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A Study on Effect of Electroacupuncture on Gene Expression in Hypothalamus of Rats with Stress-Induced Prehypertension Based on Gene Chip Technology.

Xie X, Guo Y, Liu Q, Wang Z, Guo C - Evid Based Complement Alternat Med (2015)

Bottom Line: Results.The PCR results of the key genes including HSPB1, P2RX4, PPP1R14A, and TH are consistent with that of gene chip test.Conclusion.

View Article: PubMed Central - PubMed

Affiliation: School of Acupuncture, Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing 100029, China.

ABSTRACT
Objective. To explore the effect of electroacupuncture (EA) on gene expression in the hypothalamus of rats with stress-induced prehypertension and try to reveal its biological mechanism with gene chip technology. Methods. The stress-induced hypertensive rat model was prepared by combining electric foot-shocks with generated noise. Molding cycle lasted for 14 days and EA intervention was applied on model + EA group during model preparation. Rat Gene 2.0 Array technology was used for the determination of gene expression profiles and the screened key genes were verified by real-time fluorescence quantitative PCR method. Results. Compared with the blank group, 234 genes were upregulated and 73 were downregulated in the model group. Compared with the model group, 110 genes were upregulated and 273 genes were downregulated in model + EA group. The PCR results of the key genes including HSPB1, P2RX4, PPP1R14A, and TH are consistent with that of gene chip test. Conclusion. EA could significantly lower blood pressure of stress-induced prehypertension rats and affect its gene expression profile in hypothalamus. Genes and their signal transduction pathway that related to the contraction of vascular smooth muscle, concentration of Ca(2+), and excitability of sympathetic nerve may be involved in EA's antihypertensive mechanism.

No MeSH data available.


Related in: MedlinePlus

Selected transcripts clustered and validated with real-time PCR. After pathway analysis, we selected genes involved in major pathways (the common pathways in Tables 3 and 4). First, selected genes were clustered using Cluster 3.0 according to the LOG value ((a)–(c)). Red is relatively upregulated and green is relatively downregulated in different samples. The three “Cs” are the three blank control samples. The three “Ms” are the model control samples. The three “Es” are the EA + model samples. Then, to verify the reliability of the microarray analysis, we verified these selected genes from the clustering diagram using quantitative real-time RT-PCR. Gene expressions in blank control group, model control group, and EA + model group were presented in ((d)–(g)). These transcripts analyzed here showed coherent profiles with cluster ((a)–(c)). Note: ★★P < 0.01, versus blank control group; ☆P < 0.05 and ☆☆P < 0.01, versus model control group.
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fig3: Selected transcripts clustered and validated with real-time PCR. After pathway analysis, we selected genes involved in major pathways (the common pathways in Tables 3 and 4). First, selected genes were clustered using Cluster 3.0 according to the LOG value ((a)–(c)). Red is relatively upregulated and green is relatively downregulated in different samples. The three “Cs” are the three blank control samples. The three “Ms” are the model control samples. The three “Es” are the EA + model samples. Then, to verify the reliability of the microarray analysis, we verified these selected genes from the clustering diagram using quantitative real-time RT-PCR. Gene expressions in blank control group, model control group, and EA + model group were presented in ((d)–(g)). These transcripts analyzed here showed coherent profiles with cluster ((a)–(c)). Note: ★★P < 0.01, versus blank control group; ☆P < 0.05 and ☆☆P < 0.01, versus model control group.

Mentions: To validate the microarray results, we selected several transcripts to cluster (Figure 3(a)) and validated the clustering result using quantitative real-time PCR (Figure 3(b)). These genes were selected based on fold change differences, previous association with blood pressure regulation, and/or involvement in processes or pathways that may influence blood pressure. The expression of P2RX4 (P < 0.01), Ppp1r14a (P < 0.01), HSPB1 (P < 0.01), and TH (P < 0.01) was significantly higher in model control group compared to blank control group. P2RX4 (P = 0.018), Ppp1r14a (P = 0.04), HSPB1 (P < 0.01), and TH (P < 0.01) expression were significantly lower in model + EA group when compared to model control group. To some extent, the identified results confirmed the reliability of the array analysis.


A Study on Effect of Electroacupuncture on Gene Expression in Hypothalamus of Rats with Stress-Induced Prehypertension Based on Gene Chip Technology.

Xie X, Guo Y, Liu Q, Wang Z, Guo C - Evid Based Complement Alternat Med (2015)

Selected transcripts clustered and validated with real-time PCR. After pathway analysis, we selected genes involved in major pathways (the common pathways in Tables 3 and 4). First, selected genes were clustered using Cluster 3.0 according to the LOG value ((a)–(c)). Red is relatively upregulated and green is relatively downregulated in different samples. The three “Cs” are the three blank control samples. The three “Ms” are the model control samples. The three “Es” are the EA + model samples. Then, to verify the reliability of the microarray analysis, we verified these selected genes from the clustering diagram using quantitative real-time RT-PCR. Gene expressions in blank control group, model control group, and EA + model group were presented in ((d)–(g)). These transcripts analyzed here showed coherent profiles with cluster ((a)–(c)). Note: ★★P < 0.01, versus blank control group; ☆P < 0.05 and ☆☆P < 0.01, versus model control group.
© Copyright Policy - open-access
Related In: Results  -  Collection

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getmorefigures.php?uid=PMC4502326&req=5

fig3: Selected transcripts clustered and validated with real-time PCR. After pathway analysis, we selected genes involved in major pathways (the common pathways in Tables 3 and 4). First, selected genes were clustered using Cluster 3.0 according to the LOG value ((a)–(c)). Red is relatively upregulated and green is relatively downregulated in different samples. The three “Cs” are the three blank control samples. The three “Ms” are the model control samples. The three “Es” are the EA + model samples. Then, to verify the reliability of the microarray analysis, we verified these selected genes from the clustering diagram using quantitative real-time RT-PCR. Gene expressions in blank control group, model control group, and EA + model group were presented in ((d)–(g)). These transcripts analyzed here showed coherent profiles with cluster ((a)–(c)). Note: ★★P < 0.01, versus blank control group; ☆P < 0.05 and ☆☆P < 0.01, versus model control group.
Mentions: To validate the microarray results, we selected several transcripts to cluster (Figure 3(a)) and validated the clustering result using quantitative real-time PCR (Figure 3(b)). These genes were selected based on fold change differences, previous association with blood pressure regulation, and/or involvement in processes or pathways that may influence blood pressure. The expression of P2RX4 (P < 0.01), Ppp1r14a (P < 0.01), HSPB1 (P < 0.01), and TH (P < 0.01) was significantly higher in model control group compared to blank control group. P2RX4 (P = 0.018), Ppp1r14a (P = 0.04), HSPB1 (P < 0.01), and TH (P < 0.01) expression were significantly lower in model + EA group when compared to model control group. To some extent, the identified results confirmed the reliability of the array analysis.

Bottom Line: Results.The PCR results of the key genes including HSPB1, P2RX4, PPP1R14A, and TH are consistent with that of gene chip test.Conclusion.

View Article: PubMed Central - PubMed

Affiliation: School of Acupuncture, Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing 100029, China.

ABSTRACT
Objective. To explore the effect of electroacupuncture (EA) on gene expression in the hypothalamus of rats with stress-induced prehypertension and try to reveal its biological mechanism with gene chip technology. Methods. The stress-induced hypertensive rat model was prepared by combining electric foot-shocks with generated noise. Molding cycle lasted for 14 days and EA intervention was applied on model + EA group during model preparation. Rat Gene 2.0 Array technology was used for the determination of gene expression profiles and the screened key genes were verified by real-time fluorescence quantitative PCR method. Results. Compared with the blank group, 234 genes were upregulated and 73 were downregulated in the model group. Compared with the model group, 110 genes were upregulated and 273 genes were downregulated in model + EA group. The PCR results of the key genes including HSPB1, P2RX4, PPP1R14A, and TH are consistent with that of gene chip test. Conclusion. EA could significantly lower blood pressure of stress-induced prehypertension rats and affect its gene expression profile in hypothalamus. Genes and their signal transduction pathway that related to the contraction of vascular smooth muscle, concentration of Ca(2+), and excitability of sympathetic nerve may be involved in EA's antihypertensive mechanism.

No MeSH data available.


Related in: MedlinePlus