Integration of lipid ratios with multi-omic datasets to explore ether lipid metabolism in obesity.

<p>Summary figure details changes in ether lipid metabolism in obesity as indicated by the lipid ratios, liver micro-array data, and GWAS analysis. Coloured text depicts potential changes in enzymatic activity (green: increase; red: decrease), identified through linear regression analysis, adj...

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Main Author:	Yvette L. Schooneveldt (22138892) (author)
Other Authors:	Sudip Paul (453694) (author), Kevin Huynh (759619) (author), Habtamu B. Beyene (9427906) (author), Nat A. Mellett (22138895) (author), Gerald F. Watts (9427915) (author), Joseph Hung (418994) (author), Jennie Hui (220409) (author), John Beilby (405654) (author), John Blangero (28885) (author), Eric K. Moses (9427921) (author), Jonathan E. Shaw (6752485) (author), Dianna J. Magliano (7299471) (author), Marcus M. Seldin (17750781) (author), Brian G. Drew (6679241) (author), Anna C. Calkin (6679238) (author), Corey Giles (721742) (author), Peter J. Meikle (9427924) (author)
Published:	2025
Subjects:	Biochemistry Cell Biology Genetics Biotechnology Cancer Hematology Biological Sciences not elsewhere classified reported health benefits population cohort (< plasma lipidomics data mouse transcriptomics corroborated lipidomics data alone lipidomic profiling studies >) gene region degradation showed positive ratios containing choline understanding lipid metabolism ether lipid metabolism utilized lipid ratios 82 lipid ratios plasma ether lipids div >< p total plasmalogens relative lipid metabolism lipid ratios total phospholipids findings showed work demonstrates waist circumference two metabolites tmem229b </ systems genomics surrogate markers sensitive indicators related markers processes underlying potential role position within plasmalogen synthesis omic datasets nucleotide polymorphisms negatively associated n </ metabolic changes inversely associated inverse relationship genetic architecture enzymes involved enzymatic activity
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Integration of lipid ratios with multi-omic datasets to explore ether lipid metabolism in obesity.

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