The development of obesity entails a chronic low-grade inflammatory state with increased pro-inflammatory cells, mainly in visceral adipose tissue (VAT). Additionally, dietary patterns have an influence on the regulation of chronic inflammation. Dietary Approaches to Stop Hypertension (DASH) include foods with an anti-inflammatory profile and that have positive impacts on body composition (BC), suggesting improvements in inflammatory processes. Objective: To analyze the impact of the DASH diet on cellular immunity, anthropometric, biochemical and BC parameters in patients with overweight and obesity, who could present metabolic syndrome. Methodology: Lymphocyte subpopulations, biochemical parameters, anthropometric parameters, and BC before and 8 weeks after intervention with the DASH diet in persons with overweight and obesity were measured. Results: Fifty-nine young adults participated in the study. After the intervention, no significant changes in biochemical parameters were observed, although a significant decrease in nearly all of the anthropometric and BC variables was found: waist circumference (p < 0.001), percentage and kilograms of fat (p < 0.001 and p < 0.025, respectively), VAT (p < 0.020), and weight (p < 0.001), as well as total lymphocytes and double-positive TCD4+ cells. A relation between changes in leukocyte subpopulations (monocytes, natural killer, helper and cytotoxic lymphocytes, and naive TCD4+ cells) and metabolic improvements (glucose, triglycerides, total cholesterol and LDL-c) was also found. Conclusions: The DASH diet promotes positive changes in lymphocyte subpopulations, anthropometric parameters and BC in persons with overweight and obesity. Future studies should elucidate the cellular and molecular mechanisms through which the DASH diet produces inmunometabolic improvement.
After therapy, malnourished infected children showed poor NK cell responses during the infection's resolution phase, suggesting a persistent malnutrition-mediated immunological deficiency.
La vainilla (Vanilla planifolia) es uno de los aromáticos más demandados en la industria culinaria y refresquera, y entre los cultivos lícitos es de los más rentables, solo después del azafrán. En 2017 la producción en México fue 505.32 toneladas, ubicándolo como el cuarto productor mundial después de Madagascar, Indonesia y China. El objetivo de este estudio fue desarrollar un modelo de pronóstico para la producción anual de vainilla en México (PVAINI). Los datos fueron del periodo 2000 a 2016 y se utilizó la metodología Box-Jenkins de procesos autorregresivos integrados de medias móviles (ARIMA). Los parámetros de los modelos se estimaron con el método de máxima verosimilitud con el paquete de cómputo Statistical Analysis System. Un modelo basado en la serie PVAINI se adaptó para el periodo 2000 a 2016 y se validó con los datos de los años 2016 y 2017. El mejor modelo estimado fue ARIMA (1, 1, 1) e indicó que los PVAINI se explican con la producción ocurrida 4 años previos. Los valores pronosticados para 2017 fueron cercanos a los valores observados. El modelo ARIMA representó con cierta precisión el PVAINI en el próximo año y proporcionó información para planificar y tomar decisiones para los próximos seis años.
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