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| ID | Type | Description | Link |
|---|---|---|---|
| 1R01DK126826-01A1 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) | NIH |
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Investigators propose to study youth across the spectrum of body mass index (BMI) and dysglycemia. This approach will allow investigators to disentangle the relationship of key features of type 2 diabetes (T2D) risk (e.g. obesity) with intermediary physiologic changes (e.g. insulin resistance, inflammation, β-cell dysfunction and dysglycemia) that pose a risk for the brain. Investigators will determine which of these factors are most associated with differences in brain structure and function among groups, over time, and how these effects differ from normal neurodevelopment.
Investigators will study three groups of pubertal youth, ages 12-17 yrs old (n=31 each): a group with normal weight and normal glucose tolerance (NW-NGT), a group with overweight/obesity and normal glucose tolerance (O-NGT), and a group with overweight/obesity and dysglycemia (O-DG). Groups will be comparable in age, sex, race/ethnicity, and socio-economic status (SES). Brain structure and function will be examined in all groups using magnetic resonance imaging (MRI) and cognitive tests at study entry (time 1/baseline), and after 21 months (time 2), focusing on a limited number of key outcome variables known to be consistently impaired in obesity or T2D. Targeted MRI measures will be regional volumes (e.g. hippocampus), neuroinflammation via restricted ratio from diffusion basis spectrum imaging (DBSI); hippocampus and white matter tracts), whole-brain cerebral blood flow via arterial spin labeling (ASL). Targeted cognitive measures will be delayed memory, processing speed, and executive function. The ultimate goal of this study is to determine how metabolic factors during neurodevelopment set the stage for the potentially profound, long-term impact of T2D on the brain and its functions. Given that the disease occurs at a time when brains are undergoing dramatic developmental processes, the aggressive nature of youth-onset T2D progression and complications in other organ systems, these results may provide guidance and justification for longer follow-up, interventional and/or mechanistic studies, and have important clinical implications.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Normal Weight-Normal Glucose Tolerant (NW-NGT) | (1) a group that is the normal weight (BMI<85th%) and has normal glucose tolerance (NW-NGT) |
| |
| Overweight and/or obese and has normal glucose tolerance (O-NGT) | (2) a group that is overweight and/or obese (BMI >85th%) and has normal glucose tolerance (O-NGT) |
| |
| Overweight and/or Obese and has dysglycemia (O-DG) | (3) group that is overweight and/or obese (BMI >85th%) and has dysglycemia (O-DG; fasting plasma glucose ≥100 mg/dl and/or 2-hour glucose ≥140 mg/dl oral glucose tolerance test (OGTT) and laboratory-based HbA1c ≥5.8 and ≤8.0%, if treatment naïve). |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Observational | Other | Investigators are observing brain health over time (21 months) in these groups |
|
| Measure | Description | Time Frame |
|---|---|---|
| hippocampal volume | To determine hippocampal volumes, investigators will use the validated, objective and semi-automatic segmentation program Automated MRI Brain Volumetry System (volBrain). Hippocampal volumes will be obtained for each subject at each visit for primary analyses. Left and right volumes will be averaged, since lateralized findings are not hypothesized. | 21 months - Visit 1 and Visit 2 are 21 months apart |
| restricted fraction | Investigators will use Diffusion Basis Spectrum Imaging (DBSI) models on diffusion weighted images (DWI) to assess restricted fraction within the hippocampus and throughout white matter tracts. | 21 months - Visit 1 and Visit 2 are 21 months apart |
| Whole brain cerebral blood flow | Pseudo-continuous arterial spin labeling (pCASL) will be used to measure cerebral blood flow (CBF) implemented with an arterial spin labeling (ASL) sequence 228 and volume navigators (vNavs) to minimize motion artifact. Global CBF across pairs of frames will be scaled additively to the median value. Investigators will assess the number of voxels that statistically deviate from a normative value ('distributed deviating voxels') and compared between groups. | 21 months - Visit 1 and Visit 2 are 21 months apart |
| Declarative Memory | Investigators will use the total score from the Paired Associates Memory Test, an experimental cognitive task measuring delayed declarative memory | 21 months - Visit 1 and Visit 2 are 21 months apart |
| Processing speed | Investigators will use the raw scores from the NIH Toolbox Pattern Comparison Processing Speed task. | 21 months - Visit 1 and Visit 2 are 21 months apart |
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Inclusion Criteria:
Exclusion Criteria:
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Pubertal youth ages 12-17 yrs. will be enrolled in a longitudinal design. Investigators chose to focus on the ages where there is the highest prevalence of impaired glucose tolerance (IGT) and T2D, reducing variability in neurodevelopmental and Tanner stages in the three cohorts. Investigators will follow participants for 21 months to ensure that enough time has passed to see changes in the stated outcome measures.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Mary Borgschulte, RN, BSN, CDE | Contact | 314-952-8195 | Mary.b@wustl.edu | |
| Kaeli Spight | Contact | 314-362-4721 | kspight@wustl.edu |
| Name | Affiliation | Role |
|---|---|---|
| Tamara A Hershey, PhD | Washington University School of Medicine | Principal Investigator |
| Silva Arslanian, MD | UPMC Children's Hospital of Pittsburgh | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Washington University School of Medicine | Recruiting | St Louis | Missouri | 63110 | United States |
Investigators affirm that data and research resources will be shared. Any shared data will have low re-identification potential. The Research Design & Biostatistics Group of the investigative team's Washington University's Clinical Translational Science Award (CTSA) provides access to the REDCap database to facilitate secure data sharing with approved investigators within the University as well as with approved collaborators. De-identified MRI scans will be shared with approved investigators through the Central Neuroimaging Data Archive (CNDA), an online, secure image archive system.
within 12 months of end of data collection, data entry, quality control and image processing
PI will need to request data for legitimate scientific purpose.
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See page 12 of the protocol.
| Executive Function | Investigators will use an average of the (z scores) from the NIH Toolbox Flanker Inhibitory Control & Attention, Dimensional Change Card Sort and List Sorting tasks. | 21 months - Visit 1 and Visit 2 are 21 months apart |
| UPMC Children's Hospital of Pittsburgh | Recruiting | Pittsburgh | Pennsylvania | 15224 | United States |
|
| ID | Term |
|---|---|
| D063766 | Pediatric Obesity |
| D007249 | Inflammation |
| D007333 | Insulin Resistance |
| D060825 | Cognitive Dysfunction |
| D003924 | Diabetes Mellitus, Type 2 |
| D050177 | Overweight |
| D009765 | Obesity |
| ID | Term |
|---|---|
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D010335 | Pathologic Processes |
| D006946 | Hyperinsulinism |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D003072 | Cognition Disorders |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D003920 | Diabetes Mellitus |
| D004700 | Endocrine System Diseases |
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| ID | Term |
|---|---|
| D057832 | Watchful Waiting |
| ID | Term |
|---|---|
| D017063 | Outcome Assessment, Health Care |
| D010043 | Outcome and Process Assessment, Health Care |
| D011787 | Quality of Health Care |
| D006298 | Health Services Administration |
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