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Altmaier, E. ; Kastenmüller, G. ; Römisch-Margl, W. ; Thorand, B. ; Weinberger, K.M.* ; Adamski, J. ; Illig, T. ; Döring, A. ; Suhre, K.

Variation in the human lipidome associated with coffee consumption as revealed by quantitative targeted metabolomics.

Mol. Nutr. Food Res. 53, 1357-1365 (2009)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Identifying the biochemical basis of microbial phenotypes is a main objective of comparative genomics. Here we present a novel method using multivariate machine learning techniques for comparing automatically derived metabolic reconstructions of sequenced genomes on a large scale. Applying our method to 266 genomes directly led to testable hypotheses such as the link between the potential of microorganisms to cause periodontal disease and their ability to degrade histidine, a link also supported by clinical studies.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Acylcarnintine; Coffee; Metabolomics; MS/MS; Sphingomyelin
ISSN (print) / ISBN 1613-4125
e-ISSN 1613-4133
Journal Molecular Nutrition and Food Research
Quellenangaben Volume: 53, Issue: 11, Pages: 1357-1365 Article Number: , Supplement: ,
Publisher Wiley
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Bioinformatics and Systems Biology (IBIS)
Molekulare Endokrinologie und Metabolismus (MEM)
Institute of Epidemiology (EPI)