Objective: Progression of prediabetes to type 2 diabetes has been associated with β-cell dysfunction, whereas its remission to normoglycemia has been related to improvement of insulin sensitivity. To understand the mechanisms and identify potential biomarkers related to prediabetes trajectories, we compared the proteomics and metabolomics profile of people with prediabetes progressing to diabetes or reversing to normoglycemia within 1 year.
Research Design And Methods: The fasting plasma concentrations of 1,389 proteins and the fasting, 30-min, and 120-min post-oral glucose tolerance test (OGTT) plasma concentrations of 152 metabolites were measured in up to 134 individuals with new-onset diabetes, prediabetes, or normal glucose tolerance.
Background & Aims: Recently, a beneficial effect of high intake of unsaturated fatty acids (UFA) and protein on intrahepatic lipids (IHL) was demonstrated over 12 months within a randomized controlled trial (the NutriAct trial). We now aimed to explore the specific macronutrient components driving this IHL improvement within this trial in middle-aged and elderly subjects (50-80 y) at risk for age-related diseases.
Methods: The NutriAct trial (n = 502) analyzed the effect of a high-protein and high-UFA diet on age related diseases including fatty liver disease.
The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138 fb^{-1} of proton-proton collision data at sqrt[s]=13 TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.
View Article and Find Full Text PDF