Sun H S, Pan L P, Jia H Y, Du F J, Zheng L H, Liu Q Y, Zhang Z D
Beijing Chest Hospital, Capital Medical University; Beijing Tuberculosis and Thoracic Tumor Research Institute; Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing 101149, China.
Zhonghua Jie He He Hu Xi Za Zhi. 2016 Jul;39(7):519-23. doi: 10.3760/cma.j.issn.1001-0939.2016.07.006.
To screen specific biomarkers for latent tuberculosis infection by comparing the plasma proteomic profiling between latent tuberculosis infection and healthy controls.
The plasma proteins from 15 cases with latent tuberculosis infection and 15 healthy controls were detected by the label-free quantitative proteomic technology. Differential expressed proteins were analyzed by GO, KEGG, and BiNGO analysis. Student's t test was used to analyze the differential expression between 2 groups.
Twenty-three candidate proteins were identified, among which 15 proteins were downregulated (<0.5-fold at P<0.05) and 8 proteins were upregulated (>2.0-fold at P<0.05) in the latent tuberculosis infection group. Bioinformatic analysis revealed 3 proteins AAT, C3 and C4A to be the most significant.
There were differential plasma protein profiles between latent tuberculosis infection and healthy controls. Candidate proteins AAT, C3 and C4A were promising biomarkers for discriminating cases with latent tuberculosis infection from healthy persons.
通过比较潜伏性结核感染与健康对照者的血浆蛋白质组图谱，筛选潜伏性结核感染的特异性生物标志物。
采用无标记定量蛋白质组技术检测15例潜伏性结核感染患者和15例健康对照者的血浆蛋白质。通过GO、KEGG和BiNGO分析对差异表达蛋白进行分析。采用学生t检验分析两组间的差异表达。
共鉴定出23种候选蛋白，其中潜伏性结核感染组有15种蛋白表达下调（P<0.05时<0.5倍），8种蛋白表达上调（P<0.05时>2.0倍）。生物信息学分析显示，3种蛋白AAT、C3和C4A最为显著。
潜伏性结核感染与健康对照者之间存在血浆蛋白谱差异。候选蛋白AAT、C3和C4A有望成为区分潜伏性结核感染患者与健康人的生物标志物。
