Sonawane Abhijeet Rajendra, Aikawa Elena, Aikawa Masanori
Center for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Center for Excellence in Vascular Biology, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Front Cardiovasc Med. 2022 May 19;9:873582. doi: 10.3389/fcvm.2022.873582. eCollection 2022.
Cardiovascular diseases (CVD) are diverse disorders affecting the heart and vasculature in millions of people worldwide. Like other fields, CVD research has benefitted from the deluge of multiomics biomedical data. Current CVD research focuses on disease etiologies and mechanisms, identifying disease biomarkers, developing appropriate therapies and drugs, and stratifying patients into correct disease endotypes. Systems biology offers an alternative to traditional reductionist approaches and provides impetus for a comprehensive outlook toward diseases. As a focus area, network medicine specifically aids the translational aspect of research. This review discusses the approach of network medicine and its application to CVD research.
心血管疾病(CVD)是一类影响全球数百万人心脏和血管系统的多种疾病。与其他领域一样,CVD研究受益于多组学生物医学数据的大量涌现。当前的CVD研究集中在疾病病因和机制、识别疾病生物标志物、开发合适的治疗方法和药物,以及将患者分层为正确的疾病亚型。系统生物学为传统的还原论方法提供了一种替代方案,并为全面看待疾病提供了动力。作为一个重点领域,网络医学特别有助于研究的转化方面。本综述讨论了网络医学的方法及其在CVD研究中的应用。