Evidence map›Paper›PMID 37756488›Full record

ArticleAnalytical chemistry2023

Labile Metabolite Profiling in Human Blood Using Phosphorus NMR Spectroscopy.

G A Nagana Gowda, Vadim Pascua, Camerin E Killion, Rajan K Paranji, Daniel Raftery

Abstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. NMR-based metabolomics: Where are we now and where are we going?Progress in nuclear magnetic resonance spectroscopy
    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

5 authors.

Camerin E Killion
Rajan K ParanjiDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.
Daniel RafteryFred Hutchinson Cancer Center, Seattle, Washington 98109, United States.ORCID 0000-0003-2467-8118

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
PILOT STUDY--CLINICAL NUTRITION RESEARCHP30DK035816 · NIDDK · UNIVERSITY OF WASHINGTON · PI GREGORY J MORTON · 1986 to 2026
$30.4M
UW Center for Translational Muscle Research (Overall Application)P30AR074990 · NIAMS · UNIVERSITY OF WASHINGTON · PI Jennifer Michelle Davis, DANIEL RAFTERY · 2019 to 2026
$7.5M
Quantitative Analysis of Labile Metabolites in Biological SamplesR01GM138465 · NIGMS · UNIVERSITY OF WASHINGTON · PI GOWDA, G. A. NAGANA, RAFTERY, DANIEL · 2021 to 2024
$1.5M
Bruker Avance III 600 MHz (14T) Wide Bore SpectrometerS10RR029021 · NCRR · UNIVERSITY OF WASHINGTON · PI KUSHMERICK, MARTIN J · 2010 to 2010
$1.0M
NCI NIH HHS P30 CA015704NCRR NIH HHS S10 RR029021NIAMS NIH HHS P30 AR074990NIDDK NIH HHS P30 DK035816NIGMS NIH HHS R01 GM138465
6 · The paper itself

Abstract

Phosphorus metabolites occupy a unique place in cellular function as critical intermediates and products of cellular metabolism. Human blood is the most widely used biospecimen in the clinic and in the metabolomics field, and hence an ability to profile phosphorus metabolites in blood, quantitatively, would benefit a wide variety of investigations of cellular functions in health and diseases. Mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy are the two premier analytical platforms used in the metabolomics field. However, detection and quantitation of phosphorus metabolites by MS can be challenging due to their lability, high polarity, structural isomerism, and interaction with chromatographic columns. The conventionally used

Indexed as

CarbonMetabolomicsHumansMagnetic Resonance SpectroscopyMass SpectrometryCarbon

Identifiers

PMID37756488
PMCPMC10591760

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.