Systems Biology Lab, Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India.
Amity Institute of Biotechnology, Amity University Uttar Pradesh, Uttar Pradesh, Lucknow Campus, Lucknow, India.
Mol Diagn Ther. 2023 May;27(3):321-347. doi: 10.1007/s40291-023-00640-7. Epub 2023 Feb 2.
Breath analysis is a relatively recent field of research with much promise in scientific and clinical studies. Breath contains endogenously produced volatile organic components (VOCs) resulting from metabolites of ingested precursors, gut and air-passage bacteria, environmental contacts, etc. Numerous recent studies have suggested changes in breath composition during the course of many diseases, and breath analysis may lead to the diagnosis of such diseases. Therefore, it is important to identify the disease-specific variations in the concentration of breath to diagnose the diseases. In this review, we explore methods that are used to detect VOCs in laboratory settings, VOC constituents in exhaled air and other body fluids (e.g., sweat, saliva, skin, urine, blood, fecal matter, vaginal secretions, etc.), VOC identification in various diseases, and recently developed electronic (E)-nose-based sensors to detect VOCs. Identifying such VOCs and applying them as disease-specific biomarkers to obtain accurate, reproducible, and fast disease diagnosis could serve as an alternative to traditional invasive diagnosis methods. However, the success of VOC-based identification of diseases is limited to laboratory settings. Large-scale clinical data are warranted for establishing the robustness of disease diagnosis. Also, to identify specific VOCs associated with illness states, extensive clinical trials must be performed using both analytical instruments and electronic noses equipped with stable and precise sensors.
呼气分析是一个相对较新的研究领域,在科学和临床研究中具有很大的前景。呼气中含有内源性产生的挥发性有机成分(VOCs),这些成分是由摄入的前体物、肠道和气道细菌、环境接触等代谢物产生的。最近的许多研究表明,许多疾病过程中呼气成分发生了变化,呼气分析可能有助于这些疾病的诊断。因此,识别疾病特异性呼气成分浓度对于诊断疾病非常重要。在这篇综述中,我们探讨了用于检测实验室环境中的 VOCs、呼气和其他体液(如汗液、唾液、皮肤、尿液、血液、粪便、阴道分泌物等)中的 VOC 成分、各种疾病中的 VOC 识别以及最近开发的基于电子(E)鼻的传感器检测 VOCs 的方法。识别这些 VOC 并将其作为疾病特异性生物标志物用于获得准确、可重复和快速的疾病诊断,可以替代传统的有创诊断方法。然而,基于 VOC 的疾病识别的成功受到实验室环境的限制。需要进行大规模的临床研究,以建立疾病诊断的稳健性。此外,为了识别与疾病状态相关的特定 VOC,必须使用配备稳定和精确传感器的分析仪器和电子鼻进行广泛的临床试验。