{"title":"Promises and challenges in pharmacoepigenetics.","authors":"Delaney A Smith, Marie C Sadler, Russ B Altman","doi":"10.1017/pcm.2023.6","DOIUrl":null,"url":null,"abstract":"<p><p>Pharmacogenetics, the study of how interindividual genetic differences affect drug response, does not explain all observed heritable variance in drug response. Epigenetic mechanisms, such as DNA methylation, and histone acetylation may account for some of the unexplained variances. Epigenetic mechanisms modulate gene expression and can be suitable drug targets and can impact the action of nonepigenetic drugs. Pharmacoepigenetics is the field that studies the relationship between epigenetic variability and drug response. Much of this research focuses on compounds targeting epigenetic mechanisms, called epigenetic drugs, which are used to treat cancers, immune disorders, and other diseases. Several studies also suggest an epigenetic role in classical drug response; however, we know little about this area. The amount of information correlating epigenetic biomarkers to molecular datasets has recently expanded due to technological advances, and novel computational approaches have emerged to better identify and predict epigenetic interactions. We propose that the relationship between epigenetics and classical drug response may be examined using data already available by (1) finding regions of epigenetic variance, (2) pinpointing key epigenetic biomarkers within these regions, and (3) mapping these biomarkers to a drug-response phenotype. This approach expands on existing knowledge to generate putative pharmacoepigenetic relationships, which can be tested experimentally. Epigenetic modifications are involved in disease and drug response. Therefore, understanding how epigenetic drivers impact the response to classical drugs is important for improving drug design and administration to better treat disease.</p>","PeriodicalId":72491,"journal":{"name":"Cambridge prisms, Precision medicine","volume":"1 ","pages":"e18"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406571/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cambridge prisms, Precision medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/pcm.2023.6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Pharmacogenetics, the study of how interindividual genetic differences affect drug response, does not explain all observed heritable variance in drug response. Epigenetic mechanisms, such as DNA methylation, and histone acetylation may account for some of the unexplained variances. Epigenetic mechanisms modulate gene expression and can be suitable drug targets and can impact the action of nonepigenetic drugs. Pharmacoepigenetics is the field that studies the relationship between epigenetic variability and drug response. Much of this research focuses on compounds targeting epigenetic mechanisms, called epigenetic drugs, which are used to treat cancers, immune disorders, and other diseases. Several studies also suggest an epigenetic role in classical drug response; however, we know little about this area. The amount of information correlating epigenetic biomarkers to molecular datasets has recently expanded due to technological advances, and novel computational approaches have emerged to better identify and predict epigenetic interactions. We propose that the relationship between epigenetics and classical drug response may be examined using data already available by (1) finding regions of epigenetic variance, (2) pinpointing key epigenetic biomarkers within these regions, and (3) mapping these biomarkers to a drug-response phenotype. This approach expands on existing knowledge to generate putative pharmacoepigenetic relationships, which can be tested experimentally. Epigenetic modifications are involved in disease and drug response. Therefore, understanding how epigenetic drivers impact the response to classical drugs is important for improving drug design and administration to better treat disease.
药物遗传学是一门研究个体间遗传差异如何影响药物反应的学科,但它并不能解释所有观察到的药物反应遗传差异。表观遗传学机制,如 DNA 甲基化和组蛋白乙酰化,可能是部分无法解释的差异的原因。表观遗传机制可调节基因表达,可成为合适的药物靶点,并可影响非表观遗传药物的作用。药物表观遗传学是研究表观遗传变异与药物反应之间关系的领域。这方面的研究主要集中在以表观遗传机制为靶点的化合物上,这些化合物被称为表观遗传药物,用于治疗癌症、免疫紊乱和其他疾病。一些研究还表明,表观遗传在经典药物反应中也发挥着作用;然而,我们对这一领域知之甚少。由于技术的进步,表观遗传生物标志物与分子数据集相关联的信息量最近有所扩大,而且出现了新的计算方法来更好地识别和预测表观遗传相互作用。我们建议利用现有数据研究表观遗传学与经典药物反应之间的关系,具体方法是:(1)找到表观遗传变异区域;(2)精确定位这些区域内的关键表观遗传生物标志物;(3)将这些生物标志物映射到药物反应表型上。这种方法扩展了现有知识,产生了假定的药物表观遗传学关系,并可对其进行实验测试。表观遗传修饰与疾病和药物反应有关。因此,了解表观遗传驱动因素如何影响对经典药物的反应,对于改进药物设计和用药以更好地治疗疾病非常重要。