High-Sensitivity RT-LAMP for Molecular Detection of O’nyong-nyong (Alphavirus onyong)

Mosquitoes serve as vectors for many arthropod-borne viruses (arboviruses) that are responsible for millions of human infections and thousands of deaths each year. Among these arboviruses, O'nyong-nyong virus (ONNV) is an African alphavirus mainly transmitted by <i>Anopheles</i> mosquitoes. ONNV can be detected through serological or molecular tests, the first showing cross-reactivity to co-circulating alphaviruses and requiring technically demanding confirmation, while the latter, usually based on real-time PCR, are costly and demand specific equipment. Isothermal amplification approaches, such as Loop-Mediated Isothermal Amplification (LAMP), should therefore provide a cost-effective, sensitive, and specific alternative for virus detection, suitable for the resource-limited regions where ONNV circulates up to the present time. Here, we describe the development and optimization of a rapid and highly sensitive (10 pfu/reaction) RT-LAMP assay for ONNV detection. Additionally, we demonstrate that it is possible to bypass the RNA extraction step, reducing sample handling time and costs. The final RT-LAMP<sub>ONNV</sub> is a promising field detection tool for ONNV, enabling a better understanding of its impact and serving as a point-of-care diagnostic method.

Authors

Institutions

Publication Details

Journal
Pathogens
Published
2024-10-11
DOI
https://doi.org/10.3390/pathogens13100892
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-Sensitivity RT-LAMP for Molecular Detection of O’nyong-nyong (Alphavirus onyong)

David Faísca-Silva, Gonçalo Seixas, Ricardo Parreira, Mónica Nunes
Pathogens
Mosquito-borne diseases and control
article

High-Sensitivity RT-LAMP for Molecular Detection of O’nyong-nyong (Alphavirus onyong)

David Faísca-Silva, Gonçalo Seixas, Ricardo Parreira, Mónica Nunes
article en

Abstract

Mosquitoes serve as vectors for many arthropod-borne viruses (arboviruses) that are responsible for millions of human infections and thousands of deaths each year. Among these arboviruses, O'nyong-nyong virus (ONNV) is an African alphavirus mainly transmitted by <i>Anopheles</i> mosquitoes. ONNV can be detected through serological or molecular tests, the first showing cross-reactivity to co-circulating alphaviruses and requiring technically demanding confirmation, while the latter, usually based on real-time PCR, are costly and demand specific equipment. Isothermal amplification approaches, such as Loop-Mediated Isothermal Amplification (LAMP), should therefore provide a cost-effective, sensitive, and specific alternative for virus detection, suitable for the resource-limited regions where ONNV circulates up to the present time. Here, we describe the development and optimization of a rapid and highly sensitive (10 pfu/reaction) RT-LAMP assay for ONNV detection. Additionally, we demonstrate that it is possible to bypass the RNA extraction step, reducing sample handling time and costs. The final RT-LAMP<sub>ONNV</sub> is a promising field detection tool for ONNV, enabling a better understanding of its impact and serving as a point-of-care diagnostic method.

PathogensVol. 13(10)
University of Lisbon (PT), Instituto de Investigação Científica Tropical (PT)
Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 73%
Mosquito-borne diseases and control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

High-Sensitivity RT-LAMP for Molecular Detection of O’nyong-nyong (Alphavirus onyong) — David Faísca-Silva, Gonçalo Seixas, et al. · Pathogens (2024) | TGRS Research Map | TGRS