ReviewToxicology in vitro : an international journal published in association with BIBRA2018
Pathway-based predictive approaches for non-animal assessment of acute inhalation toxicity.
Review in Toxicology in vitro : an international journal published in association with BIBRA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed.
- Human in vitro airway models to assess point-of-contact respiratory toxicity of surfactants and derive human equivalent concentrations after single dose exposure.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- The two sides of 2D materials properties: a perspective on balancing air quality applications with environmental and health risks of 2D materials.Environmental science. Advances · 2026Review
- Alignment of in vitro and in vivo pulmonary inflammation models using crystalline quartz silica.Particle and fibre toxicology · 2026Article
- Establishing scientific confidence: human biological relevance of reconstructed human respiratory epithelium (RHRE) for assessing respiratory effects.Frontiers in toxicology · 2026Review
- Mapping the ethical and sustainable transition in toxicology: a bibliometric analysis and a review of new approach methodologies.Archives of toxicology · 2026Review
- Two- and Three-Dimensional Culture Systems: Respiratory In Vitro Tissue Models for Chemical Screening and Risk-Based Decision Making.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Evaluation of a non-animal toolbox informed by adverse outcome pathways for human inhalation safety.Frontiers in toxicology · 2025Article
- New approach methodologies (NAMs) for theFrontiers in toxicology · 2024Review
- Human cell-based in vitro systems to assess respiratory toxicity: a case study using silanes.Toxicological sciences : an official journal of the Society of Toxicology · 2023Article
- International regulatory uses of acute systemic toxicity data and integration of new approach methodologies.Critical reviews in toxicology · 2023Review
- Liquid application dosing alters the physiology of air-liquid interface (ALI) primary human bronchial epithelial cell/lung fibroblast co-cultures andFrontiers in toxicology · 2023Article
- Article
- In vitro airway models from mice, rhesus macaques, and humans maintain species differences in xenobiotic metabolism and cellular responses to naphthalene.American journal of physiology. Lung cellular and molecular physiology · 2022Article
- Natural language processing in toxicology: Delineating adverse outcome pathways and guiding the application of new approach methodologies.Biomaterials and biosystems · 2022Article
- IVIVE: Facilitating the Use ofToxics · 2022Review
- Mapping Mechanistic Pathways of Acute Oral Systemic Toxicity Using Chemical Structure and Bioactivity Measurements.Frontiers in toxicology · 2022Article
- Ozone Responsive Gene Expression as a Model for Describing Repeat Exposure Response Trajectories and Interindividual Toxicodynamic Variability In Vitro.Toxicological sciences : an official journal of the Society of Toxicology · 2021Article
- Article
- Emerging Technologies for In Vitro Inhalation Toxicology.Advanced healthcare materials · 2021Review
- Integration of transcriptome analysis with pathophysiological endpoints to evaluate cigarette smoke toxicity in an in vitro human airway tissue model.Archives of toxicology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
35 authors.
Funding
Abstract
New approaches are needed to assess the effects of inhaled substances on human health. These approaches will be based on mechanisms of toxicity, an understanding of dosimetry, and the use of in silico modeling and in vitro test methods. In order to accelerate wider implementation of such approaches, development of adverse outcome pathways (AOPs) can help identify and address gaps in our understanding of relevant parameters for model input and mechanisms, and optimize non-animal approaches that can be used to investigate key events of toxicity. This paper describes the AOPs and the toolbox of in vitro and in silico models that can be used to assess the key events leading to toxicity following inhalation exposure. Because the optimal testing strategy will vary depending on the substance of interest, here we present a decision tree approach to identify an appropriate non-animal integrated testing strategy that incorporates consideration of a substance's physicochemical properties, relevant mechanisms of toxicity, and available in silico models and in vitro test methods. This decision tree can facilitate standardization of the testing approaches. Case study examples are presented to provide a basis for proof-of-concept testing to illustrate the utility of non-animal approaches to inform hazard identification and risk assessment of humans exposed to inhaled substances.
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.