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Amyloid beta in nasal secretions may be a potential biomarker of Alzheimer’s disease
We investigated the level of amyloid beta (Aβ) in nasal secretions of patients with Alzheimer’s disease dementia (ADD) using interdigitated microelectrode (IME) biosensors and determined the predictive value of Aβ in nasal secretions for ADD diagnosis. Nasal secretions were obtained from 35 patients...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428828/ https://www.ncbi.nlm.nih.gov/pubmed/30899050 http://dx.doi.org/10.1038/s41598-019-41429-1 |
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author | Kim, Young Hyo Lee, Sang-Myung Cho, Sungbo Kang, Ju-Hee Minn, Yang-Ki Park, Hyelim Choi, Seong Hye |
author_facet | Kim, Young Hyo Lee, Sang-Myung Cho, Sungbo Kang, Ju-Hee Minn, Yang-Ki Park, Hyelim Choi, Seong Hye |
author_sort | Kim, Young Hyo |
collection | PubMed |
description | We investigated the level of amyloid beta (Aβ) in nasal secretions of patients with Alzheimer’s disease dementia (ADD) using interdigitated microelectrode (IME) biosensors and determined the predictive value of Aβ in nasal secretions for ADD diagnosis. Nasal secretions were obtained from 35 patients with ADD, 18 with cognitive decline associated with other neurological disorders (OND), and 26 cognitively unimpaired (CU) participants. Capacitance changes in IMEs were measured by capturing total Aβ (ΔC(tAβ)). After 4-(2-hydroxyethyl)-1-piperazinepropanesulfonic acid (EPPS) was injected, additional capacitance changes due to the smaller molecular weight Aβ oligomers disassembled from the higher molecular weight oligomeric Aβ were determined (ΔC(oAβ)). By dividing two values, the capacitance ratio (ΔC(oAβ)/ΔC(tAβ)) was determined and then normalized to the capacitance change index (CCI). The CCI was higher in the ADD group than in the OND (p = 0.040) and CU groups (p = 0.007). The accuracy of the CCI was fair in separating into the ADD and CU groups (area under the receiver operating characteristic curve = 0.718, 95% confidence interval = 0.591–0.845). These results demonstrate that the level of Aβ in nasal secretions increases in ADD and the detection of Aβ in nasal secretions using IME biosensors may be possible in predicting ADD. |
format | Online Article Text |
id | pubmed-6428828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64288282019-03-28 Amyloid beta in nasal secretions may be a potential biomarker of Alzheimer’s disease Kim, Young Hyo Lee, Sang-Myung Cho, Sungbo Kang, Ju-Hee Minn, Yang-Ki Park, Hyelim Choi, Seong Hye Sci Rep Article We investigated the level of amyloid beta (Aβ) in nasal secretions of patients with Alzheimer’s disease dementia (ADD) using interdigitated microelectrode (IME) biosensors and determined the predictive value of Aβ in nasal secretions for ADD diagnosis. Nasal secretions were obtained from 35 patients with ADD, 18 with cognitive decline associated with other neurological disorders (OND), and 26 cognitively unimpaired (CU) participants. Capacitance changes in IMEs were measured by capturing total Aβ (ΔC(tAβ)). After 4-(2-hydroxyethyl)-1-piperazinepropanesulfonic acid (EPPS) was injected, additional capacitance changes due to the smaller molecular weight Aβ oligomers disassembled from the higher molecular weight oligomeric Aβ were determined (ΔC(oAβ)). By dividing two values, the capacitance ratio (ΔC(oAβ)/ΔC(tAβ)) was determined and then normalized to the capacitance change index (CCI). The CCI was higher in the ADD group than in the OND (p = 0.040) and CU groups (p = 0.007). The accuracy of the CCI was fair in separating into the ADD and CU groups (area under the receiver operating characteristic curve = 0.718, 95% confidence interval = 0.591–0.845). These results demonstrate that the level of Aβ in nasal secretions increases in ADD and the detection of Aβ in nasal secretions using IME biosensors may be possible in predicting ADD. Nature Publishing Group UK 2019-03-21 /pmc/articles/PMC6428828/ /pubmed/30899050 http://dx.doi.org/10.1038/s41598-019-41429-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kim, Young Hyo Lee, Sang-Myung Cho, Sungbo Kang, Ju-Hee Minn, Yang-Ki Park, Hyelim Choi, Seong Hye Amyloid beta in nasal secretions may be a potential biomarker of Alzheimer’s disease |
title | Amyloid beta in nasal secretions may be a potential biomarker of Alzheimer’s disease |
title_full | Amyloid beta in nasal secretions may be a potential biomarker of Alzheimer’s disease |
title_fullStr | Amyloid beta in nasal secretions may be a potential biomarker of Alzheimer’s disease |
title_full_unstemmed | Amyloid beta in nasal secretions may be a potential biomarker of Alzheimer’s disease |
title_short | Amyloid beta in nasal secretions may be a potential biomarker of Alzheimer’s disease |
title_sort | amyloid beta in nasal secretions may be a potential biomarker of alzheimer’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428828/ https://www.ncbi.nlm.nih.gov/pubmed/30899050 http://dx.doi.org/10.1038/s41598-019-41429-1 |
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