{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T20:15:41Z","timestamp":1760645741955},"reference-count":25,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2010,2,26]],"date-time":"2010-02-26T00:00:00Z","timestamp":1267142400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"The European Commission, Sixth framework programme, Specific Measures in support of International Cooperation","award":["517733"],"award-info":[{"award-number":["517733"]}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Proteomics Clinical Apps"],"published-print":{"date-parts":[[2010,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p><jats:bold>Purpose<\/jats:bold>: 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 <jats:italic>Schistosoma mansoni<\/jats:italic> infection and disease using urine samples from a large cohort from an area endemic for <jats:italic>S. mansoni<\/jats:italic>. <jats:bold>Experimental design<\/jats:bold>: Urine samples were collected and processed on an automated sample clean\u2010up and fractionation system combining strong cation exchange and reversed phase, and analyzed by MS (MALDI ToF MS). The ClinPro Tools<jats:sup>\u2122<\/jats:sup> (CPT) software and the Discrete Wavelet Transformation\u2013Support Vector Machine (DWT\u2010SVM) procedure were used for classification and statistical analysis. <jats:bold>Results<\/jats:bold>: 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\u2010SVM (<jats:italic>versus<\/jats:italic> 76% for CPT). In addition 91% of low\u2010infected children were classified correctly using DWT\u2010SVM (<jats:italic>versus<\/jats:italic> 85% for CPT). The discriminating peptides were identified as fragments of collagen 1A1 and 1A3, and uromodulin. <jats:bold>Conclusions and clinical relevance<\/jats:bold>: In conclusion, we provide the usefulness of a peptidomics profiling approach combined with DWT\u2010SVM in the monitoring of <jats:italic>S. mansoni<\/jats:italic> infection.<\/jats:p>","DOI":"10.1002\/prca.200900158","type":"journal-article","created":{"date-parts":[[2010,2,26]],"date-time":"2010-02-26T23:08:56Z","timestamp":1267225736000},"page":"499-510","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["The feasibility of MS and advanced data processing for monitoring <i>Schistosoma mansoni<\/i> infection"],"prefix":"10.1002","volume":"4","author":[{"given":"Crina I. 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