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.
Anal Biochem. 2023 Jun 15;671:115155. doi: 10.1016/j.ab.2023.115155. Epub 2023 Apr 12.
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.
呼气气体分析是一种非侵入性的测试方法，非常适合连续监测生物代谢信息。我们分析了炎症性疾病患者的呼气气体中的痕量气体成分，这些成分可能作为生物标志物，用于早期发现炎症性疾病和评估治疗效果。此外，我们还研究了这种方法的临床潜力。我们招募了 34 名炎症性疾病患者和 69 名健康参与者。通过气相色谱-质谱联用系统收集和分析呼气气体中的挥发性成分，并对性别、年龄、炎症标志物以及治疗前后标志物的变化进行了检查。通过 Volcano 图、方差分析检验、主成分分析和聚类分析对健康组和患者组进行判别分析，对数据进行了统计学意义的检验。性别或年龄对呼气气体中的痕量成分没有显著差异。然而，我们发现健康人和未经治疗的患者之间的呼气气体中的一些成分存在差异。此外，治疗后，包括患者特有的成分在内的气体模式发生变化，更接近无炎症状态。我们鉴定了炎症性疾病患者呼气气体中的痕量成分，发现其中一些成分在治疗后有所减少。
