Faculty of Sciences and Technology, University of Algarve, Universidade Do Algarve - Campus de Gambelas, Edifício 8, 8005-139, Faro, Portugal.
CHRC - Comprehensive Health Research Centre, University of Evora, Largo do Sr. da Pobreza, 2B, 7000-811, Évora, Portugal.
BMC Psychiatry. 2022 Aug 30;22(1):576. doi: 10.1186/s12888-022-04225-2.
The main goal of this work was to identify, describe, characterize, and classify the scientific evidence regarding the use of pharmacogenomic biomarkers in antidepressant treatment.
The work was developed in two phases: i) a search for pharmacogenomic biomarkers in summaries of antidepressant drugs with marketing authorization in Portugal; and ii) a systematic literature review based on the data obtained in the first phase, with the main objective of finding international literature that could describe and characterize previously reported biomarkers and identify other relevant biomarkers. Finally, the levels of evidence and recommendation grades were classified.
Among the 26 drugs with marketing authorization in Portugal, only 16 had pharmacogenomic information. The most widely studied pharmacogenomic biomarker was CYP2D6. These results were mostly supported by the systematic literature review, which yielded 103 papers, 63 of which were ultimately included in the review. The systematic literature review also revealed the existence of other relevant biomarkers. Most of the included studies show a good level of evidence, which guarantees reliability and good recommendation grades. For the database (built during phase i), the results were informative but resulted in no specific recommendations.
Most pharmacogenomic variants are not studied or acknowledged by genetic tests, and more scientific research is needed to confirm their usefulness. Therefore, only a small number of variants are considered when prescribing antidepressant drugs. In addition, genotyping of patients is not common in clinical practice.
本研究的主要目的是识别、描述、表征和分类有关抗抑郁药物治疗中使用药物基因组生物标志物的科学证据。
这项工作分为两个阶段进行:i)在葡萄牙获得市场授权的抗抑郁药物摘要中搜索药物基因组生物标志物;ii)基于第一阶段获得的数据进行系统文献综述,主要目的是寻找能够描述和表征先前报道的生物标志物并确定其他相关生物标志物的国际文献。最后,对证据水平和推荐等级进行分类。
在葡萄牙获得市场授权的 26 种药物中,只有 16 种具有药物基因组信息。研究最多的药物基因组生物标志物是 CYP2D6。这些结果主要得到了系统文献综述的支持,共检索到 103 篇文献,其中最终纳入了 63 篇。系统文献综述还揭示了其他相关生物标志物的存在。纳入的研究大多具有较高的证据水平,这保证了其可靠性和良好的推荐等级。对于数据库(在第一阶段建立),结果具有信息性,但没有产生具体的建议。
大多数药物基因组变体未被遗传检测研究或认可,需要更多的科学研究来确认其有用性。因此,在开具抗抑郁药物处方时只考虑少数几个变体。此外,患者的基因分型在临床实践中并不常见。