Serum sCD14, PGLYRP2 and FGA as potential biomarkers for multidrug-resistant tuberculosis based on data-independent acquisition and targeted proteomics.
Serum sCD14, PGLYRP2 and FGA as potential biomarkers for multidrug-resistant tuberculosis based on data-independent acquisition and targeted proteomics.
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基于数据独立采集和靶向蛋白质组学，血清 sCD14、PGLYRP2 和 FGA 作为耐多药结核病的潜在生物标志物
DOI：
10.1111/jcmm.15796
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发表时间：
2020-11
影响因子：
5.3
通讯作者：
Li JC
中科院分区：
文献类型：
--
作者：
Chen J;Han YS;Yi WJ;Huang H;Li ZB;Shi LY;Wei LL;Yu Y;Jiang TT;Li JC
多药耐药结核病（MDR - TB）被定义为至少对异烟肼和利福平耐药的结核病（TB），是世界范围内结核病控制的一个主要问题。然而，耐多药结核病的诊断仍然是其预防和控制的一个巨大挑战。为了确定MDR - TB的新诊断方法，采用数据独立获取和平行反应监测的质谱策略来检测和验证差异血清蛋白。生物信息学分析显示，MDR - TB组和药敏结核组血清差异蛋白的功能与补体凝血级联、表面粘附和细胞外基质受体相互作用显著相关，提示结核患者凝血功能紊乱。本研究确定了sCD14、PGLYRP2和FGA三种潜在候选生物标志物，并利用这三种候选生物标志物建立了诊断MDR‐TB的诊断模型，其灵敏度为81.2%，特异性为90%，受试者操作特征曲线曲线下面积为0.934。我们的研究为一种诊断MDR - TB的新方法铺平了道路，并可能有助于阐明MDR - TB的潜在机制。
Multidrug‐resistant tuberculosis (MDR‐TB), defined as tuberculosis (TB) resistant to at least isoniazid and rifampicin, is a major concern of TB control worldwide. However, the diagnosis of MDR‐TB remains a huge challenge to its prevention and control. To identify new diagnostic methods for MDR‐TB, a mass spectrometry strategy of data‐independent acquisition and parallel reaction monitoring was used to detect and validate differential serum proteins. The bioinformatic analysis showed that the functions of differential serum proteins between the MDR‐TB group and the drug‐sensitive tuberculosis group were significantly correlated to the complement coagulation cascade, surface adhesion and extracellular matrix receptor interaction, suggesting a disorder of coagulation in TB. Here, we identified three potential candidate biomarkers such as sCD14, PGLYRP2 and FGA, and established a diagnostic model using these three candidate biomarkers with a sensitivity of 81.2%, a specificity of 90% and the area under the curve value of 0.934 in receiver operation characteristics curve to diagnose MDR‐TB. Our study has paved the way for a novel method to diagnose MDR‐TB and may contribute to elucidate the mechanisms underlying MDR‐TB.
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影响因子：
30.3
作者：
Saha S;Qi J;Wang S;Wang M;Li X;Kim YG;Núñez G;Gupta D;Dziarski R
通讯作者：
Dziarski R
影响因子：
14.9
作者：
Ma J;Chen T;Wu S;Yang C;Bai M;Shu K;Li K;Zhang G;Jin Z;He F;Hermjakob H;Zhu Y
通讯作者：
Zhu Y
影响因子：
4.4
作者：
Datt M;Sharma A
通讯作者：
Sharma A
影响因子：
3.5
作者：
Gudzera, Olga I.;Golub, Andriy G.;Tukalo, Michail A.
通讯作者：
Tukalo, Michail A.
影响因子：
3.3
作者：
He, Bing;Shi, Jim;Zhu, Hao-Jie
通讯作者：
Zhu, Hao-Jie