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      Infection by the Helminth Parasite Fasciola hepatica Requires Rapid Regulation of Metabolic, Virulence, and Invasive Factors to Adjust to Its Mammalian Host*

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          Abstract

          The parasite Fasciola hepatica infects a broad range of mammals with impunity. Following ingestion of parasites (metacercariae) by the host, newly excysted juveniles (NEJ) emerge from their cysts, rapidly penetrate the duodenal wall and migrate to the liver. Successful infection takes just a few hours and involves negotiating hurdles presented by host macromolecules, tissues and micro-environments, as well as the immune system. Here, transcriptome and proteome analysis of ex vivo F. hepatica metacercariae and NEJ reveal the rapidity and multitude of metabolic and developmental alterations that take place in order for the parasite to establish infection. We found that metacercariae despite being encased in a cyst are metabolically active, and primed for infection. Following excystment, NEJ expend vital energy stores and rapidly adjust their metabolic pathways to cope with their new and increasingly anaerobic environment. Temperature increases induce neoblast proliferation and the remarkable up-regulation of genes associated with growth and development. Cysteine proteases synthesized by gastrodermal cells are secreted to facilitate invasion and tissue degradation, and tegumental transporters, such as aquaporins, are varied to deal with osmotic/salinity changes. Major proteins of the total NEJ secretome include proteases, protease inhibitors and anti-oxidants, and an array of immunomodulators that likely disarm host innate immune effector cells. Thus, the challenges of infection by F. hepatica parasites are met by rapid metabolic and physiological adjustments that expedite tissue invasion and immune evasion; these changes facilitate parasite growth, development and maturation. Our molecular analysis of the critical processes involved in host invasion has identified key targets for future drug and vaccine strategies directed at preventing parasite infection.

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          Most cited references74

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          Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

          We present a statistical model to estimate the accuracy of peptide assignments to tandem mass (MS/MS) spectra made by database search applications such as SEQUEST. Employing the expectation maximization algorithm, the analysis learns to distinguish correct from incorrect database search results, computing probabilities that peptide assignments to spectra are correct based upon database search scores and the number of tryptic termini of peptides. Using SEQUEST search results for spectra generated from a sample of known protein components, we demonstrate that the computed probabilities are accurate and have high power to discriminate between correctly and incorrectly assigned peptides. This analysis makes it possible to filter large volumes of MS/MS database search results with predictable false identification error rates and can serve as a common standard by which the results of different research groups are compared.
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            The Paragon Algorithm, a next generation search engine that uses sequence temperature values and feature probabilities to identify peptides from tandem mass spectra.

            The Paragon Algorithm, a novel database search engine for the identification of peptides from tandem mass spectrometry data, is presented. Sequence Temperature Values are computed using a sequence tag algorithm, allowing the degree of implication by an MS/MS spectrum of each region of a database to be determined on a continuum. Counter to conventional approaches, features such as modifications, substitutions, and cleavage events are modeled with probabilities rather than by discrete user-controlled settings to consider or not consider a feature. The use of feature probabilities in conjunction with Sequence Temperature Values allows for a very large increase in the effective search space with only a very small increase in the actual number of hypotheses that must be scored. The algorithm has a new kind of user interface that removes the user expertise requirement, presenting control settings in the language of the laboratory that are translated to optimal algorithmic settings. To validate this new algorithm, a comparison with Mascot is presented for a series of analogous searches to explore the relative impact of increasing search space probed with Mascot by relaxing the tryptic digestion conformance requirements from trypsin to semitrypsin to no enzyme and with the Paragon Algorithm using its Rapid mode and Thorough mode with and without tryptic specificity. Although they performed similarly for small search space, dramatic differences were observed in large search space. With the Paragon Algorithm, hundreds of biological and artifact modifications, all possible substitutions, and all levels of conformance to the expected digestion pattern can be searched in a single search step, yet the typical cost in search time is only 2-5 times that of conventional small search space. Despite this large increase in effective search space, there is no drastic loss of discrimination that typically accompanies the exploration of large search space.
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              Fascioliasis and other plant-borne trematode zoonoses.

              Fascioliasis and other food-borne trematodiases are included in the list of important helminthiases with a great impact on human development. Six plant-borne trematode species have been found to affect humans: Fasciola hepatica, Fasciola gigantica and Fasciolopsis buski (Fasciolidae), Gastrodiscoides hominis (Gastrodiscidae), Watsonius watsoni and Fischoederius elongatus (Paramphistomidae). Whereas F. hepatica and F. gigantica are hepatic, the other four species are intestinal parasites. The fasciolids and the gastrodiscid cause important zoonoses distributed throughout many countries, while W. watsoni and F. elongatus have been only accidentally detected in humans. Present climate and global changes appear to increasingly affect snail-borne helminthiases, which are strongly dependent on environmental factors. Fascioliasis is a good example of an emerging/re-emerging parasitic disease in many countries as a consequence of many phenomena related to environmental changes as well as man-made modifications. The ability of F. hepatica to spread is related to its capacity to colonise and adapt to new hosts and environments, even at the extreme inhospitality of very high altitude. Moreover, the spread of F. hepatica from its original European range to other continents is related to the geographic expansion of its original European lymnaeid intermediate host species Galba truncatula, the American species Pseudosuccinea columella, and its adaptation to other lymnaeid species authochthonous in the newly colonised areas. Although fasciolopsiasis and gastrodiscoidiasis can be controlled along with other food-borne parasitoses, fasciolopsiasis still remains a public health problem in many endemic areas despite sustained WHO control programmes. Fasciolopsiasis has become a re-emerging infection in recent years and gastrodiscoidiasis, initially supposed to be restricted to Asian countries, is now being reported in African countries.
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                Author and article information

                Journal
                Mol Cell Proteomics
                Mol. Cell Proteomics
                mcprot
                mcprot
                MCP
                Molecular & Cellular Proteomics : MCP
                The American Society for Biochemistry and Molecular Biology
                1535-9476
                1535-9484
                April 2018
                10 January 2018
                10 January 2018
                : 17
                : 4
                : 792-809
                Affiliations
                [1]From the ‡School of Biological Sciences, Medical Biology Centre, Queen's University Belfast, Belfast, Northern Ireland, UK;
                [2]§Institute for Global Food Security (IGFS), Queen's University Belfast, Belfast, Northern Ireland, UK;
                [3]¶Departamento de Genética, Facultad de Medicina, Universidad de la República, Uruguay;
                [4]‖School of Biotechnology, Dublin City University, Ireland;
                [5]**The i3 Institute and School of Medical and Molecular Biosciences, University of Technology, Sydney, Australia
                Author notes
                ‡‡ To whom correspondence should be addressed: School of Biological Sciences, Medical Biology Centre, Queen's University Belfast, Belfast, Northern Ireland, BT9 7BL, UK. Tel.: +44-28-90972269; Fax: +44-28-90975877; E-mail: k.cwiklinski@ 123456qub.ac.uk .

                Author contributions: J.P.D. and K.C. conceived the study and contributed resources. K.C., P.M.V., A.G.M., J.T., S.M.O., M.W.R., S.D., and J.P.D. prepared parasite material for sequencing and proteomics. H.J. performed the microscopy for the neoblast and immunolocalisation studies. T.B. and J.P.D. generated the F. hepatica-specific antibodies. K.C. and J.P.D. performed the research and analysed and interpreted the data. K.C. and J.P.D. wrote the manuscript, with substantial input from all authors. All authors read and approved the final manuscript.

                Article
                RA117.000445
                10.1074/mcp.RA117.000445
                5880117
                29321187
                06cf3f3c-0696-4b16-892a-ae296170f762
                © 2018 by The American Society for Biochemistry and Molecular Biology, Inc.

                Author's Choice—Final version free via Creative Commons CC-BY license.

                History
                : 2 November 2017
                : 12 December 2017
                Funding
                Funded by: European Research Council Advanced Grant , open-funder-registry 10.13039/100011199;
                Award ID: HELIVAC 322725
                Funded by: Science Foundation Ireland , open-funder-registry 10.13039/501100001602;
                Funded by: Department of Employment and Learning, NI , open-funder-registry 10.13039/100008303;
                Award ID: 14/IA/2304
                Funded by: RCUK Biotechnology and Biological Sciences Research Council (BBSRC) , open-funder-registry 10.13039/501100000268;
                Award ID: BB/K009583/1
                Award ID: BB/L019612/1
                Funded by: EC Horizon 2020 Framework Programme (H2020) , open-funder-registry 10.13039/100010661;
                Award ID: PARAGONE
                Categories
                Research

                Molecular biology
                Molecular biology

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