| Title: | GC-MS analysis of exhaled gas for fine detection of inflammatory diseases |
| Author(s): | Tsutsui K; Nemoto M; Kono M; Sato T; Yoshizawa Y; Yumoto Y; Nakagawa R; Iwamoto T; Wada H; Sasaki T; |
| Address: | "Department of General Internal Medicine, Katsushika Medical Center, The Jikei University School of Medicine, Japan. Department of General Internal Medicine, Katsushika Medical Center, The Jikei University School of Medicine, Japan. Electronic address: mnemoto@jikei.ac.jp. Institute of Clinical Medicine and Research, The Jikei University School of Medicine, Japan; Department of Laboratory Medicine, The Jikei University School of Medicine, Japan. Institute of Clinical Medicine and Research, The Jikei University School of Medicine, Japan; Faculty of Pharmaceutical Sciences, Tokyo University of Science, Japan. Institute of Clinical Medicine and Research, The Jikei University School of Medicine, Japan. Omiya City Clinic, Japan. Core Research Facilities for Basic Science, The Jikei University School of Medicine, Japan. Faculty of Pharmaceutical Sciences, Tokyo University of Science, Japan. Institute of Clinical Medicine and Research, The Jikei University School of Medicine, Japan; Sasaki Institute, Sasaki Foundation, Japan" |
| ISSN/ISBN: | 1096-0309 (Electronic) 0003-2697 (Linking) |
| Abstract: | "Exhaled gas analysis is a non-invasive test ideal for continuous monitoring of biological metabolic information. We analyzed the exhaled gas of patients with inflammatory diseases for trace gas components that could serve as biomarkers that enable early detection of inflammatory diseases and assessment of treatment efficacy. Furthermore, we examined the clinical potential of this method. We enrolled 34 patients with inflammatory disease and 69 healthy participants. Volatile components from exhaled gas were collected and analyzed by a gas chromatography-mass spectrometry system, and the data were examined for gender, age, inflammatory markers, and changes in markers before and after treatment. The data were tested for statistical significance through discriminant analysis by Volcano plot, Analysis of variance test, principal component analysis, and cluster analysis comparing healthy and patient groups. There were no significant differences in the trace components of exhaled gas by gender or age. However, we found differences in some components of the exhaled gas between healthy and untreated patients. In addition, after treatment, gas patterns including the patient-specific components changed to a state closer to the inflammation-free status. We identified trace components in the exhaled gas of patients with inflammatory diseases and found that some of these regressed after treatment" |
| Keywords: | Humans Gas Chromatography-Mass Spectrometry/methods *Volatile Organic Compounds/analysis Breath Tests/methods Biomarkers/analysis Exhalation Exhaled gas marker GC-MS system Inflammatory disease; |
| Notes: | "MedlineTsutsui, Kensuke Nemoto, Masami Kono, Midori Sato, Takako Yoshizawa, Yukio Yumoto, Yoko Nakagawa, Ryo Iwamoto, Takeo Wada, Hiroshi Sasaki, Takashi eng Research Support, Non-U.S. Gov't 2023/04/15 Anal Biochem. 2023 Jun 15; 671:115155. doi: 10.1016/j.ab.2023.115155. Epub 2023 Apr 12" |
