Evaluation of the cytotoxicity and genotoxicity of glufosinate-ammonium at technical and commercial grades in HepG2 cells.

Exposure to genotoxic agents is associated with the development of cancer and related diseases. For this reason, assessing the genotoxicity of chemical compounds is necessary. In this line, information about the genotoxic effect of glufosinate-ammonium (GLA) has been reported only for the technical grade. However, humans are frequently exposed to commercial formulations of pesticides. Commercial formulations are characterized by using inner agents that increase toxicity compared to pesticides in technical grade. This study aimed to determine the cytotoxic and genotoxic effects of GLA on HepG2 cells. MTT and comet assays were performed to evaluate cell viability and DNA damage, respectively. HepG2 cells were exposed for 24 h to different concentrations of GLA (at 0.01 µg/mL; 0.04 µg/mL; 0.1 µg/mL; 0.24 µg/mL; 0.52 µg/mL; 1.25 µg/mL; 2.62 µg/mL and 13.12 µg/mL) in commercial- (Finale Ultra®) or technical-grade (GLAT). The results indicated that only Finale Ultra® induced a reduction in cell viability at 13.12 µg/mL. Furthermore, exposure to Finale Ultra® or GLAT was associated with increased DNA damage at concentrations from 0.52-13.12- µg/mL. This study shows the genotoxic effect of GLA on HepG2 cells.

Interaction of dietary fat intake with APOA2, APOA5 and LEPR polymorphisms and its relationship with obesity and dyslipidemia in young subjects.

BACKGROUND: Diet 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. METHODS: The 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. RESULTS: Individuals 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). CONCLUSION: Our results suggest that dietary fat intake modifies the effect of APOA5 and LEPR polymorphisms on serum triglycerides, cholesterol levels and obesity in young subjects.

Anthropometric measurements as predictive indicators of metabolic risk in a Mexican population / Las medidas antropométricas como indicadores predictivos de riesgo metabólico en una población mexicana.

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 finally 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.

Introducción: actualmente se considera que la acumulación de grasa corporal a nivel central se asocia con la presencia de hipertrigliceridemia, hipertensión arterial y diabetes. El índice de masa corporal (IMC) se ha utilizado para identificar la obesidad en la población general, pero no permite determinar la distribución de la grasa corporal, por lo que se pueden utilizar otras medidas antropométricas para evaluar la adiposidad y determinar su relación con la presencia de alteraciones metabólicas que presentan las personas con exceso de peso. Objetivo: evaluar las medidas antropométricas como el índice cintura-cadera (ICC), IMC y circunferencia de cintura (CC) como indicadores predictivos de factores de riesgo metabólico en población mexicana adulta. Métodos: se realizó un estudio transversal descriptivo en un total de 490 personas (27-46 años), agrupadas por género. A todos los participantes se les determinaron medidas antropométricas y parámetros bioquímicos. Se crearon curvas ROC de los parámetros antropométricos para identificar el mejor indicador predictivo de riesgo metabólico. Resultados: el factor de riesgo metabólico con mayor prevalencia después de la obesidad abdominal en mujeres fue la hipertrigliceridemia, seguido de la hiperglicemia, hipercolesterolemia y presión arterial elevada, que se encontraron con mayor frecuencia en los hombres, aunque la presencia de obesidad abdominal se encontró con mayor frecuencia en las mujeres (73,9 vs.37,3 %). La circunferencia de cintura fue el mejor indicador predictivo para presentar uno o más factores de riesgo metabólico [área bajo la curva ABC = 0,85 (IC 95%, 0,78-0,92)], seguido del IMC [ABC = 0,79 (IC 95%, 0,72-0,88)] y por último el ICC [ABC = 0,63 (IC 95%, 0,52-0,74)]. Además, se observó que la obesidad abdominal duplica el riesgo de presentar el síndrome metabólico. Conclusión: la circunferencia de cintura es el mejor indicador de riesgo metabólico en ambos sexos en comparación con el IMC y el ICC.

Las medidas antropométricas como indicadores predictivos de riesgo metabólico en una población mexicana / Anthropometric measurements as predictive indicators of metabolic risk in a Mexican population

Introducción: actualmente se considera que la acumulación de grasa corporal a nivel central se asocia con la presencia de hipertrigliceridemia, hipertensión arterial y diabetes. El índice de masa corporal (IMC) se ha utilizado para identificar la obesidad en la población general, pero no permite determinar la distribución de la grasa corporal, por lo que se pueden utilizar otras medidas antropométricas para evaluar la adiposidad y determinar su relación con la presencia de alteraciones metabólicas que presentan las personas con exceso de peso. Objetivo: evaluar las medidas antropométricas como el índice cintura-cadera (ICC), IMC y circunferencia de cintura (CC) como indicadores predictivos de factores de riesgo metabólico en población mexicana adulta. Métodos: se realizó un estudio transversal descriptivo en un total de 490 personas (27-46 años), agrupadas por género. A todos los participantes se les determinaron medidas antropométricas y parámetros bioquímicos. Se crearon curvas ROC de los parámetros antropométricos para identificar el mejor indicador predictivo de riesgo metabólico. Resultados: el factor de riesgo metabólico con mayor prevalencia después de la obesidad abdominal en mujeres fue la hipertrigliceridemia, seguido de la hiperglicemia, hipercolesterolemia y presión arterial elevada, que se encontraron con mayor frecuencia en los hombres, aunque la presencia de obesidad abdominal se encontró con mayor frecuencia en las mujeres (73,9 vs. 37,3 %). La circunferencia de cintura fue el mejor indicador predictivo para presentar uno o más factores de riesgo metabólico [área bajo la curva ABC = 0,85 (IC 95%, 0,78-0,92)], seguido del IMC [ABC = 0,79 (IC 95%, 0,72-0,88)] y por último el ICC [ABC = 0,63 (IC 95%, 0,52-0,74)]. Además, se observó que la obesidad abdominal duplica el riesgo de presentar el síndrome metabólico. Conclusión: la circunferencia de cintura es el mejor indicador de riesgo metabólico en ambos sexos en comparación con el IMC y el ICC (AU)

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 finally 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 (AU)