4.6 Article

Infection Biomarkers Based on Metabolomics

期刊

METABOLITES
卷 12, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/metabo12020092

关键词

infection; metabolomics; biomarkers; diagnosis; prognosis

资金

  1. Fundacao para a Ciencia e a Tecnologia, Portugal [DSAIPA/DS/0117/2020]
  2. Instituto Politecnico de Lisboa [NeproMD/ISEL/2020]
  3. Fundação para a Ciência e a Tecnologia [DSAIPA/DS/0117/2020] Funding Source: FCT

向作者/读者索取更多资源

Current infection biomarkers have limitations in predicting infection and disease outcomes, and have limited applications. Therefore, it is crucial to discover new and effective clinical infection biomarkers that can help physicians better manage patients, reduce severe outcomes, personalize therapies, minimize antibiotics overuse and hospitalization time, and significantly improve patient survival. Metabolomics provides a promising strategy to discover these biomarkers by directly examining the functional metabolic outcomes.
Current infection biomarkers are highly limited since they have low capability to predict infection in the presence of confounding processes such as in non-infectious inflammatory processes, low capability to predict disease outcomes and have limited applications to guide and evaluate therapeutic regimes. Therefore, it is critical to discover and develop new and effective clinical infection biomarkers, especially applicable in patients at risk of developing severe illness and critically ill patients. Ideal biomarkers would effectively help physicians with better patient management, leading to a decrease of severe outcomes, personalize therapies, minimize antibiotics overuse and hospitalization time, and significantly improve patient survival. Metabolomics, by providing a direct insight into the functional metabolic outcome of an organism, presents a highly appealing strategy to discover these biomarkers. The present work reviews the desired main characteristics of infection biomarkers, the main metabolomics strategies to discover these biomarkers and the next steps for developing the area towards effective clinical biomarkers.

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