Evidence map›Paper›PMID 25140385›Full record

ArticleAnalytical chemistry2014

¹³C NMR metabolomics: applications at natural abundance.

Chaevien S Clendinen, Brittany Lee-McMullen, Caroline M Williams, Gregory S Stupp, Krista Vandenborne, Daniel A Hahn, Glenn A Walter, Arthur S Edison

Abstract read
In one paragraph

Article in Analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Structural dynamics (Melville, N.Y.) · 2026
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  8. Application of Counter-wound Multi-arm Spirals in HTS Resonator Design.IEEE transactions on applied superconductivity : a publication of the IEEE Superconductivity Committee · 2022
    Article
  9. Article
  10. Metabolomics on the study of marine organisms.Metabolomics : Official journal of the Metabolomic Society · 2022
    Review
  11. Article
  12. Review
  13. Article
  14. Extending the Scope ofAnalytical chemistry · 2021
    Article
  15. Progress Towards a Higher SensitivityIEEE transactions on applied superconductivity : a publication of the IEEE Superconductivity Committee · 2021
    Article
  16. Review
  17. Hyperpolarized NMR Metabolomics at NaturalAnalytical chemistry · 2020
    Article
  18. Review
  19. Article
  20. NMR Spectroscopy-Based Metabolic Profiling of Biospecimens.Current protocols in protein science · 2019
    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

8 authors.

Chaevien S ClendinenDepartment of Biochemistry & Molecular Biology, ‡Department of Entomology and Nematology, §Department of Physical Therapy, ∥Department of Physiology and Functional Genomics, and ⊥Southeast Center for Integrated Metabolomics, University of Florida , Gainesville, Florida 32610-0245, United States.
Brittany Lee-McMullen
Caroline M Williams
Gregory S Stupp
Krista Vandenborne
Daniel A Hahn
Glenn A Walter
Arthur S Edison

Funding

Training and education CoreU54AR052646 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI MCNALLY, ELIZABETH M, SWEENEY, H LEE · 2005 to 2020
$24.1M
Southeast Resource Center for Integrated Metabolomics (SECIM)U24DK097209 · NIDDK · UNIVERSITY OF FLORIDA · PI EDISON, ARTHUR S, YOST, RICHARD A. · 2013 to 2017
$9.2M
Training In Rehabilitation and Neuromuscular PlasticityT32HD043730 · NICHD · UNIVERSITY OF FLORIDA · PI DAVID D FULLER · 2003 to 2026
$5.3M
Improved NMR Technology for Natural Products and Metabolomics.R01EB009772 · NIBIB · UNIVERSITY OF FLORIDA · PI EDISON, ARTHUR S · 2009 to 2012
$1.6M
NIAMS NIH HHS U54 AR052646NIAMS NIH HHS U54AR052646NIBIB NIH HHS R01 EB009772NIBIB NIH HHS R01EB009772NICHD NIH HHS T32 HD043730NIDDK NIH HHS 1U24DK097209-01A1NIDDK NIH HHS U24 DK097209
6 · The paper itself

Abstract

(13)C NMR has many advantages for a metabolomics study, including a large spectral dispersion, narrow singlets at natural abundance, and a direct measure of the backbone structures of metabolites. However, it has not had widespread use because of its relatively low sensitivity compounded by low natural abundance. Here we demonstrate the utility of high-quality (13)C NMR spectra obtained using a custom (13)C-optimized probe on metabolomic mixtures. A workflow was developed to use statistical correlations between replicate 1D (13)C and (1)H spectra, leading to composite spin systems that can be used to search publicly available databases for compound identification. This was developed using synthetic mixtures and then applied to two biological samples, Drosophila melanogaster extracts and mouse serum. Using the synthetic mixtures we were able to obtain useful (13)C-(13)C statistical correlations from metabolites with as little as 60 nmol of material. The lower limit of (13)C NMR detection under our experimental conditions is approximately 40 nmol, slightly lower than the requirement for statistical analysis. The (13)C and (1)H data together led to 15 matches in the database compared to just 7 using (1)H alone, and the (13)C correlated peak lists had far fewer false positives than the (1)H generated lists. In addition, the (13)C 1D data provided improved metabolite identification and separation of biologically distinct groups using multivariate statistical analysis in the D. melanogaster extracts and mouse serum.

Indexed as

Carbon-13 Magnetic Resonance SpectroscopyMetabolomicsAnimalsDatabases, FactualDisease Models, AnimalDrosophila melanogasterMiceMuscular Dystrophy, DuchenneProton Magnetic Resonance SpectroscopySerum

Identifiers

PMID25140385
PMCPMC4165451

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.