Performance assessment of a multi-epitope chimeric antigen for the serological diagnosis of acute Mayaro fever

Abstract Mayaro virus (MAYV) is endemic to limited regions of South America and the possible involvement of Aedes spp. mosquitoes in its transmission increase the risk that its geographical range will reach greater populations. MAYV shares clinical symptoms and structural similarities with other emerging members of the alphavirus family such as Chikungunya (CHIKV), Ross River (RRV), and O'nyong nyong (ONNV) viruses, which complicate diagnosis and is currently restricted to nucleic acid-based tests. Effective control of the spread of these diseases will require the identification of infected individuals as well as the development of preventative and prophylactic therapies. Serological tests have a greater potential to expand testing at a reasonable cost than molecular approaches. Their performance largely reflects that of the antigen utilized to capture pathogen-specific antibodies. Here, we describe the assembly of a synthetic gene coding multiple copies of antigenic determinants mapped from the nsP1, nsP2, E1, and E2 proteins of MAYV that readily produced a stable chimeric protein in bacteria. The serological performance (AUC, sensitivity, specificity, and confidence intervals) of this multi-epitope protein as the target in ELISAs revealed a high diagnostic accuracy for the detection of specific anti-MAYV IgM antibodies. No cross-reactivity was observed with serum from seropositive individuals for CHIKV, yellow fever (vaccinated), dengue, Zika, and other infectious diseases as well as healthy individuals. Our data suggest that this bioengineered antigen could be used to develop high-performance serological tests for MAYV infections..

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

ResearchSquare.com - (2022) vom: 29. Juli Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

Napoleão-Pêgo, Paloma [VerfasserIn]
Carneiro, Flávia R. G. [VerfasserIn]
Durans, Andressa M. [VerfasserIn]
Morel, Carlos M. [VerfasserIn]
Provance, David W. [VerfasserIn]
De-Simone, Salvatore G. [VerfasserIn]

Links:

Volltext [lizenzpflichtig]
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Themen:

570
Biology

doi:

10.21203/rs.3.rs-156067/v1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XRA034392394