The feasibility of MS and advanced data processing for monitoring Schistosoma mansoni infection

Abstract

Purpose: 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. Experimental design: 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 TM (CPT) software and the Discrete Wavelet Transformation-Support Vector Machine (DWT-SVM) procedure were used for classification and statistical analysis. Results: 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. Conclusions and clinical relevance: In conclusion, we provide the usefulness of a peptidomics profiling approach combined with DWT-SVM in the monitoring of S. mansoni infection.

Exploratory metabolomics study of the experimental opisthorchiasis in a laboratory animal model (golden hamster, Mesocricetus auratus)

“…The dynamic character of the metabolome, its ability to change in response to the external stimuli makes it an optimal “readout” for exploratory studies describing the systemic responses of an organism. Whereas in schistosomiasis a number of exploratory metabolomics studies have been performed in animal models and patient material[ 12 – 16 ], there are so far no such studies in Opischthorchiasis.…”

Metabonomic investigation of human Schistosoma mansoni infection

“…Nevertheless, using a MALDI-ToF peptidomics profiling based approach for the same cohort, high recognition rates for the detection of S. mansoni infection in children were obtained. 29 In this paper we continue this line of research and using an NMR platform as a first step towards understanding the metabolic consequences of S. mansoni infection in humans, we investigated the metabolic effects of this parasite infection in a large cohort from a rural area in Uganda near Lake Victoria endemic for S. mansoni and made an attempt to give a physiological interpretation of our findings.…”

Identification of Low Molecular Weight Proteins and Peptides from Schistosoma mekongi Worm, Egg and Infected Mouse Sera

“…In addition to identification of peptides from parasites, identification of novel markers of S. mansoni infection from urine samples has been attempted. Ninety-three percent of infected children could be classified correctly based on their urinary peptide profiles [9]. Hemoglobin-derived peptides were identified in the urine of S. haematobium-infected patients even when microhematuria tests were negative [10].…”