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Objective To explore the relationship between SNPs in microRNA binding sites of ABCG5/8 and the glucolipid level during pregnancy.Methods 1 925 pregnant women were recruited at Peking Union Medical College hospital from 2006 to 2011.The clinical data were collected and the total genomic DNA was extracted from whole blood samples.ABCG5/8, which was reported to be related with the glucose and lipid metabolism closely, were selected as the candidate gene and the SNPs in its microRNA binding sites with minor allele frequency >5% in Han Chinese in Beijing were chosen.Then the genotyping was performed and analyzed.Results There was only one SNP matching the criteria, rs2278356, and it is significantly associated with LDL-C and TC level during pregnancy (LDL-C: b=0.104 mmol/L, 95% CI 0.023-0.185 mmol/L, P<0.05;TC: b=0.105 mmol/L, 95% CI 0.080-0.203 mmol/L, P<0.05).Conclusions The association of rs2278356 in 3′UTR of ABCG5/8 with LDL-C and TC level in pregnant Chinese Han women is found, which may provide an individualized treatment strategy for pregnant women with high cholesterol.
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MicroRNAs(miRNAs) act by binding to complementary sites on target messenger RNA(mRNA) to induce mRNA degradation and/or translational repression.To investigate the influence of miRNAs at transcript levels,two human miRNAs(miR-1 and miR-124) were transfected into HeLa cells and microarrays used to examine changes in the mRNA profile showed that many genes were downregulated and that the fold decreases in levels of these target mRNAs differed remarkably.Features depicting interactions between miRNAs and their respective target mRNAs,such as the number of putative binding sites,the strength of complementary matches and the degree of stabilization of the binding duplex,were extracted and analyzed.It was found that,for a given target mRNA,both the quality and quantity of miRNA binding sites significantly affected its degree of destabilization.To delineate these types of interactions,a simple statistical model was proposed,which considers the combined effects of both the quality and quantity of miRNA binding sites on the degradation levels of target mRNAs.The analysis provides insights into how any animal miRNA might interact with its target mRNA.It will help us in designing more accurate methods for predicting miRNA targets and should improve understanding of the origins of miRNAs.