Calafato Maria Stella, Austin-Zimmerman Isabelle, Thygesen Johan H, Sairam Mani, Metastasio Antonio, Marston Louise, Abad-Santos Francisco, Bhat Anjali, Harju-Seppänen Jasmine, Irizar Haritz, Zartaloudi Eirini, Bramon Elvira
Mental Health Neuroscience Research Department, Division of Psychiatry, University College London, London, UK.
Institute of Health Informatics, University College London, London, UK.
Pharmacogenomics J. 2020 Oct;20(5):629-637. doi: 10.1038/s41397-019-0142-9. Epub 2020 Feb 4.
Hyperprolactinemia is a known adverse drug reaction to antipsychotic treatment. Antipsychotic blood levels are influenced by cytochrome P450 enzymes, primarily CYP2D6. Variation in CYP450 genes may affect the risk of antipsychotic-induced hyperprolactinemia. We undertook a systematic review and meta-analysis to assess whether CYP2D6 functional genetic variants are associated with antipsychotic-induced hyperprolactinemia. The systematic review identified 16 relevant papers, seven of which were suitable for the meta-analysis (n = 303 participants including 134 extreme metabolisers). Participants were classified into four phenotype groups as poor, intermediate, extensive, and ultra-rapid metabolisers. A random effects meta-analysis was used and Cohen's d calculated as the effect size for each primary study. We found no significant differences in prolactin levels between CYP2D6 metabolic groups. Current evidence does not support using CYP2D6 genotyping to reduce risk of antipsychotic-induced hyperprolactinemia. However, statistical power is limited. Future studies with larger samples and including a range of prolactin-elevating drugs are needed.
高催乳素血症是抗精神病药物治疗已知的不良反应。抗精神病药物的血药浓度受细胞色素P450酶影响,主要是CYP2D6。CYP450基因的变异可能影响抗精神病药物所致高催乳素血症的风险。我们进行了一项系统评价和荟萃分析,以评估CYP2D6功能基因变异是否与抗精神病药物所致高催乳素血症相关。该系统评价共纳入16篇相关论文,其中7篇适合进行荟萃分析(n = 303名参与者,包括134名超快代谢者)。参与者被分为四个表型组,即慢代谢者、中间代谢者、快代谢者和超快代谢者。采用随机效应荟萃分析,并计算Cohen's d作为每项主要研究的效应量。我们发现CYP2D6代谢组之间的催乳素水平无显著差异。目前的证据不支持使用CYP2D6基因分型来降低抗精神病药物所致高催乳素血症的风险。然而,统计效能有限。未来需要开展更大样本量且纳入一系列能升高催乳素药物的研究。