Patient stratification in sepsis: Using metabolomics to detect clinical phenotypes, sub-phenotypes and therapeutic response
File(s)
Published version
Author(s)
Hussain, Humma
Vutipongsatorn, Kritchai
Jimenez, Beatriz
Antcliffe, David
Type
Journal Article
Abstract
Infections are common and need minimal treatment; however, occasionally, due to inappropriate immune response, they can develop into a life-threatening condition known as sepsis. Sepsis is a global concern with high morbidity and mortality. There has been little advancement in the treatment of sepsis, outside of antibiotics and supportive measures. Some of the difficulty in identifying novel therapies is the heterogeneity of the condition. Metabolic phenotyping has great potential for gaining understanding of this heterogeneity and how the metabolic fingerprints of patients with sepsis differ based on survival, organ dysfunction, disease severity, type of infection, treatment or causative organism. Moreover, metabolomics offers potential for patient stratification as metabolic profiles obtained from analytical platforms can reflect human individuality and phenotypic variation. This article reviews the most relevant metabolomic studies in sepsis and aims to provide an overview of the metabolic derangements in sepsis and how metabolic phenotyping has been used to identify sub-groups of patients with this condition. Finally, we consider the new avenues that metabolomics could open, exploring novel phenotypes and untangling the heterogeneity of sepsis, by looking at advances made in the field with other -omics technologies.
Date Issued
2022-04-21
Date Acceptance
2022-04-12
Citation
Metabolites, 2022, 12 (5), pp.1-42
ISSN
2218-1989
Publisher
MDPI AG
Start Page
1
End Page
42
Journal / Book Title
Metabolites
Volume
12
Issue
5
Copyright Statement
© 2022 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
https://www.mdpi.com/2218-1989/12/5/376
Subjects
0301 Analytical Chemistry
0601 Biochemistry and Cell Biology
1103 Clinical Sciences
Publication Status
Published
Date Publish Online
2022-04-21