The association of LRP5 (rs556442) polymorphism with body composition and obesity in postmenopausal women

AimThe main of this study was to investigate the association between the rs566442 (V1119V) coding polymorphism of Low-density lipoprotein receptor-related protein 5 (LRP5) with obesity and basal metabolic rate in Iranian postmenopausal women.MethodsThis cross-sectional study was performed on 350 postmenopausal women with a mean age of 57.8 years (SD ± 6.14). Body composition was analyzed by bioelectrical impedance analysis (BIA) resistance. Obesity was defined based on Body mass index (BMI) ≥30 kg/m2. To determine the genotype of SNP (rs556442), PCR-RFLP assay was performed and confirmed by sequencing. DNA samples from participants were genotyped using the RFLP-PCR method.ResultsAmong the study population 37.1% (130) were obese. G allele had minor-allele frequency of 0.38% in our population. The frequency of genotypes in our study population was 12.9% (45 person) GG, 35.7% (125 person) AA and 51.4% (180) GA. After adjusting age and menopausal age, only basal metabolic rate showed significantly higher in GG group compare to other groups (p = 0.02). Our data showed basal metabolic rate was higher in obese women with GG genotype in comparison to obese women with AG and AA genotypes.DiscussionThe findings of this study suggest that the GG genotype of SNP (rs556442) could protective role in obese women through the association with BMR.     

An investigation of the association between the level of prolactin in serum and type II diabetes

As a hormone secreted from the pituitary gland, prolactin (PRL) plays an important role in increasing beta cell proliferation, stimulating the secretion of insulin, preventing the activities of caspases on pathways that cause apoptosis in the Langerhans' islands, and moderating the immune system in regulating the whole body's sensitivity to insulin. Therefore, PRL level changes in type II diabetes and it can be concluded that PRL can play an important role in metabolic disorders of glucose. The present study is carried out in order to investigate the association between serum levels of PRL and type II DM. Blood samples were taken from 64 females affected by type II diabetes and 70 healthy ones, whose PRL level was measured using electrochemiluminescence (ECL) technique. It was a case-control study, and based on the definition dedicated to each group, subjects were assigned to two groups. The patient group included the subjects with type II diabetes while the control group included healthy samples. Data were analyzed using SPSS software (Mann-Whitney test, t-test, and spearman's rho correlation test). According to the results, PRL concentration in the serum of people affected by type II diabetes (5.32 ± 0.36) was significantly (P?0.05) lower than that of control group (18.38 ± 2.3). The results also showed that in type II diabetes, the level of PRL changes so that the concentration of PRL in the serum of the patients was lower than that of healthy ones. Therefore, PRL concentration in the blood can be related to diabetes.     

Relationship between serum levels of immunoglobulins and metabolic syndrome in an adult population: A population study from the TCLSIH cohort study

Background and aimsMetabolic syndrome (MetS) is a combination of metabolic disorders that increase the risk of developing cardiovascular disease, and inflammation is considered as a pathological basis for MetS. Immunoglobulins (Igs) are the major secretory products of the adaptive immune system. However, no large-scale population study has focused on a possible relationship between Igs and MetS. We designed a cross-sectional study to investigate the relationship between Igs and prevalence of MetS in a large-scale adult population.Methods and resultsA total of 10,289 participants were recruited among residents in Tianjin, China. Metabolic syndrome was defined in accordance with the criteria of the American Heart Association scientific statements of 2009. Serum levels of Igs were determined by immunonephelometry. Multiple logistic regression models were used to assess the relationship between the quintiles of serum levels of Igs and the prevalence of MetS. The overall prevalence of MetS was 36.1%. The mean (standard deviation) values of Igs (IgG, IgE, IgM, and IgA) were 1205.7 (249.3) mg/dL, 93.1 (238.9) IU/mL, 105.7 (57.3) mg/dL, and 236.2 (97.6) mg/dL, respectively. The adjusted odds ratios (95% confidence interval) of MetS for the highest quintile of Igs (IgG, IgE, IgM, and IgA), when compared to the lowest quintile, were 0.81 (0.70, 0.95), 0.97 (0.83, 1.12), 1.13 (0.97, 1.33), and 1.52 (1.30, 1.77), respectively.ConclusionsThis study demonstrated that decreased IgG and increased IgA are independently related to a higher prevalence of MetS. The results indicate that the Igs might be useful predictive factors for MetS in the general adult population.     

Genetic variants of chromosome 9p21.3 region associated with coronary artery disease and premature coronary artery disease in an Asian Indian population

IntroductionAsian Indians have a propensity for premature, severe, and diffuse coronary artery disease (CAD). Several single-nucleotide polymorphisms (SNPs) in the ‘core CAD’ region of the chromosomal region 9p21.3 are known to be strongly associated with CAD.ObjectivesWe aimed to study SNPs in the 9p21.3 region associated with CAD and premature CAD and identify their association with demographic and clinical characteristics in an Asian Indian population.MethodsSNP genotyping was performed for 30 SNPs of the 9p21.3 region using MassARRAY^® technology. Along with demographic and SNP data analysis, we also performed multivariate logistic regression analysis and multifactor dimensionality reduction analysis to study SNP–SNP and SNP–demographic/clinical variable interactions.ResultsOur results suggest that females are at a higher risk of premature CAD. We found that SNPs rs1333045 (CC), rs16905599 (AA), rs2383206 (GG), rs2383208 (AG), and rs4977574 (GG) were significantly associated with premature CAD. When adjusted for covariates/confounders, we found that rs2383206 showed the strongest risk association with CAD followed by rs16905599 and rs2383208. Further, SNPs rs1333049 (CC) and rs4977574 (GG) were found to be exclusively associated with premature CAD cases, suggesting their potential as genetic markers for premature CAD in the local population. Upon gender-based stratification, it was found that rs10757272 (TT and TC) is significantly associated with eightfold to ninefold CAD risk specifically among females. SNP rs7865618 (GG) is significantly associated with more than 2.5-fold CAD risk specifically among males.ConclusionOur study suggests that SNPs at the 9p21 risk locus may be used to generate a reliable genetic risk score along with markers at other loci.