Identification of newly developed advanced schistosomiasis with MALDI-TOF mass spectrometry and ClinProTools analysis
Identification of newly developed advanced schistosomiasis with MALDI-TOF mass spectrometry and ClinProTools analysis
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利用 MALDI-TOF 质谱和 ClinProTools 分析鉴定新发的晚期血吸虫病
DOI：
10.1051/parasite/2019032
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发表时间：
2019-06-05
期刊：
影响因子：
2.9
通讯作者：
Hua, Haiyong
中科院分区：
文献类型：
--
作者：
Huang, Yuzheng;Xu, Yongliang;Hua, Haiyong
新发晚期血吸虫病（NDAS）病例发生在血吸虫病传播已被阻断超过25年的地区。NDAS的病因和发病机制尚不清楚。NDAS的诊断依赖于病史调查和临床症状，如肝纤维化、肝腹水和血清生化指标异常。在这个阶段，开发一种早期筛查和快速诊断的新工具很重要，但也很困难。本研究采用弱阳离子交换磁珠捕获30例NDAS患者和30例健康对照者的血清肽，并进行MALDI-TOF质谱分析和ClinProTools分析。NDAS组m/z 924、2661、2953、2991、3241、3884、5337、5905、5943、7766和9289的11个峰降低，m/z 1945、2082和4282的3个峰升高。建立了包含14个不同肽峰的蛋白质组学检测模式（PDP），并采用盲法检验其敏感性和特异性。采用PDP方法对50例NDAS患者和100例健康对照者血清的肽质量指纹图谱进行双盲分析，将50例NDAS患者和92例健康对照者分别归类为NDAS和健康人群，灵敏度为100%，特异性为92%。结果表明，PDP是一种新的检测NDAS的有效方法。
Cases of newly developed advanced schistosomiasis (NDAS) have occurred in areas where schistosomiasis transmission has been blocked for more than 25 years. The causes and pathogenesis of NDAS are still unknown. Diagnosis of NDAS relies on historical investigation and clinical symptoms, such as liver fibrosis, hepatic ascites and abnormal biochemical indexes in serum. It is important but difficult at this stage to develop a new tool for early screening and rapid diagnosis. In this study, serum peptides from thirty patients with NDAS and thirty healthy controls were captured with weak cation exchange magnetic beads, and subjected to MALDI-TOF mass spectrometry and ClinProTools analysis. Eleven peaks with m/z 924, 2661, 2953, 2991, 3241, 3884, 5337, 5905, 5943, 7766 and 9289 were decreased and three peaks with m/z 1945, 2082 and 4282 were increased in the NDAS group. The proteomic detection pattern (PDP) was established with 14 different peptide peaks, and its sensitivity and specificity were investigated with a blind test. The peptide mass fingerprints of sera from 50 NDAS patients and 100 healthy controls were double-blind subjected to the PDP method, and 50 patients and 92 healthy controls were classified as NDAS and healthy separately, which showed 100% sensitivity and 92% specificity. Our results showed that the PDP could be a new and useful method to detect NDAS.