Evidence map›Paper›PMID 28000704›Full record

ArticleScientific reports2016

Systematic Assessment of Seven Solvent and Solid-Phase Extraction Methods for Metabolomics Analysis of Human Plasma by LC-MS.

Dmitri G Sitnikov, Cian S Monnin, Dajana Vuckovic

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Article
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  5. Mass Spectrometry as a Tool for Metabolomics in Cancer.Advances in experimental medicine and biology · 2026
    Review
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  7. Review
  8. Article
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  11. Impact of myocardial revascularization surgery on the plasma metabolome.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  12. Article
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  14. Article
  15. Memory effects of prior subculture may impact the quality of multiomic perturbation profiles.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. 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

3 authors.

Dmitri G SitnikovDepartment of Chemistry and Biochemistry, Concordia University, 7141 Sherbrooke St. W., Montréal, Québec, H4B 1R6, Canada.
Cian S MonninDepartment of Chemistry and Biochemistry, Concordia University, 7141 Sherbrooke St. W., Montréal, Québec, H4B 1R6, Canada.
Dajana VuckovicDepartment of Chemistry and Biochemistry, Concordia University, 7141 Sherbrooke St. W., Montréal, Québec, H4B 1R6, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The comparison of extraction methods for global metabolomics is usually executed in biofluids only and focuses on metabolite coverage and method repeatability. This limits our detailed understanding of extraction parameters such as recovery and matrix effects and prevents side-by-side comparison of different sample preparation strategies. To address this gap in knowledge, seven solvent-based and solid-phase extraction methods were systematically evaluated using standard analytes spiked into both buffer and human plasma. We compared recovery, coverage, repeatability, matrix effects, selectivity and orthogonality of all methods tested for non-lipid metabolome in combination with reversed-phased and mixed-mode liquid chromatography mass spectrometry analysis (LC-MS). Our results confirmed wide selectivity and excellent precision of solvent precipitations, but revealed their high susceptibility to matrix effects. The use of all seven methods showed high overlap and redundancy which resulted in metabolite coverage increases of 34-80% depending on LC-MS method employed as compared to the best single extraction protocol (methanol/ethanol precipitation) despite 7x increase in MS analysis time and sample consumption. The most orthogonal methods to methanol-based precipitation were ion-exchange solid-phase extraction and liquid-liquid extraction using methyl-tertbutyl ether. Our results help facilitate rational design and selection of sample preparation methods and internal standards for global metabolomics.

Indexed as

MetabolomeChromatography, LiquidHumansMass SpectrometryMetabolomics

Identifiers

PMID28000704
PMCPMC5175266

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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.