Evidence map›Paper›PMID 21894988›Full record

ArticleAnalytical chemistry2011

Ratio analysis nuclear magnetic resonance spectroscopy for selective metabolite identification in complex samples.

Siwei Wei, Jian Zhang, Lingyan Liu, Tao Ye, G A Nagana Gowda, Fariba Tayyari, Daniel Raftery

Abstract read
In one paragraph

Article in Analytical chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Metabolite Fraction Libraries for Quantitative NMR Metabolomics.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Analysis of Small-Molecule Mixtures by Super-ResolvedThe journal of physical chemistry. A · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. rDolphin: a GUI R package for proficient automatic profiling of 1DMetabolomics : Official journal of the Metabolomic Society · 2018
    Article
  12. Article
  13. The future of NMR-based metabolomics.Current opinion in biotechnology · 2017
    Review
  14. Can NMR solve some significant challenges in metabolomics?Journal of magnetic resonance (San Diego, Calif. : 1997) · 2015
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

7 authors.

Siwei WeiDepartment of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, USA.
Jian Zhang
Lingyan Liu
Tao Ye
G A Nagana Gowda
Fariba Tayyari
Daniel Raftery

Funding

Advanced Methods in NMR-Based MetabolomicsR01GM085291 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAFTERY, DANIEL · 2008 to 2016
$2.7M
NIGMS NIH HHS 1R01GM085291NIGMS NIH HHS R01 GM085291
6 · The paper itself

Abstract

Metabolite identification in the complex NMR spectra of biological samples is a challenging task due to significant spectral overlap and limited signal-to-noise. In this study we present a new approach, RANSY (ratio analysis NMR spectroscopy), which identifies all the peaks of a specific metabolite on the basis of the ratios of peak heights or integrals. We show that the spectrum for an individual metabolite can be generated by exploiting the fact that the peak ratios for any metabolite in the NMR spectrum are fixed and proportional to the relative numbers of magnetically distinct protons. When the peak ratios are divided by their coefficients of variation derived from a set of NMR spectra, the generation of an individual metabolite spectrum is enabled. We first tested the performance of this approach using one-dimensional (1D) and two-dimensional (2D) NMR data of mixtures of synthetic analogues of common body fluid metabolites. Subsequently, the method was applied to (1)H NMR spectra of blood serum samples to demonstrate the selective identification of a number of metabolites. The RANSY approach, which does not need any additional NMR experiments for spectral simplification, is easy to perform and has the potential to aid in the identification of unknown metabolites using 1D or 2D NMR spectra in virtually any complex biological mixture.

Indexed as

Magnetic Resonance SpectroscopyBody FluidsSerumSignal-To-Noise Ratio

Identifiers

PMID21894988
PMCPMC3193582

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.