Identification of Th1 epitopes within molecules from the lung-stage schistosomulum of Schistosoma japonicum by combining prediction analysis of the transcriptome with experimental validation

Abstract

The lung-stage schistosomulum has been regarded as the main target of protective immunity induced by radiation-attenuated vaccines (RAV) in the mouse model of schistosomiasis, and immune mechanisms mediated by the CD4+ Th1 response play a major role in the RAV model. To identify Th1 epitopes rapidly within molecules from the lung schistosomulum of Schistosoma japonicum, in the present study we analyzed transcriptome data from normal and radiation-attenuated lung schistosomula of S. japonicum and Schistosoma mansoni. We selected six genes with high levels of expression of their transcripts as sample sequences from the lung schistosomula. From these six sequences, by using different algorithms, we predicted six promiscuous Th cell epitopes that are capable of binding to both murine and human MHC class II molecules. To validate our in silico prediction experimentally, first, the gene expressions of the six sequences in day 3 lung-stage schistosomula were assessed using reverse-transcription PCR (polymerase chain reaction) analysis. The result showed that all six sequences predicted can be expressed in normal day 3 schistosomula. Second, we measured the direct binding of the four peptides predicted above to APCs (Antigen Presenting Cells) from the BALB/c mouse strain using a fluorometric method, and found that the four peptides could bind to both I-Ad and I-Ed molecules of the mice. Finally, the proliferation and profiles of cytokine production by spleen lymphocytes from the BALB/c mice immunized with the six predicted peptides were detected in vitro using modified MTT (Methyl Thiazolyl Tetrazolium), and flow cytometry methods, respectively. The results showed that three of the six predicted peptides could induce a recall CD4+ Th1 response in vitro. These results demonstrate that potential Th1-type epitopes can be identified rapidly by a combination of in silico analysis of transcriptomes of lung-stage schistosomula with experimental validation.