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人工合成基因网络作为代谢紊乱标准药物疗法的替代方案。

Prosthetic gene networks as an alternative to standard pharmacotherapies for metabolic disorders.

作者信息

Heng Boon Chin, Aubel Dominique, Fussenegger Martin

机构信息

Department of Biological Sciences, Sunway University, Bandar Sunway 47500, Selangor Darul Ehsan, Malaysia; Department of Biosystems Science and Engineering (D-BSSE), ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.

IUTA Département Génie Biologique, Université Claude Bernard Lyon 1, Boulevard du 11 Novembre 1918, F-69622 Villeurbanne Cedex, France.

出版信息

Curr Opin Biotechnol. 2015 Dec;35:37-45. doi: 10.1016/j.copbio.2015.01.010. Epub 2015 Feb 11.

DOI:10.1016/j.copbio.2015.01.010
PMID:25679308
Abstract

Synthetic biology makes inroads into clinical therapy with the debut of closed-loop prosthetic gene networks specifically designed to treat human diseases. Prosthetic networks are synthetic sensor/effector devices that could functionally integrate and interface with host metabolism to monitor disease states and coordinate appropriate therapeutic responses in a self-sufficient, timely and automatic manner. Prosthetic networks hold particular promise for the current global epidemic of closely interrelated metabolic disorders encompassing obesity, type 2 diabetes, hypertension and hyperlipidaemia, which arise from the unhealthy lifestyle and dietary factors in the modern urbanised world. This review will critically examine the various attempts at constructing prosthetic gene networks for the treatment of these metabolic disorders, as well as provide insight into future developments in the field.

摘要

随着专门设计用于治疗人类疾病的闭环假体基因网络的首次亮相,合成生物学在临床治疗领域取得了进展。假体网络是合成的传感器/效应器装置,能够在功能上与宿主代谢整合并相互作用,以自我维持、及时且自动的方式监测疾病状态并协调适当的治疗反应。对于当前由现代城市化世界中不健康的生活方式和饮食因素引发的包括肥胖症、2型糖尿病、高血压和高脂血症在内的密切相关的代谢紊乱全球流行情况,假体网络具有特别的前景。本综述将批判性地审视构建用于治疗这些代谢紊乱的假体基因网络的各种尝试,并深入探讨该领域的未来发展。

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