Ignite Creation Date:
2026-03-26 @ 3:19 PM
Ignite Modification Date:
2026-03-31 @ 3:34 AM
Study NCT ID:
NCT07374705
Status:
RECRUITING
Last Update Posted:
2026-02-25
First Post:
2026-01-20
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Disentangling the Effect of Brain Insulin Resistance on Brain Health
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2026-03-25'}, 'conditionBrowseModule': {'meshes': [{'id': 'D003924', 'term': 'Diabetes Mellitus, Type 2'}, {'id': 'D003922', 'term': 'Diabetes Mellitus, Type 1'}, {'id': 'D003920', 'term': 'Diabetes Mellitus'}, {'id': 'D060825', 'term': 'Cognitive Dysfunction'}], 'ancestors': [{'id': 'D044882', 'term': 'Glucose Metabolism Disorders'}, {'id': 'D008659', 'term': 'Metabolic Diseases'}, {'id': 'D009750', 'term': 'Nutritional and Metabolic Diseases'}, {'id': 'D004700', 'term': 'Endocrine System Diseases'}, {'id': 'D001327', 'term': 'Autoimmune Diseases'}, {'id': 'D007154', 'term': 'Immune System Diseases'}, {'id': 'D003072', 'term': 'Cognition Disorders'}, {'id': 'D019965', 'term': 'Neurocognitive Disorders'}, {'id': 'D001523', 'term': 'Mental Disorders'}]}}, 'protocolSection': {'designModule': {'bioSpec': {'retention': 'SAMPLES_WITH_DNA', 'description': 'Blood samples (serum, plasma, buffy coat), urine, and faecal samples are collected and processed by trained personnel and stored at the research biobank at Steno Diabetes Center Copenhagen and at University of Ulm.'}, 'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'CROSS_SECTIONAL', 'observationalModel': 'CASE_CONTROL'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 150}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'RECRUITING', 'startDateStruct': {'date': '2026-01-01', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2025-11', 'completionDateStruct': {'date': '2032-01', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2026-02-24', 'studyFirstSubmitDate': '2026-01-20', 'studyFirstSubmitQcDate': '2026-01-20', 'lastUpdatePostDateStruct': {'date': '2026-02-25', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2026-01-29', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2031-10', 'type': 'ESTIMATED'}}, 'outcomesModule': {'otherOutcomes': [{'measure': 'Brain insulin response', 'timeFrame': 'Baseline (only measured once)', 'description': 'Differences in brain insulin response between groups, assessed by measuring changes in cerebral blood flow following intranasal insulin administration using ASL MRI.'}, {'measure': 'Cerebrovascular reactivity', 'timeFrame': 'Baseline (only measured once)', 'description': 'Differences in cerebrovascular reactivity between groups, assessed by measuring changes in cerebral blood flow in response to inhalation of hypercapnic air (air enriched with 5% CO2). Cerebral blood flow is measured using combined blood-oxygen-level-dependent (BOLD) MRI, ASL MRI, and phase contrast mapping (PCM) MRI.'}, {'measure': 'Brain atrophy and white matter lesion', 'timeFrame': 'Baseline (only measured once)', 'description': 'Differences in brain atrophy and white matter lesion load between groups, assessed by T1- weighted structural MRI and Fluid-Attenuated Inversion Recovery (FLAIR) MRI.'}, {'measure': 'Correlation between brain atrophy and white matter lesions load and cognitive measures', 'timeFrame': 'Baseline (only measured once)', 'description': "Brain atrophy and white matter lesion load is assessed by T1- weighted structural MRI and FLAIR MRI.\n\nThe neuropsychological test battery includes the following:\n\n* Rey Auditory Verbal Learning Test (RAVLT)\n* Trail Making Test (TMT) part A and B\n* Symbol Digit Modalities Test (SDMT)\n* RBANS Digit Span forward (Version A)\n* Wechsler Adult Intelligence Scale III Letter-Number Sequencing test (WAIS-LNS)\n* Verbal Fluency test (phonetic and semantic)\n* Rapid Visual Processing (RVP) test from the Cambridge Neuropsychological Test Automated Battery (CANTAB) using A' (RVP-A) and mean latency for correct responses\n\nMotor function (Grooved Pegboard)\n\nMontreal Cognitive Assessment (MoCA)"}, {'measure': 'Cerebral microbleeds', 'timeFrame': 'Baseline (only measured once)', 'description': 'Differences in the amount of cerebral microbleeds between groups, assessed by susceptibility-weighted MRI.'}, {'measure': 'Correlation between cerebral microbleeds and cognitive measures', 'timeFrame': 'Baseline (only measured once)', 'description': "Cerebral microbleeds is assessed by susceptibility-weighted MRI.\n\nThe neuropsychological test battery includes the following:\n\n* Rey Auditory Verbal Learning Test (RAVLT)\n* Trail Making Test (TMT) part A and B\n* Symbol Digit Modalities Test (SDMT)\n* RBANS Digit Span forward (Version A)\n* Wechsler Adult Intelligence Scale III Letter-Number Sequencing test (WAIS-LNS)\n* Verbal Fluency test (phonetic and semantic)\n* Rapid Visual Processing (RVP) test from the Cambridge Neuropsychological Test Automated Battery (CANTAB) using A' (RVP-A) and mean latency for correct responses\n\nMotor function (Grooved Pegboard)\n\nMontreal Cognitive Assessment (MoCA)"}, {'measure': 'Structural connectivity', 'timeFrame': 'Baseline (only measured once)', 'description': 'Differences in structural connectivity between groups, assessed by diffusion tensor imaging (DTI) MRI.'}, {'measure': 'Correlation between structural connectivity and cognitive measures', 'timeFrame': 'Baseline (only measured once)', 'description': "Structural connectivity is assessed by DTI MRI.\n\nThe neuropsychological test battery includes the following:\n\n* Rey Auditory Verbal Learning Test (RAVLT)\n* Trail Making Test (TMT) part A and B\n* Symbol Digit Modalities Test (SDMT)\n* RBANS Digit Span forward (Version A)\n* Wechsler Adult Intelligence Scale III Letter-Number Sequencing test (WAIS-LNS)\n* Verbal Fluency test (phonetic and semantic)\n* Rapid Visual Processing (RVP) test from the Cambridge Neuropsychological Test Automated Battery (CANTAB) using A' (RVP-A) and mean latency for correct responses\n\nMotor function (Grooved Pegboard)\n\nMontreal Cognitive Assessment (MoCA)"}, {'measure': 'White matter diffusion integrity', 'timeFrame': 'Baseline (only measured once)', 'description': 'Differences in white matter diffusion parameters between groups, assessed by DTI MRI.'}, {'measure': 'Correlation between white matter diffusion integrity and cognitive measures', 'timeFrame': 'Baseline (only measured once', 'description': "White matter diffusion is assessed by DTI MRI.\n\nThe neuropsychological test battery includes the following:\n\n* Rey Auditory Verbal Learning Test (RAVLT)\n* Trail Making Test (TMT) part A and B\n* Symbol Digit Modalities Test (SDMT)\n* RBANS Digit Span forward (Version A)\n* Wechsler Adult Intelligence Scale III Letter-Number Sequencing test (WAIS-LNS)\n* Verbal Fluency test (phonetic and semantic)\n* Rapid Visual Processing (RVP) test from the Cambridge Neuropsychological Test Automated Battery (CANTAB) using A' (RVP-A) and mean latency for correct responses\n\nMotor function (Grooved Pegboard)\n\nMontreal Cognitive Assessment (MoCA)"}, {'measure': 'Cerebral blood flow', 'timeFrame': 'Baseline (only measured once)', 'description': 'Differences in resting cerebral blood flow between groups, assessed by ASL and PCM MRI.'}, {'measure': 'Correlation between resting cerebral blood flow and cognitive measures', 'timeFrame': 'Baseline (only measured once)', 'description': "Resting cerebral blood flow is assessed by ASL and PCM MRI.\n\nThe neuropsychological test battery includes the following:\n\n* Rey Auditory Verbal Learning Test (RAVLT)\n* Trail Making Test (TMT) part A and B\n* Symbol Digit Modalities Test (SDMT)\n* RBANS Digit Span forward (Version A)\n* Wechsler Adult Intelligence Scale III Letter-Number Sequencing test (WAIS-LNS)\n* Verbal Fluency test (phonetic and semantic)\n* Rapid Visual Processing (RVP) test from the Cambridge Neuropsychological Test Automated Battery (CANTAB) using A' (RVP-A) and mean latency for correct responses\n\nMotor function (Grooved Pegboard)\n\nMontreal Cognitive Assessment (MoCA)"}, {'measure': 'Cerebral metabolic rate of oxygen', 'timeFrame': 'Baseline (only measured once)', 'description': 'Differences in resting cerebral metabolic rate of oxygen between groups, assessed by combined PCM MRI and susceptibility-based oximetry (SBO) MRI.'}, {'measure': 'Correlation between cerebral metabolic rate of oxygen and cognitive measures', 'timeFrame': 'Baseline (only measured once)', 'description': "Cerebral metabolic rate of oxygen is assessed by combined PCM MRI and SBO MRI.\n\nThe neuropsychological test battery includes the following:\n\n* Rey Auditory Verbal Learning Test (RAVLT)\n* Trail Making Test (TMT) part A and B\n* Symbol Digit Modalities Test (SDMT)\n* RBANS Digit Span forward (Version A)\n* Wechsler Adult Intelligence Scale III Letter-Number Sequencing test (WAIS-LNS)\n* Verbal Fluency test (phonetic and semantic)\n* Rapid Visual Processing (RVP) test from the Cambridge Neuropsychological Test Automated Battery (CANTAB) using A' (RVP-A) and mean latency for correct responses\n\nMotor function (Grooved Pegboard)\n\nMontreal Cognitive Assessment (MoCA)"}, {'measure': 'Regional brain glucose sensing', 'timeFrame': 'Baseline (only measured once)', 'description': 'Differences in regional cerebral blood flow in response to glucose ingestion between groups, assessed by combined BOLD and ASL MRI.'}, {'measure': 'Correlation between hypothalamic glucose sensing and biomarkers', 'timeFrame': 'Baseline (only measured once)', 'description': 'Cerebral blood flow response in the hypothalamus to glucose ingestion is assessed by combined BOLD and ASL MRI.\n\nA multiomics approach integrating lipidomics, metabolomics, proteomics, transcriptomics, and genotyping will be used to identify reliable biomarkers of brain insulin sensing.'}, {'measure': 'Correlation between brain insulin response and hypothalamic glucose sensing', 'timeFrame': 'Baseline (only measured once)', 'description': 'Brain insulin response is assessed by measuring changes in cerebral blood flow following administration of intranasal insulin using arterial spin labelling ASL MRI.\n\nCerebral blood flow response in the hypothalamus to glucose ingestion is measured by combined BOLD and ASL MRI.'}, {'measure': 'Biomarkers of neuronal damage, neuroinflammation, and brain insulin response', 'timeFrame': 'Baseline (only measured once)', 'description': 'Brain insulin response is assessed by measuring changes in cerebral blood flow following administration of intranasal insulin using ASL MRI.\n\nA multiomics approach integrating lipidomics, metabolomics, proteomics, transcriptomics, and genotyping will be used to identify biomarkers of neuronal damage, neuroinflammation and brain insulin resistance.'}, {'measure': 'Biomarkers of blood-brain-barrier integrity and cerebrovascular function', 'timeFrame': 'Baseline (only measured once)', 'description': 'Blood-brain-barrier permeability is assessed by dynamic contrast enhanced MRI\n\nA multiomics approach integrating lipidomics, metabolomics, proteomics, transcriptomics, and genotyping will be used to identify biomarkers of vascular function and blood brain barrier integrity.'}, {'measure': 'Correlation between biomarkers and cognitive measures', 'timeFrame': 'Baseline (only measured once)', 'description': "A multiomics approach integrating lipidomics, metabolomics, proteomics, transcriptomics, and genotyping will be used to identify biomarkers of cognition.\n\nThe neuropsychological test battery includes the following:\n\n* Rey Auditory Verbal Learning Test (RAVLT)\n* Trail Making Test (TMT) part A and B\n* Symbol Digit Modalities Test (SDMT)\n* RBANS Digit Span forward (Version A)\n* Wechsler Adult Intelligence Scale III Letter-Number Sequencing test (WAIS-LNS)\n* Verbal Fluency test (phonetic and semantic)\n* Rapid Visual Processing (RVP) test from the Cambridge Neuropsychological Test Automated Battery (CANTAB) using A' (RVP-A) and mean latency for correct responses\n\nMotor function (Grooved Pegboard)\n\nMontreal Cognitive Assessment (MoCA)"}], 'primaryOutcomes': [{'measure': 'Correlation between brain insulin response and cognitive measures', 'timeFrame': 'Baseline (only measured once)', 'description': "Brain insulin response is assessed by measuring changes in cerebral blood flow following intranasal insulin administration, using arterial spin labelling (ASL) MRI.\n\nThe neuropsychological test battery includes the following:\n\n* Rey Auditory Verbal Learning Test (RAVLT)\n* Trail Making Test (TMT) part A and B\n* Symbol Digit Modalities Test (SDMT)\n* RBANS Digit Span forward (Version A)\n* Wechsler Adult Intelligence Scale III Letter-Number Sequencing test (WAIS-LNS)\n* Verbal Fluency test (phonetic and semantic)\n* Rapid Visual Processing (RVP) test from the Cambridge Neuropsychological Test Automated Battery (CANTAB) using A' (RVP-A) and mean latency for correct responses\n\nMotor function (Grooved Pegboard)\n\nMontreal Cognitive Assessment (MoCA)"}, {'measure': 'Correlation between cerebrovascular reactivity and cognitive measures', 'timeFrame': 'Baseline (only measured once)', 'description': "Cerebrovascular reactivity is assessed by measuring changes in cerebral blood flow responses to inhalation of hypercapnic air (air enriched with 5% CO2). Cerebral blood flow is measured using combined blood-oxygen-level-dependent (BOLD) MRI, ASL MRI, and phase contrast mapping (PCM) MRI.\n\nThe neuropsychological test battery includes the following:\n\n* Rey Auditory Verbal Learning Test (RAVLT)\n* Trail Making Test (TMT) part A and B\n* Symbol Digit Modalities Test (SDMT)\n* RBANS Digit Span forward (Version A)\n* Wechsler Adult Intelligence Scale III Letter-Number Sequencing test (WAIS-LNS)\n* Verbal Fluency test (phonetic and semantic)\n* Rapid Visual Processing (RVP) test from the Cambridge Neuropsychological Test Automated Battery (CANTAB) using A' (RVP-A) and mean latency for correct responses\n\nMotor function (Grooved Pegboard)\n\nMontreal Cognitive Assessment (MoCA)"}], 'secondaryOutcomes': [{'measure': 'Blood-brain-barrier permability', 'timeFrame': 'Baseline (only measured once)', 'description': 'Differences in blood-brain-barrier permeability between groups, measured by dynamic contrast enhanced MRI.'}, {'measure': 'Neurovascular coupling', 'timeFrame': 'Baseline (only measured once)', 'description': 'Differences in cerebral blood flow responses to visual stimulation between groups, assessed with ASL MRI.'}, {'measure': 'Hypothalamic glucose sensing', 'timeFrame': 'Baseline (only measured once)', 'description': 'Differences in cerebral blood flow response in the hypothalamus to glucose ingestion between groups, assessed by combined BOLD and ASL MRI.'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['Diabetes', 'Brain Insulin Resistance', 'cognitive performance', 'cognitive dysfunction', 'structural changes in the brain', 'cerebrovascular function', 'brain health', 'blood-brain-barrier', 'diabetes type 1', 'diabetes type 2', 'biomarkers'], 'conditions': ['Diabetes Type 2', 'Diabetes Type 1']}, 'descriptionModule': {'briefSummary': "People with diabetes are at increased risk of developing dementia, including Alzheimer's disease and vascular dementia. In addition, persons with diabetes have more pronounced age-related brain atrophy and cognitive difficulties compared to people without diabetes. The mechanisms behind the effects on the brain of diabetes are still unclear. New research suggests that the brains of some people with diabetes do not respond normally to insulin signals, a condition known as brain insulin resistance (BIR). To date, there have been no large clinical studies investigating BIR and its impact on brain health, but several smaller studies suggest that BIR may be a cause of cognitive decline and impaired brain health in people with diabetes. Another mechanism that may contribute to impaired brain health in people with diabetes is damage to the blood vessels in the brain. Damage to blood vessels is a well-known complication of diabetes, but how it affects the brain is not fully described. In this project, we will investigate the relationship between BIR and brain blood vessel dysfunction and its relationship to cognition and brain function. This is done by examining patients with type 1 diabetes (T1D), type 2 diabetes (T2D) and healthy controls. The participants will undergo MRI brain scans to assess the impact of BIR on the brain physiology and to evaluate brain blood vessel health. Participants will undergo comprehensive assessments of their cognitive abilities and thorough health examination.", 'detailedDescription': "The BIR-BrainHealth project investigates the role of brain insulin resistance (BIR) as a key mechanism linking diabetes to cognitive decline and dementia risk. By combining cognitive testing with advanced neuroimaging (MRI and PET), metabolic profiling, and multi-omics analyses, the study aims to uncover how BIR affects brain physiology, energy metabolism, and neurovascular function. The present trial registration specifically covers the MRI components of the project and does not include PET imaging.\n\nDiabetes significantly increases the risk of mild cognitive impairment and dementia. The exact link between diabetes and cognitive decline is yet to be fully understood. Early cognitive decline in diabetes suggests a unique pathogenetic trajectory. One hypothesized mechanism involves impaired insulin signaling/transport in the brain, referred to as brain insulin resistance (BIR). Evidence indicates that in some individuals with diabetes, neuronal insulin signaling is abnormal, resulting in dysregulated cerebral metabolism and function. Another possible pathway is cerebrovascular pathology, which may compromise cerebral perfusion and energy metabolism. The present project will investigate the relationship between BIR and cerebrovascular dysfunction, and their impact on cognition and brain function.\n\nWe will set up a multicenter study in Denmark and Germany. Initially the study will include 50 participants with type 1 diabetes, 50 participants with type 2 diabetes, and 50 control participants without diabetes. All participants will undergo a comprehensive clinical evaluation to characterize diabetes duration, severity, and systemic comorbidities. The cognitive performance of the participants will be assessed using a neuropsychological test battery of following standardized tests:\n\n* Rey Auditory Verbal Learning Test (RAVLT)\n* Trail Making Test (TMT) part A and B\n* Symbol Digit Modalities Test (SDMT)\n* RBANS Digit Span forward (Version A)\n* Wechsler Adult Intelligence Scale III Letter-Number Sequencing test (WAIS-LNS)\n* Verbal Fluency test (phonetic and semantic)\n* Grooved Pegboard\n* Rapid Visual Processing (RVP) test from the Cambridge Neuropsychological Test Automated Battery (CANTAB) using A' (RVP-A) and mean latency for correct responses\n* The Montreal Cognitive Assessment (MoCA)\n\nTests will be grouped by cognitive domains, and each domain score is calculated as the mean of the individual component z-scores. A cognitive composite (global score) will be derived from the mean of the domains: learning and memory, executive function and working memory, processing speed, and attention.\n\nMagnetic resonance imaging (MRI) will be performed to assess BIR and structural brain changes, including atrophy. All MRI-scans will be performed on a research-optimized 3 Tesla MRI scanner. BIR will be evaluated by measuring changes in cerebral perfusion from administration of intranasal insulin delivered via nasal spray.\n\nBlood, urine and stool will be collected for biomarker development and characterization of patients with BIR. A multi-omics approach will be applied to identify reliable biomarkers of BIR, incorporating lipidomics, metabolomics, proteomics, and transcriptomics. Lipidomic analysis will quantify approximately 650 lipid species, including phospholipids, lysophos-pholipids, ceramides, sphingolipids, diacylglycerols, and triacylglycerols, using liquid chromatography-mass spectrometry. Metabolomic profiling will measure approximately 300 metabolites, including citric acid cycle intermediates, short-chain fatty acids, ketones, and amino acids, using gas chromatography-mass spectrometry. Proteomic analysis will be conducted using a validated, clinically applicable mass spectrometry method, and transcriptomic profiling will be performed using RNA-based methods. The participants will be genotyped using the Illumina Infinium Global Screening Array (GSA v2.4), with exclusion of rare variants and clinically relevant mutations listed by the American College of Medical Genetics, in accordance with the guidelines of the National Science Ethics Committee on genomic research.\n\nA subset of participants will undergo additional advanced MRI-scanning for assessments of cerebro-vascular function. Brain perfusion, blood-brain barrier integrity, and capillary perfusion distribution will be measured using dynamic contrast-enhanced MRI. Cerebrovascular reactivity will be measured by perfusion-weighted MRI during inhalation of air enriched with 5% CO2, a potent cerebral vasodilator. Cerebral blood flow responses to neuronal activation induced by visual stimulation will be assessed using perfusion-weighted MRI. Lastly, in a subset of participants the brain glucose sensing will be assessed using functional MRI (fMRI). fMRI will be measured prior to, during and following oral ingestion of water containing 75 grams of glucose. The glucose drink is given through a straw while the participants are lying in the scanner and will be consumed over a period of 5 minutes. Blood samples will be collected throughout the scan for measurements of blood glucose."}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'maximumAge': '80 Years', 'minimumAge': '50 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'It is planned to recruit participants in the Greater Copenhagen area in Denmark and the Ulm area in Germany. The participants will be recruited from the outpatient clinic at Steno Diabetes Center Copenhagen and Ulm University Hospital and primary care settings in Denmark and Germany.\n\nIn addition to this, participants will be sought by physical advertisements in the local area, through recruitment platforms (join.trialtree.com) and social media.', 'healthyVolunteers': True, 'eligibilityCriteria': "Inclusion Criteria (all):\n\n* age 50-80 years\n\nInclusion Criteria (diabetes only):\n\n* Diagnosis of either type 1 diabetes or type 2 diabetes\n* Diabetes duration of ≥10 years for individuals with type 1 diabetes and ≥5 years for individuals with type 2 diabetes\n\nExclusion Criteria:\n\n* HbA1c \\>100 mmol/mol\n* Other type of diabetes\n* Weight \\>140 Kg\n* Treatment with drugs that cannot be paused for 12 hours\n* Diagnosis of dementia\n* Active and recent (1year) malignant disease\n* History of major stroke\n* Major depression and/or treatment with antipsychotics\n* History of traumatic brain injury\n* Other medical condition or disorder (e.g., epilepsy, recent concussion) that in the opinion of the investigator precludes compliance with the protocol, evaluation of the results or represent an unacceptable risk for the participant's safety.\n* Inability to perform neuropsychological tests (e.g., severe vision and hearing impairment that cannot be improved with aids such as glasses and hearing aids, or language barrier.)\n* Severe claustrophobia\n* Foreign bodies of metal in the body which prohibits brain MRI scans (e.g. pacemaker or screws/plates from surgery in the head or neck region)\n* Participants who do not wish to be informed about accidental findings by MRI\n* eGFR measurement \\<45 within 3 months of study visit"}, 'identificationModule': {'nctId': 'NCT07374705', 'acronym': 'BIR 1', 'briefTitle': 'Disentangling the Effect of Brain Insulin Resistance on Brain Health', 'organization': {'class': 'OTHER', 'fullName': 'Rigshospitalet, Denmark'}, 'officialTitle': 'Disentangling the Effect of Brain Insulin Resistance on Brain Health (BIR-BrainHealth)', 'orgStudyIdInfo': {'id': 'NNF24OC0087481'}, 'secondaryIdInfos': [{'id': 'H-25045491', 'type': 'OTHER', 'domain': 'Health Ethics Committee of Copenhagen'}]}, 'armsInterventionsModule': {'armGroups': [{'label': 'Type 1 Diabetes', 'description': 'Individuals who have a type 1 diabetes diagnose and meet the inclusion and exclusion criteria.'}, {'label': 'Type 2 Diabetes', 'description': 'Individuals who have a type 2 diabetes diagnose and meet the inclusion and exclusion criteria.'}, {'label': 'Controls', 'description': 'Individuals who do not have a diabetes diagnose and meet the inclusion and exclusion criteria.'}]}, 'contactsLocationsModule': {'locations': [{'zip': '2600', 'city': 'Glostrup Municipality', 'status': 'RECRUITING', 'country': 'Denmark', 'facility': 'Rigshospitalet', 'geoPoint': {'lat': 55.6666, 'lon': 12.40377}}, {'zip': '2730', 'city': 'Herlev', 'status': 'RECRUITING', 'country': 'Denmark', 'facility': 'Steno Diabetes Center Copenhagen', 'geoPoint': {'lat': 55.72366, 'lon': 12.43998}}, {'zip': '89081', 'city': 'Ulm', 'status': 'RECRUITING', 'country': 'Germany', 'facility': 'University of Ulm', 'geoPoint': {'lat': 48.39841, 'lon': 9.99155}}], 'centralContacts': [{'name': 'Henrik BW Larsson, Professor', 'role': 'CONTACT', 'email': 'henrik.bo.wiberg.larsson@regionh.dk', 'phone': '+45 24824294'}], 'overallOfficials': [{'name': 'Henrik BW Larsson, Professor', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Rigshospitalet, Denmark'}, {'name': 'Jørgen Rungby, Professor', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Steno Diabetes Center Copenhagen'}, {'name': 'Flemming Pociot, Professor', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Steno Diabetes Center Copenhagen'}, {'name': 'Martin Heni, Professor', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'University of Ulm'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Henrik Bo Wiberg Larsson', 'class': 'OTHER'}, 'collaborators': [{'name': 'Steno Diabetes Center Copenhagen', 'class': 'OTHER'}, {'name': 'University of Ulm', 'class': 'OTHER'}], 'responsibleParty': {'type': 'SPONSOR_INVESTIGATOR', 'investigatorTitle': 'Professor', 'investigatorFullName': 'Henrik Bo Wiberg Larsson', 'investigatorAffiliation': 'Rigshospitalet, Denmark'}}}}