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Genomewide analysis of rat periaqueductal gray-dorsal horn reveals time-, region- and frequency-specific mRNA expression changes in response to electroacupuncture stimulation.

Wang K, Xiang XH, Qiao N, Qi JY, Lin LB, Zhang R, Shou XJ, Ping XJ, Han JS, Han JD, Zhao GP, Cui CL - Sci Rep (2014)

Bottom Line: Microarray analysis at two different time points after EA stimulation revealed time-, region- and frequency-specific gene expression changes.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.

View Article: PubMed Central - PubMed

Affiliation: 1] Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China [2] Laboratory of Integrative Medicine Surgery, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.

ABSTRACT
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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Global gene expression in the PAG-DH regions with either 2 Hz or 100 Hz EA at the 1-hr and 24-hr time points was shown by (a) hierarchical clustering and (b) principal component analysis (PCA).
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f2: Global gene expression in the PAG-DH regions with either 2 Hz or 100 Hz EA at the 1-hr and 24-hr time points was shown by (a) hierarchical clustering and (b) principal component analysis (PCA).

Mentions: Gene expression profiles were investigated across two CNS regions (PAG and DH) at two time points after the end of EA stimulation. The global transcriptomic profiling with all the detected genes stimulated by either 2 Hz or 100 Hz EA at the 1-hr and 24-hr time points after the end of EA stimulation was clustered using a hierarchical clustering strategy. As shown in Fig. 2a, all samples with the largest gene variances in the one-to-one gene set were clustered perfectly, first by time factor, then by tissue region, and finally by frequency of EA. This expression pattern suggested that changes by EA stimulation were most strongly time-dependent, then region-specific, and finally frequency-dependent. The results obtained by hierarchical clustering were also obtained independently with principal component analysis (PCA) (Fig. 2b). These findings indicated that multiple factors underlie EA effects. Therefore, we explored the time, region, and frequency factors of EA effects in our subsequent analysis.


Genomewide analysis of rat periaqueductal gray-dorsal horn reveals time-, region- and frequency-specific mRNA expression changes in response to electroacupuncture stimulation.

Wang K, Xiang XH, Qiao N, Qi JY, Lin LB, Zhang R, Shou XJ, Ping XJ, Han JS, Han JD, Zhao GP, Cui CL - Sci Rep (2014)

Global gene expression in the PAG-DH regions with either 2 Hz or 100 Hz EA at the 1-hr and 24-hr time points was shown by (a) hierarchical clustering and (b) principal component analysis (PCA).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4209446&req=5

f2: Global gene expression in the PAG-DH regions with either 2 Hz or 100 Hz EA at the 1-hr and 24-hr time points was shown by (a) hierarchical clustering and (b) principal component analysis (PCA).
Mentions: Gene expression profiles were investigated across two CNS regions (PAG and DH) at two time points after the end of EA stimulation. The global transcriptomic profiling with all the detected genes stimulated by either 2 Hz or 100 Hz EA at the 1-hr and 24-hr time points after the end of EA stimulation was clustered using a hierarchical clustering strategy. As shown in Fig. 2a, all samples with the largest gene variances in the one-to-one gene set were clustered perfectly, first by time factor, then by tissue region, and finally by frequency of EA. This expression pattern suggested that changes by EA stimulation were most strongly time-dependent, then region-specific, and finally frequency-dependent. The results obtained by hierarchical clustering were also obtained independently with principal component analysis (PCA) (Fig. 2b). These findings indicated that multiple factors underlie EA effects. Therefore, we explored the time, region, and frequency factors of EA effects in our subsequent analysis.

Bottom Line: Microarray analysis at two different time points after EA stimulation revealed time-, region- and frequency-specific gene expression changes.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.

View Article: PubMed Central - PubMed

Affiliation: 1] Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai 201203, China [2] Laboratory of Integrative Medicine Surgery, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.

ABSTRACT
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.

Show MeSH
Related in: MedlinePlus