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Detection of presymptomatic Alzheimer's disease through breath biomarkers
INTRODUCTION: Novel sensors were developed to detect exhaled volatile organic compounds to aid in the diagnosis of mild cognitive impairment associated with early stage Alzheimer's disease (AD). The sensors were sensitive to a rat model that combined the human apolipoprotein E (APOE)4 gene with...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560498/ https://www.ncbi.nlm.nih.gov/pubmed/33088894 http://dx.doi.org/10.1002/dad2.12088 |
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author | Emam, Shadi Nasrollahpour, Mehdi Colarusso, Bradley Cai, Xuezhu Grant, Simone Kulkarni, Praveen Ekenseair, Adam Gharagouzloo, Codi4 Ferris, Craig F. Sun, Nian‐Xiang |
author_facet | Emam, Shadi Nasrollahpour, Mehdi Colarusso, Bradley Cai, Xuezhu Grant, Simone Kulkarni, Praveen Ekenseair, Adam Gharagouzloo, Codi4 Ferris, Craig F. Sun, Nian‐Xiang |
author_sort | Emam, Shadi |
collection | PubMed |
description | INTRODUCTION: Novel sensors were developed to detect exhaled volatile organic compounds to aid in the diagnosis of mild cognitive impairment associated with early stage Alzheimer's disease (AD). The sensors were sensitive to a rat model that combined the human apolipoprotein E (APOE)4 gene with aging and the Western diet. METHODS: Gas sensors fabricated from molecularly imprinted polymer‐graphene were engineered to react with alkanes and small fatty acids associated with lipid peroxidation. With a detection sensitivity in parts per trillion the sensors were tested against the breath of wild‐type and APOE4 male rats. Resting state BOLD functional connectivity was used to assess hippocampal function. RESULTS: Only APOE4 rats, and not wild‐type controls, tested positive to several small hydrocarbons and presented with reduced functional coupling in hippocampal circuitry. DISCUSSION: These results are proof‐of‐concept toward the development of sensors that can be used as breath detectors in the diagnosis, prognosis, and treatment of presymptomatic AD. |
format | Online Article Text |
id | pubmed-7560498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75604982020-10-20 Detection of presymptomatic Alzheimer's disease through breath biomarkers Emam, Shadi Nasrollahpour, Mehdi Colarusso, Bradley Cai, Xuezhu Grant, Simone Kulkarni, Praveen Ekenseair, Adam Gharagouzloo, Codi4 Ferris, Craig F. Sun, Nian‐Xiang Alzheimers Dement (Amst) Diagnostic Assessment & Prognosis INTRODUCTION: Novel sensors were developed to detect exhaled volatile organic compounds to aid in the diagnosis of mild cognitive impairment associated with early stage Alzheimer's disease (AD). The sensors were sensitive to a rat model that combined the human apolipoprotein E (APOE)4 gene with aging and the Western diet. METHODS: Gas sensors fabricated from molecularly imprinted polymer‐graphene were engineered to react with alkanes and small fatty acids associated with lipid peroxidation. With a detection sensitivity in parts per trillion the sensors were tested against the breath of wild‐type and APOE4 male rats. Resting state BOLD functional connectivity was used to assess hippocampal function. RESULTS: Only APOE4 rats, and not wild‐type controls, tested positive to several small hydrocarbons and presented with reduced functional coupling in hippocampal circuitry. DISCUSSION: These results are proof‐of‐concept toward the development of sensors that can be used as breath detectors in the diagnosis, prognosis, and treatment of presymptomatic AD. John Wiley and Sons Inc. 2020-10-14 /pmc/articles/PMC7560498/ /pubmed/33088894 http://dx.doi.org/10.1002/dad2.12088 Text en © 2020 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, Inc. on behalf of Alzheimer's Association This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Diagnostic Assessment & Prognosis Emam, Shadi Nasrollahpour, Mehdi Colarusso, Bradley Cai, Xuezhu Grant, Simone Kulkarni, Praveen Ekenseair, Adam Gharagouzloo, Codi4 Ferris, Craig F. Sun, Nian‐Xiang Detection of presymptomatic Alzheimer's disease through breath biomarkers |
title | Detection of presymptomatic Alzheimer's disease through breath biomarkers |
title_full | Detection of presymptomatic Alzheimer's disease through breath biomarkers |
title_fullStr | Detection of presymptomatic Alzheimer's disease through breath biomarkers |
title_full_unstemmed | Detection of presymptomatic Alzheimer's disease through breath biomarkers |
title_short | Detection of presymptomatic Alzheimer's disease through breath biomarkers |
title_sort | detection of presymptomatic alzheimer's disease through breath biomarkers |
topic | Diagnostic Assessment & Prognosis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560498/ https://www.ncbi.nlm.nih.gov/pubmed/33088894 http://dx.doi.org/10.1002/dad2.12088 |
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