Issue 34, 2019, Issue in Progress

miR-let-7d attenuates EMT by targeting HMGA2 in silica-induced pulmonary fibrosis

Abstract

Silicosis is a serious occupational disease characterized by pulmonary chronic inflammation and progressive fibrosis. Epithelial-mesenchymal transition (EMT) of alveolar epithelial cells plays a vital role in silicosis. Recent studies discovered a variety of microRNAs (miRNAs) participating in fibrotic diseases. Here, we aimed to explore the function and mechanism of miRNA let-7d in the EMT process in silica-induced alveolar epithelial cells. To detect whether let-7d and its target HMGA2 were involved in silica-induced EMT, we established a silicosis mouse model and found that let-7d was down-regulated and HMGA2 was up-regulated in the silica-treated group. Then we applied an in vitro co-culture system to imitate the EMT process in A549 cells after silica treatment. The down-regulation of let-7d and up-regulation of HMGA2 were also observed in vitro. The knockdown of HMGA2 significantly inhibited the silica-induced EMT. Furthermore, we found that overexpression of let-7d could reduce the expression of HMGA2 and consequently inhibited the silica-induced EMT, whereas inhibition of let-7d increased the expression of HMGA2 and promoted the silica-induced EMT. In conclusion, let-7d negatively regulated silica-induced EMT and inhibited silica-induced pulmonary fibrosis, which might be partially realized by directly binding to HMGA2. Our data suggested that miRNA let-7d might have a potential protective effect in the fibrotic process and become a new therapeutic target for silicosis or other fibrotic diseases.

Graphical abstract: miR-let-7d attenuates EMT by targeting HMGA2 in silica-induced pulmonary fibrosis

Article information

Article type
Paper
Submitted
08 Feb 2019
Accepted
11 Jun 2019
First published
20 Jun 2019
This article is Open Access
Creative Commons BY license

RSC Adv., 2019,9, 19355-19364

miR-let-7d attenuates EMT by targeting HMGA2 in silica-induced pulmonary fibrosis

X. Yu, R. Zhai, B. Hua, L. Bao, D. Wang, Y. Li, W. Yao, H. Fan and C. Hao, RSC Adv., 2019, 9, 19355 DOI: 10.1039/C9RA01031A

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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