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m6A RNA Methylation Regulators Contribute to Predict and as a Therapy Target of Pulmonary Fibrosis.

Authors :
Deng, Meng-Sheng
Chen, Kui-Jun
zhang, Dong-Dong
Li, Guan-Hua
Weng, Chang-Mei
Wang, Jian-Min
Source :
Evidence-based Complementary & Alternative Medicine (eCAM). 4/21/2022, p1-7. 7p. 1 Color Photograph, 1 Diagram, 1 Chart, 2 Graphs.
Publication Year :
2022

Abstract

Background. Pulmonary fibrosis is difficult to treat. Early diagnosis and finding potential drug therapy targets of pulmonary fibrosis are particularly important. There were still various problems with existing pulmonary fibrosis markers, so it is particularly important to find new biomarkers and drug treatment targets. m6A (N6,2′-O-dimethyladenosine) RNA methylation was the cause of many diseases, and it is regulated by m6A methylation regulators. So, whether RNA methylation regulators can be a diagnostic marker and potential drug therapy target of early pulmonary fibrosis needs to be explored. Materials and Methods. Using GSE110147 and GSE33566 in the GEO database to predict the m6A methylation regulators that may be related to the development of pulmonary fibrosis, we used 10 mg/ml bleomycin to induce mouse pulmonary fibrosis models and human pulmonary fibrosis samples, to confirm whether this indicator can be an early diagnostic marker of pulmonary fibrosis. Results. According to the database prediction results, METTL3 can predict the occurrence and development of pulmonary fibrosis, and the results of MASSON and HE staining show that the fibrosis model of mice is successful, and the fibrosis of human samples is obvious. The results of immunohistochemistry showed that the expression of METTL3 was significantly reduced in pulmonary fibrosis. Conclusions. The m6A methylation regulator METTL3 can be considered as an important biomarker for diagnosing pulmonary fibrosis occurrence, furthermore it could be considered as a drug target because of its low expression in pulmonary fibrosis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1741427X
Database :
Academic Search Index
Journal :
Evidence-based Complementary & Alternative Medicine (eCAM)
Publication Type :
Academic Journal
Accession number :
156418760
Full Text :
https://doi.org/10.1155/2022/2425065