Unbound MEDLINE

Quantitative microscopy in murine models of lung inflammation.

Abstract

OBJECTIVE
To develop a quantitative means to measure lung inflammation using the murine models of chronic asthma and cystic fibrosis (CF).
STUDY DESIGN
Translational-based medicine often utilizes animal models to study new and innovative therapeutics. In asthma and CF, the animal models focus on airway inflammation and remodeling. The asthma model is based on hypersensitivity-induced airway disease, whereas the CF model focuses on the inflammatory response to infection with Pseudomonas aeruginosa. Qualitative measures of inflammation and lung pathophysiology introduce significant variability and difficulty in interpreting interventional outcomes. The highly sensitive and reproducible quantitative computational program interfaced with Image Pro Microscopy to monitor changes in lung inflammation and lung pathophysiology. The software interfaces with image microscopy and automates the lung section review process.
RESULTS
Results from this program recapitulated data obtained by manual point counting of inflammation, bronchoalveolar lavage differential, and histology. The data show a low coefficient of variation and high reproducibility between slides and sections.
CONCLUSION
Utilization of this new microscopy program will enhance the quantitative means of establishing changes in lung structure and inflammation as a measure of therapeutic intervention with the ability of refining interpretation of in vivo models potentially short-circuiting translation into the clinical setting.

Authors

Soltzberg J, Frischmann S, van Heeckeren C, Brown N, Caplan A, Bonfield TL

Source

Analytical and quantitative cytology and histology / the International Academy of Cytology [and] American Society of Cytology 33:5 2011 Oct pg 245-52

MeSH

Animals
Asthma
Chronic Disease
Cystic Fibrosis
Disease Models, Animal
Image Processing, Computer-Assisted
Leukocytes
Lung
Mice
Mice, Inbred BALB C
Mice, Knockout
Microscopy
Pneumonia
Severity of Illness Index
Software

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

22611751