LC-HRMS data as a result of untargeted metabolomic profiling of human cerebrospinal fluid.

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State: Public
Version: Final published version
Serval ID
serval:BIB_3087F712A56C
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
LC-HRMS data as a result of untargeted metabolomic profiling of human cerebrospinal fluid.
Journal
Data in brief
Author(s)
Mehl F., Gallart-Ayala H., Konz I., Teav T., Oikonomidi A., Peyratout G., van der Velpen V., Popp J., Ivanisevic J.
ISSN
2352-3409 (Electronic)
ISSN-L
2352-3409
Publication state
Published
Issued date
12/2018
Peer-reviewed
Oui
Volume
21
Pages
1358-1362
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Cerebrospinal fluid (CSF) is a key body fluid that maintains the homeostasis in central nervous system (CNS). As a biofluid whose content reflects the brain metabolic activity, the CSF is analyzed in the context of neurological diseases and is rarely collected from healthy subjects. For this reason, the metabolite variation associated with general phenotypic characteristics such as gender and age have hardly ever been studied. Here we present the hydrophilic interaction liquid chromatography-high resolution mass spectrometry (HILIC-HRMS) data as a result of untargeted metabolomics analysis of a cohort of elderly cognitively healthy volunteers ( <i>n</i>  = 32). 146 unambiguously identified water soluble metabolites (using accurate mass, retention time and MS/MS matching against spectral libraries) were measured and their abundances across all the subjects depending on their gender are provided in this article. Data tables are available at https://data.mendeley.com/datasets/c73xtsd4s5/1. it's published on mendeley, the DOI is DOI:10.17632/c73xtsd4s5.1. The data presented in this article are related to the research article entitled "A global HILIC-MS approach to measure polar human cerebrospinal fluid metabolome: Exploring gender-associated variation in a cohort of elderly cognitively healthy subjects" (Gallart-Ayala et al., 2018, In press).
Pubmed
Open Access
Yes
Create date
06/12/2018 9:51
Last modification date
20/08/2019 13:15
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