Toro-Domínguez Daniel, Carmona-Sáez Pedro, Alarcón-Riquelme Marta E
Area of Medical Genomics, Pfizer-University of Granada-Andalusian Government Centre for Genomics and Oncological Research (GENYO), Avda. de la Ilustración 114, PTS-18016, Granada, Spain.
Bioinformatics Unit, Pfizer-University of Granada-Andalusian Government Centre of Genomics and Oncological Research (GENYO), Avda. de la Ilustración 114, PTS-18016, Granada, Spain.
Arthritis Res Ther. 2017 Mar 11;19(1):54. doi: 10.1186/s13075-017-1263-7.
Systemic lupus erythematosus (SLE) is an autoimmune disease with few treatment options. Current therapies are not fully effective and show highly variable responses. In this regard, large efforts have focused on developing more effective therapeutic strategies. Drug repurposing based on the comparison of gene expression signatures is an effective technique for the identification of new therapeutic approaches. Here we present a drug-repurposing exploratory analysis using gene expression signatures from SLE patients to discover potential new drug candidates and target genes.
We collected a compendium of gene expression signatures comprising peripheral blood cells and different separate blood cell types from SLE patients. The Lincscloud database was mined to link SLE signatures with drugs, gene knock-down, and knock-in expression signatures. The derived dataset was analyzed in order to identify compounds, genes, and pathways that were significantly correlated with SLE gene expression signatures.
We obtained a list of drugs that showed an inverse correlation with SLE gene expression signatures as well as a set of potential target genes and their associated biological pathways. The list includes drugs never or little studied in the context of SLE treatment, as well as recently studied compounds.
Our exploratory analysis provides evidence that phosphoinositol 3 kinase and mammalian target of rapamycin (mTOR) inhibitors could be potential therapeutic options in SLE worth further future testing.
系统性红斑狼疮(SLE)是一种治疗选择有限的自身免疫性疾病。目前的治疗方法并不完全有效,且反应差异很大。在这方面,人们付出了巨大努力来开发更有效的治疗策略。基于基因表达特征比较的药物再利用是一种识别新治疗方法的有效技术。在此,我们展示了一项药物再利用探索性分析,利用SLE患者的基因表达特征来发现潜在的新候选药物和靶基因。
我们收集了一份基因表达特征汇编,包括SLE患者的外周血细胞和不同的单独血细胞类型。挖掘Lincscloud数据库,将SLE特征与药物、基因敲低和基因敲入表达特征联系起来。对导出的数据集进行分析,以识别与SLE基因表达特征显著相关的化合物、基因和通路。
我们获得了一份与SLE基因表达特征呈负相关的药物清单,以及一组潜在的靶基因及其相关的生物学通路。该清单包括在SLE治疗背景下从未或很少研究过的药物,以及最近研究的化合物。
我们的探索性分析提供了证据,表明磷酸肌醇3激酶和雷帕霉素哺乳动物靶标(mTOR)抑制剂可能是SLE中值得进一步测试的潜在治疗选择。