Matic Maja, de Wildt Saskia N, Tibboel Dick, van Schaik Ron H N
Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, the Netherlands.
Intensive Care and Department of Pediatric Surgery, Erasmus University Medical Center-Sophia Children Hospital, Rotterdam, the Netherlands.
Clin Chem. 2017 Jul;63(7):1204-1213. doi: 10.1373/clinchem.2016.264986.
The use of opioids to alleviate pain is complicated by the risk of severe adverse events and the large variability in dose requirements. Pharmacogenetics (PGx) could possibly be used to tailor pain medication based on an individual's genetic background. Many potential genetic markers have been described, and the importance of genetic predisposition in opioid efficacy and toxicity has been demonstrated in knockout mouse models and human twin studies. Such predictors are especially of value for neonates and young children, in whom the assessment of efficacy or side effects is complicated by the inability of the patient to communicate this properly. The current problem is determining which of the many potential candidates to focus on for clinical implementation.
We systematically searched publications on PGx for opioids in 5 databases, aiming to identify PGx markers with sufficient robust data and high enough occurrence for potential clinical application. The initial search yielded 4257 unique citations, eventually resulting in 852 relevant articles covering 24 genes. From these genes, we evaluated the evidence and selected the most promising 10 markers: cytochrome P450 family 2 subfamily D member 6 (), cytochrome P450 family 3 subfamily A member 4 (), cytochrome P450 family 3 subfamily A member 5 (), UDP glucuronosyltransferase family 2 member B7 (), ATP binding cassette subfamily B member 1 (), ATP binding cassette subfamily C member 3 (), solute carrier family 22 member 1 (), opioid receptor kappa 1 (), catechol--methyltransferase (), and potassium voltage-gated channel subfamily J member 6 (). Treatment guidelines based on genotype are already available only for .
The application of PGx in the management of pain with opioids has the potential to improve therapy. We provide a shortlist of 10 genes that are the most promising markers for clinical use in this context.
使用阿片类药物缓解疼痛因严重不良事件风险和剂量需求的巨大差异而变得复杂。药物遗传学(PGx)可能用于根据个体的遗传背景定制疼痛药物。已经描述了许多潜在的遗传标记,并且在基因敲除小鼠模型和人类双胞胎研究中已经证明了遗传易感性在阿片类药物疗效和毒性中的重要性。此类预测指标对新生儿和幼儿尤其有价值,因为患者无法恰当表达,使得疗效或副作用的评估变得复杂。当前的问题是确定众多潜在候选指标中哪些应重点关注以便临床应用。
我们系统检索了5个数据库中关于阿片类药物PGx的出版物,旨在识别具有足够可靠数据和足够高出现频率以用于潜在临床应用的PGx标记。初步检索产生了4257条独特的引用,最终得到852篇涵盖24个基因的相关文章。从这些基因中,我们评估了证据并选择了最有前景的10个标记:细胞色素P450 2D6()、细胞色素P450 3A4()、细胞色素P450 3A5()、尿苷二磷酸葡萄糖醛酸基转移酶2B7()、ATP结合盒转运体B1()、ATP结合盒转运体C3()、溶质载体家族22成员1()、阿片受体κ1()、儿茶酚-O-甲基转移酶()和钾电压门控通道亚家族J成员6()。目前仅针对已有基于基因型的治疗指南。
PGx在阿片类药物疼痛管理中的应用有可能改善治疗。我们提供了一份包含10个基因的候选清单,这些基因是在此背景下最有前景的临床应用标记。