Dietary Intake of Total, Animal, and Vegetable Protein and Risk of Type 2 Diabetes in the European Prospective Investigation into Cancer and Nutrition (EPIC)-NL Study

OBJECTIVE - Dietary recommendations are focused mainly on relative dietary fat and carbohydrate content in relation to diabetes risk. Meanwhile, high-protein diets may contribute to disturbance of glucose metabolism, but evidence from prospective studies is scarce. We examined the association among dietary total, vegetable, and animal protein intake and diabetes incidence and whether consuming 5 energy % from protein at the expense of 5 energy % from either carbohydrates or fat was associated with diabetes risk. RESEARCH DESIGN AND METHODS - A prospective cohort study was conducted among 38,094 participants of the European Prospective Investigation into Cancer and Nutrition (EPIC)-NL study. Dietary protein intake was measured with a validated food frequency questionnaire. Incident diabetes was verified against medical records. RESULTS - During 10 years of follow-up, 918 incident cases of diabetes were documented. Diabetes risk increased with higher total protein (hazard ratio 2.15 [95% CI 1.77-2.60] highest vs. lowest quartile) and animal protein (2.18 [1.80 -2.63]) intake. Adjustment for confounders did not materially change these results. Further adjustment for adiposity measures attenuated the associations. Vegetable protein was not related to diabetes. Consuming 5 energy % from total or animal protein at the expense of 5 energy % from carbohydrates or fat increased diabetes risk. CONCLUSIONS - Diets high in animal protein are associated with an increased diabetes risk. Our findings also suggest a similar association for total protein itself instead of only animal sources. Consumption of energy from protein at the expense of energy from either carbohydrates or fat may similarly increase diabetes risk. This finding indicates that accounting for protein content in dietary recommendations for diabetes prevention may be useful

Vitamin A Metabolism: An Update

Retinoids are required for maintaining many essential physiological processes in the body, including normal growth and development, normal vision, a healthy immune system, normal reproduction, and healthy skin and barrier functions. In excess of 500 genes are thought to be regulated by retinoic acid. 11-cis-retinal serves as the visual chromophore in vision. The body must acquire retinoid from the diet in order to maintain these essential physiological processes. Retinoid metabolism is complex and involves many different retinoid forms, including retinyl esters, retinol, retinal, retinoic acid and oxidized and conjugated metabolites of both retinol and retinoic acid. In addition, retinoid metabolism involves many carrier proteins and enzymes that are specific to retinoid metabolism, as well as other proteins which may be involved in mediating also triglyceride and/or cholesterol metabolism. This review will focus on recent advances for understanding retinoid metabolism that have taken place in the last ten to fifteen years

Dietary Proteins as Determinants of Metabolic and Physiologic Functions of the Gastrointestinal Tract

Dietary proteins elicit a wide range of nutritional and biological functions. Beyond their nutritional role as the source of amino acids for protein synthesis, they are instrumental in the regulation of food intake, glucose and lipid metabolism, blood pressure, bone metabolism and immune function. The interaction of dietary proteins and their products of digestion with the regulatory functions of the gastrointestinal (GI) tract plays a dominant role in determining the physiological properties of proteins. The site of interaction is widespread, from the oral cavity to the colon. The characteristics of proteins that influence their interaction with the GI tract in a source-dependent manner include their physico-chemical properties, their amino acid composition and sequence, their bioactive peptides, their digestion kinetics and also the non-protein bioactive components conjugated with them. Within the GI tract, these products affect several regulatory functions by interacting with receptors releasing hormones, affecting stomach emptying and GI transport and absorption, transmitting neural signals to the brain, and modifying the microflora. This review discusses the interaction of dietary proteins during digestion and absorption with the physiological and metabolic functions of the GI tract, and illustrates the importance of this interaction in the regulation of amino acid, glucose, lipid metabolism, and food intake

Effects of insulin therapy on myocardial lipid content and cardiac geometry in patients with type-2 diabetes mellitus.

AIMS/HYPOTHESIS: Recent evidence suggests a link between myocardial steatosis and diabetic cardiomyopathy. Insulin, as a lipogenic and growth-promoting hormone, might stimulate intramyocardial lipid (MYCL) deposition and hypertrophy. Therefore, the aim of the present study was to investigate the short-term effects of insulin therapy (IT) on myocardial lipid content and morphology in patients with T2DM. METHODS: Eighteen patients with T2DM were recruited (age 56 ± 2 years; HbA1c: 10.5 ± 0.4%). In 10 patients with insufficient glucose control under oral medication IT was initiated due to secondary failure of oral glucose lowering therapy (IT-group), while 8 individuals did not require additional insulin substitution (OT-group). In order to assess MYCL and intrahepatic lipid (IHLC) content as well as cardiac geometry and function magnetic resonance spectroscopy (MRS) and imaging (MRI) examinations were performed at baseline (IT and OT) and 10 days after initiation of IT. Follow up measurements took place 181 ± 49 days after IT. RESULTS: Interestingly, basal MYCLs were 50% lower in IT- compared to OT-group (0.41 ± 0.12 vs. 0.80 ± 0.11% of water signal; p = 0.034). After 10 days of IT, an acute 80%-rise in MYCL (p = 0.008) was observed, while IHLC did not change. Likewise, myocardial mass (+13%; p = 0.004), wall thickness in end-diastole (+13%; p = 0.030) and concentricity, an index of cardiac remodeling, increased (+28%; p = 0.026). In the long-term MYCL returned to baseline, while IHCL significantly decreased (-31%; p = 0.000). No acute changes in systolic left ventricular function were observed. CONCLUSIONS/INTERPRETATION: The initiation of IT in patients with T2DM was followed by an acute rise in MYCL concentration and myocardial mass

Mechanism and effects of glucose absorption during an oral glucose tolerance test among females and males

abstractBackground:Several epidemiological studies revealed sex-specific differences during oral glucose tolerance tests (OGTTs), such as higher prevalence of glucose intolerance (i.e. increased glucose at the end of the OGTT) in females, which was not yet explained. Thus, we aimed to analyze sex-related distinctions on OGTT glucose metabolism, including gut absorption, in healthy humans.Methods:Females (n = 48) and males (n = 26) with comparable age (females, 45 ± 1 yr; males, 44 ± 2 yr) and body mass index (both, 25 ± 1 kg/m2) but different height (females, 166 ± 1 cm; males, 180 ± 2 cm; P &amp;lt; 0.000001), all normally glucose tolerant, as tested by frequently sampled, 3-h (75-g) OGTTs, underwent hyperinsulinemic [40 mU/(min · m2)] isoglycemic clamp tests with simultaneous measurement of endogenous glucose (d-[6,6-2H2]glucose) production (EGP). EGP and glucose disappearance during OGTT were calculated from logarithmic relationships with clamp test insulin concentrations. After reliable model validation by double-tracer technique (r = 0.732; P &amp;lt; 0.007), we calculated and modeled gut glucose absorption (ABS).Results:Females showed lower (P &amp;lt; 0.05) fasting EGP [1.4 ± 0.1 mg/(kg · min)] than males [1.7 ± 0.1 mg/(kg · min)] but comparable whole-body insulin sensitivity in clamp tests [females, 8.1 ± 0.4 mg/(kg · min); males, 8.3 ± 0.6 mg/(kg · min)]. Plasma glucose OGTT concentrations were higher (P &amp;lt; 0.04) from 30–40 min in males but from 120–180 min in females. Glucose absorption rates were 21–46% increased in the initial 40 min in males but in females by 27–40% in the third hour (P &amp;lt; 0.05). Gut glucose half-life was markedly higher in females (79 ± 2 min) than in males (65 ± 3 min, P &amp;lt; 0.0001) and negatively related to body height (r = −0.481; P &amp;lt; 0.0001).Conclusions:This study in healthy, glucose-tolerant humans shows for the first time different ABS rates during OGTT in women and men and a negative relationship between body height and gut glucose half-life. Prolonged ABS in females might therefore contribute to higher plasma glucose concentrations at the end of OGTT.</jats:sec

The Clamp-Like Index

OBJECTIVE—Insulin resistance, the underlying pathophysiological mechanism of the metabolic syndrome, can not only predict type 2 diabetes development but also cardiovascular disease. Thus, precise insulin resistance measurement in individuals at risk for metabolic diseases would support clinical risk stratification. However, the gold standard for measuring insulin resistance, the hyperinsulinemic clamp test, is too labor intensive to be performed in large clinical studies/settings. RESEARCH DESIGN AND METHODS—Using plasma glucose and C-peptide concentrations from oral glucose tolerance tests (OGTTs), we developed the novel "clamp-like index" (CLIX) for insulin sensitivity calculation and compared CLIX to clamp glucose infusion rates (GIR) (100–120 min). We evaluated CLIX in 89 nondiabetic subjects (58 female and 31 male, aged 45 ± 1 years, BMI 27.5 ± 0.8 kg/m2) who underwent frequently sampled 3-h 75-g OGTTs and 2-h hyperinsulinemic-isoglycemic clamp (40 mU/min per m2) tests. RESULTS—CLIX, calculated as serum creatinine (×0.85 if male)/(mean AUCglucose × mean AUCC-peptide) × 6,600, was highly correlated (r = 0.670, P &lt; 10−12) with and comparable to clamp GIRs100–120 min. In subgroup analyses, GIRs100–120 min were lower (P &lt; 0.005) in type 2 diabetic offspring (6.2 ± 0.7 mg · min−1 · kg−1) than in sex-, age-, and BMI-matched subjects without a family history of type 2 diabetes (8.6 ± 0.5 mg · min−1 · kg−1), which was also reflected by CLIX (insulin-resistant offspring 6.4 ± 0.6 vs. those without a family history of type 2 diabetes 9.0 ± 0.5; P &lt; 0.002). When compared with normal-weight subjects (GIR 8.8 ± 0.4 mg · min−1 · kg−1; CLIX 9.0 ± 0.5), both GIRs100–120 min and CLIX of obese (5.2 ± 0.9 mg · min −1 · kg−1; 5.7 ± 0.9) and morbidly obese (2.4 ± 0.4 mg · min −1 · kg−1; 3.3 ± 0.5) humans were lower (each P &lt; 0.02). CONCLUSIONS—CLIX, a novel index obtained from plasma OGTT glucose and C-peptide levels and serum creatinine, without inclusion of anthropometrical measures to calculate insulin sensitivity in nondiabetic humans, highly correlates with clamp GIRs and reveals even slight insulin sensitivity alterations over a broad BMI range and is as sensitive as the hyperinsulinemic clamp test