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BMC Pulmonary Medicine

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Open Access 01-12-2016 | Research article

Overexpression of programmed cell death 5 in a mouse model of ovalbumin-induced allergic asthma

Authors: Xiaolin Diao, Juan Wang, Hong Zhu, Bei He

Published in: BMC Pulmonary Medicine | Issue 1/2016

Abstract

Background

Programmed cell death 5 (PDCD5) was first identified as an apoptosis-promoting protein and involved in some autoimmune diseases and inflammatory processes. Our previous study demonstrated greater expression of serum PDCD5 in asthmatic patients than controls. This study aimed to further explore the significance of PDCD5 in mice with induced allergic asthma.

Methods

We divided 16 female mice into 2 groups: control (n = 8) and allergen (ovalbumin, OVA)-challenged mice (n = 8). The modified ovalbumin inhalation method was used to generate the allergic asthma mouse model, and the impact of OVA was assessed by histology of lung tissue and morphometry. The number of cells in bronchoalveolar lavage fluid (BALF) was detected. Pulmonary function was measured by pressure sensors. PDCD5 and active caspase-3 levels were detected.

Results

The expression of PDCD5 was higher with OVA challenge than for controls (p < 0.05). PDCD5 level was correlated with number of inflammatory cells in BALF and lung function. Moreover, active caspase-3 level was increased in the OVA-challenged mice (p < 0.001) and correlated with PDCD5 level (p = 0.000).

Conclusions

These data demonstrate an association between level of PDCD5 and asthma severity and indicate that PDCD5 may play a role in allergic asthma.

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Title: Overexpression of programmed cell death 5 in a mouse model of ovalbumin-induced allergic asthma
Authors: Xiaolin Diao
Juan Wang
Hong Zhu
Bei He
Publication date: 01-12-2016
Publisher: BioMed Central
Published in: BMC Pulmonary Medicine / Issue 1/2016
Electronic ISSN: 1471-2466
DOI: https://doi.org/10.1186/s12890-016-0317-y

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Overexpression of programmed cell death 5 in a mouse model of ovalbumin-induced allergic asthma

Abstract

Background

Methods

Results

Conclusions

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Abstract

Background

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Conclusions

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