Non-volatile organic compounds in exhaled breath particles correspond to active tuberculosis.
Non-volatile organic compounds in exhaled breath particles correspond to active tuberculosis.
复制标题
呼出的呼吸颗粒中的非挥发性有机化合物对应于活性结核病。
DOI：
10.1038/s41598-022-12018-6
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发表时间：
2022-05-13
影响因子：
4.6
通讯作者：
中科院分区：
文献类型：
--
作者：
人类呼吸中含有微量的非挥发性有机化合物（NOC），这可能为评估个人健康提供非侵入性方法。在以前的工作中，我们证明了呼出气溶胶（EBA）中检测到的脂质可用作活动性结核病（TB）的标志物。在这里，我们改进了我们的分析平台，用于表征从参加临床试验的参与者中收集的EBA样本中的小代谢物和脂质，这些临床试验旨在识别活动性TB的分子特征。来自26名活动性TB参与者和73名健康参与者的EBA样本使用双相提取方法进行处理，并通过质谱数据库匹配鉴定代谢物和脂质。总共鉴定了13种代谢物和9种脂质标志物，在诊断为活动性TB的个体和健康对照之间具有统计学上不同的优化相对标准偏差值。重要的是，EBA脂质谱可用于分离两种样品类型，表明所鉴定分子的诊断潜力。一个特征排序算法将这个数字减少到10个分子，膜甘油磷脂，磷脂酰肌醇24：4，成为两组之间分离的主要驱动因素。这些结果支持使用这种方法从活动性结核病例的EBA样本中鉴定一致的NOC特征。这表明有可能将这种方法应用于改变呼吸道NOC释放的其他人类疾病。
Human breath contains trace amounts of non-volatile organic compounds (NOCs) which might provide non-invasive methods for evaluating individual health. In previous work, we demonstrated that lipids detected in exhaled breath aerosol (EBA) could be used as markers of active tuberculosis (TB). Here, we advanced our analytical platform for characterizing small metabolites and lipids in EBA samples collected from participants enrolled in clinical trials designed to identify molecular signatures of active TB. EBA samples from 26 participants with active TB and 73 healthy participants were processed using a dual-phase extraction method, and metabolites and lipids were identified via mass spectrometry database matching. In total, 13 metabolite and 9 lipid markers were identified with statistically different optimized relative standard deviation values between individuals diagnosed with active TB and the healthy controls. Importantly, EBA lipid profiles can be used to separate the two sample types, indicating the diagnostic potential of the identified molecules. A feature ranking algorithm reduced this number to 10 molecules, with the membrane glycerophospholipid, phosphatidylinositol 24:4, emerging as the top driver of segregation between the two groups. These results support the use of this approach to identify consistent NOC signatures from EBA samples in active TB cases. This suggests the potential to apply this method to other human diseases which alter respiratory NOC release.
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影响因子：
3.7
作者：
Weiner J 3rd;Parida SK;Maertzdorf J;Black GF;Repsilber D;Telaar A;Mohney RP;Arndt-Sullivan C;Ganoza CA;Faé KC;Walzl G;Kaufmann SH
通讯作者：
Kaufmann SH
影响因子：
--
作者：
Patterson, Benjamin;Morrow, Carl;Wood, Robin
通讯作者：
Wood, Robin
影响因子：
3.8
作者：
Schallschmidt, Kristin;Becker, Roland;Nehls, Irene
通讯作者：
Nehls, Irene
影响因子：
1.9
作者：
PEI, PTS;HENLY, RS;RAMACHANDRAN, S
通讯作者：
RAMACHANDRAN, S
影响因子：
6.1
作者：
Feng S;Du YQ;Zhang L;Zhang L;Feng RR;Liu SY
通讯作者：
Liu SY