Comparing species-different responses in pulmonary fibrosis research: Current understanding of in vitro lung cell models and nanomaterials
Jazyk angličtina Země Nizozemsko Médium print-electronic
Typ dokumentu přehledy, časopisecké články
PubMed
36652970
DOI
10.1016/j.ejps.2023.106387
PII: S0928-0987(23)00018-0
Knihovny.cz E-zdroje
- Klíčová slova
- Adverse outcome pathway, In vitro lung models, Nanomaterials, Pulmonary fibrosis,
- MeSH
- buněčné kultury MeSH
- lidé MeSH
- nanostruktury * MeSH
- plíce metabolismus MeSH
- plicní fibróza * farmakoterapie metabolismus patologie MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Pulmonary fibrosis (PF) is a chronic, irreversible lung disease that is typically fatal and characterized by an abnormal fibrotic response. As a result, vast areas of the lungs are gradually affected, and gas exchange is impaired, making it one of the world's leading causes of death. This can be attributed to a lack of understanding of the onset and progression of the disease, as well as a poor understanding of the mechanism of adverse responses to various factors, such as exposure to allergens, nanomaterials, environmental pollutants, etc. So far, the most frequently used preclinical evaluation paradigm for PF is still animal testing. Nonetheless, there is an urgent need to understand the factors that induce PF and find novel therapeutic targets for PF in humans. In this regard, robust and realistic in vitro fibrosis models are required to understand the mechanism of adverse responses. Over the years, several in vitro and ex vivo models have been developed with the goal of mimicking the biological barriers of the lung as closely as possible. This review summarizes recent progress towards the development of experimental models suitable for predicting fibrotic responses, with an emphasis on cell culture methods, nanomaterials, and a comparison of results from studies using cells from various species.
Citace poskytuje Crossref.org