LC-HRMS data as a result of untargeted metabolomic profiling of human cerebrospinal fluid
| Autor: | Ioana Konz, Vera van der Velpen, Hector Gallart-Ayala, Gwendoline Peyratout, Aikaterini Oikonomidi, Florence Mehl, Julius Popp, Julijana Ivanisevic, Tony Teav |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Metabolite Physiology Context (language use) lcsh:Computer applications to medicine. Medical informatics 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Cerebrospinal fluid Biochemistry Genetics and Molecular Biology Metabolome Medicine Research article lcsh:Science (General) Body fluid Multidisciplinary business.industry 3. Good health 030104 developmental biology Metabolomic profiling chemistry Cohort lcsh:R858-859.7 business 030217 neurology & neurosurgery lcsh:Q1-390 |
| Zdroj: | Data in brief, vol. 21, pp. 1358-1362 Data in Brief Data in Brief, Vol 21, Iss, Pp 1358-1362 (2018) BASE-Bielefeld Academic Search Engine |
| ISSN: | 2352-3409 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
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