Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2018:109:283-315.
doi: 10.1007/978-3-319-74932-7_7.

Metabolomic-Based Methods in Diagnosis and Monitoring Infection Progression

Miguel Fernández-García  1 , David Rojo  2 , Fernanda Rey-Stolle  2 , Antonia García  2 , Coral Barbas  2
Affiliations
Review

Metabolomic-Based Methods in Diagnosis and Monitoring Infection Progression

Miguel Fernández-García et al. Exp Suppl. 2018.

Abstract

A robust biomarker screening and validation is crucial for overcoming the current limits in the clinical management of infectious diseases. In this chapter, a general workflow for metabolomics is summarized. Subsequently, an overview of the major contributions of this omics science to the field of biomarkers of infectious diseases is discussed. Different approaches using a variety of analytical platforms can be distinguished to unveil the key metabolites for the diagnosis, prognosis, response to treatment and susceptibility for infectious diseases. To allow the implementation of such biomarkers into the clinics, the performance of large-scale studies employing solid validation criteria becomes essential. Focusing on the etiological agents and after an extensive review of the field, we present a comprehensive revision of the main metabolic biomarkers of viral, bacterial, fungal, and parasitic diseases. Finally, we discussed several articles which show the strongest validation criteria. Following these research avenues, precious clinical resources will be revealed, allowing for reduced misdiagnosis, more efficient therapies, and affordable costs, ultimately leading to a better patient management.

Keywords: Biomarker discovery; Biomarkers; Diagnostics; Infectious diseases; Metabolomics.

PubMed Disclaimer

Figures

Fig. 7.1
Fig. 7.1
General scheme showing the major mass fluxes (normal arrows) and molecular interactions (dashed arrows) between the different systems of an organism and its environment
Fig. 7.2
Fig. 7.2
General workflow in a metabolomics experiment for biomarker discovery and validation
Fig. 7.3
Fig. 7.3
Classification of metabolomics experiments in infectious diseases attending to (a) host nature, (b) analytical technique, (c) sample type, and (d) disease under study. Items in pie charts are displayed clockwise
See this image and copyright information in PMC

References

    1. Allegretti JR, Kearney S, Li N, Bogart E, Bullock K, Gerber GK, Bry L, Clish CB, Alm E, Korzenik JR. Recurrent Clostridium difficile infection associates with distinct bile acid and microbiome profiles. Aliment Pharmacol Ther. 2016;43(11):1142–1153. doi: 10.1111/apt.13616. - DOI - PMC - PubMed
    1. Autino B, Corbett Y, Castelli F, Taramelli D (2012) Pathogenesis of malaria in tissues and blood. Mediterr J Hematol Infect Dis. 10.4084/mjhid.2012.061 - PMC - PubMed
    1. Badiee P, Hashemizadeh Z. Opportunistic invasive fungal infections: diagnosis & clinical management. Indian J Med Res. 2014;139(2):195–204. - PMC - PubMed
    1. Bahr NC, Boulware DR. Methods of rapid diagnosis for the etiology of meningitis in adults. Biomark Med. 2014;8(9):1085–1103. doi: 10.2217/bmm.14.67. - DOI - PMC - PubMed
    1. Bedossa P, Poynard T. An algorithm for the grading of activity in chronic hepatitis C. Hepatology. 1996;24(2):289–293. doi: 10.1002/hep.510240201. - DOI - PubMed

LinkOut - more resources