Evidence map›Paper›PMID 31106868›Full record

ReviewElectrophoresis2019

CE-MS for anionic metabolic profiling: An overview of methodological developments.

Marlien van Mever, Thomas Hankemeier, Rawi Ramautar

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
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.

Marlien van MeverBiomedical Microscale Analytics, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Thomas HankemeierAnalytical BioSciences & Metabolomics, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Rawi RamautarBiomedical Microscale Analytics, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.ORCID 0000-0002-1673-4848

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek 723.016.003Netherlands Organization of Scientific Research NWO Vidi 723.016.003
6 · The paper itself

Abstract

The efficient profiling of highly polar and charged metabolites in biological samples remains a huge analytical challenge in metabolomics. Over the last decade, new analytical techniques have been developed for the selective and sensitive analysis of polar ionogenic compounds in various matrices. Still, the analysis of such compounds, notably for acidic ionogenic metabolites, remains a challenging endeavor, even more when the available sample size becomes an issue for the total analytical workflow. In this paper, we give an overview of the possibilities of capillary electrophoresis-mass spectrometry (CE-MS) for anionic metabolic profiling by focusing on main methodological developments. Attention is paid to the development of improved separation conditions and new interfacing designs in CE-MS for anionic metabolic profiling. A complete overview of all CE-MS-based methods developed for this purpose is provided in table format (Table 1) which includes information on sample type, separation conditions, mass analyzer and limits of detection (LODs). Selected applications are discussed to show the utility of CE-MS for anionic metabolic profiling, especially for small-volume biological samples. On the basis of the examination of the reported literature in this specific field, we conclude that there is still room for the design of a highly sensitive and reliable CE-MS method for anionic metabolic profiling. A rigorous validation and the availability of standard operating procedures would be highly favorable in order to make CE-MS an alternative, viable analytical technique for metabolomics.

Indexed as

Electrophoresis, CapillaryMass SpectrometryMetabolomicsAnimalsAnionsHumansLimit of DetectionMetabolomeMiceRatsReproducibility of ResultsAnionsAnionic metabolic profilingApplicationsMass SpectrometryMetabolomicsMethodological Developments

Identifiers

PMID31106868
PMCPMC6771621

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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.