Evidence map›Paper›PMID 35130948›Full record

Observational studyCritical care (London, England)2022

Multidimensional analysis of the host response reveals prognostic and pathogen-driven immune subtypes among adults with sepsis in Uganda.

Matthew J Cummings, Barnabas Bakamutumaho, Adam Price, Nicholas Owor, John Kayiwa, Joyce Namulondo, Timothy Byaruhanga, Moses Muwanga, Christopher Nsereko, Stephen Sameroff and 7 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Critical care (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 7% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 2 countries.

Matthew J CummingsDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, 622 West 168th St, PH 8E-101, New York, NY, 10032, USA. mjc2244@columbia.edu.ORCID 0000-0003-2906-0966
Barnabas BakamutumahoDepartment of Arbovirology, Emerging and Re-Emerging Infectious Diseases, Uganda Virus Research Institute, Entebbe, Uganda.
Adam PriceCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA.
Nicholas OworDepartment of Arbovirology, Emerging and Re-Emerging Infectious Diseases, Uganda Virus Research Institute, Entebbe, Uganda.
John KayiwaDepartment of Arbovirology, Emerging and Re-Emerging Infectious Diseases, Uganda Virus Research Institute, Entebbe, Uganda.
Joyce NamulondoDepartment of Arbovirology, Emerging and Re-Emerging Infectious Diseases, Uganda Virus Research Institute, Entebbe, Uganda.
Timothy ByaruhangaDepartment of Arbovirology, Emerging and Re-Emerging Infectious Diseases, Uganda Virus Research Institute, Entebbe, Uganda.
Moses MuwangaEntebbe General Referral Hospital, Ministry of Health, Entebbe, Uganda.
Christopher NserekoEntebbe General Referral Hospital, Ministry of Health, Entebbe, Uganda.
Stephen SameroffCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA.
Rafal TokarzCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA.
Wai WongCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA.
Shivang S ShahDivision of Infectious Diseases, Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Michelle H LarsenDepartment of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA.
W Ian LipkinCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA.
Julius J LutwamaDepartment of Arbovirology, Emerging and Re-Emerging Infectious Diseases, Uganda Virus Research Institute, Entebbe, Uganda.
Max R O'DonnellDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, 622 West 168th St, PH 8E-101, New York, NY, 10032, USA.ORCID 0000-0002-1232-3718
Columbia University · USUganda Virus Research Institute · UGMinistry of Agriculture, Animal Industry and Fisheries · UGAlbert Einstein College of Medicine · US

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
TB and Other Pulmonary Complications of AIDS Research Training ProgramD43TW009607 · FIC · YALE UNIVERSITY · PI DAVIS, JOHN LUCIAN, KATAMBA, ACHILLES · 2013 to 2022
$3.2M
Phenotyping sepsis in Uganda using molecular pathogen diagnostics and latent class modelingF32AI147528 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CUMMINGS, MATTHEW JOHN · 2019 to 2020
$177k
FIC NIH HHS D43 TW009607FIC NIH HHS D43TW009607National Institute of Allergy and Infectious Diseases F32AI147528NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1TR001873NIAID NIH HHS F32 AI147528Wellcome Trust 107743
6 · The paper itself

Abstract

backgroundThe global burden of sepsis is concentrated in sub-Saharan Africa, where severe infections disproportionately affect young, HIV-infected adults and high-burden pathogens are unique. In this context, poor understanding of sepsis immunopathology represents a crucial barrier to development of locally-effective treatment strategies. We sought to determine inter-individual immunologic heterogeneity among adults hospitalized with sepsis in a sub-Saharan African setting, and characterize associations between immune subtypes, infecting pathogens, and clinical outcomes.

methodsAmong a prospective observational cohort of 288 adults hospitalized with suspected sepsis in Uganda, we applied machine learning methods to 14 soluble host immune mediators, reflective of key domains of sepsis immunopathology (innate and adaptive immune activation, endothelial dysfunction, fibrinolysis), to identify immune subtypes in randomly-split discovery (N = 201) and internal validation (N = 87) sub-cohorts. In parallel, we applied similar methods to whole-blood RNA-sequencing data from a consecutive subset of patients (N = 128) to identify transcriptional subtypes, which we characterized using biological pathway and immune cell-type deconvolution analyses.

resultsUnsupervised clustering consistently identified two immune subtypes defined by differential activation of pro-inflammatory innate and adaptive immune pathways, with transcriptional evidence of concomitant CD56(-)/CD16( +) NK-cell expansion, T-cell exhaustion, and oxidative-stress and hypoxia-induced metabolic and cell-cycle reprogramming in the hyperinflammatory subtype. Immune subtypes defined by greater pro-inflammatory immune activation, T-cell exhaustion, and metabolic reprogramming were consistently associated with a high-prevalence of severe and often disseminated HIV-associated tuberculosis, as well as more extensive organ dysfunction, worse functional outcomes, and higher 30-day mortality.

conclusionsOur results highlight unique host- and pathogen-driven features of sepsis immunopathology in sub-Saharan Africa, including the importance of severe HIV-associated tuberculosis, and reinforce the need to develop more biologically-informed treatment strategies in the region, particularly those incorporating immunomodulation.

Indexed as

HIV InfectionsSepsisTuberculosisHumansPrognosisUgandaAfricaBiomarkersHigh-throughput nucleotide sequencingSepsisTuberculosisUganda

Identifiers

PMID35130948
PMCPMC8822787
OpenAlexW4210941072

What OpenQuestion holds

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Registered trials

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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.