Evidence map›Paper›PMID 20828141›Full record

ArticleAnalytical chemistry2010

Does the mass spectrometer define the marker? A comparison of global metabolite profiling data generated simultaneously via UPLC-MS on two different mass spectrometers.

Helen G Gika, Georgios A Theodoridis, Mark Earll, Rodney W Snyder, Susan J Sumner, Ian D Wilson

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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 60 citations in OpenAlex.

  1. What's in a name? Metabolite identification: challenges and pitfalls in untargeted metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2026
    Review
  2. Article
  3. Article
  4. Quality Control and Validation Issues in LC-MS-Based Metabolomics.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Untargeted Analysis ofMetabolites · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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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

6 authors at 1 institution in 1 country.

Helen G GikaDepartment of Chemistry, Aristotle University Thessaloniki, 541 24 Thessaloniki, Greece.
Georgios A Theodoridis
Mark Earll
Rodney W Snyder
Susan J Sumner
Ian D Wilson
AstraZeneca (United Kingdom) · GB

Funding

Metabolomics: Markers of Drug-Induced Liver Injury(RMI)R21GM075903 · NIGMS · RESEARCH TRIANGLE INSTITUTE · PI SUMNER, SUSAN J · 2005 to 2008
$1.7M
NIGMS NIH HHS 5R21GM75903NIGMS NIH HHS R21 GM075903
6 · The paper itself

Abstract

By coupling a single UPLC separation to two different types of mass spectrometer an unbiased comparison of the metabolite profiles produced by each instrument for a set of rat urine samples was obtained. The flow from the UPLC column was split equally and both streams of eluent were simultaneously directed to the inlets of the two mass spectrometers. Mass spectrometry on the eluent was undertaken using a triple quadrupole linear ion trap and a hybrid quadrupole time-of-flight mass spectrometer using both positive and negative ESI. Data from both mass spectrometers were subjected to multivariate statistical analysis, after applying the same data extraction software, and showed the same general pattern of correlation between the samples using both unsupervised and supervised methods of statistical analysis. Based on orthogonal partial least-squares discriminant analysis models a number of ions were recognized as "responsible" for the separation of the animal groups. From the peaks detected, and denoted as significant by the statistical analysis a number of ions were found to be unique to one data set or the other, a result which may have consequences for biomarker discovery and interlaboratory comparisons. The software package used for data analysis also had an effect on the outcome of the statistical analysis.

Indexed as

MetabolomeAnimalsBiomarkersChromatography, High Pressure LiquidIsoniazidModels, StatisticalPrincipal Component AnalysisRatsSpectrometry, Mass, Electrospray IonizationBiomarkersIsoniazid

Identifiers

PMID20828141
PMCPMC2951889
OpenAlexW1980053022

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.