The preproghrelin gene (chromosome 3p26-p25) encodes two active peptides, ghrelin and obestatin. Both peptides are involved in the body energy homeostasis. Obestatin, a 23-amino-acid polypeptide, has the opposite effect to ghrelin, promoting reduced food intake and decreasing body weight (1). Low obestatin levels potentiate the insulin response to glucose, while high obestatin concentration inhibits insulin release (2). Several reports showed the association of single nucleotide polymorphisms (SNPs) of the preproghrelin gene with type 2 diabetes, obesity, insulin resistance, metabolic syndrome, anorexia nervosa, among other disorders (3). The association between the obesity pandemics and the increase in the occurrence of gestational diabetes suggested that variations in the preproghrelin gene could be good targets of a genetic marker for this disease. We investigated exon 3 of the preproghrelin gene, which encodes obestatin, for polymorphisms in gestational diabetes (GDM) in a case-controlled study. Healthy Euro-Brazilian pregnant women (control, n = 165) and gestational diabetic patients (GDM, n = 136) were classified according to American Diabetes Association criteria (4). Patients with overt diabetes were excluded. The Ethics Committee on Human Research of our institution approved this study. The obestatin encoding region was amplified by PCR (primers: F 5’-GGGCATGACCTCTGACATCT-3’ and R 5’-GAAACCGAGCAAACCCAGT-3’; amplicon 191bp) and polymorphisms were screened by PCR-SSCP. All different electrophoretic patterns and 15% of other samples had their amplicons sequenced (BigDye, 3500 XL, Applied Biosystems). The SNP was identified and aligned using CodonCode Alligner v.4.1.1 (CodonCode Corporation) and the web sites BlastSNP and Reference SNP. The only polymorphism (SNP) identified was Q90L ( rs4684677 ), a missense one (glutamine to leucine). We found no differences regarding genotype or allele frequencies for the SNP Q90L in the studied population. Also, the SNP was not associated with body mass index or fasting glucose levels (regression analysis, data not shown) in either group (Table 1). The rare allele ( T ) frequency (11-12%) observed was similar in Caucasians (10.8%), and higher than in Asians (~1%) according to the HapMap (http://www.hapmap.org/). To our knowledge, this is the first report on this polymorphism in gestational diabetes patients. In conclusion, the SNP Q90L of the preproghrelin gene was not associated with gestational diabetes in the studied population.
Acknowledgments
we are thankful to Dr. M. G. Yates for reading the manuscript, and to Valter A. Baura for his technical assistance. This project was supported by National Council for Scientific and Technological Development (CNPq) and the Araucaria Foundation.
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