Imperial College London
Portrait Picture

DrDavidAntcliffe

Faculty of Medicine, Department of Surgery & Cancer

Clinical Senior Lecturer in Critical Medicine
 
 
 
//

Contact

 

d.antcliffe

 
 
//

Location

 

Intensive Care UnitCharing Cross HospitalCharing Cross Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Hussain:2022:10.3390/metabo12050376,
author = {Hussain, H and Vutipongsatorn, K and Jimenez, B and Antcliffe, D},
doi = {10.3390/metabo12050376},
journal = {Metabolites},
pages = {1--42},
title = {Patient stratification in sepsis: Using metabolomics to detect clinical phenotypes, sub-phenotypes and therapeutic response},
url = {http://dx.doi.org/10.3390/metabo12050376},
volume = {12},
year = {2022}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Hussain,H
AU  - Vutipongsatorn,K
AU  - Jimenez,B
AU  - Antcliffe,D
DO  - 10.3390/metabo12050376
EP  - 42
PY  - 2022///
SN  - 2218-1989
SP  - 1
TI  - Patient stratification in sepsis: Using metabolomics to detect clinical phenotypes, sub-phenotypes and therapeutic response
T2  - Metabolites
UR  - http://dx.doi.org/10.3390/metabo12050376
UR  - https://www.mdpi.com/2218-1989/12/5/376
UR  - http://hdl.handle.net/10044/1/96842
VL  - 12
ER  -
Download