Rapid On-Site Detection of Arboviruses by a Direct RT-qPCR Assay.

arbovirus direct RT-qPCR field diagnosis infected mosquitoes supernatant

Journal

Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191

Informations de publication

Date de publication:
16 Dec 2023
Historique:
received: 17 09 2023
revised: 23 10 2023
accepted: 27 10 2023
medline: 22 12 2023
pubmed: 22 12 2023
entrez: 22 12 2023
Statut: epublish

Résumé

Arthropod-borne diseases currently constitute a source of major health concerns worldwide. They account for about 50% of global infectious diseases and cause nearly 700,000 deaths every year. Their rapid increase and spread constitute a huge challenge for public health, highlighting the need for early detection during epidemics, to curtail the virus spread, and to enhance outbreak management. Here, we compared a standard quantitative polymerase chain reaction (RT-qPCR) and a direct RT-qPCR assay for the detection of Zika (ZIKV), Chikungunya (CHIKV), and Rift Valley Fever (RVFV) viruses from experimentally infected-mosquitoes. The direct RT-qPCR could be completed within 1.5 h and required 1 µL of viral supernatant from homogenized mosquito body pools. Results showed that the direct RT-qPCR can detect 85.71%, 89%, and 100% of CHIKV, RVFV, and ZIKV samples by direct amplifications compared to the standard method. The use of 1:10 diluted supernatant is suggested for CHIKV and RVFV direct RT-qPCR. Despite a slight drop in sensitivity for direct PCR, our technique is more affordable, less time-consuming, and provides a better option for qualitative field diagnosis during outbreak management. It represents an alternative when extraction and purification steps are not possible because of insufficient sample volume or biosecurity issues.

Identifiants

pubmed: 38131795
pii: bios13121035
doi: 10.3390/bios13121035
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Innovative Medicines Initiative 2 Joint Undertaking (JU)
ID : 823666

Auteurs

Moufid Mhamadi (M)

Department of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.

Giulia Mencattelli (G)

Department of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.

Alioune Gaye (A)

Department of Medical Zoology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.

El Hadji Ndiaye (EH)

Department of Medical Zoology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.

Aïssatou Aïcha Sow (AA)

Department of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.

Martin Faye (M)

Department of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.

Marie Henriette Dior Ndione (MHD)

Department of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.

Moussa Moïse Diagne (MM)

Department of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.

Moundhir Mhamadi (M)

DIATROPIX, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.

Ousmane Faye (O)

Department of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.

Manfred Weidmann (M)

Institute of Microbiology and Virology, Brandenburg Medical School Theodor Fontane, 01968 Senftenberg, Germany.

Oumar Faye (O)

Department of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.

Mawlouth Diallo (M)

DIATROPIX, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.

Cheikh Tidiane Diagne (CT)

Department of Virology, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.
DIATROPIX, Fondation Institut Pasteur de Dakar 36, Avenue Pasteur, Dakar 220, Senegal.

Classifications MeSH