Nutrition
-
We propose an automated nutritional assessment algorithm that provides a method for malnutrition risk prediction with high accuracy and reliability. ⋯ The problem of rapidly identifying risk and severity of malnutrition is crucial for minimizing medical and surgical complications. These are not easily performed or adequately expedited. We characterized for each patient a unique profile and mapped similar patients into a classification. We also found that the laboratory parameters were sufficient for the automated risk prediction.
-
To analyze the effect of the fatty acid-binding protein (FABP2) gene Ala54Thr polymorphism on anthropometric and biochemical variables in response to a moderate-fat diet in overweight or obese subjects. ⋯ This study showed that the Thr54 allele carriers responded better to a moderate-fat diet.
-
We analyzed the interferon-α (IFN-α), IFN-β, and proinflammatory responses induced by Toll-like receptor (TLR) ligands in peripheral blood mononuclear cells (PBMCs) from obese subjects and their association with suppressor of cytokine signaling-1 (SOCS1) and SOCS3 expression. ⋯ These data suggest that obesity is related to impaired IFN-α and IFN-β responses and increased SOCS3 basal mRNA expression and that a signaling pathway by TLR-3 may be involved. These results could explain, at least in part, the inadequate response of obese people against viral infections, such as influenza.
-
Poor oral status, represented by partial/complete tooth loss, may lead to changes in food choice, which may ultimately lead to underweight, overweight, or obesity. The aim of this study is to evaluate whether poor oral status is associated with underweight or overweight/obesity, regardless of physical activity. ⋯ To our knowledge, this is one of the first studies associating poor oral health, represented by edentulism not rehabilitated with dentures, with unfavorable body mass, regardless of the two major confounders, physical activity and depression symptoms.