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Mass Spectrometric Interrogation of Earwax: Toward the Detection of Ménière’s Disease
[Image: see text] Many diseases remain difficult to identify because the occurrence of characteristic biomarkers within traditional matrices such as blood and urine remain unknown. Disease diagnosis could, therefore, benefit from the analysis of readily accessible, non-traditional matrices that have...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399190/ https://www.ncbi.nlm.nih.gov/pubmed/37546591 http://dx.doi.org/10.1021/acsomega.3c01943 |
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author | Coon, Allix Marie Setzen, Gavin Musah, Rabi Ann |
author_facet | Coon, Allix Marie Setzen, Gavin Musah, Rabi Ann |
author_sort | Coon, Allix Marie |
collection | PubMed |
description | [Image: see text] Many diseases remain difficult to identify because the occurrence of characteristic biomarkers within traditional matrices such as blood and urine remain unknown. Disease diagnosis could, therefore, benefit from the analysis of readily accessible, non-traditional matrices that have a high chemical content and contain distinguishing biomarkers. One such matrix is cerumen (i.e., earwax), whose chemical complexity can pose challenges when analyzed by conventional methods. A combination of cerumen chemical profiles analyzed by gas chromatography—mass spectrometry (GC–MS) and direct analysis in real time—high-resolution mass spectrometry (DART-HRMS) were investigated to ascertain the possible presence of the rare otolaryngological disorder Ménière’s disease. This illness is currently identified via “diagnosis by exclusion” in which the disease is distinguished from others with overlapping symptoms by the process of elimination. GC–MS revealed a chemical profile difference between those with and without a Ménière’s disease diagnosis by a visually apparent diminution of the compounds present in the Ménière’s disease samples. DART-HRMS revealed that the two classes could be differentiated using three fatty acids: cis-9-hexadecenoic acid, cis-10-heptadecenoic acid, and cis-9-octadecenoic acid. These compounds were subsequently quantified by GC–MS and overall, the amounts of these fatty acids were decreased in Ménière’s disease patients. The average levels for non-Ménière’s disease samples were 7.89 μg/mg for cis-9-hexadecenoic acid, 0.87 μg/mg for cis-10-heptadecenoic acid, and 4.94 μg/mg for cis-9-octadecenoic acid. The average levels for Ménière’s disease samples were 1.70 μg/mg for cis-9-hexadecenoic acid, 0.13 μg/mg for cis-10-heptadecenoic acid, and 2.07 μg/mg for cis-9-octadecenoic acid. The confidence levels for cis-9-hexadecenoic acid, cis-10-heptadecenoic acid, and cis-9-octadecenoic acid were 98.7%, 99.9%, and 95.4%, respectively. The results suggest that assessment of the concentrations of these fatty acids could be a useful clinical tool for the more rapid and accurate detection of Ménière’s disease. |
format | Online Article Text |
id | pubmed-10399190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-103991902023-08-04 Mass Spectrometric Interrogation of Earwax: Toward the Detection of Ménière’s Disease Coon, Allix Marie Setzen, Gavin Musah, Rabi Ann ACS Omega [Image: see text] Many diseases remain difficult to identify because the occurrence of characteristic biomarkers within traditional matrices such as blood and urine remain unknown. Disease diagnosis could, therefore, benefit from the analysis of readily accessible, non-traditional matrices that have a high chemical content and contain distinguishing biomarkers. One such matrix is cerumen (i.e., earwax), whose chemical complexity can pose challenges when analyzed by conventional methods. A combination of cerumen chemical profiles analyzed by gas chromatography—mass spectrometry (GC–MS) and direct analysis in real time—high-resolution mass spectrometry (DART-HRMS) were investigated to ascertain the possible presence of the rare otolaryngological disorder Ménière’s disease. This illness is currently identified via “diagnosis by exclusion” in which the disease is distinguished from others with overlapping symptoms by the process of elimination. GC–MS revealed a chemical profile difference between those with and without a Ménière’s disease diagnosis by a visually apparent diminution of the compounds present in the Ménière’s disease samples. DART-HRMS revealed that the two classes could be differentiated using three fatty acids: cis-9-hexadecenoic acid, cis-10-heptadecenoic acid, and cis-9-octadecenoic acid. These compounds were subsequently quantified by GC–MS and overall, the amounts of these fatty acids were decreased in Ménière’s disease patients. The average levels for non-Ménière’s disease samples were 7.89 μg/mg for cis-9-hexadecenoic acid, 0.87 μg/mg for cis-10-heptadecenoic acid, and 4.94 μg/mg for cis-9-octadecenoic acid. The average levels for Ménière’s disease samples were 1.70 μg/mg for cis-9-hexadecenoic acid, 0.13 μg/mg for cis-10-heptadecenoic acid, and 2.07 μg/mg for cis-9-octadecenoic acid. The confidence levels for cis-9-hexadecenoic acid, cis-10-heptadecenoic acid, and cis-9-octadecenoic acid were 98.7%, 99.9%, and 95.4%, respectively. The results suggest that assessment of the concentrations of these fatty acids could be a useful clinical tool for the more rapid and accurate detection of Ménière’s disease. American Chemical Society 2023-07-21 /pmc/articles/PMC10399190/ /pubmed/37546591 http://dx.doi.org/10.1021/acsomega.3c01943 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Coon, Allix Marie Setzen, Gavin Musah, Rabi Ann Mass Spectrometric Interrogation of Earwax: Toward the Detection of Ménière’s Disease |
title | Mass Spectrometric
Interrogation of Earwax: Toward
the Detection of Ménière’s Disease |
title_full | Mass Spectrometric
Interrogation of Earwax: Toward
the Detection of Ménière’s Disease |
title_fullStr | Mass Spectrometric
Interrogation of Earwax: Toward
the Detection of Ménière’s Disease |
title_full_unstemmed | Mass Spectrometric
Interrogation of Earwax: Toward
the Detection of Ménière’s Disease |
title_short | Mass Spectrometric
Interrogation of Earwax: Toward
the Detection of Ménière’s Disease |
title_sort | mass spectrometric
interrogation of earwax: toward
the detection of ménière’s disease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399190/ https://www.ncbi.nlm.nih.gov/pubmed/37546591 http://dx.doi.org/10.1021/acsomega.3c01943 |
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