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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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Related in: MedlinePlus

Frequency distribution of expression log ratios after EA stimulation relative to control.Histogram of differentially expressed genes (RankProd analysis, p value < 0.01 and false discovery rate ≤ 0.01) induced by EA stimulation at (a) 1-hr time point (n = 2756 genes) and (b) 24-hr time point (n = 2828 genes). The change in expression level for the most differentially expressed genes at both time points were at log ratios of −0.6 to 0.6 (fold change ≤ 1.5).
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f3: Frequency distribution of expression log ratios after EA stimulation relative to control.Histogram of differentially expressed genes (RankProd analysis, p value < 0.01 and false discovery rate ≤ 0.01) induced by EA stimulation at (a) 1-hr time point (n = 2756 genes) and (b) 24-hr time point (n = 2828 genes). The change in expression level for the most differentially expressed genes at both time points were at log ratios of −0.6 to 0.6 (fold change ≤ 1.5).

Mentions: The first part of the analysis focused on time-dependent regulation of gene expression in both PAG-DH regions by EA stimulation. The gene expression profiles in the PAG-DH of rats at the 1-hr and 24-hr time points after the end of EA stimulation were compared with the corresponding data of restrained controls, and differentially expressed genes (DEGs) with p value < 0.01 and false discovery rate ≤ 0.01 were further analyzed. There were 2756 regulated genes at the 1-hr time point and 2828 regulated genes at the 24-hr time point. The changes in expression level for most DEGs at both time points were at log ratios of −0.6 to 0.6, suggesting that most transcriptional changes induced by EAs were subtle (fold change ≤ 1.5) (Fig. 3). In these DEGs, only 1191 were co-regulated at both time points, and 288 genes had oppositely regulated directions.


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)

Frequency distribution of expression log ratios after EA stimulation relative to control.Histogram of differentially expressed genes (RankProd analysis, p value < 0.01 and false discovery rate ≤ 0.01) induced by EA stimulation at (a) 1-hr time point (n = 2756 genes) and (b) 24-hr time point (n = 2828 genes). The change in expression level for the most differentially expressed genes at both time points were at log ratios of −0.6 to 0.6 (fold change ≤ 1.5).
© Copyright Policy - open-access
Related In: Results  -  Collection

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

f3: Frequency distribution of expression log ratios after EA stimulation relative to control.Histogram of differentially expressed genes (RankProd analysis, p value < 0.01 and false discovery rate ≤ 0.01) induced by EA stimulation at (a) 1-hr time point (n = 2756 genes) and (b) 24-hr time point (n = 2828 genes). The change in expression level for the most differentially expressed genes at both time points were at log ratios of −0.6 to 0.6 (fold change ≤ 1.5).
Mentions: The first part of the analysis focused on time-dependent regulation of gene expression in both PAG-DH regions by EA stimulation. The gene expression profiles in the PAG-DH of rats at the 1-hr and 24-hr time points after the end of EA stimulation were compared with the corresponding data of restrained controls, and differentially expressed genes (DEGs) with p value < 0.01 and false discovery rate ≤ 0.01 were further analyzed. There were 2756 regulated genes at the 1-hr time point and 2828 regulated genes at the 24-hr time point. The changes in expression level for most DEGs at both time points were at log ratios of −0.6 to 0.6, suggesting that most transcriptional changes induced by EAs were subtle (fold change ≤ 1.5) (Fig. 3). In these DEGs, only 1191 were co-regulated at both time points, and 288 genes had oppositely regulated directions.

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