Evidence map›Paper›PMID 30830382›Full record

ReviewMetabolomics : Official journal of the Metabolomic Society2018

Illuminating the dark metabolome to advance the molecular characterisation of biological systems.

Oliver A H Jones

Abstract readReview
PubMed Publisher
In one paragraph

Review 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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Exploring the potential application of alternative nuclei in NMR based metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2023
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Journal of the American Society for Mass Spectrometry · 2022
    Article
  17. Review
  18. Review
  19. MCR-ALS analysis ofAnalytical and bioanalytical chemistry · 2020
    Article
  20. Circadian and Sleep Metabolomics Across Species.Journal of molecular biology · 2020
    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

1 author.

Oliver A H JonesAustralian Centre for Research on Separation Science (ACROSS), School Science, RMIT University, GPO Box 2476, Melbourne, VIC, 3001, Australia. oliver.jones@rmit.edu.au.ORCID 0000-0002-4541-662X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe latest version of the Human Metabolome Database (v4.0) lists 114,100 individual entries. Typically, however, metabolomics studies identify only around 100 compounds and many features identified in mass spectra are listed only as 'unknown compounds'. The lack of ability to detect all metabolites present, and fully identify all metabolites detected (the dark metabolome) means that, despite the great contribution of metabolomics to a range of areas in the last decade, a significant amount of useful information from publically funded studies is being lost or unused each year. This loss of data limits our potential gain in knowledge and understanding of important research areas such as cell biology, environmental pollution, plant science, food chemistry and health and biomedical research. Metabolomics therefore needs to develop new tools and methods for metabolite identification to advance as a field. AIM OF REVIEW: In this critical review, some potential issues with metabolite identification are identified and discussed. New and novel emerging technologies and tools which may contribute to expanding the number of compounds identified in metabolomics studies (thus illuminating the dark metabolome) are reviewed. The aim is to stimulate debate and research in the molecular characterisation of biological systems to drive forward metabolomic research. KEY SCIENTIFIC CONCEPTS OF REVIEW: The work specifically discusses dynamic nuclear polarisation nuclear magnetic resonance spectroscopy (DNP-NMR), non-proton NMR active nuclei, two-dimensional liquid chromatography (2DLC) and Raman spectroscopy (RS). It is suggested that developing new methods for metabolomics with these techniques could lead to advances in the field and better characterisation of biological systems.

Indexed as

Databases, FactualMetabolomeAnimalsHumansMetabolic Networks and PathwaysMetabolomicsDark metabolomeGas chromatographyLiquid chromatographyMass spectrometryMethod developmentNMR

Identifiers

What OpenQuestion holds

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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.