Molecular breath profile of acute COPD exacerbations.

IF 3.7 4区 医学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of breath research Pub Date : 2024-12-16 DOI:10.1088/1752-7163/ad9ac4
Sarah Basler, Noriane A Sievi, Felix Schmidt, Kai Fricke, Alexandra Arvaji, Jonas Herth, Diego M Baur, Pablo Sinues, Silvia Ulrich, Malcolm Kohler
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Abstract

Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) show high variability in individual susceptibility and promote disease progression; thus, accurate diagnosis and treatment is essential. Unravelling the molecular metabolic changes during AECOPD in breath could promote understanding of AECOPD and its treatment. Our objective was to investigate the metabolic breath profiles during AECOPD for biomarker detection. We conducted real-time breath analysis in patients with COPD during AECOPD and during subsequent stable phase. Molecular breath patterns were compared between AECOPD and stable phase by dimension reduction techniques and paired t-tests. Pathway enrichment analyses were performed to investigate underlying metabolic pathways. Partial least-squares discriminant analysis and XGboost were utilised to build a prediction model to differentiate AECOPD from stable state. 35 patients (60% male) with a mean age of 65 (10.2) yr with AECOPD were included. AECOPD could be predicted with a high sensitivity of 82.5% (95% confidence interval of 68.8%-93.8%) and an excellent discriminative power (AUC = 0.86). Metabolic changes in the linoleate, tyrosine, and tryptophan pathways during AECOPD were predominant. Significant metabolic changes occur during COPD exacerbations, predominantly in the linoleate, tyrosine, and tryptophan pathways, which are all linked to inflammation. Real-time exhaled breath analysis enables a good prediction of AECOPD compared to stable state and thus could enhance precision of AECOPD diagnosis and efficacy in clinical practice.

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急性COPD恶化的分子呼吸谱。
背景与目的慢性阻塞性肺疾病(AECOPD)急性加重表现出个体易感性的高度变异性,并促进疾病进展;因此,准确的诊断和治疗至关重要。揭示呼吸中AECOPD的分子代谢变化可以促进对AECOPD及其治疗的认识。我们的目的是研究AECOPD期间的代谢呼吸特征,以检测生物标志物。方法:我们对AECOPD期间和随后的稳定期COPD患者进行了实时呼吸分析。通过降维技术和配对t检验比较AECOPD期和稳定期的分子呼吸模式。通路富集分析 ;用于研究潜在的代谢途径。采用偏最小二乘判别分析 ;和XGboost建立AECOPD与稳定状态的预测模型。 ;结果纳入35例AECOPD患者,其中男性60%,平均年龄65(10.2)岁。预测AECOPD 具有82.5%的高灵敏度(95%置信区间为68.8 ~ 93.8%),具有良好的判别能力(AUC=0.86)。AECOPD期间亚油酸、酪氨酸和色氨酸途径的代谢变化是主要的。结论COPD加重期间发生显著的代谢变化,主要是亚油酸、酪氨酸和色氨酸途径,这些途径都与炎症有关。与稳定状态相比,实时呼气分析可以很好地预测AECOPD,从而提高AECOPD诊断的准确性和临床实践中的疗效。临床试验注册:ClinicalTrials.gov (NCT05456009) ;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of breath research
Journal of breath research BIOCHEMICAL RESEARCH METHODS-RESPIRATORY SYSTEM
CiteScore
7.60
自引率
21.10%
发文量
49
审稿时长
>12 weeks
期刊介绍: Journal of Breath Research is dedicated to all aspects of scientific breath research. The traditional focus is on analysis of volatile compounds and aerosols in exhaled breath for the investigation of exogenous exposures, metabolism, toxicology, health status and the diagnosis of disease and breath odours. The journal also welcomes other breath-related topics. Typical areas of interest include: Big laboratory instrumentation: describing new state-of-the-art analytical instrumentation capable of performing high-resolution discovery and targeted breath research; exploiting complex technologies drawn from other areas of biochemistry and genetics for breath research. Engineering solutions: developing new breath sampling technologies for condensate and aerosols, for chemical and optical sensors, for extraction and sample preparation methods, for automation and standardization, and for multiplex analyses to preserve the breath matrix and facilitating analytical throughput. Measure exhaled constituents (e.g. CO2, acetone, isoprene) as markers of human presence or mitigate such contaminants in enclosed environments. Human and animal in vivo studies: decoding the ''breath exposome'', implementing exposure and intervention studies, performing cross-sectional and case-control research, assaying immune and inflammatory response, and testing mammalian host response to infections and exogenous exposures to develop information directly applicable to systems biology. Studying inhalation toxicology; inhaled breath as a source of internal dose; resultant blood, breath and urinary biomarkers linked to inhalation pathway. Cellular and molecular level in vitro studies. Clinical, pharmacological and forensic applications. Mathematical, statistical and graphical data interpretation.
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