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采用热解吸和全二维气相色谱高分辨飞行时间质谱法进行呼吸组学诊断系统性硬化症。

Breathomics to diagnose systemic sclerosis using thermal desorption and comprehensive two-dimensional gas chromatography high-resolution time-of-flight mass spectrometry.

机构信息

Molecular System, Organic & Biological Analytical Chemistry Group, University of Liege, 11 Allee du Six Aout, 4000, Liege, Belgium.

Respiratory Medicine, GIGA I3, CHU Liege, 4000, Liege, Belgium.

出版信息

Anal Bioanal Chem. 2021 Jun;413(14):3813-3822. doi: 10.1007/s00216-021-03333-4. Epub 2021 Apr 26.

Abstract

Systemic sclerosis is a rare autoimmune disease associated with rapidly evolving interstitial lung disease, responsible for the disease severity and mortality. Specific biomarkers enabling the early diagnosis and prognosis associated with the disease progression are highly needed. Volatile organic compounds in exhaled breath are widely available and non-invasive and have the potential to reflect metabolic processes occurring within the body. Comprehensive two-dimensional gas chromatography coupled to high-resolution mass spectrometry was used to investigate the potential of exhaled breath to diagnose systemic sclerosis. The exhaled breath of 32 patients and 30 healthy subjects was analyzed. The high resolving power of this approach enabled the detection of 356 compounds in the breath of systemic sclerosis patients, which was characterized by an increase of mainly terpenoids and hydrocarbons. In addition, the use of 4 complementary statistical approaches (two-tailed equal variance t-test, fold change, partial least squares discriminant analysis, and random forest) resulted in the identification of 16 compounds that can be used to discriminate systemic sclerosis patients from healthy subjects. Receiver operating curves were generated that provided an accuracy of 90%, a sensitivity of 92%, and a specificity of 89%. The chemical identification of eight compounds predictive of systemic sclerosis was validated using commercially available standards. The analytical variations together with the volatile composition of room air were carefully monitored during the timeframe of the study to ensure the robustness of the technique. This study represents the first reported evaluation of exhaled breath analysis for systemic sclerosis diagnosis and provides surrogate markers for such disease.

摘要

系统性硬化症是一种罕见的自身免疫性疾病,与快速进展的间质性肺病有关,导致疾病的严重程度和死亡率。非常需要特定的生物标志物来实现早期诊断和预测疾病进展的预后。呼气中的挥发性有机化合物广泛存在且非侵入性,有潜力反映体内发生的代谢过程。综合二维气相色谱法与高分辨率质谱法被用于研究呼气诊断系统性硬化症的潜力。分析了 32 名系统性硬化症患者和 30 名健康受试者的呼气。这种方法的高分辨率能够检测到系统性硬化症患者呼气中的 356 种化合物,其特征是萜烯类和碳氢化合物的含量增加。此外,使用 4 种互补的统计方法(双侧方差相等 t 检验、倍数变化、偏最小二乘判别分析和随机森林),鉴定出 16 种可用于区分系统性硬化症患者和健康受试者的化合物。生成的受试者工作特征曲线提供了 90%的准确率、92%的敏感度和 89%的特异性。使用市售标准验证了预测系统性硬化症的八种化合物的化学鉴定。在研究期间,仔细监测了分析变化和室温空气的挥发性组成,以确保技术的稳健性。本研究代表了首次报道的呼气分析用于系统性硬化症诊断的评估,并为该疾病提供了替代标志物。

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