ArticleComputational and structural biotechnology journal2022
Translatability and transferability of in silico models: Context of use switching to predict the effects of environmental chemicals on the immune system.
Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Per- and polyfluoroalkyl substances (PFAS): persistence, toxicity, and emerging solutions.Bioprocess and biosystems engineering · 2026Review
- Assessment of immunotoxicity in the 21st century: Where we are and what we need to replace animals.Current opinion in toxicology · 2025Article
- Requirements for Alternative In Vitro and In Silico Skin Models of Irritant and Allergic Contact Dermatitis.Contact dermatitis · 2025Review
- Research Progress in Current and Emerging Issues of PFASs' Global Impact: Long-Term Health Effects and Governance of Food Systems.Foods (Basel, Switzerland) · 2025Review
- Advancing PFAS risk assessment: Integrative approaches using agent-based modelling and physiologically-based kinetic for environmental and health safety.Computational and structural biotechnology journal · 2024Article
- Pioneering bioinformatics with agent-based modelling: an innovative protocol to accurately forecast skin or respiratory allergic reactions to chemical sensitizers.Briefings in bioinformatics · 2024Article
- Article
- Beyond the state of the art of reverse vaccinology: predicting vaccine efficacy with the universal immune system simulator for influenza.BMC bioinformatics · 2023Article
- Consideration of pathways for immunotoxicity of per- and polyfluoroalkyl substances (PFAS).Environmental health : a global access science source · 2023Review
- Immunotoxicity In Vitro Assays for Environmental Pollutants under Paradigm Shift in Toxicity Tests.International journal of environmental research and public health · 2022Review
- Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers.Computational and structural biotechnology journal · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immunotoxicity hazard identification of chemicals aims to evaluate the potential for unintended effects of chemical exposure on the immune system. Perfluorinated alkylate substances (PFAS), such as perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA), are persistent, globally disseminated environmental contaminants known to be immunotoxic. Elevated PFAS exposure is associated with lower antibody responses to vaccinations in children and in adults. In addition, some studies have reported a correlation between PFAS levels in the body and lower resistance to disease, in other words an increased risk of infections or cancers. In this context, modelling and simulation platforms could be used to simulate the human immune system with the aim to evaluate the adverse effects that immunotoxicants may have. Here, we show the conditions under which a mathematical model developed for one purpose and application (e.g., in the pharmaceutical domain) can be successfully translated and transferred to another (e.g., in the chemicals domain) without undergoing significant adaptation. In particular, we demonstrate that the Universal Immune System Simulator was able to simulate the effects of PFAS on the immune system, introducing entities and new interactions that are biologically involved in the phenomenon. This also revealed a potentially exploitable pathway for assessing immunotoxicity through a computational model.
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