Center of Innovation, Technology and Education (CITE), School of Health Sciences at Anhembi Morumbi University, Laureate International Universities, Sao Jose dos Campos 12247-016, Brazil.
DrTarget, 28806 Madrid, Spain.
Int J Mol Sci. 2019 Sep 5;20(18):4342. doi: 10.3390/ijms20184342.
In this review we summarized the actual clinical data for a cardioprotective therapeutic role of melatonin, listed melatonin and its agonists in different stages of development, and evaluated the melatonin cardiovascular target tractability and prediction using machine learning on ChEMBL. To date, most clinical trials investigating a cardioprotective therapeutic role of melatonin are in phase 2a. Selective melatonin receptor agonists Tasimelteon, Ramelteon, and combined melatonergic-serotonin Agomelatine, and other agonists with registered structures in CHEMBL were not yet investigated as cardioprotective or cardiovascular drugs. As drug-able for these therapeutic targets, melatonin receptor agonists have the benefit over melatonin of well-characterized pharmacologic profiles and extensive safety data. Recent reports of the X-ray crystal structures of MT1 and MT2 receptors shall lead to the development of highly selective melatonin receptor agonists. Predictive models using machine learning could help to identify cardiovascular targets for melatonin. Selecting ChEMBL scores > 4.5 in cardiovascular assays, and melatonin scores > 4, we obtained 284 records from 162 cardiovascular assays carried out with 80 molecules with predicted or measured melatonin activity. Melatonin activities (agonistic or antagonistic) found in these experimental cardiovascular assays and models include arrhythmias, coronary and large vessel contractility, and hypertension. Preclinical proof-of-concept and early clinical studies (phase 2a) suggest a cardioprotective benefit from melatonin in various heart diseases. However, larger phase 3 randomized interventional studies are necessary to establish melatonin and its agonists' actions as cardioprotective therapeutic agents.
在这篇综述中,我们总结了褪黑素的实际临床数据,列出了处于不同开发阶段的褪黑素及其激动剂,并使用 CHEMBL 上的机器学习评估了褪黑素心血管靶标可及性和预测性。迄今为止,大多数研究褪黑素的心脏保护治疗作用的临床试验都处于 2a 期。选择性褪黑素受体激动剂替马曲林、雷美替胺和联合褪黑素-5-羟色胺激动剂阿戈美拉汀,以及 CHEMBL 中注册结构的其他激动剂尚未被研究作为心脏保护或心血管药物。作为这些治疗靶点的可药物,褪黑素受体激动剂具有经过良好表征的药理学特征和广泛的安全性数据的优势。最近 MT1 和 MT2 受体的 X 射线晶体结构的报告将导致高度选择性的褪黑素受体激动剂的开发。使用机器学习的预测模型可以帮助识别褪黑素的心血管靶标。选择 CHEMBL 评分>4.5 的心血管测定值,以及褪黑素评分>4,我们从 162 项心血管测定值中获得了 284 项记录,这些测定值是用 80 种具有预测或测量褪黑素活性的分子进行的。在这些实验性心血管测定值和模型中发现的褪黑素活性(激动剂或拮抗剂)包括心律失常、冠状动脉和大血管收缩性以及高血压。临床前概念验证和早期临床研究(2a 期)表明,褪黑素在各种心脏病中具有心脏保护作用。然而,需要更大规模的 3 期随机干预研究来确定褪黑素及其激动剂作为心脏保护治疗剂的作用。