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治疗抵抗性抑郁症的遗传学:批判性评价与未来展望。

The Genetics of Treatment-Resistant Depression: A Critical Review and Future Perspectives.

机构信息

Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.

Université Libre de Bruxelles and Psy Pluriel Centre Europèen de Psychologie Medicale, Brussels, Belgium.

出版信息

Int J Neuropsychopharmacol. 2019 Feb 1;22(2):93-104. doi: 10.1093/ijnp/pyy024.

Abstract

BACKGROUND

One-third of depressed patients develop treatment-resistant depression with the related sequelae in terms of poor functionality and worse prognosis. Solid evidence suggests that genetic variants are potentially valid predictors of antidepressant efficacy and could be used to provide personalized treatments.

METHODS

The present review summarizes genetic findings of treatment-resistant depression including results from candidate gene studies and genome-wide association studies. The limitations of these approaches are discussed, and suggestions to improve the design of future studies are provided.

RESULTS

Most studies used the candidate gene approach, and few genes showed replicated associations with treatment-resistant depression and/or evidence obtained through complementary approaches (e.g., gene expression studies). These genes included GRIK4, BDNF, SLC6A4, and KCNK2, but confirmatory evidence in large cohorts was often lacking. Genome-wide association studies did not identify any genome-wide significant association at variant level, but pathways including genes modulating actin cytoskeleton, neural plasticity, and neurogenesis may be associated with treatment-resistant depression, in line with results obtained by genome-wide association studies of antidepressant response. The improvement of aggregated tests (e.g., polygenic risk scores), possibly using variant/gene prioritization criteria, the increase in the covering of genetic variants, and the incorporation of clinical-demographic predictors of treatment-resistant depression are proposed as possible strategies to improve future pharmacogenomic studies.

CONCLUSIONS

Genetic biomarkers to identify patients with higher risk of treatment-resistant depression or to guide treatment in these patients are not available yet. Methodological improvements of future studies could lead to the identification of genetic biomarkers with clinical validity.

摘要

背景

三分之一的抑郁症患者会发展为治疗抵抗性抑郁症,从而导致功能受损和预后恶化等相关后果。确凿的证据表明,遗传变异可能是抗抑郁疗效的有效预测指标,并可用于提供个体化治疗。

方法

本综述总结了治疗抵抗性抑郁症的遗传发现,包括候选基因研究和全基因组关联研究的结果。讨论了这些方法的局限性,并提出了改进未来研究设计的建议。

结果

大多数研究采用候选基因方法,少数基因与治疗抵抗性抑郁症具有重复关联,并且通过互补方法(例如基因表达研究)获得了证据。这些基因包括 GRIK4、BDNF、SLC6A4 和 KCNK2,但在大样本中通常缺乏确证性证据。全基因组关联研究未在变异水平上发现任何全基因组显著关联,但包括调节肌动蛋白细胞骨架、神经可塑性和神经发生的基因在内的途径可能与治疗抵抗性抑郁症相关,这与抗抑郁反应的全基因组关联研究结果一致。聚合测试(例如多基因风险评分)的改进,可能使用变异/基因优先级标准,增加遗传变异的覆盖范围,并纳入治疗抵抗性抑郁症的临床 - 人口统计学预测因子,被提议作为改善未来药物基因组学研究的可能策略。

结论

目前尚无用于识别治疗抵抗性抑郁症风险较高的患者或指导这些患者治疗的遗传生物标志物。未来研究方法的改进可能会导致具有临床有效性的遗传生物标志物的识别。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025a/6368368/e6086a5d56ad/pyy02401.jpg

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