A Multi-epitope Protein for High-Performance Serodiagnosis of Chronic Chagas Disease in Elisa and Lateral Flow Platforms

How to cite: Dias, E. R.; Durans, A. M.; Succar, B. B.; Pinto, L. A. L. T.; Lechuga, G. C.; Miguez, M. G.; Figueira-Mansur, J.; Argondizzo, A. P. C.; Bernardo, A. R.; Diniz, R. L.; Esteves, G. S.; Silva, E. D.; Morel, C. M.; Borges-Pereira, J.; De-Simone, S. G.; Junqueira, A. C. V.; Provance, Jr, D. W. A Multi-epitope Protein for High-Performance Serodiagnosis of Chronic Chagas Disease in Elisa and Lateral Flow Platforms. Preprints 2024, 2024081519. https://doi.org/10.20944/preprints202408.1519.v1 Dias, E. R.; Durans, A. M.; Succar, B. B.; Pinto, L. A. L. T.; Lechuga, G. C.; Miguez, M. G.; Figueira-Mansur, J.; Argondizzo, A. P. C.; Bernardo, A. R.; Diniz, R. L.; Esteves, G. S.; Silva, E. D.; Morel, C. M.; Borges-Pereira, J.; De-Simone, S. G.; Junqueira, A. C. V.; Provance, Jr, D. W. A Multi-epitope Protein for High-Performance Serodiagnosis of Chronic Chagas Disease in Elisa and Lateral Flow Platforms. Preprints 2024, 2024081519. https://doi.org/10.20944/preprints202408.1519.v1

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MDPI and ACS Style

Dias, E. R.; Durans, A. M.; Succar, B. B.; Pinto, L. A. L. T.; Lechuga, G. C.; Miguez, M. G.; Figueira-Mansur, J.; Argondizzo, A. P. C.; Bernardo, A. R.; Diniz, R. L.; Esteves, G. S.; Silva, E. D.; Morel, C. M.; Borges-Pereira, J.; De-Simone, S. G.; Junqueira, A. C. V.; Provance, Jr, D. W. A Multi-epitope Protein for High-Performance Serodiagnosis of Chronic Chagas Disease in Elisa and Lateral Flow Platforms. Preprints 2024, 2024081519. https://doi.org/10.20944/preprints202408.1519.v1

APA Style

Dias, E. R., Durans, A. M., Succar, B. B., Pinto, L. A. L. T., Lechuga, G. C., Miguez, M. G., Figueira-Mansur, J., Argondizzo, A. P. C., Bernardo, A. R., Diniz, R. L., Esteves, G. S., Silva, E. D., Morel, C. M., Borges-Pereira, J., De-Simone, S. G., Junqueira, A. C. V., & Provance, Jr, D. W. (2024). A Multi-epitope Protein for High-Performance Serodiagnosis of Chronic Chagas Disease in Elisa and Lateral Flow Platforms. Preprints. https://doi.org/10.20944/preprints202408.1519.v1

Chicago/Turabian Style

Dias, E. R., Angela C. V. Junqueira and D. William Provance, Jr. 2024 "A Multi-epitope Protein for High-Performance Serodiagnosis of Chronic Chagas Disease in Elisa and Lateral Flow Platforms" Preprints. https://doi.org/10.20944/preprints202408.1519.v1

Abstract

We developed a protein to rapidly and accurately diagnose Chagas disease, a life-threatening illness identified by the WHO as a critical worldwide public health risk. Complicating the current health situation are serological test limitations that contribute to most infected persons being unaware of their condition and therefore untreated. To improve diagnostic testing, we developed an immunological mimic of the etiological agent, Trypanosoma cruzi, by combining ten pathogen specific epitopes within the beta-barrel protein structure of Thermal Green Protein. The resulting multi-epitope protein, DxCruziV3, displayed high specificity and sensitivity as the antibody capture reagent in an ELISA platform with an analytical sensitivity that exceeds WHO recommendations. Within an immunochromatographic platform, DxCruziV3 showed excellent performance for the point of application diagnosis in a region endemic for multiple diseases, the municipality of Barcelos in the state of Amazonas, Brazil. In total, 167 individuals were rapidly tested using whole blood from a finger stick. As recommended by the Brazilian Ministry of Health, venous blood samples were laboratory tested by conventional assays for comparison. Test results suggest utilizing DxCruziV3 in different assay platforms can confidently diagnosis chronic infections by T. cruzi. Rapid and more accurate results will benefit everyone but will have the most noticeable impact in resource-limited rural areas where the disease is endemic.

Keywords

Chagas disease; Diagnostics; ELISA; Lateral Flow tests; Synthetic protein; T. cruzi

Subject

Biology and Life Sciences, Biology and Biotechnology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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