Serological Approaches for Trypanosoma cruzi Strain Typing

Balouz, Virginia; Bracco, Leonel E; Ricci, Alejandro D; Romer, Guadalupe; Agüero, Fernán; Buscaglia, Carlos A.

doi:10.1016/j.pt.2020.12.002

Cited by 10 publications

(10 citation statements)

References 85 publications

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“…Although TSSA is not a SA acceptor, it binds to mammalian cells and induces Ca 2+ signaling (Cańepa et al, 2012a). There are four allelic variants (TSSA I-IV), each one corresponding to an ancestral DTU (I-IV), while in hybrid genomes (DTU V-VI) TSSA isoforms II and III can be found (Balouz et al, 2021). TSSAII showed higher adhesion to host cells than TSSAI.…”

Section: -Tssamentioning

confidence: 99%

All Roads Lead to Cytosol: Trypanosoma cruzi Multi-Strategic Approach to Invasion

Ferri

Edreira

2021

Front. Cell. Infect. Microbiol.

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T. cruzi has a complex life cycle involving four developmental stages namely, epimastigotes, metacyclic trypomastigotes, amastigotes and bloodstream trypomastigotes. Although trypomastigotes are the infective forms, extracellular amastigotes have also shown the ability to invade host cells. Both stages can invade a broad spectrum of host tissues, in fact, almost any nucleated cell can be the target of infection. To add complexity, the parasite presents high genetic variability with differential characteristics such as infectivity. In this review, we address the several strategies T. cruzi has developed to subvert the host cell signaling machinery in order to gain access to the host cell cytoplasm. Special attention is made to the numerous parasite/host protein interactions and to the set of signaling cascades activated during the formation of a parasite-containing vesicle, the parasitophorous vacuole, from which the parasite escapes to the cytosol, where differentiation and replication take place.

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Section: -Tssamentioning

confidence: 99%

All Roads Lead to Cytosol: Trypanosoma cruzi Multi-Strategic Approach to Invasion

Ferri

Edreira

2021

Front. Cell. Infect. Microbiol.

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“…The major current challenge is discriminating between TcV and TcVI. 56 A more comprehensive screening of T cruzi genomic sequences and host antibody repertoire, combined with high-throughput immunome approaches, might provide new targets and possibilities in this field. 56 Defining the first immunological events triggered by infection with T cruzi belonging to distinct DTUs is of fundamental importance, as the initial immune response could influence disease outcome in the chronic phase.…”

Section: Reviewmentioning

confidence: 99%

“…56 A more comprehensive screening of T cruzi genomic sequences and host antibody repertoire, combined with high-throughput immunome approaches, might provide new targets and possibilities in this field. 56 Defining the first immunological events triggered by infection with T cruzi belonging to distinct DTUs is of fundamental importance, as the initial immune response could influence disease outcome in the chronic phase. A plethora of studies have shown that the indeterminate clinical form is associated with an activated, predominantly balanced, immune response, whereas the cardiac form is associated with the establishment of an unbalanced, inflammatory response.…”

Section: Reviewmentioning

confidence: 99%

Pathogen diversity, immunity, and the fate of infections: lessons learned from Trypanosoma cruzi human–host interactions

et al. 2022

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“…Besides, it is now becoming common to fit in the arrays additional sequence variants obtained from the pathogen population (from diverse strains and clinical isolates). One example are serological strain typing strategies (6), which would stress the capacity of these platforms.…”

Section: Introductionmentioning

confidence: 99%

APRANK: Computational Prioritization of Antigenic Proteins and Peptides From Complete Pathogen Proteomes

et al. 2021

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Availability of highly parallelized immunoassays has renewed interest in the discovery of serology biomarkers for infectious diseases. Protein and peptide microarrays now provide a rapid, high-throughput platform for immunological testing and validation of potential antigens and B-cell epitopes. However, there is still a need for tools to prioritize and select relevant probes when designing these arrays. In this work we describe a computational method called APRANK (Antigenic Protein and Peptide Ranker) which integrates multiple molecular features to prioritize potentially antigenic proteins and peptides in a given pathogen proteome. These features include subcellular localization, presence of repetitive motifs, natively disordered regions, secondary structure, transmembrane spans and predicted interaction with the immune system. We trained and tested this method with a number of bacteria and protozoa causing human diseases: Borrelia burgdorferi (Lyme disease), Brucella melitensis (Brucellosis), Coxiella burnetii (Q fever), Escherichia coli (Gastroenteritis), Francisella tularensis (Tularemia), Leishmania braziliensis (Leishmaniasis), Leptospira interrogans (Leptospirosis), Mycobacterium leprae (Leprae), Mycobacterium tuberculosis (Tuberculosis), Plasmodium falciparum (Malaria), Porphyromonas gingivalis (Periodontal disease), Staphylococcus aureus (Bacteremia), Streptococcus pyogenes (Group A Streptococcal infections), Toxoplasma gondii (Toxoplasmosis) and Trypanosoma cruzi (Chagas Disease). We have evaluated this integrative method using non-parametric ROC-curves and made an unbiased validation using Onchocerca volvulus as an independent data set. We found that APRANK is successful in predicting antigenicity for all pathogen species tested, facilitating the production of antigen-enriched protein subsets. We make APRANK available to facilitate the identification of novel diagnostic antigens in infectious diseases.

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Serological Approaches for Trypanosoma cruzi Strain Typing

Cited by 10 publications

References 85 publications

All Roads Lead to Cytosol: Trypanosoma cruzi Multi-Strategic Approach to Invasion

All Roads Lead to Cytosol: Trypanosoma cruzi Multi-Strategic Approach to Invasion

Pathogen diversity, immunity, and the fate of infections: lessons learned from Trypanosoma cruzi human–host interactions

APRANK: Computational Prioritization of Antigenic Proteins and Peptides From Complete Pathogen Proteomes

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