Mengyue Huo, Hua Mei, Yuheng Zhang, Yanbo Zhang, Chunli Liu
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引用次数: 0
Abstract
Objective: To investigate the expression and possible regulatory mechanism of miR-34a in the lung tissue of neonatal rat model of bronchopulmonary dysplasia (BPD) induced by hyperoxia.
Methods: In the study, 80 newborn SD rats were randomly divided into hyperoxia group (FiO2=60%) and air group (FiO2=21%) within 2 hours after birth, 40 rats per group. Lung tissue samples of the SD rats in each group were extracted on the 1st, 7th, 14th and 21st days after birth, and the pathological changes of lung tissue were observed under light microscope after HE staining. The number of radial alveolar counts (RAC) and the mean alveolar diameter (MAD) and the thickness of alveolar septal thickness (AST) were measured to evaluate the development of alveoli. Real-time fluorescence quantitative PCR was used to detect the expression of miR-34a, angiopoietin-1 (Ang-1) and tyrosine kinase receptor-2 (Tie-2) in lung tissue of rats in hyperoxia group and air group at different time points. Enzyme-linked immunosorbent assay (ELISA) was used to detect the proteins expression of Ang-1 and Tie-2 in the lung tissues of the two groups at different time points.
Results: The weight of rats in the hyperoxia group on the 7th, 14th and 21st days after birth was significantly lower than that in the air group (P all < 0.05). With the prolongation of oxygen exposure, the number of alveoli decreased, the volume increased, the structure simplified, the alveolar cavity enlarged obviously and the alveolar septum thickened in the hyperoxia group. On the 7th, 14th and 21st days after birth, the RAC in the hyperoxia group was significantly lower than that in the air group (P all < 0.05). Compared with the air group, MAD and AST increased significantly on the 7th, 14th and 21st days after birth in the hyperoxia group, and the difference was statistically significant (P all < 0.05). The expression level of miR-34a in lung tissue of hyperoxia group was significantly higher than that of air group on the 7th, 14th and 21st days after birth, and the difference was statistically significant (P all < 0.05). Compared with the air group at the same time point, the expression levels of Ang-1 and Tie-2 mRNA and protein in the hyperoxia group were lower than those in the air group on the 14th and 21st days after birth (P all < 0.05).
Conclusion: The new BPD model of newborn SD rats can be successfully established by continuous exposure to 60% hyperoxia. The expression of miR-34a was up-regulated in the lung tissue of the new BPD model of neonatal rats. MiR-34a may play an important role in the occurrence and development of BPD by regulating Ang-1/Tie-2 signal pathway.
期刊介绍：
Beijing Da Xue Xue Bao Yi Xue Ban / Journal of Peking University (Health Sciences), established in 1959, is a national academic journal sponsored by Peking University, and its former name is Journal of Beijing Medical University. The coverage of the Journal includes basic medical sciences, clinical medicine, oral medicine, surgery, public health and epidemiology, pharmacology and pharmacy. Over the last few years, the Journal has published articles and reports covering major topics in the different special issues (e.g. research on disease genome, theory of drug withdrawal, mechanism and prevention of cardiovascular and cerebrovascular diseases, stomatology, orthopaedic, public health, urology and reproductive medicine). All the topics involve latest advances in medical sciences, hot topics in specific specialties, and prevention and treatment of major diseases.
The Journal has been indexed and abstracted by PubMed Central (PMC), MEDLINE/PubMed, EBSCO, Embase, Scopus, Chemical Abstracts (CA), Western Pacific Region Index Medicus (WPR), JSTChina, and almost all the Chinese sciences and technical index systems, including Chinese Science and Technology Paper Citation Database (CSTPCD), Chinese Science Citation Database (CSCD), China BioMedical Bibliographic Database (CBM), CMCI, Chinese Biological Abstracts, China National Academic Magazine Data-Base (CNKI), Wanfang Data (ChinaInfo), etc.
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