Quantitative label-free proteomic analysis of human urine to identify novel candidate protein biomarkers for schistosomiasis
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Date
2017-11
Journal Title
Journal ISSN
Volume Title
Publisher
PLoS Negl Trop Dis
Abstract
Background
Schistosomiasis is a chronic neglected tropical disease that is characterized by continued
inflammatory challenges to the exposed population and it has been established as a possible
risk factor in the aetiology of bladder cancer. Improved diagnosis of schistosomiasis and
its associated pathology is possible through mass spectrometry to identify biomarkers
among the infected population, which will influence early detection of the disease and its
subtle morbidity.
Methodology
A high-throughput proteomic approach was used to analyse human urine samples for 49
volunteers from Eggua, a schistosomiasis endemic community in South-West, Nigeria. The
individuals were previously screened for Schistosoma haematobium and structural bladder
pathologies via microscopy and ultrasonography respectively. Samples were categorised
into schistosomiasis, schistosomiasis with bladder pathology, bladder pathology, and a normal
healthy control group. These samples were analysed to identify potential protein
biomarkers.
Results
A total of 1306 proteins and 9701 unique peptides were observed in this study (FDR = 0.01).
Fifty-four human proteins were found to be potential biomarkers for schistosomiasis and
bladder pathologies due to schistosomiasis by label-free quantitative comparison between
groups. Thirty-six (36) parasite-derived potential biomarkers were also identified, which
include some existing putative schistosomiasis biomarkers that have been previously
reported. Some of these proteins include Elongation factor 1 alpha, phosphopyruvate hydratase,
histone H4 and heat shock proteins (HSP 60, HSP 70). Conclusion
These findings provide an in-depth analysis of potential schistosoma and human host protein
biomarkers for diagnosis of chronic schistosomiasis caused by Schistosoma haematobium
and its pathogenesis
Description
Staff Publication
Keywords
Citation
Citation: Onile OS, Calder B, Soares NC, Anumudu CI, Blackburn JM (2017) Quantitative label-free proteomic analysis of human urine to identify novel candidate protein biomarkers for schistosomiasis. PLoS Negl Trop Dis 11(11): e0006045. https://doi. org/10.1371/journal.pntd.0006045