Evidence map›Paper›PMID 25374485›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2014

Distinguishing between the metabolome and xenobiotic exposome in environmental field samples analysed by direct-infusion mass spectrometry based metabolomics and lipidomics.

Andrew D Southam, Anke Lange, Raghad Al-Salhi, Elizabeth M Hill, Charles R Tyler, Mark R Viant

Open access · hybridAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

11 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. A review of the pharmaceutical exposome in aquatic fauna.Environmental pollution (Barking, Essex : 1987) · 2018
    Review
  8. Biomonitoring in the Era of the Exposome.Environmental health perspectives · 2017
    Article
  9. Article
  10. Article
  11. 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

6 authors at 3 institutions in 1 country.

Andrew D SouthamSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK.
Anke LangeBiosciences, College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QD UK.
Raghad Al-SalhiSchool of Life Sciences, University of Sussex, Falmer, Brighton, BN1 9QG UK.
Elizabeth M HillSchool of Life Sciences, University of Sussex, Falmer, Brighton, BN1 9QG UK.
Charles R TylerBiosciences, College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QD UK.
Mark R ViantSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK.
University of Birmingham · GBUniversity of Exeter · GBUniversity of Sussex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental metabolomics is increasingly used to investigate organismal responses to complex chemical mixtures, including waste water effluent (WWE). In parallel, increasingly sensitive analytical methods are being used in metabolomics studies, particularly mass spectrometry. This introduces a considerable, yet overlooked, challenge that high analytical sensitivity will not only improve the detection of endogenous metabolites in biological specimens but also exogenous chemicals. If these often unknown xenobiotic features are not removed from the "biological" dataset, they will bias the interpretation and could lead to incorrect conclusions about the biotic response. Here we illustrate and validate a novel workflow classifying the origin of peaks detected in biological samples as: endogenous, xenobiotics, or metabolised xenobiotics. The workflow is demonstrated using direct infusion mass spectrometry-based metabolomic analysis of testes from roach exposed to different concentrations of a complex WWE. We show that xenobiotics and their metabolic products can be detected in roach testes (including triclosan, chloroxylenol and chlorophene), and that these compounds have a disproportionately high level of statistical significance within the total (bio)chemical changes induced by the WWE. Overall we have demonstrated that this workflow extracts more information from an environmental metabolomics study of complex mixture exposures than was possible previously.

Indexed as

EndometabolomeExposomeLipidomeRutilus rutilusXenometabolome

Identifiers

PMID25374485
PMCPMC4213387
OpenAlexW2006927093

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.