首页 | 本学科首页   官方微博 | 高级检索  
     


Novel molecular insights and public omics data in pulmonary hypertension
Authors:Camila Lopez-Crisosto  Raul Arias-Carrasco  Pablo Sepulveda  Luis Garrido-Olivares  Vinicius Maracaja-Coutinho  Hugo E. Verdejo  Pablo F. Castro  Sergio Lavandero
Affiliation:1. Advanced Center for Chronic Diseases (ACCDiS), Faculty of Chemical & Pharmaceutical Sciences & Faculty of Medicine, Universidad de Chile, Santiago 8380492, Chile;2. Advanced Center for Chronic Diseases (ACCDiS), Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8380492, Chile;3. Division of Cardiovascular Diseases, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile;4. Cardiovascular Surgery, Division of Surgery, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile;5. Department of Internal Medicine, Cardiology Division, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
Abstract:Pulmonary hypertension is a rare disease with high morbidity and mortality which mainly affects women of reproductive age. Despite recent advances in understanding the pathogenesis of pulmonary hypertension, the high heterogeneity in the presentation of the disease among different patients makes it difficult to make an accurate diagnosis and to apply this knowledge to effective treatments. Therefore, new studies are required to focus on translational and personalized medicine to overcome the lack of specificity and efficacy of current management. Here, we review the majority of public databases storing ‘omics’ data of pulmonary hypertension studies, from animal models to human patients. Moreover, we review some of the new molecular mechanisms involved in the pathogenesis of pulmonary hypertension, including non-coding RNAs and the application of ‘omics’ data to understand this pathology, hoping that these new approaches will provide insights to guide the way to personalized diagnosis and treatment.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号