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The Journal of Clinical Endocrinology & Metabolism Vol. 85, No. 6 2275-2280
Copyright © 2000 by The Endocrine Society


Original Studies

Reduced Pancreatic B Cell Compensation to the Insulin Resistance of Aging: Impact on Proinsulin and Insulin Levels1

Michael E. Røder, Robert S. Schwartz, Ronald L. Prigeon and Steven E. Kahn

Divisions of Metabolism, Endocrinology, and Nutrition, and Gerontology and Geriatric Medicine (R.S.S.), Department of Medicine, Veterans Affairs Puget Sound Health Care System, Harborview Medical Center (R.S.S.), and University of Washington, Seattle, Washington 98108

Address all correspondence and requests for reprints to: Michael E. Røder, M.D., Department of Endocrinology F, University of Copenhagen, Hillerød Sygehus, Helsevej 2, DK-3400 Hillerød, Denmark. address: mir{at}dadlnet.dk


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Type 2 diabetes mellitus is associated with insulin resistance, reduced B cell function, and an increase in the proinsulin (PI) to immunoreactive insulin (IRI) ratio (PI/IRI); the latter is thought to be an indication of B cell dysfunction. Normal aging is associated with insulin resistance and reduced B cell function, but it is not known whether changes in PI and the PI/IRI ratio are also a feature of the aging-associated B cell dysfunction. Therefore, we tested whether the aging-associated changes in insulin sensitivity and B cell function result in changes in PI and IRI levels that are proportionate or whether they are disproportionate as in type 2 diabetes.

Twenty-six healthy older (mean ± SEM age, 67 ± 1 yr) and 22 younger (28 ± 1 yr) subjects with similar body mass indexes (27.9 ± 0.6 vs. 26.3 ± 1.0 kg/m2) were studied. PI was measured by a RIA recognizing both intact PI and its conversion intermediates. The insulin sensitivity index (SI) was quantified using the minimal model, and B cell function was measured as fasting insulin levels, the acute insulin response to glucose (AIRglucose), and as the acute insulin response to arginine at maximal glycemic potentiation (AIRmax). B cell function was also adjusted for SI based on the known hyperbolic relationship between these two variables.

Older and younger subjects had similar fasting glucose (5.3 ± 0.1 vs. 5.2 ± 0.1 mmol/L), IRI (83 ± 8 vs. 76 ± 9 pmol/L), PI (8.9 ± 0.8 vs. 10.6 ± 2.0 pmol/L), and PI/IRI ratio (12.3 ± 1.3% vs. 13.9 ± 1.6%; all P = NS) despite a 50% reduction of insulin sensitivity (SI, 1.94 ± 0.21 vs. 3.88 ± 0.38 x 10-5 min-1/pmol·L; P < 0.001) and in B cell function [SI x fasting IRI, 139 ± 18 vs. 244 ± 24 x 10-5 (P < 0.001); SI x AIRglucose, 0.75 ± 0.13 vs. 1.70 ± 0.15 x 10-2 min-1 (P < 0.001); SI x AIRmax, 3.63 ± 0.53 vs. 6.81 ± 0.70 x 10-2 min-1 (P < 0.001)] in the older subjects.

These findings suggest that the B cell dysfunction in older subjects is not associated with disproportionate proinsulinemia. However, in older subjects the B cell response to the insulin resistance of aging is reduced whether measured as fasting levels of PI or IRI or as the acute response to secretagogues. Thus, when examined in terms of the degree of insulin sensitivity, the lower fasting IRI levels in older subjects suggest that the utility of fasting insulin levels as a surrogate measure of insulin resistance in older individuals may be limited.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
THE DEVELOPMENT of glucose intolerance has been well established to be a part of the human aging process (1, 2, 3, 4). This change in glucose metabolism has been shown to be due to diminished sensitivity to insulin at its target tissues (5, 6, 7) and to inappropriately low pancreatic B cell function (7, 8). Both the prevalence and incidence rates of diabetes mellitus increase dramatically with age (9, 10), and elderly subjects share the B cell dysfunction and reduced insulin sensitivity that are characteristic of patients with type 2 diabetes resulting in disturbed glucose metabolism (11), although to a lesser degree.

It has been well established that immunoreactive insulin (IRI) and proinsulin (PI) levels increase with insulin resistance. In healthy subjects, this alteration occurs in parallel, so that the PI/IRI ratio (PI/IRI) does not change. However, in type 2 diabetes, changes in IRI and PI levels are disproportionate, so that an elevated PI/IRI results (12, 13, 14, 15, 16, 17). It has also been demonstrated that an elevated fasting PI/IRI predicts the subsequent development of type 2 diabetes (18, 19, 20, 21), with this change being present 5 (18) or even 20 (20) yr before development of the clinical syndrome. It has previously been suggested that an elevated PI and/or PI/IRI is an early indicator of B cell secretory insufficiency (22, 23), and recently, we demonstrated that the elevated PI/IRI in type 2 diabetes reflects the degree of impaired B cell secretory capacity (24). As aging is associated with many of the secretory alterations observed in type 2 diabetes, albeit to a lesser degree, it is uncertain whether the response of fasting PI and IRI to the aging-associated insulin resistance is parallel as in young individuals, or disproportionate, more akin to the changes observed in individuals with or at high risk of developing type 2 diabetes.

To assess this, we measured fasting PI and IRI levels, insulin sensitivity, and B cell function both as the acute ability of glucose to directly stimulate the pancreatic B cells to secrete insulin (AIRglucose) and as the ability of glucose to potentiate the B cell insulin response to arginine (AIRmax) in groups of apparently healthy young and older subjects. Using these data, we determined whether aging is associated with a disproportionate increase in PI relative to IRI and whether the relationship between insulin sensitivity and fasting PI and IRI levels was similar in young and older subjects. This analysis also allowed us to determine whether these fasting measures could be used as surrogate measures of insulin resistance in older subjects as they are in younger individuals.


    Subjects and Methods
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Subjects

Forty-eight healthy male subjects without any history of diabetes, cardiac, hepatic, or kidney disease were recruited from the general population. Two age groups were selected: a group of 22 younger subjects and a group of 26 older subjects. The mean ± SEM age (range) was 28.0 ± 1.1 (20–38) and 66.8 ± 1.0 (60–82) yr, respectively. Body mass indexes and fasting plasma glucose levels were not significantly different between the two groups (Table 1Go). All subjects had fasting plasma glucose levels below 7.0 mmol/L.


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Table 1. Basal characteristics and variables related to glucose metabolism in older and younger subjects

 
Protocol

The study protocol was approved by the human subjects review committee of the University of Washington, and written informed consent was obtained from all subjects before commencement of the study.

All subjects were studied on two separate occasions. On 1 day an iv glucose tolerance test (IVGTT) was performed, and on the other day an arginine stimulation test was performed. The 2 study days were separated by no more than 2 weeks. All studies were performed at the Special Studies Unit at the Veterans Affairs Puget Sound Health Care System in Seattle. Studies commenced between 0700–0900 h after a minimum of a 10-h fast, and subjects remained supine throughout the studies. Blood samples were drawn from a catheter placed in a forearm vein in one arm, and iv solutions were administered through a catheter in the opposite forearm. The arm from which the blood samples were drawn was wrapped in a heating pad to arterialize the samples.

Insulin sensitivity and glucose tolerance

The insulin sensitivity index (SI) was calculated using Bergman’s minimal model of glucose kinetics (25) and provides an estimate of the ability of insulin to enhance the effect of hyperglycemia on glucose disposal. This measure is obtained from modeling of glucose and insulin data from a frequently sampled, tolbutamide-modified IVGTT (26). In brief, the study comprised baseline sampling, injection of iv glucose (11.4 g/m2) at 0 min, and injection of tolbutamide (125 mg/m2; Orinase, Upjohn, Kalamazoo, MI) at 20 min. In total, 34 blood samples were drawn between 0 and 240 min for glucose and insulin measurements. The intrasubject coefficient of variation for SI at our institution is 17% (27). The glucose disappearance constant (Kg) was calculated as the slope of the least squares regression line relating the natural logarithm of the glucose concentration to time between 10 and 19 min of the IVGTT and provides a measure of iv glucose tolerance.

B cell function tests

Fasting insulin immunoreactivity was calculated as the average of two basal measures. The acute insulin responses to both glucose and a nonglucose secretagogue were quantified. The acute insulin response to glucose (AIRglucose) was calculated as the mean increment above basal from 2–10 min after the glucose bolus administered in the IVGTT. Assessment of the potentiating effect of glucose on the B cell response to a nonglucose secretagogue was performed by elevating the glucose levels to 25–30 mmol/L using a variable rate iv infusion of 10% dextrose. At 45 min, 5 g arginine (Ajinomoto, Los Angeles, CA) were administered iv. Samples for insulin measurements were taken at 2, 3, 4, and 5 min after arginine injection. The glucose level of 25–30 mmol/L was chosen to obtain the maximal glycemic potentiation of the insulin response to arginine (AIRmax), a measure of B cell secretory capacity (28). AIRmax was calculated as the mean increment (2–5 min) above the mean of two prestimulus values.

Assays

Plasma glucose concentrations were measured using a glucose oxidase method (Beckman Coulter, Inc., Palo Alto, CA). Plasma PI and insulin were measured by RIAs (29, 30). The PI RIA measures both intact PI as well as PI conversion intermediates with 100% efficiency (29) and has intra- and interassay coefficients of variation of 10% and 14%, respectively. The insulin RIA detects all insulin-like molecules, as the antibody used in this assay cross-reacts 100% with intact PI and its conversion intermediates (29, 30). The assay has intra- and interassay coefficients of variation of 5% and 8%, respectively. Thus, IRI refers to both insulin and PI-like molecules.

Calculations and statistics

All data are expressed as the mean ± SEM. Comparisons were performed using Student’s two-tailed t tests for unpaired data. The coefficient of determination (r2) represents the proportion of the total variation in the dependent variable that is explained by the fitted regression. Based on our previous observation (31), a hyperbolic relationship between SI and B cell function was assumed, such that the product of these variables is a constant. This hyperbolic relationship is nonlinear, heteroscedastic, and non-Gaussian. To allow analysis by nonweighted linear least squares regression, SI and B cell function measures were log transformed. Comparisons of the SI/B cell relationship between young and old groups was made using unpaired t tests on the y-intercept mean and SD. This analysis was also performed by bootstrap modeling using 100,000 iterations, and results were the same for all comparisons. Finally, a B cell function index that is adjusted for insulin sensitivity was obtained by calculating SI x fasting IRI, SI x AIRglucose, and SI x AIRmax. For all comparisons, P < 0.05 was considered significant.


    Results
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Variables related to glucose metabolism in the older (n = 26) and younger (n = 22) subject groups are shown in Table 1Go. The findings illustrate that the older cohort had characteristics typical of this age group. Thus, the SI was significantly reduced in the older subjects, being approximately 50% that in the younger subjects (P < 0.001). However, B cell function measured as fasting IRI, AIRglucose, or AIRmax did not increase appropriately in the older subjects to compensate for the degree of insulin resistance. This lack of adequate compensation was highlighted by the significantly lower products between SI and fasting IRI (43% lower), AIRglucose (56% lower), and AIRmax (47% lower) in the older than in the younger subjects (all P < 0.001). In accordance with these observations, the glucose disappearance rate (Kg) was significantly decreased in the older subjects (P < 0.001).

In keeping with our previous work (31), we found a highly significant relationship in the younger subjects between SI and AIRglucose, which was described by a hyperbolic function (r = -0.83; P < 0.001). A similar finding was made when AIRmax was evaluated relative to SI in the younger subjects (r = -0.66; P < 0.001). In the older subjects, the relationships were not statistically significant.

To determine whether aging is associated with a disproportionate increase in PI relative to IRI, we measured fasting PI and IRI levels and calculated the PI/IRI ratio. The individual values of fasting PI, IRI, and the PI/IRI ratio are shown in Fig. 1Go, A–C. No significant differences were observed between the two subject groups in any of these parameters. Fasting PI, IRI, and PI/IRI ratio in the older compared to the younger subjects were 8.9 ± 0.8 vs. 10.6 ± 2.0 pmol/L, 83.4 ± 8.1 vs. 75.5 ± 9.3 pmol/L, and 12.3 ± 1.3% vs. 13.9 ± 1.6%, respectively (all P = NS).



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Figure 1. A, Fasting PI concentrations as a function of age. B, Fasting IRI concentrations as a function of age. C, Fasting PI/IRI ratio as a function of age. Horizontal lines on each figure indicate mean values in the young and older groups.

 
As illustrated in Fig. 2Go, A and B, when we examined the relationship between insulin sensitivity and fasting PI and IRI levels we found these to be significantly correlated. As we have previously reported for IRI in individuals under the age of 45 yr (31), a hyperbolic fit was significant for SI and fasting IRI in the young and the older subjects (Fig. 2AGo). A similar observation was made for the relationship between SI and fasting PI (Fig. 2BGo). The degree of correlation between SI and fasting PI was similar to that of SI and fasting IRI (r = -0.47 vs. r = -0.51). The nonlinear nature of this relationship is supported by a greater hyperbolic than linear coefficient of determination (young subjects: linear, r2 = 0.29; hyperbolic, r2 = 0.40). The hyperbolic fits for SI and fasting IRI and PI were significantly different between the younger and older subjects (P < 0.001; Fig. 2Go, A and B). In the younger subjects the product of SI and IRI was 244 ± 24 x 10-5, whereas in the older subjects SI x IRI was significantly lower at 139 ± 18 x 10-5 (P < 0.001). The same was true for the product between SI and PI in younger subjects (SI x PI: young subjects, 32.5 ± 4.9 x 10-5; older subjects, 14.8 ± 1.2 x 10-5; P < 0.001). Thus, at a given SI, the fasting IRI and PI levels would be expected to be lower in the older than in the young subjects.



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Figure 2. A, Fasting IRI concentrations as a function of the SI in young (•) and older ({circ}) subjects. The relationships shown are nonlinear functions [young: r = -0.70; P < 0.001 (solid line); old: r = -0.45; P < 0.05 (dashed line)]. The fitted functions for young vs. old subjects are significantly different (P < 0.001) based on an analysis of the y-intercept mean and SD after log transformation of the data. B, Fasting PI concentrations as a function of the SI in younger (•) and older ({circ}) subjects. The relationships shown are nonlinear functions [young: r = -0.63; P < 0.001 (solid line); old: r = -0.51; P < 0.01 (dashed line)]. The fitted functions for young vs. old subjects were significantly different (P < 0.001) based on an analysis of the y-intercept mean and SD after log transformation of the data. C, Fasting PI/IRI ratio as a function of the SI in younger (•) and older ({circ}) subjects. There was no significant relationship between the two parameters.

 
In contrast, no significant relationship was found between SI and fasting PI/IRI ratio in the younger (r = -0.12; P = 0.6) or the older (r = 0.26; P = 0.2) subject groups (Fig. 2CGo). Furthermore, whether analyzed in the two groups separately or in all subjects together, no significant relationships were found between fasting PI/IRI and AIRglucose (young: r = -0.23; P = 0.3; old: r = -0.18; P = 0.3), AIRmax (young: r = 0.21; P = 0.3; old: r = -0.26; P = 0.2), SI x AIRglucose (young: r = -0.27; P = 0.2; old: r = -0.14; P = 0.4), or SI x AIRmax (young: r = 0.05; P = 0.8; old: r = -0.14; P = 0.5).


    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
The present study is compatible with previous findings (5, 6, 7) that peripheral insulin sensitivity and islet B cell function are reduced in otherwise healthy older subjects. Patients with type 2 diabetes also manifest insulin resistance and islet B cell dysfunction as well as an increase in the fasting PI concentrations and in the proportion of insulin-like molecules comprised of PI (PI/IRI ratio) (12, 13, 14, 15, 32). In contrast to type 2 diabetes, in the present study we found that the fasting PI/IRI ratio is not different in older and younger subjects. Although this difference from type 2 diabetes may be ascribed to differences in glycemia, it should be recognized that an elevated fasting PI/IRI has been observed in subjects with normal fasting glucose levels who later present with type 2 diabetes and those who are at high risk, including older subjects who progress to develop diabetes (18, 19, 20, 21, 33). Thus, the unchanged PI/IRI ratio in our older group suggests the possibility of a difference in the nature of the reduction in B cell function between aging and type 2 diabetes.

Our findings differ from those reported by Duckworth et al. (34), who used an insulin protease method to separate PI from insulin immunoreactivity and found an aging-associated increase in the percentage of the PI-like component after oral glucose ingestion. The observation could be due to clearance differences (35) or methodological difficulties. It may also be explained by a greater impairment of carbohydrate metabolism in the elderly in that study or that some of their subjects were, in fact, prediabetic. In a more recent study of older Japanese subjects, elevated PI and PI/IRI ratios were found (36) despite normal glucose tolerance. A difference in PI levels between different ethnic groups (Asian and Caucasian) with normoglycemia has previously been observed (37) and might explain the difference from our study. Another difference between our study and that in the Japanese subjects is that the PI assay used in the Japanese study (36), in contrast to that which we used (29), does not measure des(31, 32)-PI, which is known to be a major contributor to plasma PI immunoreactivity (38, 39).

In the present study we observed that B cell function is reduced in older subjects when the degree of insulin sensitivity is taken into account (decreased SI x AIRglucose and SI x AIRmax). This confirms other reports that the compensatory ability of B cell function is reduced in older subjects (7, 8) and is in keeping with our recent observation that the release of the B cell peptide amylin is reduced in older subjects (40).

In order that our older subjects would be representative of typical nondiabetic subjects in this age category, we examined a cohort selected that did not meet the fasting glucose criteria for diabetes. Thus, it is possible that some subjects would have had impaired glucose tolerance or even mild diabetes based on the 120 min glucose value on an oral glucose tolerance test, and a proportion may have subsequently progressed to clinical diabetes. These subjects may be those with the highest PI/IRI ratios, but as we did not determine oral glucose tolerance status or follow the subjects longitudinally, we were unable to make this determination. However, we did not observe a relationship between either fasting PI or the PI/IRI ratio and iv glucose tolerance measured as Kg (data not shown), suggesting that glucose tolerance was not a determinant of these measures in this cohort.

The product of SI and IRI was significantly lower in the older subjects than in the young, and the hyperbolic fit for the relation between SI and IRI was significantly different between the younger and older subjects. Although it is well known that insulin sensitivity and fasting insulin are inversely related, and this relationship is hyperbolic in nature (31), the present data suggest that although aging does not affect the inverse nature of this relationship, it appears to change the quantitative interaction. Thus, although compensation of fasting IRI does occur in older subjects, the magnitude of this effect on the B cell differs between old and young subjects. Data from studies by others (5, 36, 41) also support an independent effect of age on fasting insulin levels, as fasting IRI in those studies was similar in young and older subjects despite the fact that the older subjects were more insulin resistant (5, 6, 7). This observation of a change in the quantitative nature of the relationship between insulin sensitivity and fasting insulin strongly suggests that caution must be employed when interpreting insulin levels as a surrogate measure of insulin resistance in groups of subjects who differ by age.

As observed with IRI, SI and fasting PI were inversely correlated, compatible with PI levels increasing in compensation for a reduction in insulin sensitivity. This relationship between SI and PI was also hyperbolic in nature. Thus, fasting PI levels seem to reflect the degree of insulin resistance in normoglycemic subjects. This observation is in accord with a recent study demonstrating a relationship between insulin-mediated glucose disposal (measured as the steady state plasma glucose concentration during a somatostatin, insulin, and glucose infusion) and PI in middle-aged subjects with normal and impaired glucose tolerances (16). It is also worth noting that this increase in fasting PI with insulin resistance is in keeping with our previous observations in Pima Indians and Japanese Americans that PI levels increase with increasing obesity (13, 15). In our study of Japanese Americans, we found this relationship between fasting PI levels and obesity whether the latter was determined as body mass index or as intraabdominal fat area. Although body fat distribution is a known determinant of insulin sensitivity, and the degree of central adiposity increases with age (42), we do not believe our findings would have differed if we had selected subjects for the present study based on intraabdominal fat area rather than body mass index.

In contrast to the observation of a hyperbolic relationship between SI and PI, we found no correlation between SI and the PI/IRI ratio (even when younger and older subjects were analyzed separately), suggesting that the processing of proinsulin to insulin is not affected by the variations in insulin demand. Further, we found that the PI/IRI ratio was not different in the older subjects when they were insulin resistant. This observation of no change in the PI/IRI ratio with insulin resistance is in keeping with our previous work and that of others suggesting that increased B cell secretory demand alone is not sufficient to produce disproportionately elevated PI levels. In two of our previous reports, we found a slight decrease in this measure when nicotinic acid was used to induce experimental insulin resistance (43, 44). An unchanged PI/IRI ratio has also been observed in insulin-resistant nonobese subjects (16), in subjects with the severe congenital insulin resistance syndrome (45), and in obese subjects with moderate insulin resistance (17). In keeping with these observations regarding the effect of insulin resistance, a study of a large cohort of subjects observed a weak positive correlation between SI and PI/IRI in middle-aged individuals (46). In contrast, this same group of investigators reported an increased PI/IRI associated with features of the insulin resistance syndrome (hypertension, low high density lipoprotein cholesterol, high triglycerides, and impaired glucose tolerance), but in this instance they did not measure insulin sensitivity directly so it is unclear whether this measure differed (47). If these subjects were,in fact, more insulin resistant, it is possible that the apparent difference in the findings in the two reports by these investigators may be the result of differences in the population samples.

In conclusion, insulin resistance and reduced compensation in B cell function was observed in this group of older nonhyperglycemic subjects, but disproportionate hyperproinsulinemia, as found in type 2 diabetes, was not observed. Furthermore, the fasting insulin level was not a comparable index of insulin sensitivity when this group of older subjects was compared with younger subjects with comparable fasting glucose levels and body adiposity.


    Acknowledgments
 
We thank Ruth Hollingworth, Suzanne Barsness, Jira Wade, and Vicki Hoagland for help performing the studies and for assaying the samples. Dr. Daniel Porte, Jr., is thanked for his critical input to the study and the manuscript.


    Footnotes
 
1 This work was supported by the Department of Veterans Affairs; the American Diabetes Association; the Danish Medical Research Council; NIH Grants DK-02654, DK-12829, DK-17047, and AG-08673; and the Bernhard and Marie Klein Foundation. Back

Received August 3, 1999.

Revised January 19, 2000.

Accepted February 15, 2000.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 

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