ReviewRegulatory toxicology and pharmacology : RTP2022
Model systems and organisms for addressing inter- and intra-species variability in risk assessment.
Review in Regulatory toxicology and pharmacology : RTP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed.
- Assessing drug-induced liver injury liabilities in human and animal hepatocytes under static and perfused spheroid culture conditions.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Quantitative estimates of inter-individual variability for new approach methodologies-based systemic safety toolbox using a population-based human in vitro model.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Natural variation suggests candidate genes underlying Caenorhabditis elegans susceptibility to diverse toxicants.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- High-Throughput Toxicity Screening withEnvironmental science & technology · 2026Review
- Systematic Review: Exploring Inter-Species Variability in Diabetes Mellitus for Translational Medicine.Life (Basel, Switzerland) · 2025Review
- Characterizing common loss-of-function genes and their potential utility in assessing population variability and chemical susceptibility.bioRxiv : the preprint server for biology · 2025Article
- Natural variation suggests candidate genes underlyingbioRxiv : the preprint server for biology · 2025Article
- Strain and sex effects on blood accumulation of lead, chromium, and cadmium in strains from the Collaborative Cross mouse population.bioRxiv : the preprint server for biology · 2025Article
- An approach to uncover significant direct and mediated relationships in multi-dimensional new approach methods (NAMs) data: A case study of hazard evaluation of petroleum UVCBs.The Science of the total environment · 2025Article
- A workflow for human health hazard evaluation using transcriptomic data and Key Characteristics-based gene sets.Toxicological sciences : an official journal of the Society of Toxicology · 2025Article
- Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World.Chemical research in toxicology · 2025Review
- Structure-specific variation in per- and polyfluoroalkyl substances toxicity among genetically diverse Caenorhabditis elegans strains.Toxicological sciences : an official journal of the Society of Toxicology · 2025Article
- Reducing uncertainty in dose-response assessments by incorporating Bayesian benchmark dose modeling and in vitro data on population variability.Risk analysis : an official publication of the Society for Risk Analysis · 2025Article
- Incorporating new approach methods (NAMs) data in dose-response assessments: The future is now!Journal of toxicology and environmental health. Part B, Critical reviews · 2025Review
- Hepatocytes derived from human induced pluripotent stem cells: Towards establishing anCurrent research in toxicology · 2025Article
- Sensitivity Analysis of the Inputs for Bioactivity-Exposure Ratio Calculations in a NAM-Based Systemic Safety Toolbox.NAM journal · 2025Article
- Characterizing PFAS hazards and risks: a human population-based in vitro cardiotoxicity assessment strategy.Human genomics · 2024Article
- An in vitro-in silico workflow for predicting renal clearance of PFAS.Toxicology and applied pharmacology · 2024Article
- Gene-environment interactions within a precision environmental health framework.Cell genomics · 2024Review
- Invited Perspective: Uneven Progress Addressing Population Variability in Human Health Risk Assessment.Environmental health perspectives · 2024Article
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.
Funding
Abstract
Addressing inter- and intra-species differences in potential hazardous effects of chemicals remains a long-standing challenge in human health risk assessment that is typically addressed heuristically through use of 10-fold default "uncertainty" or "safety" factors. Although it has long been recognized that chemical-specific data would be preferable to replace the "defaults," only recently have there emerged experimental model systems and organisms with the potential to experimentally quantify the population variability in both toxicokinetics and toxicodynamics for specific chemicals. Progress is most evident in the use of population in vitro human cell-based models and population in vivo mouse models. Multiple case studies were published in the past 10-15 years that clearly demonstrate the utility of such models to derive data with direct application to quantifying variability at hazard identification, exposure-response assessment, and mechanistic understanding of toxicity steps of traditional risk assessments. Here, we review recent efforts to develop fit-for-purpose approaches utilizing these novel population-based in vitro and in vivo models in the context of risk assessment. We also describe key challenges and opportunities to broadening application of population-based experimental approaches. We conclude that population-based models are now beginning to realize their potential to address long-standing data gaps in inter- and intra-species variability.
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.