Qiang Du, Chun Zhang, Tianyu Qu, Xiao Zhou, Yingying Liu, Zhixuan Chen, Zilin Shen, Pingsheng Chen, Ruifeng Zhang
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引用次数: 0
Abstract
The dysregulation of N6-methyladenosine (m6A) RNA modification is widely recognized for its crucial roles in various diseases, including pulmonary hypertension (PH). Prior studies have highlighted the significant role of methyltransferase-like 3 (METTL3) in the pathogenesis of PH. Nevertheless, the potential and underlying mechanisms of METTL3 and its inhibitors as targets for PH treatment require further elucidation. In this study, we observed increased levels of METTL3 in various rodent models of PH. In vitro studies revealed that METTL3 silencing or treatment with STM2457, a specific METTL3 inhibitor, attenuated the proliferation and migration of pulmonary artery smooth muscle cells stimulated by platelet-derived growth factor-BB or hypoxia. Moreover, in vivo experiments using adeno-associated virus 9-mediated METTL3 silencing or STM2457 inhibition demonstrated improvement in SU5416/hypoxia-induced PH in mice. Additionally, m6A RNA immunoprecipitation analysis identified RBPJ as a gene regulated by METTL3 in rodent models of PH. Loss-of-function studies showed that silencing RBPJ could attenuate the changes in the proliferation and migration of pulmonary artery smooth muscle cells induced by platelet-derived growth factor-BB or hypoxia. Further studies indicated that METTL3 and YTHDF1 regulate RBPJ mRNA expression in an m6A-dependent manner. These findings indicated that targeting METTL3 may be a promising therapeutic strategy for treating PH, and modulation of RBPJ could offer a potential intervention mechanism.
期刊介绍:
The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.