The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
An Official American Thoracic Society Workshop Report: Use of Animal Models for the Preclinical Assessment of Potential Therapies for Pulmonary Fibrosis
Open accessAbstract
Numerous compounds have shown efficacy in limiting development of pulmonary fibrosis using animal models, yet few of these compounds have replicated these beneficial effects in clinical trials. Given the challenges associated with performing clinical trials in patients with idiopathic pulmonary fibrosis (IPF), it is imperative that preclinical data packages be robust in their analyses and interpretations to have the best chance of selecting promising drug candidates to advance to clinical trials. The American Thoracic Society has convened a group of experts in lung fibrosis to discuss and formalize recommendations for preclinical assessment of antifibrotic compounds. The panel considered three major themes (choice of animal, practical considerations of fibrosis modeling, and fibrotic endpoints for evaluation). Recognizing the need for practical considerations, we have taken a pragmatic approach. The consensus view is that use of the murine intratracheal bleomycin model in animals of both genders, using hydroxyproline measurements for collagen accumulation along with histologic assessments, is the best-characterized animal model available for preclinical testing. Testing of antifibrotic compounds in this model is recommended to occur after the acute inflammatory phase has subsided (generally after Day 7). Robust analyses may also include confirmatory studies in human IPF specimens and validation of results in a second system using in vivo or in vitro approaches. The panel also strongly encourages the publication of negative results to inform the lung fibrosis community. These recommendations are for preclinical therapeutic evaluation only and are not intended to dissuade development of emerging technologies to better understand IPF pathogenesis.
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Self-citationMunger, J. S., Huang, X., Kawakatsu, H., Griffiths, M. J. D., Dalton, S. L., Wu, J., Pittet, J.-F., Kaminski, N., Garat, C., Matthay, M. A., et al. (1999) · Cell · doi:10.1016/s0092-8674(00)80545-0 · Cited by 2,076
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Simple method of estimating severity of pulmonary fibrosis on a numerical scale.
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Woodcock, H. V., Eley, J. D., Guillotin, D., Platé, M., Nanthakumar, C. B., Martufi, M., Peace, S., Joberty, G., Poeckel, D., Good, R. B., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-07858-8 · Cited by 224
Self-citationUse of precision cut lung slices as a translational model for the study of lung biology
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Lodyga, M., Cambridge, E., Karvonen, H. M., Pakshir, P., Wu, B., Boo, S., Kiebalo, M., Kaarteenaho, R., Glogauer, M., Kapoor, M., et al. (2019) · Science Signaling · doi:10.1126/scisignal.aao3469 · Cited by 181
Metadata
- Authors
- Jenkins, R. G., Moore, B. B., Chambers, R. C., Eickelberg, O., Königshoff, M., Kolb, M., Laurent, G. J., Nanthakumar, C. B., Olman, M. A., Pardo, A., Selman, M., Sheppard, D., Sime, P. J., Tager, A. M., Tatler, A. L., Thannickal, V. J., & White, E. S.
- Venue
- American Journal of Respiratory Cell and Molecular Biology
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-05-01
- Volume
- 56
- Issue
- 5
- Pages
- 667-679
- ISSN
- 1044-1549 (ISSN-L)
- 1535-4989
- OpenAlex
- W2610199736
- Cited by
- 435
- References
- 111
- FWCI
- 21.67
- Type
- journal article
- Language
- en
- Open access
- green
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- Jenkins, R. G., Moore, B. B., Chambers, R. C., Eickelberg, O., Königshoff, M., Kolb, M., Laurent, G. J., Nanthakumar, C. B., Olman, M. A., Pardo, A., Selman, M., Sheppard, D., Sime, P. J., Tager, A. M., Tatler, A. L., Thannickal, V. J., & White, E. S. (2017). An Official American Thoracic Society Workshop Report: Use of Animal Models for the Preclinical Assessment of Potential Therapies for Pulmonary Fibrosis. American Journal of Respiratory Cell and Molecular Biology. https://doi.org/10.1165/rcmb.2017-0096st
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
