Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; Department of Biomedical and NeuroMotor Sciences, University of Bologna, Italy.
Department of Psychiatry and Psychotherapy, Medical University Vienna, Austria.
Prog Neuropsychopharmacol Biol Psychiatry. 2021 Jan 10;104:110050. doi: 10.1016/j.pnpbp.2020.110050. Epub 2020 Jul 30.
About 20-30% of patients with major depressive disorder (MDD) develop treatment-resistant depression (TRD) and finding new effective treatments for TRD has been a challenge. This study aimed to identify new possible pharmacological options for TRD. Genes in pathways included in predictive models of TRD in a previous whole exome sequence study were compared with those coding for targets of drugs in any phase of development, nutraceuticals, proteins and peptides from Drug repurposing Hub, Drug-Gene Interaction database and DrugBank database. We tested if known gene targets were enriched in TRD-associated genes by a hypergeometric test. Compounds enriched in TRD-associated genes after false-discovery rate (FDR) correction were annotated and compared with those showing enrichment in genes associated with MDD in the last Psychiatric Genomics Consortium genome-wide association study. Among a total of 15,475 compounds, 542 were enriched in TRD-associated genes (FDR p < .05). Significant results included drugs which are currently used in TRD (e.g. lithium and ketamine), confirming the rationale of this approach. Interesting molecules included modulators of inflammation, renin-angiotensin system, proliferator-activated receptor agonists, glycogen synthase kinase 3 beta inhibitors and the rho associated kinase inhibitor fasudil. Nutraceuticals, mostly antioxidant polyphenols, were also identified. Drugs showing enrichment for TRD-associated genes had a higher probability of enrichment for MDD-associated genes compared to those having no TRD-genes enrichment (p = 6.21e-55). This study suggested new potential treatments for TRD using a in silico approach. These analyses are exploratory only but can contribute to the identification of drugs to study in future clinical trials.
大约 20-30%的重性抑郁障碍(MDD)患者发展为难治性抑郁(TRD),寻找新的有效治疗 TRD 的方法一直是一个挑战。本研究旨在为 TRD 确定新的可能的药物治疗选择。与任何开发阶段的药物、营养保健品、药物再利用中心的蛋白质和肽、药物-基因相互作用数据库和 DrugBank 数据库的靶点编码基因进行比较,这些基因在之前的全外显子组序列研究中纳入了 TRD 预测模型。我们通过超几何检验测试已知的基因靶点是否在 TRD 相关基因中富集。经错误发现率(FDR)校正后在 TRD 相关基因中富集的化合物进行注释,并与最后一次精神疾病基因组协会全基因组关联研究中与 MDD 相关的基因富集的化合物进行比较。在总共 15475 种化合物中,有 542 种在 TRD 相关基因中富集(FDR p <.05)。显著结果包括目前用于 TRD 的药物(例如锂和氯胺酮),证实了这种方法的合理性。有趣的分子包括炎症调节剂、肾素-血管紧张素系统、增殖剂激活受体激动剂、糖原合成酶激酶 3β抑制剂和 rho 相关激酶抑制剂 fasudil。还确定了营养保健品,主要是抗氧化多酚。与没有 TRD 基因富集的药物相比,显示 TRD 相关基因富集的药物更有可能与 MDD 相关基因富集(p = 6.21e-55)。本研究使用计算机方法为 TRD 提出了新的潜在治疗方法。这些分析仅是探索性的,但可以有助于确定未来临床试验中要研究的药物。