Evidence map›Paper›PMID 34588529›Full record

ArticleScientific reports2021

Mouse lipidomics reveals inherent flexibility of a mammalian lipidome.

Michał A Surma, Mathias J Gerl, Ronny Herzog, Jussi Helppi, Kai Simons, Christian Klose

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
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  9. Cardiolipin preserves TNature metabolism · 2026
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  18. Article
  19. Cholesterol-containing lipid crystals can directly stiffen the rat steatotic liver before fibrosis.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  20. Article

3 more citing papers are in PubMed but not listed here.

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

6 authors.

Michał A SurmaLipotype GmbH, Tatzberg 47, 01307, Dresden, Germany.ORCID 0000-0001-7833-2214
Mathias J GerlLipotype GmbH, Tatzberg 47, 01307, Dresden, Germany.ORCID 0000-0002-8074-7221
Ronny HerzogLipotype GmbH, Tatzberg 47, 01307, Dresden, Germany.
Jussi HelppiMPI-CBG, Pfotenhauerstraße 108, 01307, Dresden, Germany.ORCID 0000-0002-2868-7014
Kai SimonsLipotype GmbH, Tatzberg 47, 01307, Dresden, Germany.ORCID 0000-0002-9231-9996
Christian KloseLipotype GmbH, Tatzberg 47, 01307, Dresden, Germany. klose@lipotype.com.ORCID 0000-0003-2853-4533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipidomics has become an indispensable method for the quantitative assessment of lipid metabolism in basic, clinical, and pharmaceutical research. It allows for the generation of information-dense datasets in a large variety of experimental setups and model organisms. Previous studies, mostly conducted in mice (Mus musculus), have shown a remarkable specificity of the lipid compositions of different cell types, tissues, and organs. However, a systematic analysis of the overall variation of the mouse lipidome is lacking. To fill this gap, in the present study, the effect of diet, sex, and genotype on the lipidomes of mouse tissues, organs, and bodily fluids has been investigated. Baseline quantitative lipidomes consisting of 796 individual lipid molecules belonging to 24 lipid classes are provided for 10 different sample types. Furthermore, the susceptibility of lipidomes to the tested parameters is assessed, providing insights into the organ-specific lipidomic plasticity and flexibility. This dataset provides a valuable resource for basic and pharmaceutical researchers working with murine models and complements existing proteomic and transcriptomic datasets. It will inform experimental design and facilitate interpretation of lipidomic datasets.

Indexed as

Lipid MetabolismLipidomicsAnimalsFemaleMaleMiceMice, Inbred C57BL

Identifiers

PMID34588529
PMCPMC8481471

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Registered trials

None linked

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.