通过准确区分呼吸中的内源性和外源性挥发物推进呼吸组学的发展

IF 10.8 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Zhengnan Cen, Yuerun Huang, Shangzhewen Li, Shanshan Dong, Wenshan Wang, Xiang Li
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引用次数: 0

摘要

呼吸组学是暴露监测和临床诊断中一个不断发展的领域,但由于成因不明,其准确性面临挑战。本研究旨在通过将呼出的挥发性有机化合物(VOCs)分为内源性和外源性来提高呼吸组学在各个前沿领域的潜力。通过 TD-GC × GC-TOF MS/FID 分析环境空气和 271 名志愿者的呼气样本,我们鉴定并量化了呼气中 50 种常见的挥发性有机化合物。我们采用先进的定量结构-属性关系和分区模型来获得 VOCs 的动力学参数。这种深入的方法使我们能够准确确定肺泡中的挥发性有机化合物浓度,并进一步辨别其来源,从而促进呼吸组学在暴露评估和疾病诊断中的个性化应用。我们的研究结果表明,长期的外部暴露会使人类成为二次污染源。对内源性挥发性有机化合物的分析表明,内部暴露比外部暴露对健康的危害更大。此外,通过校正环境背景,我们将胃肠道疾病诊断模型的准确性提高了 15-25%。通过分区模型确定挥发性有机化合物来源的这一进展有望提升呼吸组学的临床相关性,标志着暴露评估和精准医学的飞跃。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Advancing Breathomics through Accurate Discrimination of Endogenous from Exogenous Volatiles in Breath

Advancing Breathomics through Accurate Discrimination of Endogenous from Exogenous Volatiles in Breath
Breathomics, a growing field in exposure monitoring and clinical diagnostics, has faced accuracy challenges due to unclear contributing factors. This study aims to enhance the potential of breathomics in various frontiers by categorizing exhaled volatile organic compounds (VOCs) as endogenous or exogenous. Analyzing ambient air and breath samples from 271 volunteers via TD-GC × GC-TOF MS/FID, we identify and quantify 50 common VOCs in exhaled breath. Advanced quantitative structure–property relationships and compartment models are employed to obtain VOCs kinetic parameters. This in-depth approach allows us to accurately determine the alveolar concentration of VOCs and further discern their origins, facilitating personalized application of breathomics in exposure assessment and disease diagnosis. Our findings demonstrate that prolonged external exposure turns humans into secondary pollutant sources. Analysis of endogenous VOCs reveals that internal exposure poses more significant health risks than external. Moreover, by correcting environmental backgrounds, we improve the accuracy of gastrointestinal disease diagnostic models by 15–25%. This advancement in identifying VOC origins via compartmental models promises to elevate the clinical relevance of breathomics, marking a leap forward in exposure assessment and precision medicine.
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来源期刊
环境科学与技术
环境科学与技术 环境科学-工程:环境
CiteScore
17.50
自引率
9.60%
发文量
12359
审稿时长
2.8 months
期刊介绍: Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences. Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.
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