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| ID | Type | Description | Link |
|---|---|---|---|
| 1R21HD097510-01A1 | U.S. NIH Grant/Contract | View source | |
| A176000 | Other Identifier | UW Madison | |
| EDUC/KINESIOLOGY/KINESIOLOG | Other Identifier | UW Madison | |
| 19PRE34450141 | Other Grant/Funding Number | American Heart Association | |
| Protocol Version 9/24/2021 | Other Identifier | UW Madison |
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| Name | Class |
|---|---|
| Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) | NIH |
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The growing population of adolescents with insulin resistance (IR) is predicted to create a large public health burden in the next few decades. This study examines the function of brain blood vessels and cognitive function, to test if increasing severity of IR in adolescents is related to reduced cognitive function and reduced brain blood vessel function. Findings from this study may help create treatments to delay or prevent some of the negative effects of IR on cognitive and vascular health.
One in five American adolescents is obese. Up to half of those are already exhibiting insulin resistance (IR), a hallmark of metabolic syndrome and diabetes linked to serious life-altering health disorders, including cardiovascular and cerebrovascular disease. In adults, IR negatively affects brain structure and function and is reflected in lower regional brain volumes, perfusion, increased white matter hyperintensities and abnormal neuropsychological status, especially affecting memory and attention-all changes associated with accelerated cognitive and brain aging and increased risk of dementia. In an analogous fashion, a limited set of literature suggests adolescents with IR exhibit similar brain changes during maturation. The investigators hypothesize that the brains of obese adolescents are more susceptible to insults of IR during rapid brain development, positioning them on an abnormal cognitive trajectory, and predisposing them to issues related to learning, behavioral stress responses, and depression.
While the metabolic consequences of IR are well described in adolescence, the impact of IR on their neurocognitive status (intelligence, memory, attention, executive function, processing speed) and cerebrovascular function and their interactions remains largely unexplored. This is important since in addition to its classic role as a metabolic hormone, insulin acts as a vasodilator and supports neurotrophic signaling in healthy humans. Therefore, dysfunctional insulin signaling may hold tremendous influence over brain health in adolescents during this vital period of brain development. New insight is required to understand where, when, and how IR negatively transforms brain health, including whether a dose-response exists between IR severity and anomalies in brain and cognition.
The long-term goal of this research program is to determine the influence of IR on brain development in adolescents through the relationships between neurocognition and cerebral blood supply. The primary goal of the current project is to quantify fundamental neurocognitive and cerebrovascular function in relation to the severity of IR. The central hypothesis is that as IR worsens: a) subtle but meaningful neurocognitive declines emerge; b) regional brain perfusion is reduced primarily in areas linked to learning and memory despite preserved resting global cerebral blood flow (CBF); c) acute insulin surges exacerbate regional hypoperfusion, and d) cognitive scores will be lower, mediated in part by insulin-stimulated hypoperfusion.
Participants will be recruited primarily from pediatric and pediatric endocrinology clinics via our collaborator, Dr. Aaron Carrel, and his staff in UWHC Pediatric Endocrinology. Additionally, participants will be recruited from the greater Madison, WI community.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Enrolled, eligible | Experimental | Single arm for eligible subjects |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Oral Glucose Tolerance Test (OGTT) | Other | Eligible subjects will undergo MRI scanning before and after oral glucose tolerance test. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Linear Relationship Between HOMA-IR and Cognitive Function (R-squared) | HOMA-IR was measured from each participant at baseline (up to 1 hour visit) and a battery of cognitive instruments (listed here) were measured at a different study visit (2-3 hours of time). A relationship between individual HOMA-IR and Cognitive Function was hypothesized and a measured via Linear Regression (R-squared). | data collected at baseline visit (HOMA-IR) and one other study visit (Cognitive Function Tests) (up to 4 hours total time of data collection over two visits - data collection not temporally dependent) |
| Change in Cerebral Blood Flow (CBF) as Determined by MRI (mL/100g/Min) | CBF will be measured via MRI before OGTT (baseline) and after OGTT at Peak insulin. | 1 study visit, measured at baseline and peak insulin (45-60 minutes after baseline) |
| Linear Relationship Between Cerebral Blood Flow and Cognitive Function (R-squared) | Cerebral Blood Flow was measured from each participant at baseline (without OGTT MRI Visit) and a battery of cognitive instruments (those listed below) were measured at a different study visit. A relationship between individual Cerebral Blood Flow and Cognitive Function was hypothesized and a measured via Linear Regression (R-squared). | data collected at baseline (CBF - up to 1 hour) and Cognitive Function data collected at another study visit (up to 3 hours), data collection over 2 study visits up to 4 hours total, data collection not temporally dependent |
| Mediation Analysis of the Indirect Effect of Cerebral Blood Flow on Insulin Resistance and Cognitive Function | Mediation analysis is a statistical method used to explain the influence of an outside variable (mediator) that may modify the direct relationship between the Independent (X) and Dependent variable (Y). (X - Mediator - Y) Mediation analysis was used to explore the impact of cerebral blood flow on the relationship between HOMA-IR and cognitive function. This analysis was conducted on 11 separate cognitive function tests, looking at verbal skills, memory, executive function, and self-reported quality of life rating. In the first set of analyses, the mediator was "grey matter baseline", which is the cerebral blood flow in the resting state. The second set of analyses, the mediator was "grey matter change with OGTT", which is the cerebral blood flow changing from rest to response from Oral Glucose Tolerance Test (OGTT). Positive/negative effect numbers indicated that the total effect of the relationship was positive/negative. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| William Schrage, PhD | University of Wisconsin, Madison | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Wisconsin-Madison | Madison | Wisconsin | 53706 | United States |
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34 participants were consented, but due to the Covid-19 pandemic, only 23 participants started the study (completed at least 1 study visit).
Participants were enrolled from October 2019 to April 2022. Participants were 12-18 years old during Covid-19 pandemic, and thus had very delayed access to vaccines, limiting enrollment. Pandemic related safety issues effected study conduct. Not all enrolled participants completed all (up to 5, 3 for the primary aims) study visits as a result. Because the data collected in each visit was not dependent on the other visit in a temporal manner, the study visits could occur in any order.
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| ID | Title | Description |
|---|---|---|
| FG000 | Enrolled, Eligible | Oral Glucose Tolerance Test: Eligible subjects will undergo MRI scanning before and after oral glucose tolerance test. 3 Tesla MRI: A 3 Tesla MRI will be used to assess brain structure, quantify cerebral blood flow and capture cerebral vessel structure at designated time points throughout the study visits. Intravenous Catheter: A blood sampling IV catheter will be used to draw blood samples at specific time points throughout each study visit to measure concentrations of glucose and insulin. Cognitive Tests: A battery of cognitive tests will be completed by the subject. |
| Title | Milestones | Reasons Not Completed | |||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
|
Demographics provided for the 15 participants for whom enough data was collected to analyze the relationship between HOMA-IR, Cognitive Abilities, and Cerebral Blood Flow.
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| ID | Title | Description |
|---|---|---|
| BG000 | Enrolled, Eligible | Oral Glucose Tolerance Test: Eligible subjects will undergo MRI scanning before and after oral glucose tolerance test. 3 Tesla MRI: A 3 Tesla MRI will be used to assess brain structure, quantify cerebral blood flow and capture cerebral vessel structure at designated time points throughout the study visits. Intravenous Catheter: A blood sampling IV catheter will be used to draw blood samples at specific time points throughout each study visit to measure concentrations of glucose and insulin. Cognitive Tests: A battery of cognitive tests will be completed by the subject. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Mean |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Linear Relationship Between HOMA-IR and Cognitive Function (R-squared) | HOMA-IR was measured from each participant at baseline (up to 1 hour visit) and a battery of cognitive instruments (listed here) were measured at a different study visit (2-3 hours of time). A relationship between individual HOMA-IR and Cognitive Function was hypothesized and a measured via Linear Regression (R-squared). | This includes all the participants that completed the cognitive visit of the study. Because data collected in each visit was not dependent on other visits in a temporal manner, study visits occurred in any order. | Posted | Number | R-squared | data collected at baseline visit (HOMA-IR) and one other study visit (Cognitive Function Tests) (up to 4 hours total time of data collection over two visits - data collection not temporally dependent) |
|
up to 1 year and 9 months (this was the longest any one participant was on study)
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Enrolled, Eligible | Single arm for eligible subjects Oral Glucose Tolerance Test: Eligible subjects will undergo MRI scanning before and after oral glucose tolerance test. 3 Tesla MRI: A 3 Tesla MRI will be used to assess brain structure, quantify cerebral blood flow and capture cerebral vessel structure at designated time points throughout the study visits. Intravenous Catheter: A blood sampling IV catheter will be used to draw blood samples at specific time points throughout each study visit to measure concentrations of glucose and insulin. Cognitive Tests: A battery of cognitive tests will be completed by the subject. |
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| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Unrelated Broken Bone | General disorders | Non-systematic Assessment | Subject dislocated left patella, not at study visit. |
Study conduct was impacted by the COVID-19 pandemic. Safety issues with the target population during this time influenced whether participants completed any or all of the study visits.
Due to the small sample size, the statistic tests are likely underpowered and should be interpreted with caution.
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. William Schrage | University of Wisconsin - Madison | 608-262-7715 | william.schrage@wisc.edu |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Sep 24, 2021 | Aug 1, 2023 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D007333 | Insulin Resistance |
| ID | Term |
|---|---|
| D006946 | Hyperinsulinism |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
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| ID | Term |
|---|---|
| D005951 | Glucose Tolerance Test |
| D062666 | Vascular Access Devices |
| D009483 | Neuropsychological Tests |
| ID | Term |
|---|---|
| D001774 | Blood Chemical Analysis |
| D019963 | Clinical Chemistry Tests |
| D019411 | Clinical Laboratory Techniques |
| D019937 | Diagnostic Techniques and Procedures |
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| 3 Tesla MRI | Device | A 3 Tesla MRI will be used to assess brain structure, quantify cerebral blood flow and capture cerebral vessel structure at designated time points throughout the study visits. |
|
|
| Intravenous Catheter | Device | A blood sampling IV catheter will be used to draw blood samples at specific time points throughout each study visit to measure concentrations of glucose and insulin. |
|
|
| Cognitive Tests | Other | A battery of cognitive tests will be completed by the subject. |
|
| through study completion (up to 2 years) |
| years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Ethnicity (NIH/OMB) | Count of Participants | Participants |
|
| Race (NIH/OMB) | Count of Participants | Participants |
|
| Region of Enrollment | Number | participants |
|
|
|
|
| Primary | Change in Cerebral Blood Flow (CBF) as Determined by MRI (mL/100g/Min) | CBF will be measured via MRI before OGTT (baseline) and after OGTT at Peak insulin. | Posted | Mean | Standard Deviation | mL/100g/min | 1 study visit, measured at baseline and peak insulin (45-60 minutes after baseline) |
|
|
|
|
| Primary | Linear Relationship Between Cerebral Blood Flow and Cognitive Function (R-squared) | Cerebral Blood Flow was measured from each participant at baseline (without OGTT MRI Visit) and a battery of cognitive instruments (those listed below) were measured at a different study visit. A relationship between individual Cerebral Blood Flow and Cognitive Function was hypothesized and a measured via Linear Regression (R-squared). | This includes all the participants that completed the cognitive visit of the study. Because data collected in each visit was not dependent on other visits in a temporal manner, study visits occurred in any order. | Posted | Number | R-squared | data collected at baseline (CBF - up to 1 hour) and Cognitive Function data collected at another study visit (up to 3 hours), data collection over 2 study visits up to 4 hours total, data collection not temporally dependent |
|
|
|
|
| Primary | Mediation Analysis of the Indirect Effect of Cerebral Blood Flow on Insulin Resistance and Cognitive Function | Mediation analysis is a statistical method used to explain the influence of an outside variable (mediator) that may modify the direct relationship between the Independent (X) and Dependent variable (Y). (X - Mediator - Y) Mediation analysis was used to explore the impact of cerebral blood flow on the relationship between HOMA-IR and cognitive function. This analysis was conducted on 11 separate cognitive function tests, looking at verbal skills, memory, executive function, and self-reported quality of life rating. In the first set of analyses, the mediator was "grey matter baseline", which is the cerebral blood flow in the resting state. The second set of analyses, the mediator was "grey matter change with OGTT", which is the cerebral blood flow changing from rest to response from Oral Glucose Tolerance Test (OGTT). Positive/negative effect numbers indicated that the total effect of the relationship was positive/negative. | Mediation analysis was conducted on a limited data set due to the low number of participants. | Posted | Number | beta value | through study completion (up to 2 years) |
|
|
|
| 0 |
| 23 |
| 0 |
| 23 |
| 2 |
| 23 |
|
| Unrelated Hip Injury | General disorders | Non-systematic Assessment | Subject reported sports-related hip injury approximately 1-month prior. Physician evaluated with no intervention. |
|
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| D003933 | Diagnosis |
| D003940 | Diagnostic Techniques, Endocrine |
| D008919 | Investigative Techniques |
| D057785 | Catheters |
| D004864 | Equipment and Supplies |
| D011581 | Psychological Tests |
| D004191 | Behavioral Disciplines and Activities |
|
| 0.057 |
| Slope |
| -5.8089 |
| 2-Sided |
| Other |
Adjusted R-squared = 0.18 |
|
| NIH Toolbox (Oral Symbol Digit Test) A cognitive measure of processing speed (numbers/symbols) |
|
| NIH Toolbox (Flanker Inhibitory Control and Attention) Executive function measure |
|
| NIH Toolbox (Pattern Comparison) A cognitive measure of processing speed (stimuli) |
|
| NIH Toolbox (Picture Sequence) A cognitive measure of episodic memory |
|
| WRAML (Picture Memory) A general memory measure of picture recognition |
|
| D-KEFS (Color-Word Interference) A measure of cognitive flexibility through inhibition |
|
| D-KEFS (Trail Making Test) A measure of mental flexibility (motor speed) |
|
| PedsQL (Child 8-12 / Teen 13-18) A measure of health-related quality of life (HRQOL) in children |
|
| Regression, Linear |
| 0.402 |
| Slope |
| 0.6704 |
| 2-Sided |
| Other |
Adjusted R-squared = 0 |
| NIH Toolbox (Flanker Inhibitory Control and Attention) vs. Cerebral Blood Flow | Regression, Linear | 0.203 | Slope | -0.8486 | 2-Sided | Other | Adjusted R-squared = 0.207 |
| NIH Toolbox (Pattern Comparison) vs. Cerebral Blood Flow | Regression, Linear | 0.967 | Slope | -0.0266 | 2-Sided | Other | Adjusted R-squared = 0 |
| NIH Toolbox (Picture Sequence) vs. Cerebral Blood Flow | Regression, Linear | 0.616 | Slope | -0.1588 | 2-Sided | Other | Adjusted R-squared = 0 |
| WRAML (Picture Memory) vs. Cerebral Blood Flow | Regression, Linear | 0.287 | Slope | 0.099 | 2-Sided | Other | Adjusted R-squared = 0.0497 |
| D-KEFS (Color-Word Interference) vs. Cerebral Blood Flow | Regression, Linear | 0.225 | Slope | 0.0676 | 2-Sided | Other | Adjusted R-squared = 0.106 |
| D-KEFS (Trail Making Test) vs. Cerebral Blood Flow | Regression, Linear | 0.872 | Slope | -0.0091 | 2-Sided | Other | Adjusted R-squared = 0 |
| PedsQL (Child 8-12 / Teen 13-18) vs. Cerebral Blood Flow | Regression, Linear | 0.66 | Slope | -4.2085 | 2-Sided | Other | Adjusted R-squared = 0 |
|
| HOMA-IR vs DKEFS Trail Making (Grey Matter Baseline) |
|
| HOMA-IR vs DKEFS Inhibition Stroop (Grey Matter Baseline) |
|
| HOMA-IR vs PEDS QL Child Report (Grey Matter Baseline) |
|
| HOMA-IR vs NIH Toolbox Verbal List Learning (Grey Matter Baseline) |
|
| HOMA-IR vs NIH Toolbox Oral Digit Symbol (Grey Matter Baseline) |
|
| HOMA-IR vs NIH Toolbox Flanker (Grey Matter Baseline) |
|
| HOMA-IR vs NIH Toolbox Pattern Comparison (Grey Matter Baseline) |
|
| HOMA-IR vs NIH Toolbox Picture Memory (Grey Matter Baseline) |
|
| HOMA-IR vs WASii- Verbal (Grey Matter Change with OGTT) |
|
| HOMA-IR vs WASii-Performance (grey Matter Change with OGTT) |
|
| HOMA-IR vs WRAML (Grey Matter Change with OGTT) |
|
| HOMA-IR vs DKEFS Trail Making (Grey Matter Change with OGTT) |
|
| HOMA-IR vs DKEFS Inhibition Stroop (Grey Matter Change with OGTT) |
|
| HOMA-IR vs PEDS QL Child Report (Grey Matter Change with OGTT) |
|
| HOMA-IR vs NIH Toolbox Verbal List Learning (Grey Matter Change with OGTT) |
|
| HOMA-IR vs NIH Toolbox Oral Digit Symbol (Grey Matter Change with OGTT) |
|
| HOMA-IR vs NIH Toolbox Flanker (Grey Matter Change with OGTT) |
|
| HOMA-IR vs NIH Toolbox Pattern Comparison (Grey Matter Change with OGTT) |
|
| HOMA-IR vs NIH Toolbox Picture Memory (Grey Matter Change with OGTT) |
|