A novel approach using IFNAR1 KO mice for assessing Akabane virus pathogenicity and vaccine efficacy

Akabane virus (AKAV) is a Simbu serogroup virus that can cause congenital abnormalities in ruminants. In 2010, an AKAV-7 strain exhibiting different characteristics and belonging to a distinctive genogroup compared to previous AKAVs was isolated in South Korea. Although this novel pathogenic AKAV-7 has been discovered, in vivo studies on AKAV-7 are currently insufficient due to limitations of using large animals and suckling mice. Therefore, the development of a novel small animal model for AKAV studies is necessary. Type I interferon receptor knock out (IFNAR1 KO) mice are widely employed as an infection model for Bunyavirales viruses. Here, we evaluated the suitability of IFNAR1 KO mice as a small animal model for AKAV infection. IFNAR1 KO mice inoculated with AKAV-7 strain by intraperitoneal (IP) and subcutaneous (SC) routes showed 100% mortality with high viral loads in organs and histopathological changes in the spleen and liver. These findings suggest that IFNAR1 KO mouse is susceptible to AKAV-7 infection and suitable for use as a uniformly lethal mouse model of AKAV-7. Furthermore, IFNAR1 KO mice vaccinated with the AKAV vaccine showed full protection against AKAV-7 challenge, suggesting that IFNAR1 KO mice might be useful as an animal model for AKAV vaccine studies.

Authors

Institutions

Publication Details

Journal
Vaccine
Published
2025-04-01
DOI
https://doi.org/10.1016/j.vaccine.2025.127094
Citations
2
Primary Topic
Vector-Borne Animal Diseases
Type
article
Field-Weighted Citation Impact
6.05

Funders

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

A novel approach using IFNAR1 KO mice for assessing Akabane virus pathogenicity and vaccine efficacy

Su-Beom Chae, Seok‐Chan Park, Chang‐Gi Jeong, Eun‐Jee Na et al.
2 citations
Vaccine
Vector-Borne Animal Diseases
6.05
article

A novel approach using IFNAR1 KO mice for assessing Akabane virus pathogenicity and vaccine efficacy

Su-Beom Chae, Seok‐Chan Park, Chang‐Gi Jeong, Eun‐Jee Na, Jae‐Ku Oem, Byungkwan Oh
article en
2 citations

Abstract

Akabane virus (AKAV) is a Simbu serogroup virus that can cause congenital abnormalities in ruminants. In 2010, an AKAV-7 strain exhibiting different characteristics and belonging to a distinctive genogroup compared to previous AKAVs was isolated in South Korea. Although this novel pathogenic AKAV-7 has been discovered, in vivo studies on AKAV-7 are currently insufficient due to limitations of using large animals and suckling mice. Therefore, the development of a novel small animal model for AKAV studies is necessary. Type I interferon receptor knock out (IFNAR1 KO) mice are widely employed as an infection model for Bunyavirales viruses. Here, we evaluated the suitability of IFNAR1 KO mice as a small animal model for AKAV infection. IFNAR1 KO mice inoculated with AKAV-7 strain by intraperitoneal (IP) and subcutaneous (SC) routes showed 100% mortality with high viral loads in organs and histopathological changes in the spleen and liver. These findings suggest that IFNAR1 KO mouse is susceptible to AKAV-7 infection and suitable for use as a uniformly lethal mouse model of AKAV-7. Furthermore, IFNAR1 KO mice vaccinated with the AKAV vaccine showed full protection against AKAV-7 challenge, suggesting that IFNAR1 KO mice might be useful as an animal model for AKAV vaccine studies.

VaccineVol. 53
Jeonbuk National University (KR)
National Research Foundation Singapore, Ministry of Education, National Research Foundation of Korea, Jeonbuk National University
Zero hunger
Openalex Percentile: Top 5%
Vector-Borne Animal Diseases
6.05
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.