Chapter title |
Assessment of Ozone-Induced Lung Injury in Mice
|
---|---|
Chapter number | 19 |
Book title |
Lung Innate Immunity and Inflammation
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-8570-8_19 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8569-2, 978-1-4939-8570-8
|
Authors |
Vandy P. Stober, Stavros Garantziotis, Stober, Vandy P., Garantziotis, Stavros |
Abstract |
Ozone is a major pollutant in the air we breathe, and elevated levels lead to significant morbidity and mortality. As the climate warms, levels of ozone are predicted to increase. Accordingly, studies to assess the mechanisms of ozone-induced lung diseases are paramount. This chapter describes mouse models of ozone exposure and methods for assessing the effects of ozone in the lungs. These include bronchoalveolar lavage, necropsy, and measurement of lung function. Lavage allows for assessment of cell infiltration, cytokine production, tissue damage and capillary leakage in the airspaces. Necropsy provides tissue for gene expression, histology, and protein assessment in the whole lung. Lung physiology is used to assess airway hyperresponsiveness, tissue and total lung resistance, compliance, and elastance. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 4 | 20% |
Researcher | 2 | 10% |
Professor > Associate Professor | 2 | 10% |
Student > Master | 2 | 10% |
Student > Bachelor | 1 | 5% |
Other | 3 | 15% |
Unknown | 6 | 30% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 4 | 20% |
Veterinary Science and Veterinary Medicine | 2 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 10% |
Agricultural and Biological Sciences | 2 | 10% |
Nursing and Health Professions | 1 | 5% |
Other | 3 | 15% |
Unknown | 6 | 30% |