Evidence map›Paper›PMID 41957472›Full record

ArticleCommunications medicine2026

Host gene expression analysis in the detection of bacterial and viral etiology in children hospitalized with a suspected severe infection.

Ruut Piri, Milla Valta, Johanna Lempainen, Lauri Ivaska, Sini Ezer, Juha Kere, Shintaro Katayama, Ville Peltola

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Article in Communications medicine, 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ruut PiriDepartment of Paediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland. ruut.piri@utu.fi.ORCID http://orcid.org/0000-0003-2637-4185
Milla ValtaImmunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland.
Johanna LempainenDepartment of Paediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland.ORCID http://orcid.org/0000-0001-9893-1468
Lauri IvaskaDepartment of Paediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland.ORCID http://orcid.org/0000-0001-8935-5032
Sini EzerFolkhälsan Research Center, Helsinki, Finland.
Juha KereFolkhälsan Research Center, Helsinki, Finland.ORCID http://orcid.org/0000-0003-1974-0271
Shintaro KatayamaFolkhälsan Research Center, Helsinki, Finland.
Ville PeltolaDepartment of Paediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHost gene expression profiling holds great potential in improving the differential diagnostics of bacterial and viral infections. We investigated its discriminative value in children with suspected serious infections.

methodsPeripheral blood gene expression profiles were analyzed by RNA sequencing in 268 children aged between 4 weeks and 16 years: 211 hospitalized due to a suspected severe infection, 15 with a confirmed viral respiratory tract infection managed as outpatients, and 42 healthy control children. We classified children according to the bacterial, viral, or other etiology of their final diagnosis, and determined expression profiles. We derived 2-transcript signatures discriminating bacterial infections and viral-bacterial co-infections from viral infections in a discovery group (n = 101) of children with respiratory tract infections and validated them in children (n = 109) with non-respiratory infections, including cases with probable and mixed etiologies in the analyses.

resultsHere, we show that clustering of blood transcriptome cannot be unequivocally explained by the etiology of infection. A 2-transcript signature comprising TSPO and SECISBP2 genes differentiates bacterial and viral-bacterial co-infections from viral infections with an area under the curve of 0.93 and 0.87 (95% confidence interval, 0.88-0.98 and 0.82-0.92) in the discovery and discovery plus validation groups, respectively. Both groups combined, the sensitivity is 77%, and specificity 87%.

conclusionsThe identified 2-transcript signature demonstrates good accuracy in distinguishing between bacterial and viral infections in a complex population of children hospitalized for suspected severe infection. Heterogeneity of clinical manifestations needs to be considered in diagnostic gene expression studies.

Identifiers

PMID41957472
PMCPMC13066434

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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.