1. Exploring the Mechanisms of Electroacupuncture-Induced Analgesia through RNA Sequencing of the Periaqueductal Gray.
- Author
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Hu ML, Zhu HM, Zhang QL, Liu JJ, Ding Y, Zhong JM, Vodyanoy V, and Ding MX
- Subjects
- Animals, Gene Expression Profiling, Gene Ontology, Genome, Goats, Nociception, Real-Time Polymerase Chain Reaction, Reproducibility of Results, Analgesia, Electroacupuncture, Periaqueductal Gray metabolism, Sequence Analysis, RNA
- Abstract
Electroacupuncture (EA) can relieve various pains. However, its mechanism in terms of the transcriptome is still not well-known. To explore the full profile of EA-induced molecular modification in the central nerve system, three twins of goats were selected for a match-paired experiment: EA stimulation (60 Hz, 30 min) and none-EA (control). Goats in the EA group showed an increased ( p < 0.05) nociceptive threshold compared with the control goats. Experimental goats were sacrificed at 4 h of the experiment, and the periaqueductal grays were harvested for RNA sequencing. As a result, 2651 differentially expressed genes (1803 up-regulated and 848 down-regulated genes) were found and enriched in 30 Kyoto Encyclopedia of Genes and Genomes pathways and 149 gene ontology terms. EA-regulated five neuropeptide genes ( proenkephalin , proopiomelanocortin , preprodynorphin , diazepam-binding inhibitor and proprotein convertase 1 inhibitor ) were validated with quantitative PCR. Furthermore, up-regulated glutamate receptors, glutamate transporters, γ-aminobutyric acid ( GABA ) receptors, GABA transporters, synaptotagmins or mitogen-activated protein kinase ( MAPK ) genes might contribute to EA-induced analgesia through regulating the glutamatergic synapse, GABAergic synapse, MAPKs, ribosome or ubiquitin-proteasome pathways. Our findings reveal a full profile of molecular modification in response to EA and provide a solid experimental framework for exploring the mechanisms underlying EA-induced analgesia., Competing Interests: The authors declare no conflict of interest.
- Published
- 2017
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