Evidence map›Paper›PMID 26917434›Full record

ArticleThe Lancet. Respiratory medicine2016

Genomic landscape of the individual host response and outcomes in sepsis: a prospective cohort study.

Emma E Davenport, Katie L Burnham, Jayachandran Radhakrishnan, Peter Humburg, Paula Hutton, Tara C Mills, Anna Rautanen, Anthony C Gordon, Christopher Garrard, Adrian V S Hill and 2 more

2 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in The Lancet. Respiratory medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 510 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
510citing papers in PubMed, 3 pooled it
30.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05336851 recruitingnot on this mapstarted 2023, after this paper: background citation

Emergency PanorOmic Wide Association Study in Respiratory Infectious Disease (ePWAS-RID)

Typeobservational_patient_registrySponsorThe University of Hong KongRan2023 to 2028Enrolled2,000ConditionsViral Infections, Bacterial Infections, Fungal Infections, Mixed InfectionArmsBiomarker blood draw and saliva collection
NCT05728359 recruitingnot on this mapstarted 2022, after this paper: background citation

Prospective Observational Study Investigating Genomic Determinants of Outcome From Cardiogenic Shock (GOlDilOCS)

Typeobservational_patient_registrySponsorBarts & The London NHS TrustRan2022 to 2026Enrolled300ConditionsCardiogenic ShockArmsObservational study
3 · Its place in the literature

Who cites it

510 citing papers in PubMed, 3 syntheses or guidelines pooled it, 793 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Guideline
  4. Trial
  5. Trial
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Review

450 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Emma E DavenportWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Katie L BurnhamWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Jayachandran RadhakrishnanWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Peter HumburgWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Paula HuttonAdult Intensive Care Unit, John Radcliffe Hospital, Oxford, UK.
Tara C MillsWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Anna RautanenWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Anthony C GordonSection of Anaesthetics, Pain Medicine and Intensive Care, Imperial College, London, UK.
Christopher GarrardAdult Intensive Care Unit, John Radcliffe Hospital, Oxford, UK.
Adrian V S HillWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Charles J HindsWilliam Harvey Research Institute, Barts and The London School of Medicine, Queen Mary University, London, UK.
Julian C KnightWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. Electronic address: julian@well.ox.ac.uk.
University of Oxford · GBCentre for Human Genetics · GBJohn Radcliffe Hospital · GBImperial College London · GBWilliam Harvey Research Institute · GB

Funding

Department of Health NIHR/CS/009/007European Research Council 281824Medical Research Council G1001708Wellcome TrustWellcome Trust 074318Wellcome Trust 090532/Z/09/Z
6 · The paper itself

Abstract

backgroundEffective targeted therapy for sepsis requires an understanding of the heterogeneity in the individual host response to infection. We investigated this heterogeneity by defining interindividual variation in the transcriptome of patients with sepsis and related this to outcome and genetic diversity.

methodsWe assayed peripheral blood leucocyte global gene expression for a prospective discovery cohort of 265 adult patients admitted to UK intensive care units with sepsis due to community-acquired pneumonia and evidence of organ dysfunction. We then validated our findings in a replication cohort consisting of a further 106 patients. We mapped genomic determinants of variation in gene transcription between patients as expression quantitative trait loci (eQTL).

findingsWe discovered that following admission to intensive care, transcriptomic analysis of peripheral blood leucocytes defines two distinct sepsis response signatures (SRS1 and SRS2). The presence of SRS1 (detected in 108 [41%] patients in discovery cohort) identifies individuals with an immunosuppressed phenotype that included features of endotoxin tolerance, T-cell exhaustion, and downregulation of human leucocyte antigen (HLA) class II. SRS1 was associated with higher 14 day mortality than was SRS2 (discovery cohort hazard ratio (HR) 2·4, 95% CI 1·3-4·5, p=0·005; validation cohort HR 2·8, 95% CI 1·5-5·1, p=0·0007). We found that a predictive set of seven genes enabled the classification of patients as SRS1 or SRS2. We identified cis-acting and trans-acting eQTL for key immune and metabolic response genes and sepsis response networks. Sepsis eQTL were enriched in endotoxin-induced epigenetic marks and modulated the individual host response to sepsis, including effects specific to SRS group. We identified regulatory genetic variants involving key mediators of gene networks implicated in the hypoxic response and the switch to glycolysis that occurs in sepsis, including HIF1α and mTOR, and mediators of endotoxin tolerance, T-cell activation, and viral defence.

interpretationOur integrated genomics approach advances understanding of heterogeneity in sepsis by defining subgroups of patients with different immune response states and prognoses, as well as revealing the role of underlying genetic variation. Our findings provide new insights into the pathogenesis of sepsis and create opportunities for a precision medicine approach to enable targeted therapeutic intervention to improve sepsis outcomes.

fundingEuropean Commission, Medical Research Council (UK), and the Wellcome Trust.

Indexed as

GenomicsAgedCommunity-Acquired InfectionsFemaleGene ExpressionGene Expression ProfilingGenetic HeterogeneityGenetic VariationHumansIntensive Care UnitsLeukocytesMaleMiddle AgedPhenotypePneumoniaProspective Studies

Identifiers

PMID26917434
PMCPMC4820667
OpenAlexW2274346642

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.