Evidence map›Paper›PMID 30777728›Full record

ArticleMolecular metabolism2019

Comprehensive and quantitative analysis of white and brown adipose tissue by shotgun lipidomics.

Michal Grzybek, Alessandra Palladini, Vasileia I Alexaki, Michal A Surma, Kai Simons, Triantafyllos Chavakis, Christian Klose, Ünal Coskun

Abstract read
In one paragraph

Article in Molecular metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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  18. The foundations and development of lipidomics.Journal of lipid research · 2022
    Review
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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

8 authors.

Michal GrzybekPaul Langerhans Institute Dresden of the Helmholtz Zentrum Munich at the University Clinic Carl Gustav Carus, TU Dresden, Dresden, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany.
Alessandra PalladiniPaul Langerhans Institute Dresden of the Helmholtz Zentrum Munich at the University Clinic Carl Gustav Carus, TU Dresden, Dresden, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany.
Vasileia I AlexakiInstitute for Clinical Chemistry and Laboratory Medicine, Faculty of Medicine, TU Dresden, Dresden, Germany.
Michal A SurmaLipotype GmbH, Dresden, Germany.
Kai SimonsLipotype GmbH, Dresden, Germany.
Triantafyllos ChavakisPaul Langerhans Institute Dresden of the Helmholtz Zentrum Munich at the University Clinic Carl Gustav Carus, TU Dresden, Dresden, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany; Institute for Clinical Chemistry and Laboratory Medicine, Faculty of Medicine, TU Dresden, Dresden, Germany.
Christian KloseLipotype GmbH, Dresden, Germany. Electronic address: klose@lipotype.de.
Ünal CoskunPaul Langerhans Institute Dresden of the Helmholtz Zentrum Munich at the University Clinic Carl Gustav Carus, TU Dresden, Dresden, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany. Electronic address: coskun@plid.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveShotgun lipidomics enables an extensive analysis of lipids from tissues and fluids. Each specimen requires appropriate extraction and processing procedures to ensure good coverage and reproducible quantification of the lipidome. Adipose tissue (AT) has become a research focus with regard to its involvement in obesity-related pathologies. However, the quantification of the AT lipidome is particularly challenging due to the predominance of triacylglycerides, which elicit high ion suppression of the remaining lipid classes.

methodsWe present a new and validated method for shotgun lipidomics of AT, which tailors the lipid extraction procedure to the target specimen and features high reproducibility with a linear dynamic range of at least 4 orders of magnitude for all lipid classes.

resultsUtilizing this method, we observed tissue-specific and diet-related differences in three AT types (brown, gonadal, inguinal subcutaneous) from lean and obese mice. Brown AT exhibited a distinct lipidomic profile with the greatest lipid class diversity and responded to high-fat diet by altering its lipid composition, which shifted towards that of white AT. Moreover, diet-induced obesity promoted an overall remodeling of the lipidome, where all three AT types featured a significant increase in longer and more unsaturated triacylglyceride and phospholipid species.

conclusionsThe here presented method facilitates reproducible systematic lipidomic profiling of AT and could be integrated with further -omics approaches used in (pre-) clinical research, in order to advance the understanding of the molecular metabolic dynamics involved in the pathogenesis of obesity-associated disorders.

Indexed as

LipidomicsLipidsAdipose Tissue, BrownAdipose Tissue, WhiteAnimalsFemaleMiceMice, Inbred C57BLLipidsAdipose tissueChow and high-fat dietLipid extractionLipidomicsLipid remodelingMethod validationMouseShotgun mass spectrometry

Identifiers

PMID30777728
PMCPMC6437637

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Textmetadata
LicenceCC BY-NC-ND
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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.