Evidence map›Paper›PMID 30232802›Full record

ReviewElectrophoresis2019

CE-MS for metabolomics: Developments and applications in the period 2016-2018.

Rawi Ramautar, Govert W Somsen, Gerhardus J de Jong

Abstract readReview
In one paragraph

Review in Electrophoresis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
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  5. Article
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  10. Review
  11. Metabolomics and its Applications in Cancer Cachexia.Frontiers in molecular biosciences · 2022
    Review
  12. Review
  13. Article
  14. Quo VadisMetabolites · 2021
    Review
  15. Review
  16. Review
  17. Article
  18. Metabolomics Data Treatment: Basic Directions of the Full Process.Advances in experimental medicine and biology · 2021
    Article
  19. Review
  20. Review
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.

Rawi RamautarBiomedical Microscale Analytics, Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands.ORCID 0000-0002-1673-4848
Govert W SomsenDivision of BioAnalytical Chemistry, Amsterdam Institute for Molecules, Medicines and Systems, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Gerhardus J de JongBiomolecular Analysis, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.

Funding

Netherlands Organization for Scientific Research NWO Vidi 723.016.003
6 · The paper itself

Abstract

In the field of metabolomics, CE-MS is now recognized as a strong analytical technique for the analysis of (highly) polar and charged metabolites in a wide range of biological samples. Over the past few years, significant attention has been paid to the design and improvement of CE-MS approaches for (large-scale) metabolic profiling studies and for establishing protocols in order to further expand the role of CE-MS in metabolomics. In this paper, which is a follow-up of a previous review paper covering the years 2014-2016 (Electrophoresis 2017, 38, 190-202), main advances in CE-MS approaches for metabolomics studies are outlined covering the literature from July 2016 to June 2018. Aspects like developments in interfacing designs and data analysis tools for improving the performance of CE-MS for metabolomics are discussed. Representative examples highlight the utility of CE-MS in the fields of biomedical, clinical, microbial, and plant metabolomics. A complete overview of recent CE-MS-based metabolomics studies is given in a table, which provides information on sample type and pretreatment, capillary coatings and MS detection mode. Finally, some general conclusions and perspectives are given.

Indexed as

Electrophoresis, CapillaryMass SpectrometryMetabolomicsAnimalsHumansMetabolomeMiceBiomedical and clinicalMass spectrometryMetabolomicsMicrobial and plantTechnological developments

Identifiers

PMID30232802
PMCPMC6586046

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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.