Type 1 Diabetes Mellitus Clinical Trial
Official title:
Meal Glucose Regulation in Type 1 Diabetes on Insulin Pump Therapy: Towards a Better Understanding of the Glucose-Insulin System.
BACKGROUND. Optimal glucose control can prevent/relent tissue damage in patients with type 1
diabetes mellitus (T1DM). Ongoing efforts aim at developing closed loop control (CLC)
algorithms linking subcutaneous continuous glucose monitoring (CGM) and insulin delivery
(CSII). Substantial improvement towards an effective artificial pancreas system is still
needed, especially in the regulation of post-meal glucose. Application of metabolic control
analysis (MCA) can unveil and quantify distortions in the system properties of the
glucose-insulin (pump) system (GIS), by measuring the coefficients of control (CCs) of
glucose. Our approach rely on previous experience with our previous pilot protocol
(NCT01800734).
AIM. We will outline and compare features of GIS in T1DM patients and in healthy controls
during differently sized breakfast meals and during 24-hour periods. The reproducibility of
our approach will also be assessed.
METHODOLOGY. Three protocols will be carried out. All T1DM patients will be on CGM/CSII
therapy. In all three protocols, study 1 will be an euglycemic insulin clamp in T1DM patients
and a frequently sampled intravenous glucose tolerance test (IVGTT) in healthy controls.
- Protocol 1: 10 T1DM patients on CGM/CSII and 10 control subjects will ingest a mixed
meal of different size (320 and 640 kcal) on two separate occasions.
- Protocol 2: 5 T1DM patients will ingest two repeat 320 kcal meals, whereas other 5 T1DM
patients will ingest two 640 kcal meals on two separate occasions.
- Protocol 3: 10 T1DM patients and 10 controls will be monitored for 24 hours, during
which they will ingest 3 mixed meals.
Substrate (including CGM)/hormone responses will be measured in all studies. Comprehensive
single meal and 24-hour models of GIS will be built, MCA will be applied and the CCs of
glucose assessed, thereby allowing to outline and to compare the CCs of glucose between
patients and controls.
EXPECTED RESULTS. Our data will be of use in devising novel clinical strategies in T1DM,
including, but not limited to, development and refinement of CLC algorithms along the path
towards an effective artificial pancreas system.
BACKGROUND: Ideally, optimal treatment of T1DM should achieve near-normal glucose with no
hypoglycemias and preserved quality of life. In the clinical arena, even the currently
available most complex strategy, i.e. glucose sensor augmented insulin pump therapy, in which
patients wear both a pump for subcutaneous insulin delivery (CSII) and a subcutaneous glucose
sensor for continuous glucose monitoring (CGM), does not fully meet the patients' needs.
Artificial pancreas (AP) or integrated closed loop control (CLC) algorithms -which take into
account CGM readings and the effects of previous insulin infusions to continuously compute
the amount of insulin dose to be administered- aim to minimize, in real time, glucose
variability and prevent extreme glucose excursions. A number of research groups have been
brilliantly working for years to develop a wearable AP to partially, or totally, free the
patient (and/or the caregiver) from the burden of the open loop control. However, a perfect
glucose control is still lacking, especially in post-meal glycemic excursions. Further
insights might be gained by studies of the substrate/hormone responses to meals in T1DM
patients on sensor augmented CSII, possibly compared with the gold standard of normal
physiology, with special regard to the relative role played by a number of factors of the
glucose-insulin pump system in controlling glucose levels.
Metabolic control analysis (MCA) is a theoretical framework which aims at quantitatively
describing metabolic systems and at gauging distribution of control. MCA quantifies the role
of each component of a system (e.g.: absorption rate of the fast insulin analogue,
carbohydrate absorption through the gut, etc.) in controlling a variable of interest, most
notably fluxes or concentrations, of the system itself, by computing the scaled coefficient
of controls (CCs). CCs typically range from -1 to +1, and the greater their absolute value,
the stronger is the control. Application of MCA to T1DM patients on CGM/CSII could quantify
the individual role played by each components of the system, and may help in understanding
and potentially overcome the hindrances to achieve stable and tight glucose control and to
further develop CLC algorithms for optimal management of the disease.
AIM: To investigate characteristics and determinants of the glucose-insulin pump system in
patients with T1DM with CGM with particular emphasis on the system level (i.e. glucose CCs).
We will perform single mixed meal tolerance tests as well as 24-hour studies in T1DM patients
and in healthy controls. We will apply mathematical modelling tools developed by us and will
create virtual patients and virtual controls from this database to gain further insights into
the alterations of the glucose-insulin pump system in patients.
SPECIFIC AIMS:
- AIM 1: To outline and compare the features of the glucose-insulin system in T1DM
patients and in healthy controls during breakfast meals of different sizes
- AIM 2: To test the reproducibility of model assessed glucose-insulin pump system in T1DM
patients
- AIM 3: To outline and compare the features of the glucose-insulin system in T1DM
patients and in healthy controls during 24-hour periods
HYPOTHESIS: We hypothesize that in T1DM patients on CGM and CSII:
1. there are distortions in the distribution of plasma glucose control, as assessed by MCA,
when compared to healthy individuals;
2. the distribution of control is different between plasma glucose and glucose derived from
presently used CGM, which is the putative signal to be used in CLC algorithms of a
wearable AP;
3. both the above mentioned putative alterations need be taken into account to develop
effective and safe CLC algorithms.
METHODS: This research is articulated in three distinct protocols. All subjects will be on an
isocaloric, maze and cane sugar free diet for one week before study. All T1DM patients will
be on CGM/CSII and will be recruited from the patient population attending our Outpatient
Insulin Pump Therapy Clinic. Each patient will continue to use his/her own pump device,
insulin analogue and glucose sensor. All studies will start at 07:00 AM after an overnight
fast (≥ 10 hours). All blood samples will be collected in refrigerated tubes and promptly
spun at 1500 g; plasma will be separated and stored at -80° C. According to the planned use
of plasma, tubes for blood samples will contain ethylenediaminetetraacetic acid (EDTA) for
anticoagulation±antiglicolytic agent±serine protease and DPP4 inhibitors.
-PROTOCOL 1: Investigation of the glucose-insulin system during two mixed meal tests in T1DM
patients and in healthy controls.
10 T1DM patients and 10 healthy age gender and BMI matched control subjects will be
recruited. Patients will be on their usual insulin pump therapy, and the rate of the basal
insulinization will be kept constant from 02:00 AM until the end of studies. All subjects
will be studied on 3 separate occasions at 1-2 weeks intervals. In patients, study 1 will be
a standard 120 min euglycemic insulin clamp. Timed blood samples will be collected to measure
insulin levels at 10'-30' intervals. Plasma glucose will be measured at bedside by a YSI
Glucose Analyzer; subcutaneous glucose will be monitored by CGM. In controls, study 1 will be
a frequently sampled IVGTT of 240 min of duration. Timed blood samples (n=27) for glucose,
C-peptide and insulin will be collected. Studies 2 and 3 will be identical in both patients
and controls. They will be performed in randomized order and will last 360'. After a 60 min
baseline period, at time 0' subjects will ingest either a 320 kcal (study 2) or a 640 kcal
(study 3) meal. Meal composition (%Kcal: 53.3% carbohydrate, 28.2% lipid, 18.5% protein) will
be Indian corn polenta plus parmesan cheese. Patients will program their pump to inject at
time 0' a meal insulin bolus dose, calculated as usual. Blood samples (n=20) will be
collected at timed intervals to measure plasma glucose, 13C/12C-glucose ratio, insulin,
glucagon and C-peptide (the latter one only in control subjects). At a lower time frequency,
triglycerides, non-esterified fatty acids (NEFA), active glucagon-like peptide-1 (GLP1) and
total gastric inhibitory peptide (GIP) will also be measured. Subcutaneous glucose will be
monitored by CGM only in patients. Data derived from IVGTT in controls will take the role
played by the insulin clamp data in T1DM patients. Past experiments and also unpublished
observations in our laboratory have shown that similar values of insulin sensitivity are
obtained with IVGTT and insulin clamps in healthy people. The other difference is that,
instead of the insulin pump, a beta cell secretion minimal model will be used, as previously
described. The availability of 12C/13C-glucose ratio determinations will enrich further this
picture, allowing to compute the contribution of meal carbohydrate to total plasma glucose
and, by difference, the contribution of endogenous (primarily liver) production to total
glucose. This data enrichment will result into further model development at step 3 (in both
controls and patients) and will allow to split total insulin action into its two components,
the one acting on endogenous glucose production and the one acting on glucose utilization.
The former will be relevant to interpret the glucagon and, possibly, also the active GLP1
data.
With this strategy, it is possible to compute all relevant CCs of G(t), for both plasma and
CGM values. Phenotypic results are layered in three levels of ascending complexity:
1. Model-free measurements: meal substrate and hormone levels, with particular regard to
glucagon and active GLP1 for their action on liver glucose production and to total GIP,
as a regulator of fat cell metabolism;
2. Model-derived estimates of single traits of the glucose/insulin system: they include,
but are not limited to, glucose-sensitivity (SG), insulin sensitivity (SI), carbohydrate
transit time to reach systemic circulation, mean transit time of insulin to reach
systemic circulation from the subcutaneous depot (only patients);
3. Model-derived assessment of system properties of the glucose-insulin system (controls)
and of the glucose-insulin pump system (T1DM) patients: they include all the glucose
(also CGM glucose in patients) coefficients of control.
PROTOCOL 2: Reproducibility of the assessment of the glucose-insulin system during a single
mixed meal test in T1DM patients.
10 T1DM patients on insulin pump therapy and subcutaneous continuous glucose monitoring (CGM)
will be recruited. The study protocol is identical to protocol 1 with the following
exceptions: 1. in 5 T1DM patients study 2 and study 3 will be two repeated 320 kcal meals; 2.
in 5 T1DM patients study 2 and study 3 will be two repeated 640 kcal meals. The phenotypic
results will be layered as in protocol 1 for reproducibility analysis.
-PROTOCOL 3: The glucose-insulin system during a 24-hour period in T1DM patients and in
controls.
10 T1DM patients and 10 healthy age gender and BMI matched control subjects will be
recruited. All subjects will be studied on 2 separate occasions at 1-2 weeks intervals. Both
in patients and in controls, study 1 will be identical to protocol 1 (i.e. an insulin clamp
and an IVGTT, respectively). In study 2 all subjects will be admitted to the Clinical
Research Center (CRC) on the morning of the study (07:00 AM) and will stay there for its
entire duration (24 hours). Subjects will be allowed to move freely within the CRC, but they
will not be engaged in any physical exercise. Patients will continue their usual insulin
therapy, including meal insulin dose calculation and injection, throughout the study. At
08:00 AM, 13:00 and 19:00 subjects will ingest three mixed meals (200 kcal/m-2 of Body
Surface Area (BSA), 400 kcal/m-2 BSA and 400 kcal/m-2 BSA, respectively; diet composition:
54% carbohydrate, 28% lipid, 18% protein). In 6 patients and in 6 controls, the 13:00 meal
will be Indian corn polenta plus seasoned Italian DOP parmesan cheese. In the other 6
patients and 6 controls, the 19:00 meal will be Indian corn polenta plus seasoned Italian DOP
parmesan cheese. Timed blood samples (n=62) will be collected. Plasma glucose, insulin,
glucagon and C-peptide (the latter one only in control subjects) will be measured at all time
points. At a lower time frequency, triglycerides, non-esterified fatty acids (NEFA), amino
acids, active GLP1 and total GIP will also be measured. In those subjects ingesting the
polenta meal at 13:00, the 13C/12C-glucose ratio will be measured from 12:00 until 24:00. In
those subjects ingesting the polenta meal at 19:00, the 13C/12C-glucose ratio will be
measured from 18:00 until 07:00 the morning after. Subcutaneous glucose will be monitored by
CGM only in patients. The polenta meal will be used only in one meal per day to avoid loss of
interpretability of 13C/12C-glucose ratio data, owing to ongoing glucose carbon
recirculation/recycling through glycogen/gluconeogenesis. The behaviour of the
glucose/insulin system at breakfast time is already explored in Protocol 1. Results will be
layered and analyzed as described in Protocol 1.
EXPECTATIONS: The combined analysis of insulin clamp and mixed meal test (MMT) data will
allow to build a comprehensive model of the glucose insulin system during a MMT in each
subject, which will thereby work as an in silico virtual patient, according to a well
established methodology developed in our laboratory. The collection of virtual patients with
type 1 diabetes undergoing a MMT will form the in silico biobank derived from this study.
Virtual patients will be used to carry out MCA to compute CCs. Furthermore, the incretin
hormone, glucagon and substrate response to a mixed meal will be quantified, allowing the
putative identification of further modifiers of the glucose-insulin system. This database
will be instrumental in devising a control algorithm able to guarantee a normal glucose
regulation during a mixed meal in patients with type 1 diabetes with CGM on insulin pump
therapy.
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