用于诊断糖尿病患者肺结核的呼吸基因。

IF 3.9 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Frontiers in Molecular Biosciences Pub Date : 2024-08-13 eCollection Date: 2024-01-01 DOI:10.3389/fmolb.2024.1436135
Rong Xu, Ying Zhang, Zhaodong Li, Mingjie He, Hailin Lu, Guizhen Liu, Min Yang, Liang Fu, Xinchun Chen, Guofang Deng, Wenfei Wang
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引用次数: 0

摘要

导言:糖尿病(DM)患者感染结核分枝杆菌(Mtb)并从潜伏结核(TB)感染发展为活动性结核病的风险增加。DM人群中的结核病更有可能因涂片阴性结果而得不到诊断:方法:收集呼气样本,并使用高压光子电离飞行时间质谱法进行分析。结果:XGBoost 模型的灵敏度和准确度都达到了很高的水平:XGBoost模型的灵敏度为88.5%,特异度为100%,准确度为90.2%,曲线下面积(AUC)为98.8%。整组数据中最重要的特征是 m106,其灵敏度为 93%,特异性为 100%,AUC 为 99.7%:基于呼吸组学的结核病检测方法利用 m106 表现出了高灵敏度和高特异性,可能有利于糖尿病患者的结核病临床筛查和诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Breathomics for diagnosing tuberculosis in diabetes mellitus patients.

Introduction: Individuals with diabetes mellitus (DM) are at an increased risk of Mycobacterium tuberculosis (Mtb) infection and progressing from latent tuberculosis (TB) infection to active tuberculosis disease. TB in the DM population is more likely to go undiagnosed due to smear-negative results.

Methods: Exhaled breath samples were collected and analyzed using high-pressure photon ionization time-of-flight mass spectrometry. An eXtreme Gradient Boosting (XGBoost) model was utilized for breathomics analysis and TB detection.

Results: XGBoost model achieved a sensitivity of 88.5%, specificity of 100%, accuracy of 90.2%, and an area under the curve (AUC) of 98.8%. The most significant feature across the entire set was m106, which demonstrated a sensitivity of 93%, specificity of 100%, and an AUC of 99.7%.

Discussion: The breathomics-based TB detection method utilizing m106 exhibited high sensitivity and specificity potentially beneficial for clinical TB screening and diagnosis in individuals with diabetes.

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来源期刊
Frontiers in Molecular Biosciences
Frontiers in Molecular Biosciences Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
7.20
自引率
4.00%
发文量
1361
审稿时长
14 weeks
期刊介绍: Much of contemporary investigation in the life sciences is devoted to the molecular-scale understanding of the relationships between genes and the environment — in particular, dynamic alterations in the levels, modifications, and interactions of cellular effectors, including proteins. Frontiers in Molecular Biosciences offers an international publication platform for basic as well as applied research; we encourage contributions spanning both established and emerging areas of biology. To this end, the journal draws from empirical disciplines such as structural biology, enzymology, biochemistry, and biophysics, capitalizing as well on the technological advancements that have enabled metabolomics and proteomics measurements in massively parallel throughput, and the development of robust and innovative computational biology strategies. We also recognize influences from medicine and technology, welcoming studies in molecular genetics, molecular diagnostics and therapeutics, and nanotechnology. Our ultimate objective is the comprehensive illustration of the molecular mechanisms regulating proteins, nucleic acids, carbohydrates, lipids, and small metabolites in organisms across all branches of life. In addition to interesting new findings, techniques, and applications, Frontiers in Molecular Biosciences will consider new testable hypotheses to inspire different perspectives and stimulate scientific dialogue. The integration of in silico, in vitro, and in vivo approaches will benefit endeavors across all domains of the life sciences.
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