Evidence map›Paper›PMID 26915807›Full record

ReviewBioanalysis2016

Emerging new strategies for successful metabolite identification in metabolomics.

Kerem Bingol, Lei Bruschweiler-Li, Dawei Li, Bo Zhang, Mouzhe Xie, Rafael Brüschweiler

Abstract readReview
In one paragraph

Review in Bioanalysis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Review
  2. Article
  3. Correlations for untargeted GC × GC-HRTOF-MS metabolomics of colorectal cancer.Metabolomics : Official journal of the Metabolomic Society · 2023
    Article
  4. Metabolomics and NMR.Handbook of experimental pharmacology · 2023
    Article
  5. Article
  6. Problems, principles and progress in computational annotation of NMR metabolomics data.Metabolomics : Official journal of the Metabolomic Society · 2022
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Biocompatible surface functionalization architecture for a diamond quantum sensor.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

6 authors.

Kerem BingolPacific Northwest National Laboratory, Richland, WA 99352, USA.
Lei Bruschweiler-LiCampus Chemical Instrument Center, The Ohio State University, Columbus, OH 43210, USA.
Dawei LiCampus Chemical Instrument Center, The Ohio State University, Columbus, OH 43210, USA.
Bo ZhangDepartment of Chemistry & Biochemistry, The Ohio State University, Columbus, OH 43210, USA.
Mouzhe XieDepartment of Chemistry & Biochemistry, The Ohio State University, Columbus, OH 43210, USA.
Rafael BrüschweilerCampus Chemical Instrument Center, The Ohio State University, Columbus, OH 43210, USA.

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 DK097209NIDDK NIH HHS U24 DK097209-01A1NIGMS NIH HHS R01 GM 066041NIGMS NIH HHS R01 GM066041
6 · The paper itself

Abstract

This review discusses strategies for the identification of metabolites in complex biological mixtures, as encountered in metabolomics, which have emerged in the recent past. These include NMR database-assisted approaches for the identification of commonly known metabolites as well as novel combinations of NMR and MS analysis methods for the identification of unknown metabolites. The use of certain chemical additives to the NMR tube can permit identification of metabolites with specific physical chemical properties.

Indexed as

MetabolomicsDatabases, FactualMagnetic Resonance SpectroscopyMass SpectrometryMetabolomePharmaceutical PreparationsTrimethyl Ammonium CompoundscholaminePharmaceutical PreparationsTrimethyl Ammonium Compoundscomplex mixture analysismetabolite databasesmetabolomicsMS of metabolite mixturesnanoparticle-assisted metabolomicsNMR of metabolite mixturesparamagnetic relaxation enhancement

Identifiers

PMID26915807
PMCPMC5493966

What OpenQuestion holds

Textmetadata
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.