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LC-HRMS data as a result of untargeted metabolomic profiling of human cerebrospinal fluid
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,...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6232650/ https://www.ncbi.nlm.nih.gov/pubmed/30456258 http://dx.doi.org/10.1016/j.dib.2018.10.113 |
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author | Mehl, Florence Gallart-Ayala, Héctor Konz, Ioana Teav, Tony Oikonomidi, Aikaterini Peyratout, Gwendoline van der Velpen, Vera Popp, Julius Ivanisevic, Julijana |
author_facet | Mehl, Florence Gallart-Ayala, Héctor Konz, Ioana Teav, Tony Oikonomidi, Aikaterini Peyratout, Gwendoline van der Velpen, Vera Popp, Julius Ivanisevic, Julijana |
author_sort | Mehl, Florence |
collection | PubMed |
description | 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 (n = 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). |
format | Online Article Text |
id | pubmed-6232650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-62326502018-11-19 LC-HRMS data as a result of untargeted metabolomic profiling of human cerebrospinal fluid Mehl, Florence Gallart-Ayala, Héctor Konz, Ioana Teav, Tony Oikonomidi, Aikaterini Peyratout, Gwendoline van der Velpen, Vera Popp, Julius Ivanisevic, Julijana Data Brief Biochemistry, Genetics and Molecular Biology 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 (n = 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). Elsevier 2018-10-27 /pmc/articles/PMC6232650/ /pubmed/30456258 http://dx.doi.org/10.1016/j.dib.2018.10.113 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Biochemistry, Genetics and Molecular Biology Mehl, Florence Gallart-Ayala, Héctor Konz, Ioana Teav, Tony Oikonomidi, Aikaterini Peyratout, Gwendoline van der Velpen, Vera Popp, Julius Ivanisevic, Julijana LC-HRMS data as a result of untargeted metabolomic profiling of human cerebrospinal fluid |
title | LC-HRMS data as a result of untargeted metabolomic profiling of human cerebrospinal fluid |
title_full | LC-HRMS data as a result of untargeted metabolomic profiling of human cerebrospinal fluid |
title_fullStr | LC-HRMS data as a result of untargeted metabolomic profiling of human cerebrospinal fluid |
title_full_unstemmed | LC-HRMS data as a result of untargeted metabolomic profiling of human cerebrospinal fluid |
title_short | LC-HRMS data as a result of untargeted metabolomic profiling of human cerebrospinal fluid |
title_sort | lc-hrms data as a result of untargeted metabolomic profiling of human cerebrospinal fluid |
topic | Biochemistry, Genetics and Molecular Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6232650/ https://www.ncbi.nlm.nih.gov/pubmed/30456258 http://dx.doi.org/10.1016/j.dib.2018.10.113 |
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