bioRxivNeurosciencePreprint
Rod-shaped microglia interact with neuronal dendrites to regulate cortical excitability in TDP-43 related neurodegeneration
Manling XieiD, Alessandra S. MilleriD, Praveen N. Pallegar, Anthony D. UmpierreiD, Yue LiangiD, Na WangiD, Shuwen ZhangiD, Nagaswaroop Kengunte NagarajiD, Zachary C. FogartyiD, Nikhil B GhayaliD, Björn OskarssoniD, Shunyi ZhaoiD, Jiaying ZhengiD, Fangfang QiiD, Aivi T. NguyeniD, Dennis W. DicksoniD, Long‐Jun WuiD
Abstract
Motor cortical hyperexcitability is well-documented in the presymptomatic stage of amyotrophic lateral sclerosis (ALS). However, the mechanisms underlying this early dysregulation are not fully understood. Microglia, as the principal immune cells of the central nervous system, have emerged as important players in sensing and regulating neuronal activity. Here we investigated the role of microglia in the motor cortical circuits in a mouse model of TDP-43 neurodegeneration (rNLS8). Utilizing multichannel probe recording and longitudinal in vivo calcium imaging in awake mice, we observed neuronal hyperactivity at the initial stage of disease progression. Spatial and single-cell RNA sequencing revealed that microglia are the primary responders to motor cortical hyperactivity. We further identified a unique subpopulation of microglia, rod-shaped microglia, which are characterized by a distinct morphology and transcriptional profile. Notably, rod-shaped microglia predominantly interact with neuronal dendrites and excitatory synaptic inputs to attenuate motor cortical hyperactivity. The elimination of rod-shaped microglia through TREM2 deficiency increased neuronal hyperactivity, exacerbated motor deficits, and further decreased survival rates of rNLS8 mice. Together, our results suggest that rod-shaped microglia play a neuroprotective role by attenuating cortical hyperexcitability in the mouse model of TDP-43 related neurodegeneration.
- organism: mouse
- assay: spatial transcriptomics
- assay: electronic health records
- research focus: cell type annotation
- approach: statistical model
- Citations
- 8
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