Evidence map›Paper›PMID 30830368›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

TarMet: a reactive GUI tool for efficient and confident quantification of MS based targeted metabolic and stable isotope tracer analysis.

Hongchao Ji, Zhimin Zhang, Hongmei Lu

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Hongchao JiCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, People's Republic of China.
Zhimin ZhangCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, People's Republic of China. zmzhang@csu.edu.cn.
Hongmei LuCollege of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, People's Republic of China. hongmeilu@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUntargeted and targeted analyses are two classes of metabolic study. Both strategies have been advanced by high resolution mass spectrometers coupled with chromatography, which have the advantages of high mass sensitivity and accuracy. State-of-art methods for mass spectrometric data sets do not always quantify metabolites of interest in a targeted assay efficiently and accurately.

objectivesTarMet can quantify targeted metabolites as well as their isotopologues through a reactive and user-friendly graphical user interface.

methodsTarMet accepts vendor-neutral data files (NetCDF, mzXML and mzML) as inputs. Then it extracts ion chromatograms, detects peak position and bounds and confirms the metabolites via the isotope patterns. It can integrate peak areas for all isotopologues automatically.

resultsTarMet detects more isotopologues and quantify them better than state-of-art methods, and it can process isotope tracer assay well.

conclusionTarMet is a better tool for targeted metabolic and stable isotope tracer analyses.

Indexed as

Gas Chromatography-Mass SpectrometryHumansIsotope LabelingIsotopesMass SpectrometryMetabolomicsSoftwareUser-Computer InterfaceIsotopesLC–MSStable isotope tracer analysisTargeted metabolic analysis

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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.