Molecular Consequences of Peripheral Influenza A Infection on Cell Populations in the Murine Hypothalamus
Lemcke, R.; Egebjerg, C.; Berendtsen, N. T.; Egerod, K. L.; Thomsen, A. R.; Pers, T. H.; Christensen, J. P.; Kornum, B. R.
Show abstract
Infection with Influenza A virus (IAV) causes the well-known symptoms of the flu, including fever, loss of appetite and excessive sleepiness. These responses, mediated by the brain, will normally disappear once the virus is cleared from the system, but a severe respiratory virus infection may cause long-lasting neurological disturbances. These include encephalitis lethargica and narcolepsy. The mechanisms behind such long lasting changes are unknown. The hypothalamus is a central regulator of the homeostatic response during a viral challenge. To gain insight into the neuronal and non-neuronal molecular changes during an IAV infection, we intranasally infected mice with an H1N1 virus and extracted the brain at different time points. Using single-nucleus RNA sequencing (snRNA-seq) of the hypothalamus, we identify transcriptional effects in all identified cell populations. The snRNA-seq data showed the most pronounced transcriptional response at 3 days past infection, with a strong downregulation of genes across all cell types. General immune processes were mainly impacted in microglia, the brain resident immune cells, where we found increased numbers of cells expressing pro-inflammatory gene networks. In addition, we found that most neuronal cell populations downregulated genes contributing to the energy homeostasis in mitochondria and protein translation in the cytosol, indicating potential reduced cellular and neuronal activity. This might be a preventive mechanism in neuronal cells to avoid intracellular viral replication and attack by phagocytosing cells. The change of microglia gene activity suggest that this is complemented by a shift in microglia activity to provide increased surveillance of their surroundings.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Conserved and cell type-specific transcriptional responses to IFN-γ in the ventral midbrain 96%
- The human microglia responsome: a resource to better understand microglia states in health and disease 94%
- Transcriptional and Cellular Response of hiPSC-derived Microglia-Neural Progenitor Co-Cultures Exposed to IL-6 94%
Similar papers in this journal
- Prions induce minor genome-wide translational changes in neurons compared to glia 95%
- Single cell transcriptomics of vomeronasal neuroepithelium reveals a differential endoplasmic reticulum environment amongst neuronal subtypes 95%
- Subcellular sequencing of single neurons reveals the dendritic transcriptome of GABAergic interneurons 94%
Similar papers in this journal
- Monitoring regional astrocyte diversity by cell-type specific proteomic labeling in vivo 95%
- Defining the pig microglial transcriptome reveals their core signature, regional heterogeneity, and similarity with humans 94%
- Transcriptome network analysis link perinatal Staphylococcus epidermidis infection to microglia reprogramming in the immature hippocampus 94%
Similar papers in this journal
- Integrative transcriptomics reveals sexually dimorphic microRNA control of the cholinergic/neurokine interface in schizophrenia and bipolar disorder 94%
- A single-cell RNA expression map of human coronavirus entry factors 94%
- Molecular and Functional Asymmetry in Cckar-expressing Vagal Sensory Neurons 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.