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气相色谱-质谱联用(GC-MS)用于慢性冠状动脉综合征(CCS)的呼吸分析:一项概念验证研究。

Breath Analysis via Gas Chromatography-Mass Spectrometry (GC-MS) in Chronic Coronary Syndrome (CCS): A Proof-of-Concept Study.

作者信息

Lombardi Marco, Segreti Andrea, Miglionico Marco, Pennazza Giorgio, Tocca Lorenzo, Amendola Luca, Vergallo Rocco, Di Sciascio Germano, Porto Italo, Grigioni Francesco, Antonelli Incalzi Raffaele

机构信息

Department of Internal Medicine, University of Genova, 16132 Genova, Italy.

Research Unit of Cardiovascular Science, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.

出版信息

J Clin Med. 2024 Oct 1;13(19):5857. doi: 10.3390/jcm13195857.

Abstract

This proof-of-concept study aimed to assess the diagnostic potential of gas chromatography-mass spectrometry (GC-MS) in profiling volatile organic compounds (VOCs) from exhaled breath as a diagnostic tool for the chronic coronary syndrome (CCS). Exhaled air was collected from patients undergoing invasive coronary angiography (ICA), with all samples obtained prior to ICA. Post hoc, patients were divided into groups based on coronary lesion severity and indications for revascularization. VOCs in the breath samples were analyzed using GC-MS. This study included 23 patients, of whom 11 did not require myocardial revascularization and 12 did. GC-MS analysis successfully classified 10 of the 11 patients without the need for revascularization (sensitivity of 91%), and 7 of the 12 patients required revascularization (specificity 58%). In subgroup analysis, GC-MS demonstrated 100% sensitivity in identifying patients with significant coronary lesions requiring intervention when the cohort was divided into three groups. A total of 36 VOCs, including acetone, ethanol, and phenol, were identified as distinguishing markers between patient groups. Patients with CCS exhibited a unique fingerprint of exhaled breath, which was detectable with GC-MS. These findings suggest that GC-MS analysis could be a reliable and non-invasive diagnostic tool for CCS. Further studies with larger cohorts are necessary to validate these results and explore the potential integration of VOC analysis into clinical practice.

摘要

这项概念验证研究旨在评估气相色谱-质谱联用技术(GC-MS)分析呼出气中挥发性有机化合物(VOCs)作为慢性冠状动脉综合征(CCS)诊断工具的诊断潜力。从接受有创冠状动脉造影(ICA)的患者中收集呼出气,所有样本均在ICA之前采集。事后,根据冠状动脉病变严重程度和血运重建指征将患者分组。使用GC-MS分析呼出气样本中的VOCs。本研究纳入了23例患者,其中11例不需要进行心肌血运重建,12例需要。GC-MS分析成功将11例不需要血运重建的患者中的10例分类(敏感性为91%),12例需要血运重建的患者中的7例分类(特异性为58%)。在亚组分析中,当将队列分为三组时,GC-MS在识别需要干预的显著冠状动脉病变患者中显示出100%的敏感性。总共36种VOCs,包括丙酮、乙醇和苯酚,被确定为患者组之间的区分标志物。CCS患者表现出独特的呼出气指纹图谱,可通过GC-MS检测到。这些发现表明,GC-MS分析可能是一种用于CCS的可靠且非侵入性的诊断工具。需要进行更大队列的进一步研究来验证这些结果,并探索将VOC分析整合到临床实践中的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3933/11477340/a831df79fd50/jcm-13-05857-g001.jpg

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