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Glucocorticoid Signaling

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Attention for Chapter 12: Glucocorticoids and the Lung
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Chapter title
Glucocorticoids and the Lung
Chapter number 12
Book title
Glucocorticoid Signaling
Published in
Advances in experimental medicine and biology, January 2015
DOI 10.1007/978-1-4939-2895-8_12
Pubmed ID
Book ISBNs
978-1-4939-2894-1, 978-1-4939-2895-8
Authors

Gerber, Anthony N., Anthony N. Gerber

Abstract

The lung is a major clinical target of glucocorticoid-based therapeutics, and GR signaling has broad effects on respiratory physiology and inflammation. During lung development, expression of GR in the mesenchyme is required for normal terminal alveolar epithelial differentiation. Prenatal administration of exogenous glucocorticoids (GCs) to prevent neonatal respiratory distress syndrome, however, promotes alveolar maturation and accelerates surfactant expression in a manner consistent with direct effects on the developing alveolar epithelium. Likewise, cell autonomous effects of GCs in regulating gene expression and phenotype of the airway epithelium and airway smooth muscle have been demonstrated to control important therapeutic effects of GCs in treating asthma and chronic obstructive pulmonary disease. Here, mechanisms and consequences of GR signaling in the developing lung and in treating obstructive lung disease are reviewed, with a focus on direct effects of GR signaling on alveolar differentiation, surfactant expression, and airway epithelial and smooth muscle pathophysiology.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 24%
Student > Master 6 21%
Librarian 2 7%
Student > Ph. D. Student 2 7%
Student > Doctoral Student 2 7%
Other 4 14%
Unknown 6 21%
Readers by discipline Count As %
Medicine and Dentistry 11 38%
Biochemistry, Genetics and Molecular Biology 2 7%
Computer Science 2 7%
Agricultural and Biological Sciences 1 3%
Arts and Humanities 1 3%
Other 4 14%
Unknown 8 28%