Evidence map›Paper›PMID 38392990›Full record

ReviewMetabolites2024

Metabolomics in Preclinical Drug Safety Assessment: Current Status and Future Trends.

Fenna Sillé, Thomas Hartung

Open access · goldAbstract readReview
In one paragraph

Review in Metabolites, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.6field-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, 24 citations in OpenAlex.

  1. Trial
  2. Review
  3. Antioxidant Activity of EthanolicMolecules (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Drug response in the era of precision medicine: A methodological review.Computational and structural biotechnology journal · 2025
    Review
  15. Review
  16. 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

2 authors at 1 institution in 2 countries.

Fenna SilléCenter for Alternatives to Animal Testing (CAAT), Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.
Thomas HartungCenter for Alternatives to Animal Testing (CAAT), Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.ORCID 0000-0003-1359-7689
Johns Hopkins University · US

Funding

Pilot Project ProgramP30ES032756 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI Marsha Wills-Karp · 2022 to 2026
$6.0M
Neurotoxicity due to Environmental complex Metal Mixtures ExposureRF1NS130672 · NINDS · JOHNS HOPKINS UNIVERSITY · PI BISWAL, SHYAM, HARTUNG, THOMAS · 2022 to 2022
$2.4M
NIEHS NIH HHS P30 ES032756NINDS NIH HHS RF1 NS130672
6 · The paper itself

Abstract

Metabolomics is emerging as a powerful systems biology approach for improving preclinical drug safety assessment. This review discusses current applications and future trends of metabolomics in toxicology and drug development. Metabolomics can elucidate adverse outcome pathways by detecting endogenous biochemical alterations underlying toxicity mechanisms. Furthermore, metabolomics enables better characterization of human environmental exposures and their influence on disease pathogenesis. Metabolomics approaches are being increasingly incorporated into toxicology studies and safety pharmacology evaluations to gain mechanistic insights and identify early biomarkers of toxicity. However, realizing the full potential of metabolomics in regulatory decision making requires a robust demonstration of reliability through quality assurance practices, reference materials, and interlaboratory studies. Overall, metabolomics shows great promise in strengthening the mechanistic understanding of toxicity, enhancing routine safety screening, and transforming exposure and risk assessment paradigms. Integration of metabolomics with computational, in vitro, and personalized medicine innovations will shape future applications in predictive toxicology.

Indexed as

adverse outcome pathwaysdrug developmentmetabolomicssafetytoxicity

Identifiers

PMID38392990
PMCPMC10890122
OpenAlexW4391404697

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.