BackgroundDiet is an important environmental factor that interacts with genes to modulate the likelihood of developing disorders in lipid metabolism and the relationship between diet and genes in the presence of other chronic diseases such as obesity. The objective of this study was to analyze the interaction of a high fat diet with the APOA2 (rs3813627 and rs5082), APOA5 (rs662799 and rs3135506) and LEPR (rs8179183 and rs1137101) polymorphisms and its relationship with obesity and dyslipidemia in young subjects.MethodsThe study included 200 young subjects aged 18 to 25 years (100 normal-weight and 100 obese subjects). Dietary fat intake was measured using the frequency food consumption questionnaire. Genotyping of polymorphisms was performed by PCR-RFLP.ResultsIndividuals carrying the APOA5 56 G/G genotype with a high saturated fatty acid consumption (OR = 2.7, p = 0.006) and/or total fat (OR = 2.4, p = 0.018), associated with an increased risk of obesity. We also found that A/G + G/G genotypes of the 668 A/G polymorphism in the LEPR gene with an intake ≥12 g/d of saturated fatty acids, have 2.9 times higher risk of obesity (p = 0.002), 3.8 times higher risk of hypercholesterolemia (p = 0.002) and 2.4 times higher risk of hypertriglyceridemia (p = 0.02), than those with an intake <12 g/d of saturated fatty acids. Similarly, LEPR 668 A/G + G/G carriers with a high fat total intake had 3.0 times higher risk of obesity (p = 0.002) and 4.1 times higher risk of hypercholesterolemia (p = 0.001).ConclusionOur results suggest that dietary fat intake modifies the effect of APOA5 and LEPR polymorphisms on serum triglycerides, cholesterol levels and obesity in young subjects.
The human adenovirus 36 (Ad-36) is causally and correlatively associated in animals and humans, respectively, with increased adiposity and altered metabolic profile. In previous studies, the relationship between Ad-36 seropositivity with obesity was established in adults and children. We evaluated the association of positive antibodies to Ad-36 with obesity and metabolic profile in Mexican children. Seventy-five children with normal-weight and 82 with obesity were studied in this research. All children had a clinic assessment which included weight, height, body circumferences, and skinfold thickness. Laboratory analyzes included triglycerides, total cholesterol, high-density lipoprotein, low-density lipoprotein, and glucose and insulin levels. An enzyme-linked immunosorbent assay (ELISA) was used to determine the antibodies to Ad-36 in the serum samples. The overall Ad-36 seroprevalence was 73.9%. Ad-36 seropositivity had a higher prevalence in obese children than in normal weight group (58.6 versus 41.4%, P = 0.007). Ad-36 seropositivity was associated with obesity (OR = 2.66, P = 0.01) and high-density lipoprotein <40 mg/dL (OR = 2.85, P = 0.03). The Ad-36 seropositive group had greater risk of 4 metabolic abnormalities compared with those children without none alteration. In summary, Ad-36 seropositivity was associated with obesity and low HDL-c levels in the sample of children studied.
BackgroundCardiovascular disease (CVD) results from a combination of abnormalities in lipoprotein metabolism, oxidative stress, chronic inflammation, and susceptibility to thrombosis. Atherosclerosis is the major cause of CVD. CD36 has been shown to play a critical role in the development of atherosclerotic lesions by its capacity to bind and promote endocytosis of oxidized low-density lipoprotein (oxLDL) and is implicated in the formation of foam cells. The purpose of this research was to evaluate whether there is an association of sCD36 and oxLDL levels with cardiovascular risk factors in young subjects.MethodsA total of 188 subjects, 18 to 25 years old, 133 normal-weight and 55 obese subjects from the state of Guerrero, Mexico were recruited in the study. The lipid profile and glucose levels were measured by enzymatic colorimetric assays. Enzyme-linked immunosorbant assays (ELISA) for oxLDL and sCD36 were performed. Statistical analyses of data were performed with Wilcoxon- Mann Whitney and chi-square tests as well as with multinomial regression.ResultsTC, LDL-C, TG, oxLDL and sCD36 levels were higher in obese subjects than in normal-weight controls, as well as, monocyte and platelet counts (P < 0.05). Obese subjects had 5.8 times higher risk of sCD36 in the third tertil (>97.8 ng/mL) than normal-weight controls (P = 0.014), and 7.4 times higher risk of oxLDL levels in third tertile (>48 U/L) than control group. The subjects with hypercholesterolemia, hypertriglyceridemia, fasting impaired LDL-C had a higher risk of oxLDL levels in the third tertile (>48 U/L) than the control group (P < 0.05).ConclusionsCirculating CD36 and oxLDL levels are associated with cardiovascular risk factors in young subjects and may be potential early markers for cardiovascular disease (CVD).
Introduction: Currently, it is considered that the body fat accumulation at central level is associated with the presence of hypertriglyceridemia, hypertension and diabetes. The body mass index (BMI) has been used to identify obesity in the general population, but can not detect the distribution of body fat, so that can be used other anthropometric measures to assess adiposity and determine their relationship with the presence of metabolic disorders that present people with excess weight. Objective: To evaluate anthropometric measurements such as waist-hip ratio (WHR), BMI and waist circumference (WC) as predictive indicators of metabolic risk factors in Mexican adults. Methods: A descriptive cross-sectional study was conducted in a total of 490 subjects (27-46 years), grouped by gender. All participants were determined anthropometric measurements and biochemical parameters. ROC curves of anthropometric parameters were set to identify the best predictive indicator of metabolic risk. Results: The metabolic risk factor most prevalent after abdominal obesity in women was hypertriglyceridemia, followed by hyperglycemia, hypercholesterolemia and high blood pressure, which are found most often in men than in women, although the presence of abdominal obesity was found most frequently in women (73.9% vs. 37.3%). WC was the best predictive indicator to have one or more metabolic risk factors [area under the curve AUC = 0.85 (95% CI, 0.78 to 0.92)], followed by the BMI [AUC = 0.79 (95% CI, 0.72 to 0.88)], and fi nally the WHC [AUC = 0.63 (95% CI, 0.52 to 0.74)]. Also shows that abdominal obesity duplicate the risk of metabolic syndrome. Conclusion: Waist circumference is a better indicator of metabolic risk in both genders compared with BMI and the WHC.
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