Cuéllar-Barboza Alfredo B, McElroy Susan L, Veldic Marin, Singh Balwinder, Kung Simon, Romo-Nava Francisco, Nunez Nicolas A, Cabello-Arreola Alejandra, Coombes Brandon J, Prieto Miguel, Betcher Hannah K, Moore Katherine M, Winham Stacey J, Biernacka Joanna M, Frye Mark A
Department of Psychiatry, University Hospital, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico.
Department of Psychiatry and Psychology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Int J Bipolar Disord. 2020 Jul 4;8(1):23. doi: 10.1186/s40345-020-00184-3.
Treatment in bipolar disorder (BD) is commonly applied as a multimodal therapy based on decision algorithms that lack an integrative understanding of molecular mechanisms or a biomarker associated clinical outcome measure. Pharmacogenetics/genomics study the individual genetic variation associated with drug response. This selective review of pharmacogenomics and pharmacogenomic testing (PGT) in BD will focus on candidate genes and genome wide association studies of pharmacokinetic drug metabolism and pharmacodynamic drug response/adverse event, and the potential role of decision support tools that incorporate multiple genotype/phenotype drug recommendations.
We searched PubMed from January 2013 to May 2019, to identify studies reporting on BD and pharmacogenetics, pharmacogenomics and PGT. Studies were selected considering their contribution to the field. We summarize our findings in: targeted candidate genes of pharmacokinetic and pharmacodynamic pathways, genome-wide association studies and, PGT platforms, related to BD treatment. This field has grown from studies of metabolizing enzymes (i.e., pharmacokinetics) and drug transporters (i.e., pharmacodynamics), to untargeted investigations across the entire genome with the potential to merge genomic data with additional biological information.
The complexity of BD genetics and, the heterogeneity in BD drug-related phenotypes, are important considerations for the design and interpretation of BD PGT. The clinical applicability of PGT in psychiatry is in its infancy and is far from reaching the robust impact it has in other medical disciplines. Nonetheless, promising findings are discovered with increasing frequency with remarkable relevance in neuroscience, pharmacology and biology.
双相情感障碍(BD)的治疗通常采用基于决策算法的多模式疗法,这些算法缺乏对分子机制或与临床结局相关的生物标志物的综合理解。药物遗传学/基因组学研究与药物反应相关的个体遗传变异。本对BD中药物基因组学和药物基因组检测(PGT)的选择性综述将聚焦于药物代谢动力学和药物效应动力学药物反应/不良事件的候选基因和全基因组关联研究,以及纳入多种基因型/表型药物推荐的决策支持工具的潜在作用。
我们检索了2013年1月至2019年5月期间的PubMed,以识别报告BD与药物遗传学、药物基因组学和PGT的研究。根据研究对该领域的贡献来选择研究。我们将研究结果总结如下:与BD治疗相关的药物代谢动力学和药物效应动力学途径的靶向候选基因、全基因组关联研究以及PGT平台。该领域已从对代谢酶(即药物代谢动力学)和药物转运体(即药物效应动力学)的研究发展到对整个基因组的非靶向研究,有可能将基因组数据与其他生物学信息合并。
BD遗传学的复杂性以及BD药物相关表型的异质性,是BD PGT设计和解释的重要考虑因素。PGT在精神病学中的临床应用尚处于起步阶段,远未达到其在其他医学学科中所具有的强大影响力。尽管如此,越来越频繁地发现了有前景的研究结果,在神经科学、药理学和生物学方面具有显著的相关性。