Biomolecular Mass Spectrometry Unit, Department of Parasitology, Center of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Proteomics Clin Appl. 2010 May;4(5):499-510. doi: 10.1002/prca.200900158. Epub 2010 Feb 26.
Sensitive diagnosis, monitoring of disease progression and the evaluation of chemotherapeutic interventions are of prime importance for the improvement of control and prevention strategies for Schistosomiasis. The aim of the present study was to identify novel markers of Schistosoma mansoni infection and disease using urine samples from a large cohort from an area endemic for S. mansoni.
Urine samples were collected and processed on an automated sample clean-up and fractionation system combining strong cation exchange and reversed phase, and analyzed by MS (MALDI ToF MS). The ClinPro Tools(™) (CPT) software and the Discrete Wavelet Transformation-Support Vector Machine (DWT-SVM) procedure were used for classification and statistical analysis.
We observed a large difference in urinary peptide profiles between children and adults but classification based on infection was possible only for children. Here, in the external validation data set, 93% of the infected children were classified correctly with DWT-SVM (versus 76% for CPT). In addition 91% of low-infected children were classified correctly using DWT-SVM (versus 85% for CPT). The discriminating peptides were identified as fragments of collagen 1A1 and 1A3, and uromodulin.
In conclusion, we provide the usefulness of a peptidomics profiling approach combined with DWT-SVM in the monitoring of S. mansoni infection.
对曼氏血吸虫病的控制和预防策略进行改进，对疾病的早期诊断、病情进展监测和化疗干预评估至关重要。本研究旨在利用曼氏血吸虫病流行地区的大样本队列的尿液样本，鉴定曼氏血吸虫感染和疾病的新型标志物。
采集并通过自动样品净化和分级系统（结合强阳离子交换和反相）处理尿液样本，通过 MS（MALDI ToF MS）进行分析。ClinProTools(™)（CPT）软件和离散小波变换-支持向量机（DWT-SVM）程序用于分类和统计分析。
我们观察到儿童和成人之间尿液肽谱存在显著差异，但仅对儿童进行感染分类是可能的。在此，在外部验证数据集，DWT-SVM 正确分类了 93%的感染儿童（CPT 为 76%）。此外，DWT-SVM 正确分类了 91%的低感染儿童（CPT 为 85%）。区分性肽被鉴定为胶原 1A1 和 1A3 以及尿调蛋白的片段。
总之，我们提供了一种肽组学分析方法结合 DWT-SVM 在曼氏血吸虫感染监测中的应用价值。
