Evidence map›Paper›PMID 26087125›Full record

ArticleAnalytical chemistry2015

Use of Charged Nanoparticles in NMR-Based Metabolomics for Spectral Simplification and Improved Metabolite Identification.

Bo Zhang, Mouzhe Xie, Lei Bruschweiler-Li, Kerem Bingol, Rafael Brüschweiler

Abstract read
In one paragraph

Article in Analytical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Recent Advances in NMR-Based Metabolomics.Analytical chemistry · 2017
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. 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

5 authors.

Bo Zhang†Department of Chemistry and Biochemistry, ‡Campus Chemical Instrument Center, The Ohio State University, Columbus, Ohio 43210, United States.
Mouzhe Xie†Department of Chemistry and Biochemistry, ‡Campus Chemical Instrument Center, The Ohio State University, Columbus, Ohio 43210, United States.
Lei Bruschweiler-Li†Department of Chemistry and Biochemistry, ‡Campus Chemical Instrument Center, The Ohio State University, Columbus, Ohio 43210, United States.
Kerem Bingol†Department of Chemistry and Biochemistry, ‡Campus Chemical Instrument Center, The Ohio State University, Columbus, Ohio 43210, United States.
Rafael Brüschweiler†Department of Chemistry and Biochemistry, ‡Campus Chemical Instrument Center, The Ohio State University, Columbus, Ohio 43210, United States.

Funding

Southeast Resource Center for Integrated Metabolomics (SECIM)U24DK097209 · NIDDK · UNIVERSITY OF FLORIDA · PI EDISON, ARTHUR S, YOST, RICHARD A. · 2013 to 2017
$9.2M
New hybrid methods for the improved and integrated analysis of complex metabolomics mixturesR01GM066041 · NIGMS · OHIO STATE UNIVERSITY · PI BRUSCHWEILER, RAFAEL · 2002 to 2019
$3.3M
NIDDK NIH HHS U24 DK097209NIDDK NIH HHS U24 DK097209-01A1NIGMS NIH HHS R01 GM 066041NIGMS NIH HHS R01 GM066041
6 · The paper itself

Abstract

Metabolomics aims at a complete characterization of all metabolites in biological samples in terms of both their identities and concentrations. Because changes of metabolites and their concentrations are a direct reflection of cellular activity, it allows for a better understanding of cellular processes and function to be obtained. Although NMR spectroscopy is routinely applied to complex biological mixtures without purification, overlapping NMR peaks often pose a challenge for the comprehensive and accurate identification of the underlying metabolites. To address this problem, we present a novel nanoparticle-based strategy that differentiates between metabolites based on their electric charge. By adding electrically charged silica nanoparticles to the solution NMR sample, metabolites of opposite charge bind to the nanoparticles and their NMR signals are weakened or entirely suppressed due to peak broadening caused by the slow rotational tumbling of the nanometer-sized nanoparticles. Comparison of the edited with the original spectrum significantly facilitates analysis and reduces ambiguities in the identification of metabolites. This method makes NMR directly sensitive to the detection of molecular charges at constant pH, as demonstrated here both for model mixtures and human urine. The simplicity of the approach should make it useful for a wide range of metabolomics applications.

Indexed as

Amino AcidsHealthy VolunteersHumansMagnetic Resonance SpectroscopyMetabolomicsNanoparticlesParticle SizeSilicon DioxideSurface PropertiesUrinalysisUrineAmino AcidsSilicon Dioxide

Identifiers

PMID26087125
PMCPMC5358793

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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.