Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 796

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Murine models of pulmonary fibrosis

Moore, Bethany B., Hogaboam, Cory M.·2008·American Journal of Physiology-Lung Cellular and Molecular Physiology

Abstract

Human pulmonary fibrosis is characterized by alveolar epithelial cell injury, areas of type II cell hyperplasia, accumulation of fibroblasts and myofibroblasts, and the deposition of extracellular matrix proteins. The result is a progressive loss of normal lung architecture and impairment in gas exchange. Pertinent features of the human disease include temporal heterogeneity of the fibrotic lesions, progressive nature of the disease, development of fibrotic foci, and in some patients, a rapid worsening of symptoms known as an acute exacerbation. No current animal model recapitulates all of these cardinal manifestations of the human disease. However, investigations using murine models have led to the identification of many pathological cells and mediators that are believed to be important in human disease as well. In this review, we will summarize the characteristics, advantages, and disadvantages of many of the currently utilized murine models of pulmonary fibrosis.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1152/ajplung.00313.2007

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 796

Metadata

Authors
Moore, B. B., & Hogaboam, C. M.
Venue
American Journal of Physiology-Lung Cellular and Molecular Physiology
Published
2008-02
Volume
294
Issue
2
Pages
L152-L160
ISSN
  • 1040-0605 (ISSN-L)
  • 1522-1504
OpenAlex
W2167211373
Cited by
796
References
3
FWCI
20.31
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Murine models of pulmonary fibrosis. https://app.cochat.ai/papers/10.1152/ajplung.00313.2007
The paper
Moore, B. B., & Hogaboam, C. M. (2008). Murine models of pulmonary fibrosis. American Journal of Physiology-Lung Cellular and Molecular Physiology. https://doi.org/10.1152/ajplung.00313.2007

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.