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在区分结核病和Mycobacterium avium复杂肺部疾病方面,具有支持性诊断价值的明显血清代谢概况
Keu Eun San Kim1, Ye Jin Lee2, Ji Hae Park1
1Department of Microbiology, Institute for Immunology and Immunological Diseases, Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Republic of Korea.
血清代谢物分析确定了五个关键生物标志物,包括形基脂和2-基酸,以区分肺结核 (TB) 与Mycobacterium avium复合体 (MAC) 肺病 (MAC-PD). 这为这些重大公共卫生威胁提供了一种新的诊断方法.
科学领域:
- 生物化学 生物化学
- 临床诊断 临床诊断 临床诊断
- 传染性疾病 传染性疾病
背景情况:
- 结核菌菌 (TB) 和Mycobacterium avium复合体 (MAC) 肺部疾病 (MAC-PD) 是全球重要的健康问题.
- 目前用于结核病和MAC-PD的诊断方法耗时且缺乏特异性.
- 由于症状重叠,区分结核病和MAC-PD在临床上具有挑战性.
研究的目的:
- 调查血清代谢资料,用于结核病和MAC-PD的差异诊断.
- 确定潜在的血清生物标志物,以区分这两种真菌细菌感染.
- 评估已识别的代谢生物标志物的诊断准确性.
主要方法:
- 来自181名结核病和MAC-PD患者的血清样本使用基于液体染色学和质谱学 (LC/MS) 的代谢分析进行了分析.
- 队列被分为培训 (n=60) 和验证 (n=121) 组.
- 使用后勤回归和机器学习模型来评估已识别的代谢物的歧视性性能.
主要成果:
- 确定了五种关键代谢物,包括四种状基脂 (结核病降低) 和2 - 基酸 (2-HG) (结核病增加).
- 一个由五种代谢物组成的小组显示出高的诊断准确性,在训练组中,曲线下的面积 (AUC) 为0.988,在验证组中为0.997.
- 在各种机器学习模型中一致的性能证实了代谢物板的稳定性和诊断价值.
结论:
- 一个新的血清代谢面板,包括形基脂和2-HG,可以有效地区分结核病和MAC-PD.
- 这些已识别的代谢物显示出作为早期和准确差异诊断的生物标志物的强大潜力.
- 这种方法可以显著改善临床管理,使这些肺部疾病的分化更快.
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