A1 Refereed original research article in a scientific journal
Host gene expression analysis in the detection of bacterial and viral etiology in children hospitalized with a suspected severe infection
Authors: Piri, Ruut; Valta, Milla; Lempainen, Johanna; Ivaska, Lauri; Ezer, Sini; Kere, Juha; Katayama, Shintaro; Peltola, Ville
Publication year: 2026
Journal: Communications medicine
Article number: 204
Volume: 6
eISSN: 2730-664X
DOI: https://doi.org/10.1038/s43856-025-01370-z
Publication's open availability at the time of reporting: Open Access
Publication channel's open availability : Open Access publication channel
Web address : https://doi.org/10.1038/s43856-025-01370-z
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/522993096
Self-archived copy's licence: CC BY NC ND
Self-archived copy's version: Publisher`s PDF
Background
Host 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.
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Funding information in the publication:
This work was supported by the University of Turku (to R.P.); Research funds from specified government transfers to hospital district of Southwest Finland (to R.P. and V.P.); the Foundation for Pediatric Research (to R.P. and V.P.); Maud Kuistila Memorial Foundation (2021-0105B to R.P.); and Päivikki and Sakari Sohlberg Foundation (230055 to R.P.). The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.