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Serum metabolomics analysis revealed metabolic disorders in Parkinson’s disease
Parkinson’s disease (PD) is by now the second of the most prevalent neurodegenerative diseases in the world, and its incidence is increasing rapidly as the global population ages, with 14.2 million PD patients expected worldwide by 2040. METHODS: We gathered a completion of 45 serum samples, includi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256383/ https://www.ncbi.nlm.nih.gov/pubmed/37335671 http://dx.doi.org/10.1097/MD.0000000000033715 |
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author | Lan, Tian-Tian Chang, Le Hou, Li-Wei Wang, Zhen-Zhen Li, Dong-Chu Ren, Zi-Han Gu, Tao Wang, Jian-Wen Chen, Gui-Sheng |
author_facet | Lan, Tian-Tian Chang, Le Hou, Li-Wei Wang, Zhen-Zhen Li, Dong-Chu Ren, Zi-Han Gu, Tao Wang, Jian-Wen Chen, Gui-Sheng |
author_sort | Lan, Tian-Tian |
collection | PubMed |
description | Parkinson’s disease (PD) is by now the second of the most prevalent neurodegenerative diseases in the world, and its incidence is increasing rapidly as the global population ages, with 14.2 million PD patients expected worldwide by 2040. METHODS: We gathered a completion of 45 serum samples, including 15 of healthy controls and 30 from the PD group. We used non-targeted metabolomics analysis based on liquid chromatography-mass spectrometry to identify the molecular changes in PD patients, and conducted bioinformatics analysis on this basis to explore the possible pathogenesis of PD. RESULTS: We found significant metabolomics changes in the levels of 30 metabolites in PD patients compared with healthy controls. CONCLUSION: Lipids and lipid-like molecules accounted for the majority of the 30 differentially expressed metabolites. Also, pathway enrichment analysis showed significant enrichment in sphingolipid metabolic pathway. These assessments can improve our perception on the underlying mechanism of PD as well as facilitate a better targeting on therapeutic interventions. |
format | Online Article Text |
id | pubmed-10256383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-102563832023-06-10 Serum metabolomics analysis revealed metabolic disorders in Parkinson’s disease Lan, Tian-Tian Chang, Le Hou, Li-Wei Wang, Zhen-Zhen Li, Dong-Chu Ren, Zi-Han Gu, Tao Wang, Jian-Wen Chen, Gui-Sheng Medicine (Baltimore) 5300 Parkinson’s disease (PD) is by now the second of the most prevalent neurodegenerative diseases in the world, and its incidence is increasing rapidly as the global population ages, with 14.2 million PD patients expected worldwide by 2040. METHODS: We gathered a completion of 45 serum samples, including 15 of healthy controls and 30 from the PD group. We used non-targeted metabolomics analysis based on liquid chromatography-mass spectrometry to identify the molecular changes in PD patients, and conducted bioinformatics analysis on this basis to explore the possible pathogenesis of PD. RESULTS: We found significant metabolomics changes in the levels of 30 metabolites in PD patients compared with healthy controls. CONCLUSION: Lipids and lipid-like molecules accounted for the majority of the 30 differentially expressed metabolites. Also, pathway enrichment analysis showed significant enrichment in sphingolipid metabolic pathway. These assessments can improve our perception on the underlying mechanism of PD as well as facilitate a better targeting on therapeutic interventions. Lippincott Williams & Wilkins 2023-06-09 /pmc/articles/PMC10256383/ /pubmed/37335671 http://dx.doi.org/10.1097/MD.0000000000033715 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | 5300 Lan, Tian-Tian Chang, Le Hou, Li-Wei Wang, Zhen-Zhen Li, Dong-Chu Ren, Zi-Han Gu, Tao Wang, Jian-Wen Chen, Gui-Sheng Serum metabolomics analysis revealed metabolic disorders in Parkinson’s disease |
title | Serum metabolomics analysis revealed metabolic disorders in Parkinson’s disease |
title_full | Serum metabolomics analysis revealed metabolic disorders in Parkinson’s disease |
title_fullStr | Serum metabolomics analysis revealed metabolic disorders in Parkinson’s disease |
title_full_unstemmed | Serum metabolomics analysis revealed metabolic disorders in Parkinson’s disease |
title_short | Serum metabolomics analysis revealed metabolic disorders in Parkinson’s disease |
title_sort | serum metabolomics analysis revealed metabolic disorders in parkinson’s disease |
topic | 5300 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256383/ https://www.ncbi.nlm.nih.gov/pubmed/37335671 http://dx.doi.org/10.1097/MD.0000000000033715 |
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