| Literature DB >> 34292676 |
Ajay Vikram Singh1, Anthony Romeo2, Kassandra Scott2, Sandra Wagener1, Lars Leibrock1, Peter Laux1, Andreas Luch1, Pranali Kerkar3, Shidin Balakrishnan4, Sarada Prasad Dakua4, Byung-Wook Park2.
Abstract
Respiratory toxicology remains a major research area in the 21st century since current scenario of airborne viral infection transmission and pollutant inhalation is expected to raise the annual morbidity beyond 2 million. Clinical and epidemiological research connecting human exposure to air contaminants to understand adverse pulmonary health outcomes is, therefore, an immediate subject of human health assessment. Important observations in defining systemic effects of environmental contaminants on inhalation metabolic dysfunction, liver health, and gastrointestinal tract have been well explored with in vivo models. In this review, a framework is provided, a paradigm is established about inhalation toxicity testing in vitro, and a brief overview of breathing Lungs-on-Chip (LoC) as design concepts is given. The optimized bioengineering approaches and microfluidics with their fundamental pros, and cons are presented. There are different strategies that researchers apply to inhalation toxicity studies to assess a variety of inhalable substances and relevant LoC approaches. A case study from published literature and frame arguments about reproducibility as well as in vitro/in vivo correlations are discussed. Finally, the opportunities and challenges in soft robotics, systems inhalation toxicology approach integrating bioengineering, machine learning, and artificial intelligence to address a multitude model for future toxicology are discussed.Entities:
Keywords: air-liquid-interfaces; inhalation; lungs-on-chip; machine learning; toxicology
Year: 2021 PMID: 34292676 DOI: 10.1002/adhm.202100633
Source DB: PubMed Journal: Adv Healthc Mater ISSN: 2192-2640 Impact factor: 9.933