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Related Experiment Video

Updated: Nov 10, 2025

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Microbial Metabolomics: From Methods to Translational Applications.

Rui Guo1, Xialin Luo1, Xu Xin1,2

  • 1Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.

Advances in Experimental Medicine and Biology
|April 1, 2021
PubMed
Summary
This summary is machine-generated.

Microbial metabolomics offers a novel approach to understanding infectious diseases by analyzing microbial metabolism. This method aids in diagnosing, understanding pathogenesis, and discovering treatments for various microbial infections.

Keywords:
Infectious diseasesMass spectrometryMethod developmentMicrobial metabolomicsTranslational applications

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Area of Science:

  • Microbiology
  • Systems Biology
  • Metabolomics

Background:

  • Infectious diseases caused by microbes significantly impact human health.
  • Current diagnostic methods for pathogenic diseases lack specificity and reliability.
  • Systems biology-driven metabolomics provides functional insights beyond traditional phenotypic analysis.

Purpose of the Study:

  • To introduce microbial metabolomics methods for interpreting microbial metabolism in infectious diseases.
  • To highlight the potential of microbial metabolomics in understanding disease diagnosis, pathogenesis, and treatment.
  • To encourage broader adoption and translational application of microbial metabolomics in infectious disease research.

Main Methods:

  • Analysis of microbial metabolomes.
  • Application of systems biology approaches.
  • Review of various microbial metabolomics techniques.

Main Results:

  • Microbial metabolomics has been successfully applied to study diseases like obesity, urinary tract infection (UTI), and hepatitis C.
  • This approach offers a deeper understanding of microbial metabolism.
  • It facilitates the interpretation of microbial functions in disease contexts.

Conclusions:

  • Microbial metabolomics is a powerful strategy for analyzing microbial metabolism.
  • It holds significant promise for advancing the molecular diagnosis of infectious diseases.
  • It can accelerate the discovery of novel therapeutic targets and treatments for microbial infections.