Astrocytes regulate locomotion by orchestrating neuronal rhythmicity in the spinal network via potassium clearance
Barbay, T.; Pecchi, E.; Ducrocq, M.; Rouach, N.; Brocard, F.; Bos, R.
Show abstract
SO_SCPLOWUMMARYC_SCPLOWNeuronal rhythmogenesis in the spinal cord is correlated with variations in extracellular K+ levels ([K+]e). Astrocytes play important role in[K+]e homeostasis and compute neuronal information. Yet it is unclear how neuronal oscillations are regulated by astrocytic K+ homeostasis. Here we identify the astrocytic inward-rectifying K+ channel Kir4.1 (a.k.a. Kcnj10) as a key molecular player for neuronal rhythmicity in the spinal central pattern generator (CPG). By combining two-photon calcium imaging with electrophysiology, immunohistochemistry and genetic tools, we report that astrocytes display Ca2+ transients before and during oscillations of neighbouring neurons. Inhibition of astrocytic Ca2+ transients with BAPTA decreases the barium-sensitive Kir4.1 current responsible of K+ clearance. Finally, we show in mice that Kir4.1 knockdown in astrocytes progressively prevents neuronal oscillations and alters the locomotor pattern resulting in lower motor performances in challenging tasks. These data identify astroglial Kir4.1 channels as key regulators of neuronal rhythmogenesis in the CPG driving locomotion. SO_SCPLOWIGNIFICANCEC_SCPLOWO_SCPCAP C_SCPCAPO_SCPLOWSTATEMENTC_SCPLOWDespite decades of research, the cellular mechanisms responsible of the synchronized rhythmic oscillations driving locomotion remain elusive. To gain insight into the function of the spinal locomotor network, numerous studies have characterized diverse classes of locomotor-related neurons to determine their role in generating rhythmic movements during locomotion. In contrast, studies investigating non-neuronal components of the spinal cord are sparse. Our study represents a significant breakthrough by identifying astrocytic K+ uptake as a key regulator of neuronal rhythmicity synchronization and locomotor pattern at the cellular, microcircuit and system levels. These data provide mechanistic insights into the neuroglial dialogue at play during rhythmogenesis and point to a novel astroglial target for restoring normal neuronal network excitability in brain disorders and neurodegenerative diseases.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Activity-dependent tuning of intrinsic excitability in mouse and human neurogliaform cells 96%
- Dual mechanisms of opioid-induced respiratory depression in the inspiratory rhythm generating network 96%
- Astrocyte GluN2C NMDA receptors control basal synaptic strengths of hippocampal CA1 pyramidal neurons in the stratum radiatum 96%
Similar papers in this journal
- Astroglial gap junctions strengthen hippocampal network activity by sustaining afterhyperpolarization via KCNQ channels 96%
- Widespread innervation of motoneurons by spinal V3 neurons globally amplifies locomotor output in mice. 95%
- Mitochondrial dysfunction impairs human neuronal development and reduces neuronal network activity and synchronicity 95%
Similar papers in this journal
- An astrocytic signaling loop for frequency-dependent control of dendritic integration and spatial learning 96%
- Sensory input drives rapid homeostatic scaling of the axon initial segment in mouse barrel cortex 95%
- Place cell map genesis via competitive learning and conjunctive coding in the dentate gyrus 94%
Similar papers in this journal
- Graded spikes differentially signal neurotransmitter input in cerebrospinal fluid contacting neurons of the mouse spinal cord 96%
- Long-term potentiation at pyramidal cell to somatostatin interneuron synapses controls hippocampal network plasticity and memory 94%
- Dynamic Lateralization in Contralateral-Projecting Corticospinal Neurons During Motor Learning 94%
"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.