Evidence map›Paper›PMID 27643760›Full record

ReviewCurrent opinion in biotechnology2017

Increasing rigor in NMR-based metabolomics through validated and open source tools.

Hamid R Eghbalnia, Pedro R Romero, William M Westler, Kumaran Baskaran, Eldon L Ulrich, John L Markley

Abstract 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. New Personalized Medicine Model for Medication Management.Journal of personalized medicine · 2026
    Review
  2. Use of Nuclear Magnetic Resonance (NMR) to Study Cancer Metabolism.Advances in experimental medicine and biology · 2026
    Review
  3. Review
  4. Metabolomic changes in children with autism.World journal of clinical pediatrics · 2024
    Article
  5. Best Practices in NMR Metabolomics: Current State.Trends in analytical chemistry : TRAC · 2024
    Article
  6. Non-Targeted Spectranomics for the Early Detection ofMolecules (Basel, Switzerland) · 2023
    Article
  7. Metabolomics and NMR.Handbook of experimental pharmacology · 2023
    Article
  8. Problems, principles and progress in computational annotation of NMR metabolomics data.Metabolomics : Official journal of the Metabolomic Society · 2022
    Review
  9. Studying Metabolism by NMR-Based Metabolomics.Frontiers in molecular biosciences · 2022
    Review
  10. Review
  11. Review
  12. Review
  13. Optimizing 1DMetabolomics : Official journal of the Metabolomic Society · 2019
    Review
  14. Review
  15. Current Challenges in Plant Eco-Metabolomics.International journal of molecular sciences · 2018
    Review
  16. 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.

Hamid R EghbalniaBiochemistry Department, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA. Electronic address: heghbaln@wisc.edu.
Pedro R RomeroBiochemistry Department, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA.
William M WestlerBiochemistry Department, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA.
Kumaran BaskaranBiochemistry Department, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA.
Eldon L UlrichBiochemistry Department, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA.
John L MarkleyBiochemistry Department, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706, USA.

Funding

TRD3 NMRbox: Bayesian AnalyticsP41GM111135 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HOCH, JEFFREY C · 2015 to 2024
$14.0M
TR&D 3: TECHNOLOGY DEVELOPMENT FOR NMR STUDIES OF SMALL MOLECULES (METABOLOMICS, NATURAL PRODUCTS, METABOLITE-PROTEIN INTERACTIONS) pp.537-585 P41GM103399 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BUTCHER, SAMUEL E · 2012 to 2019
$9.4M
The BMRB as an evolving resource for biomolecular structure-function researchR01GM109046 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI HOCH, JEFFREY C · 2014 to 2022
$6.6M
NIGMS NIH HHS P41 GM103399NIGMS NIH HHS P41 GM111135NIGMS NIH HHS R01 GM109046
6 · The paper itself

Abstract

The metabolome, the collection of small molecules associated with an organism, is a growing subject of inquiry, with the data utilized for data-intensive systems biology, disease diagnostics, biomarker discovery, and the broader characterization of small molecules in mixtures. Owing to their close proximity to the functional endpoints that govern an organism's phenotype, metabolites are highly informative about functional states. The field of metabolomics identifies and quantifies endogenous and exogenous metabolites in biological samples. Information acquired from nuclear magnetic spectroscopy (NMR), mass spectrometry (MS), and the published literature, as processed by statistical approaches, are driving increasingly wider applications of metabolomics. This review focuses on the role of databases and software tools in advancing the rigor, robustness, reproducibility, and validation of metabolomics studies.

Indexed as

Databases, FactualMetabolomeSoftwareAnimalsHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMetabolomicsSystems Biology

Identifiers

PMID27643760
PMCPMC5305618

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.