ReviewArchives of toxicology2022
Implementing organ-on-chip in a next-generation risk assessment of chemicals: a review.
Review in Archives of toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 58 citations in OpenAlex.
- Chemical Distribution Kinetics of Five Polycyclic Aromatic Hydrocarbons in a Microphysiological System.Toxics · 2026Article
- Recent advances and expanding applications of organoid models in unveiling drug ADME profiles.Journal of pharmaceutical analysis · 2026Review
- Engineering skin microphysiological systems for transdermal drug screening based on strategic model selection and quantitative prediction roadmaps.Materials today. Bio · 2026Review
- Organs-on-Chips in Drug Development: Engineering Foundations, Artificial Intelligence, and Clinical Translation.Biosensors · 2026Review
- Cell-embedded microgels as emerging miniature 3D tissue-mimics toward biochip-based toxicity screening.Bioengineering & translational medicine · 2026Review
- Exploring the potential of liver microphysiological systems of varied configurations to model cholestatic chemical effects.Archives of toxicology · 2026Article
- Next generation validation for next generation risk assessment.Frontiers in toxicology · 2026Review
- Green Drug Discovery: Leveraging Biodiversity for Sustainable Pharmaceutical Solutions.Chemistry & biodiversity · 2026Review
- Comparative Analysis of Species-Specific Hepatocyte Function and Drug Effects in a Liver Microphysiological System PhysioMimix LC12 and 96-Well Plates.ACS pharmacology & translational science · 2025Article
- A gut-on-a-chip incorporating human faecal samples and peristalsis predicts responses to immune checkpoint inhibitors for melanoma.Nature biomedical engineering · 2025Article
- From gut to liver: organoids as platforms for next-generation toxicology assessment vehicles for xenobiotics.Stem cell research & therapy · 2025Review
- Review
- Enhancing Transcutaneous Drug Delivery: Advanced Perspectives on Skin Models.JID innovations : skin science from molecules to population health · 2025Review
- Alternatives to animal-derived extracellular matrix hydrogels? An explorative study with HepaRG cells in animal-free hydrogels under static and dynamic culture conditions.Frontiers in toxicology · 2025Article
- Tissue chips as headway model and incitement technology.Synthetic and systems biotechnology · 2025Review
- The effect of Polybrominated diphenyl ethers at the fetal blood-brain-barrier: evaluation using a microphysiological system.Frontiers in cell and developmental biology · 2025Article
- Elevated risk of adverse effects from foodborne contaminants and drugs in inflammatory bowel disease: a review.Archives of toxicology · 2024Review
- The Therapeutic Potential of Four Main Compounds ofPharmaceuticals (Basel, Switzerland) · 2024Article
- Big Question to Developing Solutions: A Decade of Progress in the Development of Aquatic New Approach Methodologies from 2012 to 2022.Environmental toxicology and chemistry · 2024Article
- Unraveling the mystery of efficacy in Chinese medicine formula: New approaches and technologies for research on pharmacodynamic substances.Arabian journal of chemistry · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Organ-on-chip (OoC) technology is full of engineering and biological challenges, but it has the potential to revolutionize the Next-Generation Risk Assessment of novel ingredients for consumer products and chemicals. A successful incorporation of OoC technology into the Next-Generation Risk Assessment toolbox depends on the robustness of the microfluidic devices and the organ tissue models used. Recent advances in standardized device manufacturing, organ tissue cultivation and growth protocols offer the ability to bridge the gaps towards the implementation of organ-on-chip technology. Next-Generation Risk Assessment is an exposure-led and hypothesis-driven tiered approach to risk assessment using detailed human exposure information and the application of appropriate new (non-animal) toxicological testing approaches. Organ-on-chip presents a promising in vitro approach by combining human cell culturing with dynamic microfluidics to improve physiological emulation. Here, we critically review commercial organ-on-chip devices, as well as recent tissue culture model studies of the skin, intestinal barrier and liver as the main metabolic organ to be used on-chip for Next-Generation Risk Assessment. Finally, microfluidically linked tissue combinations such as skin-liver and intestine-liver in organ-on-chip devices are reviewed as they form a relevant aspect for advancing toxicokinetic and toxicodynamic studies. We point to recent achievements and challenges to overcome, to advance non-animal, human-relevant safety studies.
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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.