Evidence map›Paper›PMID 20879716›Full record

ArticleAnalytical chemistry2010

Quantitative analysis of blood plasma metabolites using isotope enhanced NMR methods.

G A Nagana Gowda, Fariba Tayyari, Tao Ye, Yuliana Suryani, Siwei Wei, Narasimhamurthy Shanaiah, Daniel Raftery

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 54 citations in OpenAlex.

  1. Trial
  2. Multiplatform untargeted metabolomics.Magnetic resonance in chemistry : MRC · 2023
    Review
  3. Practical Aspects of NMR-Based Metabolomics.Handbook of experimental pharmacology · 2023
    Article
  4. Rapid quantitativeRSC advances · 2022
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Applications of NMR spectroscopy to systems biochemistry.Progress in nuclear magnetic resonance spectroscopy · 2016
    Review
  10. Can NMR solve some significant challenges in metabolomics?Journal of magnetic resonance (San Diego, Calif. : 1997) · 2015
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Isotope enhanced approaches in metabolomics.Advances in experimental medicine and biology · 2012
    Review
  19. Article
  20. 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

7 authors at 1 institution in 1 country.

G A Nagana GowdaDepartment of Chemistry, Purdue University, West Lafayette, Indiana 47907, and MatrixBio, Inc., 1281 Win Hentschel Blvd., West Lafayette Indiana 47906.
Fariba Tayyari
Tao Ye
Yuliana Suryani
Siwei Wei
Narasimhamurthy Shanaiah
Daniel Raftery
Purdue University West Lafayette · US

Funding

Advanced Methods in NMR-Based MetabolomicsR01GM085291 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAFTERY, DANIEL · 2008 to 2016
$2.7M
NIGMS NIH HHS 1 R01GM085291-01NIGMS NIH HHS 3R01GM085291-02S1NIGMS NIH HHS R01 GM085291
6 · The paper itself

Abstract

NMR spectroscopy is a powerful analytical tool for both qualitative and quantitative analysis. However, accurate quantitative analysis in complex fluids such as human blood plasma is challenging, and analysis using one-dimensional NMR is limited by signal overlap. It is impractical to use heteronuclear experiments involving natural abundance (13)C on a routine basis due to low sensitivity, despite their improved resolution. Focusing on circumventing such bottlenecks, this study demonstrates the utility of a combination of isotope enhanced NMR experiments to analyze metabolites in human blood plasma. (1)H-(15)N HSQC and (1)H-(13)C HSQC experiments on the isotope tagged samples combined with the conventional (1)H one-dimensional and (1)H-(1)H TOCSY experiments provide quantitative information on a large number of metabolites in plasma. The methods were first tested on a mixture of 28 synthetic analogues of metabolites commonly present in human blood; 27 metabolites in a standard NIST (National Institute of Standards and Technology) human blood plasma were then identified and quantified with an average coefficient of variation of 2.4% for 17 metabolites and 5.6% when all the metabolites were considered. Carboxylic acids and amines represent a majority of the metabolites in body fluids, and their analysis by isotope tagging enables a significant enhancement of the metabolic pool for biomarker discovery applications. Improved sensitivity and resolution of NMR experiments imparted by (15)N and (13)C isotope tagging are attractive for both the enhancement of the detectable metabolic pool and accurate analysis of plasma metabolites. The approach can be easily extended to many additional metabolites in almost any biological mixture.

Indexed as

AminesCarboxylic AcidsHumansIsotope LabelingMagnetic Resonance SpectroscopyMetabolomicsPlasmaAminesCarboxylic Acids

Identifiers

PMID20879716
PMCPMC3065653
OpenAlexW1997028373

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.