Evidence map›Paper›PMID 30303385›Full record

ArticleJournal of proteome research2018

Combining Mass Spectrometry and NMR Improves Metabolite Detection and Annotation.

Fatema Bhinderwala, Nishikant Wase, Concetta DiRusso, Robert Powers

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% of its field
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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. New Personalized Medicine Model for Medication Management.Journal of personalized medicine · 2026
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Microbial Omics.Progress in molecular and subcellular biology · 2026
    Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. A Reproducibility Crisis for Clinical Metabolomics Studies.Trends in analytical chemistry : TRAC · 2024
    Article
  17. Article
  18. Review
  19. Article
  20. Review
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

4 authors at 1 institution in 1 country.

Fatema BhinderwalaDepartment of Chemistry , University of Nebraska , Lincoln , Nebraska 68588-0304 , United States.
Nishikant WaseDepartment of Biochemistry , University of Nebraska , Lincoln , Nebraska 68588-0664 , United States.
Concetta DiRussoDepartment of Biochemistry , University of Nebraska , Lincoln , Nebraska 68588-0664 , United States.
Robert PowersDepartment of Chemistry , University of Nebraska , Lincoln , Nebraska 68588-0304 , United States.ORCID 0000-0001-9948-6837
University of Nebraska–Lincoln · US

Funding

Targeted mass spectrometry approaches to understand CART processing and recepter interactionsP20GM113126 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI POWERS, ROBERT · 2016 to 2025
$20.8M
Redox Biology CenterP30GM103335 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI BECKER, DONALD F · 2012 to 2016
$4.3M
EXTRAMURAL RESEARCH FACILITIES CONSTRUCTIONC06RR015468 · NCRR · UNIVERSITY OF NEBRASKA LINCOLN · PI PAUL, PREM S · 2000 to 2000
$2.0M
NCRR NIH HHS C06 RR015468NIGMS NIH HHS P20 GM113126NIGMS NIH HHS P30 GM103335
6 · The paper itself

Abstract

Despite inherent complementarity, nuclear magnetic resonance spectroscopy (NMR) and mass spectrometry (MS) are routinely separately employed to characterize metabolomics samples. More troubling is the erroneous view that metabolomics is better served by exclusively utilizing MS. Instead, we demonstrate the importance of combining NMR and MS for metabolomics by using small chemical compound treatments of Chlamydomonas reinhardtii as an illustrative example. A total of 102 metabolites were detected (82 by gas chromatography-MS, 20 by NMR, and 22 by both techniques). Out of these, 47 metabolites of interest were identified: 14 metabolites were uniquely identified by NMR, and 16 metabolites were uniquely identified by GC-MS. A total of 17 metabolites were identified by both NMR and GC-MS. In general, metabolites identified by both techniques exhibited similar changes upon compound treatment. In effect, NMR identified key metabolites that were missed by MS and enhanced the overall coverage of the oxidative pentose phosphate pathway, Calvin cycle, tricarboxylic acid cycle, and amino acid biosynthetic pathways that informed on pathway activity in central carbon metabolism, leading to fatty-acid and complex-lipid synthesis. Our study emphasizes a prime advantage of combining multiple analytical techniques: the improved detection and annotation of metabolites.

Indexed as

Chlamydomonas reinhardtiiComplex MixturesGas Chromatography-Mass SpectrometryMagnetic Resonance SpectroscopyMetabolic Networks and PathwaysMetabolomePrincipal Component AnalysisComplex Mixtures

Identifiers

PMID30303385
PMCPMC6668615
OpenAlexW2897130988

What OpenQuestion holds

Textmetadata
LicenceTDM
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.