Aging significantly influences host immune responses to viral infections, including Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV), which is associated with high mortality in elderly patients. Despite its high fatality rate and pandemic potential, effective therapies remain unavailable, and the age-dependent mechanisms underlying SFTSV pathogenesis are not fully understood. To address this gap, we employed a ferret model (an immunocompetent animal model that mimics human SFTSV infections) and performed multi-tissue single-cell RNA sequencing and histopathological analyses. Our results reveal that, upon SFTSV infection, aged ferrets experience extensive decrease of critical immune cells (particularly B and T cells) due to infection-induced cell death and excessive hemophagocytosis in hematopoietic organs, whereas young-adult ferrets rapidly clear the virus with minimal lymphocyte changes. Notably, aged ferrets display marked immune dysregulation, characterized by non-specific activation of T-bet ⁺ age-associated memory B cells (T-bet+ ABCs) and the proliferation of defective plasmablasts (MKI67 ⁺ PB1), which serve as major viral reservoirs and drive systemic viral dissemination. Comparative analysis further demonstrated that the MKI67 ⁺ PB1 subset dominates SFTSV⁺ cells in both aged ferrets and human fatal cases, exhibiting the highest per-cell viral UMI counts. Moreover, monocytes and macrophages in aged ferrets exhibit heightened inflammatory gene expression, contributing to the hyper-inflammatory state observed during infection. Collectively, these insights underscore the critical role of dysregulated memory B cell responses and hyper-inflammation in age-dependent SFTSV pathogenesis, highlighting potential targets for interventions in elderly populations.
Building similarity graph...
Analyzing shared references across papers
Loading...
Eun-Ha Kim
Ho Bin Jang
Se‐Mi Kim
PLoS Pathogens
Cleveland Clinic Lerner College of Medicine
Institute for Basic Science
Chungbuk National University
Building similarity graph...
Analyzing shared references across papers
Loading...
Kim et al. (Tue,) studied this question.
www.synapsesocial.com/papers/68a363670a429f797332aad9 — DOI: https://doi.org/10.1371/journal.ppat.1013402