The effects of physiologic hyperinsulinemia and hyperaminoacidemia, alone or in combination, on leucine kinetics in vivo were studied in postabsorptive healthy subjects with primed-constant infusions of L-[4,5-3H]leucine and [1-14C]alpha-ketoisocaproate (KIC) under euglycemic conditions. Hyperinsulinemia (approximately 100 microU/ml) decreased (P less than 0.05 vs. baseline) steady state Leucine + KIC rates of appearance (Ra) from proteolysis, KIC (approximately leucine-carbon) oxidation, and nonoxidized leucine-carbon flux (leucine----protein). Hyperaminoacidemia (plasma leucine, 210 mumol/liter), with either basal hormone replacement or combined to hyperinsulinemia, resulted in comparable increases in leucine + KIC Ra, KIC oxidation, and leucine----protein (P less than 0.05 vs. baseline). However, endogenous leucine + KIC Ra was suppressed only with the combined infusion. Therefore, on the basis of leucine kinetic data, hyperinsulinemia and hyperaminoacidemia stimulated net protein anabolism in vivo by different mechanisms. Hyperinsulinemia decreased proteolysis but did not stimulate leucine----protein. Hyperaminoacidemia per se stimulated leucine----protein but did not suppress endogenous proteolysis. When combined, they had a cumulative effect on net leucine deposition into body protein.

OBJECTIVE: Nitric oxide (NO) is a key metabolic and vascular regulator. Its production is stimulated by insulin. A reduced urinary excretion of NO products (NOx) is frequently found in type 2 diabetes, particularly in association with nephropathy. However, whether the decreased NOx excretion in type 2 diabetes is caused by a defective NOx production from arginine in response to hyperinsulinemia has never been studied. RESEARCH DESIGN AND METHODS: We measured NOx fractional (FSR) and absolute (ASR) synthesis rates in type 2 diabetic patients with diabetic nephropathy and in control subjects, after l-[15N2-guanidino]-arginine infusion, and use of precursor–product relationships. The study was conducted both before and after an euglycemic hyperinsulinemic (∼1,000–1,200 pmol/l) clamp. RESULTS: In type 2 diabetes, NOx FSR was reduced both under basal (19.3 ± 3.9% per day, vs. 22.9 ± 4.5% per day in control subjects) and hyperinsulinemic states (24.0 ± 5.6% per day, vs. 37.9 ± 6.4% per day in control subjects; P < 0.03 by ANOVA). Similarly, in type 2 diabetes, NOx ASR was lower than in control subjects under both conditions (basal, 0.32 ± 0.06 vs. 0.89 ± 0.34 mol per day; hyperinsulinemia, 0.35 ± 0.07 vs. 1.15 ± 0.38 mol per day; P = 0.01 by ANOVA). In type 2 diabetes, the ability of insulin to stimulate both the FSR (4.7 ± 3.2% per day) and the ASR (0.03 ± 0.04 mol per day) of NOx was several-fold lower than that in control subjects (15.0 ± 2.9% per day and 0.25 ± 0.07 mol per day, P < 0.03 and P < 0.02, respectively). Also the fraction of arginine flux converted to NOx (basal, 0.22 ± 0.05% vs. 0.65 ± 0.25%; hyperinsulinemia, 0.32 ± 0.06% vs. 1.03 ± 0.33%) was sharply reduced in the patients (P < 0.01 by ANOVA). CONCLUSIONS: In type 2 diabetic patients with nephropathy, intravascular NOx synthesis from arginine is decreased under both basal and hyperinsulinemic states. This defect extends the concept of insulin resistance to NO metabolism.

To date, the complexity of the plasma proteome exceeds the analytical capacity of conventional approaches to isolate lower abundance proteins that may prove to be informative biomarkers. Only complex multistep separation strategies have been able to detect a substantial number of low abundance proteins (<100 ng/ml). The first step of these protocols is generally the depletion of high abundance proteins by the use of immunoaffinity columns or, alternatively, the enrichment of by the use of solid phase hexapeptides ligand libraries. Here we present a direct comparison of these two approaches. Following either approach, the plasma sample was further fractionated by SCX chromatography and analyzed by RP-LC-MS/MS with a Q-TOF mass spectrometer. The depletion of the 20 most abundant plasma proteins allowed the identification of about 25% more proteins than those detectable following low abundance proteins enrichment. The two datasets are partially overlapping and the identified proteins belong to the same order of magnitude in terms of plasma concentration. Our results show that the two approaches give complementary results. However, the enrichment of low abundance proteins has the great advantage of obtaining much larger amount of material that can be used for further fractionations and analyses and emerges also as a cheaper and technically simpler approach. Collectively, these data indicate that the enrichment approach seems more suitable as the first stage of a complex multi-step fractionation protocol.

The environmental footprint of animal food production is considered several-fold greater than that of crops cultivation. Therefore, the choice between animal and vegetarian diets may have a relevant environmental impact. In such comparisons however, an often neglected issue is the nutritional value of foods. Previous estimates of nutrients’ environmental footprint had predominantly been based on either food raw weight or caloric content, not in respect to human requirements. Essential amino acids (EAAs) are key parameters in food quality assessment. We re-evaluated here the environmental footprint (expressed both as land use for production and as Green House Gas Emission (GHGE), of some animal and vegetal foods, titrated to provide EAAs amounts in respect to human requirements. Production of high-quality animal proteins, in amounts sufficient to match the Recommended Daily Allowances of all the EAAs, would require a land use and a GHGE approximately equal, greater o smaller (by only ±1-fold), than that necessary to produce vegetal proteins, except for soybeans, that exhibited the smallest footprint. This new analysis downsizes the common concept of a large advantage, in respect to environmental footprint, of crops vs. animal foods production, when human requirements of EAAs are used for reference.

The development of sarcopenia in the elderly is associated with many potential factors and/or processes that impair the renovation and maintenance of skeletal muscle mass and strength as ageing progresses. Among them, a defect by skeletal muscle to respond to anabolic stimuli is to be considered. Common anabolic stimuli/signals in skeletal muscle are hormones (insulin, growth hormones, IGF-1, androgens, and β-agonists such epinephrine), substrates (amino acids such as protein precursors on top, but also glucose and fat, as source of energy), metabolites (such as β-agonists and HMB), various biochemical/intracellular mediators), physical exercise, neurogenic and immune-modulating factors, etc. Each of them may exhibit a reduced effect upon skeletal muscle in ageing. In this article, we overview the role of anabolic signals on muscle metabolism, as well as currently available evidence of resistance, at the skeletal muscle level, to anabolic factors, from both in vitro and in vivo studies. Some indications on how to augment the effects of anabolic signals on skeletal muscle are provided.