Electroacupuncture (EA) has been widely applied for illness prevention, treatment or rehabilitation in the clinic, especially for pain management. However, the molecular events that induce these changes remain largely uncharacterized. The periaqueductal gray (PAG) and the spinal dorsal horn (DH) have been verified as two critical regions in the response to EA stimulation in EA analgesia. In this study, a genetic screen was conducted to delineate the gene expression profile in the PAG-DH regions of rats to explore the molecular events of the analgesic effect induced by low-frequency (2-Hz) and high-frequency (100-Hz) EAs. Microarray analysis at two different time points after EA stimulation revealed time-, region- and frequency-specific gene expression changes. These expression differences suggested that modulation of neural-immune interaction in the central nervous system played an important role during EA analgesia. Furthermore, low-frequency EA could regulate gene expression to a greater degree than high-frequency EA. Altogether, the present study offers, for the first time, a characterized transcriptional response pattern in the PAG-DH regions followed by EA stimulation and, thus, provides a solid experimental framework for future in-depth analysis of the mechanisms underlying EA-induced effects.
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http://dx.doi.org/10.1038/srep06713 | DOI Listing |
Sci Rep
December 2024
Department of Biotechnology, Faculty of Agro-industry, Kasetsart University, Bangkok, 10900, Thailand.
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December 2024
Center for Drug Discovery, Graduate School of Pharmaceutical Sciences, University of Shizuoka, Suruga-ku, Shizuoka, 422-8526, Shizuoka, Japan.
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December 2024
Division of Joint Surgery and Sports Medicine, Department of Orthopedic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Lines of evidence have indicated that type 2 diabetes mellitus (T2DM) is an independent risk factor for osteoarthritis (OA) progression. However, the study focused on the relationship between T2DM and OA at the transcriptional level remains empty. We downloaded OA- and T2DM-related bulk RNA-sequencing and single-cell RNA sequencing data from the Gene Expression Omnibus (GEO) dataset.
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December 2024
Department of Zoology, University of São Paulo, São Paulo, SP, Brazil.
Animals have evolved numerous mechanisms to perceive and interact with the environment that can be translated into different sensory modalities. However, the genomic and phenotypic features that support sensory functions remain enigmatic for many invertebrates, such as bivalves, an ecologically and economically important taxonomic group. No repertoire of sensory genes has been characterized in bivalves, representing a significant knowledge gap in molluscan sensory biology.
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