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A methodology for elucidating regulatory mechanisms leading to changes in lipid profiles

Casbas Pinto, Ferran; Ravipati, Srinivarao; Barrett, David A.; Hodgman, Charlie

Authors

Ferran Casbas Pinto

David A. Barrett

Charlie Hodgman Charlie.Hodgman@nottingham.ac.uk



Abstract

Introduction
It is difficult to elucidate the metabolic and regulatory factors causing lipidome perturbations.
Objectives
This work simplifies this process.
Methods
A method has been developed to query an online holistic lipid metabolic network (of 7923 metabolites) to extract the pathways that connect the input list of lipids.
Results
The output enables pathway visualisation and the querying of other databases to identify potential regulators. When used to a study a plasma lipidome dataset of polycystic ovary syndrome, 14 enzymes were identified, of which 3 are linked to ELAVL1—an mRNA stabiliser.
Conclusion
This method provides a simplified approach to identifying potential regulators causing lipid-profile perturbations.

Journal Article Type Article
Publication Date 2017-07
Journal Metabolomics
Electronic ISSN 1573-3890
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 13
Issue 7
Article Number 81
APA6 Citation Casbas Pinto, F., Ravipati, S., Barrett, D. A., & Hodgman, C. (2017). A methodology for elucidating regulatory mechanisms leading to changes in lipid profiles. Metabolomics, 13(7), https://doi.org/10.1007/s11306-017-1214-y
DOI https://doi.org/10.1007/s11306-017-1214-y
Publisher URL https://link.springer.com/article/10.1007%2Fs11306-017-1214-y
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0





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