Evidence map›Paper›PMID 28195377›Full record

ArticleRapid communications in mass spectrometry : RCM2017

A three-minute method for high-throughput quantitative metabolomics and quantitative tracing experiments of central carbon and nitrogen pathways.

Travis Nemkov, Kirk C Hansen, Angelo D'Alessandro

Abstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers.

0numbers the graph read from it
0cells of the map it votes in
192citing 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

192 citing papers in PubMed.

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  12. Excess glutamine rewires endothelial cell metabolism.Metabolomics : Official journal of the Metabolomic Society · 2026
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132 more citing papers are in PubMed but not listed here.

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

3 authors.

Travis NemkovDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver - Anschutz Medical Campus, 12801 East 17th Ave, Aurora, CO, 80045, USA.
Kirk C HansenDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver - Anschutz Medical Campus, 12801 East 17th Ave, Aurora, CO, 80045, USA.
Angelo D'AlessandroDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver - Anschutz Medical Campus, 12801 East 17th Ave, Aurora, CO, 80045, USA.ORCID http://orcid.org/0000-0002-2258-6490

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
Trauma Reprograms CellsP50GM049222 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI BANERJEE, ANIRBAN · 1993 to 2017
$26.1M
Mechanisms of Trauma-Induced CoagulopathyT32GM008315 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI Mitchell Cohen, ELIZABETH J. KOVACS · 1991 to 2026
$7.1M
NCI NIH HHS P30 CA046934NIGMS NIH HHS P50 GM049222NIGMS NIH HHS T32 GM008315
6 · The paper itself

Abstract

rationaleThe implementation of mass spectrometry (MS)-based metabolomics is advancing many areas of biomedical research. The time associated with traditional chromatographic methods for resolving metabolites prior to mass analysis has limited the potential to perform large-scale, highly powered metabolomics studies and clinical applications.

methodsHere we describe a three-minute method for the rapid profiling of central metabolic pathways through UHPLC/MS, tracing experiments in vitro and in vivo, and targeted quantification of compounds of interest using spiked in heavy labeled standards.

resultsThis method has shown to be linear, reproducible, selective, sensitive, and robust for the semi-targeted analysis of central carbon and nitrogen metabolism. Isotopically labeled internal standards are used for absolute quantitation of steady-state metabolite levels and de novo synthesized metabolites in tracing studies. We further propose exploratory applications to biofluids, cell and tissue extracts derived from relevant biomedical/clinical samples.

conclusionsWhile limited to the analysis of central carbon and nitrogen metabolism, this method enables the analysis of hundreds of samples per day derived from diverse biological matrices. This approach makes it possible to analyze samples from large patient populations for translational research, personalized medicine, and clinical metabolomics applications. Copyright © 2017 John Wiley & Sons, Ltd.

Indexed as

AnimalsBiomarkersBody FluidsBronchoalveolar Lavage FluidCarbonChromatography, High Pressure LiquidHigh-Throughput Screening AssaysHumansLimit of DetectionLinear ModelsMass SpectrometryMetabolomicsNitrogenRatsRats, Sprague-DawleyReproducibility of ResultsBiomarkersCarbonNitrogen

Identifiers

PMID28195377
PMCPMC5364945

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Registered trials

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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.