Development of a new breath collection method for analyzing volatile organic compounds from intubated mouse models.

IF 2.5 Q3 BIOCHEMICAL RESEARCH METHODS Biology Methods and Protocols Pub Date : 2024-11-14 eCollection Date: 2024-01-01 DOI:10.1093/biomethods/bpae087
Alastair Taylor, Sylvia Blum, Madeleine Ball, Owen Birch, Hsuan Chou, Julia Greenwood, Shane Swann, Lara Pocock, Max Allsworth, Billy Boyle, Kerstin Geillinger-Kaestle
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Abstract

A new pre-clinical method for capturing breath samples from intubated mice is presented. This method significantly reduces background levels, allowing more accurate measurements of VOCs originating from the breath ("on-breath") as opposed to background contamination. The method was developed by integrating industry-standard volatile-capturing sorbent tubes with respiratory mechanics measurement equipment (flexiVent®), resulting in a mouse breath sample that can be transported and analyzed by TD-GC-MS and other central lab technologies. Using the methodology, the discrimination between on-breath VOCs from background compounds provides a cleaner dataset, which can accelerate the validation of VOCs identified from mouse models and their translation to clinical trials. Three metrics were developed to identify on-breath VOCs, with 22 identified using Type 1 (50% of the breath samples exceeding three standard deviations above the mean signal of the system blanks), 34 with Type 2 (P-value ≤ .05 between paired breath and blank samples), and 61 with Type 3 (ROC-AUC value ≥ 0.8 to differentiate between breath and blank samples). The number of compounds seen at elevated levels on mouse breath was quantified and compared to the levels seen on human breath samples to compare methodologies.

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开发一种新的呼吸收集方法,用于分析气管插管小鼠模型中的挥发性有机化合物。
提出了一种新的临床前方法,用于捕获气管插管小鼠的呼吸样本。这种方法大大降低了背景水平,可以更准确地测量来自呼吸(“呼吸”)的挥发性有机化合物,而不是背景污染。该方法是通过将行业标准的挥发性捕获吸收管与呼吸力学测量设备(flexvent®)相结合而开发的,从而产生可以通过TD-GC-MS和其他中心实验室技术运输和分析的小鼠呼吸样本。使用该方法,呼气中挥发性有机化合物与背景化合物之间的区别提供了一个更清晰的数据集,这可以加速从小鼠模型中识别出的挥发性有机化合物的验证,并将其转化为临床试验。研究人员开发了3个指标来识别呼气中挥发性有机化合物,其中22个指标为1型(50%的呼气样本超过系统空白平均信号的3个标准差),34个指标为2型(配对呼气样本和空白样本之间的p值≤0.05),61个指标为3型(呼气样本和空白样本之间的ROC-AUC值≥0.8)。研究人员对小鼠呼吸中含量升高的化合物数量进行了量化,并将其与人类呼吸样本中的含量进行了比较,以比较方法。
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来源期刊
Biology Methods and Protocols
Biology Methods and Protocols Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
3.80
自引率
2.80%
发文量
28
审稿时长
19 weeks
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