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Original Studies |
Stanford University School of Medicine, Stanford, California 94305; Geriatric Research, Education, and Clinical Center, Veterans Administration Palo Alto Health Care System, Palo Alto, California 94304; and Shaman Pharmaceuticals, Inc., South San Francisco, California 94080
Address all correspondence and requests for reprints to: Gerald M. Reaven, M.D., Shaman Pharmaceuticals, Inc., 213 East Grand Avenue, South San Francisco, California 94080-4812. E-mail: greaven{at}shaman.com
| Abstract |
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| Introduction |
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| Subjects and Methods |
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All measurements were performed at the General Clinical Research Center (GCRC) of Stanford Medical Center. Volunteers were admitted to the GCRC the evening before baseline studies were performed. Weight was determined without shoes in light clothing with an electronic scale. Body mass index was calculated as weight (in kilograms) divided by height (in meters) squared. Body density was determined by underwater weighing after a 12-h fast, and body fat mass and percent were computed according to the equations of Siri (8). Resistance to insulin-mediated glucose uptake was determined by a modification (9) of the insulin suppression test as initially described by our laboratory (10, 11). Each volunteer received a continuous iv infusion of somatostatin (5 µg/min) to suppress endogenous insulin secretion. Simultaneously, insulin and glucose were infused at rates of 25 and 240 mg/m2/min, respectively. Blood was sampled for measurement of plasma glucose (12) and insulin (13) concentrations every 30 min for the first 150 min and then every 10 min until 180 min had elapsed. The mean value of the four measurements made during the last 30 min of the test was used to calculate the steady state plasma insulin (SSPI) and the steady state plasma glucose (SSPG) concentrations. As SSPI is relatively similar in all individuals, SSPG provides a measurement of insulin-mediated glucose uptake: the higher the SSPG, the more insulin resistant the research subject. On the same day, fasting blood samples for measurement of plasma leptin concentrations were collected in ethylenediamine tetraacetate tubes and immediately centrifuged, and the plasma was stored at -70 C. These samples were not thawed until leptin concentrations were measured by a commercial RIA (Linco Research, Inc., St. Louis, MO). The following day, research subjects underwent a meal tolerance test.
Each volunteer received an 8-h meal tolerance test before and after weight loss. The meal tolerance test is composed of two meals: breakfast, served immediately after fasting blood samples are drawn at approximately 0800 h, and lunch, served 4 h after breakfast. The macronutrient composition of the isocaloric breakfast and lunch was 43% carbohydrate, 15% protein, and 42% fat; breakfast met 20% and lunch met 40% of the individuals daily caloric requirement. During the 8-h test, blood was withdrawn at hourly intervals. After separation, aliquots of plasma were stored frozen for measurement of glucose and insulin concentrations. The total integrated area of the plasma concentrations during this 8-h period was used to quantify plasma insulin response by the trapezoidal method.
Weight loss began the day after the first meal tolerance test. The Harris-Benedict equation (14) was used to determine each volunteers total caloric requirement (basal energy expenditure x 1.5). One thousand calories was subtracted from their total caloric requirement to determine daily caloric intake during the weight loss phase of the study. No one received less than 1200 Cal/day. A commercial canned liquid nutritional formula plus two high fiber muffins per day was the diet for 9 weeks. Each volunteer came into the GCRC on Monday and Thursday for measurement of body weight and to pick up their liquid nutritional formula and fiber muffins.
At the end of the weight loss phase, each volunteer met with the research dietitian to develop an isocaloric meal plan using food and beverages based on their individual preferences. After 1 week of weight maintenance, subjects were readmitted to the GCRC to repeat all the baseline measurements.
Data were stored and analyzed using SYSTAT 6.0 Package for Windows (Systat Corp., Evanston, IL). Leptin and insulin levels had a log distribution and were analyzed after log transformation to improve normality for testing and back-transformed for presentation in tables and figures. Differences between pre- and postintervention measures of all variables were determined using a paired t test. Pearson product moment correlation coefficients and multiple regression analysis were performed to determine relationships between variables of interest. Results are expressed as the mean ± SE, and statistical significance is denoted by P < 0.05.
| Results |
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Table 2
summarizes the correlation
coefficient between the decrease in plasma leptin after weight loss and
all of the other variables measured. It is apparent that the only
statistically significant relationship (r = 0.78;
P < 0.005) was between the decrease in leptin and the
fall in the day-long insulin response. This relationship is depicted in
Fig. 1
. Figure 1
also emphasizes that
neither the decrease in fat mass nor that in percent body fat
correlated with the decrease in leptin concentration after weight
loss.
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| Discussion |
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However, providing an explanation for why leptin concentrations vary so much after weight loss was not the sole purpose for carrying out the present series of observations. Based upon the results of our earlier study (6), we had concluded that in addition to its well recognized association with adiposity (1, 2, 3), leptin concentrations also varied in the general population as a function of the circulating insulin concentration. We were aware from other studies that plasma insulin concentrations can vary widely in obese individuals (5, 15, 16) and that the decrease in plasma insulin concentration after weight loss is also variable from person to person (5). Thus, the results of the current protocol also provided a way to test the more general hypothesis that the ambient insulin concentration is an important, and independent, regulator of the leptin concentration. Obviously, correlation coefficients cannot prove causality, but the results of the current interventional study provide further support for this more fundamental link between day-long plasma insulin and plasma leptin concentrations, independent of variations in adiposity.
Finally, some attention should be addressed to the fact that in our previous study (6) as well as in this one, plasma insulin concentration, not insulin resistance, was most closely associated with plasma leptin concentration. It has been well documented in nondiabetic individuals that insulin resistance and plasma insulin concentration are highly correlated (17, 18), and in this population there was also a strong correlation between SSPG and both baseline fasting insulin (r = 0.60; P < 0.05) and the 8-h integrated insulin response to meals (r = 0.88; P < 0.001). Therefore, one might have predicted that the decrease in insulin resistance after weight loss would also have contributed to the ensuing variability in the decline in leptin concentration. Indeed, this was almost certainly the case, in that the decreases in SSPG concentration after weight loss also correlated somewhat with the decline in the day-long insulin response (r = 0.47; P = 0.09). The fact that changes in ambient insulin concentration correlated to a greater degree than did the decrease in insulin resistance should not be surprising, in that the plasma insulin concentration is a function of its rates of appearance and disappearance from the vascular compartment, which, in turn, are modulated by at least four other variables: 1) degree of insulin resistance, 2) changes in plasma glucose concentrations, 3) variations in glucose-stimulated insulin secretion, and 4) differences in the efficacy of insulin catabolism. If, as has been shown previously, increases in the plasma insulin concentration stimulate adipose tissue messenger ribonucleic acid for leptin (19), it should not be surprising to find that it is circulating insulin concentration, not insulin resistance, that is most closely related to the plasma leptin concentration.
In conclusion, the results presented have shown that variation in the magnitude of the fall in plasma leptin concentration after weight loss is highly correlated with the associated decrease in the day-long plasma insulin response. Furthermore, this relationship was independent of the weight loss-related changes in various measures of adiposity. In addition to offering an explanation for the variability in postweight loss plasma leptin concentrations, these results provide further support for the view that circulating insulin concentrations are an important regulator of leptin concentrations (6, 20, 21). On the other hand, it should be emphasized that the ability of insulin to increase adipose tissue leptin synthesis and secretion is not an acute phenomenon (19, 20). The fact that there was an independent relationship between changes in the leptin concentration and the day-long insulin responses, but not with the fasting insulin concentration, raises the alternative possibility that the association between insulin and leptin concentrations may be an indirect one.
| Footnotes |
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Received September 9, 1998.
Revised December 9, 1998.
Accepted December 14, 1998.
| References |
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