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Measuring Compounds in Exhaled Air to Detect Alzheimer's Disease and Parkinson’s Disease
BACKGROUND: Alzheimer’s disease (AD) is diagnosed based upon medical history, neuropsychiatric examination, cerebrospinal fluid analysis, extensive laboratory analyses and cerebral imaging. Diagnosis is time consuming and labour intensive. Parkinson’s disease (PD) is mainly diagnosed on clinical gro...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4500505/ https://www.ncbi.nlm.nih.gov/pubmed/26168044 http://dx.doi.org/10.1371/journal.pone.0132227 |
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author | Bach, Jan-Philipp Gold, Maike Mengel, David Hattesohl, Akira Lubbe, Dirk Schmid, Severin Tackenberg, Björn Rieke, Jürgen Maddula, Sasidhar Baumbach, Jörg Ingo Nell, Christoph Boeselt, Tobias Michelis, Joan Alferink, Judith Heneka, Michael Oertel, Wolfgang Jessen, Frank Janciauskiene, Sabina Vogelmeier, Claus Dodel, Richard Koczulla, Andreas Rembert |
author_facet | Bach, Jan-Philipp Gold, Maike Mengel, David Hattesohl, Akira Lubbe, Dirk Schmid, Severin Tackenberg, Björn Rieke, Jürgen Maddula, Sasidhar Baumbach, Jörg Ingo Nell, Christoph Boeselt, Tobias Michelis, Joan Alferink, Judith Heneka, Michael Oertel, Wolfgang Jessen, Frank Janciauskiene, Sabina Vogelmeier, Claus Dodel, Richard Koczulla, Andreas Rembert |
author_sort | Bach, Jan-Philipp |
collection | PubMed |
description | BACKGROUND: Alzheimer’s disease (AD) is diagnosed based upon medical history, neuropsychiatric examination, cerebrospinal fluid analysis, extensive laboratory analyses and cerebral imaging. Diagnosis is time consuming and labour intensive. Parkinson’s disease (PD) is mainly diagnosed on clinical grounds. OBJECTIVE: The primary aim of this study was to differentiate patients suffering from AD, PD and healthy controls by investigating exhaled air with the electronic nose technique. After demonstrating a difference between the three groups the secondary aim was the identification of specific substances responsible for the difference(s) using ion mobility spectroscopy. Thirdly we analysed whether amyloid beta (Aβ) in exhaled breath was causative for the observed differences between patients suffering from AD and healthy controls. METHODS: We employed novel pulmonary diagnostic tools (electronic nose device/ion-mobility spectrometry) for the identification of patients with neurodegenerative diseases. Specifically, we analysed breath pattern differences in exhaled air of patients with AD, those with PD and healthy controls using the electronic nose device (eNose). Using ion mobility spectrometry (IMS), we identified the compounds responsible for the observed differences in breath patterns. We applied ELISA technique to measure Aβ in exhaled breath condensates. RESULTS: The eNose was able to differentiate between AD, PD and HC correctly. Using IMS, we identified markers that could be used to differentiate healthy controls from patients with AD and PD with an accuracy of 94%. In addition, patients suffering from PD were identified with sensitivity and specificity of 100%. Altogether, 3 AD patients out of 53 participants were misclassified. Although we found Aβ in exhaled breath condensate from both AD and healthy controls, no significant differences between groups were detected. CONCLUSION: These data may open a new field in the diagnosis of neurodegenerative disease such as Alzheimer’s disease and Parkinson’s disease. Further research is required to evaluate the significance of these pulmonary findings with respect to the pathophysiology of neurodegenerative disorders. |
format | Online Article Text |
id | pubmed-4500505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45005052015-07-17 Measuring Compounds in Exhaled Air to Detect Alzheimer's Disease and Parkinson’s Disease Bach, Jan-Philipp Gold, Maike Mengel, David Hattesohl, Akira Lubbe, Dirk Schmid, Severin Tackenberg, Björn Rieke, Jürgen Maddula, Sasidhar Baumbach, Jörg Ingo Nell, Christoph Boeselt, Tobias Michelis, Joan Alferink, Judith Heneka, Michael Oertel, Wolfgang Jessen, Frank Janciauskiene, Sabina Vogelmeier, Claus Dodel, Richard Koczulla, Andreas Rembert PLoS One Research Article BACKGROUND: Alzheimer’s disease (AD) is diagnosed based upon medical history, neuropsychiatric examination, cerebrospinal fluid analysis, extensive laboratory analyses and cerebral imaging. Diagnosis is time consuming and labour intensive. Parkinson’s disease (PD) is mainly diagnosed on clinical grounds. OBJECTIVE: The primary aim of this study was to differentiate patients suffering from AD, PD and healthy controls by investigating exhaled air with the electronic nose technique. After demonstrating a difference between the three groups the secondary aim was the identification of specific substances responsible for the difference(s) using ion mobility spectroscopy. Thirdly we analysed whether amyloid beta (Aβ) in exhaled breath was causative for the observed differences between patients suffering from AD and healthy controls. METHODS: We employed novel pulmonary diagnostic tools (electronic nose device/ion-mobility spectrometry) for the identification of patients with neurodegenerative diseases. Specifically, we analysed breath pattern differences in exhaled air of patients with AD, those with PD and healthy controls using the electronic nose device (eNose). Using ion mobility spectrometry (IMS), we identified the compounds responsible for the observed differences in breath patterns. We applied ELISA technique to measure Aβ in exhaled breath condensates. RESULTS: The eNose was able to differentiate between AD, PD and HC correctly. Using IMS, we identified markers that could be used to differentiate healthy controls from patients with AD and PD with an accuracy of 94%. In addition, patients suffering from PD were identified with sensitivity and specificity of 100%. Altogether, 3 AD patients out of 53 participants were misclassified. Although we found Aβ in exhaled breath condensate from both AD and healthy controls, no significant differences between groups were detected. CONCLUSION: These data may open a new field in the diagnosis of neurodegenerative disease such as Alzheimer’s disease and Parkinson’s disease. Further research is required to evaluate the significance of these pulmonary findings with respect to the pathophysiology of neurodegenerative disorders. Public Library of Science 2015-07-13 /pmc/articles/PMC4500505/ /pubmed/26168044 http://dx.doi.org/10.1371/journal.pone.0132227 Text en © 2015 Bach et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Bach, Jan-Philipp Gold, Maike Mengel, David Hattesohl, Akira Lubbe, Dirk Schmid, Severin Tackenberg, Björn Rieke, Jürgen Maddula, Sasidhar Baumbach, Jörg Ingo Nell, Christoph Boeselt, Tobias Michelis, Joan Alferink, Judith Heneka, Michael Oertel, Wolfgang Jessen, Frank Janciauskiene, Sabina Vogelmeier, Claus Dodel, Richard Koczulla, Andreas Rembert Measuring Compounds in Exhaled Air to Detect Alzheimer's Disease and Parkinson’s Disease |
title | Measuring Compounds in Exhaled Air to Detect Alzheimer's Disease and Parkinson’s Disease |
title_full | Measuring Compounds in Exhaled Air to Detect Alzheimer's Disease and Parkinson’s Disease |
title_fullStr | Measuring Compounds in Exhaled Air to Detect Alzheimer's Disease and Parkinson’s Disease |
title_full_unstemmed | Measuring Compounds in Exhaled Air to Detect Alzheimer's Disease and Parkinson’s Disease |
title_short | Measuring Compounds in Exhaled Air to Detect Alzheimer's Disease and Parkinson’s Disease |
title_sort | measuring compounds in exhaled air to detect alzheimer's disease and parkinson’s disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4500505/ https://www.ncbi.nlm.nih.gov/pubmed/26168044 http://dx.doi.org/10.1371/journal.pone.0132227 |
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