Associations of the uric acid related genetic variants in SLC2A9 and ABCG2 loci with coronary heart disease risk

Background

Multiple studies investigated the associations between serum uric acid and coronary heart disease (CHD) risk. However, further investigations still remain to be carried out to determine whether there exists a causal relationship between them. We aim to explore the associations between genetic variants in uric acid related loci of SLC2A9 and ABCG2 and CHD risk in a Chinese population.

Results

A case–control study including 1,146 CHD cases and 1,146 controls was conducted. Association analysis between two uric acid related variants (SNP rs11722228 in SLC2A9 and rs4148152 in ABCG2) and CHD risk was performed by logistic regression model. Adjusted odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Compared with subjects with A allele of rs4148152, those with G allele had a decreased CHD risk and the association remained significant in a multivariate model. However, it altered to null when BMI was added into the model. No significant association was observed between rs11722228 and CHD risk. The distribution of CHD risk factors was not significantly different among different genotypes of both SNPs. Among subjects who did not consume alcohol, the G allele of rs4148152 showed a moderate protective effect. However, no significant interactions were observed between SNP by CHD risk factors on CHD risk.

Conclusions

There might be no association between the two uric acid related SNPs with CHD risk. Further studies were warranted to validate these results.

Electronic supplementary material

The online version of this article (doi:10.1186/s12863-015-0162-7) contains supplementary material, which is available to authorized users.     

Photosynthesis-Related Proteins Play Crucial Role During Senescence Stage in Flue-Cured Tobacco Plants: A Combine iTRAQ-PRM Study

Leaf aging is a significant process during herbaceous plant senescence, which is influenced by various internal and external factors. During leaf aging, chlorophyll catabolism is one of the most important metabolism pathways and results in leaf yellowing. Understanding the underlying mechanism is important for the regulation of senescence in tobacco leaf. However, there are few studies on explaining tobacco leaf senescence from the proteomics level. Here, photosynthesis experiments, cell ultrastructure, and proteomics were used to study tobacco leaves of different growth stages. We applied iTRAQ-based quantitative proteomics and parallel reaction monitoring (PRM) to determine the accumulation of proteins in aging tobacco leaves. Overall, we screened 4747 proteins. The result of KEGG pathways analysis showed that differently expressed proteins (DEPs) were involved in four pathways: metabolic pathways, biosynthesis of secondary metabolites, microbial metabolism in diverse environments, and starch and sucrose metabolism. This would be first report based on iTRAQ-PRM technique, in which we identified proteins related to photosynthesis showed a differently expressed during senescence stage in flue-cured tobacco plants.