Evidence map›Paper›PMID 42611865›Full record

ArticlePloS one2026

Transcriptome profile of delayed mortality in patients with invasive group A Streptococcal disease.

Ville Kailankangas, Shintaro Katayama, Kirsi Gröndahl-Yli-Hannuksela, Johanna Vilhonen, Mari Hannele Tervaniemi, Kaisu Rantakokko-Jalava, Tapio Seiskari, Emilia Lönnqvist, Juha Kere, Jarmo Oksi and 2 more

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Article in PloS one, 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

12 authors.

Ville KailankangasFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID https://orcid.org/0000-0001-9917-2782
Shintaro KatayamaFolkhälsan Research Center, Helsinki, Finland.
Kirsi Gröndahl-Yli-HannukselaInstitute of Biomedicine, University of Turku, Turku, Finland.
Johanna VilhonenDepartment of Infectious Diseases, Turku University Hospital, Turku, Finland.
Mari Hannele TervaniemiFolkhälsan Research Center, Helsinki, Finland.
Kaisu Rantakokko-JalavaInstitute of Biomedicine, University of Turku, Turku, Finland.
Tapio SeiskariDepartment of Clinical Microbiology, Fimlab Laboratories, Tampere, Finland.
Emilia LönnqvistDepartment of Clinical Microbiology, Fimlab Laboratories, Tampere, Finland.
Juha KereFolkhälsan Research Center, Helsinki, Finland.
Jarmo OksiDepartment of Infectious Diseases, Turku University Hospital, Turku, Finland.
Jaana SyrjänenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Jaana VuopioInstitute of Biomedicine, University of Turku, Turku, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur aim was to study the pathophysiological mechanisms of early (<7 days) and delayed sepsis mortality by transcriptome profiling of cases with invasive group A Streptococcal (iGAS) infections and possibly find predictors for delayed mortality.

methodsWe recruited cases with iGAS from June 2018 to June 2020. Whole blood samples were collected at the early timepoint (within two days after admission, timepoint A) and later timepoint (a week later, timepoint B) to perform transcriptome analysis. A comparison of gene expression against disease course was done using weighted genome correlation network analysis.

resultsWe recruited 45 patients. Eight patients died within 90 days, four of whom within the first week. After RNA quality control 34 and 31 subjects at timepoints A and B remained, respectively. The gene expression profiles associated with a severe disease course differed markedly between timepoints A and B. High expression of necroptosis factors and low expression of HLA genes at timepoint B was associated with death.

conclusionsThe seemingly different gene expression profile over time among patients with a severe iGAS disease may suggest distinct pathophysiological mechanisms for early and delayed sepsis mortality. However, as our sample size was small, these findings must be considered with caution and should not be interpreted as predictive.

Indexed as

SepsisStreptococcal InfectionsStreptococcus pyogenesTranscriptomeAdultAgedFemaleGene Expression ProfilingHumansMaleMiddle Aged

Identifiers

PMID42611865
PMCPMC13484954

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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.