ArticleThe Journal of infectious diseases2025
Transcriptomic Biomarkers Associated With Microbiological Etiology and Disease Severity in Childhood Pneumonia.
Article in The Journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Scenario-Driven Rapid Testing for Top Pathogens in Pediatric Respiratory Infections: Clinical and Economic Value from Emergency Triage to Precision Anti-Infective Management in the PICU.Pathogens (Basel, Switzerland) · 2026Review
- Combining spatial and single-cell transcriptome data to analyze tertiary lymphoid structures in clear cell renal cell carcinoma reveals prognostic biomarkers.Journal of translational medicine · 2026Article
- A four-gene signature from blood to exclude bacterial etiology of lower respiratory tract infection in adults.Nature communications · 2025Article
- Inclusion of Women, Children, the Elderly, and Individuals With Underlying Medical Conditions: Prioritizing Vulnerable Populations in Clinical Research.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025Article
- A Four-Gene Signature from Blood to Exclude Bacterial Etiology of Lower Respiratory Tract Infection in Adults.Research square · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
backgroundChallenges remain in discerning microbiologic etiology and disease severity in childhood pneumonia. Defining host transcriptomic profiles during illness may facilitate improved diagnostic and prognostic approaches.
methodsUsing whole blood RNA sequencing from 222 hospitalized children with radiographic pneumonia and 45 age-matched controls, we identified differentially expressed (DE) genes that best identified children according to detected microbial pathogens (viral only vs bacterial only and typical vs atypical bacterial [with or without [±] viral co-detection]) and an ordinal measure of phenotypic severity (moderate, severe, very severe).
resultsOverall, 135 (61%) children had viral-only detections, 15 (7%) had typical bacterial detections (± viral co-detections), and 26 (12%) had atypical bacterial detections (± viral co-detections). Eleven DE genes distinguished between viral-only and bacterial-only detections. Sixteen DE genes distinguished between atypical and typical bacterial detections (± viral co-detections). Nineteen DE genes distinguished between levels of pneumonia severity, including 4 genes also identified in the viral-only versus bacterial-only model (IGHGP, PI3, CD177, RAP1GAP1) and 4 genes from the typical versus atypical bacterial model (PRSS23, IFI27, OLFM4, ABO).
conclusionsWe identified transcriptomic biomarkers associated with microbial detections and phenotypic severity in children hospitalized with pneumonia. These DE genes are promising candidates for validation and translation into diagnostic and prognostic tools.
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