BSP Spring Meeting 2018
Schedule : Back to Tegwen Marlais
Poster
84

Comparative ‘Omics’ identification of coproantigens for diagnosis of Strongyloides stercoralis infection

Authors

T Marlais2; C Talavera-López1; M A Miles31 Karolinska Institute, Stockholm,, Sweden;  2 London School of Hygiene & Tropical Medicine, UK;  3 London School of Hygiene and Tropical Medicine, UK

Discussion

Background


Strongyloides stercoralis is a soil transmitted helminth with potential to cause fatal hyperinfection if not successfully treated. It is therefore important both to diagnose strongyloidiasis and to confirm cure after treatment. Diagnosis currently requires Strongyloides-specific methods that vary in sensitivity and are slow to give a result or unable to determine cure. An ideal alternative would be an antigen detection rapid diagnostic test (RDT) for application at point-of-care and capable of  confirming cure.


Methods


We analysed open access transcriptomic, genomic and proteomic data and searched published literature on S. stercoralis and S. ratti, a parasite of rodents, to identify proteins that are likely to be Strongyloides-specific, antigenic and detectable in stool. Proteins expressed in the gut-dwelling life stages of the nematode were compared, using phylogenetic trees, with homologues from 14 other helminth species and humans. Strongyloides-specific protein regions were then mapped onto 3D models and analysed for predicted epitopes. The excretory/secretory (E/S) proteome of S. ratti was used to identify S. stercoralis E/S homologues. Genomes of 3 Strongyloides species were mapped to the S. ratti reference in order to reveal variants in genes of interest. Datasets were cross-referred to build evidence for strong candidate antigens.


Results


Transcriptomic data revealed 328 proteins differentially expressed in gut-dwelling versus non-gut dwelling life stages of S. stercoralis. Over 50 S. stercoralis proteins from seven protein families contained species-specific sequences as revealed by phylogenetic comparison with outgroups and by sequence alignments. In total, 125 epitope regions were predicted in proteins expressed by gut-stage S. stercoralis. Strongyloides unique, predicted epitope peptides of selected proteins were 3D mapped to the surface of the molecules and revealed adjacent amino acid residues that may form conformational diagnostic epitopes.


Conclusion


The comparative ‘omics’ approach used here for the first time for Strongyloides has identified numerous candidate antigens that should be investigated as targets for a S. stercoralis coproantigen assay. Furthermore, online analytical tools and the increasing wealth of open access data on multiple helminth and other parasites means that this approach can be applied more widely to diagnostics discovery and development.

Poster supporting document

Hosted By

British Society for Parasitology (BSP)

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