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4 results on '"Nogueira, Mauricio L."'

1. Serotype-specific detection of dengue viruses in a nonstructural protein 1-based enzyme-linked immunosorbent assay validated with a multi-national cohort

Author

Bosch, Irene, Reddy, Ankita, de Puig, Helena, Ludert, Juan E., Perdomo-Celis, Federico, Narváez, Carlos F., Versiani, Alice, Fandos, Diana, Nogueira, Mauricio L., Singla, Mohit, Lodha, Rakesh, Medigeshi, Guruprasad R., Lorenzana, Ivette, Ralde, Hugo Vicente, Gélvez-Ramírez, Margarita, Villar, Luis A., Hiley, Megan, Mendoza, Laura, Salcedo, Nol, Herrera, Bobby Brooke, Gehrke, Lee, Bosch, Irene, Reddy, Ankita, de Puig, Helena, Ludert, Juan E., Perdomo-Celis, Federico, Narváez, Carlos F., Versiani, Alice, Fandos, Diana, Nogueira, Mauricio L., Singla, Mohit, Lodha, Rakesh, Medigeshi, Guruprasad R., Lorenzana, Ivette, Ralde, Hugo Vicente, Gélvez-Ramírez, Margarita, Villar, Luis A., Hiley, Megan, Mendoza, Laura, Salcedo, Nol, Herrera, Bobby Brooke, and Gehrke, Lee

Abstract

© 2020 Bosch et al. Background Dengue virus (DENV) infections pose one of the largest global barriers to human health. The four serotypes (DENV 1–4) present different symptoms and influence immune response to subsequent DENV infections, rendering surveillance, risk assessments, and disease control particularly challenging. Early diagnosis and appropriate clinical management is critical and can be achieved by detecting DENV nonstructural protein 1 (NS1) in serum during the acute phase. However, few NS1-based tests have been developed that are capable of differentiat-ing DENV serotypes and none are currently commercially available. Methodology/Principle findings We developed an enzyme-linked immunosorbent assay (ELISA) to distinguish DENV-1-4 NS1 using serotype-specific pairs of monoclonal antibodies. A total of 1,046 antibodies were harvested from DENV-immunized mice and screened for antigen binding affinity. ELISA clinical performance was evaluated using 408 polymerase chain reaction-confirmed dengue samples obtained from patients in Brazil, Honduras, and India. The overall sensitiv-ity of the test for pan-DENV was 79.66% (325/408), and the sensitivities for DENV-1-4 sero-typing were 79.1% (38/48), 80.41% (78/97), 100% (45/45), and 79.6% (98/123), respectively. Specificity reached 94.07–100%. Significance Our study demonstrates a robust antibody screening strategy that enabled the development of a serotype NS1-based ELISA with maximized specific and sensitive antigen binding. This sensitive and specific assay also utilized the most expansive cohort to date, and of which about half are from Latin America, a geographic region severely underrepresented in previous similar studies. This ELISA test offers potential enhanced diagnostics during the acute phase of infection to help guide patient care and disease control. These results indicate that this ELISA is a promising aid in early DENV-1-4 diagnosis and surveillance in regions of endemicity in addition to offer conven

Published
2022

2. Serotype-specific detection of dengue viruses in a nonstructural protein 1-based enzyme-linked immunosorbent assay validated with a multi-national cohort

Author

Bosch, Irene, Reddy, Ankita, de Puig, Helena, Ludert, Juan E, Perdomo-Celis, Federico, Narváez, Carlos F, Versiani, Alice, Fandos, Diana, Nogueira, Mauricio L, Singla, Mohit, Lodha, Rakesh, Medigeshi, Guruprasad R, Lorenzana, Ivette, Ralde, Hugo Vicente, Gélvez-Ramírez, Margarita, Villar, Luis A, Hiley, Megan, Mendoza, Laura, Salcedo, Nol, Herrera, Bobby Brooke, Gehrke, Lee, Bosch, Irene, Reddy, Ankita, de Puig, Helena, Ludert, Juan E, Perdomo-Celis, Federico, Narváez, Carlos F, Versiani, Alice, Fandos, Diana, Nogueira, Mauricio L, Singla, Mohit, Lodha, Rakesh, Medigeshi, Guruprasad R, Lorenzana, Ivette, Ralde, Hugo Vicente, Gélvez-Ramírez, Margarita, Villar, Luis A, Hiley, Megan, Mendoza, Laura, Salcedo, Nol, Herrera, Bobby Brooke, and Gehrke, Lee

Abstract

© 2020 Bosch et al. Background Dengue virus (DENV) infections pose one of the largest global barriers to human health. The four serotypes (DENV 1–4) present different symptoms and influence immune response to subsequent DENV infections, rendering surveillance, risk assessments, and disease control particularly challenging. Early diagnosis and appropriate clinical management is critical and can be achieved by detecting DENV nonstructural protein 1 (NS1) in serum during the acute phase. However, few NS1-based tests have been developed that are capable of differentiat-ing DENV serotypes and none are currently commercially available. Methodology/Principle findings We developed an enzyme-linked immunosorbent assay (ELISA) to distinguish DENV-1-4 NS1 using serotype-specific pairs of monoclonal antibodies. A total of 1,046 antibodies were harvested from DENV-immunized mice and screened for antigen binding affinity. ELISA clinical performance was evaluated using 408 polymerase chain reaction-confirmed dengue samples obtained from patients in Brazil, Honduras, and India. The overall sensitiv-ity of the test for pan-DENV was 79.66% (325/408), and the sensitivities for DENV-1-4 sero-typing were 79.1% (38/48), 80.41% (78/97), 100% (45/45), and 79.6% (98/123), respectively. Specificity reached 94.07–100%. Significance Our study demonstrates a robust antibody screening strategy that enabled the development of a serotype NS1-based ELISA with maximized specific and sensitive antigen binding. This sensitive and specific assay also utilized the most expansive cohort to date, and of which about half are from Latin America, a geographic region severely underrepresented in previous similar studies. This ELISA test offers potential enhanced diagnostics during the acute phase of infection to help guide patient care and disease control. These results indicate that this ELISA is a promising aid in early DENV-1-4 diagnosis and surveillance in regions of endemicity in addition to offer conven

Published
2021

3. Field-deployable viral diagnostics using CRISPR-Cas13

Author

McGovern Institute for Brain Research at MIT, Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology. Department of Biological Engineering, Harvard University--MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Institute for Medical Engineering & Science, Myhrvold, Cameron, Freije, Catherine A., Gootenberg, Jonathan S, Abudayyeh, Omar O., Metsky, Hayden C., Durbin, Ann F, Kellner, Max J., Tan, Amanda L., Paul, Lauren M., Parham, Leda A., Garcia, Kimberly F., Barnes, Kayla G., Chak, Bridget, Mondini, Adriano, Nogueira, Mauricio L., Isern, Sharon, Michael, Scott F., Lorenzana, Ivette, Yozwiak, Nathan L., MacInnis, Bronwyn L., Bosch, Irene, Gehrke, Lee, Zhang, Feng, Sabeti, Pardis C., McGovern Institute for Brain Research at MIT, Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology. Department of Biological Engineering, Harvard University--MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Institute for Medical Engineering & Science, Myhrvold, Cameron, Freije, Catherine A., Gootenberg, Jonathan S, Abudayyeh, Omar O., Metsky, Hayden C., Durbin, Ann F, Kellner, Max J., Tan, Amanda L., Paul, Lauren M., Parham, Leda A., Garcia, Kimberly F., Barnes, Kayla G., Chak, Bridget, Mondini, Adriano, Nogueira, Mauricio L., Isern, Sharon, Michael, Scott F., Lorenzana, Ivette, Yozwiak, Nathan L., MacInnis, Bronwyn L., Bosch, Irene, Gehrke, Lee, Zhang, Feng, and Sabeti, Pardis C.

Abstract

Mitigating global infectious disease requires diagnostic tools that are sensitive, specific, and rapidly field deployable. In this study, we demonstrate that the Cas13-based SHERLOCK (specific high-sensitivity enzymatic reporter unlocking) platform can detect Zika virus (ZIKV) and dengue virus (DENV) in patient samples at concentrations as low as 1 copy per microliter. We developed HUDSON (heating unextracted diagnostic samples to obliterate nucleases), a protocol that pairs with SHERLOCK for viral detection directly from bodily fluids, enabling instrument-free DENV detection directly from patient samples in <2 hours. We further demonstrate that SHERLOCK can distinguish the four DENV serotypes, as well as region-specific strains of ZIKV from the 2015–2016 pandemic. Finally, we report the rapid (<1 week) design and testing of instrument-free assays to detect clinically relevant viral single-nucleotide polymorphisms., NIH (Grants AI-100190, 1R01-HG009761, 1R01-MH110049, and 1DP1-HL141201)

Published
2020

4. Understanding the potential impact of different drug properties on SARS-CoV-2 transmission and disease burden : a modelling analysis

Author

Pontificia Universidad Javeriana. Facultad de Medicina. Departamento de Epidemiología Clínica y Bioestadística, Whittaker, Charles, Watson, Oliver J., Moreno, Carlos Alvarez, Angkasekwinai, Nasikarn, Boonyasiri, Adhiratha, Triana, Luis Carlos, Chanda, Duncan, Charoenpong, Lantharita, Chayakulkeeree, Methee, Cooke, Graham S., Croda, Julio, Cucunubá, Zulma M, Djaafara, Bimandra A., Estofolete, Cassia F., Grillet, Maria Eugenia, Faria, Nuno R, Figueiredo Costa, Silvia, Forero Peña, David A, Gibb, Diana M, Gordon, Anthony C, Hamers, Raph L., Hamlet, Arran, Irawany, Vera, Jitmuang, Anupop, Hallett, Timothy B., Walker, Patrick G.T., Winskill, Peter, Valderrama-Beltrán, Sandra, Udwadia, Zarir, Thompson, Hayley A., Srisangthong, Pratthana, Sposito, Andrei C., Sirijatuphat, Rujipas, Sari, Djayanti, Sangkaew, Sorawat, Sabino, Ester C., Rodger, Alison J., Qavi, Ambar, Promsin, Panuwat, Phillips, Andrew N., Perroud Jr., Mauricio W., Ortiz Prado, Esteban, Nogueira, Mauricio L., Hannah Njeri, Ng’ang’a Irene, Ngamprasertchai, Thundon, Nayagam, Shevanthi, Mustafa, Rima, Lopardo, Gustavo, Levin, Anna S., Lampo, Margarita, Keurueangkul, Nukool, Pontificia Universidad Javeriana. Facultad de Medicina. Departamento de Epidemiología Clínica y Bioestadística, Whittaker, Charles, Watson, Oliver J., Moreno, Carlos Alvarez, Angkasekwinai, Nasikarn, Boonyasiri, Adhiratha, Triana, Luis Carlos, Chanda, Duncan, Charoenpong, Lantharita, Chayakulkeeree, Methee, Cooke, Graham S., Croda, Julio, Cucunubá, Zulma M, Djaafara, Bimandra A., Estofolete, Cassia F., Grillet, Maria Eugenia, Faria, Nuno R, Figueiredo Costa, Silvia, Forero Peña, David A, Gibb, Diana M, Gordon, Anthony C, Hamers, Raph L., Hamlet, Arran, Irawany, Vera, Jitmuang, Anupop, Hallett, Timothy B., Walker, Patrick G.T., Winskill, Peter, Valderrama-Beltrán, Sandra, Udwadia, Zarir, Thompson, Hayley A., Srisangthong, Pratthana, Sposito, Andrei C., Sirijatuphat, Rujipas, Sari, Djayanti, Sangkaew, Sorawat, Sabino, Ester C., Rodger, Alison J., Qavi, Ambar, Promsin, Panuwat, Phillips, Andrew N., Perroud Jr., Mauricio W., Ortiz Prado, Esteban, Nogueira, Mauricio L., Hannah Njeri, Ng’ang’a Irene, Ngamprasertchai, Thundon, Nayagam, Shevanthi, Mustafa, Rima, Lopardo, Gustavo, Levin, Anna S., Lampo, Margarita, and Keurueangkul, Nukool

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