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Serum Metabolomics of Slow vs. Rapid Motor Progression Parkinson’s Disease: a Pilot Study
Progression of Parkinson’s disease (PD) is highly variable, indicating that differences between slow and rapid progression forms could provide valuable information for improved early detection and management. Unfortunately, this represents a complex problem due to the heterogeneous nature of humans...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3805572/ https://www.ncbi.nlm.nih.gov/pubmed/24167579 http://dx.doi.org/10.1371/journal.pone.0077629 |
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author | Roede, James R. Uppal, Karan Park, Youngja Lee, Kichun Tran, Vilinh Walker, Douglas Strobel, Frederick H. Rhodes, Shannon L. Ritz, Beate Jones, Dean P. |
author_facet | Roede, James R. Uppal, Karan Park, Youngja Lee, Kichun Tran, Vilinh Walker, Douglas Strobel, Frederick H. Rhodes, Shannon L. Ritz, Beate Jones, Dean P. |
author_sort | Roede, James R. |
collection | PubMed |
description | Progression of Parkinson’s disease (PD) is highly variable, indicating that differences between slow and rapid progression forms could provide valuable information for improved early detection and management. Unfortunately, this represents a complex problem due to the heterogeneous nature of humans in regards to demographic characteristics, genetics, diet, environmental exposures and health behaviors. In this pilot study, we employed high resolution mass spectrometry-based metabolic profiling to investigate the metabolic signatures of slow versus rapidly progressing PD present in human serum. Archival serum samples from PD patients obtained within 3 years of disease onset were analyzed via dual chromatography-high resolution mass spectrometry, with data extraction by xMSanalyzer and used to predict rapid or slow motor progression of these patients during follow-up. Statistical analyses, such as false discovery rate analysis and partial least squares discriminant analysis, yielded a list of statistically significant metabolic features and further investigation revealed potential biomarkers. In particular, N8-acetyl spermidine was found to be significantly elevated in the rapid progressors compared to both control subjects and slow progressors. Our exploratory data indicate that a fast motor progression disease phenotype can be distinguished early in disease using high resolution mass spectrometry-based metabolic profiling and that altered polyamine metabolism may be a predictive marker of rapidly progressing PD. |
format | Online Article Text |
id | pubmed-3805572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38055722013-10-28 Serum Metabolomics of Slow vs. Rapid Motor Progression Parkinson’s Disease: a Pilot Study Roede, James R. Uppal, Karan Park, Youngja Lee, Kichun Tran, Vilinh Walker, Douglas Strobel, Frederick H. Rhodes, Shannon L. Ritz, Beate Jones, Dean P. PLoS One Research Article Progression of Parkinson’s disease (PD) is highly variable, indicating that differences between slow and rapid progression forms could provide valuable information for improved early detection and management. Unfortunately, this represents a complex problem due to the heterogeneous nature of humans in regards to demographic characteristics, genetics, diet, environmental exposures and health behaviors. In this pilot study, we employed high resolution mass spectrometry-based metabolic profiling to investigate the metabolic signatures of slow versus rapidly progressing PD present in human serum. Archival serum samples from PD patients obtained within 3 years of disease onset were analyzed via dual chromatography-high resolution mass spectrometry, with data extraction by xMSanalyzer and used to predict rapid or slow motor progression of these patients during follow-up. Statistical analyses, such as false discovery rate analysis and partial least squares discriminant analysis, yielded a list of statistically significant metabolic features and further investigation revealed potential biomarkers. In particular, N8-acetyl spermidine was found to be significantly elevated in the rapid progressors compared to both control subjects and slow progressors. Our exploratory data indicate that a fast motor progression disease phenotype can be distinguished early in disease using high resolution mass spectrometry-based metabolic profiling and that altered polyamine metabolism may be a predictive marker of rapidly progressing PD. Public Library of Science 2013-10-22 /pmc/articles/PMC3805572/ /pubmed/24167579 http://dx.doi.org/10.1371/journal.pone.0077629 Text en © 2013 Roede 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 Roede, James R. Uppal, Karan Park, Youngja Lee, Kichun Tran, Vilinh Walker, Douglas Strobel, Frederick H. Rhodes, Shannon L. Ritz, Beate Jones, Dean P. Serum Metabolomics of Slow vs. Rapid Motor Progression Parkinson’s Disease: a Pilot Study |
title | Serum Metabolomics of Slow vs. Rapid Motor Progression Parkinson’s Disease: a Pilot Study |
title_full | Serum Metabolomics of Slow vs. Rapid Motor Progression Parkinson’s Disease: a Pilot Study |
title_fullStr | Serum Metabolomics of Slow vs. Rapid Motor Progression Parkinson’s Disease: a Pilot Study |
title_full_unstemmed | Serum Metabolomics of Slow vs. Rapid Motor Progression Parkinson’s Disease: a Pilot Study |
title_short | Serum Metabolomics of Slow vs. Rapid Motor Progression Parkinson’s Disease: a Pilot Study |
title_sort | serum metabolomics of slow vs. rapid motor progression parkinson’s disease: a pilot study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3805572/ https://www.ncbi.nlm.nih.gov/pubmed/24167579 http://dx.doi.org/10.1371/journal.pone.0077629 |
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