Patient stratification using plasma cytokines and their regulators in sepsis: relationship to outcomes, treatment effect and leucocyte transcriptomic subphenotypes

Author:

Antcliffe David BenjaminORCID,Mi Yuxin,Santhakumaran Shalini,Burnham Katie LORCID,Prevost A Toby,Ward Josie K,Marshall Timothy J,Bradley Claire,Al-Beidh Farah,Hutton Paula,McKechnie Stuart,Davenport Emma E,Hinds Charles J,O'Kane Cecilia M,McAuley Daniel Francis,Shankar-Hari ManuORCID,Gordon Anthony CORCID,Knight Julian C

Abstract

RationaleHeterogeneity of the host response within sepsis, acute respiratory distress syndrome (ARDS) and more widely critical illness, limits discovery and targeting of immunomodulatory therapies. Clustering approaches using clinical and circulating biomarkers have defined hyper-inflammatory and hypo-inflammatory subphenotypes in ARDS associated with differential treatment response. It is unknown if similar subphenotypes exist in sepsis populations where leucocyte transcriptomic-defined subphenotypes have been reported.ObjectivesWe investigated whether inflammatory clusters based on cytokine protein abundance were seen in sepsis, and the relationships with previously described transcriptomic subphenotypes.MethodsHierarchical cluster and latent class analysis were applied to an observational study (UK Genomic Advances in Sepsis (GAinS)) (n=124 patients) and two clinical trial datasets (VANISH, n=155 and LeoPARDS, n=484) in which the plasma protein abundance of 65, 21, 11 circulating cytokines, cytokine receptors and regulators were quantified. Clinical features, outcomes, response to trial treatments and assignment to transcriptomic subphenotypes were compared between inflammatory clusters.Measurements and main resultsWe identified two (UK GAinS, VANISH) or three (LeoPARDS) inflammatory clusters. A group with high levels of pro-inflammatory and anti-inflammatory cytokines was seen that was associated with worse organ dysfunction and survival. No interaction between inflammatory clusters and trial treatment response was found. We found variable overlap of inflammatory clusters and leucocyte transcriptomic subphenotypes.ConclusionsThese findings demonstrate that differences in response at the level of cytokine biology show clustering related to severity, but not treatment response, and may provide complementary information to transcriptomic sepsis subphenotypes.Trial registration numberISRCTN20769191,ISRCTN12776039.

Funder

Efficacy and Mechanism Evaluation Programme

Wellcome Trust

China Scholarship Council

Research for Patient Benefit Programme

Chinese Academy of Medical Sciences

National Institute for Health and Care Research

Intensive Care Foundation

NIHR Oxford Biomedical Research Centre

NIHR Imperial Biomedical Research Centre

Publisher

BMJ

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