Literature DB >> 32396021

Current models of pulmonary fibrosis for future drug discovery efforts.

Toyoshi Yanagihara1,2, Sy Giin Chong1, Megan Vierhout1, Jeremy A Hirota1, Kjetil Ask1, Martin Kolb1.   

Abstract

INTRODUCTION: Pulmonary fibrosis includes several lung disorders characterized by progressive fibrosis, of which idiopathic pulmonary fibrosis (IPF) is a particularly severe form with a median survival time of 3-5 years after diagnosis. Although numerous compounds have shown efficacy in attenuating pulmonary fibrosis using animal models, only a few compounds have shown their beneficial effects for IPF in clinical trials. Thus, there is an emergent need to improve the preclinical development process to better identify, characterize and select clinically useful targets. AREAS COVERED: In this review, the authors extensively describe current models of pulmonary fibrosis, including rodent models, ex vivo models, and in vitro models. EXPERT OPINION: Based upon our current understanding, improving the identification and characterization of clinically relevant molecules or pathways responsible for progressive fibrotic diseases and use of the appropriate preclinical model system to test these will likely be required to improve the drug development pipeline for pulmonary fibrosis. Combination with appropriate preclinical models with ex vivo (precision-cut lung slices) or in vitro models would be beneficial for high-throughput drug discovery or validation of drug effects.

Entities:  

Keywords:  Fibrosis; cell culture; experimental models; tissue

Mesh:

Year:  2020        PMID: 32396021     DOI: 10.1080/17460441.2020.1755252

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  7 in total

1.  Pivotal role of micro-CT technology in setting up an optimized lung fibrosis mouse model for drug screening.

Authors:  Zahra Khalajzeyqami; Andrea Grandi; Erica Ferrini; Francesca Ravanetti; Ludovica Leo; Martina Mambrini; Luciana Giardino; Gino Villetti; Franco Fabio Stellari
Journal:  PLoS One       Date:  2022-06-15       Impact factor: 3.752

Review 2.  The state of the art for artificial intelligence in lung digital pathology.

Authors:  Vidya Sankar Viswanathan; Paula Toro; Germán Corredor; Sanjay Mukhopadhyay; Anant Madabhushi
Journal:  J Pathol       Date:  2022-06-20       Impact factor: 9.883

Review 3.  Therapeutic Potential of Exosomes in Pulmonary Fibrosis.

Authors:  Linshen Xie; Ye Zeng
Journal:  Front Pharmacol       Date:  2020-12-04       Impact factor: 5.810

4.  Leveraging ageing models of pulmonary fibrosis: the efficacy of nintedanib in ageing.

Authors:  Kosuke Kato; Yoon-Joo Shin; Sunny Palumbo; Ioannis Papageorgiou; Seongmin Hahn; Joseph D Irish; Skye P Rounseville; Robert T Krafty; Lutz Wollin; Maor Sauler; Louise Hecker
Journal:  Eur Respir J       Date:  2021-11-25       Impact factor: 16.671

Review 5.  3D Bioprinting Strategies, Challenges, and Opportunities to Model the Lung Tissue Microenvironment and Its Function.

Authors:  Mabel Barreiro Carpio; Mohammadhossein Dabaghi; Julia Ungureanu; Martin R Kolb; Jeremy A Hirota; Jose Manuel Moran-Mirabal
Journal:  Front Bioeng Biotechnol       Date:  2021-11-24

Review 6.  Exosomes in pathogenesis, diagnosis, and treatment of pulmonary fibrosis.

Authors:  Yang Yang; Yufei Liu; Yilu Chai; Ke Liu; Wei Hu; Keni Zhao; Yi Zhu; Peiyang Gao; Qingsong Huang; Chuantao Zhang
Journal:  Front Pharmacol       Date:  2022-08-25       Impact factor: 5.988

Review 7.  Human pluripotent stem cell-derived macrophages and macrophage-derived exosomes: therapeutic potential in pulmonary fibrosis.

Authors:  Roya Rasaei; Apoorvi Tyagi; Shima Rasaei; Seung-Joon Lee; Se-Ran Yang; Kye-Seong Kim; Suresh Ramakrishna; Seok-Ho Hong
Journal:  Stem Cell Res Ther       Date:  2022-09-02       Impact factor: 8.079

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.