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

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

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.

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), Article 81. https://doi.org/10.1007/s11306-017-1214-y

• Journal Article Type: Article
• Acceptance Date: May 1, 2017
• Online Publication Date: May 29, 2017
• Publication Date: 2017-07
• Deposit Date: Jan 5, 2018
• Publicly Available Date: Jan 5, 2018
• Journal: Metabolomics
• Electronic ISSN: 1573-3890
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 13
• Issue: 7
• Article Number: 81
• DOI: https://doi.org/10.1007/s11306-017-1214-y
• Public URL: https://nottingham-repository.worktribe.com/output/862577
• Publisher URL: https://link.springer.com/article/10.1007%2Fs11306-017-1214-y
• Contract Date: Jan 5, 2018