Abstract
The nuclear receptor peroxisome proliferator-activated receptor γ (PPAR-γ) is a key transcriptional regulator of adipocyte differentiation. It also modulates the synthesis of adipocytokines in the adipose tissue. Its polymorphisms are associated with the risk of type II diabetes, obesity, cardiovascular diseases and cancer. In the present study, to investigate the regulatory mechanism of PPAR-γ gene on lipid metabolism, the computational prediction of peroxisome proliferator response elements (PPREs) was pursued with a genome-wide scale by using MEME/MAST method based on the information of TRANSFAC database, then GO and KEGG analyses were carried out. The results showed that a huge number of predicted target genes of PPAR-γ were significantly enriched in 36 GO terms (P<0.05) and 10 KEGG pathways (P<0.05) which were related closely to the lipid metabolism. The results should be a valuable resource for elucidation of the regulatory mechanism of PPAR-γ influence on lipid metabolism, also of the major importance to the diagnosis, prevention and treatment of the complex diseases such as obesity and diabete.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
