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Detection of COVID-19 by quantitative analysis of carbonyl compounds in exhaled breath.
Xie, Zhenzhen; Morris, James D; Pan, Jianmin; Cooke, Elizabeth A; Sutaria, Saurin R; Balcom, Dawn; Marimuthu, Subathra; Parrish, Leslie W; Aliesky, Holly; Huang, Justin J; Rai, Shesh N; Arnold, Forest W; Huang, Jiapeng; Nantz, Michael H; Fu, Xiao-An.
Afiliación
  • Xie Z; Department of Chemical Engineering, University of Louisville, Louisville, KY, USA.
  • Morris JD; Department of Chemical Engineering, University of Louisville, Louisville, KY, USA.
  • Pan J; Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
  • Cooke EA; The Cancer Data Science Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
  • Sutaria SR; Biostatistics and Informatics Shared Resource, University of Cincinnati Cancer Center, Cincinnati, OH, USA.
  • Balcom D; Department of Anesthesiology and Perioperative Medicine, University of Louisville, Louisville, KY, USA.
  • Marimuthu S; Department of Chemistry, University of Louisville, Louisville, KY, USA.
  • Parrish LW; Division of Infectious Diseases, Department of Medicine, University of Louisville, Louisville, KY, USA.
  • Aliesky H; Division of Infectious Diseases, Department of Medicine, University of Louisville, Louisville, KY, USA.
  • Huang JJ; Division of Infectious Diseases, Department of Medicine, University of Louisville, Louisville, KY, USA.
  • Rai SN; Division of Infectious Diseases, Department of Medicine, University of Louisville, Louisville, KY, USA.
  • Arnold FW; DuPont Manual High School, Louisville, KY, USA.
  • Huang J; Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
  • Nantz MH; The Cancer Data Science Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
  • Fu XA; Biostatistics and Informatics Shared Resource, University of Cincinnati Cancer Center, Cincinnati, OH, USA.
Sci Rep ; 14(1): 14568, 2024 06 24.
Article en En | MEDLINE | ID: mdl-38914586
ABSTRACT
COVID-19 has caused a worldwide pandemic, creating an urgent need for early detection methods. Breath analysis has shown great potential as a non-invasive and rapid means for COVID-19 detection. The objective of this study is to detect patients infected with SARS-CoV-2 and even the possibility to screen between different SARS-CoV-2 variants by analysis of carbonyl compounds in breath. Carbonyl compounds in exhaled breath are metabolites related to inflammation and oxidative stress induced by diseases. This study included a cohort of COVID-19 positive and negative subjects confirmed by reverse transcription polymerase chain reaction between March and December 2021. Carbonyl compounds in exhaled breath were captured using a microfabricated silicon microreactor and analyzed by ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS). A total of 321 subjects were enrolled in this study. Of these, 141 (85 males, 60.3%) (mean ± SD age 52 ± 15 years) were COVID-19 (55 during the alpha wave and 86 during the delta wave) positive and 180 (90 males, 50%) (mean ± SD age 45 ± 15 years) were negative. Panels of a total of 34 ketones and aldehydes in all breath samples were identified for detection of COVID-19 positive patients. Logistic regression models indicated high accuracy/sensitivity/specificity for alpha wave (98.4%/96.4%/100%), for delta wave (88.3%/93.0%/84.6%) and for all COVID-19 positive patients (94.7%/90.1%/98.3%). The results indicate that COVID-19 positive patients can be detected by analysis of carbonyl compounds in exhaled breath. The technology for analysis of carbonyl compounds in exhaled breath has great potential for rapid screening and detection of COVID-19 and for other infectious respiratory diseases in future pandemics.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Pruebas Respiratorias / SARS-CoV-2 / COVID-19 Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Pruebas Respiratorias / SARS-CoV-2 / COVID-19 Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos