Evidence map›Paper›PMID 29354024›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

High-throughput extraction and quantification method for targeted metabolomics in murine tissues.

Sven Zukunft, Cornelia Prehn, Cornelia Röhring, Gabriele Möller, Martin Hrabě de Angelis, Jerzy Adamski, Janina Tokarz

Open access · hybridAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

60 citing papers in PubMed, 97 citations in OpenAlex.

  1. Review
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  8. Evaluation of exploratory fluid biomarkers from a phase 1 senolytic trial in mild Alzheimer's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
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  10. Review
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  12. Review
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  14. Stool and blood metabolomics in the metabolic syndrome: a cross-sectional study.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  15. Article
  16. Article
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  19. Energy Metabolism Is Altered in Radioresistant Rectal Cancer.International journal of molecular sciences · 2023
    Article
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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

7 authors at 2 institutions in 2 countries.

Sven ZukunftHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Experimental Genetics, Genome Analysis Center, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany.
Cornelia PrehnHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Experimental Genetics, Genome Analysis Center, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany.
Cornelia RöhringBiocrates Life Sciences AG, Eduard-Bodem-Gasse 8, 6020, Innsbruck, Austria.
Gabriele MöllerHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Experimental Genetics, Genome Analysis Center, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany.
Martin Hrabě de AngelisHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Experimental Genetics, Genome Analysis Center, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany.
Jerzy AdamskiHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Experimental Genetics, Genome Analysis Center, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany.
Janina TokarzHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Experimental Genetics, Genome Analysis Center, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany. janina.tokarz@helmholtz-muenchen.de.ORCID http://orcid.org/0000-0003-4344-4149
Helmholtz Zentrum München · DEBiocrates Life Sciences (Austria) · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlobal metabolomics analyses using body fluids provide valuable results for the understanding and prediction of diseases. However, the mechanism of a disease is often tissue-based and it is advantageous to analyze metabolomic changes directly in the tissue. Metabolomics from tissue samples faces many challenges like tissue collection, homogenization, and metabolite extraction.

objectivesWe aimed to establish a metabolite extraction protocol optimized for tissue metabolite quantification by the targeted metabolomics Absolute

methodsWe quantified metabolites in samples of eleven murine tissues after extraction with three solvents (methanol, phosphate buffer, ethanol/phosphate buffer mixture) in two tissue to solvent ratios and analyzed the extraction yield, ionization efficiency, and reproducibility.

resultsWe found methanol and ethanol/phosphate buffer to be superior to phosphate buffer in regard to extraction yield, reproducibility, and ionization efficiency for all metabolites measured. Phosphate buffer, however, outperformed both organic solvents for amino acids and biogenic amines but yielded unsatisfactory results for lipids. The observed matrix effects of tissue extracts were smaller or in a similar range compared to those of human plasma.

conclusionWe provide for each murine tissue type an optimized high-throughput metabolite extraction protocol, which yields the best results for extraction, reproducibility, and quantification of metabolites in the p180 kit. Although the performance of the extraction protocol was monitored by the p180 kit, the protocol can be applicable to other targeted metabolomics assays.

Indexed as

AcylcarnitinesAmino acidsBiogenic aminesLipidsMetabolomicsTissue extraction

Identifiers

PMID29354024
PMCPMC5748028
OpenAlexW2777765987

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.