Abstract
Objective
Hyperinsulinemic hypoglycemia with neuroglycopenia is a rare complication following Roux-en-Y gastric bypass (RYGB) surgery for weight management. This study evaluates insulin secretion and action in response to oral and intravenous stimuli in persons with and without neuroglycopenia following RYGB.
Design and Methods
Cross-sectional cohort studies were performed at a single academic institution to assess insulin secretion and action during oral mixed meal tolerance test (MMTT) and intravenous glucose tolerance test (IVGTT).
Results
Insulin secretion was increased more following oral mixed meal than intravenous glucose in individuals with neuroglycopenia compared to the asymptomatic group. Reduced insulin clearance did not contribute to higher insulinemia. Glucose effectiveness at zero insulin, estimated during the intravenous glucose tolerance test, was also higher in those with neuroglycopenia. Insulin sensitivity did not differ between groups.
Conclusions
Increased beta cell response to oral stimuli and insulin-independent glucose disposal may both contribute to severe hypoglycemia after Roux-en-Y gastric bypass.
Keywords: Hypoglycemia, Neuroglycopenia, Roux-en-Y Gastric Bypass, Insulin
Introduction
Hyperinsulinemic hypoglycemia with neuroglycopenia is a rare but increasingly recognized complication of Roux-en-Y gastric bypass (RYGB) surgery (1, 2). Prevalence rates are estimated between 0.1-0.36% of post-RYGB patients (3, 4, 5), although prevalence may be higher (6). Symptoms typically become manifest 1-3 years postoperatively, after weight loss has stabilized, but may occur as long as 20-years later (7). Therapeutic approaches to reduce frequency and severity of hypoglycemia include medical nutrition therapy with controlled portions of low glycemic index carbohydrates, inhibition of intestinal α-glucosidase to slow carbohydrate absorption and thus reduce postprandial insulin secretion, and somatostatin analogues, diazoxide and/or calcium channel blockers to reduce insulin secretion (8, 9, 10). Continuous glucose sensors with alarms for hypoglycemia may have clinical value. Partial pancreatectomy, performed in some patients in attempt to reduce insulin secretion, is not always successful (1, 11). Some patients have responded to enteral nutrition delivered via the bypassed stomach (12) or to gastric restriction procedures (13).
Given the difficulty of achieving glycemic control in patients with neuroglycopenia following RYGB, it is important to better understand mechanisms responsible for severe hypoglycemia. Studies have highlighted contributions of increased insulin secretion in response to meals, potentially mediated in part by increased secretion of incretin hormones glucagon-like peptide-1 (GLP-1) and gastric inhibitory polypeptide (GIP) (14, 15) and potentiated by reduced insulin clearance (15). The importance of gut-derived signals extrinsic to β-cells is also supported by the normal insulin response seen with nutrient delivery to the remnant stomach (12). By contrast, other data support a role for increased β-cell mass and/or intrinsic function.. Pancreatic pathology from patients who underwent partial pancreatectomy demonstrates increased β-cell mass and/or increased nuclear diameter (1, 2, 16, 17). To better understand physiologic differences in persons with post-RYGB hypoglycemia associated with neuroglycopenia, we examined glucose and insulin responses to oral and intravenous stimuli in cohorts with and without neuroglycopenia following RYGB.
Methods
Subjects
Twenty-six persons with prior RYGB for morbid obesity were recruited from clinical practice. Seventeen manifest clinically significant hypoglycemia (neuroglycopenia) defined by documented hypoglycemia associated with altered mental status requiring assistance, with or without seizure. Nine subjects who had undergone uncomplicated RYGB who were weight stable for 6 months or more, and had no history of diabetes or glucose intolerance, and denied hypoglycemic symptoms (asymptomatic, controls) were also studied. Consecutive patients were enrolled and classified based solely on medical history. Exclusion criteria included heart failure, liver or kidney disease, malignancy, acute infection or injury, pregnancy and use of medications known to affect insulin secretion or action. Medications including alpha-glucosidase inhibitors, somatostatin analogues, diazoxide, calcium channel inhibitors were held for two days prior to evaluations. The Joslin Diabetes Center Institutional Review Board approved the study. Written informed consent was obtained from participants.
Mixed Meal Tolerance Test (MMTT)
Subjects were instructed to consume at least 200-g carbohydrate for 3-days before visits. Height and weight were measured using a wall-mounted stadiometer (Holtain Ltd., Crymych, UK) and electronic scale (model 0501; Acme Scale Co., San Leandro, CA), and sitting blood pressure was measured. Fasting blood samples were obtained before a liquid mixed meal (Ensure®, 9 g protein, 40 g carbohydrate, 6 g fat, 240 ml; Abbott Laboratories, Abbott Park, IL). Additional blood samples were collected at 10, 20, 30, 60, and 120 minutes for glucose, insulin, and C-peptide. Corrected insulin response (CIR= l30/(G30 × (G30 - 70))) (18) and composite insulin sensitivity index (19) were calculated. Insulin secretion rates (ISR) were calculated from plasma C-peptide using I(nsulin-)SEC(retion) (ISEC, Version 3.4a, Hovorka, 1994) and population estimates of C-peptide kinetics (20). Insulin clearance was calculated by dividing area under the curve (AUC) of the insulin secretion rate from zero to 120 minutes, by AUC for insulin over the same time interval (15). Early (0-30 minutes) and late (60-120 min) insulin clearance rates were also calculated. Dumping score was calculated during MMTT using a formula reflecting change in pulse and hematocrit (Hct) as indicator of plasma volume: score =685 × (1-[Hctbasal (100- Hct20min)/ Hct20min × (100- Hct20min)] + 100 (Pulse20min -Pulsebasal)/ Pulsebasal (21).
Insulin-modified frequently sampled intravenous glucose tolerance test (IVGTT)
Participants returned on a separate day, after overnight fast. Intravenous catheters were placed in the antecubital veins for blood sampling and glucose and insulin injections. Dextrose (0.5 g/kg, 30% solution) was administered over 3-minutes and insulin (0.03 U/kg body weight) was injected intravenously at time 19-minutes. Blood was sampled twice before glucose bolus and at 2, 3, 4, 5, 6, 8, 10, 12, 14, 19, 22, 23, 24, 25, 27, 30, 40, 50, 60, 70, 80, 90, 100, 120, 140, 160 and 180 minutes following dextrose injection (22, 23). MINMOD MILLENNIUM (version 6.02; kindly provided by R.N. Bergman, Cedars-Sinai, Los Angeles, CA) provided estimates of acute insulin secretory response to glucose (AIRg), insulin sensitivity (SI), glucose effectiveness (SG) and glucose effectiveness at zero insulin (GEZI). The disposition index (DI), a measure of insulin secretion for prevailing insulin resistance, was calculated as the product of AIRg and SI. The apparent distribution space of glucose (Vg) was calculated as Vg= 300 × body weight (kg)/G0, where G0 is the initial glucose concentration during IVGTT (23). Homeostasis model assessment: insulin resistance (HOMA-IR) and beta-cell function (HOMA-β) were calculated (24). The metabolic clearance rate of insulin (MCRI) during IVGTT was calculated as the ratio of insulin dose over incremental insulin AUC from 20 to 180 minutes (25, 26).
Assays
Glucose was measured by glucose oxidation, fasting cholesterol and high-density lipoprotein (HDL) by cholesterol esterase, triglycerides via hydrolysis to glycerol and free fatty acids (Beckman Synchron CX3delta and CX9, Beckman Coulter, Brea, CA), and hemoglobin A1c by high-performance liquid chromatography (HPLC) (Tosho 2.2, Tosoh Bioscience, San Francisco, CA) in Joslin Diabetes Center's clinical laboratory, and hematocrit by ZIPocrit (LW Scientific, Lawrenceville GA). Immunoassays were performed in duplicate, including radioimmunoassay (RIA) for insulin and C-peptide (Diagnostic Systems Laboratories, Webster, TX).
Statistical Analysis
Results are presented as mean ± standard error. Primary comparisons were performed between groups with and without neuroglycopenia using Student's t-test, or linear mixed models repeated measures (MMRM) for variables measured multiple times after mixed meal or intravenous glucose. Nonparametric variations (Mann-Whitney U-test) were used when data departed from normal distribution. Exploratory analysis evaluated subsets of the neuroglycopenia group. Analysis was performed using SPSS (SPSS Inc., Version 17.0. Chicago, IL). Results were considered significant for two-tailed P-values less than 0.05.
Results
Study cohorts include 17 persons with neuroglycopenia post-RYGB, five with a previous history of type 2 diabetes (T2D), and 9 asymptomatic participants of similar age, gender, time post-surgery, and reduction in body mass index with no prior diabetes (Table 1). Neuroglycopenic symptoms typically occurred within 3-hours of meal ingestion and resolved with carbohydrate intake (Table 2). There were no differences in glucose or insulin, estimates of insulin secretion or action (HOMA-β or HOMA-IR), or insulin secretory rates (ISRB) in the fasting state (Table 1).
Table 1.
Clinical and metabolic characteristics of study subjects.
| Neuroglycopenia A (n=17) | Neuroglycopenia –No prior diabetes A (n=12) | Neuroglycopenia –MMTT Hypoglycemia A (n=7) | Asymptomatic A (n=9) | P-valueB | P-valueC | P-valueD | |
|---|---|---|---|---|---|---|---|
| Demographics | |||||||
| Age (years) | 46.9 ± 9.8 | 46.3 ± 10.9 | 45.3 ± 10.8 | 48.8 ± 10.5 | 0.662 | 0.612 | 0.525 |
| Gender (Male/Female) | 1/16 | 0/12 | 0/7 | 3/6 | 0.065E | 0.063E | 0.213E |
| Pre-op diagnosis of type 2 diabetes | 5/17 | NA | 1/7 | 0/9 | 0.129E | NA | 0.438E |
| Years post RYGB | 4.93 ± 2.12 | 5.12 ± 1.68 | 4.37 ± 1.60 | 3.44 ± 2.23 | 0.099 | 0.057 | 0.346 |
| Current BMI (kg/m2) | 32.6 ± 6.0 | 32.5 ± 6.1 | 32.5 ± 6.2 | 28.4 ± 5.3 | 0.091 | 0.124 | 0.173 |
| Reduced BMI (kg/m2) | 18.7 ± 7.9 | 15.2 ± 4.0 | 15.3 ± 2.15 | 16.4 ± 3.8 | 0.407 | 0.502 | 0.500 |
| Waist/Hip ratio | 0.89 ± 0.83 | 0.87 ± 0.08 | 0.87 ± 0.09 | 0.90 ± 0.10 | 0.766 | 0.455 | 0.489 |
| Systolic Blood Pressure (mmHg) | 125.0 ± 16.9 | 123.6 ± 17.2 | 123.0 ± 14.4 | 120.3 ± 14.6 | 0.490 | 0.653 | 0.720 |
| Diastolic Blood Pressure (mmHg) | 75.5 ± 11.2 | 75.3 ± 10.4 | 74.4 ± 12.6 | 74.0 ± 9.1 | 0.727 | 0.776 | 0.938 |
| Fasting Assessments | |||||||
| HbA1c (%) | 5.40 ± 0.30 | 5.43 ± 0.29 | 5.46 ± 0.26 | 5.59 ± 0.37 | 0.168 | 0.268 | 0.729 |
| Cholesterol (mg/dl) | 163.6 ± 21.5 | 166.4 ± 23.0 | 154.3 ± 18.2 | 162.0 ± 29.3 | 0.876 | 0.703 | 0.553 |
| Triglycerides (mg/dl) | 90.6 ± 34.3 | 90.7 ± 40.0 | 86.4 ± 32.8 | 76.7 ± 19.8 | 0.310 | 0.348 | 0.471 |
| HDL-C (mg/dl) | 58.2 ± 17.2 | 62.1 ± 19.0 | 58.6 ± 11.8 | 66.0 ± 23.8 | 0.347 | 0.679 | 0.463 |
| Fasting glucose (mg/dl)G | 74.0 ± 5.9 | 75.7 ± 5.7 | 73.0 ± 3.7 | 72.5 ± 4.5 | 0.521 | 0.179 | 0.933 |
| Fasting insulin (μU/ml)G | 4.53 (3.83, 8.13) | 5.37 (3.83, 10.71) | 3.98 (2.90, 6.45) | 3.58 (2.62, 10.32) | 0.628F | 0.270F | 0.672F |
| HOMA-β (% mU/ml)G | 184.8 (145.5, 220.5) | 168.0 (108.2,355.7) | 148.3 (96.0,387.0) | 209.3 (82.4, 359.0) | 0.235F | 0.943F | 0.958F |
| HOMA-IR (mg×μU×ml-2×103)G | 0.93 (0.66, 1.54) | 1.02 (0.64, 2.13) | 0.72 (0.53, 1.10) | 0.64 (0.47, 1.93) | 0.808F | 0.255F | 0.672F |
| Fasting ISR (pmol×(kg×min)-1)H | 2.60 ± 1.35 | 2.17 ± 0.91 | 2.23 ± 0.51 | 2.12 ± 0.73 | 0.336 | 0.898 | 0.983 |
| Dumping Score (%)H | 80.5 ± 43.8 | 83.7 ± 43.4 | 92.8 ± 42.8 | 68.5 ± 48.8 | 0.527 | 0.459 | 0.314 |
| Vg (kg×106)G | 111.0 ± 25.6 | 102.5 ± 18.5 | 106.3 ± 21.3 | 124.4 ± 27.3 | 0.228 | 0.041 | 0.172 |
Mean ± SD or Median (IQR);
P-value by independent sample t-tests unless specified;
P-value between Neuroglycopenia group and Asymptomatic group;
P-value between Neuroglycopenia with no prior history of diabetes subgroup and Asymptomatic group;
P-value between Neuroglycopenia with hypoglycemia during mixed meal tolerance test (MMTT) subgroup and Asymptomatic group;
Chi-Square;
Mann-Whitney U-test;
Calculated on Day of Intravenous Glucose Tolerance Test;
Calcuated on Day of Mixed Meal Glucose Tolerance Test; to convert HbA1c to International Federation of Clinical Chemistry (IFCC) standard millimole per mole, use (HbA1cminus 2.15) multiplied by 10.919; Scientific International conversion factors: to convert cholesterol and HDL-C to millimoles per liter, multiply by 0.0259;triglycerides to millimoles per liter, 0.0113; glucose to millimoles per liter, 0.0555; insulin to picomole per liter, 6.945. RYGB, Roux-en-Y gastric bypass; BMI, body mass index; HbA1c, hemoglobin A1c; HDL-C, high-density lipoprotein cholesterol; HOMA-β, homeostasis model assessment of beta-cell function; HOMA-IR, homeostasis model assessment of insulin resistance; ISR, insulin secretion rate; Vg, the apparent distribution space of glucose.
Table 2.
Clinical presentation of study participants with neuroglycopenia.
| Subject | Time from surgery to first neuroglycopenic event (yr) | Clinical symptoms | Symptom frequency | Postprandial delay (h) | Lowest glucose level at neuroglycopenic event (mg/dl) | Medical treatment |
|---|---|---|---|---|---|---|
| 1 | 5.2 | Confusion | daily | 1 | 30 | Medical nutrition therapy only |
| 2 | 3.0 | Confusion | 1-2 × weekly | 1 | 23 | Acarbose |
| 3 | 7.0 | Syncope, loss of consciousness | weekly | 2 | 33 | Miglitol |
| 4 | 1 | Weak, sweaty, headache | 4 × weekly to 3 × daily | 1-2 | 40 | Pramlintide, acarbose, octreotide |
| 5 | 2.0 | Seizure, loss of consciousness | 3-4 × weekly | 2 | 44 | Medical nutrition therapy only |
| 6 | 4.0 | Presyncope | 2 × weekly to 6 × daily | 0.3-1 | 28 | Acarbose, octreotide |
| 7 | 0.8 | Seizures, loss of consciousness | weekly | 2 | 26 | Acarbose, diazepam,octreotide, clonazepam |
| 8 | 1.0 | Confusion | 3 × weekly | 1 | 25 | Diazoxide, acarbose, octreotide |
| 9 | 2.5 | Lightheaded, fatigue | 1-2 × weekly | 2-3 | 29 | Acarbose, nifedipine,diazepam |
| 10 | 1.9 | Loss of consciousness | 2-3 × daily | 2-3 | 50 | Acarbose |
| 11 | 3.3 | Visual blurred, sweaty | 3-4 × weekly | 1-2 | 30-40 | Medical nutrition therapy only |
| 12 | 1.0 | Confusion | 1-2 × weekly | 1 | 41 | Acarbose |
| 13 | 2.9 | Visual blurred, sweaty, shaky | 2-3 × daily | 2-3 | 39 | Acarbose, octreotide,diazoxide |
| 14 | 6.6 | Seizures | 3 × weekly | 2-3 | 26 | Acarbose |
| 15 | 6.0 | Dizziness, assistance from others | 3 × daily to 1 × weekly | 1 | 68 | Medical nutrition therapy only |
| 16 | 2.0 | Loss of consciousness | weekly | 0.5-1 | 52 | Acarbose, octreotide |
| 17 | 2.0 | Seizures, loss of consciousness | 2-3 × daily | 2 | 39 | Acarbose, octreotide |
Participants were not symptomatic for hypoglycemia during mixed meal tolerance testing. In response to oral mixed meal, there were no differences in mean glucose concentrations, either overall for the 120 minutes of evaluation (P(MMRM) =0.916), or at any individual time-point (Figure 1A). However, 7/17 (41%) of the neuroglycopenic group had a glucose level below 60 mg/dl [3.33 mmol/L] at 60 and/or 120 minutes, while none of the nine asymptomatic participants had a glucose level below this threshold (χ2P=0.058). One of these 7 individuals with lower glucose levels achieved had diabetes prior to RYGB. C-peptide levels were higher (P(MMRM) =0.028) and insulin tended to be higher (P(MMRM) =0.077) in neuroglycopenic compared to asymptomatic groups (Figure 1B-C). Difference in C-peptide was greatest at 60-120 minutes after meal ingestion, approximately 47% higher in the neuroglycopenic group (AUC C-peptide (60-120 min) 7.5 ± 2.7 versus 5.1 ± 2.7 min×10-4), neuroglycopenic vs asymptomatic, P=0.043)(Figure 1B, Table 3). Corrected insulin response (CIR) (18) was 75% greater (P=0.027), and both C-peptide-to-glucose (P=0.023) and insulin-to-glucose ratios (P=0.047) were higher in neuroglycopenic compared to asymptomatic groups (Figure 1D-F). In contrast, estimated insulin secretion rates were similar between groups (Figure 1G). Insulin clearance did not differ between groups over the entire mixed meal study, the early (0-20 minute), or late (60-120 minute) assessment intervals (Table 3). The composite insulin sensitivity index (CISI) (19) did not differ between groups (Figure 1H). Dumping score also did not differ between groups (Table 1).
Figure 1.
Mixed meal tolerance test (MMTT)-derived data and calculated values for (A) glucose (mg×dl-1), (B) C-peptide (ng×ml-1), (C) insulin (μU×ml-1), (D) the corrected insulin response to glucose (CIR30, 10×mU×ml×mg-2),(E) C-peptide/glucose ratio (×10-4), (F) insulin/glucose ratio (μU×102×mg-1), (G) insulin secretion rate (ISR, pmol×(kg×min)-1), and (H) the composite insulin sensitivity index (CISI, dl×ml×(μU×mg)-1) are provided. P-values were calculated by linear mixed models repeated measures analysis [A-C and E-G]. Boxplots with median (line), mean (x), interquartile range (box) and minimum and maximum (whiskers) are shown [D and H]. P-values were calculated by independent sample t-tests [D] and nonparametric variations (Mann-Whitney U-test) [H].
Table 3.
Baseline and metabolic response to mixed meal and intravenous glucose tolerance tests.
| Neuroglycopenia A (n=17) | Neuroglycopenia –No prior diabetes A (n=12) | Neuroglycopenia –MMTT hypoglycemiaA (n=7) | Asymptomatic A (n=9) | P-valueB | P-valueC | P-valueD | |
|---|---|---|---|---|---|---|---|
| Mixed Meal Tolerance Test | |||||||
| CIR30 (10×mU×ml×mg-2) | 0.022 ± 0.018 | 0.025 ± 0.018 | 0.036 ± 0.018 | 0.012 ± 0.006 | 0.027 | 0.046 | 0.013 |
| CISI [dl×ml×(μU×mg)-1]E | 6.02 (4.18,7.51) | 6.46 (5.17,7.60) | 6.07 (2.59,7.50) | 6.73 (4.03,17.24) | 0.186 | 0.256 | 0.239 |
| Peak postprandial glucose (mg×dl-1) | 150.1 ± 27.6 | 153.7 ± 29.4 | 140.6 ± 20.2 | 147.7 ± 19.1 | 0.815 | 0.601 | 0.484 |
| Peak postprandial insulin (μU×ml-1) E | 162.9 (130.3, 282.0) | 175.7(121.8,284.5) | 163.9(103.5,249.2) | 125.3 (76.4, 190.0) | 0.225 | 0.136 | 0.050 |
| AUC C-peptide/glucose (min×10-4) | 15.0 ± 4.82 | 15.5 ± 5.40 | 17.9 ± 4.31 | 11.2 ± 4.80 | 0.085 | 0.073 | 0.023 |
| AUC C-peptide/glucose (60-120 min) (min×10-4) | 7.52 ± 2.72 | 7.63 ± 3.14 | 8.91 ± 2.55 | 5.10 ± 2.72 | 0.043 | 0.075 | 0.034 |
| Fasting ISR [pmol×(kg×min)-1] | 2.60 ± 1.35 | 2.17 ± 0.91 | 2.23 ± 0.51 | 2.12 ± 0.73 | 0.336 | 0.898 | 0.739 |
| Peak ISR [pmol×(kg×min)-1] | 32.0 ± 9.27 | 33.1 ± 8.61 | 35.8 ± 6.69 | 28.5 ± 9.60 | 0.379 | 0.320 | 0.110 |
| Insulin clearance [pmol×(kg×min)-1] | 0.228 ± 0.087 | 0.221 ± 0.082 | 0.202 ± 0.079 | 0.251 ± 0.110 | 0.567 | 0.435 | 0.335 |
| Insulin clearance (0-30)min [pmol×(kg×min)-1] | 0.222 ± 0.084 | 0.213 ± 0.081 | 0.190 ± 0.087 | 0.253 ± 0.108 | 0.439 | 0.351 | 0.233 |
| Insulin clearance (60-120)min [pmol×(kg×min)-1] | 0.339 ± 0.284 | 0.260 ± 0.171 | 0.436 ± 0.372 | 0.356 ± 0.284 | 0.886 | 0.344 | 0.631 |
| Intravenous Glucose Tolerance Test | |||||||
| Acute Insulin Response (AIRg) (μU×min×ml-1)E | 668.3 (251.2, 777.8) | 568.2 (268.1, 836.7) | 737.9 (234.6,1353.9) | 222.7 (165.6, 394.7) | 0.024 | 0.025 | 0.091 |
| Insulin Sensitivity Index (SI) [103× (mU×min)-1]E | 2.61 (1.57, 3.92) | 2.99 (2.22, 4.16) | 2.30 (1.93,3.63) | 3.92 (3.18, 5.03) | 0.056 | 0.155 | 0.050 |
| Glucose estimate at time zero (G0) (mg×dl-1)E | 231.6 (214.0, 265.8) | 249.6 (231.5, 272.7) | 246.5 (224.9,265.3) | 192.8 (185.0, 210.4) | 0.001 | 0.001 | 0.003 |
| Glucose effectiveness at zero insulin (GEZI) (min-1)E | 0.02 (0.02, 0.03) | 0.025 (0.02, 0.03) | 0.03 (0.02,0.03) | 0.01 (0.01, 0.02) | 0.018 | 0.008 | 0.008 |
| Disposition Index (DI) E | 989.5 (599.5, 1413.3) | 1168.2 (950.9, 2831.2) | 1618.8 (340.0,3111.2) | 844.5 (748.6, 109.9) | 0.374 | 0.102 | 0.266 |
| Glucose Effectiveness (SG) [min-1]E | 0.02 (0.02, 0.03) | 0.03 (0.02, 0.03) | 0.03 (0.02,0.03) | 0.02 (0.01, 0.02) | 0.091 | 0.025 | 0.011 |
| AUC Insulin/Glucose (μU×min×mg-1×102)E | 47.4 (35.0, 67.8) | 54.5 (33.2, 76.5) | 74.1 (64.4, 122.2) | 32.3 (26.2, 45.1) | 0.049 | 0.076 | 0.039 |
| Δ AUC Insulin/Glucose (μU×min×mg-1×102)E | 31.0 (24.6, 45.2) | 37.5 (21.1, 62.7) | 44.2 (27.9, 46.1) | 21.0 (15.0, 27.7) | 0.048 | 0.105 | 0.040 |
| AUC Insulin/Glucose (1-10 min) (μU×min×mg-1×102)E | 2.81 (1.44, 4.12) | 2.78 (1.56, 4.13) | 3.56 (1.42, 5.46) | 1.51 (1.18, 2.44) | 0.095 | 0.082 | 0.204 |
| ΔAUC Insulin/Glucose (1-10 min) (μU×min×mg-1×102)E | 1.87 (0.77, 3.54) | 1.68 (0.82, 3.79) | 2.99 (0.78, 3.94) | 1.03 (0.79, 1.86) | 0.244 | 0.305 | 0.165 |
| AUC Insulin/Glucose (120-180 min) (μU×min×mg-1×102)E | 7.12 (5.20, 10.45) | 6.74 (3.91, 11.23) | 6.00 (3.10, 12.40) | 3.51 (2.35, 7.45) | 0.046 | 0.102 | 0.244 |
| ΔAUC Insulin/Glucose (120-180min) (μU×min×mg-1×102)E | 2.45 (1.79, 3.74) | 2.39 (0.70, 2.74) | 2.40 (0.27, 9.52) | 0.85 (0.25, 2.41) | 0.062 | 0.217 | 0.247 |
| Metabolic Clearance Rate of Insulin (MCRI) (l×min-1)E | 0.72 (0.52, 1.07) | 0.66 (0.38, 1.08) | 0.83 (0.54, 1.03) | 0.96 (0.52, 1.09) | 0.609 | 0.414 | 0.427 |
Mean ± SD or Median (IQR);
P-value by independent sample t-tests unless specified;
P-value between Neuroglycopenia group and Asymptomatic group;
P-value between Neuroglycopenia with no prior history of diabetes subgroup and Asymptomatic group;
P-value between Neuroglycopenia with hypoglycemia during mixed meal tolerance test (MMTT) subgroup and Asymptomatic group;
Mann-Whitney U-test; Scientific International unit conversion factors: to convert glucose to millimoles per liter, multiply by 0.0555; insulin to picomole per liter, 6.945. CIR30, corrected insulin response at 30 min; CISI, composite insulin sensitivity index; AUC, area under the curve; ISR, insulin secretion rate.
The IVGTT was successfully completed in all individuals; no study was terminated prematurely for hypoglycemia after administration of exogenous insulin. Although the dose of dextrose administered did not differ (0.5 g/kg), serum glucose concentrations achieved were higher in neuroglycopenic compared to asymptomatic groups (P(MMRM) =0.007), particularly in the early time period (Figure 2A). G0, the estimated initial glucose concentration, was also higher in the neuroglycopenia group (median 231.6 (IQR 214.0 to 265.8) versus 192.8 (IQR 185.0 to 210.4) mg/dl, neuroglycopenic versus asymptomatic respectively, P=0.001). There was no difference in estimated volume of distribution (Vg) between groups. Insulin concentrations achieved acutely (before exogenous insulin administration) and the acute insulin response to glucose (AIRg) (P=0.024) during IVGTT were also higher in the neuroglycopenia group (Figure 2B, 2D). As insulin sensitivity index (SI) tended to be lower in neuroglycopenic patients, the disposition index did not differ between groups (Figure 2E-G). However, those with neuroglycopenia tended to distribute along the DI curve with greater insulin secretion and resistance compared to lower insulin secretion and resistance in the asymptomatic group (Figure 2G).
Figure 2.
Intravenous glucose tolerance test (IVGTT)-derived values for (A) glucose (mg×dl-1), (B) insulin (μU×ml-1), (C) insulin/glucose ratio (μU×102×mg-1), (D) acute insulin response to glucose (AIRg, μU×min×ml-1), (E) insulin sensitivity index [SI, l03× (mU×min)-1], (F) disposition index (DI), (G) the relationship between AIRg and SI, in individuals with neuroglycopenia (●) or in asymptomatic (○) persons, (H) glucose effectiveness at zero insulin (GEZI, min-1) and (I) glucose effectiveness (Sg, min-1),are provided. P-values were calculated by linear mixed models repeated measures analysis [A-C]. Boxplots with median (line), mean (x), interquartile range (box) and minimum and maximum (whiskers) are shown with P-values calculated by nonparametric variations (Mann-Whitney U-test) [D-F and H-I]. *P<0.05 versus asymptomatic group.
Analysis of additional insulin secretion markers during IVGTT demonstrated the ratio of change in insulin to change in glucose did not differ between groups in the first 10 minutes following intravenous dextrose. However, the area under the curve (AUC) insulin to glucose was increased overall (P=0.049) and approximately double in the last hour of observation (120-180 minutes) (AUC Insulin/Glucose (120-180 min) median 7.1 (IQR 5.2 to 10.5) versus 3.5 (IQR 2.4 to 7.5) μU×min×mg-1×102, P=0.046) in the neuroglycopenic compared with asymptomatic group (Table 3). Higher insulin could not be explained by reduced insulin clearance, as metabolic clearance rate of insulin during IVGTT did not differ between groups (Table 3). Additionally, glucose effectiveness at zero insulin (GEZI) was higher in neuroglycopenic compared with asymptomatic groups (median 0.02 (IQR 0.02 to 0.03) versus 0.01 (IQR 0.01 to 0.02) min-1, neuroglycopenic versus asymptomatic, Mann-Whitney P=0.018), with similar trend for glucose effectiveness (SG) (Figure 2G-H). In consideration of the potential role of glucose effectiveness on insulin secretion, we performed an exploratory analysis and found SG inversely correlated with HOMA-β (r=-0.541, P=0.025) but not AIRg (r=0.146, P=0.576) in the neuroglycopenic group. The opposite was true in the asymptomatic group where SG did not correlate with HOMA-β (r=0.354, P=0.350) but did correlate with AIRg (r=0.764, P=0.017).
Neuroglycopenia Subgroup Analysis
Secondary analysis was performed excluding those with prior diabetes in the neuroglycopenia group (Table 1). Again, glucose concentrations during MMTT were similar between groups (Table 3, Figure 3). C-peptide, insulin, ratios of both C-peptide and insulin to glucose, and corrected insulin response (CIR) were higher in those with neuroglycopenia compared to those without. During IVGTT, the acute insulin response to glucose (AIRg) was higher in neuroglycopenic individuals, but disposition index (DI) did not differ. Glucose effectiveness at zero insulin (GEZI) was higher, and insulin independent glucose disposal (glucose effectiveness, SG) emerged as significantly higher in those with compared to those without neuroglycopenia. Estimates of insulin clearance did not differ between groups.
Figure 3.
Comparison of neuroglycopenic subjects without diabetes prior to RYGB (NG-No-DM) (●) and asymptomatic (ASx) subjects (○). Mixed meal tolerance test (MMTT) [A-G] and Intravenous Glucose Tolerance Test (IVGTT)-derived [H-L] values for (A) glucose (mg×dl-1), (B) C-peptide (ng×ml-1), (C) insulin (μU×ml-1), (D) C-peptide/glucose ratio (×10-4), (E) insulin/glucose ratio (μU×102×mg-1), (F) insulin secretion rate (ISR, pmol×(kg×min)-1), (G) the corrected insulin response to glucose (CIR30, 10×mU×ml×mg-2), (H) acute insulin response to glucose (AIRg, μU×min×ml-1), (I) insulin sensitivity index [SI, 103× (mU×min)-1], (J) disposition index (DI), (K) glucose effectiveness at zero insulin (GEZI, min-1), and (L) glucose effectiveness (SG, min-1) are provided. P-values were calculated by linear mixed models repeated measures analysis [A-F]. Boxplots with median (line), mean (x), interquartile range (box) and minimum and maximum (whiskers) are shown. P-values were calculated by independent sample t-tests [G] and nonparametric variations (Mann-Whitney U-test) [H-L].
A second subgroup analysis was performed considering those that manifest glucose ≤60 mg/dl during MMTT (Table 1). In this subset defined by hypoglycemia during MMTT, glucose concentrations were lower compared to the asymptomatic group (P=0.021)(Table 3, Figure 4). C-peptide, insulin, ratios of both C-peptide and insulin to glucose, and the beta cell estimate CIR were likewise higher those with neuroglycopenia compared to those without. During IVGTT, the acute insulin response to glucose (AIRg) tended higher, but the group was more insulin resistant by the index SI (P=0.050), again with no difference in the disposition index (DI). Estimates of insulin clearance did not differ. However, glucose effectiveness at zero insulin (GEZI) was higher, and glucose effectiveness (SG) was also significantly greater in those with neuroglycopenia.
Figure 4.
Comparison of participants with neuroglycopenia who manifest glucose concentratons less than or equal to 60 mg/dl during mixed meal tolerance test (NG-hypo-MMTT) (●) and asymptomatic (ASx) subjects (○). Mixed meal tolerance test (MMTT) [A-G] and Intravenous Glucose Tolerance Test (IVGTT)-derived [H-L] values for (A) glucose (mg×dl-1), (B) C-peptide (ng×ml-1), (C) insulin (μU×ml-1), (D) C-peptide/glucose ratio (×10-4), (E) insulin/glucose ratio (μU×102×mg-1), (F) insulin secretion rate (ISR, pmol×(kg×min)-1), (G) the corrected insulin response to glucose (CIR30, 10×mU×ml×mg-2), (H) acute insulin response to glucose (AIRg, μU×min×ml-1), (I) insulin sensitivity index [SI, 103× (mU×min)-1], (J) disposition index (DI), (K) glucose effectiveness at zero insulin (GEZI, min-1), and (L) glucose effectiveness (SG, min-1) are provided. P-values were calculated by linear mixed models repeated measures analysis [A-F]. Boxplots with median (line), mean (x), interquartile range (box) and minimum and maximum (whiskers) are shown. P-values were calculated by independent sample t-tests [G] and nonparametric variations (Mann-Whitney U-test) [H-L].
Discussion
This study was performed to evaluate physiologic differences in response to oral and intravenous stimuli in post-RYGB patients with and without severe hypoglycemia with neuroglycopenia. We did not find differences in basal estimates of insulin secretion or action, consistent with clinical observations that hypoglycemia occurs postprandially. However, in response to mixed meal, C-peptide-to-glucose ratio, insulin-to-glucose ratio, and corrected insulin response (CIR) were all higher in patients with neuroglycopenia as compared to those without neuroglycopenia. We find no difference in insulin clearance to account for higher insulin concentrations following mixed meal. With intravenous glucose stimulus, the acute insulin response (AIRg) was also higher in those with neuroglycopenia. However, this higher insulin response was proportionate to the higher glucose concentration achieved at early timepoints during the test, and/or degree of insulin resistance, indicating that intrinsic β-cell secretion is appropriate. Together, these data suggest the pancreatic β-cell response is exaggerated following oral but not with intravenous stimulation.
Our findings are consistent with other reports of exaggerated β-cell response to oral stimuli, and with those that find exaggerated incretin secretion or response in individuals with post-RYGB hypoglycemia (8, 14, 27, 28). Like others (15) we do not find differences in insulin secretion rates following oral stimulation in those with and without neuroglycopenia post-RYGB. Our findings that the β-cell response is not disproportionally exaggerated in response to bolus intravenous glucose, when considered in response to glucose level achieved and magnitude of insulin resistance, are similar to those seen with graded intravenous glucose infusion (29); this prior investigation did not compare response to oral and intravenous stimuli. In contrast to others (15), we do not find differences in insulin clearance rates. Both investigations share similar limitations on estimates of insulin clearance, which may have bias given non-steady state rates of secretion and clearance, and methods which use peripheral (post-hepatic) insulin concentrations. Absence of an exaggerated β-cell response following intravenous glucose is also consistent with the relative normalization of glucose and insulin profiles in response to mixed meal administration via gastrostomy tube into the remnant stomach, as compared to oral administration (12). Previous reports of increased nuclear diameter in β-cells from affected individuals raised the possibility of intrinsic β-cell hyperfunction (16), but our findings of normal response to intravenous glucose stimuli do not support marked cell-autonomous perturbations of β-cell responses to glucose. Together, our findings suggest that functional, reversible abnormalities in β-cell response to orally-administered nutrients contribute substantially to hypoglycemia, but these defects are unlikely to be fully β-cell-autonomous.
Our studies are the first to demonstrate glucose effectiveness at zero insulin to be higher in those with neuroglycopenia post-RYGB, indicating that additional mechanisms of insulin-independent glucose disappearance from the circulation could contribute to more profound hypoglycemia. These include accelerated glucose uptake into multiple tissues, potentially via increased glucose transport or phosphorylation, glycogen synthesis, glucose oxidation, or activity of the pentose phosphate shunt or hexosamine biosynthesis pathways (reviewed in (30)). Interestingly, hyperinsulinemic hypoglycemia due to insulinoma has not been associated with differences in glucose effectiveness (31). These observations are of particular interest given recent demonstration of increased intestinal glucose uptake in rodents post-RYGB (32), suggesting that dysregulation of insulin-independent glucose uptake could be a consistent feature of post-RYGB hypoglycemia. Alternatively, increased bile acids occurring after gastric bypass (33) might induce increased energy expenditure (34). Furthermore, relationships between glucose effectiveness and fasting (HOMA-β) and dynamic (AIRg) estimates of β-cell function differed between neuroglycopenic and asymptomatic groups. Increased insulin sensitivity does not appear to contribute to accelerated glucose disappearance, as the neuroglycopenic group was not more insulin sensitive and in fact tended to be more insulin resistant.
Differences in β-cell functional responses to oral compared with intravenous glucose tolerance test could be due to differences in nutrient composition, with mixed nutrient composition of the MMTT compared with only glucose administered during IVGTT. Stronger potentiation of β-cell function has been demonstrated in healthy persons following mixed meal compared with oral glucose alone (35), potentially due to the added effect of amino acids and fatty acids. However, administration of simple glucose challenge is difficult in post-RYGB patients given the profound dumping and vasomotor response that could also confound potential findings if oral glucose alone were used.
Differences between dynamic insulin response to mixed meal compared to intravenous glucose could also result from route of administration, as incretin action would not contribute to enhanced insulin secretion following intravenous glucose. Incretins were not measured in this study, but other studies have suggested GLP-1 contributes to improved β-cell function post-RYGB (27, 28). Several studies show GLP-1 levels are higher in patients with neuroglycopenia following RYGB (14, 15) although this is not consistently observed (28). Other gut incretins or metabolites could also contribute, but to date have not been found to be higher in patients with post-RYGB hypoglycemia.
Multiple estimates of insulin sensitivity, assessed by fasting (HOMA-IR) or dynamic response to mixed meal (CISI) or IVGTT (SI), demonstrate no difference in insulin action between neuroglycopenic and asymptomatic groups. However, the two dynamic measures CISI and SI both trend toward greater insulin resistance, not sensitivity, in the neuroglycopenic group. We acknowledge that euglycemic-hyperinsulinemic clamps, considered gold-standard for whole-body glucose disposal measures, might detect differences with sufficient sample sizes. However, it is possible that chronic hyperinsulinemia in post-RYGB hypoglycemia could itself contribute to insulin resistance, via downregulation of insulin receptor expression or signaling (36), as seen in transgenic mice overexpressing the insulin gene (yielding two to four-fold elevations in plasma insulin) which develop insulin resistance. Similarly, patients with sustained elevations in plasma insulin due to insulinoma have resistance to administered insulin (31, 37, 38). Alternatively, it is possible that patients developing post-bypass hypoglycemia have higher insulin resistance due to their tendency to higher body weight or potentially due to underlying genetic background. Notably, these patterns are distinct from those in persons with spontaneous postprandial reactive hypoglycemia, who have higher insulin sensitivity (SI) compared to healthy controls (39).
Participants were classified based solely on clinical history. Metabolic responses of glucose, insulin secretion and action, and glucose effectiveness all fell along a continuum and were not distinctly different based on clinical symptomology, suggesting that additional factors not measured including alternate fuel availability, counter-regulation, or neuronal adaptation may impact awareness and cognitive response to hypoglycemia, or that multiple subtle metabolic differences along a normal spectrum of response when present concurrently contribute to the severity of clinical symptoms. One recent study suggests patients with history of symptoms suggestive of hypoglycemia perceive symptoms but do not have physiologic differences (40). However, none of these individuals manifest neuroglycopenia. None of our neuroglycopenic participants were symptomatic during the MMTT, as previously reported (14). There are many potential explanations, but all are speculative. Potential factors contributing to greater severity of hypoglycemia in the ambulatory as compared with the research setting include: 1) meal size and composition, 2) increased gastric distention with solid foods, and 3) increased physical activity. Repeated asymptomatic bouts of hypoglycemia, with secondary loss of adrenergic symptoms, may contribute to the frequency and severity of more profound hypoglycemia. Furthermore, altered consciousness in the ambulatory setting may also reflect volume shifts and relative hypotension in the postprandial state.
Interestingly the glucose level achieved following intravenous glucose bolus administration was higher in patients with neuroglycopenia. This suggests either differences in volume of distribution or diminished immediate glucose clearance. The estimated volume of distribution was not different using established formulas, although these may still be imprecise. Glucose effectiveness was higher while insulin sensitivity tended to be lower, potentially yielding opposing effects on glycemia. Thus the mechanism(s) for higher glucose achieved following intravenous injection cannot be explained at this time. Evaluation of differences in hepatic glucose uptake or insulin suppression of hepatic glucose output might be warranted, although others have not demonstrated differences in endogenous glucose production, either in the basal state or after oral stimulus, in patients with and without hypoglycemia following RYGB (27).
Finally two subgroup analyses, one excluding those with diabetes prior to RYGB and one including only those with hypoglycemia manifest during MMTT, showed highly consistent findings of both increased insulin response to oral compared to intravenous stimuli and enhanced insulin-independent glucose disposal.
In summary, we find higher index of β-cell function in response to oral mixed meal in patients with neuroglycopenia compared to those without neuroglycopenia post-RYGB. In contrast, the insulin secretory response to intravenous glucose is proportionate to the glucose stimulus and to the level of insulin resistance. These findings support a role for gut-derived peptides or metabolites to contribute to increased insulin secretion in the postprandial state, and indicate hypoglycemia is not solely due to intrinsic excessive β-cell function, at least in the majority of individuals. Whether some patients could have additional β-cell defects, either genetic or acquired, which contribute to insulin secretory dysfunction, remains an unanswered question. Finally, increased glucose effectiveness may promote glucose uptake and/or disposal and further contribute to hypoglycemia, providing additional potential novel therapeutic targets.
Bullets.
1. What is known?
Hyperinsulinemic hypoglycemia with neuroglycopenia is a rare complication following Roux-en-Y gastric bypass (RYGB) surgery for weight management.
Increased insulin secretion in response to meals, mediated in part by increased secretion of the incretin hormones glucagon-like peptide-1 (GLP-1), contributes to postprandial hyperinsulinemic hypoglycemia.
The contribution of intrinsic beta cell function and insulin-dependent or -independent glucose disposal to hyperinsulinemic hypoglycemia remains incompletely understood.
2. What does this study add?
Persons with hyperinsulinemic hypoglycemia with neuroglycopenia demonstrate increased beta-cell response to oral stimuli compared to asymptomatic persons who have also previously had RYGB.
The acute insulin secretory response to intravenous glucose is higher in the neuroglycopenic compared with the asymptomatic group, but with the trend for lower insulin sensitivity index there is no difference between groups in the disposition index.
Insulin-independent glucose disposal may also contribute to severe hypoglycemia after Roux-en-Y gastric bypass.
Acknowledgments
MEP and ABG participated in the design and conduct of the study. All authors participated in the data analysis and manuscript preparation. This work was supported by an unrestricted research grant from the American Society of Metabolic and Bariatric Surgery (ASMBS) to MEP, NIH P30-DK036836, and support for the Joslin Clinical Research Center from its philanthropic donors. Ping Li receives support from National Natural Science Foundation of China (grant number 81170779). ISEC can be obtained from Roman Hovorka, PhD, Metabolic Modelling Group, Centre for Measurement and Information in Medicine, Department of Systems Science, City University, Northampton Square, London EC1VOHB, United Kingdom.
Abbreviations
- AIRg
Acute insulin secretory response to glucose
- ASx
Asymptomatic
- AUC
Area under the curve
- BMI
Body mass index
- CIR
Corrected insulin response
- CISI
Composite insulin sensitivity index
- DI
Disposition index
- G0
Glucose concentration at time zero
- GEZI
Glucose effectiveness at zero insulin
- GIP
Gastric inhibitory polypeptide
- GLP-1
Glucagon-like peptide-1
- HbA1c
Hemoglobin A1c
- Hct
Hematocrit
- HDL
High-density lipoprotein
- HOMA-β
Homeostasis model assessment of beta-cell function
- HOMA-IR
Homeostasis model assessment of insulin resistance
- HPLC
High-performance liquid chromatography
- ISEC
Insulin secretion
- ISR
Insulin secretion rate
- IVGTT
Intravenous glucose tolerance test
- MCRI
Metabolic clearance rate of insulin
- MMRM
Mixed model repeated measures
- MMTT
Mixed meal tolerance test
- NG
Neuroglycopenia
- RYGB
Roux-en-Y gastric bypass
- SI
Insulin sensitivity
- SG
Glucose effectiveness
- Vg
The apparent distribution space of glucose
Footnotes
Conflict of Interest: Authors have no conflict of interest to report related to this work.
References
- 1.Patti ME, McMahon G, Mun EC, Bitton A, Holst JJ, Goldsmith J, et al. Severe hypoglycaemia post-gastric bypass requiring partial pancreatectomy: evidence for inappropriate insulin secretion and pancreatic islet hyperplasia. Diabetologia. 2005;48:2236–2240. doi: 10.1007/s00125-005-1933-x. [DOI] [PubMed] [Google Scholar]
- 2.Service GJ, Thompson GB, Service FJ, Andrews JC, Collazo-Clavell ML, Lloyd RV. Hyperinsulinemic hypoglycemia with nesidioblastosis after gastric-bypass surgery. The New England Journal of Medicine. 2005;353:249–254. doi: 10.1056/NEJMoa043690. [DOI] [PubMed] [Google Scholar]
- 3.Marsk R, Jonas E, Rasmussen F, Naslund E. Nationwide cohort study of post-gastric bypass hypoglycaemia including 5,040 patients undergoing surgery for obesity in 1986-2006 in Sweden. Diabetologia. 2010;53:2307–2311. doi: 10.1007/s00125-010-1798-5. [DOI] [PubMed] [Google Scholar]
- 4.Sarwar H, Chapman WH, 3rd, Pender JR, Ivanescu A, Drake AJ, 3rd, Pories WJ, et al. Hypoglycemia after Roux-en-Y gastric bypass: the BOLD experience. Obesity Surgery. 2014;24:1120–1124. doi: 10.1007/s11695-014-1260-8. [DOI] [PubMed] [Google Scholar]
- 5.Kellogg TA, Bantle JP, Leslie DB, Redmond JB, Slusarek B, Swan T, et al. Postgastric bypass hyperinsulinemic hypoglycemia syndrome: characterization and response to a modified diet. Surgery for Obesity and Related Diseases. 2008;4:492–499. doi: 10.1016/j.soard.2008.05.005. [DOI] [PubMed] [Google Scholar]
- 6.Abrahamsson N, Engstrom BE, Sundbom M, Anders K. Continuous Glucose Measuring Reveals Frequent, and Mainly Unnoticed Hypoglycemias After Bariatric Surgery Diabetes. 2014;63:A27. [Google Scholar]
- 7.Guseva N, Phillips D, Mordes JP. Successful treatment of persistent hyperinsulinemic hypoglycemia with nifedipine in an adult patient. Endocrine Practice. 2010;16:107–111. doi: 10.4158/EP09110.CRR. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Goldfine AB, M E, Patti ME. Hyperinsulinemic hypoglycemia following gastric bypass surgery for obesity. Current Opinion in Endocrinology & Diabetes. 2006;13:419–424. [Google Scholar]
- 9.Botros N, Rijnaarts I, Brandts H, Bleumink G, Janssen I, de Boer H. Effect of Carbohydrate Restriction in Patients with Hyperinsulinemic Hypoglycemia after Roux-en-Y Gastric Bypass. Obesity Surgery. 2014;24:1850–5. doi: 10.1007/s11695-014-1319-6. [DOI] [PubMed] [Google Scholar]
- 10.Patti ME, Goldfine AB. Hypoglycemia after gastric bypass: the dark side of GLP-1. Gastroenterology. 2014;146:605–608. doi: 10.1053/j.gastro.2014.01.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Lee CJ, Brown T, Magnuson TH, Egan JM, Carlson O, Elahi D. Hormonal response to a mixed-meal challenge after reversal of gastric bypass for hypoglycemia. The Journal of Clinical Endocrinology and Metabolism. 2013;98:E1208–1212. doi: 10.1210/jc.2013-1151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.McLaughlin T, Peck M, Holst J, Deacon C. Reversible hyperinsulinemic hypoglycemia after gastric bypass: a consequence of altered nutrient delivery. The Journal of Clinical Endocrinology and Metabolism. 2010;95:1851–1855. doi: 10.1210/jc.2009-1628. [DOI] [PubMed] [Google Scholar]
- 13.Z'Graggen K, Guweidhi A, Steffen R, Potoczna N, Biral R, Walther F, et al. Severe recurrent hypoglycemia after gastric bypass surgery. Obesity Surgery. 2008;18:981–988. doi: 10.1007/s11695-008-9480-4. [DOI] [PubMed] [Google Scholar]
- 14.Goldfine AB, Mun EC, Devine E, Bernier R, Baz-Hecht M, Jones DB, et al. Patients with neuroglycopenia after gastric bypass surgery have exaggerated incretin and insulin secretory responses to a mixed meal. The Journal of Clinical Endocrinology and Metabolism. 2007;92:4678–4685. doi: 10.1210/jc.2007-0918. [DOI] [PubMed] [Google Scholar]
- 15.Salehi M, Gastaldelli A, D'Alessio DA. Altered islet function and insulin clearance cause hyperinsulinemia in gastric bypass patients with symptoms of postprandial hypoglycemia. The Journal of Clinical Endocrinology and Metabolism. 2014;99:2008–2017. doi: 10.1210/jc.2013-2686. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Meier JJ, Butler AE, Galasso R, Butler PC. Hyperinsulinemic hypoglycemia after gastric bypass surgery is not accompanied by islet hyperplasia or increased beta-cell turnover. Diabetes Care. 2006;29:1554–1559. doi: 10.2337/dc06-0392. [DOI] [PubMed] [Google Scholar]
- 17.Reubi JC, Perren A, Rehmann R, Waser B, Christ E, Callery M, et al. Glucagon-like peptide-1 (GLP-1) receptors are not overexpressed in pancreatic islets from patients with severe hyperinsulinaemic hypoglycaemia following gastric bypass. Diabetologia. 2010;53:2641–2645. doi: 10.1007/s00125-010-1901-y. [DOI] [PubMed] [Google Scholar]
- 18.Hanson RL, Pratley RE, Bogardus C, Narayan KM, Roumain JM, Imperatore G, et al. Evaluation of simple indices of insulin sensitivity and insulin secretion for use in epidemiologic studies. American Journal of Epidemiology. 2000;151:190–198. doi: 10.1093/oxfordjournals.aje.a010187. [DOI] [PubMed] [Google Scholar]
- 19.Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care. 1999;22:1462–1470. doi: 10.2337/diacare.22.9.1462. [DOI] [PubMed] [Google Scholar]
- 20.Van Cauter E, Mestrez F, Sturis J, Polonsky KS. Estimation of insulin secretion rates from C-peptide levels. Comparison of individual and standard kinetic parameters for C-peptide clearance Diabetes. 1992;41:368–377. doi: 10.2337/diab.41.3.368. [DOI] [PubMed] [Google Scholar]
- 21.Linehan IP, Weiman J, Hobsley M. The 15-minute dumping provocation test. The British Journal of Surgery. 1986;73:810–812. doi: 10.1002/bjs.1800731017. [DOI] [PubMed] [Google Scholar]
- 22.Bergman RN. Minimal model: perspective from 2005. Hormone Research. 2005;64(Suppl 3):8–15. doi: 10.1159/000089312. [DOI] [PubMed] [Google Scholar]
- 23.Boston RC, Stefanovski D, Moate PJ, Sumner AE, Watanabe RM, Bergman RN. MINMOD Millennium: a computer program to calculate glucose effectiveness and insulin sensitivity from the frequently sampled intravenous glucose tolerance test. Diabetes Technology & Therapeutics. 2003;5:1003–1015. doi: 10.1089/152091503322641060. [DOI] [PubMed] [Google Scholar]
- 24.Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28:412–419. doi: 10.1007/BF00280883. [DOI] [PubMed] [Google Scholar]
- 25.Lee CC, Haffner SM, Wagenknecht LE, Lorenzo C, Norris JM, Bergman RN, et al. Insulin clearance and the incidence of type 2 diabetes in Hispanics and African Americans: the IRAS Family Study. Diabetes Care. 2013;36:901–907. doi: 10.2337/dc12-1316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Lorenzo C, Hanley AJ, Wagenknecht LE, Rewers MJ, Stefanovski D, Goodarzi MO, et al. Relationship of insulin sensitivity, insulin secretion, and adiposity with insulin clearance in a multiethnic population: the insulin Resistance Atherosclerosis study. Diabetes Care. 2013;36:101–103. doi: 10.2337/dc12-0101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Salehi M, Gastaldelli A, D'Alessio DA. Blockade of glucagon-like peptide 1 receptor corrects postprandial hypoglycemia after gastric bypass. Gastroenterology. 2014;146:669–680 e662. doi: 10.1053/j.gastro.2013.11.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Salehi M, Prigeon RL, D'Alessio DA. Gastric bypass surgery enhances glucagon-like peptide 1-stimulated postprandial insulin secretion in humans. Diabetes. 2011;60:2308–2314. doi: 10.2337/db11-0203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Kim SH, Abbasi F, Lamendola C, Reaven GM, McLaughlin T. Glucose-stimulated insulin secretion in gastric bypass patients with hypoglycemic syndrome: no evidence for inappropriate pancreatic beta-cell function. Obesity Surgery. 2010;20:1110–1116. doi: 10.1007/s11695-010-0183-2. [DOI] [PubMed] [Google Scholar]
- 30.Bouche C, Serdy S, Kahn CR, Goldfine AB. The cellular fate of glucose and its relevance in type 2 diabetes. Endocrine Reviews. 2004;25:807–830. doi: 10.1210/er.2003-0026. [DOI] [PubMed] [Google Scholar]
- 31.Vethakkan SR, Walters JM, Gooley JL, Boston RC, Ward GM. Application of the intravenous glucose tolerance test and the minimal model to patients with insulinoma: insulin sensitivity (Si) and glucose effectiveness (Sg) before and after surgical excision. Clinical Endocrinology. 2009;70:47–52. doi: 10.1111/j.1365-2265.2008.03287.x. [DOI] [PubMed] [Google Scholar]
- 32.Saeidi N, Meoli L, Nestoridi E, Gupta NK, Kvas S, Kucharczyk J, et al. Reprogramming of intestinal glucose metabolism and glycemic control in rats after gastric bypass. Science. 2013;341:406–410. doi: 10.1126/science.1235103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Patti ME, Houten SM, Bianco AC, Bernier R, Larsen PR, Holst JJ, et al. Serum bile acids are higher in humans with prior gastric bypass: potential contribution to improved glucose and lipid metabolism. Obesity (Silver Spring) 2009;17:1671–1677. doi: 10.1038/oby.2009.102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Watanabe M, Houten SM, Mataki C, Christoffolete MA, Kim BW, Sato H, et al. Bile acids induce energy expenditure by promoting intracellular thyroid hormone activation. Nature. 2006;439:484–489. doi: 10.1038/nature04330. [DOI] [PubMed] [Google Scholar]
- 35.Mari A, Schmitz O, Gastaldelli A, Oestergaard T, Nyholm B, Ferrannini E. Meal and oral glucose tests for assessment of beta -cell function: modeling analysis in normal subjects. American Journal of Physiology Endocrinology and Metabolism. 2002;283:E1159–1166. doi: 10.1152/ajpendo.00093.2002. [DOI] [PubMed] [Google Scholar]
- 36.Shanik MH, Xu Y, Skrha J, Dankner R, Zick Y, Roth J. Insulin resistance and hyperinsulinemia: is hyperinsulinemia the cart or the horse? Diabetes Care. 2008;31(Suppl 2):S262–268. doi: 10.2337/dc08-s264. [DOI] [PubMed] [Google Scholar]
- 37.Bar RS, Gorden P, Roth J, Siebert CW. Insulin receptors in patients with insulinomas: changes in receptor affinity and concentration. The Journal of Clinical Endocrinology and Metabolism. 1977;44:1210–1213. doi: 10.1210/jcem-44-6-1210. [DOI] [PubMed] [Google Scholar]
- 38.Skrha J, Sindelka G, Haas T, Hilgertova J, Justova V. Comparison of insulin sensitivity in patients with insulinoma and obese Type 2 diabetes mellitus. Hormone and Metabolic. 1996;28:595–598. doi: 10.1055/s-2007-979860. [DOI] [PubMed] [Google Scholar]
- 39.Brun JF, Bouix O, Monnier JF, Blachon C, Jourdan N, Baccara MT, et al. Increased insulin sensitivity and basal insulin effectiveness in postprandial reactive hypoglycaemia. Acta Diabetologica. 1996;33:1–6. doi: 10.1007/BF00571932. [DOI] [PubMed] [Google Scholar]
- 40.Laurenius A, Werling M, Le Roux CW, Fandriks L, Olbers T. More symptoms but similar blood glucose curve after oral carbohydrate provocation in patients with a history of hypoglycemia-like symptoms compared to asymptomatic patients after Roux-en-Y gastric bypass. Surgery for Obesity and Related Diseases. 2014;10:1047–1054. doi: 10.1016/j.soard.2014.04.007. [DOI] [PubMed] [Google Scholar]




