Expression profile of mitrogen-activated protein kinase (MAPK) signaling genes in the skeletal muscle & liver of rat with type 2 diabetes: Role in disease pathology

Xiaoli Tang, Libin Deng, Huangui Xiong, Guilin Li, Jiari Lin, Shuangmei Liu, Jinyan Xie, Jun Liu, Fanjun Kong, Guihua Tu, Haiying Peng, Shangdong Liang

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Background & objectives: Type 2 diabetes (T2D) is characterized as hyperglycaemia caused by defects in insulin secretion, and it affects target tissues, such as skeletal muscle, liver and adipose tissue. Therefore, analyzing the changes of gene expression profiles in these tissues is important to elucidate the pathogenesis of T2D. We, therefore, measured the gene transcript alterations in liver and skeletal muscle of rat with induced T2D, to detect differentially expressed genes in liver and skeletal muscle and perform gene-annotation enrichment analysis. Methods: In the present study, skeletal muscle and liver tissue from 10 streptozotocin-induced diabetic rats and 10 control rats were analyzed using gene expression microarrays. KEGG pathways enriched by differentially expressed genes (DEGs) were identified by WebGestalt Expander and GATHER software. DEGs were validated by the method of real-time PCR and western blot. Results: From the 9,929 expressed genes across the genome, 1,305 and 997 differentially expressed genes (DEGs, P<0.01) were identified in comparisons of skeletal muscle and liver, respectively. large numbers of DEGs (200) were common in both comparisons, which was clearly more than the predicted number (131 genes, P<0.001). For further interpretation of the gene expression data, three over-representation analysis softwares (WebGestalt, Expander and GATHER) were used. All the tools detected one KEGG pathway (MAPK signaling) and two GO (gene ontology) biological processes (response to stress and cell death), with enrichment of DEGs in both tissues. In addition, PPI (protein-protein interaction) networks constructed using human homologues not only revealed the tendency of DEGs to form a highly connected module, but also suggested a “hub” role of p38-MAPK-related genes (such as MAPK14) in the pathogenesis of T2D. Interpretation & conclusions: Our results indicated the considerably aberrant MAPK signaling in both insulin-sensitive tissues of T2D rat, and that the p38 may play a role as a common “hub” in the gene module response to hyperglycaemia. Furthermore, our research pinpoints the role of several new T2D-associated genes (such as Srebf1 and Ppargc1) in the human population.

Original languageEnglish (US)
Pages (from-to)744-755
Number of pages12
JournalIndian Journal of Medical Research
Volume140
Issue numberDEC
StatePublished - Jan 1 2014

Fingerprint

Pathology
Medical problems
Liver
Protein Kinases
Type 2 Diabetes Mellitus
Muscle
Rats
Skeletal Muscle
Genes
Tissue
Gene expression
Hyperglycemia
Mitogen-Activated Protein Kinase 14
Software
Insulin
Protein Interaction Maps
Molecular Sequence Annotation
Biological Phenomena
Gene Expression
Muscles

Keywords

  • Differentially expressed gene
  • MAPK signaling pathway
  • Type 2 diabetes

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Expression profile of mitrogen-activated protein kinase (MAPK) signaling genes in the skeletal muscle & liver of rat with type 2 diabetes : Role in disease pathology. / Tang, Xiaoli; Deng, Libin; Xiong, Huangui; Li, Guilin; Lin, Jiari; Liu, Shuangmei; Xie, Jinyan; Liu, Jun; Kong, Fanjun; Tu, Guihua; Peng, Haiying; Liang, Shangdong.

In: Indian Journal of Medical Research, Vol. 140, No. DEC, 01.01.2014, p. 744-755.

Research output: Contribution to journalArticle

Tang, Xiaoli ; Deng, Libin ; Xiong, Huangui ; Li, Guilin ; Lin, Jiari ; Liu, Shuangmei ; Xie, Jinyan ; Liu, Jun ; Kong, Fanjun ; Tu, Guihua ; Peng, Haiying ; Liang, Shangdong. / Expression profile of mitrogen-activated protein kinase (MAPK) signaling genes in the skeletal muscle & liver of rat with type 2 diabetes : Role in disease pathology. In: Indian Journal of Medical Research. 2014 ; Vol. 140, No. DEC. pp. 744-755.
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AU - Deng, Libin

AU - Xiong, Huangui

AU - Li, Guilin

AU - Lin, Jiari

AU - Liu, Shuangmei

AU - Xie, Jinyan

AU - Liu, Jun

AU - Kong, Fanjun

AU - Tu, Guihua

AU - Peng, Haiying

AU - Liang, Shangdong

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