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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Metabolites |
Subjects: | |
Online Access: | https://www.mdpi.com/2218-1989/12/5/376 |
_version_ | 1797498003886440448 |
---|---|
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. |
first_indexed | 2024-03-10T03:27:14Z |
format | Article |
id | doaj.art-a659697dbd26484285755bc6c6566eaf |
institution | Directory Open Access Journal |
issn | 2218-1989 |
language | English |
last_indexed | 2024-03-10T03:27:14Z |
publishDate | 2022-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Metabolites |
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 |
work_keys_str_mv | AT hummahussain patientstratificationinsepsisusingmetabolomicstodetectclinicalphenotypessubphenotypesandtherapeuticresponse AT kritchaivutipongsatorn patientstratificationinsepsisusingmetabolomicstodetectclinicalphenotypessubphenotypesandtherapeuticresponse AT beatrizjimenez patientstratificationinsepsisusingmetabolomicstodetectclinicalphenotypessubphenotypesandtherapeuticresponse AT davidbantcliffe patientstratificationinsepsisusingmetabolomicstodetectclinicalphenotypessubphenotypesandtherapeuticresponse |