Challenge infection model for MERS-CoV based on naturally infected camels

Bibliographic Details
Title: Challenge infection model for MERS-CoV based on naturally infected camels
Authors: Naif Khalaf Alharbi, Osman H. Ibrahim, Ali Alhafufi, Samy Kasem, Ali Aldowerij, Raed Albrahim, Ali Abu-obaidah, Ali Alkarar, Faisal Altaib Bayoumi, Ali Mohammed Almansour, Musaad Aldubaib, Hail M. Al-Abdely, Hanan H. Balkhy, Ibrahim Qasim
Source: Virology Journal, Vol 17, Iss 1, Pp 1-7 (2020)
Publisher Information: BMC, 2020.
Publication Year: 2020
Collection: LCC:Infectious and parasitic diseases
Subject Terms: MERS-CoV, Dromedary camels, Seroprevalence, Saudi Arabia, Vaccine efficacy, Challenge model, Infectious and parasitic diseases, RC109-216
More Details: Abstract Background Middle East Respiratory Syndrome coronavirus (MERS-CoV) is an emerging virus that infects humans and camels with no approved antiviral therapy or vaccine. Some vaccines are in development for camels as a one-health intervention where vaccinating camels is proposed to reduce human viral exposure. This intervention will require an understanding of the prior exposure of camels to the virus and appropriate vaccine efficacy studies in camels. Methods We conducted a cross sectional seroprevalence study in young dromedary camels to determine the rate of MERS-CoV seropositivity in young camels. Next, we utilised naturally infected camels as a natural challenge model that can be used by co-housing these camels with healthy naive camels in a ratio of 1 to 2. This model is aimed to support studies on natural virus transmission as well as evaluating drug and vaccine efficacy. Results We found that 90% of the screened camels have pre-existing antibodies for MERS-CoV. In addition, the challenge model resulted in MERS-CoV transmission within 48 h with infections that continued for 14 days post challenge. Conclusions Our finding suggests that the majority of young dromedary camels in Saudi Arabia are seropositive and that naturally infected camels can serve as a challenge model to assess transmission, therapeutics, and vaccine efficacy.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1743-422X
Relation: http://link.springer.com/article/10.1186/s12985-020-01347-5; https://doaj.org/toc/1743-422X
DOI: 10.1186/s12985-020-01347-5
Access URL: https://doaj.org/article/7d42c3225e5e45f3a54ec954440aebd4
Accession Number: edsdoj.7d42c3225e5e45f3a54ec954440aebd4
Database: Directory of Open Access Journals
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More Details
ISSN:1743422X
DOI:10.1186/s12985-020-01347-5
Published in:Virology Journal
Language:English