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Department of Medicine, Lund University (H.L., G.B.), Malmö, Sweden; and Department of Medicine, Lund University (B.A.), SE-221 84 Lund, Sweden
Address all correspondence and requests for reprints to: Dr. Bo Ahrén, Department of Medicine, Lund University, B11 BMC, SE-221 84 Lund, Sweden. E-mail: bo.ahren{at}med.lu.se.
| Abstract |
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| Introduction |
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The contribution of insulin resistance to cardiovascular disease has been inferred from a study using the euglycemic, hyperinsulinemic clamp test for evaluating insulin sensitivity, showing that subjects with fully developed carotid plaques have lower insulin sensitivity than subjects without plaques (13). Fully developed plaques are, however, late manifestations of the atherosclerotic process, and this study can therefore not establish any causal relationship. Recent technological development has made it possible to determine early signs of atherosclerosis by B-mode ultrasonography of the carotid arteries for assessing the intima-media thickness (IMT) (14, 15, 16, 17, 18, 19). This technique has been validated against histological specimens of carotid artery (14, 15, 16), and several studies have reported that IMT is associated with known risk factors for coronary atherosclerosis (17, 18, 19). This technique has been used for studies of the potential association between insulin resistance and early development of atherosclerosis. Such studies have, however, been conflicting. This is partially explained by the methodology of determining insulin resistance or by the heterogeneous populations studied, also including subjects with type 2 diabetes. Thus, only indirect measurements of insulin resistance have been undertaken, such as fasting or postchallenge insulin levels, or indexes based on glucose-insulin relationships in plasma, such as quantitative insulin sensitivity check index (QUICKI) and homeostasis model assessment method (HOMA). Some of these studies have shown an association between insulin resistance and cardiovascular diseases (20, 21, 22), whereas others have failed to observed any association between insulin resistance and IMT (23, 24, 25). Yet another study, using the insulin sensitivity index obtained during an iv glucose tolerance test as a measure of insulin sensitivity, found a correlation between insulin resistance and IMT in Hispanics and non-Hispanic whites, but not in blacks, although the association was partially mediated by traditional cardiovascular risk factors (26).
To establish whether insulin sensitivity is associated with IMT, i.e. the early manifestation of atherosclerosis, by using adequate technology and avoiding the confounding factor of fully developed type 2 diabetes, we have assessed carotid IMT by ultrasonography in nondiabetic postmenopausal women in whom we also determined insulin sensitivity by the euglycemic hyperinsulinemic clamp test. Furthermore, we have established insulin secretion in these women by an iv arginine challenge and glucose tolerance by a standardized 75-g oral glucose tolerance test (OGTT). Finally, to examine whether insulin sensitivity, insulin secretion, and glucose tolerance would predict future development of atherosclerosis, we performed a follow-up after 5 yr and related the change in IMT to the baseline measurements of these variables.
| Subjects and Methods |
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In 19931994 a prospective 5-yr study in postmenopausal women was initiated, using ultrasound of the right and common carotid arteries to quantify early signs of atherosclerosis (IMT). The ultrasound findings were related to glucose tolerance, insulin sensitivity, insulin secretion, and clinical characteristics of the study subjects. Glucose tolerance was determined by an OGTT, and insulin sensitivity was measured using the euglycemic, hyperinsulinemic clamp. Insulin secretion was evaluated as the acute (25 min) insulin response to iv arginine. Follow-up examinations of ultrasound measurements were performed after 5 yr. Studies were performed in the morning after an overnight fast. The study was approved by the ethics committee at Lund University. The nature and purpose of the study were explained in detail to all participants, and written informed consent was obtained from all subjects before the study.
Subjects
One hundred and eight nondiabetic women were enrolled in the prospective study. The women were randomly selected from a larger cohort of 841 postmenopausal women born in 1935 living in the city of Malmö, Sweden, who had previously participated in a health screening (19901991), which included an OGTT (27). The selection procedure was based on the 2-h blood glucose (BG) value after a standard WHO 75-g OGTT. Women with 2-h BG below 11.1 mmol/liter were stratified so that all degrees of glucose tolerance from normal glucose tolerance (NGT; 2-h BG, <7.8 mmol/liter) to IGT (2-h BG,
7.8 and <11.1 mmol/liter) were represented, whereas no case of diabetes was included. None of the women included in the study was taking any medication known to affect carbohydrate metabolism. There were nine subjects taking lipid-lowering statins. Subjects with known cardiovascular disease, such as previous myocardial infarction, angina, or stroke, were excluded from the study. Of the 108 women, 84 participated in the 5-yr follow-up. The 24 women who did not participate in the follow-up did not differ from the 84 participants in baseline body weight or body mass index (BMI), glucose tolerance, insulin sensitivity, insulin secretion, or ultrasound-determined variables. This paper presents data on the 84 women who participated in both baseline and follow-up examinations.
Anthropometric measurements
All measurements were performed with the subjects in light clothing without shoes. Body weight was measured to the nearest 0.1 kg in the morning before breakfast. Height was measured to the nearest centimeter. Both body weight and height were measured on two separate occasions. BMI was then calculated as the weight (kilograms) divided by height (meters) squared for each separate measurement, and the mean BMI was calculated.
Glucose tolerance
Oral glucose tolerance was determined with a standard WHO 75-g glucose load, with samples taken before and 2 h after the glucose load. The subjects spent the 2 h in a semirecumbent position.
Insulin sensitivity
Insulin sensitivity was determined with the euglycemic, hyperinsulinemic clamp, performed according to DeFronzo et al. (28). Intravenous catheters were inserted into antecubital veins in both arms. One arm was used for infusion of glucose and insulin. The contralateral arm was used for intermittent sampling, and the catheter was kept patent with a slow infusion of 0.9% saline. Baseline samples of glucose and insulin were taken. A primed constant infusion of insulin (100 U/ml; Actrapid, Novo Nordisk, Bagsvaerd, Denmark) with a constant infusion rate of 0.28 nmol/m2 body surface area·min was started. After 4 min, a variable rate 20% glucose infusion was added, and its infusion rate was adjusted manually throughout the clamp procedure to maintain the blood glucose level at 5.0 mmol/liter. Blood glucose was determined at the bedside every 5 min. Samples for analysis of the achieved insulin concentration were taken at 60 and 120 min.
Insulin secretion
Insulin secretion was determined as the acute (25 min) insulin response to iv arginine (5 g) after an overnight fast. Intravenous catheters were inserted into antecubital veins in both arms. After obtaining two baseline samples at -5 and -2 min, a maximally stimulating dose of arginine hydrochloride (5 g) was injected iv over 45 sec, and new samples were taken at 2, 3, 4, and 5 min.
Carotid artery ultrasound
The right carotid artery was investigated using a 128 Computed Sonography System (Acuson, Mountain View, CA) with a 7-MHz transducer, for determination of IMT. The methods have been described in detail previously (29). Briefly, the examinations and image analyses were performed by specially trained sonographers who were certified after completion of an extensive training program. The extent of early atherosclerotic lesions was determined off-line in the far wall of the distal common carotid artery (CCA) using the leading edge principle to determine the IMT, with a specially designed computer-assisted image analyzing system. The mean CCA IMT was measured 1 cm proximal to the bifurcation, and the maximal IMT was measured in the carotid bifurcation. The measurement of IMT included plaque, if it was localized to the defined area. The presence of late atherosclerotic lesions was determined by scanning the artery with a window consisting of 3 cm of the distal CCA, the carotid bulb, and 1 cm each of the internal and external carotid arteries. A plaque was defined as a discernable focal thickening of the artery wall exceeding 1.2 mm. When a plaque was present, the degree of CCA stenosis was determined after measuring the blood flow velocity at the location of maximum lumen reduction. Furthermore, in each subject a plaque score was calculated: 0, no plaques; 1, one plaque less than 10 mm2; 2, one plaque 10 mm2 or more; 3, one circumferential or two plaques; and 4, more than two plaques (30). In the case of unaltered blood flow velocity, the degree of stenosis was estimated by "eye-balling" the plaque protrusion into the lumen (maximum, 30%). The intra- and interobserver variability of this method in our laboratory is less than 10% (16).
Biochemical analyses
The BG concentration was determined at the bedside by the glucose dehydrogenase technique with a Hemocue (Hemocue AB, Ängelholm, Sweden) during the hyperinsulinemic, euglycemic clamp. Blood samples for analysis of insulin and glucose from the arginine studies, of insulin from the clamp studies, and of glucose from the OGTT were immediately centrifuged at 5 C, and serum or plasma was frozen at -20 C until analysis in duplicate. Serum insulin concentrations were analyzed using a double-antibody RIA technique with guinea pig antihuman insulin antibodies, human insulin standard, and mono-[125I-Tyr]human insulin (Linco Research, Inc., St. Charles, MO). The assay was specific for insulin, with no cross-reactivity (<0.2%) with intact proinsulin or des-31,32-proinsulin. The intra- and interassay coefficients of variation of the insulin assay were less than 3%.
Calculations and statistics
Data are presented as the mean ± SD unless otherwise noted. For calculation of insulin sensitivity, a steady state condition was assumed during the second hour of the clamp, and insulin sensitivity (nanomoles of glucose per kilogram of body weight per minute/picomoles of insulin per liter) was taken as the glucose infusion rate during the second hour of the clamp divided by the measured mean insulin concentration during the second hour of the clamp. For calculation of insulin secretion, the acute insulin response to arginine was calculated as the mean of the 2- to 5-min samples minus the mean prestimulus hormone concentration. Statistical analyses were performed with the SPSS for Windows system (SPSS, Inc., Chicago, IL), and differences between groups were tested with t test for unrelated samples, whereas differences between baseline and follow-up within groups were tested with t test for related samples. The difference in frequency of a condition between baseline and follow-up was assessed using the
2 test. Two-sided tests were used, and P <0.05 was considered statistically significant. Pearsons product-moment correlation coefficients were obtained to estimate linear correlation between variables. Linear multiple regression was used to assess the independent effect of several variables on mean CCA IMT and maximal bifurcation IMT. The stepwise forward method was used. Finally, the Kolmogorov-Smirnov test was used to test for normality of distribution.
| Results |
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An additional analysis of correlation coefficients was carried out to study the relation between baseline variables and the change in IMTs over the 5-yr study period (i.e. IMT at the 5-yr follow-up minus the IMT at baseline divided by the follow-up time), as shown in Tables 3
and 4
. It was found that the progression rate of CCA IMT correlated to baseline systolic blood pressure (r = 0.26; P = 0.048) and LDL cholesterol (r = 0.29; P = 0.042), but not to the other variables, including insulin sensitivity (r = 0.062; P = 0.59) or baseline mean CCA IMT (r = 0.10; P = 0.24). Similarly, the 5-yr progression rate of maximal bifurcation IMT correlated significantly to systolic blood pressure (r = 0.21; P = 0.042) and LDL cholesterol (r = 0.29; P = 0.039), but not to the other variables, including insulin sensitivity (r = -0.035; P = 0.78) or baseline maximal bifurcation IMT (r = 0.18; P = 0.074). Furthermore, a multivariate regression analysis showed that both systolic blood pressure and LDL cholesterol at baseline were independent predictors of the progression of IMTs (Table 6
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| Discussion |
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Our main purpose with this study was to examine whether insulin sensitivity, as determined by the gold standard technique, euglycemic, hyperinsulinemic clamp, could predict the changes in IMT in this population of nondiabetic subjects. Previous studies of the relation between insulin resistance and IMT have usually been cross-sectional. Moreover, they have used indirect measures of insulin sensitivity, such as fasting or postchallenge insulin levels, or simple indexes based on glucose and insulin levels at steady state, for example, QUICKI and HOMA. These studies have yielded conflicting results, reporting both a relation between insulin resistance and IMT (20, 21, 22) and no relation in nondiabetic subjects (23, 24, 25). We confirm by the gold standard technique that there is no clear association between insulin sensitivity and IMT in nondiabetic subjects, and furthermore, we establish this both in the cross-sectional study at baseline and in the prospective, follow-up study after 5 yr. We obtained similar results when using both mean CCA IMT and maximal bifurcation IMT as the marker for early atherosclerosis. This suggests that the early atherogenic events are not induced by insulin resistance. This, in turn, suggests that the association between IMT and deterioration of glucose tolerance in type 2 diabetes is caused by other factors associated with the disease, such as other cardiovascular risk factors and hyperglycemia, which is also inferred from previous studies (5, 6, 21, 24, 31). It may be argued that our study population was too small to detect any association with IMT. However, as the range in insulin sensitivity was more than 15-fold, the ranges in the two IMT measurements were more than 3-fold, and all measurers were normally distributed, the probability of missing a significant association is less than 1% when r values of the correlations were less than 0.06. The lack of regression between insulin sensitivity and mean CCA IMT is also evident by plotting the regression, as performed in Fig. 2
. In our study we measured IMT of the CCA and bifurcation only and not in the internal carotid artery. This was because earlier studies have shown that there is no difference in results when using IMT of the CCA vs. internal carotid artery in relation to insulin sensitivity or type 2 diabetes (32, 33). Hence, it seems sufficient to rely on results from IMT measurements of either CCA or internal carotid artery when studying associations between atherosclerosis and those variables.
One recent cross-sectional study found a gender influence on the correlation between insulin resistance and IMT in approximately 200 subjects, as the association was evident in males, but not in females (22). That study used indexes for determination of insulin resistance (QUICKI and HOMA) and also included diabetic subjects in the analyses. Nevertheless, despite these differences between that study and the present, they seem to confirm that in females no association is evident between IMT and insulin resistance. Other previous studies have also shown that gender is associated with IMT (20, 21), and this corroborates the finding that the excess cardiovascular risk for women is more related to mortality from heart disease rather than an increased incidence of atherosclerosis (34). It is thus possible that gender differences may explain differences in results between different studies, although it should also be emphasized that the relation in males was weak, with an r value of only 0.15 (22).
A study using the insulin sensitivity index obtained during an iv glucose tolerance test for measurement of insulin sensitivity has found an association between insulin resistance and IMT in Hispanic and non-Hispanic whites, but not in blacks (26). This association was markedly reduced, however, by including confounding factors in the analysis, such as lipid levels, blood pressure, glucose tolerance, and degree of adiposity. Although the relation remained significant after adjustment for these variables, the independent association between insulin resistance and IMT was weak. This is in line with the findings of the present study that, if anything, insulin resistance only marginally contributes to IMT independently of its association with other factors.
Insulin sensitivity is intimately associated with insulin secretion, such that insulin resistance is compensated by an increased insulin secretion (7, 35, 36), and if this compensation fails, type 2 diabetes develops. Defective insulin secretion is therefore an important contributor to the development of type 2 diabetes. In this study we also evaluated whether insulin secretion relates to IMT by performing an iv arginine challenge after an overnight fast and measuring the insulin response. However, we found no association between insulin secretion and IMT. We also found no association between fasting or 2-h glucose values and baseline IMT or change in IMT in this population of nondiabetic subjects, which supports previous reports that the association between atherosclerosis and glucose intolerance is seen mainly in diabetic subjects (31). Within groups of near-normal glucose tolerance, therefore, factors other than fasting and postprandial glucose are of greater importance for the early atherogenic events. This does not exclude, however, major contribution of glucose levels to the development of atherosclerosis at later stages (37).
As demonstrated in several previous studies (22, 24, 26), we found a strong association between blood pressure and IMT. This association was seen in the baseline study, and the baseline blood pressure also independently predicted the progression of IMT. We thereby confirm the finding by Hedblad et al. (24) that hypertension is the strongest predictor of IMT in nondiabetic subjects. We also found that LDL cholesterol independently predicted at both baseline and follow-up IMT, which also supports previous studies (24). In fact, in our study only blood pressure and LDL cholesterol remained significant in association with IMT after adjustment for other factors. These two factors to date override any influence of insulin resistance for IMT in nondiabetic subjects.
As the measurement of IMT in our study was repeated after 5 yr, we could also estimate the association of the various risk factors for the progression of atherosclerosis over this period of time. We then found that the same risk factors that correlated to baseline IMT also correlated to the progression rate of IMT. Nevertheless, the baseline wall thickness did not significantly correlate to the progression rate, although there was a significant correlation between baseline and follow-up IMT (r = 0.81; P < 0.001 for mean CCA IMT and r = 0.61; P < 0.001 for maximal bifurcation IMT). As insulin sensitivity or secretion did not relate to the progression of IMT in this population of nondiabetic subjects, the results of the follow-up study further emphasize that in the early stages of development of diabetes, events other than insulin resistance or secretion are more important for IMT.
In conclusion, we used the euglycemic hyperinsulinemic clamp technique for evaluating insulin sensitivity and B-mode ultrasonography of the right carotid artery for measuring IMT as a sign of early atherogenic changes in 84 nondiabetic postmenopausal women, all aged 58 yr, and we repeated the ultrasonography after 5 yr. We found no independent relation between insulin sensitivity and IMT, whereas we found strong associations between IMT and blood pressure as well as LDL cholesterol. We also did not find any association between IMT and insulin secretion or glucose intolerance. Our results therefore suggest that blood pressure and LDL cholesterol override insulin resistance as a risk marker for early atherogenic events in nondiabetic subjects.
| Acknowledgments |
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| Footnotes |
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Abbreviations: BG, Blood glucose; BMI, body mass index; CCA, common carotid artery; HOMA, homeostasis model assessment method; IGT, impaired glucose tolerance; IMT, intima-media thickness; LDL, low-density lipoprotein; NGT, normal glucose tolerance; OGTT, oral glucose tolerance test; QUICK1, quantitative insulin sensitivity check index.
Received February 26, 2003.
Accepted July 14, 2003.
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