Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22903, USA.
Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22903, USA; Department of Medicine, Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22903, USA.
Curr Opin Biotechnol. 2018 Jun;51:70-79. doi: 10.1016/j.copbio.2017.11.014. Epub 2017 Dec 7.
The growing global threat of antibiotic resistant human pathogens has coincided with improved methods for developing and using genome-scale metabolic network reconstructions. Consequently, there has been an increase in the number of high-quality reconstructions of relevant human and zoonotic pathogens. Novel biomedical applications of pathogen reconstructions focus on three key aspects of pathogen behavior: the evolution of antibiotic resistance, virulence factor production, and host-pathogen interactions. New methods using these reconstructions aim to improve understanding of microbe pathogenicity and guide the development of new therapeutic strategies. This review summarizes the latest ways that genome-scale metabolic network reconstructions have been used to study human pathogens and suggests future applications with the potential to mitigate infectious disease.
不断增长的全球抗生素耐药性人类病原体威胁与开发和使用基因组规模代谢网络重建方法的改进同时发生。因此,相关人类和人畜共患病病原体的高质量重建数量有所增加。病原体重建的新型生物医学应用集中在病原体行为的三个关键方面:抗生素耐药性的演变、毒力因子的产生和宿主-病原体相互作用。使用这些重建的新方法旨在提高对微生物致病性的理解,并指导新治疗策略的开发。这篇综述总结了使用基因组规模代谢网络重建研究人类病原体的最新方法,并提出了具有减轻传染病潜力的未来应用。