Evidence map›Paper›PMID 42112460›Full record

ArticleFrontiers in cellular and infection microbiology2026

RNA profiles in extracellular vesicles from severe sepsis and meningitis patients reveal pathogen-specific immune signatures in meningococcal versus pneumococcal infections.

Berit Sletbakk Brusletto, Kari Bente Foss Haug, Iselin Sandnes Olsen, Mari Kaarbø, Ole Kristoffer Olstad, Trude Aspelin, Erik Koldberg Amundsen, Petter Brandtzaeg, Reidun Øvstebø

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Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Berit Sletbakk BruslettoDepartment of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.
Kari Bente Foss HaugDepartment of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.
Iselin Sandnes OlsenDepartment of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.
Mari KaarbøDepartment of Microbiology, Oslo University Hospital, Oslo, Norway.
Ole Kristoffer OlstadDepartment of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.
Trude AspelinDepartment of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.
Erik Koldberg AmundsenDepartment of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.
Petter BrandtzaegDepartment of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.
Reidun ØvstebøDepartment of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigates host-pathogen interactions by comparing RNA profiles in plasma extracellular vesicles (EVs) from patients with severe sepsis or meningitis caused by Methods: Plasma samples from patients with meningococcal septic shock, meningococcal meningitis, pneumococcal infection, and healthy controls were analyzed. EVs were isolated by size exclusion chromatography, and EV derived RNA isolated by ExoRNeasy for examination by microarray. Ingenuity Pathway Analysis searched for pathogen specific EV-RNA signatures and predicted effects on biofunctions and canonical pathways. Additionally, the plasma EV-RNA profiles from the meningococcal sepsis patients were compared with previously published transcriptomic data from post-mortem organ tissue from patients who died from Results: Transcriptomic profiling detected 14,909 EV-RNAs, enriched for small RNAs and canonical markers, and distinct molecular signatures across the disease groups. Patients with meningococcal septic shock displayed the most pronounced transcriptomic dysregulation, followed by milder changes in meningococcal meningitis, whereas pneumococcal disease exhibited broad pathway inhibition. S100A12, S100A8/A9 and AQP9 and plasma calprotectin were consistently elevated in all patient groups. Pathway analysis demonstrated strong activation of inflammatory and immune signaling in meningococcal septic shock, weaker activation in meningitis, and inhibition of multiple pathways in pneumococcal infection. Importantly, EV-RNA plasma profiles from meningococcal septic shock patients closely mirrored transcriptomic patterns in postmortem organ tissues detected in a previous study of lethal meningococcal shock patients. Conclusions: This study is the first to identify specific EV-RNA profiles in plasma from patients infected with

Indexed as

Extracellular VesiclesHost-Pathogen InteractionsMeningitis, MeningococcalMeningitis, PneumococcalPneumococcal InfectionsRNASepsisAdultBiomarkersFemaleGene Expression ProfilingHumansMaleMeningococcal InfectionsMiddle AgedNeisseria meningitidisBiomarkersRNAcalprotectin (S100A8/S100A9)extracellular vesicles (EVs) in plasmahost-pathogen interactionsNeisseria meningitidis (meningococcus)post-mortem tissue samplesRNA profilesseptic shock (MeSH)Streptococcus pneumoniae (pneumococcus)

Identifiers

PMID42112460
PMCPMC13153109

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