Metabolomic Biomarkers in Parkinson’s Disease

Yaping Shao, Xiaojiao Xu, Nanxing Wang, Guowang Xu, Weidong Le

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Metabolomics analysis has developed rapidly in recent decades and has become a powerful tool to understand comprehensive metabolic changes in biological systems. In Parkinson’s disease (PD) research, great efforts have been made toward the discovery of novel biomarkers and biochemical pathways to improve diagnosis, prognosis, and therapy. With the recent achievements in metabolomics, the identification of multiple novel biomarkers for PD has been greatly improved. In this chapter, we outline a detailed metabolomics workflow including sample pretreatment, instrumental analysis, and data interpretation and summarize recent advances in technology and bioinformatics implemented in metabolomics studies. Based on the current metabolomic findings in PD research, this chapter covers the most promising metabolic biomarkers and pathway disturbances in PD and discusses the progress made toward translating these findings to clinical practice, emphasizing the potential importance of endogenous small molecular metabolites in disease research.

Original languageEnglish (US)
Title of host publicationNeuromethods
PublisherHumana Press
Pages181-213
Number of pages33
DOIs
StatePublished - 2022

Publication series

NameNeuromethods
Volume173
ISSN (Print)0893-2336
ISSN (Electronic)1940-6045

Keywords

  • Mass spectrometry
  • Metabolic biomarker
  • Metabolic disturbance
  • Metabolomics
  • Parkinson’s disease

ASJC Scopus subject areas

  • Neuroscience(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Pharmacology, Toxicology and Pharmaceutics(all)
  • Psychiatry and Mental health

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