Microglia, the innate immune cells of the brain, are exquisitely sensitive to dynamic changes in the brain environment. We used single cell RNA sequencing to define glial responses in the early postnatal somatosensory cortex after partial whisker lesion, revealing transcriptomic shifts in both astrocytes and microglia during the resulting topographic remapping. The most distinct change was the emergence of a type I interferon (IFN-I) responsive microglia population that was rare in the resting cortex but expanded 20-fold after whisker deprivation. The top gene candidate in this cluster, Ifitm3, marked a conserved but transient subset of microglia that were in the process of phagocytosing whole cells. IFITM3 protein identified this subset in vivo, where it was enriched in early microglial phagosomes. Loss of canonical IFN-I signaling in Ifnar1-/- animals resulted in abnormal 'bubble' microglia with deficient phagolysosomal processing. In a meta-analysis of transcriptomes, we identified the IFN-I signature in microglia across a range of pathologies. We identified phagocytic IFITM3+ microglia in two murine disease models: SARS-CoV-2 infection and Alzheimer's Disease. These data reveal the potential of transcriptional profiling after defined perturbation to elicit transient microglial states, and identify a novel role for IFN-I signaling in regulating microglial phagocytosis.

Loss of metabolic homeostasis is one of the hallmarks of the aging process that might contribute to pathogenesis by creating a permissive landscape over which neurodegenerative diseases can take hold. AMPK, a conserved energy sensor, extends lifespan and is protective in some neurodegenerative models. AMPK regulates mitochondrial homeostasis and morphology, however, whether mitochondrial regulation causally links AMPK to protection against loss of neuronal function with aging and diseases remains unclear. Here we use an associative learning protocol in C. elegans as a readout of neuronal function and show that AMPK activation enhances associative learning and prevents age-related loss of learning capacity. AMPK promotes neuronal mitochondrial fusion and driving mitochondrial fragmentation via fzo-1 deletion blocks AMPK's effects on associative learning. Restoring mitochondrial fusion capacity specifically in the neurons rescues learning capacity downstream of AMPK. Finally, AMPK activation rescues neuronal Aβ42 induced loss of associative learning. Overall, our results suggest that targeting neuronal metabolic flexibility may be a viable therapeutic option to restore neuronal function in the context of aging and neurodegenerative diseases.