Obesity and variants of the GHRL (ghrelin) and BCHE (butyrylcholinesterase) genes

Ghrelin coded by the GHRL gene is related to weight-gain, its deactivation possibly depending on its hydrolyzation by butyrylcholinesterase (BChE) encoded by the BCHE gene, an enzyme already associated with the body mass index (BMI). The aim was to search for relationships between SNPs of the GHRL and BCHE genes with BChE activity, BMI and obesity in 144 obese and 153 nonobese Euro-Brazilian male blood donors. In the obese individuals, a significant association with higher BChE activity, in the 72LM+72MM; –116GG genotype class (GHRL and BCHE genes, respectively) was noted. No significant differences were found otherwise, through comparisons between obese and control individuals, of genotype and allele frequencies in SNPs of the GHRL gene (Arg51Gln and Leu72Met), or mean BMI between 72LL and 72LM+72MM genotypes. Although there appears to be no direct relationship between the examined GHRL SNPs and BMI, the association of the 72M SNP with higher BChE activity in obese subjects probably points to a regulatory mechanism, thereby implying the influence of the GHRL gene on BChE expression, and a consequential metabolic role in the complex process of fat utilization.

Obesity is a risk factor in many diseases, such as hypertension, coronary artery disease, type II diabetes, breast and colon cancer, constituting a current pandemic disorder.
Ghrelin (Kojima et al., 1999), a peptide related to food intake, is coded by the GHRL gene (3p25-p26). The GHS (growth hormone secretagogue) receptor is activated by acylated ghrelin, although not so with des-acyl ghrelin (Hosoda et al., 2000). In rodents, it was shown that the administration of ghrelin leads to a gain in weight by increasing food intake and reducing fat utilization (Tschöp et al., 2000). It was further proposed that the decrease in plasma ghrelin concentration found in obese individuals could represent a physiological adaptation (Tschöp et al., 2001).
Butyrylcholinesterase (BChE; EC 1.1.1.8) plasma activity is positively correlated with weight and BMI (body mass index), in a phenotype (CHE2 C5-) with approximately 90% population frequency (Chautard-Freire-Maia et al., 1991;Alcântara et al., 2003), whereas in another (CHE2 C5+; 10% population frequency), with 20% higher BChE activity than the former, it is associated with lower mean weight (Chautard-Freire-Maia et al., 1991) and lower mean BMI (Alcântara et al., 2001). This shows that individuals with innate high BChE activity tend to be thinner and that BChE synthesis is increased in individuals that gain weight, suggesting that BChE activity is important in energy balance. Data from the BChE knockout mouse that became obese and significantly heavier than wild-type littermates after an 11% fat diet indicate a role for BChE in fat utilization (Li et al., 2008). Furthermore, SNPs of the human BCHE gene (3q26.1-q26.2) have been associated to BMI (Souza et al., 2005;Furtado-Alle et al., 2008).
Considering that ghrelin desacylation may depend on BChE activity (De Vriese et al., 2004), the search was for relationships between SNPs of the BCHE and GHRL genes and the variables BChE activity, BMI and obesity.
The study involved 144 obese (BMI ³ 30 kg/m 2 ; mean age 36.6 years) and 153 control (20 kg/m 2 £ BMI < 25 kg/m 2 ; mean age 36.3 years) male blood donors from Curitiba, south Brazil, ethnically characterized as Euro-Brazilians on the basis of skin, hair and facial traits. The research was approved by the National's Committee for Ethics in Research (CONEP; registration number 2063).
Statistica for Windows (StatSoft, Inc., 1996) was used for data analysis of: means, frequencies, standard errors, standard deviations, Fisher-exact test, t-test, c 2 test, linear correlations, and step-wise multiple regression analysis.
Multiple regression step-wise analysis (Table 1) indicated two values for beta, both significantly different from 0, when compared by t-tests: the -116A variant leads to lower BChE activity whereas the 72M to higher. Although BChE activity tends to be higher in obese than in non-obese individuals (Furtado-Alle et al.. 2008), the 72M variant appears to contribute to elevating this even more. This significant association is a novelty, and may be considered an inference, as significance comes close to the 0.05 error limit. This may be due to a regulatory mechanism by which the presence of the 72M variant of the GHRL gene induces BChE synthesis. The -116GG genotype is characterized by normal BChE activity. However, in the presence of the 72M variant, mean BChE activity is higher (t = 2.18, p < 0.05) ( Table 2). High BChE activity (> 8 KU/L) was shown in 33% of obese subjects with the 72M variant, but in only 21% of those homozygous for the 72L SNP. Although the L72M SNP is not located in the coding region for the mature ghrelin peptide, the 72M allele leads to an earlier onset of obesity (Ukkola et. al., 2001;Miraglia del Giudice et al., 2004). According to Ukkola et al. (2002), variation in preproghrelin peptide could theoretically change the structure of one or more of the derived products, this leading to functional consequences.
The association between the -116A variant and lower BChE activity (Table 1) is already known, and has been reported in obese and nonobese individuals (Furtado-Alle et al., 2008).
Although the examined GHRL SNPs do not appear to be directly related to BMI, the association of the 72M SNP with higher BChE activity in obese subjects although requiring further study, points to a regulatory mechanism, thus indicating the influence of the GHRL gene on BChE expression and, consequently, its possible role in the complex process of fat utilization. 206 Dantas et al. Regression coefficients for the standardized variables to a mean 0 and SD 1, allowing for comparison of the relative contribution of each independent variable in predicting the dependent variable, also comparable across variables. c (-116GG = 1, -116GA = 2). d (72LL = 1, 72LM+72MM = 2).