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一种用于分析来自插管小鼠模型的挥发性有机化合物的新型呼气收集方法的开发。

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

作者信息

Taylor Alastair, Blum Sylvia, Ball Madeleine, Birch Owen, Chou Hsuan, Greenwood Julia, Swann Shane, Pocock Lara, Allsworth Max, Boyle Billy, Geillinger-Kaestle Kerstin

机构信息

Owlstone Medical, Cambridge, CB4 0GA, United Kingdom.

Boehringer Ingelheim, Biberach, 88397, Germany.

出版信息

Biol Methods Protoc. 2024 Nov 14;9(1):bpae087. doi: 10.1093/biomethods/bpae087. eCollection 2024.

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 (-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.

摘要

本文介绍了一种从插管小鼠采集呼吸样本的新的临床前方法。该方法显著降低了背景水平,相较于背景污染,能够更准确地测量源自呼吸的挥发性有机化合物(“呼吸时”)。该方法是通过将行业标准的挥发性捕获吸附管与呼吸力学测量设备(flexiVent)相结合而开发的,从而得到一个可通过热脱附气相色谱 - 质谱联用仪(TD-GC-MS)和其他中心实验室技术进行运输和分析的小鼠呼吸样本。使用该方法,呼吸时的挥发性有机化合物与背景化合物之间的区分提供了一个更纯净的数据集,这可以加速从小鼠模型中鉴定出的挥发性有机化合物的验证及其向临床试验的转化。开发了三个指标来识别呼吸时的挥发性有机化合物,其中22种通过类型1识别(50%的呼吸样本超过系统空白平均信号的三个标准差以上),34种通过类型2识别(配对的呼吸样本和空白样本之间的p值≤0.05),61种通过类型3识别(ROC-AUC值≥0.8以区分呼吸样本和空白样本)。对小鼠呼吸中检测到的含量升高的化合物数量进行了定量,并与人类呼吸样本中的含量进行比较,以对比方法。

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