利用分子网络分析进行药物再利用,发现Jak是坏死性类脂质病的靶向驱动因子

Alysia N. Hughes , Xing Li , Julia S. Lehman , Steven A. Nelson , David J. DiCaudo , Rekha Mudappathi , Angelina Hwang , Jacob Kechter , Mark R. Pittelkow , Aaron R. Mangold , Aleksandar Sekulic
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引用次数: 0

摘要

药物再利用是一种极具吸引力的治疗开发策略,尤其是在罕见病领域,由于成本高、患者数量少,传统的药物开发方法可能具有挑战性。在本研究中,我们使用了药物鉴定和再利用管道,通过结合使用开放存取资源和转录组学数据进行因果推理,确定候选的可靶向疾病驱动因素和相应疗法。我们以银屑病为疾病模型优化了我们的方法,展示了识别银屑病已知和迄今尚未识别的分子驱动因素并将其与当前和新兴疗法联系起来的能力。将我们的方法应用于一组类脂膜坏死病(一种无关、罕见、迄今为止分子特征不明显的皮肤炎症性疾病)的组织样本,发现了一组独特的上游调控因子,特别强调了 IFNG 和 Jak 信号转导和激活转录途径的作用,认为它们可能是疾病发病机制的驱动因素,并将其与作为潜在疗法的 Jak 抑制剂联系起来。对一组独立的类脂样坏死病样本的分析验证了这些发现,与药物匹配的上游调节因子的总体一致性超过了96%。这些数据凸显了我们的方法在罕见病中的实用性,并为皮肤病学和其他罕见病的药物发现提供了机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drug Repurposing Using Molecular Network Analysis Identifies Jak as Targetable Driver in Necrobiosis Lipoidica
Drug repurposing is an attractive strategy for therapy development, particularly in rare diseases where traditional drug development approaches may be challenging owing to high cost and small numbers of patients. In this study, we used a drug identification and repurposing pipeline to identify candidate targetable drivers of disease and corresponding therapies through application of causal reasoning using a combination of open-access resources and transcriptomics data. We optimized our approach on psoriasis as a disease model, demonstrating the ability to identify known and, to date, unrecognized molecular drivers of psoriasis and link them to current and emerging therapies. Application of our approach to a cohort of tissue samples of necrobiosis lipoidica (an unrelated; rare; and, to date, molecularly poorly characterized cutaneous inflammatory disorder) identified a unique set of upstream regulators, particularly highlighting the role of IFNG and the Jak–signal transducer and activator of transcription pathway as a likely driver of disease pathogenesis and linked it to Jak inhibitors as potential therapy. Analysis of an independent cohort of necrobiosis lipoidica samples validated these findings, with the overall agreement of drug-matched upstream regulators above 96%. These data highlight the utility of our approach in rare diseases and offer an opportunity for drug discovery in other rare diseases in dermatology and beyond.
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