Evidence map›Paper›PMID 40875616›Full record

ArticlePLoS biology2025

Alterations in ether lipid metabolism in obesity revealed by systems genomics of multi-omics datasets.

Yvette L Schooneveldt, Sudip Paul, Kevin Huynh, Habtamu B Beyene, Nat A Mellett, Gerald F Watts, Joseph Hung, Jennie Hui, John Beilby, John Blangero and 8 more

Abstract read
In one paragraph

Article in PLoS biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Yvette L SchooneveldtBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Sudip PaulBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Kevin HuynhBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Habtamu B BeyeneBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Nat A MellettBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Gerald F WattsSchool of Medicine, University of Western Australia, Perth, Australia.
Joseph HungSchool of Medicine, University of Western Australia, Perth, Australia.
Jennie HuiSchool of Biomedical Sciences, University of Western Australia, Perth, Australia.
John BeilbySchool of Biomedical Sciences, University of Western Australia, Perth, Australia.
John BlangeroSouth Texas Diabetes and Obesity Institute, The University of Texas Rio Grande Valley, Brownsville, Texas, United States of America.
Eric K MosesSchool of Biomedical Sciences, University of Western Australia, Crawley, Western Australia, Australia.
Jonathan E ShawBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Dianna J MaglianoBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Marcus M SeldinDepartment of Biological Chemistry Centre for Epigenetics and Metabolism, University of California, Irvine, California, United States of America.
Brian G DrewBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Anna C CalkinBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Corey GilesBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.ORCID 0000-0002-6050-1259
Peter J MeikleBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.ORCID 0000-0002-2593-4665

Funding

SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
NIBIB NIH HHS R01 EB015611
6 · The paper itself

Abstract

Ratios between two metabolites are sensitive indicators of metabolic changes. Lipidomic profiling studies have revealed that plasma ether lipids, a class of glycero- and glycerophospho-lipids with reported health benefits, are negatively associated with obesity. Here, we utilized lipid ratios as surrogate markers of lipid metabolism to explore the processes underlying the inverse relationship between ether lipid metabolism and obesity. Plasma lipidomics data from two independent human cohorts (n = 10,339 and n = 4,492) were integrated to assess the associations between 82 lipid ratios and obesity-related markers in males and females. Results were externally validated using mouse transcriptomics data from the Hybrid Mouse Diversity Panel (n = 152-227 across 74 strains). Genome-wide association studies using imputed genotypes from a population cohort (n = 4,492) were performed to examine the genetic architecture of the ratios. Findings showed that waist circumference (WC), body mass index, and waist-hip ratio were inversely associated with total plasmalogens relative to total phospholipids in both sexes. Ratios comprising product-substrate pairs positioned either side of enzymes involved in plasmalogen synthesis and degradation showed positive and negative associations with WC, respectively. Branched-chain fatty acids negatively correlated with WC, while omega-6 polyunsaturated fatty acids exhibited differing associations depending on their position within the pathway. Mouse transcriptomics corroborated these results. Genomics data showed strong associations between ratios containing choline-plasmalogens and single-nucleotide polymorphisms in the transmembrane protein 229B (TMEM229B) gene region. This work demonstrates the utility of lipid ratios in understanding lipid metabolism. By applying the ratios to multi-omic datasets, we identified alterations in enzymatic activity and genetic variants likely affecting ether lipid synthesis in obesity that could not have been obtained from lipidomics data alone. Additionally, we characterized a potential role for TMEM229B, offering new perspectives on ether lipid metabolism and regulation.

Indexed as

Lipid MetabolismObesityAdultAnimalsBody Mass IndexFemaleGenome-Wide Association StudyGenomicsHumansLipidomicsMaleMiceMultiomicsPlasmalogensPolymorphism, Single NucleotideWaist CircumferencePlasmalogens

Identifiers

PMID40875616
PMCPMC12393746

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.