bioRxivImmunologyPreprint
Temporal single-cell profiling uncovers age-associated delays in immune resolution to respiratory viral infection
Yue WuiD, Chaofan LiiD, Jinyi TangiD, Xiaochen GaoiD, In Su CheoniD, Bibo ZhuiD, Ruixuan ZhangiD, Cori E. FainiD, Shengen Shawn HuiD, Harish NarasimhaniD, Gislane de Almeida SantosiD, Katayoun AyasoufiiD, Aaron J. JohnsoniD, Hui ZongiD, Chongzhi ZangiD, Haidong DongiD, Jie SuniD
Abstract
Aging is a major risk factor for increased morbidity and mortality following acute respiratory virus infections. To elucidate the immune determinants underlying viral pathogenesis and delayed lung repair in the aged lung, a comprehensive time-course study was conducted. Single-cell RNA sequencing (scRNAseq) and high-dimensional flow cytometry were utilized to compare lungs from young and aged mice infected with influenza A virus (IAV). Aged hosts displayed diminished alveolar macrophage (AM) and dendritic cell (DC) but elevated monocyte-derived macrophage (MoM) and interstitial macrophage (IM) presence following infection. Additionally, enhanced accumulation of adaptive immune cells, including CD4+ tissue-resident helper (TRH) cells, CD8+ tissue-resident memory (TRM) cells, and a B cell subset resembling age-associated B cells, was observed in the memory phase. Pathway analysis revealed that elevated type I and II interferon (IFN/{gamma}) signaling, especially in MoM/IM subsets, distinguished the aged hosts from the young. Inhibition of IFN/{gamma} signaling after viral clearance improved long-term respiratory outcomes and reduced both IM and TRH populations in aged mice. These findings highlight the pivotal role of IFN/{gamma} signaling, likely within MoM/IM subsets, in driving the exuberant persistence of adaptive immune cells and chronic immunopathology in the aged lung following acute viral infection.
- organism: mouse
- assay: scRNA-seq
- assay: flow cytometry
- research focus: cell type annotation
- research focus: differential expression
- research focus: cell-cell communication
- research focus: gene regulatory network inference
- approach: experimental assay
- approach: statistical model
- Citations
- 0
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