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| Name | Class |
|---|---|
| Diabeter Nederland BV | OTHER |
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This study looks at whether people with type 1 diabetes have different gut bacteria. We also want to see if this is linked to keeping insulin production up and preventing complications like heart disease and nerve damage. The aim is to find ways to keep more of the functions working, avoid low blood sugar and reduce diabetes complications.
Rationale: It has become apparent that most individuals with type 1 diabetes mellitus (T1D) have some remaining β-cell function. Individuals with T1D and a preserved β-cell function have a lower risk of hypoglycemia and diabetic complications. The factors regulating residual β-cell function are unknown. A likely mechanism leading to β-cell preservation is regulation of immunological tone by the gut microbiome. Recently we published in a small pilot cohort (GUTDM1, METC 2020_105) that residual β-cell function is linked to better glycemic control (time in range) and linked to specific gut microbiota composition. Since this cohort was too small to also show a link with presence of diabetic complications and recruit enough individuals with preserved β-cell function for confirmatory intervention trials to increase β-cell function, we will now aim to recruit a larger follow-up cohort. The aim of this cohort is to a) investigate whether residual β-cell function is associated with gut microbiome composition and circulating immune cell counts in individuals with T1D and diabetic complications b) identify 500 potential eligible individuals with preserved β-cell function for future intervention trials.
Objective:
Study design: 10-year longitudinal observational multicenter cohort study
Study population: 5000 individuals with type 1 diabetes >18 years of age, visiting the outpatient clinic of Diabeter center Amsterdam and Diabeter Nederland.
Main study parameters/endpoints: The primary endpoint is long-term residual β-cell function as assessed by baseline and stimulated 2-hour post meal urinary C-peptide levels at 3,6 and 10 years follow-up. The secondary endpoint pertains presence and incidence of diabetes complications (cardiovascular disease, nephropathy, neuropathy and retinopathy), gut microbiota composition measured in feces with shotgun sequencing, glucose time-in-range (CGM-metrics) and subsequent exogenous insulin dose. Tertiary endpoints include the profiling of immune cell subsets, assessment of autoreactive T lymphocytes and HLA typing by high resolution sequencing of circulating leukocytes (IMMOCHIP) in relation to untargeted plasma metabolomics (Metabolon).
Nature and extent of the burden and risks associated with participation, benefit and group relatedness: This study is considered a negligible-risk study. The patient will complete several questionnaires, keep track of a food diary and collect urine and feces prior to the baseline study visit. At the study visit we will require a fasted plasma sample, this will slightly increase the chances of a hypoglycemic episode, largely mitigated because all participants carry a continues glucose monitor. Additionally, we will calculate BMI, waist circumference, liver stiffness and measure blood pressure. The questionnaires inquire about the burden of diabetic complications, socio-economic status and financial literacy, abdominal complaints and hypoglycemic episodes, and comorbidities associated with diabetes, quality of life and psychological functioning. We argue that the risk and discomfort associated with this study is similar to the yearly diabetes check-up and justified in light of the potentially profound insights and novel treatments to be gained by studying the impact of the gut microbiome on residual β-cell function in T1D.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| MARVEL | 5000 individuals with type 1 diabetes > 18 years of age |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No intervention | Other | There are no interventions. The only medical procedure is a blood draw |
|
| Measure | Description | Time Frame |
|---|---|---|
| Residual β-cell insulin secretion capacity: | assessed by non-invasive 2-hour post meal c-peptide release (residual β-cell function) in urine, composed of a urinary c-peptide to creatinine ratio (UCPCR). | At 0,3,6 and 10 years follow-up. |
| Measure | Description | Time Frame |
|---|---|---|
| Presence and incidence of diabetes complications | cardiovascular disease, nephropathy, neuropathy, retinopathy and liver stiffness collected through medical history, yearly check-ups, bioimpadance measurement and questionnaires | At 0, 3, 6 and 10 years follow up |
| Glycemic control: |
| Measure | Description | Time Frame |
|---|---|---|
| Circulating microbiota-derived metabolites | Changes in untargeted plasma metabolites. | At 0,3,6 and 10 years follow-up. |
| Autoimmunity markers | HLA and immunotyping will be performed. |
Inclusion Criteria:
Exclusion Criteria:
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The source population are patients with T1D in the Amsterdam region visiting the Diabeter Center Amsterdam which takes care for around +/- 5000 individuals with T1D.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Max Nieuwdorp, Prof. Dr. | Contact | 020-5665737 | m.nieuwdorp@amsterdamumc.nl | |
| Nordin Hanssen, Dr. | Contact | 020-5669111 | n.m.j.hanssen@amsterdamumc.nl |
| Name | Affiliation | Role |
|---|---|---|
| Henk-Jan Aanstoot, Dr. | Diabeter Center Amsterdam/Diabeter Nederland | Principal Investigator |
| Max Nieuwdorp, Prof. Dr. | Dept of Vascular Medicine, Amsterdam UMC - AMC | Principal Investigator |
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| ID | Term |
|---|---|
| D003922 | Diabetes Mellitus, Type 1 |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
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EDTA plasma: Determine changes in (microbial) metabolite composition. Metabolites will be measured by Metabolon via liquid chromatography-mass spectrometry for metabolomics. Measuring Pro-insulin/glucagon via ELISA
EDTA buffycoat's: Isolate DNA and perform Immunochip
Heparine plasma: Look at clinical chemistry
Serum: Look at proteins
Citrate plasma: Coagulation testing
Feces samples: DNA will be isolated and used for shotgun sequencing on an Illumina platform to determine the microbiota composition.
PBMC's: DNA isolation and subsequent HLA-typing and/or epigenetic analyses.
Urine sample: UCPCR measurement
changes in plasma biochemistry (glucose, HbA1c), glucose time in range (Freestyle Libre), urine (microalbuminuria) and subsequent exogenous insulin dose. |
| At 0,3,6 and 10 years follow-up. |
| Intestinal microbiota composition | changes in gut microbiota composition as measured with shotgun sequencing in feces. Bristol stool chart for fecal composition. | At 0,3,6 and 10 years follow-up. |
| At 0,3,6 and 10 years follow-up. |
| Nordin Hanssen, Dr. |
| Dept of Vascular Medicine, Amsterdam UMC - AMC |
| Principal Investigator |
| D004700 | Endocrine System Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |