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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: OBJECTIVE, RESULTS. Meshes: Adaptive Immunity, Adult, Aged, Biomarkers, Blood Glucose, Cardiovascular Diseases, Cholesterol, HDL, Cross-Sectional Studies, Diet Records, Feeding Behavior, Female, Glucagon-Like Peptide 1, Humans, Inflammation Mediators, Insulin, Insulin Resistance, Interferon-gamma, Italy, Liver, Male, Metabolic Syndrome, Middle Aged, Multivariate Analysis, Non-alcoholic Fatty Liver Disease, Nutritional Status, Postprandial Period, Regression Analysis, Risk Assessment, Risk Factors, Time Factors.
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Are insulin resistance , postprandial GLP-1 and adaptive immunity the main predictors of NAFLD in a homogeneous population at high cardiovascular risk? Context: The role of the different factors associated with fatty liver is still poorly defined. We evaluated the relationships between liver fat content (LF) and metabolic, inflammatory and nutritional factors in a homogeneous cohort of individuals at high cardio-metabolic risk. In 70 individuals with high waist circumference and at least one more criterion for metabolic syndrome enrolled in a nutritional intervention study, LF was evaluated at baseline by hepatic/renal echo intensity ratio (H/R), together with dietary habits (7-day dietary record), insulin sensitivity and β-cell function (fasting and OGTT-derived indices), fasting and postprandial plasma GLP-1 and lipoproteins, and plasma inflammatory markers. H/R correlated positively with fasting and OGTT plasma glucose and insulin concentrations, HOMA-IR and β-cell function, and IL-4, IL-17, IFN-γ, TNF-α, FGF and GCSF plasma concentrations (p < 0.05 for all), and negatively with insulin sensitivity (OGIS), dietary, polyphenols and fiber (p < 0.05 for all). By multiple stepwise regression analysis, the best predictors of H/R were OGIS (β = -0.352 p = 0.001), postprandial GLP-1 (β = -0.344; p = 0.001), HDL-cholesterol (β = -0.323; p = 0.002) and IFN-γ (β = 0.205; p = 0.036).
assistant
A comprehensive evaluation of factors associated with liver fat, in a homogeneous population at high cardio-metabolic risk, indicated a pathogenic combination of the same pathways underlying the atherosclerotic process, namely whole body insulin sensitivity and inflammation. The higher predictive value of postprandial variables suggests that liver fat is essentially a postprandial phenomenon, with a relevant role possibly played by GLP-1. Final Decision: yes