ReviewToxicology research2020
Toxicity testing is evolving!
Review in Toxicology research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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.
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.
Who cites it
28 citing papers in PubMed, 86 citations in OpenAlex.
- Synergistic effects of nicotine and hyperlipidemia induce cardiac damage via dynamic cardiomyocyte-based biosensing.Microsystems & nanoengineering · 2026Article
- A Miniaturized Two-Electrode Detection System for Convenient and Rapid Ferricyanide-Mediated Chemical Toxicity Screening.Analytical chemistry · 2026Article
- Machine learning driven LDFrontiers in oncology · 2026Article
- Quantitative in vitro-to-in vivo extrapolation of human adrenergic and trace amine-associated receptor 1 potencies of pre-workout supplement ingredients using physiologically based kinetic modelling-based reverse dosimetry.Archives of toxicology · 2025Article
- Article
- Green-Synthesized Nanomaterials for Aflatoxin Mitigation: A Review.Nanotechnology, science and applications · 2025Review
- Towards characterization of cell culture conditions for reliable proteomic analysis: in vitro studies on A549, differentiated THP-1, and NR8383 cell lines.Archives of toxicology · 2024Article
- Molecular similarity in chemical informatics and predictive toxicity modeling: from quantitative read-across (q-RA) to quantitative read-across structure-activity relationship (q-RASAR) with the application of machine learning.Critical reviews in toxicology · 2024Review
- Differentially Induced Autophagy by Engineered Nanomaterial Treatment Has an Impact on Cellular Homeostasis and Cytotoxicity.Nano letters · 2024Article
- Review
- Article
- In vitro to in vivo extrapolation from 3D hiPSC-derived cardiac microtissues and physiologically based pharmacokinetic modeling to inform next-generation arrhythmia risk assessment.Toxicological sciences : an official journal of the Society of Toxicology · 2024Article
- Review
- Effect of the Aqueous Extract ofCurrent issues in molecular biology · 2023Article
- New approach methodologies in human regulatory toxicology - Not if, but how and when!Environment international · 2023Review
- Capturing time-dependent activation of genes and stress-response pathways using transcriptomics in iPSC-derived renal proximal tubule cells.Cell biology and toxicology · 2023Article
- Toxic External Exposure Leading to Ocular Surface Injury.Vision (Basel, Switzerland) · 2023Review
- Beyond pharmaceuticals: Fit-for-purpose new approach methodologies for environmental cardiotoxicity testing.ALTEX · 2023Review
- Interpol review of forensic management, 2019-2022.Forensic science international. Synergy · 2023Review
- Integrating distribution kinetics and toxicodynamics to assess repeat dose neurotoxicityFrontiers in pharmacology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The efficient management of the continuously increasing number of chemical substances used in today's society is assuming greater importance than ever before. Toxicity testing plays a key role in the regulatory decisions of agencies and governments that aim to protect the public and the environment from the potentially harmful or adverse effects of these multitudinous chemicals. Therefore, there is a critical need for reliable toxicity-testing methods to identify, assess and interpret the hazardous properties of any substance. Traditionally, toxicity-testing approaches have been based on studies in experimental animals. However, in the last 20 years, there has been increasing concern regarding the sustainability of these methodologies. This has created a real need for the development of new approach methodologies (NAMs) that satisfy the regulatory requirements and are acceptable and affordable to society. Numerous initiatives have been launched worldwide in attempts to address this critical need. However, although the science to support this is now available, the legislation and the pace of NAMs acceptance is lagging behind. This review will consider some of the various initiatives in Europe to identify NAMs to replace or refine the current toxicity-testing methods for pharmaceuticals. This paper also presents a novel systematic approach to support the desired toxicity-testing methodologies that the 21st century deserves.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.