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  Dietary PUFAs drive diverse system-level changes in lipid metabolism

Furse, S., Virtue, S., Snowden, S. G., Vidal-Puig, A., Stevenson, P. C., Chiarugi, D., et al. (2022). Dietary PUFAs drive diverse system-level changes in lipid metabolism. Molecular Metabolism, 59: 101457. doi:10.1016/j.molmet.2022.101457.

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Furse_Virtue_2022.pdf (Publisher version), 970KB
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 Creators:
Furse, Samuel1, Author
Virtue, Samuel2, Author
Snowden, Stuart G.3, Author
Vidal-Puig, Antonio2, Author
Stevenson, Philip C.4, Author
Chiarugi, Davide5, 6, Author           
Koulman, Albert1, Author
Affiliations:
1Core Metabolomics and Lipidomics Laboratory, University of Cambridge, United Kingdom, ou_persistent22              
2Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, United Kingdom, ou_persistent22              
3Biology Department, Royal Holloway College, University of London, United Kingdom, ou_persistent22              
4Royal Botanic Gardens, Richmond, United Kingdom, ou_persistent22              
5Bioinformatics and Biostatistics Core, University of Cambridge, United Kingdom, ou_persistent22              
6Methods and Development Group Computing and Databases Services, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205651              

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Free keywords: Lipid metabolism; PUFA supplementation; Traffic analysis; Metabolic network
 Abstract: Objective
Polyunsaturated fatty acid (PUFA) supplements have been trialled as a treatment for a number of conditions and produced a variety of results. This variety is ascribed to the supplements, that often comprise a mixture of fatty acids, and to different effects in different organs. In this study, we tested the hypothesis that the supplementation of individual PUFAs has system-level effects that are dependent on the molecular structure of the PUFA.

Methods
We undertook a network analysis using Lipid Traffic Analysis to identify both local and system-level changes in lipid metabolism using publicly available lipidomics data from a mouse model of supplementation with FA(20:4n-6), FA(20:5n-3), and FA(22:6n-3); arachidonic acid, eicosapentaenoic acid, and docosahexaenoic acid, respectively. Lipid Traffic Analysis is a new computational/bioinformatics tool that uses the spatial distribution of lipids to pinpoint changes or differences in control of metabolism, thereby suggesting mechanistic reasons for differences in observed lipid metabolism.

Results
There was strong evidence for changes to lipid metabolism driven by and dependent on the structure of the supplemented PUFA. Phosphatidylcholine and triglycerides showed a change in the variety more than the total number of variables, whereas phosphatidylethanolamine and phosphatidylinositol showed considerable change in both which variables and the number of them, in a highly PUFA-dependent manner. There was also evidence for changes to the endogenous biosynthesis of fatty acids and to both the elongation and desaturation of fatty acids.

Conclusions
These results show that the full biological impact of PUFA supplementation is far wider than any single-organ effect and implies that supplementation and dosing with PUFAs require a system-level assessment.

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Language(s): eng - English
 Dates: 2022-02-032022-01-062022-02-042022-02-092022-05
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.molmet.2022.101457
Other: epub 2022
PMID: 35150907
PMC: PMC8894240
 Degree: -

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Project name : -
Grant ID : BB/M027252/1; BB/T014210/1
Funding program : -
Funding organization : Biotechnology and Biological Sciences Research Council (BBSRC)
Project name : -
Grant ID : RG/18/7/33636
Funding program : -
Funding organization : British Heart Foundation (BHF)
Project name : -
Grant ID : MRC_MC_UU_12012/2/RCUK
Funding program : -
Funding organization : Medical Research Council (MRC)

Source 1

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Title: Molecular Metabolism
Source Genre: Journal
 Creator(s):
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Publ. Info: Amsterdam, Netherlands : Elsevier B.V.
Pages: - Volume / Issue: 59 Sequence Number: 101457 Start / End Page: - Identifier: ISSN: 2212-8778
CoNE: https://pure.mpg.de/cone/journals/resource/2212-8778