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Alzheimer’s Disease-Related Metabolic Pattern in Diverse Forms of Neurodegenerative Diseases
Dementia is broadly characterized by cognitive and psychological dysfunction that significantly impairs daily functioning. Dementia has many causes including Alzheimer’s disease (AD), dementia with Lewy bodies (DLB), and frontotemporal lobar degeneration (FTLD). Detection and differential diagnosis...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624480/ https://www.ncbi.nlm.nih.gov/pubmed/34829370 http://dx.doi.org/10.3390/diagnostics11112023 |
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author | Lau, Angus Beheshti, Iman Modirrousta, Mandana Kolesar, Tiffany A. Goertzen, Andrew L. Ko, Ji Hyun |
author_facet | Lau, Angus Beheshti, Iman Modirrousta, Mandana Kolesar, Tiffany A. Goertzen, Andrew L. Ko, Ji Hyun |
author_sort | Lau, Angus |
collection | PubMed |
description | Dementia is broadly characterized by cognitive and psychological dysfunction that significantly impairs daily functioning. Dementia has many causes including Alzheimer’s disease (AD), dementia with Lewy bodies (DLB), and frontotemporal lobar degeneration (FTLD). Detection and differential diagnosis in the early stages of dementia remains challenging. Fueled by AD Neuroimaging Initiatives (ADNI) (Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. As such, the investigators within ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report.), a number of neuroimaging biomarkers for AD have been proposed, yet it remains to be seen whether these markers are also sensitive to other types of dementia. We assessed AD-related metabolic patterns in 27 patients with diverse forms of dementia (five had probable/possible AD while others had atypical cases) and 20 non-demented individuals. All participants had positron emission tomography (PET) scans on file. We used a pre-trained machine learning-based AD designation (MAD) framework to investigate the AD-related metabolic pattern among the participants under study. The MAD algorithm showed a sensitivity of 0.67 and specificity of 0.90 for distinguishing dementia patients from non-dementia participants. A total of 18/27 dementia patients and 2/20 non-dementia patients were identified as having AD-like patterns of metabolism. These results highlight that many underlying causes of dementia have similar hypometabolic pattern as AD and this similarity is an interesting avenue for future research. |
format | Online Article Text |
id | pubmed-8624480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86244802021-11-27 Alzheimer’s Disease-Related Metabolic Pattern in Diverse Forms of Neurodegenerative Diseases Lau, Angus Beheshti, Iman Modirrousta, Mandana Kolesar, Tiffany A. Goertzen, Andrew L. Ko, Ji Hyun Diagnostics (Basel) Article Dementia is broadly characterized by cognitive and psychological dysfunction that significantly impairs daily functioning. Dementia has many causes including Alzheimer’s disease (AD), dementia with Lewy bodies (DLB), and frontotemporal lobar degeneration (FTLD). Detection and differential diagnosis in the early stages of dementia remains challenging. Fueled by AD Neuroimaging Initiatives (ADNI) (Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. As such, the investigators within ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report.), a number of neuroimaging biomarkers for AD have been proposed, yet it remains to be seen whether these markers are also sensitive to other types of dementia. We assessed AD-related metabolic patterns in 27 patients with diverse forms of dementia (five had probable/possible AD while others had atypical cases) and 20 non-demented individuals. All participants had positron emission tomography (PET) scans on file. We used a pre-trained machine learning-based AD designation (MAD) framework to investigate the AD-related metabolic pattern among the participants under study. The MAD algorithm showed a sensitivity of 0.67 and specificity of 0.90 for distinguishing dementia patients from non-dementia participants. A total of 18/27 dementia patients and 2/20 non-dementia patients were identified as having AD-like patterns of metabolism. These results highlight that many underlying causes of dementia have similar hypometabolic pattern as AD and this similarity is an interesting avenue for future research. MDPI 2021-11-01 /pmc/articles/PMC8624480/ /pubmed/34829370 http://dx.doi.org/10.3390/diagnostics11112023 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lau, Angus Beheshti, Iman Modirrousta, Mandana Kolesar, Tiffany A. Goertzen, Andrew L. Ko, Ji Hyun Alzheimer’s Disease-Related Metabolic Pattern in Diverse Forms of Neurodegenerative Diseases |
title | Alzheimer’s Disease-Related Metabolic Pattern in Diverse Forms of Neurodegenerative Diseases |
title_full | Alzheimer’s Disease-Related Metabolic Pattern in Diverse Forms of Neurodegenerative Diseases |
title_fullStr | Alzheimer’s Disease-Related Metabolic Pattern in Diverse Forms of Neurodegenerative Diseases |
title_full_unstemmed | Alzheimer’s Disease-Related Metabolic Pattern in Diverse Forms of Neurodegenerative Diseases |
title_short | Alzheimer’s Disease-Related Metabolic Pattern in Diverse Forms of Neurodegenerative Diseases |
title_sort | alzheimer’s disease-related metabolic pattern in diverse forms of neurodegenerative diseases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624480/ https://www.ncbi.nlm.nih.gov/pubmed/34829370 http://dx.doi.org/10.3390/diagnostics11112023 |
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