Evidence map›Paper›PMID 29176591›Full record

ArticleNature methods2018

Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics.

Zijuan Lai, Hiroshi Tsugawa, Gert Wohlgemuth, Sajjan Mehta, Matthew Mueller, Yuxuan Zheng, Atsushi Ogiwara, John Meissen, Megan Showalter, Kohei Takeuchi and 4 more

Abstract read
In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 265 papers.

0numbers the graph read from it
0cells of the map it votes in
265citing 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

265 citing papers in PubMed.

  1. Article
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  5. Article
  6. Untargeted Metabolomic and Phytochemical Profiling ofPharmaceuticals (Basel, Switzerland) · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. The MassBank contributions of the mFam collaboration.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

205 more citing papers are in PubMed but not listed here.

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

14 authors.

Zijuan LaiWest Coast Metabolomics Center, UC Davis, Davis, California, USA.
Hiroshi TsugawaRIKEN Center for Sustainable Resource Science, Yokohama, Japan.ORCID 0000-0002-2015-3958
Gert WohlgemuthWest Coast Metabolomics Center, UC Davis, Davis, California, USA.
Sajjan MehtaWest Coast Metabolomics Center, UC Davis, Davis, California, USA.ORCID 0000-0002-7764-3886
Matthew MuellerWest Coast Metabolomics Center, UC Davis, Davis, California, USA.
Yuxuan ZhengDepartment of Chemistry, UC Davis, Davis, California, USA.
Atsushi OgiwaraReifycs Inc., Tokyo, Japan.
John MeissenWest Coast Metabolomics Center, UC Davis, Davis, California, USA.
Megan ShowalterWest Coast Metabolomics Center, UC Davis, Davis, California, USA.
Kohei TakeuchiPerfume Development Research Laboratory, Kao Corporation, Tokyo, Japan.
Tobias KindWest Coast Metabolomics Center, UC Davis, Davis, California, USA.
Peter BealDepartment of Chemistry, UC Davis, Davis, California, USA.
Masanori AritaRIKEN Center for Sustainable Resource Science, Yokohama, Japan.
Oliver FiehnWest Coast Metabolomics Center, UC Davis, Davis, California, USA.ORCID 0000-0002-6261-8928

Funding

West Coast Central Comprehensive Metabolomics Resource Core (WC3MRC)U24DK097154 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FIEHN, OLIVER · 2012 to 2017
$9.9M
Nucleobase analogs for next generation siRNAsR01GM080784 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BEAL, PETER A. · 2007 to 2020
$3.5M
NIDDK NIH HHS U24 DK097154NIGMS NIH HHS R01 GM080784
6 · The paper itself

Abstract

Novel metabolites distinct from canonical pathways can be identified through the integration of three cheminformatics tools: BinVestigate, which queries the BinBase gas chromatography-mass spectrometry (GC-MS) metabolome database to match unknowns with biological metadata across over 110,000 samples; MS-DIAL 2.0, a software tool for chromatographic deconvolution of high-resolution GC-MS or liquid chromatography-mass spectrometry (LC-MS); and MS-FINDER 2.0, a structure-elucidation program that uses a combination of 14 metabolome databases in addition to an enzyme promiscuity library. We showcase our workflow by annotating N-methyl-uridine monophosphate (UMP), lysomonogalactosyl-monopalmitin, N-methylalanine, and two propofol derivatives.

Indexed as

Databases, FactualMetabolomeSoftwareBacteriaBlood ProteinsChromatography, LiquidComputational BiologyFecesGas Chromatography-Mass SpectrometryHumansMetabolomicsBlood Proteins

Identifiers

PMID29176591
PMCPMC6358022

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.