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通过基于网络的分析探索药物不良反应和疾病表型的共同机制。

Exploring common mechanisms of adverse drug reactions and disease phenotypes through network-based analysis.

作者信息

Firoozbakht Farzaneh, Elkjaer Maria Louise, Handy Diane E, Wang Rui-Sheng, Chervontseva Zoe, Rarey Matthias, Loscalzo Joseph, Baumbach Jan, Tsoy Olga

机构信息

Institute for Computational Systems Biology, University of Hamburg, Albert-Einstein-Ring 8-10, 22761 Hamburg, Germany.

Institute for Computational Systems Biology, University of Hamburg, Albert-Einstein-Ring 8-10, 22761 Hamburg, Germany.

出版信息

Cell Rep Methods. 2025 Feb 24;5(2):100990. doi: 10.1016/j.crmeth.2025.100990. Epub 2025 Feb 14.

Abstract

The need for a deeper understanding of adverse drug reaction (ADR) mechanisms is vital for improving drug safety and repurposing. This study introduces Drug Adverse Reaction Mechanism Explainer (DREAMER), a network-based framework that uses a comprehensive knowledge graph to uncover molecular mechanisms underlying ADRs and disease phenotypes. By examining shared phenotypes of drugs and diseases and their effects on protein-protein interaction networks, DREAMER identifies proteins linked to ADR mechanisms. Applied to 649 ADRs, DREAMER identified molecular mechanisms for 67 ADRs, including ventricular arrhythmia and metabolic acidosis, and emphasized pathways like GABAergic signaling and coagulation proteins in personality disorders and intracranial hemorrhage. We further demonstrate the application of DREAMER in drug repurposing and propose sotalol, ranolazine, and diltiazem as candidate drugs to be repurposed for cardiac arrest. In summary, DREAMER effectively detects molecular mechanisms underlying phenotypes, emphasizing the importance of network-based analyses with integrative data for enhancing drug safety and accelerating the discovery of novel therapeutic strategies.

摘要

深入理解药物不良反应(ADR)机制对于提高药物安全性和药物重新定位至关重要。本研究介绍了药物不良反应机制解释器(DREAMER),这是一个基于网络的框架,它使用全面的知识图谱来揭示ADR和疾病表型背后的分子机制。通过检查药物和疾病的共享表型及其对蛋白质-蛋白质相互作用网络的影响,DREAMER识别出与ADR机制相关的蛋白质。应用于649种ADR时,DREAMER识别出67种ADR的分子机制,包括室性心律失常和代谢性酸中毒,并强调了人格障碍和颅内出血中γ-氨基丁酸能信号传导和凝血蛋白等途径。我们进一步展示了DREAMER在药物重新定位中的应用,并提出索他洛尔、雷诺嗪和地尔硫䓬作为可重新用于心脏骤停的候选药物。总之,DREAMER有效地检测了表型背后的分子机制,强调了基于网络的分析与综合数据对于提高药物安全性和加速新型治疗策略发现的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/511a/11955268/bf55212adea5/fx1.jpg

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