Evidence map›Paper›PMID 31400414›Full record

ArticleToxicology and applied pharmacology2019

The use of evidence from high-throughput screening and transcriptomic data in human health risk assessments.

Roman Mezencev, Ravi Subramaniam

Abstract read
In one paragraph

Article in Toxicology and applied pharmacology, 2019. 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
–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

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.

  1. Analytical choices drive toxicogenomic potency estimates: a systematic evaluation of transcriptomic points of departure.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. From vision toward best practices: EvaluatingFrontiers in toxicology · 2023
    Article
  6. Article
  7. Review
  8. Gene Expression Thresholds Derived From Short-term Exposures Identify Rat Liver Tumorigens.Toxicological sciences : an official journal of the Society of Toxicology · 2020
    Article
  9. A Rat Liver Transcriptomic Point of Departure Predicts a Prospective Liver or Non-liver Apical Point of Departure.Toxicological sciences : an official journal of the Society of Toxicology · 2020
    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

2 authors.

Roman MezencevIntegrated Risk Information System (IRIS), National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Washington DC, United States of America. Electronic address: Mezencev.Roman@epa.gov.
Ravi SubramaniamIntegrated Risk Information System (IRIS), National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Washington DC, United States of America.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

High throughput screening (HTS) and functional genomics (toxicogenomics) have opened new avenues in toxicity testing. Their advantages include the potential for developing short-term in vivo bioassays and in vitro assays in order to keep pace with the growing backlog of chemicals that need to be evaluated for potential human health risk. In addition, these approaches have the potential to address some of the difficulties that arise with interpreting traditional rodent bioassays, such as the relevance of apical outcomes induced by chemical exposure in animals to humans. The wealth of information associated with the HTS and toxicogenomic data can inform human health risk assessment primarily through (i) insight into potential mechanism of action, (ii) prediction of adverse outcomes of chemical exposures, and (iii) dose-response assessment for derivation of toxicity values. In this article we outline current and expected future progress in these three directions and argue for increased role of HTS and toxicogenomic data in chemical risk assessment. We conclude that these approaches can help fulfill the NRC vision for toxicity testing in the 21st century and we discuss specific examples of chemicals whose health assessments can potentially benefit from available HTS or toxicogenomic data.

Indexed as

High-Throughput Screening AssaysAnimalsCarcinogensHumansRisk AssessmentToxicogeneticsTranscriptomeCarcinogensBenchmark doseCarcinogenCarcinogenicityGenotoxicityHigh throughput screeningHTSMode of actionRisk assessmentToxCast™Toxicogenomics

Identifiers

PMID31400414
PMCPMC9624462

What OpenQuestion holds

Textmetadata
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.