Mpolokang Atlang Gild, Setlhare Tlotlo Cassandra, Bhattacharyya Somnath, Chimowa George
Department of Physics and Astronomy, Botswana International University of Science and Technology, Private Bag 16, Palapye, Botswana.
Nanoscale Transport Physics Laboratory, School of Physics, University of the Witwatersrand, Wits, P. Box 2, Johannesburg, 2050, South Africa.
Sci Rep. 2025 Feb 12;15(1):5197. doi: 10.1038/s41598-025-89178-8.
Tuberculosis (TB) remains a leading global cause of mortality, necessitating the development of innovative diagnostic approaches for early and accurate detection. Existing diagnostic methods are invasive, time-intensive, and contribute to delays in diagnosis, thereby exacerbating disease progression in patients and facilitating community transmission. To address these limitations, this study investigated human breath samples to identify volatile organic compounds (VOCs) associated with active TB as potential non-invasive biomarkers. VOCs were analysed using gas chromatography-mass spectrometry (GC-MS), supported by AMDIS and OpenChrom software for compound identification. The findings revealed the presence of previously unreported VOCs associated to breath samples from patients with active TB and multidrug-resistant TB (MDR-TB), which were absent in control participants without TB symptoms. Furthermore, the results suggest the feasibility of differentiating MDR-TB from active TB based on breath VOC profiles, marking a novel observation. These findings underpin the development of a non-invasive breathalyser diagnostic device for TB, with the potential to enhance disease management and reduce transmission.
结核病(TB)仍然是全球主要的死亡原因之一,因此需要开发创新的诊断方法以实现早期准确检测。现有的诊断方法具有侵入性、耗时且会导致诊断延迟,从而加剧患者的疾病进展并促进社区传播。为解决这些局限性,本研究对人体呼出气体样本进行了调查,以识别与活动性结核病相关的挥发性有机化合物(VOCs)作为潜在的非侵入性生物标志物。使用气相色谱-质谱联用仪(GC-MS)对VOCs进行分析,并借助AMDIS和OpenChrom软件进行化合物鉴定。研究结果显示,在无结核病症状的对照参与者中不存在的、与活动性结核病和耐多药结核病(MDR-TB)患者呼出气体样本相关的挥发性有机化合物被发现。此外,结果表明基于呼出气体VOCs谱区分耐多药结核病和活动性结核病具有可行性,这是一项新发现。这些发现为开发用于结核病的非侵入性呼气分析仪诊断设备奠定了基础,该设备有可能改善疾病管理并减少传播。