Asymmetric dimethylarginine (ADMA) and symmetric dimethylarginine (SDMA) are endogenous inhibitors of nitric oxide (NO) synthesis, and play a critical role in the process of endothelial dysfunction, and are considered markers of oxidative stress. The aim of the present study was to explore relationships between ADMA and/or SDMA and the occurrence of OSA in obese patients as well as the effect of the endothelial nitric oxide synthase (eNOS) gene polymorphism, which may modify the influence of ADMA or SDMA on NO production. A total of 518 unrelated obese subjects were included in this study. Body weight, height and blood pressure were measured and data on self-reported smoking status were collected. Obstructive sleep apnea (OSA) was assessed by the apnea hypopnea index (AHI). Blood samples were collected to measure serum concentrations of glucose, total cholesterol, LDL-cholesterol, HDL-cholesterol, triglycerides, creatinine, HbA1c (%), folic acid, vitamin B12, C-reactive protein (CRP), aspartate aminotransferase (ASP), alanine aminotransferase (ALT) and IL-6 by routine methods. The NOS3 gene G894T and 4a/4b polymorphisms were detected by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis. ADMA, SDMA and arginine concentrations were assessed simultaneously using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) method. Adjusted multivariate logistic regression analysis showed a significant association between the occurrence of OSA and high serum ADMA levels, BMI above 40, age > 43 years, hypertension and male sex. Heterozygotes for the G894T eNOS polymorphism have the lowest serum concentrations of ADMA and SDMA, while no effect of the 4a/4b variants was observed. The results indicate that OSA in obese individuals can coexist with high ADMA levels, which appear as a potential OSA predictor.

BackgroundPatients who are slated for bariatric surgery vary in terms of their age at onset of obesity, duration of obesity, and their health complications. Therefore, we aimed to explore a relationship between the age at onset of obesity, metabolic parameters, and health problems in bariatric surgery candidates.MethodsA total of 469 unrelated adults with obesity prior to bariatric surgery were included in this study. The study group consisted of 246 individuals who became obese < 20 years of age, and 223 individuals who became obese ≥ 20 years. Clinical, biochemical, anthropometric assessments, and DXA-derived measures were taken.ResultsPatients with early onset of obesity had a higher total body fat mass, and higher body fat percentage, and a 1.84 times higher risk of BMI above 40 kg/m2 than patients with adult onset of obesity (≥ 20 years). Multivariable logistic regression demonstrated that, among bariatric surgery candidates with early onset of obesity, the frequency of hypertension and type 2 diabetes was significantly lower than that in cases with an adult onset of obesity, despite a longer duration of obesity and higher BMI.ConclusionsThe age at which an individual reaches obesity has a significant impact on patient characteristics on the day he or she is evaluated for bariatric surgery. A younger age at obesity onset is a predicting factor for a higher BMI in patients, but they are less likely to clinically manifest well-established consequences of obesity, such as diabetes or hypertension, compared to patients with adult onset of obesity.

A b s t r a c tIntroduction: Interaction between obesity and genetic factors involved in the regulatory pathways of glucose homeostasis may play a significant role in diabetes development in the obese. The aim of this study was to investigate the associations between the TCF7L2 rs7903146 polymorphism, adiponectin levels, age at onset of obesity and the occurrence of type 2 diabetes (T2D) in a sample of obese Polish adults. Material and methods: A total of 474 unrelated obese subjects were included in this study. Real-time PCR was used to detect the TCF7L2 rs7903146 polymorphism. Serum level of adiponectin was determined by the ELISA method. Standard assays were used to measure total cholesterol, HDL cholesterol, triglycerides, glucose and HbA 1c concentrations. We used multiple logistic regression to identify factors associated with type 2 diabetes. Results: We found that the T allele of rs7903146 was significantly associated with T2D risk (odds ratio of 1.59 for T allele, p = 0.005). This association persisted after adjusting for confounders in the recessive model (odds ratio of 3.54 for TT genotype, p = 0.011). Serum adiponectin levels were significantly lower in diabetic subjects than in nondiabetic individuals (3.6 vs. 5.6 µg/ml, p < 0.001). Participants who were obese at age ≥ 20 years had significantly higher odds of having T2D (OR = 4.94) than those with the onset of obesity before 20 years (p < 0.001). Conclusions: Our study highlights the significance of the relationship between the TCF7L2 polymorphism, a person's age at onset of obesity and the prevalence of T2D, and confirms lower adiponectin levels in obese diabetics in comparison to obese nondiabetics.

Background. Postmenopausal osteoporosis is a systemic bone disease characterized by low bone mass after menopause. Bone remodeling is regulated by a number of factors, including the immune system. Toll-like receptors 4 (TLR4) are expressed on bone cells and modify the immune response. TLR4 gene polymorphism may take part in the development of chronic inflammation in women after menopause, which is the cause of severe bone resorption. Objectives. To examine the frequency of TLR4 C1196T genotypes in postmenopausal osteoporotic and non-osteoporotic Polish women and to investigate the possible relationship between C1196T polymorphism, bone mineral density (BMD) and the incidence of osteoporotic fractures in this group of patients. Material and Methods. The study involved 40 postmenopausal women with osteoporosis and 63 healthy postmenopausal non-osteoporotic women. BMD measurements were performed by dual-energy X-ray absorptiometry. DNA was extracted from peripheral blood. Genotyping was performed by real-time PCR using LightSNiP tests with SimpleProbe probes. Melting curve analysis of PCR amplicons enabled the identification of individual C1196T genotypes. Results. C1196T genotype frequencies in the osteoporotic group were 88% for CC and 12% for CT. In the control group, respectively 86% and 14%. We did not observe the TT genotype. There was no association of C1196T genotypes and BMD nor the incidence of fractures but there was a correlation between genotypes and body height (p = 0.035, r = 0.415). Homozygous subjects for the C-allele had a lower body height with respect to heterozygous subjects. Conclusions. It is unlikely that TLR4 C1196T polymorphism is related to bone mineral density and fracture incidence in Polish osteoporotic women after menopause. However, our data suggests that the C allele may be associated with lower body height in this group. Due to the small number of participants, our observations should be considered as preliminary. Larger studies are needed to confirm our findings (Adv Clin Exp Med 2015, 24, 2, 239-243).

BackgroundAlongside obesity, insomnia and depression are common public health problems. Sleep problems are currently believed to be associated with excessive food intake and metabolic disturbances. Therefore, we aimed to explore a relationship between insomnia, depressive symptoms and eating habits as well as metabolic parameters in bariatric surgery candidates.MethodsA total of 361 unrelated obese subjects were included in this study. Severity of sleep problems was measured with Athens Insomnia Scale (AIS) and the severity of depressive symptoms was assessed with the Beck Depression Inventory (BDI-II). Obstructive sleep apnea (OSA) was assessed by the Apnea Hypopnoea Index (AHI). Information was obtained about demographics, eating habits and lifestyle. Blood samples were collected to measure concentration of lipids (cholesterol, triglyceride, HDL-cholesterol, LDL-cholesterol), and glucose.ResultsThe median (interquartile range) score for AIS in the study participants was 5 (3–8) with a range of 0–24 and 47% (171) participants scored ≥6 (met criteria for diagnosis of insomnia). Statistically significant correlations were found between the AIS scores and serum triglycerides and glucose concentrations, and BDI-II total scores. The highest scores on AIS and BDI-II were found in participants with high frequency of snack food consumption, in physically inactive individuals as well as in those who self-reported eating at night or who declared more than 3 intense emotions associated with a desire-to-eat. Adjusted multivariate logistic regression analysis revealed that clinical insomnia was most strongly associated with daily consumption of snack foods, with the odds ratio of 3.26 (95% CI: 1.74–6.11), while depressive symptoms were strongly associated with both eating in response to ≥3 specific emotions with OR = 2.93 (95% CI: 1.26–6.78) as well as with daily consumption of snack foods with OR = 2.87 (95% CI: 1.16–5.14).ConclusionsThe results indicate that insomnia and depression in obese individuals are associated with eating habits, and suggest that in some patients these associations appears as major factors affecting obesity development.