Evidence map›Paper›PMID 24465670›Full record

ArticlePloS one2014

Signal intensities derived from different NMR probes and parameters contribute to variations in quantification of metabolites.

Paige Lacy, Ryan T McKay, Michael Finkel, Alla Karnovsky, Scott Woehler, Michael J Lewis, David Chang, Kathleen A Stringer

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Trial
  2. Gut microbiome-mediated nutrients alter opportunistic bacterial growth in peritonitis.American journal of physiology. Gastrointestinal and liver physiology · 2025
    Article
  3. Urine Metabolites of Suspected Community-Acquired Pneumonia.The Journal of infectious diseases · 2025
    Article
  4. Article
  5. Review
  6. Metabolomics and NMR.Handbook of experimental pharmacology · 2023
    Article
  7. Metabolomics of Respiratory Diseases.Handbook of experimental pharmacology · 2023
    Review
  8. Article
  9. Magnetic resonance spectroscopy for the study of cns malignancies.Progress in nuclear magnetic resonance spectroscopy · 2021
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

8 authors.

Paige LacyPulmonary Research Group, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Ryan T McKayPulmonary Research Group, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Michael FinkelDepartment of Clinical, Social and Administrative Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, United States of America.
Alla KarnovskyDepartment of Computational Medicine and Bioinformatics, School of Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.
Scott WoehlerDepartment of Medicinal Chemistry and the Biochemical Nuclear Magnetic Resonance Core, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, United States of America.
Michael J LewisChenomx, Inc., Edmonton, Alberta, Canada.
David ChangChenomx, Inc., Edmonton, Alberta, Canada.
Kathleen A StringerDepartment of Clinical, Social and Administrative Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, United States of America ; Department of Computational Medicine and Bioinformatics, School of Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.

Funding

Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Andrzej T Galecki · 2004 to 2026
$29.2M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1TR000433-06NIA NIH HHS P30 AG024824NIDDK NIH HHS P30 DK020572PHS HHS AGA024824
6 · The paper itself

Abstract

We discovered that serious issues could arise that may complicate interpretation of metabolomic data when identical samples are analyzed at more than one NMR facility, or using slightly different NMR parameters on the same instrument. This is important because cross-center validation metabolomics studies are essential for the reliable application of metabolomics to clinical biomarker discovery. To test the reproducibility of quantified metabolite data at multiple sites, technical replicates of urine samples were assayed by 1D-(1)H-NMR at the University of Alberta and the University of Michigan. Urine samples were obtained from healthy controls under a standard operating procedure for collection and processing. Subsequent analysis using standard statistical techniques revealed that quantitative data across sites can be achieved, but also that previously unrecognized NMR parameter differences can dramatically and widely perturb results. We present here a confirmed validation of NMR analysis at two sites, and report the range and magnitude that common NMR parameters involved in solvent suppression can have on quantitated metabolomics data. Specifically, saturation power levels greatly influenced peak height intensities in a frequency-dependent manner for a number of metabolites, which markedly impacted the quantification of metabolites. We also investigated other NMR parameters to determine their effects on further quantitative accuracy and precision. Collectively, these findings highlight the importance of and need for consistent use of NMR parameter settings within and across centers in order to generate reliable, reproducible quantified NMR metabolomics data.

Indexed as

BiomarkersHumansMagnetic Resonance SpectroscopyMetabolomicsMiddle AgedReproducibility of ResultsSignal-To-Noise RatioUrinalysisBiomarkers

Identifiers

PMID24465670
PMCPMC3897511

What OpenQuestion holds

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LicenceCC BY
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.