Evidence map›Paper›PMID 40112951›Full record

ArticleJournal of lipid research2025

Clinical lipidomics reveals high individuality and sex specificity of circulatory lipid signatures: a prospective healthy population study.

Jessica Medina, Nicolas Goss, Gonçalo Dos Santos Correia, Rebecca Borreggine, Tony Teav, Zoltan Kutalik, Pedro Marques Vidal, Hector Gallart-Ayala, Julijana Ivanisevic

Abstract read
In one paragraph

Article in Journal of lipid research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

9 authors.

Jessica MedinaMetabolomics and Lipidomics and Lipidomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Nicolas GossMetabolomics and Lipidomics and Lipidomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Gonçalo Dos Santos CorreiaInstitute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK; March of Dimes Prematurity Research Centre at Imperial College London, London, UK.
Rebecca BorreggineMetabolomics and Lipidomics and Lipidomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Tony TeavMetabolomics and Lipidomics and Lipidomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Zoltan KutalikDepartment of Computational Biology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Pedro Marques VidalDepartment of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
Hector Gallart-AyalaMetabolomics and Lipidomics and Lipidomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland. Electronic address: hector.gallartayala@unil.ch.
Julijana IvanisevicMetabolomics and Lipidomics and Lipidomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland. Electronic address: Julijana.ivanisevic@unil.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid metabolism and circulatory lipid levels are tightly associated with the (cardio)metabolic health. Consequently, MS-based lipidomics has emerged as a powerful phenotyping tool in epidemiological, human population, and in clinical intervention studies. However, ensuring high-throughput and reproducible measurement of a wide panel of circulatory lipid species in large-scale studies poses a significant challenge. Here, we applied a recently developed quantitative LC-MS/MS lipidomics approach to a subset of 1,086 fasted plasma samples belonging to apparently healthy participants from prospective Lausanne population study. This high-coverage and high-throughput hydrophilic interaction liquid chromatography-based methodology allowed for the robust measurement of 782 circulatory lipid species spanning 22 lipid classes and six orders of magnitude-wide concentration range. This was achieved by combining semiautomated sample preparation using a stable isotope dilution approach and the alternate analysis of National Institute of Standards and Technology plasma reference material, as a quality control. Based on National Institute of Standards and Technology quality control analysis, median between-batch reproducibility was 8.5%, over the course of analysis of 13 independent batches comprising 1,086 samples collected from 364 individuals at three time points. Importantly, the biological variability, per lipid species, was significantly higher than the batch-to-batch analytical variability. Furthermore, the significantly lower between-subject (than within-subject) variability and unsupervised sample clustering demonstrated the high individuality and sex specificity of circulatory lipidome. The most prominent sex differences were reported for sphingomyelins and ether-linked phospholipids present in significantly higher concentrations in female plasma. The high individuality and sex specificity of circulatory lipidome constitute important pre-requisites for the application of lipidomics in next-generation metabolic health monitoring.

Indexed as

LipidomicsLipidsSex CharacteristicsAdultAgedChromatography, LiquidFemaleHumansLipid MetabolismMaleMiddle AgedProspective StudiesTandem Mass SpectrometryLipidscirculatory lipidsclinical lipidomicsHILIC-MS/MSpersonalized signaturesprospective healthy populationsex differences

Identifiers

PMID40112951
PMCPMC12022646

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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.