Skip to main content
  • More from ADA
    • Diabetes
    • Clinical Diabetes
    • Diabetes Spectrum
    • ADA Standards of Medical Care
    • ADA Scientific Sessions Abstracts
    • BMJ Open Diabetes Research & Care
  • Subscribe
  • Log in
  • Log out
  • My Cart
  • Follow ada on Twitter
  • RSS
  • Visit ada on Facebook
Diabetes Care

Advanced Search

Main menu

  • Home
  • Current
    • Current Issue
    • Online Ahead of Print
    • Special Article Collections
    • ADA Standards of Medical Care
  • Browse
    • By Topic
    • Issue Archive
    • Saved Searches
    • Special Article Collections
    • ADA Standards of Medical Care
  • Info
    • About the Journal
    • About the Editors
    • ADA Journal Policies
    • Instructions for Authors
    • Guidance for Reviewers
  • Reprints/Reuse
  • Advertising
  • Subscriptions
    • Individual Subscriptions
    • Institutional Subscriptions and Site Licenses
    • Access Institutional Usage Reports
    • Purchase Single Issues
  • Alerts
    • E­mail Alerts
    • RSS Feeds
  • Podcast
  • Submit
    • Submit a Manuscript
    • Journal Policies
    • Instructions for Authors
    • ADA Peer Review
  • More from ADA
    • Diabetes
    • Clinical Diabetes
    • Diabetes Spectrum
    • ADA Standards of Medical Care
    • ADA Scientific Sessions Abstracts
    • BMJ Open Diabetes Research & Care

User menu

  • Subscribe
  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
Diabetes Care
  • Home
  • Current
    • Current Issue
    • Online Ahead of Print
    • Special Article Collections
    • ADA Standards of Medical Care
  • Browse
    • By Topic
    • Issue Archive
    • Saved Searches
    • Special Article Collections
    • ADA Standards of Medical Care
  • Info
    • About the Journal
    • About the Editors
    • ADA Journal Policies
    • Instructions for Authors
    • Guidance for Reviewers
  • Reprints/Reuse
  • Advertising
  • Subscriptions
    • Individual Subscriptions
    • Institutional Subscriptions and Site Licenses
    • Access Institutional Usage Reports
    • Purchase Single Issues
  • Alerts
    • E­mail Alerts
    • RSS Feeds
  • Podcast
  • Submit
    • Submit a Manuscript
    • Journal Policies
    • Instructions for Authors
    • ADA Peer Review
Cardiovascular and Metabolic Risk

Different Mechanisms for Impaired Fasting Glucose and Impaired Postprandial Glucose Tolerance in Humans

  1. Christian Meyer, MD1,
  2. Walkyria Pimenta, MD2,
  3. Hans J. Woerle, MD3,
  4. Timon Van Haeften, MD4,
  5. Ervin Szoke, MD5,
  6. Asimina Mitrakou, MD6 and
  7. John Gerich, MD5
  1. 1Department of Endocrinology, Carl T. Hayden VA Medical Center, Phoenix, Arizona
  2. 2Department of Clinical Medicine, Faculdade de Medicina Botucatu, University of Sao Paulo State, Sao Paulo, Brazil
  3. 3Department of Internal Medicine II, Ludwig-Maximilians University of Munich, Munich, Germany
  4. 4Department of Internal Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
  5. 5Department of Medicine, University of Rochester School of Medicine, Rochester, New York
  6. 6Diabetes/Metabolism Unit, Henry Dunant Foundation, Athens, Greece
  1. Address correspondence and reprint requests to Christian Meyer, MD, Carl T. Hayden VA Medical Center, 650 East Indian School Rd., Phoenix, AZ 85012. E-mail: christian.meyer{at}med.a.gov
Diabetes Care 2006 Aug; 29(8): 1909-1914. https://doi.org/10.2337/dc06-0438
PreviousNext
  • Article
  • Figures & Tables
  • Info & Metrics
  • PDF
Loading

Abstract

OBJECTIVE—To compare the pathophysiology of impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) in a more comprehensive and standardized fashion than has hitherto been done.

RESEARCH DESIGN AND METHODS—We studied 21 individuals with isolated IFG (IFG/normal glucose tolerance [NGT]), 61 individuals with isolated IGT (normal fasting glucose [NFG]/IGT), and 240 healthy control subjects (NFG/NGT) by hyperglycemic clamps to determine first- and second-phase insulin release and insulin sensitivity. Homeostasis model assessment (HOMA) indexes of β-cell function (HOMA-%B) and insulin resistance (HOMA-IR) were calculated from fasting plasma insulin and glucose concentrations.

RESULTS—Compared with NFG/NGT, IFG/NGT had similar fasting insulin concentrations despite hyperglycemia; therefore, HOMA-IR was increased ∼30% (P < 0.05), but clamp-determined insulin sensitivity was normal (P > 0.8). HOMA-%B and first-phase insulin responses were reduced ∼35% (P < 0.002) and ∼30% (P < 0.02), respectively, but second-phase insulin responses were normal (P > 0.5). NFG/IGT had normal HOMA-IR but ∼15% decreased clamp-determined insulin sensitivity (P < 0.03). Furthermore, HOMA-%B was normal but both first-phase (P < 0.0003) and second-phase (P < 0.0001) insulin responses were reduced ∼30%. IFG/NGT differed from NFG/IGT by having ∼40% lower HOMA-%B (P < 0.012) and ∼50% greater second-phase insulin responses (P < 0.005).

CONCLUSIONS—Since first-phase insulin responses were similarly reduced in IFG/NGT and NFG/IGT, we conclude that IFG is due to impaired basal insulin secretion and preferential resistance of glucose production to suppression by insulin, as reflected by fasting hyperglycemia despite normal plasma insulin concentrations and increased HOMA-IR, whereas IGT mainly results from reduced second-phase insulin release and peripheral insulin resistance, as reflected by reduced clamp-determined insulin sensitivity.

  • DI, disposition index
  • EGP, endogenous glucose production
  • FSIVGTT, frequently sampled intravenous glucose tolerance test
  • HOMA, homeostasis model assessment
  • HOMA-%B, HOMA of β-cell function
  • HOMA-IR, HOMA of insulin resistance
  • IFG, impaired fasting glucose
  • IGT, impaired glucose tolerance
  • ISI, insulin sensitivity index
  • NFG, normal fasting glucose
  • NGT, normal glucose tolerance
  • OGTT, oral glucose tolerance test
  • WHR, waist-to-hip ratio

Pre-diabetes is a category of glucose tolerance representing an intermediate stage between normal glucose tolerance (NGT) and diabetes. Within this category are two subcategories: impaired fasting glucose (IFG; defined as a fasting plasma glucose concentration of 100–125 mg/dl) and impaired glucose tolerance (IGT; defined as a 2-h oral glucose tolerance test [OGTT] plasma glucose concentration of 140–199 mg/dl) (1). Although both subcategories increase the risk for diabetes, current evidence suggests that they may have different pathophysiologies and different consequences. For example, most but not all studies indicate that IGT is a better predictor than IFG for all-cause mortality and/or cardiovascular morbidity/mortality (1). Furthermore, rates of endogenous glucose production (EGP) are proportional to fasting plasma glucose concentrations (2). Consequently, EGP would be expected to be greater in people with IFG than in those with isolated IGT.

The question thus arises whether IFG and IGT are fundamentally different conditions. The answer to this question could have important implications for their treatment and for interventions aimed at preventing the progression to diabetes.

A number of studies have assessed insulin secretion and sensitivity in individuals with isolated IFG and isolated IGT (3–10). Although virtually all indicate that the pathophysiologies of IFG and IGT may be different, these have not yielded consistent results regarding the differences in these conditions. In studies using homeostasis model assessment (HOMA), which has been used most commonly, insulin resistance (HOMA-IR) was at least equally if not more pronounced in IFG than IGT (3,5,6,8–10). In contrast, of the three studies (3,4,7) that assessed insulin sensitivity by more sophisticated measures, i.e., euglycemic clamps or frequently sampled intravenous glucose tolerance tests (FSIVGTTs), one (7) found IFG subjects not to be insulin resistant, whereas all three found IGT subjects to be insulin resistant. Furthermore, when subjects with isolated IFG and subjects with isolated IGT were compared with one another, two studies (3,7) found better insulin sensitivity in the former group, while one study (4) found similar insulin sensitivity in both groups.

Studies using HOMA of β-cell function (HOMA-%B) have universally found lower β-cell function in individuals with isolated IFG than in those with isolated IGT (6–8). However, of the eight studies using OGTTs or FSIVGTTs (3–10), only four studies found impaired insulin secretion in the IFG group (3–5,10) and only five found impaired insulin secretion in the IGT group (3–5,9,10). When subjects with isolated IFG were compared with subjects with isolated IGT, two studies found better β-cell function in IFG (9,10), one study found worse β-cell function in IFG (3), and three studies found similar β-cell function in both groups (4,6,7). Thus, regarding both insulin secretion and insulin sensitivity, previous studies have not yielded consistent differences between IFG and IGT subjects.

There are several possible explanations for the inconsistent findings, including differences in study populations (i.e., Pima Indians versus a triethnic population versus mostly Caucasians) and methodological differences (HOMAs versus OGTTs versus FSIVGTTs for evaluation of β-cell function and HOMAs versus FSIVGTTs versus euglycemic clamps for evaluation of insulin sensitivity) and limitations. For example, in studies using OGTTs and FSIVGTTs for evaluation of β-cell function (3–10), plasma insulin responses were not adjusted for differences in glycemic stimuli and/or insulin sensitivity (11). Furthermore, insulin release is biphasic (12), and decreases in first- and second-phase insulin release are considered to be important for IGT (13). Whether decreases in both phases are also involved in IFG has, however, not been examined.

The present study was therefore undertaken to compare the pathophysiology of IFG and IGT in a more comprehensive and standardized manner than has hitherto been done. To this end, we used the hyperglycemic clamp technique to determine first- and second-phase insulin responses, as well as insulin sensitivity, in a large number of subjects with isolated IFG or isolated IGT and in healthy subjects with normal glucose homeostasis.

RESEARCH DESIGN AND METHODS

From 1986 to 2005, data were systematically collected from all individuals not known to have type 2 diabetes (n = 402); these subjects underwent a standard OGTT, as recommended by the American Diabetes Association, and a hyperglycemic clamp, as described below. All subjects gave informed written consent after the protocol had been approved by local institutional review boards. All participants were in good health and had normal physical examinations and routine laboratory tests. None of the subjects were taking any medications known to affect glucose metabolism.

Subjects were divided into different categories based on fasting plasma glucose concentrations (mean of two measurements at least 1 week apart) and 2-h plasma glucose concentrations during the standard 75-g OGTT. IFG was defined as fasting plasma glucose concentrations between ≥100 and <126 mg/dl and IGT as 2-h postchallenge plasma glucose concentrations between ≥140 and <200 mg/dl (1). The data of subjects who had fasting plasma glucose concentrations ≥126 mg/dl or 2-h postprandial glucose concentrations ≥200 mg/dl (n = 37) were eliminated for the purpose of the present study. This stratification resulted in four different groups of subjects: normal fasting glucose (NFG)/NGT (n = 240), IFG/NGT (n = 21), NFG/IGT (n = 61), and IFG/IGT (n = 43). Of these subjects, 197 were studied in the U.S., 83 in Brazil, 30 in the Netherlands, 21 in Italy, 20 in Greece, and 14 in Finland. The results of some of these subjects have been included in previous reports (14–17).

For 3 days before the study, all subjects were on a weight-maintaining diet containing at least 200 g carbohydrate and had abstained from alcohol and strenuous exercise. Subjects were admitted to a clinical research unit the evening before the experiments and given a standard dinner (10 kcal/kg: 50% carbohydrate, 35% fat, and 15% protein) between 6:30 and 7:00 p.m. Apart from water ad lib, subjects fasted thereafter until the experiments were completed. The following morning, a dorsal hand vein was cannulated in a retrograde fashion and kept in a thermoregulated Plexiglass box at 65°C for sampling arterialized venous blood (18). An antecubital vein was cannulated for infusion of 20% glucose. After a 30-min baseline period, plasma glucose concentrations were increased to 180 mg/dl (10 mmol/l) and subsequently maintained at this level for 180 min using the glucose clamp technique (19). During the experiments, blood samples for plasma insulin determinations were obtained at −30, −15, 0, 2.5, 5, 7.5, 10, 20, 40, 60, 80, 100, 120, 140, 160, and 180 min.

Analytical procedures

Plasma glucose concentrations were determined by a glucose analyzer (YSI Glucose Analyzer; Yellow Springs Instruments, Yellow Springs, OH, or Beckman Glucose Analyzer; Beckman Coulter, Fullerton, CA). Plasma insulin concentrations were determined using human insulin–specific radioimmunoassays (Pharmacia Insulin RIA; Kabi Pharmacia Diagnostics, Piscataway, NJ, or Linco Insulin RIA; Linco Research, St. Charles, MO).

Calculations

Basal insulin secretion was assessed by HOMA-%B, which was calculated as (fasting plasma insulin [pmol/l] × 3.33)/(fasting plasma glucose [mmol/l] − 3.5) (20). First-phase insulin secretion was considered the average incremental plasma insulin concentration from 2.5 to 10 min of the hyperglycemic clamp divided by the average incremental plasma glucose concentration during the same interval. Second-phase insulin release was taken as the average incremental plasma insulin concentration during the last hour of the hyperglycemic clamp divided by the average incremental plasma glucose concentrations during the same interval. Insulin sensitivity was assessed by using HOMA-IR, calculated as (fasting plasma insulin [pmol/l] × fasting plasma glucose [mmol/l])/135 (20) and directly determined by dividing the average glucose infusion rate during the last hour of the hyperglycemic clamp by the average plasma insulin concentration during the same interval (referred to as the insulin sensitivity index [ISI]) (19). The ISI was multiplied by the ratio of 180 mg/dl to the actual plasma glucose concentration (in milligrams per deciliter) during the hyperglycemic clamp to account for small differences in glycemia. In healthy individuals with normal glucose homeostasis, a decrease in insulin sensitivity is fully compensated for by an increase in insulin secretion, so that the product of both of these processes, referred to as the disposition index (DI), remains constant (11). We therefore evaluated the appropriateness of β-cell function in relation to insulin sensitivity by calculating the DI of the first- and second-phase insulin response by multiplying the respective insulin responses by the ISI (11).

Statistical analyses

BMI, waist-to-hip ratio (WHR), fasting plasma insulin, HOMA-%B, HOMA-IR, first- and second-phase insulin responses, ISI, and the DIs were log transformed to obtain a normal distribution of the data for statistical analyses. Since our primary goal was to compare the pathophysiology of IFG and IGT, data were compared among the NFG/NGT, IFG/NGT, and NFG/IGT groups. Data of the IFG/IGT group were used to test for interaction between IFG and IGT. Continuous variables were compared among groups using ANOVA followed by the least-significant-difference test for variables for which the F test was significant; categorical variables, i.e., sex, were compared using the χ2 test. Metabolic parameters were compared among the NFG/NGT, IFG/NGT, and NFG/IGT groups with and without adjustments for age, sex, BMI, and WHR. Normally distributed variables are given as means ± SD. For skewed data, geometric means and 95% CIs are given. All analyses were conducted using SAS (version 9.1.2; SAS Institute, Cary, NC). P values <0.05 were considered statistically significant.

RESULTS

Age, sex, BMI, and WHR were significantly different among the NFG/NGT, IFG/NGT, and NFG/IGT groups, as indicated by ANOVA and χ2 tests (all P < 0.01). Compared with the NFG/NGT subjects (age 40.4 ± 11.8 years, n = 64 men and 176 women, BMI 25.9 kg/m2 [95% CI 25.5–26.4], and WHR 0.81 [0.80–0.82]), IFG/NGT (age 45.0 ± 9.7 years, P = 0.08) and NFG/IGT (age 47.0 ± 12.1 years, P < 0.0001) subjects were older, IFG/NGT (n = 11/10, P = 0.013) but not NFG/IGT (n = 20/41, P > 0.3) subjects had a greater male-to-female ratio, NFG/IGT (27.7 kg/m2 [26.5–28.9], P < 0.003) but not IFG/NGT (26.6 kg/m2 [25.1–28.2], P > 0.4) subjects had a greater BMI, and IFG/NGT (0.88 [0.85–0.91]) and NFG/IGT (0.85 [0.83–0.88]) subjects had a greater WHR (both P < 0.0001). None of the physical characteristics were, however, significantly different between the IFG/NGT and NFG/IGT groups.

Fasting glycemia and glucose tolerance

By definition, fasting plasma glucose concentrations were greater in the IFG/NGT group (5.82 ± 0.25 mmol/l) than in the NFG/NGT (4.89 ± 0.35) and NFG/IGT groups (5.16 ± 0.25) (both P < 0.0001), and 2-h postchallenge plasma glucose concentrations were greater in the NFG/IGT group (8.81 ± 0.80 mmol/l) than in the NFG/NGT (5.75 ± 1.05) and IFG/NGT groups (6.15 ± 1.17) (both P < 0.0001). Nevertheless, fasting plasma glucose concentrations were slightly but significantly greater in the NFG/IGT than the NFG/NGT group (P < 0.0001).

Hyperglycemic clamp

ANOVA indicated significant differences among the NFG/NGT, IFG/NGT, and NFG/IGT groups for HOMA-%B, first-phase plasma insulin response, second-phase plasma insulin response, ISI, both DIs (all P < 0.01), and HOMA-IR (P < 0.05). Baseline plasma insulin concentrations were not significantly different among the three groups despite the fasting hyperglycemia in the IFG/NGT subjects (Figs. 1 and Table 1).

Accordingly, compared with the NFG/NGT group, HOMA-%B was decreased ∼35% in the IFG/NGT group (P < 0.002), indicating impaired basal insulin secretion, but was not reduced in the NFG/IGT group (P > 0.5). HOMA-IR was significantly increased in the IFG/NGT group (by ∼30%, P < 0.05) but not the NFG/IGT group (P = 0.11) (Table 1).

During the hyperglycemic clamp, plasma glucose increased to comparable levels in all groups (P > 0.6) (Fig. 1). Compared with the NFG/NGT group, both the IFG/NGT and NFG/IGT groups had ∼30% reduced first-phase insulin responses (P < 0.018 and <0.0003, respectively). In contrast, NFG/IGT but not IFG/NGT subjects had significant decreases in second-phase insulin responses (by ∼30%, P < 0.0001) and the ISI (by ∼15%, P < 0.03) (Figs. 1 and Table 1). Accordingly, in IFG/NGT subjects, the DI of the first-phase insulin response was reduced ∼30% (P < 0.006) and the DI of the second-phase insulin response was normal (P > 0.4), whereas in NFG/IGT subjects, both DIs were reduced ∼40–50% (both P < 0.0001) (Table 1).

Adjustment for age, sex, BMI, and WHR had little influence on baseline plasma insulin concentrations, HOMA-%B, and first- and second-phase plasma insulin responses; therefore, the statistical results of these parameters remained similar (Table 2). Adjustment for age and sex also had little influence on HOMA-IR and the ISI (data not shown). However, after further adjustment for BMI and WHR, HOMA-IR (P > 0.5) and the ISI were no longer significantly different among the NFG/NGT, IFG/NGT, and NFG/IGT groups, suggesting that the differences in insulin sensitivity were largely due to differences in obesity.

Comparisons between the IFG/NGT and NFG/IGT groups and interaction between IFG and IGT

When subjects with isolated IFG and isolated IGT were compared with one another, the IFG group had greater reductions in basal β-cell function as assessed by HOMA-%B (∼−35 vs. −5%, P < 0.012), comparable reductions in first-phase insulin release (both ∼−30%, P > 0.9), and less reductions in second-phase insulin release (∼+10 vs. −30%, P < 0.005) and the DI of the second-phase insulin response (∼+8% vs. −45%, P < 0.0001). Differences in HOMA-IR, the ISI, and the DI of the first-phase insulin response did not reach statistical significance (Table 1). The statistical results remained similar after adjustment for age, sex, BMI, and WHR (Table 2).

There was no significant interaction between IFG and IGT (all P > 0.2), such that their associated defects in insulin secretion and action were additive in subjects with IFG/IGT (data not shown).

CONCLUSIONS

The present study was undertaken to compare the pathophysiology of IFG and IGT in a more comprehensive and standardized fashion than has hitherto been done by assessing basal insulin release and first- and second-phase insulin release, as well as insulin sensitivity, in a large number of individuals with isolated IFG, isolated IGT, or combined IFG and IGT and in healthy control subjects, using the hyperglycemic clamp technique. We found that 1) in isolated IFG, basal insulin secretion and glucose-stimulated first-phase insulin secretion are impaired but second-phase insulin secretion and (peripheral, mainly representing muscle) insulin sensitivity are normal; 2) in isolated IGT, basal insulin secretion is normal but glucose-stimulated first- and second-phase insulin secretion and (peripheral) insulin sensitivity are reduced; and 3) there is no significant interaction between IFG and IGT, such that their associated defects in insulin secretion and sensitivity are additive in individuals who have combined IFG and IGT. These results hence support previous suggestions (3–10) that IFG and IGT are distinct metabolic abnormalities.

Our findings are consistent with those from most but not all previous studies that insulin resistance, as assessed by FSIVGTTs or euglycemic clamps, plays a lesser role in IFG than IGT (3,4,7). In contrast, when evaluated by HOMA-IR, individuals with IFG were found to be at least similarly, if not more, insulin resistant than individuals with IGT in the present and most previous studies (3,5,6,8–10). These apparent contradictory findings may be due to a bias of HOMA-IR toward finding lower insulin sensitivity in individuals with IFG, since their increased fasting plasma glucose concentrations contribute to an increase in HOMA-IR. Alternatively, it is possible that HOMA-IR, FSIVGTTs, and euglycemic as well as the present hyperglycemic clamps measured different processes.

In the fasting state, insulin regulation of EGP is the major factor determining plasma glucose concentrations, since most tissue glucose uptake occurs by insulin-independent mechanisms (2). HOMA-IR, which is solely based on fasting plasma glucose and insulin concentrations, may therefore primarily be an index of the resistance of hepatic and renal glucose release to suppression by insulin (21), whereas the studies using FSIVGTTs or glucose clamp experiments (3,4,7) probably primarily measured the ability of insulin to stimulate muscle glucose uptake.

With respect to β-cell function, we found that basal insulin release was impaired in IFG but not IGT individuals, as indicated by the lack of increased plasma insulin concentrations despite fasting hyperglycemia and decreased HOMA-%B. This observation is consistent with all HOMA-%B data of earlier similar studies (6–8). In contrast to basal insulin release, first-phase insulin responses were comparably reduced in IFG and IGT in the present study, as has been found in one (4) but not the other (3) prior study using FSIVGTTs. Furthermore, we found that second-phase insulin responses were reduced in IGT but not IFG; this had not been previously examined.

Regarding the differences in pathophysiologies between IFG and IGT, our results indicate that decreases in first-phase insulin responses were not involved, as first-phase insulin responses were comparably reduced in both groups. The fact that basal insulin release was decreased in IFG but not IGT suggests that impaired basal insulin release may be an important element in the pathogenesis of IFG. Conversely, the fact that second-phase insulin responses were reduced in IGT but not IFG suggests that impaired second-phase insulin release may be an important element in the pathogenesis of IGT. Furthermore, our data indicate that there may be differences in hepatorenal and muscle insulin sensitivity between IFG and IGT that may be critical factors.

As mentioned above, HOMA-IR largely reflects resistance of glucose production by liver and kidney to suppression by insulin, whereas hyperglycemic clamp–determined insulin sensitivity largely reflects the sensitivity of muscle glucose uptake to stimulation by insulin (22). Our finding that in IFG, HOMA-IR was increased but hyperglycemic clamp–determined insulin sensitivity was not decreased lead us therefore to postulate that in IFG individuals, there may be selective or preferential hepatorenal insulin resistance. The observation that in overnight-fasted IFG Pima Indians, rates of EGP were increased despite increased plasma insulin concentrations supports this hypothesis (4). Conversely, our finding that in IGT, hyperglycemic clamp–determined insulin sensitivity was reduced but HOMA-IR was not increased suggests that in IGT individuals, there may be preferential insulin resistance in muscle.

Accordingly, considering the abnormalities in insulin sensitivity and β-cell function, the present study suggests that in IFG, reduced hepatorenal insulin sensitivity, combined with impairments in basal insulin secretion and first-phase insulin release, causes fasting hyperglycemia, whereas in IGT, peripheral insulin resistance, combined with impairments in first- and second-phase insulin responses, causes postprandial hyperglycemia. Expressed differently, normal or near-normal second-phase insulin responses and muscle insulin sensitivity may prevent IFG individuals from having postprandial hyperglycemia. In contrast, normal or near-normal basal insulin release and hepatorenal insulin sensitivity may prevent IGT individuals from having fasting hyperglycemia.

Figure 1—
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1—

Plasma concentrations of glucose and insulin during the hyperglycemic clamp in subjects with NGT (NFG/NGT), isolated IFG (IFG/NGT), or isolated IGT (NFG/IGT).

View this table:
  • View inline
  • View popup
Table 1—

Results from the hyperglycemic clamp test

View this table:
  • View inline
  • View popup
Table 2—

Results from the hyperglycemic clamp test, adjusted for age, sex, BMI, and WHR

Acknowledgments

The present work was supported in part by Division of Research Resources–General Clinical Research Center Grant 5M01 RR-00044, National Institute of Diabetes and Digestive and Kidney Diseases Grant DK-20411, and an American Diabetes Association Career Development Award to C.M.

We thank Becky Miller for her excellent editorial assistance and the nursing and laboratory staff for their superb help.

Footnotes

  • A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.

    • Accepted May 2, 2006.
    • Received February 24, 2006.
  • DIABETES CARE

References

  1. ↵
    The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus: Follow-up report on the diagnosis of diabetes mellitus. Diabetes Care 26: 3160–3167, 2003
    OpenUrlFREE Full Text
  2. ↵
    Dinneen S, Gerich J, Rizza R: Carbohydrate metabolism in noninsulin-dependent diabetes mellitus. N Engl J Med 327:707–713, 1992
    OpenUrlCrossRefPubMedWeb of Science
  3. ↵
    Festa A, D’Agostino RJ, Hanley A, Karter A, Saad M, Haffner S: Differences in insulin resistance in nondiabetic subjects with isolated impaired glucose tolerance or isolated impaired fasting glucose. Diabetes 53:1549–1555, 2004
    OpenUrlAbstract/FREE Full Text
  4. ↵
    Weyer C, Bogardus C, Pratley R: Metabolic characteristics of individuals with impaired fasting glucose and/or impaired glucose tolerance. Diabetes 48:2197–2203, 1999
    OpenUrlAbstract
  5. ↵
    Kim D, Lee M, Kim K, Lee M: Insulin secretory dysfunction and insulin resistance in the pathogenesis of Korean type 2 diabetes mellitus. Metabolism 50:590–593, 2001
    OpenUrlCrossRefPubMedWeb of Science
  6. ↵
    Davies M, Raymond N, Day J, Hales C, Burden A: Impaired glucose tolerance and fasting hyperglycaemia have different characteristics. Diabet Med 17:433–440, 2000
    OpenUrlCrossRefPubMedWeb of Science
  7. ↵
    Wasada T, Kuroki H, Katsumori K, Arii H, Sato A, Aoki K: Who are more insulin resistant, people with IFG or people with IGT? (Letter). Diabetologia 47:758–759, 2004
    OpenUrlPubMed
  8. ↵
    Snehalatha C, Ramachandran A, Sivasankari S, Satyavani K, Vijay V: Insulin secretion and action show differences in impaired fasting glucose and in impaired glucose tolerance in Asian Indians. Diabetes Metab Res Rev 19:329–332, 2003
    OpenUrlCrossRefPubMedWeb of Science
  9. ↵
    Tripathy D, Carlsson M, Almgren P, Isomaa B, Taskinen M, Tuomi T, Groop L: Insulin secretion and insulin sensitivity in relation to glucose tolerance: lessons from the Botnia Study. Diabetes 49:975–980, 2000
    OpenUrlAbstract
  10. ↵
    Hanefeld M, Koehler C, Fuecker K, Henkel E, Schaper F, Temelkova-Kurktschiev T: Insulin secretion and insulin sensitivity pattern is different in isolated impaired glucose tolerance and impaired fasting glucose: the risk factor in Impaired Glucose Tolerance for Atherosclerosis and Diabetes study. Diabetes Care 26:868–874, 2003
    OpenUrlAbstract/FREE Full Text
  11. ↵
    Kahn S, Prigeon R, McCulloch D, Boyko E, Bergman R, Schwartz M, Neifing J, Ward W, Beard J, Palmer J, Porte D Jr: Quantification of the relationship between insulin sensitivity and β-cell function in human subjects: evidence for a hyperbolic function. Diabetes 42:1663–1672, 1993
    OpenUrlAbstract/FREE Full Text
  12. ↵
    Del Prato S, Marchetti P, Bonadonna R: Phasic insulin release and metabolic regulation in type 2 diabetes. Diabetes 51 (Suppl. 1):S109–S116, 2002
    OpenUrl
  13. ↵
    Mitrakou A, Kelley D, Veneman T, Pangburn T, Reilly J, Gerich J: Role of reduced suppression of hepatic glucose output and diminished early insulin release in impaired glucose tolerance. N Engl J Med 326:22–29, 1992
    OpenUrlCrossRefPubMedWeb of Science
  14. ↵
    Pimenta W, Kortytkowski M, Mitrakou A, Jenssen T, Yki-Jarvinen H, Evron W, Dailey G, Gerich J: Pancreatic beta-cell dysfunction as the primary genetic lesion in NIDDM. JAMA 273:1855–1861, 1995
    OpenUrlCrossRefPubMedWeb of Science
  15. Pimenta W, Mitrakou A, Yki-Jarvinen H, Dailey G, Gerich J: Insulin secretion and insulin sensitivity in people with impaired glucose tolerance. Diabet Med 13:533–536, 1996
    OpenUrl
  16. Van Haeften TW, Pimenta W, Mitrakou A, Korytkowski M, Jenssen T, Yki-Järvinen H, Gerich JE: Relative contributions of b-cell function and tissue insulin sensitivity to fasting and postglucose-load glycemia. Metabolism 49:1318–1325, 2000
    OpenUrlCrossRefPubMedWeb of Science
  17. ↵
    Woerle HJ, Pimenta WP, Meyer C, Gosmanov NR, Szoke E, Szombathy T, Mitrakou A, Gerich JE: Diagnostic and therapeutic implications of relationships between fasting, 2-hour postchallenge plasma glucose and hemoglobin A1C values. Arch Int Med 164:1627–1632, 2004
    OpenUrlCrossRefPubMedWeb of Science
  18. ↵
    Abumrad N, Rabin D, Diamond M, Lacy W: Use of a heated superficial hand vein as an alternate site for the measurement of amino acid concentrations and for the study of glucose and alanine kinetics in man. Metabolism 30:936–940, 1981
    OpenUrlCrossRefPubMedWeb of Science
  19. ↵
    DeFronzo R, Tobin J, Andres R: Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol 237:E214–E223, 1979
  20. ↵
    Matthews D, Hosker J, Rudenski A, Naylor B, Treacher D, Turner R: Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28:412–419, 1985
    OpenUrlCrossRefPubMedWeb of Science
  21. ↵
    Meyer C, Dostou J, Nadkarni V, Gerich J: Effects of physiological hyperinsulinemia on systemic, renal and hepatic substrate metabolism. Am J Physiol 275:F915–F921, 1998
  22. ↵
    Bratusch-Marrain PR: [The euglycemic insulin and hyperglycemic clamp technic: methods for the determination of insulin sensitivity of tissues and glucose sensitivity of the B cell: a review.] Infusionsther Klin Ernahr 11:4–10, 1984 [article in German]
    OpenUrlPubMed
View Abstract
PreviousNext
Back to top
Diabetes Care: 29 (8)

In this Issue

August 2006, 29(8)
  • Table of Contents
  • About the Cover
  • Index by Author
Sign up to receive current issue alerts
View Selected Citations (0)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about Diabetes Care.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Different Mechanisms for Impaired Fasting Glucose and Impaired Postprandial Glucose Tolerance in Humans
(Your Name) has forwarded a page to you from Diabetes Care
(Your Name) thought you would like to see this page from the Diabetes Care web site.
Citation Tools
Different Mechanisms for Impaired Fasting Glucose and Impaired Postprandial Glucose Tolerance in Humans
Christian Meyer, Walkyria Pimenta, Hans J. Woerle, Timon Van Haeften, Ervin Szoke, Asimina Mitrakou, John Gerich
Diabetes Care Aug 2006, 29 (8) 1909-1914; DOI: 10.2337/dc06-0438

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Add to Selected Citations
Share

Different Mechanisms for Impaired Fasting Glucose and Impaired Postprandial Glucose Tolerance in Humans
Christian Meyer, Walkyria Pimenta, Hans J. Woerle, Timon Van Haeften, Ervin Szoke, Asimina Mitrakou, John Gerich
Diabetes Care Aug 2006, 29 (8) 1909-1914; DOI: 10.2337/dc06-0438
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • RESEARCH DESIGN AND METHODS
    • RESULTS
    • CONCLUSIONS
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Tables
  • Info & Metrics
  • PDF

Related Articles

Cited By...

More in this TOC Section

  • Prediabetes and Risk for Cardiovascular Disease by Hypertension Status in Black Adults: The Jackson Heart Study
  • Type 1 Diabetes Accelerates Progression of Coronary Artery Calcium Over the Menopausal Transition: The CACTI Study
  • Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk Score
Show more Cardiovascular and Metabolic Risk

Similar Articles

Navigate

  • Current Issue
  • Standards of Care Guidelines
  • Online Ahead of Print
  • Archives
  • Submit
  • Subscribe
  • Email Alerts
  • RSS Feeds

More Information

  • About the Journal
  • Instructions for Authors
  • Journal Policies
  • Reprints and Permissions
  • Advertising
  • Privacy Policy: ADA Journals
  • Copyright Notice/Public Access Policy
  • Contact Us

Other ADA Resources

  • Diabetes
  • Clinical Diabetes
  • Diabetes Spectrum
  • BMJ Open - Diabetes Research & Care
  • Standards of Medical Care in Diabetes
  • Scientific Sessions Abstracts
  • Professional Books
  • Diabetes Forecast

 

  • DiabetesJournals.org
  • Diabetes Core Update
  • ADA's DiabetesPro
  • ADA Member Directory
  • Diabetes.org

© 2019 by the American Diabetes Association. Diabetes Care Print ISSN: 0149-5992, Online ISSN: 1935-5548.