Evaluation of Diagnostic Performance of a Multiplex RT-qPCR Method for Detecting DENV Serotypes and CHIKV in Clinical Samples, Ouagadougou, Burkina Faso

Introduction: Arbovirus diseases such as dengue and chikungunya threaten public health worldwide. Early and rapid diagnosis and surveillance of dengue virus (DENV) and chikungunya virus (CHIKV) infections are essential to the control of these diseases. In this study, we evaluate the diagnostic performance of our new in-house multiplex RT-qPCR method for detecting DENV serotypes and CHIKV in an external laboratory. Methodology: The evaluation study was conducted on 200 clinical samples of suspected patients for arbovirus disease infection, collected in Centre de Recherche Biomoléculaire Pietro Annigoni (CERBA), Ouagadougou, Burkina Faso. Our new multiplex RT-qPCR was compared to the commercial kit, the Zika, Dengue, and Chikungunya (ZDC) Real-Time PCR Assays kit (Bio-Rad, California, USA). Results and Conclusions: Among 200 samples, 21.5% (43/200) were DENV-positive by multiplex RT-qPCR, and 21.5% (43/200) were also DENV-positive by reference real-time RT-PCR. 157 (78.5%) samples tested negative for DENV by both tests (new mRT-qPCR and reference test). The sensitivity and specificity of mRT-qPCR were 100%. The DENV serotypes detected were DENV-1 60.5% (26/43) and DENV-3 39.5% (17/43). CHIKV was not detected in this study. Our new mRT-qPCR is sensitive, cost-effective, simple, and can be used in developing country laboratories.

Authors

Publication Details

Journal
Journal of Biosciences and Medicines
Published
2025-01-01
DOI
https://doi.org/10.4236/jbm.2025.131002
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Diagnostic Performance of a Multiplex RT-qPCR Method for Detecting DENV Serotypes and CHIKV in Clinical Samples, Ouagadougou, Burkina Faso

Albert Théophane Yonli, Armel Moumouni Sanou, Shoukrat Ohuwa Toyin Bello, Louis Robert W. Belem et al.
Journal of Biosciences and Medicines
Mosquito-borne diseases and control
article

Evaluation of Diagnostic Performance of a Multiplex RT-qPCR Method for Detecting DENV Serotypes and CHIKV in Clinical Samples, Ouagadougou, Burkina Faso

Albert Théophane Yonli, Armel Moumouni Sanou, Shoukrat Ohuwa Toyin Bello, Louis Robert W. Belem, Théodora Mahoukèdè Zohoncon, Michel Kiréopori Gomgnimbou, Jacques Simpore, Boukandou Passi L. Mongo
article en

Abstract

Introduction: Arbovirus diseases such as dengue and chikungunya threaten public health worldwide. Early and rapid diagnosis and surveillance of dengue virus (DENV) and chikungunya virus (CHIKV) infections are essential to the control of these diseases. In this study, we evaluate the diagnostic performance of our new in-house multiplex RT-qPCR method for detecting DENV serotypes and CHIKV in an external laboratory. Methodology: The evaluation study was conducted on 200 clinical samples of suspected patients for arbovirus disease infection, collected in Centre de Recherche Biomoléculaire Pietro Annigoni (CERBA), Ouagadougou, Burkina Faso. Our new multiplex RT-qPCR was compared to the commercial kit, the Zika, Dengue, and Chikungunya (ZDC) Real-Time PCR Assays kit (Bio-Rad, California, USA). Results and Conclusions: Among 200 samples, 21.5% (43/200) were DENV-positive by multiplex RT-qPCR, and 21.5% (43/200) were also DENV-positive by reference real-time RT-PCR. 157 (78.5%) samples tested negative for DENV by both tests (new mRT-qPCR and reference test). The sensitivity and specificity of mRT-qPCR were 100%. The DENV serotypes detected were DENV-1 60.5% (26/43) and DENV-3 39.5% (17/43). CHIKV was not detected in this study. Our new mRT-qPCR is sensitive, cost-effective, simple, and can be used in developing country laboratories.

Journal of Biosciences and MedicinesVol. 13(01)
Partnerships for the goals
Openalex Percentile: Top 99%
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.

Evaluation of Diagnostic Performance of a Multiplex RT-qPCR Method for Detecting DENV Serotypes and CHIKV in Clinical Samples, Ouagadougou, Burkina Faso — Albert Théophane Yonli, Armel Moumouni Sanou, et al. · Journal of Biosciences and Medicines (2025) | TGRS Research Map | TGRS