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The Journal of Clinical Endocrinology & Metabolism Vol. 82, No. 9 2899-2903
Copyright © 1997 by The Endocrine Society


Special Articles

Erratic Oscillatory Characteristics of Plasma Insulin Concentrations in Patients with Insulinoma: Mechanism for Unpredictable Hypoglycemia1

Nancy Berman, Pauline Genter, Hsu-Fang Chou, Colleen Cortez, Ronald Bowsher and Eli Ipp

Department of Medicine and Pediatrics, Harbor-University of California Los Angeles Medical Center, Torrance, California 90509; and Lilly Laboratory for Clinical Research, Indianapolis, Indiana

Address all correspondence and requests for reprints to: Nancy Berman, Walter Martin Research Center, Harbor-University of California Los Angeles Medical Center, 1124 West Carson Street, Torrance, California 90502. E-mail: Berman{at}harbor6.humc.edu


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Patients with insulin-producing tumors may have hypoglycemic symptoms at unpredictable times. This study evaluated whether plasma insulin oscillations, known to occur in normal individuals but not explored in patients with insulinomas, could be an underlying mechanism for such events. Nine normal subjects and five patients with proven insulinomas were studied in the fasting state. Serial sampling of arterialized blood over 80–100 min, at 2- or 3-min intervals was performed. In normal subjects, mean plasma glucose and insulin concentrations were 5.3 ± 0.1 mmol/L and 58 ± 9 pmol/L, respectively. Regular, low-amplitude plasma insulin oscillations were observed, with a period of 10–17 min. The subjects with insulinomas had lower mean plasma glucose and higher insulin concentrations than controls, 3.6 ± 0.3 mmol/L (P = 0.01) and 150 ± 42 pmol/L (P = 0.01), respectively. They also had insulin oscillations that appeared unstable as a result of variability in duration and amplitude compared with controls. The insulin pulses were irregular, and interpeak intervals varied between 4–54 min in different subjects; in some subjects, the amplitude was also variable, with sudden spontaneous pulses as high as 565 pmol/L, with an associated glucose decrement. We conclude that large spontaneous bursts of insulin secretion occur in patients with insulinomas as part of an erratic pattern of oscillatory insulin secretion, and these can account for unpredictable occurrences of hypoglycemia.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
PATIENTS WITH insulinomas typically present with clinical symptoms of fasting hypoglycemia caused by a combination of hypersecretion of insulin and the absence of exogenous glucose (1, 2). A detailed history often reveals considerable consistency in timing of hypoglycemic episodes. Thus, symptoms may occur before breakfast, after exercise or, less well appreciated, in the late afternoon (3). Less frequently, symptoms occur postprandially (4). However, some patients have hypoglycemic episodes at completely unpredictable times that do not correlate with fasting, exercise, or meals and which are not consistent from day to day. The best explanation for these hypoglycemic episodes is erratic, nonphysiological bursts of insulin secretion by the tumor (2, 3, 4), supported by reports of acute hyperinsulinemic episodes in the fasting state (5, 6). The mechanism for the latter is unclear.

A possible explanation for erratic bursts of insulin release in patients with insulinomas lies in the phenomenon of insulin secretory oscillations (7, 8). High frequency regular oscillations of plasma insulin concentrations are a characteristic feature of the postabsorptive state in normal human subjects (8, 9). It is possible that exaggeration of normal physiological oscillations may occur in insulinoma patients and cause transient spontaneous hyperinsulinemia with hypoglycemia in the absence of any obvious secretagogue. This study was designed to test whether patients with insulinomas have plasma insulin oscillations, and whether abnormalities in this system would explain large insulin peaks in the fasting state.


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

Normal subjects. Nine healthy volunteers participated in this study (seven women, two men). Their mean age was 32.1 ± 2.0 yr, with a range of 25–41 yr. Mean body mass index was 21.5 ± 0.9 kg/m2, with a range of 17–25.7 kg/m2. Subjects were studied in the General Clinical Research Center at Harbor-UCLA Medical Center. None was using medications, and there was no personal or immediate family history of diabetes, hypoglycemia, or glucose intolerance.

Insulinoma subjects. Five patients with insulinomas (three women, two men) also participated. The patients ranged in age from 32–76 yr (mean = 47.6 ± 8.5 yr). Their mean body mass index was 25.8 ± 2.2 kg/m2 (range = 21.9–33.7 kg/m2). All patients were later found to have a surgically removable insulinoma. Control and insulinoma subjects consumed a weight-maintaining diet, including at least 200 g carbohydrate daily, for 3 days before study. Subjects gave informed consent for these studies, which were approved by the institutional review board.

Procedures

Studies were conducted in the morning after a 10-h overnight fast. Arterialized blood samples were drawn from an in-dwelling catheter in a heated hand (10). Blood samples were obtained at 2- or 3-min intervals for 60–100 min, for a total of 30–50 samples. The samples were maintained at 4 C until centrifugation which was performed within 60 min. Plasma was frozen at -70 C before analysis.

Analysis

Laboratory analysis. Plasma was assayed for glucose with an Abbott Biocromatic Analyzer (Abbott Diagnostics, Chicago, IL) using hexokinase methodology (11) and for insulin with a previously described RIA (12). The lower limit of sensitivity of the insulin assay was 7 pmol/L; proinsulin exhibited 60% cross-reactivity. Proinsulin was measured using a highly specific RIA with a sensitivity limit of 5 pmol/L (13) that does not cross-react (<1%) with insulin or C-peptide (14).

Data analysis. Spectral analysis was used to detect regular oscillations in time-series data (15). Briefly, this method models time series as a sum of sinusoids with different frequencies and phases, which are determined from the sampling interval and duration of the study. The amplitude computed at each frequency reflects the contribution of the sinusoid at that frequency. The squared amplitude (power) of each component is normalized to a percent of total power and shown plotted against period. Fisher’s test was used to determine whether the amplitude of the dominant frequency component is statistically different from noise (16). When spectral analysis indicated there was no regular pattern of oscillations, the DETECT Program (17) was used to define specific pulses. Student’s t test for unpaired data was used to evaluate the difference in means between groups. Data are presented as the mean ± SEM, unless stated otherwise.

Correction for proinsulin cross-reactivity. Insulinomas are known to hypersecrete proinsulin (1, 2, 3). Because proinsulin cross-reacts in the insulin assay, the pattern of plasma insulin concentrations in these patients might be influenced by the proinsulin component. To evaluate this possibility, the total insulin measured by insulin assay was corrected for the proinsulin component in each sample as follows: first, proinsulin was measured using a specific assay. The proinsulin component of each total insulin measurement was estimated using the concentration of proinsulin measured in each sample, and the known cross-reactivity of proinsulin in our insulin assay. The proinsulin component thus calculated was then subtracted to provide the estimated true insulin value for each measurement. Finally, the time series and spectral analysis were recomputed for each study using the adjusted true insulin values.


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

In normal lean subjects, mean plasma glucose and insulin concentrations were 5.3 ± 0.1 mmol/L and 58 ± 9 pmol/L, respectively (Table 1Go). Plasma insulin concentrations were stable over the duration of the study. However, periodic, low-amplitude, high-frequency oscillations of plasma insulin concentrations were found (Fig. 1aGo). In all subjects, a dominant frequency component with a period of between 10 and 17 min was observed on spectral analysis, indicating a high degree of regularity in the oscillations. In eight of nine subjects, the amplitude of this component was significantly different (16) from noise (P < 0.05, Table 1Go). Mean amplitude was 19 ± 3 pmol/L and mean period was 12.5 ± 1 min. A representative example using the results of subject 8 is demonstrated (Fig. 1aGo) showing regular oscillations. Figure 1aGo shows the time series; Fig. 1bGo shows the results of spectral analysis. The single large value at 17 min indicates regular oscillations with that period. Although most controls in this study were lean and younger, similar results were found in obese and elderly subjects (our unpublished observations). Plasma glucose was also stable, but oscillations were infrequently observed (data not shown).


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Table 1. Analysis of plasma insulin oscillations in normal subjects

 


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Figure 1. Plasma insulin concentrations obtained during frequent serial sampling (a, c) and spectral analysis (b, d) showing period in normal subject 8 (a, b) and insulinoma patient 3 (c, d). Note that ordinate axes have different scales for insulin concentrations.

 
Insulinoma subjects

The insulinoma patients had lower mean plasma glucose concentrations after an overnight fast: 3.6 ± 0.3 mmol/L (P = 0.01 vs. normal subjects; Table 2Go). Mean plasma insulin was significantly higher than controls at 150 ± 42 pmol/L (P = 0.01). Overall variability in insulin concentrations was much greater in the insulinoma patients (Fig. 1cGo). Plasma insulin pulses were also observed but showed a lack of regularity (Fig. 1cGo). Spectral analysis did not identify a statistically significant dominant frequency component in four of five patients. This is evident from the multiple low amplitude peaks without a dominant frequency, identified on spectral analysis (e.g. Fig. 1dGo). Data were therefore analyzed with the DETECT program; the number of pulses and interval between pulse maxima varied considerably within and between individuals (Table 2Go). Pulses occurred at intervals ranging from 4–54 min (Table 2Go). The average overall interpulse interval, 19.0 min, was slightly longer than the range of the period of regular oscillations found in the normal subjects.


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Table 2. Analysis of plasma insulin oscillations in patients with insulinomas

 
Another manifestation of variability in insulinoma patients was the amplitude of insulin pulses (e.g. Fig. 2Go, patient 4). Plasma insulin concentrations doubled from approximately 300 pmol/L at 46 min to 565 pmol/L in a period of a few minutes. This is equivalent to a postprandial increase in insulin concentrations, yet it clearly occurred in an apparently unprovoked fashion while the subject was in the fasting state. The result of this pulse was a decrement in plasma glucose concentrations, which had stabilized at 2.5 mmol/L in the 20 min before the appearance of this insulin pulse, then dipped to 1.9 mmol/L over the next 20 min (Fig. 2Go). Similar large insulin pulses were noted in another two time series. Overall, variability in the amplitude of insulin pulses is also evident as shown in Table 2Go. Mean pulse amplitudes showed considerable intersubject variability (range 19–134 pmol/L). Large intrasubject variation was also observed in some subjects. The range of pulse amplitudes was wide in patients 3, 4, and 5; in patients 1 and 2 this range was small, reflecting a level of consistency closer to normal subjects. Also in insulinoma subjects, no regular oscillations in plasma glucose concentrations were observed, though levels tended to drift lower as the study progressed (see ranges of glucose concentrations in Table 2Go).



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Figure 2. Plasma insulin and glucose concentrations obtained during frequent serial sampling in insulinoma subject 4.

 
Subtraction of proinsulin component

Mean plasma proinsulin concentrations were elevated in all patients, ranging from 34–164 pmol/L (upper limit of reference range = 20 pmol/L). This represents 12–70% of the mean total insulin concentrations. The proinsulin component of each measurement of total insulin (described in Subjects and Methods) was subtracted, and the resulting time series reevaluated. Mean insulin concentrations and amplitude of oscillations were significantly lower in each case, but there was no change in degree of regularity of oscillations when analyzed by spectral analysis (data not shown).


    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
The diagnosis of insulinoma can sometimes be very challenging, as indicated by the relatively frequent initial misdiagnosis of patients as having neurological or psychiatric disorders (1, 2, 3, 4). The average period from start of symptoms to diagnosis may be as long as 12–18 months (1, 3). Only when symptoms are recognized as being caused by hypoglycemia can the process of biochemical diagnosis, localization, and management begin. Therefore, recognition of the symptom complex of hypoglycemia, its wide range of presenting features, and improved understanding of their underlying mechanisms are essential if the time to diagnosis is to be reduced. This study has addressed a possible mechanism for one of the features of the symptom complex of an insulinoma—erratic timing of symptoms.

Specifically, we tested whether insulinoma patients have insulin oscillations, and whether abnormal pulsatility might explain the observation of sudden, erratic plasma insulin peaks (5, 6). Using high-frequency serial sampling, this study confirmed the presence of consistent insulin pulsatility in these patients, but with patterns that are erratic compared with normal subjects. In normal controls, regular plasma insulin oscillations with a mean period of 12.5 min were observed, similar to the observations of others (7, 8). Spectral analysis evaluates oscillatory data using a sinusoid wave model, thus the finding of a single dominant high-frequency peak in the power spectrum in normal subjects implies a degree of regularity approximating a sine wave statistically (15). The degree of consistency in both frequency and amplitude implied by sine wave-type oscillations, reflects a physiological system that is highly regulated. In contrast, the insulin pulses in the insulinoma patients did not demonstrate a regular pattern in either amplitude or frequency. The amplitude of the pulses in some patients was much larger than in normal subjects and varied within and between subjects. The periodicity observed in insulin oscillations of normal subjects was also lacking. Spectral analysis failed to demonstrate regularity of insulin pulses in most insulinoma subjects, and the interpulse interval estimated by DETECT demonstrated great variability. This high degree of variability in both frequency and amplitude in insulinoma patients is evidence for loss of the highly organized physiological regulation of oscillations seen in normal subjects.

This impaired regulation of plasma insulin oscillations in the insulinomas was accompanied by unusually high pulses of insulin concentrations in three of five subjects with insulinomas. Sudden changes of this type are caused by an increase in insulin secretion (plasma C-peptide at peak insulin levels was also elevated; data not shown). Occurrence of pulses in the postabsorptive state, when fuel concentrations are stable, suggest that the stimulus for secretion is an intrinsic one. This is consistent with findings in vitro that demonstrate that the isolated pancreas and isolated islets secrete insulin in a pulsatile fashion, even when fuel concentrations are held constant in perifusing media (18, 19). This is more specifically supported by the findings of Chou et al. (13) who demonstrated that insulinomas, when studied in vitro, secrete insulin in oscillatory fashion. Thus, in vivo, unusually high plasma insulin pulses appear to represent insulin oscillations that are intermittently exaggerated when secreted by an adenoma. This represents another feature of autonomy from physiological control that characterize endocrine tumors.

Unusually high insulin pulses were not observed in all the time series, despite ongoing oscillations. It is therefore possible that some adenomas secrete insulin in more stable fashion. This is not unusual in endocrine tumors, which may display different degrees of autonomy. However, in none of the control subjects were there any pulses of the magnitude observed in patients with insulinomas. This finding thus corroborates long-held clinical suspicions of erratic secretory behavior in some insulinomas (2, 3, 4). Demonstration of unexpected pulses in the postabsorptive state thus may be an additional tool that can raise the index of suspicion for the presence of an insulinoma. However, this determination requires more than just the finding of a high concentration of insulin; rather a series of at least three measurements to represent both nadir and pulse peak should be identified.

Possible mechanisms for abnormal regulation of insulin oscillations deserve some comment, although this study cannot distinguish between them. 1) Irregularity at the insulin secretory level. 2) Two independent sources of insulin secretion, each responding to a different pacemaker; i.e. oscillations of insulin originating from the insulinoma acting as an autonomous secretor and separately from normal pancreatic islets. If these two sources are not coordinated, the resulting oscillatory pattern in plasma are likely to be irregular. 3) The effect of changes in blood glucose concentrations. In vitro studies have demonstrated that high-frequency insulin oscillations are entrainable by fairly small changes in glucose concentrations (19). Glucose responses to erratic insulin pulses might alter the regularity of insulin oscillations by entrainment. 4) A role for proinsulin. Although cosecreted with insulin in pulsatile fashion (13), the plasma half-life of proinsulin is longer than insulin, and might interfere with the pattern of oscillations if both molecules are detected in the insulin assay. This possibility was excluded.

In summary, by using frequent serial blood sampling in the postabsorptive state, this study has demonstrated high-frequency insulin pulsatility in patients with insulinomas. However, the pulses are irregular in amplitude and frequency in contrast to normal controls. These data provide strong evidence for a loss of regulatory control over insulin secretory oscillations in these patients. The results form a basis for understanding the occasional unexpected episodes of hypoglycemia in insulinoma patients by demonstrating the presence of unusually large and erratic insulin pulsatility in some individuals. This finding provides additional evidence for the autonomous, unregulated nature of insulin secretion in patients with insulinomas. Finally, unexpectedly high pulses of plasma insulin concentrations found in fasting patients during evaluation of hypoglycemia, should be considered highly suggestive of insulinoma.


    Acknowledgments
 
The authors are indebted to the nurses, dietary, and core laboratory staff of the Clinical Study Center at Harbor-UCLA Medical Center for their excellent assistance in the performance of this study.


    Footnotes
 
1 These studies were supported in part by grants from the American Diabetes Association and NIH to support the General Clinical Research Center at Harbor-UCLA Medical Center (MO1-RR00425). Back

Received February 6, 1997.

Accepted May 23, 1997.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 

  1. Service FJ, Dale AJ, Elveback LR, Jiang NS. 1976 Insulinomas: clinical, and diagnostic features of 60 consecutive cases. Mayo Clinic Proc. 51:417–431.[Medline]
  2. Fajans SS, Floyd JC. 1979 Diagnosis and medical management of insulinomas. Annu Rev Med. 30:313–329.[CrossRef][Medline]
  3. Service FJ, van Heerden JA, Sheedy PF. 1983 Insulinoma. In: Service FJ (ed) Hypoglycemic Disorders. Boston: Hall Medical Publishers; 111–128.
  4. Marks V, Rose C. 1980 Hypoglycemia, ed 2. Oxford: Blackwell; p. 115–215.
  5. Ipp, E, Griffiths S, Bowsher R, Tarris R, Zhou DB, Terlecki M. 1992 Intermittent secretion of proinsulin by an insulinoma: implications for a screening test. Diabetes Care. 15:931–933.[Medline]
  6. Villaume C, Beck B, Dollet J-M, Pointel J-P, Drouin P, Debry G. 1984 Twenty eight-hour profiles of blood glucose, plasma immunoreactive insulin and IRI/BG ratio in four insulinomas. Ann Endocrinol (Paris). 45:155–160.[Medline]
  7. Goodner C, Wailke B, Koerker D, et al. 1977 Insulin, glucagon and glucose exhibit synchronous, sustained oscillations in fasting monkeys. Science. 195:177–179.[Abstract/Free Full Text]
  8. Lang D, Matthews D, Peto J, Turner R. 1979 Cyclic oscillations of basal plasma glucose and insulin concentrations in human beings. N Engl J Med. 301:1023–1027.[Abstract]
  9. Hansen B, Jen K, Pek S, Wolfe R. 1982 Rapid oscillations in plasma insulin, glucagon, and glucose in obese and normal weight humans. J Clin Endocrinol Metab. 54:785–792.[Abstract]
  10. Ipp E, Forster B. 1987 Sparing of cognitive function in mild hypoglycemia: dissociation from the neuroendocrine response. J Clin Endocrinol Metab. 65:806–810.[Abstract]
  11. Genter PM, Ipp E. 1994 Accuracy of plasma glucose measurements in the hypoglycemic range. Diabetes Care. 17:595–598.[Abstract]
  12. Ipp E, Sinai Y, Forster B, Nesher R, Cerasi E. 1990 A glucose reduction challenge in the differential diagnosis of fasting hypoglycemia: a two-center study. J Clin Endocrinol Metab. 70:711–717.[Abstract]
  13. Chou HF, Ipp E, Bowsher RR, Berman N, Ezrin C, Griffiths S. 1991 Sustained pulsatile insulin secretion from adenomatous human beta cells: synchronous cycling of insulin, C-peptide and proinsulin. Diabetes. 40:1453–1458.[Abstract]
  14. Bowsher RR, Wolny JD, Frank BH. 1992 A rapid and sensitive radioimmunoassay for the measurement of proinsulin in human serum. Diabetes. 41:1084–1090.[Abstract]
  15. Brillinger DR. 1975 Time Series: Data Analysis, and Theory. New York: Holt, Rhinehart and Winston; 92–159.
  16. Shimshoni M. 1971 On Fisher’s test of significance in harmonic analysis. Geophys J R Astr Soc. 23:373–377.
  17. Oerter KE, Guardbusso V, Rodbard D. 1986 Detection and characterization of peaks and estimation of instantaneous secretory rate for episodic pulsatile hormone secretion. Comput Biomed Res. 19:170–191.[CrossRef][Medline]
  18. Stagner J, Samols E, Weir G. 1980 Sustained oscillations of insulin, glucagon, and somatostatin from the isolated canine pancreas during exposure to a constant glucose concentration. J Clin Invest. 65:939–942.
  19. Chou H-F, Ipp E. 1990 Pulsatile insulin secretion in isolated rat islets. Diabetes. 39:112–117.[Abstract]



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