Infection Biomarkers Based on Metabolomics
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 re...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Metabolites |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2218-1989/12/2/92 |
| _version_ | 1797478138648723456 |
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| author | Rúben Araújo Luís F. N. Bento Tiago A. H. Fonseca Cristiana P. Von Rekowski Bernardo Ribeiro da Cunha Cecília R. C. Calado |
| author_facet | Rúben Araújo Luís F. N. Bento Tiago A. H. Fonseca Cristiana P. Von Rekowski Bernardo Ribeiro da Cunha Cecília R. C. Calado |
| author_sort | Rúben Araújo |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T21:27:43Z |
| format | Article |
| id | doaj.art-917498403a8c4d7285575443634d77d6 |
| institution | Directory Open Access Journal |
| issn | 2218-1989 |
| language | English |
| last_indexed | 2024-03-09T21:27:43Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metabolites |
| spelling | doaj.art-917498403a8c4d7285575443634d77d62023-11-23T21:04:18ZengMDPI AGMetabolites2218-19892022-01-011229210.3390/metabo12020092Infection Biomarkers Based on MetabolomicsRúben Araújo0Luís F. N. Bento1Tiago A. H. Fonseca2Cristiana P. Von Rekowski3Bernardo Ribeiro da Cunha4Cecília R. C. Calado5ISEL—Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, 1959-007 Lisbon, PortugalMedical Urgency Unit, São José Hospital, Centro Hospitalar Universitário de Lisboa Central, 1150-199 Lisbon, PortugalISEL—Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, 1959-007 Lisbon, PortugalISEL—Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, 1959-007 Lisbon, PortugalISEL—Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, 1959-007 Lisbon, PortugalCIMOSM—Centro de Investigação em Modelação e Otimização de Sistemas Multifuncionais, ISEL, 1959-007 Lisbon, PortugalCurrent 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.https://www.mdpi.com/2218-1989/12/2/92infectionmetabolomicsbiomarkersdiagnosisprognosis |
| spellingShingle | Rúben Araújo Luís F. N. Bento Tiago A. H. Fonseca Cristiana P. Von Rekowski Bernardo Ribeiro da Cunha Cecília R. C. Calado Infection Biomarkers Based on Metabolomics Metabolites infection metabolomics biomarkers diagnosis prognosis |
| title | Infection Biomarkers Based on Metabolomics |
| title_full | Infection Biomarkers Based on Metabolomics |
| title_fullStr | Infection Biomarkers Based on Metabolomics |
| title_full_unstemmed | Infection Biomarkers Based on Metabolomics |
| title_short | Infection Biomarkers Based on Metabolomics |
| title_sort | infection biomarkers based on metabolomics |
| topic | infection metabolomics biomarkers diagnosis prognosis |
| url | https://www.mdpi.com/2218-1989/12/2/92 |
| work_keys_str_mv | AT rubenaraujo infectionbiomarkersbasedonmetabolomics AT luisfnbento infectionbiomarkersbasedonmetabolomics AT tiagoahfonseca infectionbiomarkersbasedonmetabolomics AT cristianapvonrekowski infectionbiomarkersbasedonmetabolomics AT bernardoribeirodacunha infectionbiomarkersbasedonmetabolomics AT ceciliarccalado infectionbiomarkersbasedonmetabolomics |