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Updated: Apr 24, 2026

Author Spotlight: Advancing Pathogen Detection and Disease Assessment in Real-Time Using M-ROSE
Published on: March 1, 2024
The current epidemiology and clinical decisions surrounding acute respiratory infections
Aimee K Zaas1, Bronwen H Garner2, Ephraim L Tsalik3
1Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, NC, USA; Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
Abstract:
Acute respiratory infection (ARI) is a common diagnosis in outpatient and emergent care settings. Currently available diagnostics are limited, creating uncertainty in the use of antibacterial, antiviral, or supportive care. Up to 72% of ambulatory care patients with ARI are treated with an antibacterial, despite only a small fraction actually needing one. Antibiotic overuse is not restricted to ambulatory care: ARI accounts for approximately 5 million emergency department (ED) visits annually in the USA, where 52-61% of such patients receive antibiotics. Thus, an accurate test for the presence or absence of viral or bacterial infection is needed. In this review, we focus on recent research showing that the host-response (genomic, proteomic, or miRNA) can accomplish this task.
Insights
Accurate diagnostics are needed for acute respiratory infections (ARI) to reduce antibiotic overuse. Host-response biomarkers show promise for distinguishing bacterial from viral infections, guiding appropriate treatment.
Area of Science:
- Biomedical diagnostics
- Infectious disease research
- Molecular biology
Background:
- Acute respiratory infection (ARI) is a frequent diagnosis in outpatient and emergency settings.
- Current diagnostic methods for ARI are limited, leading to uncertainty in treatment decisions.
- Antibiotic overuse is prevalent in ARI cases, with up to 72% of ambulatory patients and 52-61% of emergency department patients receiving unnecessary antibiotics.
Purpose of the Study:
- To review recent research on host-response biomarkers for diagnosing ARI.
- To highlight the potential of genomic, proteomic, and miRNA signatures in differentiating bacterial from viral infections.
Main Methods:
- Review of current scientific literature on host-response diagnostics for ARI.
- Analysis of studies investigating genomic, proteomic, and miRNA profiles in patients with ARI.
Main Results:
- Host-response signatures (genomic, proteomic, miRNA) show potential for accurately diagnosing ARI.
- These biomarkers can help distinguish between bacterial and viral etiologies of ARI.
Conclusions:
- Host-response biomarkers offer a promising avenue for developing accurate diagnostic tests for ARI.
- Such tests could significantly reduce inappropriate antibiotic use and improve patient care for respiratory infections.
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