Evidence map›Paper›PMID 27552705›Full record

ReviewCurrent opinion in biotechnology2017

Knowns and unknowns in metabolomics identified by multidimensional NMR and hybrid MS/NMR methods.

Kerem Bingol, Rafael Brüschweiler

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.7field-weighted citation impact, top 5% of its field
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

35 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Accurate Prediction ofMetabolites · 2024
    Article
  7. Review
  8. Article
  9. Review
  10. Journal of the American Society for Mass Spectrometry · 2022
    Article
  11. Review
  12. Article
  13. Metabolomics of neurological disorders in India.Analytical science advances · 2021
    Review
  14. Intraspecific variation in polar and nonpolar metabolite profiles of a threatened Caribbean coral.Metabolomics : Official journal of the Metabolomic Society · 2021
    Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Chemical Discovery in the Era of Metabolomics.Journal of the American Chemical Society · 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

2 authors at 2 institutions in 1 country.

Kerem BingolEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA 99354, United States.
Rafael BrüschweilerCampus Chemical Instrument Center, The Ohio State University, Columbus, OH 43210, United States; Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH 43210, United States; Department of Biological Chemistry and Pharmacology, The Ohio State University, Columbus, OH 43210, United States. Electronic address: bruschweiler.1@osu.edu.
Environmental Molecular Sciences Laboratory · USThe Ohio State University · US

Funding

Southeast Resource Center for Integrated Metabolomics (SECIM)U24DK097209 · NIDDK · UNIVERSITY OF FLORIDA · PI EDISON, ARTHUR S, YOST, RICHARD A. · 2013 to 2017
$9.2M
New hybrid methods for the improved and integrated analysis of complex metabolomics mixturesR01GM066041 · NIGMS · OHIO STATE UNIVERSITY · PI BRUSCHWEILER, RAFAEL · 2002 to 2019
$3.3M
NIDDK NIH HHS U24 DK097209NIGMS NIH HHS R01 GM066041
6 · The paper itself

Abstract

Metabolomics continues to make rapid progress through the development of new and better methods and their applications to gain insight into the metabolism of a wide range of different biological systems from a systems biology perspective. Customization of NMR databases and search tools allows the faster and more accurate identification of known metabolites, whereas the identification of unknowns, without a need for extensive purification, requires new strategies to integrate NMR with mass spectrometry, cheminformatics, and computational methods. For some applications, the use of covalent and non-covalent attachments in the form of labeled tags or nanoparticles can significantly reduce the complexity of these tasks.

Indexed as

AnimalsBiomarkersDatabases, FactualHumansMagnetic Resonance SpectroscopyMass SpectrometryMetabolomicsSystems BiologyBiomarkers

Identifiers

PMID27552705
PMCPMC5305439
OpenAlexW2508870274

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.