarker correlates of ADNI neuropathological findings
title_fullStr Clinical and multimodal biomarker correlates of ADNI neuropathological findings
title_full_unstemmed Clinical and multimodal biomarker correlates of ADNI neuropathological findings
title_short Clinical and multimodal biomarker correlates of ADNI neuropathological findings
title_sort clinical and multimodal biomarker correlates of adni neuropathological findings
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3893373/
https://www.ncbi.nlm.nih.gov/pubmed/24252435
http://dx.doi.org/10.1186/2051-5960-1-65
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