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Investigation of the hyporesponsive endotype to inform a precision medicine approach to sepsis

Lead Research Organisation: University of Oxford
Department Name: Wellcome Trust Centre for Human Genetics

Abstract

What is being done?
This research aims to improve the care of patients with sepsis by providing new insights into the nature and drivers of the individual patient sepsis response. Our long-term goal is to help to develop a precision medicine approach to sepsis that allows the right patients to be getting the right treatment at the right time.

Why is this needed?
Sepsis occurs when the body's response to infection is dysregulated and inappropriate. This results in organ failure and sometimes death. Why this happens in some people is unclear and we have no current treatments that target this. Sepsis is the most common reason for admission to medical intensive care units in the UK and has a high mortality of 25-30%. This is a major current problem for the NHS and sepsis is recognised by the WHO as a global health priority.

How will this be done?
In this research we will use our finding that levels of gene activity in blood cells can predict your type of sepsis response. We will study sepsis patients with a hyporesponsive state as these patients have the worse outcomes and may benefit from specific immunomodulatory therapies. Our first objective is to work out how doctors can identify such patients with confidence by measuring biomarkers in the blood. Our second objective is to determine how this response may change over time during the sepsis illness. Our third objective is to understand genetic predisposing factors. Our fourth objective is to understand the nature of white blood cell dysfunction in the hyporesponsive sepsis state. Our fifth objective is to work with doctors undertaking clinical trials to use knowledge of the hyporesponsive state to help develop new treatments for sepsis. We will do this through the UK Genomic Advances in Sepsis study, applying big data (-omics) and clinical experimental medicine approaches.

Where will the work be done?
The work will be undertaken at the University of Oxford, Sanger Institute and Imperial College.

When will the work be carried out?
The work will be undertaken from 2020 to 2024.

Technical Summary

The dysregulated host response that characterises the clinical syndrome of sepsis is recognised to be highly heterogeneous. Transcriptomics can be used to define specific sepsis disease endotypes based on gene expression signatures in peripheral blood, and in particular to identify patients with evidence of hyporesponsiveness (including immune cell tolerance and exhaustion) who have the worst outcomes. The ability to distinguish such patients provides a timely opportunity to progress towards a precision medicine approach to managing sepsis. This is important as disease heterogeneity currently limits therapeutic options and is a major contributory factor in the failure of clinical trials that have sought to modulate the host response in sepsis to improve survival. We aim to define this endotype with greater precision by consensus endotyping, determine the most informative RNA biomarkers, and investigate how the endotype evolves during the septic episode. We will investigate genetic drivers contributing to the endotype based on association with gene expression or endotype membership. We will then use single cell -omic approaches to determine the specific cellular drivers of the leukocyte transcriptomic signature, and investigate the nature and extent of cellular dysfunction during the acute septic illness and in survivors. Our final objective will be to assess the impact of knowledge of the hyporesponsive endotype on the design and interpretation of a clinical trial investigating immune stimulation therapy. Our longer-term goal is to enable the development of therapies to modulate the host response in sepsis that can be appropriately timed and targeted to the individual patients most likely to benefit.

Planned Impact

A. Beneficiaries of this research
This is translationally focused research with long term goals that will benefit a number of groups. These will include individual patients at risk of or who develop sepsis, through promoting a precision medicine approach and more effective therapeutic interventions; researchers in academia and the pharmaceutical industry though identification, characterisation and application of knowledge of the most severe sepsis disease endotype including in clinical trials; the citizens of the UK through better quality of life and health of the population by improved management of sepsis; and the UK government through reduced health care costs and promoting a healthier, more economically productive workforce.

B1. Potential impacts: patients at risk of or who develop sepsis
Sepsis is a devastating condition with a high mortality rate, which is a current area of unmet need for patients and their families. This research has the potential for very substantial impact through advancing a precision medicine approach to therapy in sepsis. We will do this by enabling the targeting of drugs to the right patients at the right time for maximal benefit by identifying the sepsis response state of the individual patient at that point in their illness. Moreover, the insights gained by this research will inform the development of new or more targeted therapies.

B2. Potential impacts: researchers in academia and industry
We will impact researchers by advancing knowledge of sepsis disease endotypes, together with new insights into drivers and mechanisms of the disease and how we can intervene in a targeted manner. The establishment of a consensus endotype and robust biomarkers is urgently needed given independent reports of overlapping endotypes while understanding of the disease natural history and mechanism is needed to inform development of therapies. The research will also provide impact through proof of concept for future clinical trials in sepsis. This will impact those working in research and the pharmaceutical industry through the ability to conduct rational drug trials in the setting of patient stratification, reducing current heterogeneity in the disease phenotype.

B3. Potential impacts: society, economics and government
Our work is of significant potential societal impact to the citizens of the UK, enhancing the quality of life and health of the population through better patient outcomes in sepsis including reduced mortality and hospital length of stay. There is the opportunity for impact by increasing the effectiveness of the NHS, reducing health care costs and promoting a healthy economically productive population. There is also an important opportunity to promote education and knowledge of sepsis among the public with significant potential impact for early disease recognition.

Publications

10 25 50
 
Description Enabled NHS Genomic Network of Excellence in Severe Presentations of Infectious Disease
Geographic Reach National 
Policy Influence Type Contribution to new or improved professional practice
 
Title Genomic Advances in Sepsis (GAinS): RNA-seq 
Description RNA sequencing of 903 sepsis samples 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact Impact on development of a sepsis response stratifier: Cano-Gamez E, Burnham KL, Goh C, Malick ZH, Kwok A, Smith DA, Peters-Sengers H, Antcliffe D, Investigators G, McKechnie S, Scicluna BP, van der Poll T, Gordon AC, Hinds CJ, Davenport EE and Knight JC (2022). An immune dysfunction score for stratification of patients with acute infection based on whole blood gene expression. Science Translational Medicine 14, eabq4433 
URL https://ega-archive.org/datasets/EGAD00001008730
 
Title Genomic Advances in Sepsis: plasma proteomics 
Description High-throughput tandem mass spectrometry to delineate the plasma proteome for sepsis and comparator groups (noninfected critical illness, postoperative inflammation, and healthy volunteers) involving 2612 samples (from 1611 patients) 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact Mi Y, Burnham KL, Charles PD, Heilig R, Vendrell I, Whalley J, Torrance HD, Antcliffe DB, May SM, Neville MJ, Berridge G, Hutton P, Geoghegan CG, Radhakrishnan J, Nesvizhskii AI, Yu F, Davenport EE, McKechnie S, Davies R, O'Callaghan DJP, Patel P, Del Arroyo AG, Karpe F, Gordon AC, Ackland GL, Hinds CJ, Fischer R and Knight JC (2024). High-throughput mass spectrometry maps the sepsis plasma proteome and differences in patient response. Science Translational Medicine 16, eadh0185 
URL https://www.ebi.ac.uk/pride/archive/projects/PXD039875
 
Title Neutrophil and emergency granulopoietic drivers of sepsis immune suppression and an extreme response to infection 
Description The dysregulated host response to infection leading to organ dysfunction is highly heterogeneous. It is currently poorly delineated by sepsis as a clinical syndromic classification, thus confounding immunotherapy trials. Here we establish the pathophysiology and potential therapeutic targets of a specific extreme response to infection state (sepsis response signature SRS1), characterised by immune compromise and poor outcome. We first derive a whole blood single-cell multi-omic atlas of the sepsis response (2727,993 cells, n=39), finding an increase in IL1R2+ immature neutrophils in SRS1, which we confirmed by CyTOF and RNA-sequencing (n=53). We next uncovered high activity of neutrophil STAT3 gene expression programs in SRS1, which were shared across multiple infectioius disease settings (n=1044) irrespective of the clinical definition of the patient cohorts. We observed elevated plasma G-CSF and IL-6 in SRS1, suggesting heightened emergency granulopoiesis (EG). We therefore characterised patient and healthy control hematopoietic stem cells (HSCs) using single-cell RNA/chromatin accessibility multi-omics (29,366 cells, n=27), identifying SRS1-specific EG transcriptional skewing, together with STAT3 and EG master regulator CEBPB epigenetic signatures. Our findings establish a common cellular axis present across extreme responses to infection, reveal its hematopoietic origin, and nominate G-CSF and IL-6 as potential therapeutic targets for the SRS1 state. The present data deposit includes processed and quality-controlled data tables for: 1. Whole blood leukocytes profiled with the BD Rhapsody platform in a cohort of 39 sepsis patients (RNA and protein count matrices, as well as their accompanying metadata table) 2. Circulating HSCs in blood profiled with the 10X multiomics platform in a cohort of 27 sepsis patients (RNA and ATAC-seq count matrices, as well as their accompanying metadata tables) 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
URL https://zenodo.org/record/7723202
 
Title Neutrophil and emergency granulopoietic drivers of sepsis immune suppression and an extreme response to infection 
Description The dysregulated host response to infection leading to organ dysfunction is highly heterogeneous. It is currently poorly delineated by sepsis as a clinical syndromic classification, thus confounding immunotherapy trials. Here we establish the pathophysiology and potential therapeutic targets of a specific extreme response to infection state (sepsis response signature SRS1), characterised by immune compromise and poor outcome. We first derive a whole blood single-cell multi-omic atlas of the sepsis response (2727,993 cells, n=39), finding an increase in IL1R2+ immature neutrophils in SRS1, which we confirmed by CyTOF and RNA-sequencing (n=53). We next uncovered high activity of neutrophil STAT3 gene expression programs in SRS1, which were shared across multiple infectioius disease settings (n=1044) irrespective of the clinical definition of the patient cohorts. We observed elevated plasma G-CSF and IL-6 in SRS1, suggesting heightened emergency granulopoiesis (EG). We therefore characterised patient and healthy control hematopoietic stem cells (HSCs) using single-cell RNA/chromatin accessibility multi-omics (29,366 cells, n=27), identifying SRS1-specific EG transcriptional skewing, together with STAT3 and EG master regulator CEBPB epigenetic signatures. Our findings establish a common cellular axis present across extreme responses to infection, reveal its hematopoietic origin, and nominate G-CSF and IL-6 as potential therapeutic targets for the SRS1 state. The present data deposit includes processed and quality-controlled data tables for: 1. Whole blood leukocytes profiled with the BD Rhapsody platform in a cohort of 39 sepsis patients (RNA and protein count matrices, as well as their accompanying metadata table) 2. Circulating HSCs in blood profiled with the 10X multiomics platform in a cohort of 27 sepsis patients (RNA and ATAC-seq count matrices, as well as their accompanying metadata tables) 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
URL https://zenodo.org/record/7924238
 
Title Neutrophil and emergency granulopoietic drivers of sepsis immune suppression and an extreme response to infection 
Description The dysregulated host response to infection leading to organ dysfunction is highly heterogeneous. It is currently poorly delineated by sepsis as a clinical syndromic classification, thus confounding immunotherapy trials. Here we establish the pathophysiology and potential therapeutic targets of a specific extreme response to infection state (sepsis response signature SRS1), characterised by immune compromise and poor outcome. We first derive a whole blood single-cell multi-omic atlas of the sepsis response (2727,993 cells, n=39), finding an increase in IL1R2+ immature neutrophils in SRS1, which we confirmed by CyTOF and RNA-sequencing (n=53). We next uncovered high activity of neutrophil STAT3 gene expression programs in SRS1, which were shared across multiple infectioius disease settings (n=1044) irrespective of the clinical definition of the patient cohorts. We observed elevated plasma G-CSF and IL-6 in SRS1, suggesting heightened emergency granulopoiesis (EG). We therefore characterised patient and healthy control hematopoietic stem cells (HSCs) using single-cell RNA/chromatin accessibility multi-omics (29,366 cells, n=27), identifying SRS1-specific EG transcriptional skewing, together with STAT3 and EG master regulator CEBPB epigenetic signatures. Our findings establish a common cellular axis present across extreme responses to infection, reveal its hematopoietic origin, and nominate G-CSF and IL-6 as potential therapeutic targets for the SRS1 state. The present data deposit includes processed and quality-controlled data tables for: 1. Whole blood leukocytes profiled with the BD Rhapsody platform in a cohort of 39 sepsis patients (RNA and protein count matrices, as well as their accompanying metadata table) 2. Circulating HSCs in blood profiled with the 10X multiomics platform in a cohort of 27 sepsis patients (RNA and ATAC-seq count matrices, as well as their accompanying metadata tables) 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
URL https://zenodo.org/record/7723201
 
Title SepstratifieR package 
Description This machine learning package enables assignment of sepsis response signature endotype based on white blood cell gene expression measurements 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? Yes  
Impact Allows any researcher to stratify sepsis response state. Published as part of this paper: Cano-Gamez E, Burnham KL, Goh C, Malick ZH, Kwok A, Smith DA, Peters-Sengers H, Antcliffe D, Investigators G, McKechnie S, Scicluna BP, van der Poll T, Gordon AC, Hinds CJ, Davenport EE and Knight JC (2022). An immune dysfunction score for stratification of patients with acute infection based on whole blood gene expression. Science Translational Medicine 14, eabq4433 
URL https://github.com/jknightlab/SepstratifieR/tree/v1.0.0
 
Title Single cell -omics data on sepsis response 
Description Data held at EGA. Single cell -omics data relating to publication: Kwok AJ, Allcock A, Ferreira RC, Cano-Gamez E, Smee M, Burnham KL, Zurke Y-X, Emergency Medicine Research Oxford (EMROx), McKechnie S, Mentzer AJ, Monaco C, Udalova I, Hinds CJ, Davenport EE, Todd JA and Knight JC (2023). Neutrophils and emergency granulopoiesis drive immune suppression and an extreme response endotype during sepsis. Nature Immunology 24, 767-779 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact Provides a mechanistic basis for a sepsis endotype and extensive data for other researchers to investigate sepsis single cell biology 
URL https://ega-archive.org/studies/EGAS00001006283
 
Title The circulating cell-free DNA landscape in sepsis is dominated by impaired liver clearance 
Description Abstract: Circulating cell-free DNA (cfDNA) is a promising molecular biomarker. However, its utility in severe infection remains poorly understood. Here, we isolated cfDNA from sepsis patients and controls, demonstrating a 41-fold increase in the amount of cfDNA in circulation during disease. We used sequencing to reconstruct cfDNA methylomes, fragmentation profiles, and nucleosome footprints across 58 samples. We observed no difference in cfDNA composition between patients and controls, challenging the idea that cfDNA increases due to higher immune cell death during sepsis. Instead, we suggest that liver dysfunction prevents efficient clearance of cfDNA during disease. This was supported by fragmentation and end-motif patterns, both of which showed evidence of cfDNA being exposed to circulating nucleases for a prolonged period, proportionally to the extent of liver dysfunction. Variation in cfDNA of megakaryocyte-erythroid progenitor origin was also a significant contributor in sepsis, increasing over time. Moreover, we showed that cfDNA retains nucleosome footprints with cell type-specific gene activity information. We developed a novel approach to study nucleosome phasing that successfully recovers tissue-specific signatures. By combining this with single-cell data, we demonstrated that sepsis patients with liver dysfunction have higher amounts of cfDNA derived from Kupffer cells and the liver parenchyma. In conclusion, we present the first high-throughput multi-modal study of cfDNA during sepsis, which will serve as a reference point for future studies on the role of this biomarker in critical illness.   Contents: This data set contains methylation estimates (i.e. percentage of methylated reads) for 56 high-quality cfDNA samples from sepsis patients and healthy controls. Methylation is reported for 19.28 million autosomal CpG sites which passed QC filters and were considered variable. The data set is compsoed of three interlinked files:   a) Methylation matrix: Measured CpG methylation perecentages b) CpG annotations: Genomic position (corresponding to the GRCh38 refernece genome) and coverage information for each CpG site included in the study c) Sample metadata: Techincal and biological information for each sample included in the study (e.g. disease status, sequencing batch, etc)   Associated software and methods: For a more detailed understanding of how these methylation estimates were generated from raw sequencing reads, please refer to the associated data analysis pipeline available in GitHub: https://github.com/jknightlab/TAPS-pipeline/ 
Type Of Material Database/Collection of data 
Year Produced 2025 
Provided To Others? Yes  
URL https://zenodo.org/doi/10.5281/zenodo.14844792
 
Title The circulating cell-free DNA landscape in sepsis is dominated by impaired liver clearance 
Description Abstract: Circulating cell-free DNA (cfDNA) is a promising molecular biomarker. However, its utility in severe infection remains poorly understood. Here, we isolated cfDNA from sepsis patients and controls, demonstrating a 41-fold increase in the amount of cfDNA in circulation during disease. We used sequencing to reconstruct cfDNA methylomes, fragmentation profiles, and nucleosome footprints across 58 samples. We observed no difference in cfDNA composition between patients and controls, challenging the idea that cfDNA increases due to higher immune cell death during sepsis. Instead, we suggest that liver dysfunction prevents efficient clearance of cfDNA during disease. This was supported by fragmentation and end-motif patterns, both of which showed evidence of cfDNA being exposed to circulating nucleases for a prolonged period, proportionally to the extent of liver dysfunction. Variation in cfDNA of megakaryocyte-erythroid progenitor origin was also a significant contributor in sepsis, increasing over time. Moreover, we showed that cfDNA retains nucleosome footprints with cell type-specific gene activity information. We developed a novel approach to study nucleosome phasing that successfully recovers tissue-specific signatures. By combining this with single-cell data, we demonstrated that sepsis patients with liver dysfunction have higher amounts of cfDNA derived from Kupffer cells and the liver parenchyma. In conclusion, we present the first high-throughput multi-modal study of cfDNA during sepsis, which will serve as a reference point for future studies on the role of this biomarker in critical illness.   Contents: This data set contains methylation estimates (i.e. percentage of methylated reads) for 56 high-quality cfDNA samples from sepsis patients and healthy controls. Methylation is reported for 19.28 million autosomal CpG sites which passed QC filters and were considered variable. The data set is compsoed of three interlinked files:   a) Methylation matrix: Measured CpG methylation perecentages b) CpG annotations: Genomic position (corresponding to the GRCh38 refernece genome) and coverage information for each CpG site included in the study c) Sample metadata: Techincal and biological information for each sample included in the study (e.g. disease status, sequencing batch, etc)   Associated software and methods: For a more detailed understanding of how these methylation estimates were generated from raw sequencing reads, please refer to the associated data analysis pipeline available in GitHub: https://github.com/jknightlab/TAPS-pipeline/ 
Type Of Material Database/Collection of data 
Year Produced 2025 
Provided To Others? Yes  
URL https://zenodo.org/doi/10.5281/zenodo.14844791
 
Title SepstratifieR 
Description The goal of SepstratifieR is to stratify patients with suspected infection into groups with different molecular characteristics. This is done based on the expression level of a small set of genes measured from whole blood. 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
Impact This is a novel method for sepsis stratification by hyporesponsive endotype using gene expression, a primary aim of the propsal 
URL https://github.com/jknightlab/SepstratifieR
 
Description Establishment of Patient and participant Involvement group for sepsis research 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Patients, carers and/or patient groups
Results and Impact We established a new sepsis PPI group for sepsis research with 14 members who are patients or carers interested in sepsis from across the United Kingdom, with diversity in age, gender and ethnic background. We currently meet virtually at 4-6 monthly intervals and members receive an email update at least bi-monthly.
Year(s) Of Engagement Activity 2021,2022