The association of dietary phytochemical index and nonalcoholic fatty liver disease.

Consumption of phytochemical-rich foods relates to the prevention of chronic diseases. In this study we assessed the dietary phytochemical index (PI) in metabolic parameters, liver enzymes, and severity of fibrosis among nonalcoholic fatty liver disease patients. This cross-sectional study was conducted on 210 patients with NAFLD. Fibrosis-4 index (FLB4), nonalcoholic fatty liver disease fibrosis score (NFS), FBS, lipids profile, AST, ALT, ALP, and GGT were measured. PI was calculated through the information obtained from a validated semi-quantitative food frequency. Multiple regression models were used to estimate mean difference changes in the evaluated variables associated with various dietary PI. Participants' mean ± SD of age and BMI were 39.23 ± 10.52 and 24.40 ± 2.64, respectively. We found that DPI is inversely associated with serum TG, TC, and LDL-C and directly associated with serum HDL-C and a higher score in DPI is associated with lower scores in NFS and FIB-4. Multivariate linear regression showed that there is an inverse association between DPI and AST, ALT, ALP, GGT, NFS, and FIB-4. Higher dietary PI could impact on reduction of NAFLD progression and improvement of metabolic parameters.

Multiparametric changes in the receptive field of cortical auditory neurons induced by thalamic activation in the mouse.

The functional organization of the sensory cortex is constructed to process sensory information based on experience and learning. Importantly, it is plastic so that it can quickly adapt to environmental changes. Because the thalamus gates all ascending information, it is critical to understand how the thalamocortical system contributes to the plasticity of the sensory cortex. We show here that the neuronal receptive field (RF) in the auditory cortex faithfully tends toward the RF of the electrically stimulated auditory thalamic neurons. We characterized the RF of auditory neurons by measuring the best frequency, minimum threshold, bandwidth, RF area, and averaged response magnitude. All these parameters of the cortical RF showed robust changes toward the values of the parameters of the stimulated thalamic neuron following focal thalamic stimulation. Our data suggest that the thalamocortical system possesses intrinsic mechanisms that underlie the input specificity of learning-induced or experience-dependent cortical plasticity.