Local demyelination rekindles oligodendrocyte precursor dynamics and remyelination in old age
Eichenseer, K.; Askari, S.; Shkurti, L.; Misgeld, T.; Snaidero, N.
Show abstract
Cortical myelination is critical for circuit function, plasticity, and long-term stability in the adult brain. With age and disease, the capacity to restore myelin after oligodendrocyte (OL) loss declines, and this failure is thought to reflect intrinsic limitations of OL precursor cells (OPCs) and a loss of permissive cues within the cortical environment. Here, using single-OL ablations and intravital imaging in mice, we show that as cortical remyelination efficiency declines, OPC motility declines, a phenomenon that can be mimicked by blocking CXCL12/CXCR4 signaling. Counter to prevailing notions, however, we find that even in aging, OPCs retain the capacity to generate new OLs and sheath axons, which can be rekindled by a graded demyelinating stimulus, inducing a more juvenile OPC motile state. This reveals an unrecognized remyelination potential in aging and identifies OPC dynamics as a key determinant of cortical remyelination, a property that could be targeted to improve myelin repair.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Senescent-like microglia limit remyelination through the senescence associated secretory phenotype 96%
- Impaired bidirectional communication between interneurons and oligodendrocyte precursor cells affects cognitive behavior 96%
- Entorhinal cortex vulnerability to human APP expression promotes hyperexcitability and tau pathology 96%
Similar papers in this journal
- CA2 inhibition reduces the precision of hippocampal assembly reactivation 95%
- The hippocampus as a perceptual map: neuronal and behavioral discrimination during memory encoding 95%
- Three-dimensional reconstructions of mechanosensory end organs suggest a unifying mechanism underlying dynamic, light touch 95%
"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.