Resilience in Long-Term Viral Infection: Genetic Determinants and Interactions.
Resilience in Long-Term Viral Infection: Genetic Determinants and Interactions.
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DOI:
10.3390/ijms222111379
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发表时间:
2021-10-21
影响因子:
5.6
通讯作者:
Threadgill DW
中科院分区:
文献类型:
--
作者:
Brinkmeyer-Langford C;Amstalden K;Konganti K;Hillhouse A;Lawley K;Perez-Gomez A;Young CR;Welsh CJ;Threadgill DW
Virus-induced neurological sequelae resulting from infection by Theiler’s murine encephalomyelitis virus (TMEV) are used for studying human conditions ranging from epileptic seizures to demyelinating disease. Mouse strains are typically considered susceptible or resistant to TMEV infection based on viral persistence and extreme phenotypes, such as demyelination. We have identified a broader spectrum of phenotypic outcomes by infecting strains of the genetically diverse Collaborative Cross (CC) mouse resource. We evaluated the chronic-infection gene expression profiles of hippocampi and thoracic spinal cords for 19 CC strains in relation to phenotypic severity and TMEV persistence. Strains were clustered based on similar phenotypic profiles and TMEV levels at 90 days post-infection, and we categorized distinct TMEV response profiles. The three most common profiles included “resistant” and “susceptible,” as before, as well as a “resilient” TMEV response group which experienced both TMEV persistence and mild neurological phenotypes even at 90 days post-infection. Each profile had a distinct gene expression signature, allowing the identification of pathways and networks specific to each TMEV response group. CC founder haplotypes for genes involved in these pathways/networks revealed candidate response-specific alleles. These alleles demonstrated pleiotropy and epigenetic (miRNA) regulation in long-term TMEV infection, with particular relevance for resilient mouse strains.
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影响因子:
7.3
作者:
Borba VV;Zandman-Goddard G;Shoenfeld Y
通讯作者:
Shoenfeld Y
影响因子:
14.9
作者:
Blake JA;Baldarelli R;Kadin JA;Richardson JE;Smith CL;Bult CJ;Mouse Genome Database Group
通讯作者:
Mouse Genome Database Group
影响因子:
3.7
作者:
Cammaerts S;Strazisar M;De Rijk P;Del Favero J
通讯作者:
Del Favero J
影响因子:
5.6
作者:
Afrasiabi A;Fewings NL;Schibeci SD;Keane JT;Booth DR;Parnell GP;Swaminathan S
通讯作者:
Swaminathan S
影响因子:
3.3
作者:
Chatel-Chaix, Laurent;Boulay, Karine;Mouland, Andrew J.;DesGroseillers, Luc
通讯作者:
DesGroseillers, Luc