Literature DB >> 22357182

Insulin sensitivity, β-cell function, and incretin effect in individuals with elevated 1-hour postload plasma glucose levels.

Maria A Marini1, Elena Succurro, Simona Frontoni, Simona Mastroianni, Franco Arturi, Angela Sciacqua, Renato Lauro, Marta L Hribal, Francesco Perticone, Giorgio Sesti.   

Abstract

OBJECTIVE: Individuals with normal glucose tolerance (NGT), whose 1-h postload plasma glucose is ≥155 mg/dL (NGT 1h-high), have an increased risk of type 2 diabetes. The purpose of this study was to characterize their metabolic phenotype. RESEARCH DESIGN AND METHODS: A total of 305 nondiabetic offspring of type 2 diabetic patients was consecutively recruited. Insulin secretion was assessed using both indexes derived from oral glucose tolerance test (OGTT) and intravenous glucose tolerance test (IVGTT). Insulin sensitivity was measured by hyperinsulinemic-euglycemic clamp.
RESULTS: Compared with individuals with a 1-h postload plasma glucose <155 mg/dL (NGT 1h-low), NGT 1h-high individuals exhibited lower insulin sensitivity after adjustment for age, sex, and BMI. Insulin secretion estimated from the OGTT did not differ between the two groups of individuals. By contrast, compared with NGT 1h-low individuals, the acute insulin response during an IVGTT and the disposition index were significantly reduced in NGT 1h-high individuals after adjustment for age, sex, and BMI. Incretin effect, estimated as the ratio between total insulin responses during OGTT and IVGTT, was higher in NGT 1h-high individuals compared with NGT 1h-low individuals.
CONCLUSIONS: NGT 1h-high individuals may represent an intermediate state of glucose intolerance between NGT and type 2 diabetes characterized by insulin resistance and reduced β-cell function, the two main pathophysiological defects responsible for the development of type 2 diabetes. Postload hyperglycemia is the result of an intrinsic β-cell defect rather than impaired incretin effect.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22357182      PMCID: PMC3308308          DOI: 10.2337/dc11-2181

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


Impaired glucose tolerance (IGT) identifies individuals with a dysglycemic condition intermediate between normal glucose tolerance (NGT) and type 2 diabetes (1). Individuals with IGT are at high risk for the future development of type 2 diabetes, and several clinical trials have shown that both lifestyle changes and pharmacological intervention prevent/halt the progression from IGT to overt type 2 diabetes (2–5). The results of these intervention studies highlight the importance of identifying individuals at high risk for type 2 diabetes in order to offer them an intervention program to reduce the incidence of the disease, and recently new guidelines for the screening of individuals for type 2 diabetes risks and diabetes prevention have been developed by a European multidisciplinary consortium (the Development and Implementation of a European Guideline and Training Standards for Diabetes Prevention [IMAGE] project) to provide evidence-based recommendations for health care practitioners, organizations, and funders on the prevention of type 2 diabetes in European health care settings (6,7). It is important to note that all clinical trials that have evaluated the impact of intervention strategies for preventing type 2 diabetes have recruited subjects with IGT (2–5). However, longitudinal studies have demonstrated that over one-third of individuals who develop type 2 diabetes have NGT at baseline (8), indicating that the use of IGT or impaired fasting glucose (IFG) categories as the sole means of identifying individuals at high risk for type 2 diabetes may overlook a considerable proportion of individuals who will develop type 2 diabetes over time. Recently, it has been reported that a cutoff of 155 mg/dL for 1-h postload plasma glucose during an oral glucose tolerance test (OGTT) can identify individuals at high risk for development of type 2 diabetes among those who have NGT (NGT 1h-high) (9–11). Addition of HbA1c levels to 1-h postload plasma glucose levels significantly increased their respective power in predicting development of type 2 diabetes risk, indicating that additional information about type 2 diabetes risk is embedded in HbA1c (12). Importantly, NGT 1h-high individuals exhibit early signs of subclinical organ damage including vascular atherosclerosis (13), reduced estimated glomerular filtration rate (14), left ventricular hypertrophy (15), and left ventricular diastolic dysfunction (16). The metabolic abnormalities responsible for 1-h postload hyperglycemia remain to be elucidated. Impaired insulin sensitivity and failure of pancreatic β-cells to compensate for the enhanced insulin demand are the principal factors responsible for the development and progression of type 2 diabetes. It is possible that defects in β-cells function and/or in the incretin effect occur at an earlier stage than IGT, i.e., in individuals who are considered to have NGT according to current diagnostic criteria. To gain a more deep insight into the metabolic abnormalities characterizing NGT 1h-high individuals, we evaluated insulin sensitivity assessed by hyperinsulinemic-euglycemic clamp as well as insulin secretion and the incretin effect by using both OGTT and intravenous glucose tolerance test (IVGTT) in a cohort of nondiabetic offspring of type 2 diabetic patients.

RESEARCH DESIGN AND METHODS

The study group comprised 305 nondiabetic offspring participating in the EUGENE2 (European Network on Functional Genomics of Type 2 Diabetes) project (17) who had one parent with type 2 diabetes and one parent without a history of type 2 diabetes and a normal response to an OGTT. All subjects were Caucasian and were consecutively recruited at the Department of Internal Medicine of the University of Rome “Tor Vergata” and at the Department of Medical and Surgical Sciences of the University “Magna Graecia” of Catanzaro. All subjects were characterized according to a previously described protocol (17,18). Briefly, after 12-h fasting, all individuals underwent anthropometrical evaluation including body composition evaluated by bioelectrical impedance, and a 75-g OGTT was performed with 0-, 30-, 60-, 90-, and 120-min sampling for plasma glucose and insulin. On the second visit, the subjects underwent an IVGTT and a hyperinsulinemic-euglycemic clamp. At 8 a.m., after a 12-h overnight fast, an intravenous catheter was placed in the antecubital vein for the infusion of glucose. Another cannula for blood sampling was inserted into a wrist vein surrounded by a heated box. After baseline blood collection, a bolus of glucose (300 mg/kg in a 50% solution) was given (within 30 s) into the antecubital vein to acutely increase the blood glucose level. Samples for the measurement of blood glucose and plasma insulin were drawn at 2, 4, 6, 8, 10, 20, 30, 40, 50, and 60 min. At 60 min after the glucose bolus, a continuous insulin infusion was initiated at the rate of 40 mU/m2 body surface area per min, after a priming dose, in order to reach and maintain a steady-state plasma insulin of 85 ± 9 μU/mL. Plasma glucose was assessed at 5-min intervals during the 2-h clamp study by a glucose analyzer. In the study subjects, mean plasma glucose concentration during the last hour of the clamp was 92 ± 4 mg/dL. The study was approved by institutional ethics committees, and informed consent was obtained from each subject in accordance with the principles of the Declaration of Helsinki.

Calculation

Subjects were classified as NGT (fasting plasma glucose [FPG] <126 mg/dL and 2-h postload <140 mg/dL) or IGT (FPG <126 mg/dL and 2-h postload 140–199 mg/dL). Acute insulin response (AIR) during the IVGTT was calculated as the incremental area under the curve (AUC) for insulin during the first 10 min of the IVGTT using the trapezoidal rule. Two indexes of insulin secretion were calculated from the OGTT data using the Stumvoll index (first-phase secretion = 1,283 + 1.829 × Ins30 − 138.7 × Gluc30 + 3.772 × Ins0) (19), where Ins is insulin and Gluc is glucose, and the ratio of total insulin AUC to total glucose AUC during 0–30 min of the OGTT (InsAUC30/GluAUC30). Glucose disposal (M) was calculated as the mean rate of glucose infusion measured during the last 60 min of the clamp examination (steady state) and is expressed as milligrams per minute per kilogram fat-free mass (MFFM) measured with the use of electrical bioimpedance. To evaluate β-cell function, the so-called disposition index was calculated as AIR × MFFM (20). The incretin effect was estimated as the ratio between total insulin responses during OGTT and IVGTT and expressed as percentage [100% × (AUCins OGTT – AUCins IVGTT)/AUCins OGTT] (21). Three indexes of insulin sensitivity, which have been shown to strongly correlate with insulin sensitivity measured by hyperinsulinemic-euglycemic clamp (22), have been calculated from the OGTT data: the Matsuda index [10,000/square root of (fasting glucose in mmol/L) × fasting insulin in mU/L] × [mean glucose × mean insulin during OGTT] (23); the simple index assessing insulin sensitivity using OGTT (SIISOGTT), 1/[log(G0 + G30 + G90 + G120) + log(I0 + I30 + I90 + I120)] (24); and the Avignon SiM index, ([0.137 × insulin sensitivity index derived from insulin and glucose concentrations in the basal state {Sib}] + Si2h)/2, where Sib = 108/[fasting insulin × fasting glucose × glucose distribution volume (VD)], Si2h = 108/(2-h insulin × 2-h glucose × VD), and VD = 150 mL/kg body weight (25).

Statistical analysis

Continuous variables are expressed as means ± SD. Categorical variables were compared by χ2 test. A general linear model with post hoc Bonferroni correction for multiple comparisons was used to compare differences of continuous variables between groups. For all analyses, a P value ≤0.05 was considered statistically significant. All analyses were performed using SPSS software, version 16.0, for Windows.

RESULTS

Of 305 nondiabetic individuals examined, 49 had IGT. We divided the subjects with NGT into two groups: 184 individuals with 1-h postload plasma glucose <155 mg/dL (NGT 1h-low) and 72 individuals with 1-h postload plasma glucose ≥155 mg/dL (NGT 1h-high). Table 1 shows the clinical characteristics and laboratory findings of the three study groups. Significant differences between the three groups were observed with respect to sex (higher prevalence of men among NGT 1h-high and IGT compared with NGT 1h-low subjects), age (NGT 1h-high and IGT subjects were older than NGT 1h-low subjects), and BMI (IGT subjects were heavier than NGT 1h-high and NGT 1h-low subjects). Therefore, all analyses were adjusted for age, sex, and BMI.
Table 1

Anthropometric and clinical characteristics of the study subjects stratified according to glucose tolerance

Anthropometric and clinical characteristics of the study subjects stratified according to glucose tolerance By design, NGT 1h-high and IGT individuals had significantly higher 1-h and 2-h postload plasma glucose levels in addition to higher fasting plasma glucose compared with NGT 1h-low individuals. A significant reduction in peripheral insulin sensitivity, evaluated by the hyperinsulinemic-euglycemic clamp, was observed in NGT 1h-high and IGT individuals compared with NGT 1h-low individuals, but no differences were observed between the two former groups. Similarly, a significant reduction in insulin sensitivity was observed in NGT 1h-high and IGT individuals compared with NGT 1h-low individuals by using three validated OGTT-derived surrogate indexes such as the Matsuda, SIISOGTT, and Avignon SiM indexes (Table 1). The InsAUC30/GluAUC30 and the Stumvoll first-phase indexes of insulin secretion, estimated from the OGTT, did not differ between the three groups of individuals. By contrast, compared with NGT 1h-low individuals, the AIR during an IVGTT, a direct measure of insulin secretion from β-cells, was significantly reduced in NGT 1h-high individuals but not in IGT individuals. As insulin secretion is dependent on actual insulin sensitivity, we compared the disposition index, calculated as the product of the insulin-stimulated glucose disposal and AIR indexes in the three groups of individuals. The disposition index was significantly lower in NGT 1h-high and IGT individuals compared with NGT 1h-low individuals, but no differences were observed between the two former groups. The divergent results between estimates of glucose-stimulated insulin secretion during oral versus intravenous glucose administration in NGT 1h-high individuals compared with NGT 1h-low individuals raise the possibility that an increased incretin effect may account for these disparities. Since the glucose AUC during OGTT (219 ± 31, 264 ± 15, and 292 ± 29 for NGT 1h-low, NGT 1h-high, and IGT groups, respectively) was similar to the glucose AUC during IVGTT (220 ± 39, 250 ± 27, and 280 ± 30 for NGT 1h-low, NGT 1h-high, and IGT groups, respectively) in each of the three groups, we compared the incretin effect estimated as the ratio between total insulin responses during OGTT and IVGTT. The incretin effect was higher in NGT 1h-high individuals compared with NGT 1h-low individuals.

CONCLUSIONS

There is evidence that a significant proportion of individuals with NGT are at risk for type 2 diabetes (8), and recent studies have shown that a cutoff value of 155 mg/dL for 1-h postload glucose during an OGTT can identify NGT individuals at high risk for development of type 2 diabetes (9–11). In this study, we provide evidence that subjects with NGT, whose 1-h postload plasma glucose is ≥155 mg/dL, have a reduction in both insulin sensitivity and β-cell dysfunction, the two main pathophysiological defects responsible for the development of type 2 diabetes. We found that, compared with NGT 1h-low individuals, NGT 1h-high and IGT individuals had a similar impairment of insulin sensitivity, but only NGT 1h-high individuals had a defect in first-phase insulin secretion assessed by IVGTT. Because the amount of insulin secreted by the β-cell is strongly dependent on the prevailing degree of insulin sensitivity, accounting for differences in insulin sensitivity is a critical point when evaluating β-cell function. Thus, adjusting insulin secretion for the level of insulin sensitivity using the disposition index (insulin sensitivity × β-cell function) may be a better measure of β-cell function (20). Using this approach, we found that both NGT 1h-high and IGT individuals had a lower disposition index compared with NGT 1h-low individuals after adjusting for age, sex, and BMI. Consistent with the present data, a recent report from the Relationship between Insulin Sensitivity and Cardiovascular Risk (RISC) study group showed that NGT individuals, whose 1-h postload plasma glucose was >161 mg/dL, exhibited lower insulin sensitivity and β-cell dysfunction compared with NGT individuals with 1-h postload plasma glucose ≤161 mg/dL (26). Conceptually, in the presence of increased insulin resistance, 1-h postload hyperglycemia may arise either from an intrinsic β-cell defect or from an impairment of incretin’s ability to potentiate insulin secretion. We found that NGT 1h-high individuals have a normal insulin response to oral glucose ingestion as estimated by two OGTT-derived indexes of insulin secretion, but they exhibit a significant impairment in insulin response to intravenous glucose administration. Intriguingly, NGT 1h-high individuals showed a higher incretin effect estimated as the ratio between total insulin responses during OGTT and IVGTT. These results suggest that postload hyperglycemia may be the result of an intrinsic β-cell defect rather than of an impaired incretin effect. The enhanced incretin effect could be due to a compensatory increase in either secretion or action of incretin hormones or to both. Another possibility is that similar insulin responses to oral glucose load between the NGT 1h-low, NGT 1h-high, and IGT individuals in the face of higher glucose levels during the OGTT in the latter group may indicate a lower sensitivity of the β-cells to glucose in NGT 1h-high individuals. Accordingly, it has indeed been shown that NGT individuals, whose 1-h postload plasma glucose was >161 mg/dL, have a reduction in β-cell glucose sensitivity (26). The current study has several strengths. Data were collected by a trained staff, following a standardized protocol (17), and metabolic and hormonal analyses were performed in a centralized laboratory. Our results are also strengthened by the use of state-of-the-art techniques for assessments of insulin sensitivity and insulin secretion. Most previous studies in NGT 1h-high versus NGT 1h-low individuals have used only oral glucose tests, and in none of these studies were simultaneous measurements of insulin sensitivity by the gold standard hyperinsulinemic-euglycemic clamp, and insulin secretion by OGTT and IVGTT, performed (9–13,26). The present results point to the importance of discriminating between insulin secretion measurements derived from oral or from intravenous glucose challenge tests, the relevance of estimating the incretin effect when evaluating insulin secretion, and the impact of adjusting for the actual insulin sensitivity when evaluating β-cell function. Nevertheless, the current study needs to be interpreted in the context of some potential limitations. First, the cross-sectional nature of our study does not provide insight into the time course of the development of alterations in insulin secretion and insulin sensitivity leading to deterioration in glucose homeostasis; therefore, no conclusions regarding cause-effect relationships can be made. A second limitation of the current study is that each test (OGTT, IVGTT, and euglycemic clamp study) assessing insulin sensitivity and glucose-stimulated insulin secretion was only performed once. Although such an approach reflects clinical practice, intraindividual variation in levels of these variables cannot be taken into account, and some individuals might have been misclassified. Moreover, the observed differences in insulin secretion and insulin sensitivity may be, in part, due to differences in sex, age, and BMI among the groups with different glucose tolerance; however, all measures of insulin secretion and insulin action were adjusted for these variables. Additionally, it can also be argued that the findings of the current study might have been influenced by the presence of a family history of diabetes. However, all of the subjects in this study came from families with only one parent affected by type 2 diabetes, and many subjects who develop the disease have a family history of diabetes. Finally, the current results are only based on Caucasian individuals, and generalizing them to other ethnic groups must be done with caution because differences between ethnic groups in insulin resistance and β-cell function have been reported. The present cross-sectional study should be considered hypothesis generating and requiring confirmation by both cross-sectional and prospective studies in other ethnic populations.
  26 in total

1.  One-hour postload plasma glucose levels are associated with kidney dysfunction.

Authors:  Elena Succurro; Franco Arturi; Marina Lugarà; Alessandro Grembiale; Teresa Vanessa Fiorentino; Vittoria Caruso; Francesco Andreozzi; Angela Sciacqua; Marta Letizia Hribal; Francesco Perticone; Giorgio Sesti
Journal:  Clin J Am Soc Nephrol       Date:  2010-07-01       Impact factor: 8.237

2.  Role of glycated hemoglobin in the prediction of future risk of T2DM.

Authors:  Muhammad A Abdul-Ghani; Tamam Abdul-Ghani; Gabriele Müller; Antje Bergmann; Sabine Fischer; Stefan Bornstein; Ralph A Defronzo; Peter Schwarz
Journal:  J Clin Endocrinol Metab       Date:  2011-06-06       Impact factor: 5.958

3.  Take action to prevent diabetes--the IMAGE toolkit for the prevention of type 2 diabetes in Europe.

Authors:  J Lindström; A Neumann; K E Sheppard; A Gilis-Januszewska; C J Greaves; U Handke; P Pajunen; S Puhl; A Pölönen; A Rissanen; M Roden; T Stemper; V Telle-Hjellset; J Tuomilehto; D Velickiene; P E Schwarz; T Acosta; M Adler; A AlKerwi; N Barengo; R Barengo; J M Boavida; K Charlesworth; V Christov; B Claussen; X Cos; E Cosson; S Deceukelier; V Dimitrijevic-Sreckovic; P Djordjevic; P Evans; A-M Felton; M Fischer; R Gabriel-Sanchez; A Gilis-Januszewska; M Goldfracht; J L Gomez; C J Greaves; M Hall; U Handke; H Hauner; J Herbst; N Hermanns; L Herrebrugh; C Huber; U Hühmer; J Huttunen; A Jotic; Z Kamenov; S Karadeniz; N Katsilambros; M Khalangot; K Kissimova-Skarbek; D Köhler; V Kopp; P Kronsbein; B Kulzer; D Kyne-Grzebalski; K Lalic; N Lalic; R Landgraf; Y H Lee-Barkey; S Liatis; J Lindström; K Makrilakis; C McIntosh; M McKee; A C Mesquita; D Misina; F Muylle; A Neumann; A C Paiva; P Pajunen; B Paulweber; M Peltonen; L Perrenoud; A Pfeiffer; A Pölönen; S Puhl; F Raposo; T Reinehr; A Rissanen; C Robinson; M Roden; U Rothe; T Saaristo; J Scholl; P E Schwarz; K E Sheppard; S Spiers; T Stemper; B Stratmann; J Szendroedi; Z Szybinski; T Tankova; V Telle-Hjellset; G Terry; D Tolks; F Toti; J Tuomilehto; A Undeutsch; C Valadas; P Valensi; D Velickiene; P Vermunt; R Weiss; J Wens; T Yilmaz
Journal:  Horm Metab Res       Date:  2010-04-13       Impact factor: 2.936

4.  A European evidence-based guideline for the prevention of type 2 diabetes.

Authors:  B Paulweber; P Valensi; J Lindström; N M Lalic; C J Greaves; M McKee; K Kissimova-Skarbek; S Liatis; E Cosson; J Szendroedi; K E Sheppard; K Charlesworth; A-M Felton; M Hall; A Rissanen; J Tuomilehto; P E Schwarz; M Roden; M Paulweber; A Stadlmayr; L Kedenko; N Katsilambros; K Makrilakis; Z Kamenov; P Evans; A Gilis-Januszewska; K Lalic; A Jotic; P Djordevic; V Dimitrijevic-Sreckovic; U Hühmer; B Kulzer; S Puhl; Y H Lee-Barkey; A AlKerwi; C Abraham; W Hardeman; T Acosta; M Adler; A AlKerwi; N Barengo; R Barengo; J M Boavida; K Charlesworth; V Christov; B Claussen; X Cos; E Cosson; S Deceukelier; V Dimitrijevic-Sreckovic; P Djordjevic; P Evans; A-M Felton; M Fischer; R Gabriel-Sanchez; A Gilis-Januszewska; M Goldfracht; J L Gomez; C J Greaves; M Hall; U Handke; H Hauner; J Herbst; N Hermanns; L Herrebrugh; C Huber; U Hühmer; J Huttunen; A Jotic; Z Kamenov; S Karadeniz; N Katsilambros; M Khalangot; K Kissimova-Skarbek; D Köhler; V Kopp; P Kronsbein; B Kulzer; D Kyne-Grzebalski; K Lalic; N Lalic; R Landgraf; Y H Lee-Barkey; S Liatis; J Lindström; K Makrilakis; C McIntosh; M McKee; A C Mesquita; D Misina; F Muylle; A Neumann; A C Paiva; P Pajunen; B Paulweber; M Peltonen; L Perrenoud; A Pfeiffer; A Pölönen; S Puhl; F Raposo; T Reinehr; A Rissanen; C Robinson; M Roden; U Rothe; T Saaristo; J Scholl; P E Schwarz; K E Sheppard; S Spiers; T Stemper; B Stratmann; J Szendroedi; Z Szybinski; T Tankova; V Telle-Hjellset; G Terry; D Tolks; F Toti; J Tuomilehto; A Undeutsch; C Valadas; P Valensi; D Velickiene; P Vermunt; R Weiss; J Wens; T Yilmaz
Journal:  Horm Metab Res       Date:  2010-04-13       Impact factor: 2.936

5.  Pioglitazone for diabetes prevention in impaired glucose tolerance.

Authors:  Ralph A DeFronzo; Devjit Tripathy; Dawn C Schwenke; MaryAnn Banerji; George A Bray; Thomas A Buchanan; Stephen C Clement; Robert R Henry; Howard N Hodis; Abbas E Kitabchi; Wendy J Mack; Sunder Mudaliar; Robert E Ratner; Ken Williams; Frankie B Stentz; Nicolas Musi; Peter D Reaven
Journal:  N Engl J Med       Date:  2011-03-24       Impact factor: 91.245

6.  Relation of direct and surrogate measures of insulin resistance to cardiovascular risk factors in nondiabetic finnish offspring of type 2 diabetic individuals.

Authors:  Carlos Lorenzo; Steven M Haffner; Alena Stancáková; Markku Laakso
Journal:  J Clin Endocrinol Metab       Date:  2010-08-11       Impact factor: 5.958

7.  Fasting versus postload plasma glucose concentration and the risk for future type 2 diabetes: results from the Botnia Study.

Authors:  Muhammad A Abdul-Ghani; Valeriya Lyssenko; Tiinamaija Tuomi; Ralph A DeFronzo; Leif Groop
Journal:  Diabetes Care       Date:  2008-11-18       Impact factor: 19.112

8.  One-hour plasma glucose identifies insulin resistance and beta-cell dysfunction in individuals with normal glucose tolerance: cross-sectional data from the Relationship between Insulin Sensitivity and Cardiovascular Risk (RISC) study.

Authors:  Melania Manco; Simona Panunzi; David P Macfarlane; Alain Golay; Olle Melander; Thomas Konrad; John R Petrie; Geltrude Mingrone
Journal:  Diabetes Care       Date:  2010-09       Impact factor: 19.112

9.  Elevated one-hour post-load plasma glucose levels identifies subjects with normal glucose tolerance but early carotid atherosclerosis.

Authors:  E Succurro; M A Marini; F Arturi; A Grembiale; M Lugarà; F Andreozzi; A Sciacqua; R Lauro; M L Hribal; F Perticone; G Sesti
Journal:  Atherosclerosis       Date:  2009-04-11       Impact factor: 5.162

10.  One-hour postload plasma glucose levels and left ventricular mass in hypertensive patients.

Authors:  Angela Sciacqua; Sofia Miceli; Giuseppe Carullo; Laura Greco; Elena Succurro; Franco Arturi; Giorgio Sesti; Francesco Perticone
Journal:  Diabetes Care       Date:  2011-04-22       Impact factor: 19.112

View more
  23 in total

1.  Glycemic variability in normal glucose regulation subjects with elevated 1-h postload plasma glucose levels.

Authors:  Jian-Bin Su; Tong Chen; Feng Xu; Xue-Qin Wang; Jin-Feng Chen; Gang Wu; Yan Jin; Xiao-Hua Wang
Journal:  Endocrine       Date:  2013-09-13       Impact factor: 3.633

2.  One-hour and two-hour postload plasma glucose concentrations are comparable predictors of type 2 diabetes mellitus in Southwestern Native Americans.

Authors:  Ethan Paddock; Maximilian G Hohenadel; Paolo Piaggi; Pavithra Vijayakumar; Robert L Hanson; William C Knowler; Jonathan Krakoff; Douglas C Chang
Journal:  Diabetologia       Date:  2017-06-29       Impact factor: 10.122

3.  Modelling of OGTT curve identifies 1 h plasma glucose level as a strong predictor of incident type 2 diabetes: results from two prospective cohorts.

Authors:  Akram Alyass; Peter Almgren; Mikael Akerlund; Jonathan Dushoff; Bo Isomaa; Peter Nilsson; Tiinamaija Tuomi; Valeriya Lyssenko; Leif Groop; David Meyre
Journal:  Diabetologia       Date:  2014-10-08       Impact factor: 10.122

4.  High-normal 2 h glucose is associated with defects of insulin secretion and predispose to diabetes in Chinese adults.

Authors:  Ziwei Lin; Jian Zhou; Xiaowen Li; Lige Song; Xuhong Hou; Junling Tang; Chen Wang; Weiping Jia
Journal:  Endocrine       Date:  2014-04-08       Impact factor: 3.633

5.  Abnormal 1-hour post-load glycemia during pregnancy impairs post-partum metabolic status: a single-center experience.

Authors:  A Tumminia; A Milluzzo; F Cinti; M Parisi; F Tata; F Frasca; L Frittitta; R Vigneri; L Sciacca
Journal:  J Endocrinol Invest       Date:  2017-10-24       Impact factor: 4.256

6.  One-hour post-load plasma glucose levels associated with decreased insulin sensitivity and secretion and early makers of cardiometabolic risk.

Authors:  M L Marcovecchio; M Bagordo; E Marisi; T de Giorgis; V Chiavaroli; F Chiarelli; A Mohn
Journal:  J Endocrinol Invest       Date:  2017-03-01       Impact factor: 4.256

7.  Elevated 1-hour plasma glucose levels are associated with dysglycemia, impaired beta-cell function, and insulin sensitivity: a pilot study from a real world health care setting.

Authors:  Ram Jagannathan; Mary Ann Sevick; Huilin Li; Dorothy Fink; Rachel Dankner; Angela Chetrit; Jesse Roth; Michael Bergman
Journal:  Endocrine       Date:  2015-09-29       Impact factor: 3.633

8.  [One-hour post-load plasma glucose: a better indicator of glucose metabolism for obstructive sleep apnea?]

Authors:  Yuan Feng; Dong-Ying Guo; Miao Luo; Ting Xu; Dan-Qing Li; Ya-Hui Lei; Tao-Ping Li
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-10-20

9.  Effects of exercise training alone vs a combined exercise and nutritional lifestyle intervention on glucose homeostasis in prediabetic individuals: a randomised controlled trial.

Authors:  Cris A Slentz; Lori A Bateman; Leslie H Willis; Esther O Granville; Lucy W Piner; Gregory P Samsa; Tracy L Setji; Michael J Muehlbauer; Kim M Huffman; Connie W Bales; William E Kraus
Journal:  Diabetologia       Date:  2016-07-15       Impact factor: 10.122

Review 10.  Review of methods for detecting glycemic disorders.

Authors:  Michael Bergman; Muhammad Abdul-Ghani; Ralph A DeFronzo; Melania Manco; Giorgio Sesti; Teresa Vanessa Fiorentino; Antonio Ceriello; Mary Rhee; Lawrence S Phillips; Stephanie Chung; Celeste Cravalho; Ram Jagannathan; Louis Monnier; Claude Colette; David Owens; Cristina Bianchi; Stefano Del Prato; Mariana P Monteiro; João Sérgio Neves; Jose Luiz Medina; Maria Paula Macedo; Rogério Tavares Ribeiro; João Filipe Raposo; Brenda Dorcely; Nouran Ibrahim; Martin Buysschaert
Journal:  Diabetes Res Clin Pract       Date:  2020-06-01       Impact factor: 5.602

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.