Electroacupuncture inhibited carrageenan-induced pain aversion by activating GABAergic neurons in the ACC.

IF 3.3 3区 医学 Q2 NEUROSCIENCES Molecular Brain Pub Date : 2024-09-27 DOI:10.1186/s13041-024-01144-z
Yichen Zhu, Haiju Sun, Siqi Xiao, Zui Shen, Xixiao Zhu, Yifang Wang, Xiaofen He, Boyi Liu, Yongliang Jiang, Yi Liang, Janqiao Fang, Xiaomei Shao
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Abstract

Pain aversion is an avoidance response to painful stimuli. Previous research has indicated that the anterior cingulate cortex (ACC) is involved in pain aversion processing. However, as interneurons, the role of GABAergic neurons in the ACC (GABAACC neurons) in pain aversion is still unclear. Electroacupuncture (EA) has been shown to ameliorate pain aversion, but the mechanism is not clarified. The present study provided evidence that inhibition of GABAACC neurons contributed to pain aversion. EA alleviated pain aversion by activating GABAACC neurons in an intensity-dependent manner. Specifically, 0.3 mA EA stimulation showed better effects on pain aversion than 0.1 mA stimulation, which could be reversed by chemical genetic inhibition of GABAACC neurons. These results provide a novel mechanism by which EA alleviates pain aversion by reversing GABAACC neurons.

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电针通过激活ACC中的GABA能神经元抑制卡拉胶诱导的疼痛厌恶。
疼痛厌恶是一种对疼痛刺激的回避反应。以往的研究表明,前扣带回皮层(ACC)参与了疼痛厌恶的处理过程。然而,作为中间神经元,ACC 中的 GABA 能神经元(GABAACC 神经元)在疼痛厌恶中的作用仍不清楚。电针(EA)已被证明能改善疼痛厌恶,但其机制尚未明确。本研究提供了抑制 GABAACC 神经元导致疼痛厌恶的证据。EA通过激活GABAACC神经元以强度依赖的方式缓解疼痛厌恶。具体来说,0.3毫安的EA刺激比0.1毫安的刺激对疼痛厌恶有更好的效果,而这种效果可以通过对GABAACC神经元的化学遗传抑制逆转。这些结果提供了一种新的机制,即EA通过逆转GABAACC神经元来减轻疼痛厌恶感。
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来源期刊
Molecular Brain
Molecular Brain NEUROSCIENCES-
CiteScore
7.30
自引率
0.00%
发文量
97
审稿时长
>12 weeks
期刊介绍: Molecular Brain is an open access, peer-reviewed journal that considers manuscripts on all aspects of studies on the nervous system at the molecular, cellular, and systems level providing a forum for scientists to communicate their findings. Molecular brain research is a rapidly expanding research field in which integrative approaches at the genetic, molecular, cellular and synaptic levels yield key information about the physiological and pathological brain. These studies involve the use of a wide range of modern techniques in molecular biology, genomics, proteomics, imaging and electrophysiology.
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