Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
National Chinmedomics Research Center, Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Harbin, China.
Adv Exp Med Biol. 2021;1280:97-113. doi: 10.1007/978-3-030-51652-9_7.
Most microbe-associated infectious diseases severely affect human health. However, clinical diagnosis of pathogenic diseases remains challenging due to the lack of specific and highly reliable methods. To better understand the diagnosis, pathogenesis, and treatment of these diseases, systems biology-driven metabolomics goes beyond the annotated phenotype and better targets the functions than conventional approaches. As a novel strategy for analysis of metabolomes in microbes, microbial metabolomics has been recently used to study many diseases, such as obesity, urinary tract infection (UTI), and hepatitis C. In this chapter, we attempt to introduce various microbial metabolomics methods to better interpret the microbial metabolism underlying a diversity of infectious diseases and inspire scientists to pay more attention to microbial metabolomics, enabling broadly and efficiently its translational applications to infectious diseases, from molecular diagnosis to therapeutic discovery.
大多数微生物相关的传染病严重影响人类健康。然而,由于缺乏特异性和高度可靠的方法,临床诊断致病疾病仍然具有挑战性。为了更好地了解这些疾病的诊断、发病机制和治疗,系统生物学驱动的代谢组学超越了注释表型,比传统方法更能靶向功能。作为分析微生物代谢组的一种新策略,微生物代谢组学最近已被用于研究许多疾病,如肥胖、尿路感染(UTI)和丙型肝炎。在本章中,我们试图介绍各种微生物代谢组学方法,以更好地解释各种传染病下的微生物代谢,并启发科学家更多地关注微生物代谢组学,从而广泛有效地将其转化应用于传染病,从分子诊断到治疗发现。