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用于区分活动性肺结核与潜伏感染的抗原的血清蛋白质组学分析

Serum proteomic analysis of antigens for discriminating active tuberculosis from latent infection.

作者信息

Peng Zhangli, Chen Ling, Zhang Hong

机构信息

Tuberculosis Division of Respiratory and Critical Care Medicine, Affiliated Hospital of Zunyi Medical University, Guizhou, China.

Z-BioMed, Inc., Rockville, Maryland, USA.

出版信息

J Int Med Res. 2020 Mar;48(3):300060520910042. doi: 10.1177/0300060520910042.

DOI:10.1177/0300060520910042
PMID:32216499
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7133403/
Abstract

OBJECTIVE

Serum proteomic analysis of tuberculosis (TB) antigens to identify biomarkers enabling discrimination of active TB (ATB) from latent TB infection (LTBI).

METHODS

Serum samples from patients with ATB, individuals with LTBI and healthy controls (HCs) were used to probe proteome microarrays. Based on signal intensities of IgG and IgM antibodies, 100 TB proteins were selected for fabrication of mini-protein microarrays, which were then used to screen 204 serum samples.

RESULTS

Proteome microarray analyses showed that 58 IgG or IgM specific antibodies were significantly more abundant in ATB patients than in individuals with LTBI or HCs. Serological evaluation of mini-protein microarrays demonstrated that average levels of 15 specific antibodies were higher in ATB patients than in individuals with LTBI or HCs. This combination of 15 TB serum biomarkers had a sensitivity of 85.4% and specificity of 90.3% in discriminating ATB from LTBI.

CONCLUSION

Combinations of serum biomarkers can offer improved diagnostic performance in discriminating ATB from LTBI. Five biomarkers (MT1560.1, Rv0049, Rv0270, Rv1597 and Rv3480c) associated with ATB induced stronger IgM responses in these patients.

摘要

目的

对结核(TB)抗原进行血清蛋白质组分析,以鉴定能够区分活动性结核(ATB)和潜伏性结核感染(LTBI)的生物标志物。

方法

使用来自ATB患者、LTBI个体和健康对照(HCs)的血清样本检测蛋白质组芯片。基于IgG和IgM抗体的信号强度,选择100种结核蛋白用于制作微型蛋白质芯片,然后用其筛选204份血清样本。

结果

蛋白质组芯片分析显示,58种IgG或IgM特异性抗体在ATB患者中的丰度显著高于LTBI个体或HCs。微型蛋白质芯片的血清学评估表明,15种特异性抗体的平均水平在ATB患者中高于LTBI个体或HCs。这15种结核血清生物标志物的组合在区分ATB和LTBI时灵敏度为85.4%,特异性为90.3%。

结论

血清生物标志物组合在区分ATB和LTBI方面可提供更好的诊断性能。与ATB相关的5种生物标志物(MT1560.1、Rv0049、Rv0270、Rv1597和Rv3480c)在这些患者中诱导了更强的IgM反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ceb0/7133403/35ad1399a43d/10.1177_0300060520910042-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ceb0/7133403/6364d2db867d/10.1177_0300060520910042-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ceb0/7133403/114d53a642ee/10.1177_0300060520910042-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ceb0/7133403/a131c7b1fe15/10.1177_0300060520910042-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ceb0/7133403/35ad1399a43d/10.1177_0300060520910042-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ceb0/7133403/6364d2db867d/10.1177_0300060520910042-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ceb0/7133403/114d53a642ee/10.1177_0300060520910042-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ceb0/7133403/a131c7b1fe15/10.1177_0300060520910042-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ceb0/7133403/35ad1399a43d/10.1177_0300060520910042-fig4.jpg

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