Understanding global changes of the liver proteome during murine schistosomiasis using a label-free shotgun approach.
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Date
2016
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Abstract
Schistosomiasis is an endemic disease affecting over 207million people worldwide caused by helminth parasites
of the genus Schistosoma. In Brazil the disease is responsible for the loss of up to 800 lives annually, resulting from
the desabilitating effects of this chronic condition. In this study, we infected Balb/c mice with Schistosoma
mansoni and analysed global changes in the proteomic profile of soluble liver proteins. Our shotgun analyses revealed
predominance of up-regulation of proteins at 5weeks of infection, coincidingwith the onset of egg laying,
and a remarkable down-regulation of liver constituents at 7 weeks, when severe tissue damage is installed. Representatives
of glycolytic enzymes and stress response (in particular at the endoplasmic reticulum)were among
the most differentially expressed molecules found in the infected liver. Collectively, our data contribute over 70
molecules not previously reported to be found at altered levels in murine schistosomiasis to further exploration
of their potential as biomarkers of the disease.Moreover, understanding their intricate interaction using bioinformatics
approach can potentially bring clarity to unknownmechanisms linked to the establishment of this condition
in the vertebrate host.
Significance: To our knowledge, this study refers to the first shotgun proteomic analysis to provide an inventory of
the global changes in the liver soluble proteome caused by Schistosomamansoni in the Balb/cmodel. It also innovates
by yielding data on quantification of the identified molecules as a manner to clarify and give insights into
the underlying mechanisms for establishment of Schistosomiasis, a neglected tropical disease with historical
prevalence in Brazil.
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Keywords
Schistosoma mansoni, Liver biomarkers, Shotgun proteomics
Citation
CAMPOS, J. M. et al. Understanding global changes of the liver proteome during murine schistosomiasis using a label-free shotgun approach. Journal of Proteomics, v. 151, p. 193-203, 2016. Disponível em: <http://www.sciencedirect.com/science/article/pii/S1874391916303086?via%3Dihub>. Acesso em: 15 set. 2017.