Evidence map›Paper›PMID 38195661›Full record

ArticleNature communications2024

Identifying immune signatures of sepsis to increase diagnostic accuracy in very preterm babies.

A Das, G Ariyakumar, N Gupta, S Kamdar, A Barugahare, D Deveson-Lucas, S Gee, K Costeloe, M S Davey, P Fleming and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
14.7field-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.

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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 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

11 authors at 4 institutions in 3 countries.

A DasPeter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, Guy's Hospital, London, UK. abhishek.das@ucl.ac.uk.ORCID 0000-0002-8798-035X
G AriyakumarPeter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, Guy's Hospital, London, UK.
N GuptaDepartment of Neonatology, Evelina London Neonatal Unit, Guy's and St Thomas' NHS Foundation Trust, London, UK.
S KamdarPeter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, Guy's Hospital, London, UK.
A BarugahareBioinformatics Platform and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC, 3800, Australia.ORCID 0000-0002-8976-0094
D Deveson-LucasBioinformatics Platform and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC, 3800, Australia.
S GeePeter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, Guy's Hospital, London, UK.
K CosteloeBarts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
M S DaveyInfection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC, 3800, Australia.ORCID 0000-0002-3463-3127
P Fleming *Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
D L Gibbons *Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, Guy's Hospital, London, UK. deena.gibbons@kcl.ac.uk.ORCID 0000-0002-7953-3576
Guy's Hospital · GBAustralian Regenerative Medicine Institute · AUQueen Mary University of London · GBKing's College London · GB

Funding

Academy of Medical Sciences SGL019\1004
6 · The paper itself

Abstract

Bacterial infections are a major cause of mortality in preterm babies, yet our understanding of early-life disease-associated immune dysregulation remains limited. Here, we combine multi-parameter flow cytometry, single-cell RNA sequencing and plasma analysis to longitudinally profile blood from very preterm babies (<32 weeks gestation) across episodes of invasive bacterial infection (sepsis). We identify a dynamically changing blood immune signature of sepsis, including lymphopenia, reduced dendritic cell frequencies and myeloid cell HLA-DR expression, which characterizes sepsis even when the common clinical marker of inflammation, C-reactive protein, is not elevated. Furthermore, single-cell RNA sequencing identifies upregulation of amphiregulin in leukocyte populations during sepsis, which we validate as a plasma analyte that correlates with clinical signs of disease, even when C-reactive protein is normal. This study provides insights into immune pathways associated with early-life sepsis and identifies immune analytes as potential diagnostic adjuncts to standard tests to guide targeted antibiotic prescribing.

Indexed as

C-Reactive ProteinSepsisAnti-Bacterial AgentsHumansInfantInfant, Extremely PrematureInfant, NewbornPlasmaAnti-Bacterial AgentsC-Reactive Protein

Identifiers

PMID38195661
PMCPMC10776581
OpenAlexW4390727854

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.