2015年3月在《Trends in pharmacological sciences》(药理学趋势)杂志的一篇文章，介绍了运用系统生物学，以多个非甾体类抗炎药(NSAIDs)为模型，解决药物不良反应(ADR)的问题，特别是过敏反应。对不同疾病过程进行研究，有助于了解这些反应的药物摄入量，症状出现的情况，当然这需要建立高通量数据集。利用系统生物学整合和研究这些数据也是十分必要的。文章对近几年运用系统生物学研究相关疾病如哮喘、过敏，以及非甾体抗炎药的代谢的工作进行综述。同时，作者还介绍了使用数据集在非甾体抗炎药过敏方面的研究实例。文章还介绍了高通量技术方面的突破，并预期这些技术在非甾体抗炎药过敏方面的应用，以及在其他疾病引起病理反应方面的研究。

        Trends Pharmacol Sci. 2015 Mar;36(3):172-80. doi: 10.1016/j.tips.2014.12.003. Epub 2015 Jan 8.

        Unravelling adverse reactions to NSAIDs using systems biology.

        Perkins JR1, Sanak M2, Canto G3, Blanca M4, Cornejo-García JA5.

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        Abstract

        We introduce the reader to systems biology, using adverse drug reactions (ADRs), specifically hypersensitivity reactions to multiple non-steroidal anti-inflammatory drugs (NSAIDs), as a model. To disentangle the different processes that contribute to these reactions - from drug intake to the appearance of symptoms - it will be necessary to create high-throughput datasets. Just as crucial will be the use of systems biology to integrate and make sense of them. We review previous work using systems biology to study related pathologies such as asthma/allergy, and NSAID metabolism. We show examples of their application to NSAIDs-hypersensitivity using current datasets. We describe breakthroughs in high-throughput technology and speculate on their use to improve our understanding of this and other drug-induced pathologies.

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