| Literature DB >> 33791977 |
Rui Guo1, Xialin Luo1, Xu Xin1,2, Lian Liu3, Xijun Wang2, Haitao Lu4.
Abstract
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.Entities:
Keywords: Infectious diseases; Mass spectrometry; Method development; Microbial metabolomics; Translational applications
Mesh:
Year: 2021 PMID: 33791977 DOI: 10.1007/978-3-030-51652-9_7
Source DB: PubMed Journal: Adv Exp Med Biol ISSN: 0065-2598 Impact factor: 2.622