Post-bariatric hypoglycemia (PBH) is an increasingly recognized syndrome that is incompletely understood. The purpose of this study is to increase our level of understanding by investigating mechanisms contributing to this condition. Participation in this study will take place over four visits, which will include the following: * Wearing of a continuous glucose monitoring device; * Providing a stool sample (collected at home); * Measuring glucose and hormone levels in response to a meal; * Measuring glucose and hormone levels in response to an injection of glucagon; * Measuring hormone levels while glucose levels are gradually lowered, and during a controlled period of a low glucose level (hypoglycemic clamp). Investigators will test the hypothesis that counterregulatory hormone responses are impaired in individuals with PBH, and that differences in the intestinal bacteria (microbiome) may contribute to this condition.
Bariatric surgery is increasingly recognized as a potent tool for the treatment of type 2 diabetes (T2D), yielding not only weight loss but also rapid improvements in glycemia allowing discontinuation of diabetes-related medication within days after surgery. However, along with this metabolic success comes an increased incidence of severe hypoglycemia (termed post-bariatric hypoglycemia; PBH) for a subset of individuals. The goal of these studies is to identify physiological and molecular mechanisms that underlie PBH, to determine whether these changes also contribute to surgery-induced improvements in glucose regulation (homeostasis), and to define potential new therapeutic interventions for PBH. Participation in this study will take place over four visits, which will include the following: * Detailed history, physical exam, and laboratory testing to determine study eligibility * Assessment of glucose patterns using a masked continuous glucose monitor; * Analysis of a stool sample (collected at home); * Measuring glucose and hormone levels in response to a meal; * Measuring glucose and hormone levels in response to an injection of glucagon; * Measuring hormone levels while glucose levels are gradually lowered, and during a controlled period of a low glucose level (hypoglycemic clamp). Investigators will test the hypothesis that counterregulatory hormone responses are impaired in individuals with PBH, and that differences in the intestinal bacteria (microbiome) and hormones produced in response to a meal may contribute to this condition.
Study Type
OBSERVATIONAL
Enrollment
105
A CGM sensor (Dexcom G4 or other professional version available at onset of study) will be placed during visit 1 in blinded (masked) mode, and will be worn for 10 days. Data will be analyzed to determine patterns of glucose during both day and night intervals.
The activity monitor (Fitbit Charge 2) will be worn by participants for 10 days to assess activity, concurrent with CGM sensor wear.
After an overnight fast, participants will be given a standard liquid mixed meal; blood samples will be collected at baseline (fasting) and at defined time points after a meal for metabolic and hormonal analyses.
After baseline blood sampling, glucagon will be administered by injection, and blood samples will be collected for analysis of glucose and hormone responses. This will allow us to assess whether sensitivity to glucagon is altered in PBH.
This test will assess hormonal responses to hypoglycemia. Participants will arrive after an overnight fast. After baseline blood sampling, an infusion of insulin and glucose will be started, and infusions will be adjusted to allow glucose levels to drop very gradually. Blood samples will be collected for measurement of hormonal responses to lowering of glucose. This test will allow us to determine whether secretion of hormones which counteract hypoglycemia (counterregulatory hormones) is reduced in patients with PBH as compared with other groups.
Participants will be asked to provide a fecal sample, collected at home, which will be analyzed to determine the types of bacteria present in the feces.
Joslin Diabetes Center
Boston, Massachusetts, United States
Metabolic responses during experimental hypoglycemia induced by hypoglycemic clamp and/or mixed meal testing
Metabolites will be measured at set time points after the start of insulin or mixed meal. For the hypoglycemic clamp, a time-trend analysis will be performed to identify the glucose level at which each metabolite rises significantly above the linear average of its preceding values. Linear mixed effects modeling will be utilized to identify group- and time-dependent differences in metabolite responses. Data will be checked to ensure variables conform to assumptions of the analysis. Sensitivity analysis will determine whether missing data are randomly associated with clinical or experimental phenotypes, and assess the impact of missing data on conclusions. Relationships between clinical and metabolic variables will be analyzed using Pearson correlation, and adjusted for multiple comparisons using Benjamini-Hochberg testing.
Time frame: July 2023
Hormonal responses during experimental hypoglycemia induced by hypoglycemic clamp and/or mixed meal testing
Counterregulatory hormones will be measured at set time points after the start of insulin or mixed meal. For the hypoglycemic clamp, a time-trend analysis will be performed to identify the glucose level at which each hormone rises significantly above the linear average of its preceding values. Linear mixed effects modeling will be utilized to identify group- and time-dependent differences in counterregulatory hormone responses. Data will be checked to ensure variables conform to assumptions of the analysis. Sensitivity analysis will determine whether missing data are randomly associated with clinical or experimental phenotypes, and assess the impact of missing data on conclusions. Relationships between clinical and hormonal variables will be analyzed using Pearson correlation, and adjusted for multiple comparisons using Benjamini-Hochberg testing.
Time frame: July 2023
Assessment of glucagon responsiveness during glucagon stimulation testing
Glucose response to glucagon will be assessed by measurement of glucose levels at baseline, and at set time points after glucagon injection. Linear mixed effects modeling will be utilized to identify group- and time-dependent differences in glucose response to glucagon. Relationships between clinical variables and glucose levels in response to glucagon will be analyzed using Pearson correlation, and adjusted for multiple comparisons using Benjamini-Hochberg testing.
Time frame: July 2023
Assessment of hormonal responses during glucagon stimulation testing
Hormonal response to glucagon will be assessed by measurement of hormone levels at baseline, and at a set time point after glucagon injection. Linear mixed effects modeling will be utilized to identify group- and time-dependent differences in hormonal response to glucagon. Relationships between clinical variables, glucose levels, and hormonal levels in response to glucagon will be analyzed using Pearson correlation, and adjusted for multiple comparisons using Benjamini-Hochberg testing.
Time frame: July 2023
Analysis of microbiome differences in patients with PBH
Microbiome will be characterized by sequencing to obtain metagenomic data and pathway analysis; all data will be adjusted for multiple comparisons.
Time frame: July 2023
Correlation between counterregulatory hormone response to experimental hypoglycemia and magnitude of hypoglycemia as determined by continuous glucose monitoring (CGM)
CGM data will be analyzed to assess mean, median, peak, and nadir sensor glucose values, glycemic variability (GV), severity and length of hypoglycemia (% time glucose \<70, \<60, \<54 mg/dL), and number and duration of severe hypoglycemia (sensor glucose \<54, duration \>15 minutes) will be quantified. Metrics will be assessed over 24 hours and during daytime (6 AM to midnight) and nighttime (midnight to 6 AM) independently. Magnitude of hypoglycemia will be correlated with counterregulatory hormone levels during experimental hypoglycemia.
Time frame: July 2023
Correlation between hypoglycemia frequency (as determined by CGM) and microbiome
Metagenomic data will be correlated with hypoglycemia frequency determined by CGM.
Time frame: July 2023
Correlation between hypoglycemia frequency (as determined by CGM) and counterregulatory hormones.
Hypoglycemia data (from CGM) will be correlated with counterregulatory hormone response to experimental hypoglycemia.
Time frame: July 2023
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