IRUS Total

Patient stratification in sepsis: Using metabolomics to detect clinical phenotypes, sub-phenotypes and therapeutic response

File Description SizeFormat 
metabolites-12-00376.pdfPublished version1.24 MBAdobe PDFView/Open
Title: Patient stratification in sepsis: Using metabolomics to detect clinical phenotypes, sub-phenotypes and therapeutic response
Authors: Hussain, H
Vutipongsatorn, K
Jimenez, B
Antcliffe, D
Item 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.
Issue Date: 21-Apr-2022
Date of Acceptance: 12-Apr-2022
URI: http://hdl.handle.net/10044/1/96842
DOI: 10.3390/metabo12050376
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/).
Keywords: 0301 Analytical Chemistry
0601 Biochemistry and Cell Biology
1103 Clinical Sciences
Publication Status: Published
Online Publication Date: 2022-04-21
Appears in Collections:Department of Metabolism, Digestion and Reproduction
Department of Surgery and Cancer

This item is licensed under a Creative Commons License Creative Commons