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Rapid Molecular Detection and Differentiation of Influenza Viruses A and B
Published on: January 30, 2017
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Breath Biomarkers of Influenza Infection
Patrick J Danaher1, Michael Phillips2, Peter Schmitt3
1Medicine Service, Infectious Diseases Section, South Texas Veterans Health Care System, San Antonio, Texas, USA.
Open Forum Infectious Diseases
|October 21, 2022
Summary
A breath test can detect influenza by identifying volatile organic compounds (VOCs) in exhaled breath. This novel diagnostic approach shows promise for rapid, point-of-care testing for respiratory infections.
Area of Science:
- Analytical Chemistry
- Respiratory Medicine
- Biomarker Discovery
Background:
- Volatile organic compounds (VOCs) are systemic byproducts of physiological states like oxidative stress.
- Exhaled breath contains VOCs that may serve as indicators for respiratory infections.
- Preliminary data suggest breath testing is a viable diagnostic method for viral respiratory illnesses.
Purpose of the Study:
- To investigate the potential of breath volatile organic compounds (VOCs) as biomarkers for influenza.
- To develop a breath test capable of accurately diagnosing influenza in patients with influenza-like illness (ILI).
Main Methods:
- Collected breath samples from 237 patients with ILI over two years.
- Analyzed VOCs using gas chromatography-mass spectrometry (GC-MS).
- Utilized polymerase chain reaction (PCR) assays for influenza confirmation and biomarker analysis.
Main Results:
- Identified 20 candidate VOCs that distinguished influenza patients from non-influenza patients.
- Developed a predictive algorithm using 4 VOC biomarkers with 78% accuracy (74% sensitivity, 70% specificity).
- The identified biomarkers were primarily n-alkane derivatives, suggesting a link to oxidative stress.
Conclusions:
- Breath VOC analysis accurately identified influenza in ILI patients.
- Findings support the feasibility of a rapid, point-of-care influenza diagnostic test using breath VOCs.
- Future research will focus on simplifying breath collection methods for clinical translation.

