Back to Search Start Over

Mass spectrometry for biomarkers, disease mechanisms, and drug development in cerebrospinal fluid metabolomics.

Authors :
Xu, Dongyuan
Dai, Xuan
Zhang, Le
Cai, Yuankun
Chen, Keyu
Wu, Ji
Dong, Lixin
Shen, Lei
Yang, Jingyi
Zhao, Jingwei
Zhou, Yixuan
Mei, Zhimin
Wei, Wei
Zhang, Zhaowei
Xiong, Nanxiang
Source :
Trends in Analytical Chemistry: TRAC. Apr2024, Vol. 173, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

The high incidence rate, complexity, and intractability of central nervous system (CNS) diseases drive significant interest in understanding the underlying mechanisms involved in the immune response. Cerebrospinal fluid (CSF) is the key biological fluid for the study of CNS diseases. Mass spectrometry (MS)-based metabolomics investigations benefit from the advantages of high sensitivity, high selectivity, and structural identification, and show the satisfactory capacity in CSF metabolome exploration. This work comprehensively summarized sample preparation and MS techniques for identifying CSF metabolomics, focusing on potential quantification methods. For application purposes, we emphasized the investigation based on CSF metabolomics in neurological disease mechanisms, biomarkers discovery, and drug development. Existing challenges and perspectives are proposed, like integration and sharing of CSF metabolite database, standardization of MS detection protocols and data mutual recognition, and data mining of multi-omics data. This work provides a multidisciplinary information about analytical chemistry, medical science and nanomaterials. • Discuss sampling and sample processes for CSF metabolomics. • Review MS and quantification methods. • Investigate the application of CSF metabolomics in neurological disease mechanisms, biomarkers, and drug discovery. • Propose existing challenges and perspectives of CSF metabolite. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01659936
Volume :
173
Database :
Academic Search Index
Journal :
Trends in Analytical Chemistry: TRAC
Publication Type :
Academic Journal
Accession number :
176499257
Full Text :
https://doi.org/10.1016/j.trac.2024.117626