| Title: | Predicting Influenza and Rhinovirus Infections in Airway Cells Utilizing Volatile Emissions |
| Author(s): | McCartney MM; Linderholm AL; Yamaguchi MS; Falcon AK; Harper RW; Thompson GR; Ebeler SE; Kenyon NJ; Davis CE; Schivo M; |
| Address: | "Mechanical and Aerospace Engineering, University of California Davis, Davis, California, USA. Veterans Affairs Northern California Health Care System, Mather, California, USA. Center for Comparative Respiratory Biology and Medicine, University of California Davis, Davis, California, USA. Department of Internal Medicine, University of California Davis, Sacramento, California, USA. Department of Medical Microbiology and Immunology, University of California Davis, Davis, California, USA. Department of Internal Medicine - Division of Infectious Diseases, University of California Davis, Davis, California, USA. Viticulture and Enology, University of California Davis, University of California Davis, Davis, California, USA" |
| ISSN/ISBN: | 1537-6613 (Electronic) 0022-1899 (Print) 0022-1899 (Linking) |
| Abstract: | "BACKGROUND: Respiratory viral infections are common and potentially devastating to patients with underlying lung disease. Diagnosing viral infections often requires invasive sampling, and interpretation often requires specialized laboratory equipment. Here, we test the hypothesis that a breath test could diagnose influenza and rhinovirus infections using an in vitro model of the human airway. METHODS: Cultured primary human tracheobronchial epithelial cells were infected with either influenza A H1N1 or rhinovirus 1B and compared with healthy control cells. Headspace volatile metabolite measurements of cell cultures were made at 12-hour time points postinfection using a thermal desorption-gas chromatography-mass spectrometry method. RESULTS: Based on 54 compounds, statistical models distinguished volatile organic compound profiles of influenza- and rhinovirus-infected cells from healthy counterparts. Area under the curve values were 0.94 for influenza, 0.90 for rhinovirus, and 0.75 for controls. Regression analysis predicted how many hours prior cells became infected with a root mean square error of 6.35 hours for influenza- and 3.32 hours for rhinovirus-infected cells. CONCLUSIONS: Volatile biomarkers released by bronchial epithelial cells could not only be used to diagnose whether cells were infected, but also the timing of infection. Our model supports the hypothesis that a breath test could serve to diagnose viral infections" |
| Keywords: | "Biomarkers *Communicable Diseases Humans *Influenza A Virus, H1N1 Subtype *Influenza, Human/diagnosis/metabolism Rhinovirus *Volatile Organic Compounds/analysis VOCs diagnostics influenza mass spectrometry;" |
| Notes: | "MedlineMcCartney, Mitchell M Linderholm, Angela L Yamaguchi, Mei S Falcon, Alexandria K Harper, Richart W Thompson, George R Ebeler, Susan E Kenyon, Nicholas J Davis, Cristina E Schivo, Michael eng U01 EB022003/EB/NIBIB NIH HHS/ I01 BX004965/BX/BLRD VA/ U18 TR003795/TR/NCATS NIH HHS/ T32 HL007013/HL/NHLBI NIH HHS/ K23 HL127185/HL/NHLBI NIH HHS/ UH3 OD023365/OD/NIH HHS/ UL1 TR001860/TR/NCATS NIH HHS/ P30 ES023513/ES/NIEHS NIH HHS/ Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. 2021/04/16 J Infect Dis. 2021 Nov 22; 224(10):1742-1750. doi: 10.1093/infdis/jiab205" |
