Cargando…
Metabolomic-Based Methods in Diagnosis and Monitoring Infection Progression
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 b...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7124096/ https://www.ncbi.nlm.nih.gov/pubmed/30535603 http://dx.doi.org/10.1007/978-3-319-74932-7_7 |
_version_ | 1783515781012652032 |
---|---|
author | Fernández-García, Miguel Rojo, David Rey-Stolle, Fernanda García, Antonia Barbas, Coral |
author_facet | Fernández-García, Miguel Rojo, David Rey-Stolle, Fernanda García, Antonia Barbas, Coral |
author_sort | Fernández-García, Miguel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7124096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71240962020-04-06 Metabolomic-Based Methods in Diagnosis and Monitoring Infection Progression Fernández-García, Miguel Rojo, David Rey-Stolle, Fernanda García, Antonia Barbas, Coral Metabolic Interaction in Infection Article 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. 2018-01-02 /pmc/articles/PMC7124096/ /pubmed/30535603 http://dx.doi.org/10.1007/978-3-319-74932-7_7 Text en © Springer International Publishing AG, part of Springer Nature 2018 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Fernández-García, Miguel Rojo, David Rey-Stolle, Fernanda García, Antonia Barbas, Coral Metabolomic-Based Methods in Diagnosis and Monitoring Infection Progression |
title | Metabolomic-Based Methods in Diagnosis and Monitoring Infection Progression |
title_full | Metabolomic-Based Methods in Diagnosis and Monitoring Infection Progression |
title_fullStr | Metabolomic-Based Methods in Diagnosis and Monitoring Infection Progression |
title_full_unstemmed | Metabolomic-Based Methods in Diagnosis and Monitoring Infection Progression |
title_short | Metabolomic-Based Methods in Diagnosis and Monitoring Infection Progression |
title_sort | metabolomic-based methods in diagnosis and monitoring infection progression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7124096/ https://www.ncbi.nlm.nih.gov/pubmed/30535603 http://dx.doi.org/10.1007/978-3-319-74932-7_7 |
work_keys_str_mv | AT fernandezgarciamiguel metabolomicbasedmethodsindiagnosisandmonitoringinfectionprogression AT rojodavid metabolomicbasedmethodsindiagnosisandmonitoringinfectionprogression AT reystollefernanda metabolomicbasedmethodsindiagnosisandmonitoringinfectionprogression AT garciaantonia metabolomicbasedmethodsindiagnosisandmonitoringinfectionprogression AT barbascoral metabolomicbasedmethodsindiagnosisandmonitoringinfectionprogression |