Evidence map›Paper›PMID 28318242›Full record

ArticleAnalytical chemistry2017

Whole Blood Metabolomics by

G A Nagana Gowda, Daniel Raftery

Abstract read
In one paragraph

Article in Analytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Trial
  2. Review
  3. NADNature metabolism · 2025
    Review
  4. Article
  5. Review
  6. Review
  7. Regulation of and challenges in targeting NADNature reviews. Molecular cell biology · 2024
    Review
  8. Article
  9. Review
  10. Article
  11. Modeling blood metabolite homeostatic levels reduces sample heterogeneity across cohorts.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Multiplatform untargeted metabolomics.Magnetic resonance in chemistry : MRC · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Quantitative NMR Methods in Metabolomics.Handbook of experimental pharmacology · 2023
    Article
  19. A new limit for blood metabolite analysis usingJournal of magnetic resonance open · 2022
    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

2 authors.

Daniel RafteryFred Hutchinson Cancer Research Center , Seattle, Washington 98109, United States.

Funding

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

Abstract

Conventional human blood metabolomics employs serum or plasma and provides a wealth of metabolic information therein. However, this approach lacks the ability to measure and evaluate important metabolites such as coenzymes and antioxidants that are present at high concentrations in red blood cells. As an important alternative to serum/plasma metabolomics, we show here that a simple

Indexed as

MetabolomicsProton Magnetic Resonance SpectroscopyAdenosine DiphosphateAdenosine MonophosphateAdenosine TriphosphateAntioxidantsAspartic AcidCoenzymesDatabases, ChemicalGlutathioneHumansHydrogen-Ion ConcentrationNADNADPOxidation-ReductionAdenosine DiphosphateAdenosine MonophosphateAdenosine TriphosphateAntioxidantsAspartic AcidCoenzymesGlutathioneNADNADP

Identifiers

PMID28318242
PMCPMC6245939

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.