Evidence map›Paper›PMID 41896381›Full record

ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2026

Proteomic profiling and pathway analyses reveal molecular signatures and immune networks in pediatric sepsis.

Vincenzo Stranges, Logan R Van Nynatten, David Tweddell, Enis Cela, Maria Morello, Mark Daley, David B O'Gorman, Gediminas Cepinskas, Douglas D Fraser

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Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Vincenzo StrangesMaternal and Child Health and Urological Sciences, Policlinico Umberto I, Rome, Italy.
Logan R Van NynattenCritical Care Medicine, Western University, London, ON, Canada.
David TweddellComputer Science, Western University, London, ON, Canada.
Enis CelaPhysiology and Pharmacology, Western University, London, ON, Canada.
Maria MorelloExperimental Medicine, University of Rome Tor Vergata, Rome, Italy.
Mark DaleyComputer Science, Western University, London, ON, Canada.
David B O'GormanBiochemistry, Western University, London, ON, Canada.
Gediminas CepinskasMedical Biophysics, Western University, London, ON, Canada.
Douglas D FraserPhysiology and Pharmacology, Western University, London, ON, Canada. douglas.fraser@lhsc.on.ca.ORCID http://orcid.org/0000-0002-5635-3791

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis remains a leading cause of childhood mortality worldwide. Most deaths occur within the first few days of presentation, underscoring the urgent need for early recognition and biologically informed treatment strategies. The heterogeneous etiology of sepsis involves complex, intertwined biological networks, explaining why single-biomarker approaches have proven inadequate for capturing this complexity. We used high-throughput proximity extension assay technology to comprehensively profile plasma proteins in critically ill pediatric sepsis patients, aiming to identify dysregulated biological pathways that could inform risk stratification and therapeutic development.

methodsStudy participants were prospectively enrolled based on established pediatric sepsis criteria. Plasma proteins were quantified using the Olink proximity extension assay, with differential expression, machine learning, and pathway enrichment analyses performed to define molecular signatures of pediatric sepsis.

resultsAnalysis of plasma samples from 17 pediatric sepsis patients and 17 age- and sex-matched healthy controls revealed 626 significantly differentially expressed proteins: 399 upregulated and 227 downregulated. The most significantly elevated proteins included calcitonin-related polypeptide α (CALCA), tumor necrosis factor superfamily member 14 (TNFSF14), and asialoglycoprotein receptor 1 (ASGR1). Machine learning identified a minimal 9-protein signature accounting for 90% of discriminatory power between groups. Pathway enrichment analysis revealed profound dysregulation of immune and inflammatory networks. Interleukin-10 (IL-10) signaling emerged as the most significantly enriched pathway, alongside extracellular matrix degradation, IL-4 and IL-13 signaling, and other cytokine signaling pathways. Dysregulated pathways were associated with clinical variables, particularly gram-negative infections and respiratory infection sources.

conclusionsPediatric sepsis is characterized by dysregulation of multiple immune and inflammatory pathways rather than isolated protein abnormalities. IL-10 and related cytokine signaling emerged as central nodes, providing insights into the balance between hyperinflammation and immunosuppression in critically ill children. Associations between pathways and clinical variables suggest that specific pathogen types and infection sources trigger distinct patterns of biological network activation, offering potential targets for patient stratification and pathway-directed therapeutics.

Indexed as

Blood ProteinsSepsisAdolescentChildChild, PreschoolFemaleHumansInfantMachine LearningMaleProspective StudiesProteomicsSignal TransductionBlood ProteinsBioinformaticsCritical carePediatricProteomicsSepsis

Identifiers

PMID41896381
PMCPMC13031189

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.