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Describing the fecal metabolome in cryogenically collected samples from healthy participants

Authors :
Torben Hansen
Tommi Suvitaival
Linda Ahonen
Trine Nielsen
Kajetan Trošt
Peter Rossing
Aleksander Krag
Lars O. Dragsted
Maja Thiele
Cristina Legido-Quigley
Suganya Jacobsen
Nina Christiansen
Source :
Scientific Reports, Vol 10, Iss 1, Pp 1-8 (2020), Scientific Reports, Trošt, K, Ahonen, L, Suvitaival, T, Christiansen, N, Nielsen, T, Thiele, M, Jacobsen, S, Krag, A, Rossing, P, Hansen, T, Dragsted, L O & Legido-Quigley, C 2020, ' Describing the fecal metabolome in cryogenically collected samples from healthy participants ', Scientific Reports, vol. 10, no. 1, 885 . https://doi.org/10.1038/s41598-020-57888-w, Trošt, K, Ahonen, L, Suvitaival, T, Christiansen, N, Nielsen, T, Thiele, M, Jacobsen, S, Krag, A, Rossing, P, Hansen, T, Dragsted, L O & Legido-Quigley, C 2020, ' Describing the fecal metabolome in cryogenically collected samples from healthy participants ', Scientific Reports, vol. 10, 885 . https://doi.org/10.1038/s41598-020-57888-w
Publication Year :
2020
Publisher :
Nature Publishing Group, 2020.

Abstract

IntroductionThe chemical composition of feces plays an important role in human metabolism. Metabolomics and lipidomics are valuable tools for screening the metabolite composition in feces. Here we set out to describe fecal metabolite composition in healthy participants in frozen stools.MethodsFrozen stool samples were collected from 10 healthy volunteers and cryogenically drilled in four areas along the specimen. Polar metabolites were analyzed using derivatization followed by two-dimensional gas chromatography and time of flight mass spectrometry. Lipids were detected using ultra high-performance liquid chromatography coupled with quadruple time-of-flight mass spectrometry. The technical variation threshold was set to 30% in pooled quality control samples and metabolite variation was then assessed in four areas per specimen. A data-generated network using metabolites found in all areas was computed for healthy participants.Results2326 metabolic features were detected. Out of a total of 298 metabolites that were annotated we report here 185 that showed a technical variation of x< 30%. These metabolites included amino acids, fatty acid derivatives, carboxylic acids and phenolic compounds. Lipids predominantly belonged to the groups of diacylglycerols, triacylglycerols and ceramides. Metabolites varied between sampling areas (14%-80%). A network using metabolites present in all areas showed two main clusters, DAG lipids and phenyllactic acid.ConclusionsIn feces from healthy participants, the main groups detected were phenolic compounds, ceramides, diacylglycerols and triacylglycerols. Metabolite levels differed considerably depending on the sampling area.

Details

Language :
English
ISSN :
20452322
Volume :
10
Issue :
1
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....25fac90e9e5c2476653d2dac57dc26f5
Full Text :
https://doi.org/10.1038/s41598-020-57888-w