1 Department of Molecular and Clinical Pharmacology, Wolfson Centre for Personalised Medicine, Institute of Translational Medicine, 4591 University of Liverpool , Liverpool L69 3GL, UK.
2 Department of Molecular and Clinical Pharmacology, MRC Centre for Drug Safety Science, Institute of Translational Medicine, 4591 University of Liverpool , Liverpool L69 3GL, UK.
Exp Biol Med (Maywood). 2018 Feb;243(3):291-299. doi: 10.1177/1535370217733425. Epub 2017 Sep 26.
Adverse drug reactions can be caused by a wide range of therapeutics. Adverse drug reactions affect many bodily organ systems and vary widely in severity. Milder adverse drug reactions often resolve quickly following withdrawal of the casual drug or sometimes after dose reduction. Some adverse drug reactions are severe and lead to significant organ/tissue injury which can be fatal. Adverse drug reactions also represent a financial burden to both healthcare providers and the pharmaceutical industry. Thus, a number of stakeholders would benefit from development of new, robust biomarkers for the prediction, diagnosis, and prognostication of adverse drug reactions. There has been significant recent progress in identifying predictive genomic biomarkers with the potential to be used in clinical settings to reduce the burden of adverse drug reactions. These have included biomarkers that can be used to alter drug dose (for example, Thiopurine methyltransferase (TPMT) and azathioprine dose) and drug choice. The latter have in particular included human leukocyte antigen (HLA) biomarkers which identify susceptibility to immune-mediated injuries to major organs such as skin, liver, and bone marrow from a variety of drugs. This review covers both the current state of the art with regard to genomic adverse drug reaction biomarkers. We also review circulating biomarkers that have the potential to be used for both diagnosis and prognosis, and have the added advantage of providing mechanistic information. In the future, we will not be relying on single biomarkers (genomic/non-genomic), but on multiple biomarker panels, integrated through the application of different omics technologies, which will provide information on predisposition, early diagnosis, prognosis, and mechanisms. Impact statement • Genetic and circulating biomarkers present significant opportunities to personalize patient therapy to minimize the risk of adverse drug reactions. ADRs are a significant heath issue and represent a significant burden to patients, healthcare providers, and the pharmaceutical industry. • This review details the current state of the art in biomarkers of ADRs (both genetic and circulating). There is still significant variability in patient response which cannot be explained by current knowledge of genetic risk factors for ADRs; however, we discussed how specific advances in genomics have the potential to yield better and more predictive models. • Many current clinically utilized circulating biomarkers of tissue injury are valid biomarkers for a number of ADRs. However, they often give little insight into the specific cell or tissue subtype which may be affected. Emerging circulating biomarkers with potential to provide greater information on the etiology/pathophysiology of ADRs are described.
药物不良反应可由多种治疗方法引起。药物不良反应会影响许多身体器官系统,严重程度差异很大。轻度药物不良反应通常在停用致病药物后或有时在减少剂量后很快消退。一些药物不良反应很严重,导致重要的器官/组织损伤,可能是致命的。药物不良反应也给医疗保健提供者和制药行业带来了经济负担。因此,许多利益相关者将从开发新的、强大的生物标志物中受益,用于预测、诊断和预测药物不良反应。最近在识别有潜力用于临床环境以减轻药物不良反应负担的预测性基因组生物标志物方面取得了重大进展。其中包括可用于改变药物剂量的生物标志物(例如,硫嘌呤甲基转移酶(TPMT)和巯嘌呤剂量)和药物选择。后者尤其包括人类白细胞抗原(HLA)生物标志物,可识别对各种药物引起的皮肤、肝脏和骨髓等主要器官的免疫介导损伤的易感性。本综述涵盖了基因组药物不良反应生物标志物的最新现状。我们还回顾了具有用于诊断和预后潜力的循环生物标志物,并且具有提供机制信息的额外优势。在未来,我们将不再依赖单一生物标志物(基因组/非基因组),而是依赖多个生物标志物面板,通过应用不同的组学技术进行整合,这将提供易感性、早期诊断、预后和机制的信息。 影响声明 • 遗传和循环生物标志物为个性化患者治疗提供了重要机会,以最大程度地降低药物不良反应的风险。药物不良反应是一个重大的健康问题,给患者、医疗保健提供者和制药行业带来了重大负担。 • 本综述详细介绍了药物不良反应生物标志物(遗传和循环)的最新现状。目前,患者反应的可变性仍然很大,无法用现有的药物不良反应遗传风险因素来解释;然而,我们讨论了基因组学的特定进展如何有可能产生更好和更具预测性的模型。 • 许多目前临床上用于组织损伤的循环生物标志物是许多药物不良反应的有效生物标志物。然而,它们通常很少提供有关可能受影响的特定细胞或组织亚型的信息。描述了具有提供有关药物不良反应病因/发病机制的潜在更大信息的新兴循环生物标志物。