Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
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
_version_ 1785057092183261184
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
work_keys_str_mv AT lantiantian serummetabolomicsanalysisrevealedmetabolicdisordersinparkinsonsdisease
AT changle serummetabolomicsanalysisrevealedmetabolicdisordersinparkinsonsdisease
AT houliwei serummetabolomicsanalysisrevealedmetabolicdisordersinparkinsonsdisease
AT wangzhenzhen serummetabolomicsanalysisrevealedmetabolicdisordersinparkinsonsdisease
AT lidongchu serummetabolomicsanalysisrevealedmetabolicdisordersinparkinsonsdisease
AT renzihan serummetabolomicsanalysisrevealedmetabolicdisordersinparkinsonsdisease
AT gutao serummetabolomicsanalysisrevealedmetabolicdisordersinparkinsonsdisease
AT wangjianwen serummetabolomicsanalysisrevealedmetabolicdisordersinparkinsonsdisease
AT chenguisheng serummetabolomicsanalysisrevealedmetabolicdisordersinparkinsonsdisease