Evidence map›Paper›PMID 26842580›Full record

ArticleRapid communications in mass spectrometry : RCM2016

Analysis of human plasma metabolites across different liquid chromatography/mass spectrometry platforms: Cross-platform transferable chemical signatures.

Kelly H Telu, Xinjian Yan, William E Wallace, Stephen E Stein, Yamil Simón-Manso

Erratum issuedAbstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Inhibitory Activity ofPlants (Basel, Switzerland) · 2023
    Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Nano-liquid chromatography-mass spectrometry and recent applications in omics investigations.Analytical methods : advancing methods and applications · 2020
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kelly H TeluBiomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.
Xinjian YanBiomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.
William E WallaceBiomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.
Stephen E SteinBiomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.
Yamil Simón-MansoBiomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

rationaleThe metabolite profiling of a NIST plasma Standard Reference Material (SRM 1950) on different liquid chromatography/mass spectrometry (LC/MS) platforms showed significant differences. Although these findings suggest caution when interpreting metabolomics results, the degree of overlap of both profiles allowed us to use tandem mass spectral libraries of recurrent spectra to evaluate to what extent these results are transferable across platforms and to develop cross-platform chemical signatures.

methodsNon-targeted global metabolite profiles of SRM 1950 were obtained on different LC/MS platforms using reversed-phase chromatography and different chromatographic scales (conventional HPLC, UHPLC and nanoLC). The data processing and the metabolite differential analysis were carried out using publically available (XCMS), proprietary (Mass Profiler Professional) and in-house software (NIST pipeline).

resultsRepeatability and intermediate precision showed that the non-targeted SRM 1950 profiling was highly reproducible when working on the same platform (relative standard deviation (RSD) <2%); however, substantial differences were found in the LC/MS patterns originating on different platforms or even using different chromatographic scales (conventional HPLC, UHPLC and nanoLC) on the same platform. A substantial degree of overlap (common molecular features) was also found. A procedure to generate consistent chemical signatures using tandem mass spectral libraries of recurrent spectra is proposed. CONLUSIONS: Different platforms rendered significantly different metabolite profiles, but the results were highly reproducible when working within one platform. Tandem mass spectral libraries of recurrent spectra are proposed to evaluate the degree of transferability of chemical signatures generated on different platforms. Chemical signatures based on our procedure are most likely cross-platform transferable.

Indexed as

Chromatography, High Pressure LiquidChromatography, Reverse-PhaseHumansMetabolomeMetabolomicsPlasmaTandem Mass Spectrometry

Identifiers

PMID26842580
PMCPMC5114847

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.