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从精神分裂症的相互作用组中鉴定出可能具有重新定位用途的药物。

Potentially repurposable drugs for schizophrenia identified from its interactome.

机构信息

Supercomputer Education and Research Centre, Indian Institute of Science, Indian Institute of Science, Bengaluru, India.

Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, USA.

出版信息

Sci Rep. 2019 Sep 3;9(1):12682. doi: 10.1038/s41598-019-48307-w.

Abstract

We previously presented the protein-protein interaction network of schizophrenia associated genes, and from it, the drug-protein interactome which showed the drugs that target any of the proteins in the interactome. Here, we studied these drugs further to identify whether any of them may potentially be repurposable for schizophrenia. In schizophrenia, gene expression has been described as a measurable aspect of the disease reflecting the action of risk genes. We studied each of the drugs from the interactome using the BaseSpace Correlation Engine, and shortlisted those that had a negative correlation with differential gene expression of schizophrenia. This analysis resulted in 12 drugs whose differential gene expression (drug versus normal) had an anti-correlation with differential expression for schizophrenia (disorder versus normal). Some of these drugs were already being tested for their clinical activity in schizophrenia and other neuropsychiatric disorders. Several proteins in the protein interactome of the targets of several of these drugs were associated with various neuropsychiatric disorders. The network of genes with opposite drug-induced versus schizophrenia-associated expression profiles were significantly enriched in pathways relevant to schizophrenia etiology and GWAS genes associated with traits or diseases that had a pathophysiological overlap with schizophrenia. Drugs that targeted the same genes as the shortlisted drugs, have also demonstrated clinical activity in schizophrenia and other related disorders. This integrated computational analysis will help translate insights from the schizophrenia drug-protein interactome to clinical research - an important step, especially in the field of psychiatric drug development which faces a high failure rate.

摘要

我们之前呈现了与精神分裂症相关的基因的蛋白质-蛋白质相互作用网络,从中我们得到了药物-蛋白质相互作用组,该组显示了靶向相互作用组中任何蛋白质的药物。在这里,我们进一步研究了这些药物,以确定它们中是否有任何药物可能被重新用于治疗精神分裂症。在精神分裂症中,基因表达已被描述为疾病的可衡量方面,反映了风险基因的作用。我们使用 BaseSpace 相关引擎研究了相互作用组中的每一种药物,并筛选出与精神分裂症差异基因表达呈负相关的药物。这项分析产生了 12 种药物,这些药物的差异基因表达(药物与正常)与精神分裂症的差异表达(疾病与正常)呈反相关。其中一些药物已经在精神分裂症和其他神经精神疾病中进行了临床活性测试。这些药物的目标的蛋白质相互作用组中的一些蛋白质与各种神经精神疾病有关。与精神分裂症相关的基因表达谱与药物诱导的基因表达谱相反的基因网络在与精神分裂症病因相关的途径以及与具有与精神分裂症病理生理学重叠的特征或疾病相关的 GWAS 基因中显著富集。针对与入选药物相同基因的药物也在精神分裂症和其他相关疾病中表现出了临床活性。这种综合计算分析将有助于将精神分裂症药物-蛋白质相互作用组的见解转化为临床研究,这是一个重要的步骤,特别是在精神药物开发领域,该领域面临着高失败率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f875/6722087/44cc5746b88a/41598_2019_48307_Fig1_HTML.jpg

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