Evidence map›Paper›PMID 30041468›Full record

ArticleMetabolites2018

Metabolomics Discovers Early-Response Metabolic Biomarkers that Can Predict Chronic Reproductive Fitness in Individual

Nadine S Taylor, Alex Gavin, Mark R Viant

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Knowledge-Driven Approaches to Create the MTox700+ Metabolite Panel for Predicting Toxicity.Toxicological sciences : an official journal of the Society of Toxicology · 2022
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Molecular Responses of Daphnids to Chronic Exposures to Pharmaceuticals.International journal of molecular sciences · 2023
    Article
  6. Review
  7. Environmental science & technology · 2022
    Review
  8. Article
  9. Article
  10. Integrating in vitro metabolomics with a 96-well high-throughput screening platform.Metabolomics : Official journal of the Metabolomic Society · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. 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

3 authors at 1 institution in 1 country.

Nadine S TaylorSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK. nadine.taylor@cea-res.co.uk.
Alex GavinSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK. ajsgavin@gmail.com.
Mark R ViantSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK. m.viant@bham.ac.uk.ORCID 0000-0001-5898-4119
University of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical risk assessment remains entrenched in chronic toxicity tests that set safety thresholds based on animal pathology or fitness. Chronic tests are resource expensive and lack mechanistic insight. Discovering a chemical's mode-of-action can in principle provide predictive molecular biomarkers for a toxicity endpoint. Furthermore, since molecular perturbations precede pathology, early-response molecular biomarkers may enable shorter, more resource efficient testing that can predict chronic animal fitness. This study applied untargeted metabolomics to attempt to discover early-response metabolic biomarkers that can predict reproductive fitness of

Indexed as

adverse outcomeAOPDIMSdirect infusion mass spectrometrykey eventMoAOECD test guidelineomicsPLS regressiontoxicogenomics

Identifiers

PMID30041468
PMCPMC6160912
OpenAlexW2884686811

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.