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基于固相微萃取气相色谱-高分辨质谱联用代谢组学技术鉴定甲状腺乳头状癌早期诊断的潜在呼吸生物标志物。

Identifying potential breath biomarkers for early diagnosis of papillary thyroid cancer based on solid-phase microextraction gas chromatography-high resolution mass spectrometry with metabolomics.

机构信息

Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an, 710069, Shaanxi, China.

Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, 710032, Shaanxi, China.

出版信息

Metabolomics. 2024 May 21;20(3):59. doi: 10.1007/s11306-024-02119-w.

Abstract

INTRODUCTION

Thyroid cancer incidence rate has increased substantially worldwide in recent years. Fine needle aspiration biopsy (FNAB) is currently the golden standard of thyroid cancer diagnosis, which however, is invasive and costly. In contrast, breath analysis is a non-invasive, safe and simple sampling method combined with a promising metabolomics approach, which is suitable for early cancer diagnosis in high volume population.

OBJECTIVES

This study aims to achieve a more comprehensive and definitive exhaled breath metabolism profile in papillary thyroid cancer patients (PTCs).

METHODS

We studied both end-tidal and mixed expiratory breath, solid-phase microextraction gas chromatography coupled with high resolution mass spectrometry (SPME-GC-HRMS) was used to analyze the breath samples. Multivariate combined univariate analysis was applied to identify potential breath biomarkers.

RESULTS

The biomarkers identified in end-tidal and mixed expiratory breath mainly included alkanes, olefins, enols, enones, esters, aromatic compounds, and fluorine and chlorine containing organic compounds. The area under the curve (AUC) values of combined biomarkers were 0.974 (sensitivity: 96.1%, specificity: 90.2%) and 0.909 (sensitivity: 98.0%, specificity: 74.5%), respectively, for the end-tidal and mixed expiratory breath, indicating of reliability of the sampling and analysis method CONCLUSION: This work not only successfully established a standard metabolomic approach for early diagnosis of PTC, but also revealed the necessity of using both the two breath types for comprehensive analysis of the biomarkers.

摘要

简介

近年来,全球范围内甲状腺癌的发病率显著上升。细针穿刺活检(FNAB)目前是甲状腺癌诊断的金标准,但它具有侵袭性且费用高昂。相比之下,呼吸分析是一种非侵入性、安全且简单的采样方法,结合有前途的代谢组学方法,适用于大规模人群的早期癌症诊断。

目的

本研究旨在更全面、更明确地确定甲状腺乳头状癌(PTC)患者的呼气代谢谱。

方法

我们研究了终末呼吸和混合呼气,采用固相微萃取气相色谱-高分辨率质谱联用(SPME-GC-HRMS)分析呼吸样本。应用多元组合单变量分析来识别潜在的呼吸生物标志物。

结果

在终末呼吸和混合呼气中鉴定出的生物标志物主要包括烷烃、烯烃、烯醇、烯酮、酯类、芳香族化合物以及含氟和氯的有机化合物。组合生物标志物在终末呼吸和混合呼气中的曲线下面积(AUC)值分别为 0.974(灵敏度:96.1%,特异性:90.2%)和 0.909(灵敏度:98.0%,特异性:74.5%),表明采样和分析方法可靠。

结论

这项工作不仅成功建立了 PTC 早期诊断的标准代谢组学方法,还揭示了使用两种呼吸类型进行全面分析生物标志物的必要性。

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