Current Topics in Medicinal Chemistry ( IF 3.4 ) Pub Date : 2020-06-30 , DOI: 10.2174/1568026620666200603105002 Zejun Pei 1 , Manhong Shi 2 , Junping Guo 3 , Bairong Shen 4
Heart rate variability (HRV) signals are reported to be associated with the personalized drug response in many diseases such as major depressive disorder, epilepsy, chronic pain, hypertension, etc. But the relationships between HRV signals and the personalized drug response in different diseases and patients are complex and remain unclear. With the fast development of modern smart sensor technologies and the popularization of big data paradigm, more and more data on the HRV and drug response will be available, it then provides great opportunities to build models for predicting the association of the HRV with personalized drug response precisely. We here review the present status of the HRV data resources and models for predicting and evaluating of personalized drug responses in different diseases. The future perspectives on the integration of knowledge and personalized data at different levels such as, genomics, physiological signals, etc. for the application of HRV signals to the precision prediction of drug therapy and their response will be provided.
中文翻译:
基于心率变异性的个性化药物治疗反应预测:现状和展望。
据报道,在许多疾病中,如重度抑郁症,癫痫病,慢性疼痛,高血压等,心率变异性(HRV)信号与个性化药物反应相关。但是在不同疾病中,HRV信号与个性化药物反应之间的关系患者很复杂,仍不清楚。随着现代智能传感器技术的飞速发展和大数据范例的普及,越来越多的HRV和药物反应数据将提供,这为建立模型来预测HRV与个性化药物反应之间的联系提供了巨大的机会。恰恰。我们在这里回顾了HRV数据资源和模型的现状,以预测和评估不同疾病中的个性化药物反应。