Patient Stratification in Sepsis: Using Metabolomics to Detect Clinical Phenotypes, Sub-Phenotypes and Therapeutic Response

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 sepsi...

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Main Authors: Humma Hussain, Kritchai Vutipongsatorn, Beatriz Jiménez, David B. Antcliffe
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Metabolites
Subjects:
Online Access:https://www.mdpi.com/2218-1989/12/5/376
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author Humma Hussain
Kritchai Vutipongsatorn
Beatriz Jiménez
David B. Antcliffe
author_facet Humma Hussain
Kritchai Vutipongsatorn
Beatriz Jiménez
David B. Antcliffe
author_sort Humma Hussain
collection DOAJ
description 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.
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spelling doaj.art-a659697dbd26484285755bc6c6566eaf2023-11-23T12:06:31ZengMDPI AGMetabolites2218-19892022-04-0112537610.3390/metabo12050376Patient Stratification in Sepsis: Using Metabolomics to Detect Clinical Phenotypes, Sub-Phenotypes and Therapeutic ResponseHumma Hussain0Kritchai Vutipongsatorn1Beatriz Jiménez2David B. Antcliffe3Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UKDivision of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UKSection of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UKDivision of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UKInfections 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.https://www.mdpi.com/2218-1989/12/5/376sepsismetabolomicssub-phenotypingorgan dysfunctionpatient stratificationNMR
spellingShingle Humma Hussain
Kritchai Vutipongsatorn
Beatriz Jiménez
David B. Antcliffe
Patient Stratification in Sepsis: Using Metabolomics to Detect Clinical Phenotypes, Sub-Phenotypes and Therapeutic Response
Metabolites
sepsis
metabolomics
sub-phenotyping
organ dysfunction
patient stratification
NMR
title Patient Stratification in Sepsis: Using Metabolomics to Detect Clinical Phenotypes, Sub-Phenotypes and Therapeutic Response
title_full Patient Stratification in Sepsis: Using Metabolomics to Detect Clinical Phenotypes, Sub-Phenotypes and Therapeutic Response
title_fullStr Patient Stratification in Sepsis: Using Metabolomics to Detect Clinical Phenotypes, Sub-Phenotypes and Therapeutic Response
title_full_unstemmed Patient Stratification in Sepsis: Using Metabolomics to Detect Clinical Phenotypes, Sub-Phenotypes and Therapeutic Response
title_short Patient Stratification in Sepsis: Using Metabolomics to Detect Clinical Phenotypes, Sub-Phenotypes and Therapeutic Response
title_sort patient stratification in sepsis using metabolomics to detect clinical phenotypes sub phenotypes and therapeutic response
topic sepsis
metabolomics
sub-phenotyping
organ dysfunction
patient stratification
NMR
url https://www.mdpi.com/2218-1989/12/5/376
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AT kritchaivutipongsatorn patientstratificationinsepsisusingmetabolomicstodetectclinicalphenotypessubphenotypesandtherapeuticresponse
AT beatrizjimenez patientstratificationinsepsisusingmetabolomicstodetectclinicalphenotypessubphenotypesandtherapeuticresponse
AT davidbantcliffe patientstratificationinsepsisusingmetabolomicstodetectclinicalphenotypessubphenotypesandtherapeuticresponse