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Circulation. 2001;103:513-519

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(Circulation. 2001;103:513.)
© 2001 American Heart Association, Inc.


Clinical Investigation and Reports

Hyperinsulinemia and Autonomic Nervous System Dysfunction in Obesity

Effects of Weight Loss

Michele Emdin, MD; Amalia Gastaldelli, PhD; Elza Muscelli, MD; Alberto Macerata, PhD; Andrea Natali, MD; Stefania Camastra, MD; Ele Ferrannini, MD

From the Metabolism Unit and Coronary Division, CNR Institute of Clinical Physiology, and Department of Internal Medicine, University of Pisa, Pisa, Italy.

Correspondence to E. Ferrannini, CNR Institute of Clinical Physiology, Via Savi 8, 56126 Pisa, Italy. E-mail ferranni{at}ifc.pi.cnr.it


*    Abstract
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*Abstract
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Background—Because hyperinsulinemia acutely stimulates adrenergic activity, it has been postulated that chronic hyperinsulinemia may lead to enhanced sympathetic tone and cardiovascular risk.

Methods and Results—In 21 obese (body mass index, 35±1 kg/m2) and 17 lean subjects, we measured resting cardiac output (by 2-dimensional echocardiography), plasma concentrations and timed (diurnal versus nocturnal) urinary excretion of catecholamines, and 24-hour heart rate variability (by spectral analysis of ECG). In the obese versus lean subjects, cardiac output was increased by 22% (P<0.03), and the nocturnal drop in urinary norepinephrine output was blunted (P=0.01). Spectral power in the low-frequency range was depressed throughout 24 hours (P<0.04). During the afternoon and early night, ie, the postprandial phase, high-frequency power was lower, heart rate was higher; and the ratio of low to high frequency, an index of sympathovagal balance, was increased in direct proportion to the degree of hyperinsulinemia independent of body mass index (partial r=0.43, P=0.01). In 9 obese subjects who lost 10% to 18% of their body weight, cardiac output decreased and low-frequency power returned toward normal (P<0.05).

Conclusions—In free-living subjects with uncomplicated obesity, chronic hyperinsulinemia is associated with a high-output, low-resistance hemodynamic state, persistent baroreflex downregulation, and episodic (postprandial) sympathetic dominance. Reversal of these changes by weight loss suggests a causal role for insulin.


Key Words: obesity • heart rate • hyperinsulinemia • catecholamines • sympathetic activation


*    Introduction
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up arrowAbstract
*Introduction
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Obesity, a condition characterized by hyperinsulinemia and insulin resistance,1 is associated with an increased incidence of hypertension2 and an enhanced risk for cardiovascular morbidity.3 Both complications have been attributed to chronic stimulation of sympathetic activity, imposing a functional overload on the heart and the vasculature.4 5 However, human studies examining adrenergic activity in obesity by whole-body methods (urinary excretion or plasma levels/turnover of catecholamines) have been inconclusive, with reports of normal, decreased, or increased sympathetic activity (see the work by Young and Macdonald6 for review). Regional studies of adrenergic activity have likewise yielded diverging results. For example, in obese men studied by the norepinephrine (NE) isotope dilution method, Rumantir et al7 found that, whereas total NE spillover was normal, renal NE spillover was increased and cardiac NE spillover was decreased. Clearly, these conclusions apply to the fasting, resting conditions under which NE spillover was measured. In contrast, studies using microneurography have reported increased muscle nerve sympathetic activity (MNSA) in obese subjects.5 8 This technique, however, records only regional neurosympathetic discharge over short time periods and under resting but not necessarily fasting5 conditions. Therefore, assessment of the whole-body autonomic activity prevailing under free-living conditions remains problematic, and the controversy continues.6

The hemodynamics of obesity also are incongruous with the presence of adrenergic overactivity alone. In fact, whereas cardiac output is increased, peripheral vascular resistances are generally reduced in the normotensive obese.9 Although this high-output, low-resistance state is partly the consequence of an expanded body mass,10 regional hemodynamic studies have confirmed that limb vascular resistances are either normal or decreased in normotensive obese individuals.10

A role for hyperinsulinemia in the sympathetic overactivity of obesity has been proposed. On the basis of studies in animals, Landsberg11 originally postulated that, during the development of obesity, hyperinsulinemia excites sympathetic activity, thereby increasing oxygen consumption and energy expenditure. This effect of insulin would, in the long term, be maladaptive because while limiting further weight gain it prepares the ground for the emergence of hypertension (and other metabolic abnormalities). Evidence for this phenomenon in humans is incomplete. In healthy volunteers, acute euglycemic hyperinsulinemia causes a dose-dependent increase in circulating NE concentrations.12 On the other hand, the sensitivity to insulin of cardiac activity has been found to be preserved in obese insulin-resistant subjects.13 It is therefore unclear whether the hemodynamic and autonomic nervous system (ANS) changes of the obese state are due to persistent hyperinsulinemia or insulin resistance.

To test this hypothesis, we explored ANS function in obesity by combining measurements of timed urinary catecholamine excretion with the monitoring of heart rate variability (HRV) during 24 hours of free living. Spectral analysis of beat-to-beat fluctuations in heart rate (HR) permits a dynamic evaluation of spontaneous autonomic control of cardiac activity.14 Weight reduction was used to test whether the ANS abnormalities found in the obese were reversible and therefore functional rather than structural in origin.


*    Methods
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*Methods
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Study Population
Twenty-one obese subjects (body mass index [BMI] >30.5 kg/m2 in men and >27.3 kg/m2 in women, according to Italian Consensus Conference criteria15 ) and 17 lean subjects were studied. All had normal oral glucose tolerance16 and resting blood pressure levels (<140/90 mm Hg17 ); none were taking medications. All subjects had normal liver, renal, and endocrine function tests, and none had lost weight or changed dietary habits during the 6 months preceding the study. The investigation was approved by the Ethics Committee, and all subjects gave informed consent.

Experimental Protocol
Body composition was evaluated by electrical bioimpedance.13 All subjects received an oral glucose tolerance test (40 g/m2 glucose) with blood sampling at 30-minute intervals for 2 hours for plasma glucose and insulin measurements. On a different day, cardiac output was determined by 2-dimensional echocardiography,18 and 24-hour Holter recording of the ECG was begun with a bipolar lead frequency-modulation system (Remco-Cardioline). A good-quality recording and baseline sinus rhythm were prerequisites for entering the study. Subjects were instructed to carry out their habitual activities and record them in a diary. From a food questionnaire, diet was ascertained to consist of 55% carbohydrate, 30% fat, and 15% protein (ie, the standard Italian diet). As a rule, subjects consumed 20%, 20%, and 40% of total daily energy intake at breakfast (6:30 to 9:30 AM), lunch (1 to 2:30 PM), and dinner (7 to 9 PM), respectively. On the same day as the Holter recording, an arterialized (by the hot-box technique13 ) blood sample was drawn for measurement of circulating catecholamine concentrations, and separate urine samples were obtained during the daytime (6 AM to 10 PM) and nighttime (10 PM to 6 AM). To identify sleep apnea/hypopnea,19 the respiratory signal was simultaneously monitored through a piezoelectric transducer as described20 ; only 1 obese male patient had an apnea/hypopnea index >5.19

After the initial set of studies, obese patients were prescribed a hypocaloric diet (4.9±0.1 MJ/d; 55% carbohydrate, 25% fat, and 20% protein). Over a period of 8±1 months, 9 patients (7 women and 2 men; age, 35±3 years) lost 8 to 12 kg (10% to 18% of their initial weight). In these patients, studies were repeated when their new weight had been stable for {approx}4 weeks.

Clinical Autonomic Function Tests
ANS was explored by means of the Valsalva maneuver, the deep breathing test, and the lying-to-standing test, in that sequence, following the method of Ewing.21 All measurements were made in the same room, which was maintained at a constant temperature; 1 operator (M.E.) performed all tests.

Frequency-Domain HRV
The ECG was digitized at 250 Hz. The time series of RR intervals were computed throughout the 24-hour period and analyzed in consecutive intervals of 256 data points by the autoregressive technique as described.13 According to consensus standards,14 3 major frequency components were considered in the RR power spectrum: a very-low-frequency (VLF) component (0.003 to 0.03 Hz), a low-frequency (LF) component (0.03 to 0.15 Hz), and a high-frequency (HF) component (0.15 to 0.40 Hz).22 For each spectrum, the mean RR interval, total spectrum power, power of the LF and HF components (in both absolute and normalized units, nu), central frequency of the LF and HF bands, and LF/HF ratio were stored for statistical analysis. Respiratory rate was obtained both from the central frequency of the HF component and by separate spectral analysis of R-wave amplitude variability (The latter is due to chest and heart movements during respiration).

Analytical Procedures
Plasma glucose was measured by the glucose-oxidase technique (Beckman Glucose Analyzer, Beckman). Plasma insulin concentrations (InsKit, Sorin) were measured by radioimmunoassay, whereas plasma and urine epinephrine and NE concentrations were assayed by high-performance liquid chromatography (HLC 725 apparatus) with electrochemical detection (Eurogenetics).

Data Analysis
Fat mass was calculated as the difference between body weight and fat-free mass. Areas under the time-concentration curves were calculated by the trapezium rule. All data are given as mean±SEM. Because of their nonnormal distribution, plasma concentrations of insulin and catecholamines, urine catecholamine excretion values, and spectral parameters were log transformed for use in statistical tests; these variables are summarized as geometric mean [interquartile range]. Between-group comparison was carried out by the Mann-Whitney U test; paired comparisons were performed by the Wilcoxon signed-rank test. Two-way ANOVA for repeated measures was used to compare group means over different time periods. Regression analysis was performed by general linear models including continuous and categorical variables.


*    Results
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*Results
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Clinical, Metabolic, and Hemodynamic Characteristics
The excess weight of the obese group averaged 50% and consisted of both fat and lean mass (Table 1Down). Although all subjects had normal glucose tolerance by conventional criteria, the glucose area was significantly higher in obese than lean subjects. In the fasting state and in response to glucose, plasma insulin levels were 40% to 80% higher in the obese and directly related to BMI (r=0.48 and 0.65, respectively; P<0.01). Cardiac output was higher in the obese; because mean blood pressure was similar in obese and control subjects, total peripheral vascular resistance (TPVR) tended to be reduced in the obese.


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Table 1. Clinical, Metabolic, and Hemodynamic Characteristics

Basal arterialized plasma NE concentrations were similar in the 2 groups. Basal epinephrine levels were lower in women than men (21 [interquartile range, 16] versus 44 [46] pg/mL; P=0.01) and inversely related to BMI (age- and sex-adjusted r=0.44, P=0.01). Urine flow did not differ between the nocturnal and diurnal collection in either group (Table 2Down). In the lean subjects, urinary output of epinephrine and NE both dropped by {approx}70% during the night compared with day. In the obese group, 24-hour catecholamine output (epinephrine, 8.2 [11.7] µg; NE, 41.0 [47.4] µg) was not different from that of lean control subjects (epinephrine, 12.7 [18.0] µg; NE, 42.2 [27.3] µg; P=NS for both). However, the nocturnal decline in urinary NE excretion was blunted in the obese as both total output and excretion rate. In the whole data set, the difference in NE output between day and night was inversely related to BMI (age- and sex-adjusted r=0.53, P=0.01).


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Table 2. Urinary Catecholamine Excretion1

Clinical ANS Tests
The Valsalva ratio was 1.46±0.07 in obese subjects and 1.50±0.05 in control subjects (P=NS). The ratio of maximum to minimum RR calculated during deep breathing was 1.32±0.03 in the obese and 1.39±0.04 in control subjects (P=NS). The HR ratio in response to standing averaged 1.26±0.03 in the obese and 1.31±0.05 in control subjects (P=NS).

Heart Rate Variability
To assess the influence of sex, age, and HR on HRV, a preliminary analysis was performed on the 24-hour spectral parameters for the whole data set (Table 3Down). There were strong associations of all 3 physiological factors with most spectral parameters; in particular, spectral indexes were reciprocally related to age and HR (data not shown). Therefore, in comparisons of spectral variables between obese and control subjects, simultaneous statistical adjustment for sex, age, and HR was used in every case.


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Table 3. Spectral Analysis by Time of Day1

In the whole data set, clock time was associated with marked changes in the autonomic control of HR. Thus, HR was higher during the day than at night (by 16 bpm on average, P<0.001). This physiological tachycardia was accompanied by a reduction in spectral powers, particularly marked within the VLF and HF bands, a left shift of the central VLF frequency, and a right shift of the central LF frequency. The proportion of total power in the LF band rose, and that in the HF band decreased, so the LF/HF ratio increased from a mean of 2.6 at night to a mean of 6.2 during the day (P<0.0001).

In the obese, the mean day/night HR excursion was significantly smaller than in control subjects (12 [10] versus 18 [9] bpm, P=0.05 after adjustment by age and sex). During both daytime and nighttime, LF power was significantly lower in the obese than in the lean group, the difference accounting for most of the observed decrease in total power.

Hourly analysis revealed that obese subjects had higher HRs between 3 PM and 3 AM but lower HRs between 7 and 10 AM (Figure 1Down). Whereas LF power was depressed essentially throughout the 24-hour period, HF power was reduced during the late afternoon through the first half of the night (Figure 2Down). As a consequence, the LF/HF ratio was detectably increased in the obese group at individual time points during the afternoon.



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Figure 1. Hourly profile of HR (top) and LF/HF ratio (bottom) in lean and obese subjects. Data are mean±SEM. Shaded area highlights nocturnal period. *Time points at which difference between 2 groups achieved statistical significance (P<0.05 or less).



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Figure 2. Hourly profile of LF (top) and HF (bottom) power in lean and obese subjects. Shaded area highlights nocturnal period. *Time points at which difference between 2 groups achieved statistical significance (P<0.05 or less).

In the whole data set, higher daytime LF/HF ratios were associated with higher fasting plasma insulin concentrations independent of sex, age, HR, and BMI; quantitatively, a tripling of fasting insulin predicted a doubling of the LF/HF ratio (Figure 3Down).



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Figure 3. Association between daytime LF/HF ratio (residuals after adjustment for sex, age, HR, and BMI) and fasting plasma insulin concentration. Inset shows model-predicted change in LF/HF ratio associated with tripling of fasting plasma insulin levels ([I]). resds indicates residuals.

Effects of Weight Loss
In the weight-reduced patients, indexes of body mass and fat distribution improved significantly, cardiac output decreased, and TPVR rose (Table 4Down). Urinary catecholamine excretion tended to decrease (although the change was not statistically significant). Baseline 24-hour LF power (608 [420] ms2) returned toward the normal range (to 824 [799] ms2; P<0.05). The 24-hour hourly profile of HR was generally decreased, whereas that of LF powers was increased (Figure 4Down); the LF/HF ratio was not significantly changed.


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Table 4. Effects of Weight Loss



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Figure 4. Hourly profile of HR (top) and LF power (bottom) in 9 obese subjects before and after weight loss.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowReferences
 
In this study, obesity was of moderate to severe degree (BMI, 30 to 45 kg/m2), with all the metabolic changes typical of this condition. To avoid the confounding effects of structural vascular changes, the obese subjects were selected to have normal glucose tolerance and blood pressure levels. In addition, clinical tests of autonomic function were within normal limits. Our results therefore apply to uncomplicated obesity.

Sympathetic Activity
Adrenergic activity over 24 hours of free living was inferred from timed urinary excretion of catecholamines. NE output was not increased in the obese despite their expanded body mass, which per se should augment NE excretion23 ; likewise, epinephrine output was similar in obese and lean subjects in absolute terms. Furthermore, sex-adjusted plasma epinephrine concentrations were lower in the obese group, in agreement with the previous finding2 that 24-hour urinary epinephrine excretion is reciprocally related to BMI. Thus, our obese subjects under free-living conditions showed no absolute increase in neuroadrenergic activity and a mild degree of adrenomedullary deficit. Qualitatively, this result agrees with that of Narkiewicz et al,19 who reported normal MSNA in obese subjects without obstructive sleep apnea. After weight loss, catecholamine output was, if anything, reduced. Although this may represent a carryover from antecedent energy restriction,24 the finding is consistent with the view11 that, at least in some individuals, obesity may develop from an initially hypoadrenergic state, which is partially compensated for by the enhancement in sympathetic drive that accompanies weight gain. In support of this possibility is the observation that in Pima Indian men a low sympathetic nervous system activity predicts subsequent weight gain.23

A further finding was that the normal nocturnal dip in urinary NE output was blunted in the obese. The time shift in NE output toward the late afternoon and early night clearly tracked with the time course of HR: The higher HR of the late evening extended into the early night, thereby overlapping with the nocturnal urine collection. Thus, the pattern of urinary NE excretion and the time course of HR coherently indicated episodic adrenergic activation and parasympathetic withdrawal in the obese in coincidence with the postprandial state.

ANS Function
HRV was larger in men than women, a consequence of the constitutive bradycardia of men and the inverse relationship between HR and HRV. Furthermore, age was associated with reduced HRV.25 Finally, HRV was lower during the daytime than nighttime, which represents the adaptation of the baroreflex to the physiological tachycardia of the awake state, characterized by increased sympathetic activity and vagal withdrawal. After adjusting comparisons for sex, age, and HR, we found that LF was generally reduced in the obese during the day and at night. The LF power expresses the autonomic (sympathetic and parasympathetic) control of HR fluctuations.14 The lack of a clear circadian LF cycle in the control group suggests that LF power reflects peripheral modulation of baroreflex activity,22 although central components cannot be excluded. Accordingly, the flat LF profile of our obese subjects indicates an impaired sensitivity of the sinus node to spontaneous oscillations in blood pressure. This phenomenon, which we observed under free-living conditions, likely is the equivalent of the blunted baroreflex gain that has been documented in obese subjects undergoing pharmacological modulation of baroreceptor activity.5 26 After weight reduction, LF power returned toward normal (Figure 4Up), demonstrating that this abnormality is functional in origin; ie, it is not due to structural damage within the baroreflex pathway. In keeping with this conclusion, Grassi et al27 reported decreased MSNA and improved baroreflex sensitivity to pharmacological stimuli in normotensive obese subjects after short-term (6-week) energy restriction.

The circadian HR and HF oscillations were well evident in the control group and were preserved in the obese; in the latter, however, HF power was diminished in the late afternoon to early night (Figure 2Up). As a result, the LF/HF ratio, an index of sympathovagal balance,28 also was altered during this period of time, indicating a shift toward sympathetic dominance. This finding may reflect a perturbation in the central autonomic regulation of sinus node activity.13

Interpretation
Hemodynamically, a hyporesponsive baroreflex may result from baroreceptor downloading caused by chronic vasodilatation. In keeping with this possibility, in our obese group, TPVR was lower than in lean subjects and rose after weight loss in concomitance with the recovery of baroreceptor sensitivity. A more general explanation calls on hyperinsulinemia as the common mechanism underlying the hormonal, hemodynamic, and HRV changes in the obese. Existing evidence indicates that in humans acute physiological hyperinsulinemia simultaneously increases systemic sympathetic activity (circulating NE concentrations),12 desensitizes the baroreflex,13 stimulates MSNA,29 increases cardiac output,13 and induces peripheral vasodilatation.29 Experimentally, in dogs fed a high-fat diet, nyctohemeral HR rhythm disappears and spontaneous baroreflex efficiency declines as the animals gain weight and become hypertensive.30 The present results add to the existing evidence by showing the following. First, in obese subjects, the periods of parasympathetic withdrawal and sympathetic dominance coincided with the more hyperinsulinemic hours, from the afternoon until late evening (breakfast being a small meal in the Italian eating pattern). Second, the LF/HF ratio was increased in proportion to the degree of hyperinsulinemia independent of BMI (Figure 3Up). Third, the reduction in hyperinsulinemia that accompanied weight loss reversed both the hemodynamic and HRV changes. Thus, previous and present evidence converges on the conclusion that the abnormal excursions in plasma insulin of the obese during free-living conditions (as described by Polonski et al31 ) elicit repeated episodes of parasympathetic withdrawal, sympathetic dominance, and baroreceptor downregulation. Thus, obesity can be viewed as the extension into free living of the acute effects that insulin exerts on the ANS and vasculature.

Conclusive proof of this interpretation can be derived only from the study of the preobese state; this, however, is defined only retrospectively. In a study analyzing HRV during short-term, small (10%) changes in body weight in healthy volunteers, Hirsch et al32 documented an increase in HR and a decline in spectral powers during weight gain and opposite changes during weight loss.

It should be pointed out that in our previous study13 we demonstrated that the acute effects of insulin on sinus node activity were similar between lean and obese insulin-resistant subjects; ie, they were unrelated to insulin resistance of glucose metabolism. Therefore, the ANS dysfunction of the obese appears to be the direct result of day-long hyperinsulinemia, unmitigated by insulin resistance. It should also be stressed that, although it can adequately explain the observed differences between obese and lean individuals, hyperinsulinemia need not be the sole determinant and may stand for underlying but unmeasured factors. Nevertheless, it is relevant that insulin is able to directly affect cell excitability (through its actions on transmembrane ion exchange33 ) and permeate the blood-brain barrier to modulate neuronal activities in the midbrain.34

Received July 10, 2000; revision received September 13, 2000; accepted September 14, 2000.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 
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