Elisabeth Bäck , Jessica Bjärkby , Leire Escudero-Ibarz , Stefan Tångefjord , Johan Jirholt , Mei Ding
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引用次数: 0
Abstract
Idiopathic pulmonary fibrosis (IPF) is a chronic and progressive age-related lung disease with an average survival of 3–5 years post-diagnosis if left untreated. It is characterized by lung fibrosis, inflammation, and destruction of lung architecture, leading to worsening respiratory symptoms and physiological impairment, ultimately culminating in progressive respiratory failure. The development of novel therapeutics for the treatment of IPF represents a significant unmet medical need. Fibroblast to myofibroblast transition (FMT) in response to fibrogenic mediators such as transforming growth factor beta 1 (TGF-β1) has been identified as a key cellular phenotype driving the formation of myofibroblasts and lung fibrosis in IPF. Establishing a robust and high-throughput in vitro human FMT assay is crucial for uncovering new disease targets and for efficiently screening compounds for the advancement of novel therapeutics aimed at targeting myofibroblast activity. However, creating a robust FMT assay suitable for high-throughput drug screening has proven challenging due to the requisite level of automation.
In this study, we focus on evaluating different automation approaches for liquid exchange and compound dosing in the human FMT assay. A semi-automated assay, capable of screening a large number of compounds that inhibit TGF-β1-induced FMT in both Normal Human Lung Fibroblasts (NHLF) and IPF-patient derived Disease Human Lung Fibroblasts (IPF-DHLF), has been successfully developed and optimized. We demonstrate that the optimized FMT assay using liquid handling automation exhibits great assay reproducibility, shows good assay translation using human lung fibroblasts from normal healthy versus IPF-patients, and demonstrates acceptable human primary donor variability. This allows for the standardization of comparisons of compound anti-fibrotic potency across IPF projects.
期刊介绍:
Advancing Life Sciences R&D: SLAS Discovery reports how scientists develop and utilize novel technologies and/or approaches to provide and characterize chemical and biological tools to understand and treat human disease.
SLAS Discovery is a peer-reviewed journal that publishes scientific reports that enable and improve target validation, evaluate current drug discovery technologies, provide novel research tools, and incorporate research approaches that enhance depth of knowledge and drug discovery success.
SLAS Discovery emphasizes scientific and technical advances in target identification/validation (including chemical probes, RNA silencing, gene editing technologies); biomarker discovery; assay development; virtual, medium- or high-throughput screening (biochemical and biological, biophysical, phenotypic, toxicological, ADME); lead generation/optimization; chemical biology; and informatics (data analysis, image analysis, statistics, bio- and chemo-informatics). Review articles on target biology, new paradigms in drug discovery and advances in drug discovery technologies.
SLAS Discovery is of particular interest to those involved in analytical chemistry, applied microbiology, automation, biochemistry, bioengineering, biomedical optics, biotechnology, bioinformatics, cell biology, DNA science and technology, genetics, information technology, medicinal chemistry, molecular biology, natural products chemistry, organic chemistry, pharmacology, spectroscopy, and toxicology.
SLAS Discovery is a member of the Committee on Publication Ethics (COPE) and was published previously (1996-2016) as the Journal of Biomolecular Screening (JBS).