Methylation profile of SNRPN gene and its correlation with weight and chronological age.

Genomic imprinting is an important epigenetic phenomenon, wherein genes or gene clusters are marked by DNA methylation during gametogenesis. This plays a major role in several functions of normal cells, including cell differentiation, X chromosome inactivation, and the maintenance of chromatin structure, in mammalian development. The aim of this study was to investigate the possible differences in SNRPN gene methylation profiles in non-obese and obese individuals, and in children and adults. Our results did not reveal any statistical correlations between the DNA methylation profiles of the SNRPN gene in children or adult obese and non-obese groups. However, a comparison of the methylation levels with the chronological age revealed statistically significant differences between the means of methylation in adults and children (46.20 ± 5.88 and 39.40 ± 2.87, respectively; P < 0.001). Pearson's correlation analysis indicated a positive association between the level of DNA methylation and the chronological age (R2 = 0.326; P < 0.001). Therefore, we concluded that the methylation profile of the SNRPN promoter (in blood) is not a useful biomarker for determining the predisposition of an individual to obesity. Additionally, we have confirmed that SNRPN methylation increases with age, which raises further questions regarding the role of SNRPN expression during the aging process.

Manipulation of primer affinity improves high-resolution melting accuracy for imprinted genes.

High-resolution melting (HRM) is considered an inexpensive, rapid, and attractive methodology for methylation analysis. In the application of the polymerase chain reaction (PCR) to methylation analysis, amplification efficiencies are biased towards unmethylated, rather than methylated, templates: a phenomenon known as PCR bias. To overcome PCR bias, primers that include CpG site(s) and are fully complementary to the methylated sequence have been proposed. However, genes mapped within imprinted regions usually present higher methylation levels, and an unusual PCR bias towards the methylated template can therefore arise. The manipulation of primer affinity attempts to overcome this problem. We attempted to show that mismatches at the primer's methylated binding sites increase the area between the 50 and 100% methylation plots on the melting curves, and may increase HRM accuracy for samples that have high methylation levels. Sets of primers for imprinted genes that included CpG sites at their binding sequences were designed, and were complementary to methylated or unmethylated templates. Primers fully complementary to methylated templates produced a very small area between the 50 and 100% methylation plots. When using primers that were fully complementary to the unmethylated sequence, we were able to increase the area between the 50 and 100% methylation plots. Therefore, when samples are highly methylated, such as targets in genes mapped in imprinted regions, we propose that primers should favor amplification of the rarest, unmethylated sequence. Primers may be designed to include one CpG at its binding site and be fully complementary to the unmethylated template.