Literature DB >> 27004467

CYP21A2 expression is localized in the developing distal epithelium of the human perinatal lung and is compatible with in situ production and intracrine actions of active glucocorticoids.

Wafae Bouhaddioui1, Pierre R Provost2, Yves Tremblay3.   

Abstract

Glucocorticoids play essential roles in lung development. We investigated for expression of CYP21A2 (21-hydroxylase) as well as for the presence of the corresponding protein and identification of CYP21A2-expressing cells in several human developing lungs. Expression of some related genes was also assessed. CYP21A2 and CYP17A1 (P450c17) mRNAs were found in all the 34 lung samples from 17 to 40 weeks' gestation at variable levels. No correlation was found according to sex but a correlation with age was detected for CYP17A1 only. In contrast, CYP11B1 (11β-hydroxylase)- and CYP11B2 (aldosterone synthase)-mRNAs were not detected. Significant levels of the CYP21A2 protein were detected in all the analyzed samples, while only very low signals were detected for CYP17A1 protein. In situ hybridization revealed that CYP21A2 was almost exclusively expressed in the distal epithelium. It was reported that the lung distal epithelium of human fetuses also express 11β-hydroxysteroid dehydrogenase type 2, which catalyzes cortisol inactivation into cortisone. Based on this information, intracrine glucocorticoid actions should take place from CYP21A2 products through the glucocorticoid receptor in the absence of cortisol. In contrast, mineralocorticoid receptor activation did not seem to depend on deoxycorticosterone produced from local activity of CYP21A2 because of the reported circulating amounts of aldosterone.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  11-Deoxycortisol; 21-Hydroxylase; Deoxycorticosterone; Glucocorticoids; Lung development; Mineralocorticoids; Respiratory distress syndrome

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Year:  2016        PMID: 27004467     DOI: 10.1016/j.jsbmb.2016.03.024

Source DB:  PubMed          Journal:  J Steroid Biochem Mol Biol        ISSN: 0960-0760            Impact factor:   4.292


  1 in total

1.  Machine learning-based microarray analyses indicate low-expression genes might collectively influence PAH disease.

Authors:  Song Cui; Qiang Wu; James West; Jiangping Bai
Journal:  PLoS Comput Biol       Date:  2019-08-12       Impact factor: 4.475

  1 in total

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