A type-5 metabotropic glutamate receptor-perineuronal net axis shapes the function of cortical GABAergic interneurons in chronic pain.

Giada Mascio, Ferdinando Nicoletti, Giuseppe Battaglia, Serena Notartomaso
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Abstract

Parvalbumin-positive (PV+) interneurons (basket and chandelier cells) regulate the firing rate of pyramidal neurons in the cerebral cortex and play a key role in the generation of network oscillations in the cerebral cortex. A growing body of evidence suggest that cortical PV+ interneurons become overactive in chronic pain and contribute to nociceptive sensitization by inhibiting a top-down analgesic pathway. Here, we provide further support to this hypothesis showing that intracortical infusion of the GABAA receptor antagonist, bicuculline, caused analgesia in a mouse model of chronic inflammatory pain, although it reduced pain thresholds in healthy mice. We propose that mGlu5 metabotropic glutamate receptors and perineuronal nets (PNNs) shape the activity of PV+ interneurons in chronic pain, generating a form of maladaptive plasticity that enhances behavioural pain responses. mGlu5 receptors might be locally targeted by drugs activated by light delivered in cortical regions of the pain matrix, whereas the density of PNNs enwrapping PV+ interneurons might be reduced by local activation of PNN-degrading enzyme, such as type-9 matrix metalloproteinase. These strategies, which may require invasive treatments, might be beneficial in the management of severe pain which is refractory to conventional pharmacological and non-pharmacological interventions.

5型代谢性谷氨酸受体-神经元周围网轴影响慢性疼痛中皮质gaba能中间神经元的功能。
Parvalbumin-positive (PV+)中间神经元(篮状细胞和吊灯状细胞)调节大脑皮层锥体神经元的放电速率,在大脑皮层网络振荡的产生中起关键作用。越来越多的证据表明,皮质PV+中间神经元在慢性疼痛中变得过度活跃,并通过抑制自上而下的镇痛通路来促进伤害性致敏。在这里,我们为这一假设提供了进一步的支持,表明皮质内输注GABAA受体拮抗剂bicuculline在小鼠慢性炎症性疼痛模型中引起镇痛,尽管它降低了健康小鼠的疼痛阈值。我们提出mGlu5代谢性谷氨酸受体和周围神经元网(PNNs)在慢性疼痛中塑造PV+中间神经元的活动,产生一种增强行为疼痛反应的适应性不良可塑性。mGlu5受体可能会在疼痛基质皮质区域被光激活的药物局部靶向,而pnn降解酶(如9型基质金属蛋白酶)的局部激活可能会降低包裹PV+中间神经元的pnn密度。这些策略,可能需要侵入性治疗,可能有利于严重疼痛的管理,这是难治性的常规药物和非药物干预。
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CiteScore
1.40
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