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  4. Detection of Volatile Organic Compounds as an emerging strategy for Parkinson’s disease diagnosis and monitoring
 
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Detection of Volatile Organic Compounds as an emerging strategy for Parkinson’s disease diagnosis and monitoring
File(s)
s41531-025-00993-2.pdf (921.92 KB)
Published version
Author(s)
Belluomo, Ilaria
Tarazi, Munir
Lao-Kaim, Nicholas
Tai, Yen
Spanel, Patrik
more
Type
Journal Article
Abstract
Growing evidence suggests that specific volatile organic compound (VOC) profiles may reflect key pathophysiological processes in Parkinson’s disease (PD), including alterations in the microbiome, metabolism, and oxidative stress. Identifying reliable VOC biomarkers could enable non-invasive tests for early diagnosis, disease monitoring, and therapy evaluation. This review examines VOC analysis in biological matrices such as breath, skin, and stool, outlining current research and future applications in PD. We evaluate analytical techniques based on sensitivity, specificity, and clinical applicability. Additionally, we classify VOCs identified in previous studies alongside their proposed biological origins. Special attention is given to short-chain fatty acids, produced by the gut microbiome, a novel target in PD research. Our findings highlight the need for larger cohort studies and standardized protocols to advance VOC-based diagnostics in PD. Understanding the interplay between VOCs and PD may facilitate biomarker discovery, enhancing non-invasive diagnostic strategies and personalized disease management.
Date Issued
2025-06-12
Date Acceptance
2025-05-06
Citation
npj Parkinson's Disease, 2025, 11
URI
https://hdl.handle.net/10044/1/120311
URL
https://www.nature.com/articles/s41531-025-00993-2
DOI
https://www.dx.doi.org/10.1038/s41531-025-00993-2
ISSN
2373-8057
Publisher
Nature Portfolio
Journal / Book Title
npj Parkinson's Disease
Volume
11
Copyright Statement
© The Author(s) 2025 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
https://creativecommons.org/licenses/by/4.0/
Identifier
10.1038/s41531-025-00993-2
Publication Status
Published
Article Number
161
Date Publish Online
2025-06-12
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