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A novel gene network analysis in liver tissues of diabetic rats in response to resistant starch treatment.

Wang Z, Zhang Y, Shi R, Zhou Z, Wang F, Strappe P - Springerplus (2015)

Bottom Line: Cluster analysis results showed that the up/down-regulated genes were highly responsive to RS treatment, and were considered to be directly or indirectly associated with reducing plasma glucose and body fat.Forkhead class A signaling pathway, with a degree of 8, was analyzed and was found to have an effect mainly on glucose and lipid metabolism processes.The potential application of this novel gene network is also discussed.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of Food Nutrition and Safety, Ministry of Education, Tianjin University of Science and Technology, Tianjin, 300457 China ; School of Food Engineering and Biotechnology, Tianjin University of Science and Technology, Tianjin, 300457 China.

ABSTRACT
In this study, we investigated the genome-wide gene expression profiles in the liver tissue of diabetic rats before and after RS treatment. The microarray-based analysis revealed that a total of 173 genes were up-regulated and 197 genes were down-regulated in response to RS treatment. These genes were mainly related to glucose metabolism (e.g., hexokinase, pyruvate kinase and phosphotransferase etc.), and lipid metabolism (e.g., carnitine palmitoyl transfer 1, fatty acid transporter, beta hydroxyl butyric dehydrogenase etc.). Cluster analysis results showed that the up/down-regulated genes were highly responsive to RS treatment, and were considered to be directly or indirectly associated with reducing plasma glucose and body fat. To interpret the mechanism of RS regulation at the molecular level, a novel gene network was constructed based on 370 up/down-regulated genes coupled with 718 known diabetes-related genes. The topology of the network showed the characteristics of small-world and scale-free network, with some pathways demonstrating a high degree. Forkhead class A signaling pathway, with a degree of 8, was analyzed and was found to have an effect mainly on glucose and lipid metabolism processes. The results indicate that RS can suppress the development of type 2 diabetes in the STZ rat model through modulating the expression of multiple genes involved in glucose and lipid metabolism. The potential application of this novel gene network is also discussed.

No MeSH data available.


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Ratio of the expression of the glycol-metabolism-related genes before and after RS treatment.
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Fig3: Ratio of the expression of the glycol-metabolism-related genes before and after RS treatment.

Mentions: From these results a close relationship between the forkhead class A signaling pathway and glucose and lipid metabolism could be observed (Figure 2). 13 genes related to glucose metabolism in the LGN were sequenced by the order they appeared in the metabolism process (Table 3), and two genes were differently expressed in response to RS treatment. The ratios of the expression of the glucose metabolism-related genes after and before RS treatment were shown in Figure 3. The majority of the glucose metabolism-related genes were shown to be up-regulated with RS treatment (Ratio > 1), indicating that the glucose metabolism process becomes more active with the addition of RS, which may result in a decrease in blood glucose levels. Conversely, down-regulated genes did not express key enzymes included in glucose metabolism. More specifically, the genes related to glycolysis were up-regulated in varying degrees (Hk2, Pklr, Gapdh, etc.). The genes which were down-regulated, such as Gck, were not involved in glycolytic process.Table 3


A novel gene network analysis in liver tissues of diabetic rats in response to resistant starch treatment.

Wang Z, Zhang Y, Shi R, Zhou Z, Wang F, Strappe P - Springerplus (2015)

Ratio of the expression of the glycol-metabolism-related genes before and after RS treatment.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4356702&req=5

Fig3: Ratio of the expression of the glycol-metabolism-related genes before and after RS treatment.
Mentions: From these results a close relationship between the forkhead class A signaling pathway and glucose and lipid metabolism could be observed (Figure 2). 13 genes related to glucose metabolism in the LGN were sequenced by the order they appeared in the metabolism process (Table 3), and two genes were differently expressed in response to RS treatment. The ratios of the expression of the glucose metabolism-related genes after and before RS treatment were shown in Figure 3. The majority of the glucose metabolism-related genes were shown to be up-regulated with RS treatment (Ratio > 1), indicating that the glucose metabolism process becomes more active with the addition of RS, which may result in a decrease in blood glucose levels. Conversely, down-regulated genes did not express key enzymes included in glucose metabolism. More specifically, the genes related to glycolysis were up-regulated in varying degrees (Hk2, Pklr, Gapdh, etc.). The genes which were down-regulated, such as Gck, were not involved in glycolytic process.Table 3

Bottom Line: Cluster analysis results showed that the up/down-regulated genes were highly responsive to RS treatment, and were considered to be directly or indirectly associated with reducing plasma glucose and body fat.Forkhead class A signaling pathway, with a degree of 8, was analyzed and was found to have an effect mainly on glucose and lipid metabolism processes.The potential application of this novel gene network is also discussed.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of Food Nutrition and Safety, Ministry of Education, Tianjin University of Science and Technology, Tianjin, 300457 China ; School of Food Engineering and Biotechnology, Tianjin University of Science and Technology, Tianjin, 300457 China.

ABSTRACT
In this study, we investigated the genome-wide gene expression profiles in the liver tissue of diabetic rats before and after RS treatment. The microarray-based analysis revealed that a total of 173 genes were up-regulated and 197 genes were down-regulated in response to RS treatment. These genes were mainly related to glucose metabolism (e.g., hexokinase, pyruvate kinase and phosphotransferase etc.), and lipid metabolism (e.g., carnitine palmitoyl transfer 1, fatty acid transporter, beta hydroxyl butyric dehydrogenase etc.). Cluster analysis results showed that the up/down-regulated genes were highly responsive to RS treatment, and were considered to be directly or indirectly associated with reducing plasma glucose and body fat. To interpret the mechanism of RS regulation at the molecular level, a novel gene network was constructed based on 370 up/down-regulated genes coupled with 718 known diabetes-related genes. The topology of the network showed the characteristics of small-world and scale-free network, with some pathways demonstrating a high degree. Forkhead class A signaling pathway, with a degree of 8, was analyzed and was found to have an effect mainly on glucose and lipid metabolism processes. The results indicate that RS can suppress the development of type 2 diabetes in the STZ rat model through modulating the expression of multiple genes involved in glucose and lipid metabolism. The potential application of this novel gene network is also discussed.

No MeSH data available.


Related in: MedlinePlus