| Abstract |
Cystic echinococcosis is a zoonotic disease caused by the larval stage of Echinococcus granulosus. This affliction is an endemic worldwide condition that represents a neglected parasitic disease with important socioeconomic repercussions. Proteomic characterization of larval and adult stages of E. granulosus, as well as the association between expression profiles and host interactions, is relevant for a better understanding of parasite biology, and eventually for drug design and vaccine development. This study aimed to develop a synthesis of the evidence available related to proteomics of E. granulosus. A systematic review was carried out to collect data concerning the proteomics of E. granulosus, without language or host restriction, published between 1980 and 2019. A systematic search was carried out in the Trip Database, BIREME-BVS, SciELO, Web of Science, PubMed, EMBASE, SCOPUS, EBSCO host, and LILACS, using MeSH terms, free words, and Boolean connectors, and adapting strategies to each source of information. Additionally, a manual cross-reference search was performed. Variables studied were the year of publication, geographic origin of the study, number of samples, hosts, parasitic organs, proteomic techniques, and parasite proteins verified. Nine-hundred and thirty-six related articles were identified: 17 fulfilled selection criteria, including slightly more than 188 samples. Most articles were published between 2014 and 2019 (64.7%) and were from Brazil and China (35.3% each). In reference to confirmed hosts in the primary articles, cattle (41.2%) and humans (23.5%) were the most frequently reported. Concerning proteomic techniques applied in the primary articles, LC-MS/MS was the most used (41.1%), and 890 proteins were reported by the primary articles. As the results of our search suggest, the information related to E. granulosus proteomics is scarce, heterogeneous, and scattered throughout several articles that include a diversity of tissues, samples, intermediate hosts, and proteomic techniques. Consequently, the level of evidence generated by our search is type 4.
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