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Metatranscriptomic profiling reveals pathogen and host response signatures of pediatric acute sinusitis and upper respiratory infection.

Genome medicine2025-03-18PubMed
Total: 79.0Innovation: 9Impact: 7Rigor: 7Citation: 9

Summary

Untargeted RNA-seq of nasopharyngeal samples from 221 children achieved high sensitivity/specificity for common bacterial and viral pathogens versus culture/qRT‑PCR, detected additional untested pathogens, and reconstructed 196 viral genomes. Host-expression signatures distinguished bacterial from viral infections, nominating hundreds of diagnostic biomarker candidates.

Key Findings

  • RNA-seq showed 87%/81% sensitivity/specificity for three AS‑associated bacteria and 86%/92% for 12 respiratory viruses vs clinical tests.
  • Detected 22 additional pathogens not clinically tested and identified plausible agents in 58% of otherwise negative cases.
  • Reconstructed 196 viral genomes (including novel strains) and defined host-response signatures distinguishing bacterial vs viral infections.

Clinical Implications

While not yet ready for routine care, metatranscriptomic diagnostics could reduce unnecessary antibiotics by resolving viral vs bacterial etiologies; host-response markers may be translated into rapid assays.

Why It Matters

This study integrates pathogen detection with host-response profiling at scale, creating a unique dataset and revealing actionable biomarker candidates for distinguishing bacterial from viral pediatric URIs.

Limitations

  • Single time‑point sampling; no prospective clinical utility assessment or impact on antibiotic prescribing
  • Cost, turnaround time, and bioinformatics infrastructure remain barriers for routine deployment

Future Directions

Prospective validation in pragmatic trials linking RNA‑seq outputs to antibiotic decisions; translate host‑response gene sets into rapid point‑of‑care assays.

Study Information

Study Type
Cohort
Research Domain
Diagnosis
Evidence Level
III - Prospective/observational cohort-style diagnostic accuracy study with benchmarking to reference tests.
Study Design
OTHER