Not provided
| ID | Type | Description | Link |
|---|---|---|---|
| P30DK020579 | U.S. NIH Grant/Contract | View source |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) | NIH |
Not provided
Not provided
Not provided
Not provided
The rate of obesity in the United States is high and is a risk factor for concurrent cognitive impairment and, in late life, dementias such as Alzheimer's disease. In order to prevent or reduce cognitive impairment, the mechanism underlying the link between obesity and cognitive impairment must be understood. The current study aims to provide preliminary data on whether brain inflammation occurs in obesity and relates to cognitive deficits using magnetic resonance neuroimaging and cognitive testing. It is hypothesized that obese individuals will have greater brain inflammation and lower cognitive function compared to normal-weight individuals. Further, it is predicted that brain inflammation will relate to cognitive function and plasma indicators of inflammation in obese individuals.
Initially, normal-weight or obese potential participants are screened by a phone interview that assesses medical history. Obtainment of informed consent and further screening occurs on the day of the study visit. Participants then undergo a 2 hour oral glucose tolerance test (OGTT) including blood draws for metabolic and inflammatory marker levels in plasma. Lunch is then provided. Participants are then administered 30 minute computer-based cognitive testing from the NIH Toolbox Cognition Battery. After cognitive testing, participants undergo 1.5 hour magnetic resonance imaging (MRI) that includes structural, diffusion tensor, and functional MR imaging.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Normal-weight | Active Comparator | Participants who have a body mass index within the normal-weight category. |
|
| Obese | Active Comparator | Participants who have a body mass index within the obese category. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Oral glucose tolerance test | Procedure | After 8 hours fasting overnight, an intravenous catheter is placed in the arm or hand for blood draws. Participants drink 75 grams of an oral glucose drink after baseline blood samples are drawn. More blood draws occur at 10, 20, 30, 60 and 120 min post-glucose drink. |
| Measure | Description | Time Frame |
|---|---|---|
| Brain Inflammation Metrics in Obese and Normal-weight Individuals as Measured by Magnetic Resonance Image-based Diffusion Basis Spectrum Imaging (DBSI) | Diffusion Basis Spectrum Imaging (Cross and Song, 2017) is a computational method that will be applied to diffusion tensor images of the brain to estimate putative inflammation-related markers including cellularity and edema in obese and normal-weight individuals. DBSI metrics are quantitative but unitless. Cellularity and edema fractions of the total diffusion signal (including axial, radial, restricted (cellularity) and hindered (edema)) will be estimated in brain white matter tracts. | 1.5 hours at the end of one (up to) 8 hour study day that includes all outcome measures |
| Cognitive Function in Obese and Normal-weight Individuals as Measured by the National Institutes of Health (NIH) Toolbox Cognitive Battery and DBSI Putative Neuroinflammation Metrics | Cognitive performance including fluid and crystallized cognition composite T-scores from computer-based NIH Cognitive Toolbox assessments (Weintraub et al., 2013) will be assessed in obese and normal-weight individuals. These T-scores will include scores from tasks that assess attention and executive functioning, episodic memory, working memory, language, processing speed, and immediate recall (see NIH Toolbox Cognitive Battery website). T-scores are corrected for socioeconomic status and their distribution has a mean of 50 and a standard deviation of 10. Higher T-scores indicate better cognitive function. T-scores will be correlated with DBSI-assessed neuroinflammation metrics including restricted fraction (DBSI RF, putative cellularity) and hindered fraction (DBSI HF, putative vasogenic edema) in brain white matter tracts. | 40 minutes during one (up to) 8 hour study day that includes all outcome measures; after OGTT and prior to MRI |
Not provided
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Tamara Hershey, PhD | Washington University School of Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Washington University School of Medicine | St Louis | Missouri | 63110 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 23479546 | Background | Weintraub S, Dikmen SS, Heaton RK, Tulsky DS, Zelazo PD, Bauer PJ, Carlozzi NE, Slotkin J, Blitz D, Wallner-Allen K, Fox NA, Beaumont JL, Mungas D, Nowinski CJ, Richler J, Deocampo JA, Anderson JE, Manly JJ, Borosh B, Havlik R, Conway K, Edwards E, Freund L, King JW, Moy C, Witt E, Gershon RC. Cognition assessment using the NIH Toolbox. Neurology. 2013 Mar 12;80(11 Suppl 3):S54-64. doi: 10.1212/WNL.0b013e3182872ded. | |
| 27773433 | Background |
| Label | URL |
|---|---|
| NIH Toolbox Cognitive Battery description | View source |
Not provided
Not provided
Data is available immediately as of August 15, 2022 for 5 years.
Upon reasonable request
Not provided
Not provided
Not provided
Not provided
| ID | Title | Description |
|---|---|---|
| FG000 | Normal-weight | Participants who have a body mass index within the normal-weight category. Oral glucose tolerance test: After 8 hours fasting overnight, an intravenous catheter is placed in the arm or hand for blood draws. Participants drink 75 grams of an oral glucose drink after baseline blood samples are drawn. More blood draws occur at 10, 20, 30, 60 and 120 min post-glucose drink. Cognitive testing: For approximately 40 minutes, participants are assessed for cognitive function using computer-based tests available from the NIH Toolbox Cognitive Battery (Weintraub et al., 2013), including attention and executive functioning, episodic memory, working memory, language, processing speed, and immediate recall. Magnetic resonance imaging: Magnetic resonance imaging (MRI) scans will be performed in a 3 Tesla MRI scanner over 1.5 hours. Participants will be asked to lay down flat on their backs and to try to stay still throughout the MRI scan. The participant will wear MRI-safe headphones to block out noise due to the MRI scans. Participant comfort will be verbally checked on throughout the scan and the participant will be provided with a 'squeeze ball' to signal the MRI technician that they want to get out of the scanner immediately. |
| FG001 | Obese | Participants who have a body mass index within the obese category. Oral glucose tolerance test: After 8 hours fasting overnight, an intravenous catheter is placed in the arm or hand for blood draws. Participants drink 75 grams of an oral glucose drink after baseline blood samples are drawn. More blood draws occur at 10, 20, 30, 60 and 120 min post-glucose drink. Cognitive testing: For approximately 40 minutes, participants are assessed for cognitive function using computer-based tests available from the NIH Toolbox Cognitive Battery (Weintraub et al., 2013), including attention and executive functioning, episodic memory, working memory, language, processing speed, and immediate recall. Magnetic resonance imaging: Magnetic resonance imaging (MRI) scans will be performed in a 3 Tesla MRI scanner over 1.5 hours. Participants will be asked to lay down flat on their backs and to try to stay still throughout the MRI scan. The participant will wear MRI-safe headphones to block out noise due to the MRI scans. Participant comfort will be verbally checked on throughout the scan and the participant will be provided with a 'squeeze ball' to signal the MRI technician that they want to get out of the scanner immediately. |
| Title | Milestones | Reasons Not Completed | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
|
Not provided
Not provided
| ID | Title | Description |
|---|---|---|
| BG000 | Normal-weight | Participants who have a body mass index within the normal-weight category. Oral glucose tolerance test: After 8 hours fasting overnight, an intravenous catheter is placed in the arm or hand for blood draws. Participants drink 75 grams of an oral glucose drink after baseline blood samples are drawn. More blood draws occur at 10, 20, 30, 60 and 120 min post-glucose drink. Cognitive testing: For approximately 40 minutes, participants are assessed for cognitive function using computer-based tests available from the NIH Toolbox Cognitive Battery (Weintraub et al., 2013), including attention and executive functioning, episodic memory, working memory, language, processing speed, and immediate recall. Magnetic resonance imaging: Magnetic resonance imaging (MRI) scans will be performed in a 3 Tesla MRI scanner over 1.5 hours. Participants will be asked to lay down flat on their backs and to try to stay still throughout the MRI scan. The participant will wear MRI-safe headphones to block out noise due to the MRI scans. Participant comfort will be verbally checked on throughout the scan and the participant will be provided with a 'squeeze ball' to signal the MRI technician that they want to get out of the scanner immediately. |
| 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 | Brain Inflammation Metrics in Obese and Normal-weight Individuals as Measured by Magnetic Resonance Image-based Diffusion Basis Spectrum Imaging (DBSI) | Diffusion Basis Spectrum Imaging (Cross and Song, 2017) is a computational method that will be applied to diffusion tensor images of the brain to estimate putative inflammation-related markers including cellularity and edema in obese and normal-weight individuals. DBSI metrics are quantitative but unitless. Cellularity and edema fractions of the total diffusion signal (including axial, radial, restricted (cellularity) and hindered (edema)) will be estimated in brain white matter tracts. | Data from 8 individuals with normal-weight and 6 individuals with obesity were included in baseline analyses. Five individuals were enrolled in the study but their data was not collected due to meeting exclusion criteria. One individual was enrolled but could not be scheduled for the study and therefore did not contribute data. | Posted | Mean | Standard Deviation | unitless | 1.5 hours at the end of one (up to) 8 hour study day that includes all outcome measures |
|
Over one study visit, about 8 hours per participant
Not provided
Not provided
| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Normal-weight | Participants who have a body mass index within the normal-weight category. Oral glucose tolerance test: After 8 hours fasting overnight, an intravenous catheter is placed in the arm or hand for blood draws. Participants drink 75 grams of an oral glucose drink after baseline blood samples are drawn. More blood draws occur at 10, 20, 30, 60 and 120 min post-glucose drink. Cognitive testing: For approximately 40 minutes, participants are assessed for cognitive function using computer-based tests available from the NIH Toolbox Cognitive Battery (Weintraub et al., 2013), including attention and executive functioning, episodic memory, working memory, language, processing speed, and immediate recall. Magnetic resonance imaging: Magnetic resonance imaging (MRI) scans will be performed in a 3 Tesla MRI scanner over 1.5 hours. Participants will be asked to lay down flat on their backs and to try to stay still throughout the MRI scan. The participant will wear MRI-safe headphones to block out noise due to the MRI scans. Participant comfort will be verbally checked on throughout the scan and the participant will be provided with a 'squeeze ball' to signal the MRI technician that they want to get out of the scanner immediately. |
Not provided
Not provided
An early anticipated enrollment table specified a total of 8 individuals. Due to necessary change in study methods, we were able to increase the anticipated enrollment to 20 individuals. 20 individuals were enrolled but 5 met exclusion criteria during further screening (after signing informed consent) and one could not be scheduled due to scheduling conflicts (but they had signed the consent form). In total, we had complete datasets from 14 enrolled individuals.
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Sarah Eisenstein, Associate Professor in Psychiatry | Washington University School of Medicine | 3143627107 | seisens@wustl.edu |
Not provided
| 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 | Aug 25, 2020 | Jul 14, 2022 | Prot_SAP_000.pdf |
Not provided
| ID | Term |
|---|---|
| D009765 | Obesity |
| D007249 | Inflammation |
| D060825 | Cognitive Dysfunction |
| ID | Term |
|---|---|
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
Not provided
Not provided
| ID | Term |
|---|---|
| D005951 | Glucose Tolerance Test |
| D009483 | Neuropsychological Tests |
| D009682 | Magnetic Resonance Spectroscopy |
| ID | Term |
|---|---|
| D001774 | Blood Chemical Analysis |
| D019963 | Clinical Chemistry Tests |
| D019411 | Clinical Laboratory Techniques |
| D019937 | Diagnostic Techniques and Procedures |
Not provided
Not provided
This study employed a single group model in which participants with obesity and participants with normal-weight underwent magnetic resonance imaging, blood draws and cognitive assessment.
Not provided
Not provided
Neuroimaging data was processed using automated methods blind to group membership. Blood samples were analyzed by laboratory personnel blind to group membership.
|
| Cognitive testing | Behavioral | For approximately 40 minutes, participants are assessed for cognitive function using computer-based tests available from the NIH Toolbox Cognitive Battery (Weintraub et al., 2013), including attention and executive functioning, episodic memory, working memory, language, processing speed, and immediate recall. |
|
| Magnetic resonance imaging | Procedure | Magnetic resonance imaging (MRI) scans will be performed in a 3 Tesla MRI scanner over 1.5 hours. Participants will be asked to lay down flat on their backs and to try to stay still throughout the MRI scan. The participant will wear MRI-safe headphones to block out noise due to the MRI scans. Participant comfort will be verbally checked on throughout the scan and the participant will be provided with a 'squeeze ball' to signal the MRI technician that they want to get out of the scanner immediately. |
|
| Cross AH, Song SK. "A new imaging modality to non-invasively assess multiple sclerosis pathology". J Neuroimmunol. 2017 Mar 15;304:81-85. doi: 10.1016/j.jneuroim.2016.10.002. Epub 2016 Oct 8. |
| 11147781 | Background | Breda E, Cavaghan MK, Toffolo G, Polonsky KS, Cobelli C. Oral glucose tolerance test minimal model indexes of beta-cell function and insulin sensitivity. Diabetes. 2001 Jan;50(1):150-8. doi: 10.2337/diabetes.50.1.150. |
| BG001 | Obese | Participants who have a body mass index within the obese category. Oral glucose tolerance test: After 8 hours fasting overnight, an intravenous catheter is placed in the arm or hand for blood draws. Participants drink 75 grams of an oral glucose drink after baseline blood samples are drawn. More blood draws occur at 10, 20, 30, 60 and 120 min post-glucose drink. Cognitive testing: For approximately 40 minutes, participants are assessed for cognitive function using computer-based tests available from the NIH Toolbox Cognitive Battery (Weintraub et al., 2013), including attention and executive functioning, episodic memory, working memory, language, processing speed, and immediate recall. Magnetic resonance imaging: Magnetic resonance imaging (MRI) scans will be performed in a 3 Tesla MRI scanner over 1.5 hours. Participants will be asked to lay down flat on their backs and to try to stay still throughout the MRI scan. The participant will wear MRI-safe headphones to block out noise due to the MRI scans. Participant comfort will be verbally checked on throughout the scan and the participant will be provided with a 'squeeze ball' to signal the MRI technician that they want to get out of the scanner immediately. |
| BG002 | Total | Total of all reporting groups |
| years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Race/Ethnicity, Customized | Count of Participants | Participants |
|
| Region of Enrollment | Number | participants |
|
| Body Mass Index | Mean | Standard Deviation | kg/m^2 |
|
| HbA1c | Mean | Standard Deviation | percentage of glycosylated hemoglobin |
|
| Fasting glucose | Mean | Standard Deviation | mg/dL |
|
| Fasting plasma insulin | Mean | Standard Deviation | uU/mL |
|
| Homeostatic measure of insulin resistance (HOMA-IR) | Homeostatic model for insulin resistance, where greater HOMA-IR indicates greater insulin resistance. | Mean | Standard Deviation | unitless |
|
| Fasting plasma free fatty acid (FFA) | Mean | Standard Deviation | mEq/L |
|
| Fasting plasma C-reactive protein (CRP) | Pro-inflammatory marker | Mean | Standard Deviation | mg/L |
|
| Fasting plasma monocyte chemoattractant protein-1 (MCP-1) | Pro-inflammatory marker | Mean | Standard Deviation | pg/mL |
|
| Fasting plasma tumor necrosis factor-alpha (TNF-alpha) | Pro-inflammatory marker | Mean | Standard Deviation | pg/mL |
|
| Fasting plasma adiponectin | Anti-inflammatory marker | Mean | Standard Deviation | ug/mL |
|
| Fasting plasma interleukin-10 (IL-10) | Anti-inflammatory marker | Mean | Standard Deviation | pg/mL |
|
| Fasting plasma leptin | "Satiety" hormone | Mean | Standard Deviation | ug/L |
|
| Fasting plasma ghrelin | "Hunger" hormone | Mean | Standard Deviation | pg/mL |
|
| OG000 | Normal-weight | Participants who have a body mass index within the normal-weight category. Oral glucose tolerance test: After 8 hours fasting overnight, an intravenous catheter is placed in the arm or hand for blood draws. Participants drink 75 grams of an oral glucose drink after baseline blood samples are drawn. More blood draws occur at 10, 20, 30, 60 and 120 min post-glucose drink. Cognitive testing: For approximately 40 minutes, participants are assessed for cognitive function using computer-based tests available from the NIH Toolbox Cognitive Battery (Weintraub et al., 2013), including attention and executive functioning, episodic memory, working memory, language, processing speed, and immediate recall. Magnetic resonance imaging: Magnetic resonance imaging (MRI) scans will be performed in a 3 Tesla MRI scanner over 1.5 hours. Participants will be asked to lay down flat on their backs and to try to stay still throughout the MRI scan. The participant will wear MRI-safe headphones to block out noise due to the MRI scans. Participant comfort will be verbally checked on throughout the scan and the participant will be provided with a 'squeeze ball' to signal the MRI technician that they want to get out of the scanner immediately. |
| OG001 | Obese | Participants who have a body mass index within the obese category. Oral glucose tolerance test: After 8 hours fasting overnight, an intravenous catheter is placed in the arm or hand for blood draws. Participants drink 75 grams of an oral glucose drink after baseline blood samples are drawn. More blood draws occur at 10, 20, 30, 60 and 120 min post-glucose drink. Cognitive testing: For approximately 40 minutes, participants are assessed for cognitive function using computer-based tests available from the NIH Toolbox Cognitive Battery (Weintraub et al., 2013), including attention and executive functioning, episodic memory, working memory, language, processing speed, and immediate recall. Magnetic resonance imaging: Magnetic resonance imaging (MRI) scans will be performed in a 3 Tesla MRI scanner over 1.5 hours. Participants will be asked to lay down flat on their backs and to try to stay still throughout the MRI scan. The participant will wear MRI-safe headphones to block out noise due to the MRI scans. Participant comfort will be verbally checked on throughout the scan and the participant will be provided with a 'squeeze ball' to signal the MRI technician that they want to get out of the scanner immediately. |
|
|
|
| Primary | Cognitive Function in Obese and Normal-weight Individuals as Measured by the National Institutes of Health (NIH) Toolbox Cognitive Battery and DBSI Putative Neuroinflammation Metrics | Cognitive performance including fluid and crystallized cognition composite T-scores from computer-based NIH Cognitive Toolbox assessments (Weintraub et al., 2013) will be assessed in obese and normal-weight individuals. These T-scores will include scores from tasks that assess attention and executive functioning, episodic memory, working memory, language, processing speed, and immediate recall (see NIH Toolbox Cognitive Battery website). T-scores are corrected for socioeconomic status and their distribution has a mean of 50 and a standard deviation of 10. Higher T-scores indicate better cognitive function. T-scores will be correlated with DBSI-assessed neuroinflammation metrics including restricted fraction (DBSI RF, putative cellularity) and hindered fraction (DBSI HF, putative vasogenic edema) in brain white matter tracts. | Two individuals in the normal-weight group were not native English speakers and their cognitive data is not included. A complete set of fluid cognition measures was not collected from one normal-weight participant and their fluid cognition data is not included. | Posted | Mean | Standard Deviation | T-score | 40 minutes during one (up to) 8 hour study day that includes all outcome measures; after OGTT and prior to MRI |
|
|
|
|
| Post-Hoc | Metabolic Markers in Plasma and Relationships With DBSI Neuroinflammation Metrics in White Matter Tracts in Obese and Normal-weight Individuals. | Fasting plasma insulin, a measure of insulin resistance in which higher levels may reflect greater effort to maintain glucose homeostasis, was measured by radioimmunoassay. Normal fasting plasma insulin levels are < 25 uU/mL. | Posted | Mean | Standard Deviation | uU/mL | Baseline |
|
|
|
|
| Post-Hoc | Metabolic Markers in Plasma and Relationships With DBSI Neuroinflammation Metrics in White Matter Tracts in Obese and Normal-weight Individuals. | Fasting plasma leptin, a hormone related to adipose tissue mass such that higher levels reflect greater adipose tissue mass, was measured by radioimmunoassay. For body mass index (BMI) in normal-weight (18.5-24.9 kg/m^2), leptin reference range = 1.8-24.2 ug/L in females and 0.2-7.7 in males. For BMI in individuals with obesity, leptin reference range = 10.6-141 in females and 3.2-135 in males. | Posted | Mean | Standard Deviation | ug/L | Baseline |
|
|
|
|
| Post-Hoc | Metabolic Markers in Plasma and Relationships With DBSI Neuroinflammation Metrics in White Matter Tracts in Obese and Normal-weight Individuals. | Fasting plasma ghrelin, a hormone related to hunger in which higher levels may signal the stomach is empty and it is time to eat, was measured by radioimmunoassay. Plasma ghrelin levels tend to be lower in people with obesity. There is no established normal range for fasting plasma ghrelin levels as assessed by radioimmunoassay. | Posted | Mean | Standard Deviation | pg/mL | Baseline |
|
|
|
|
| Post-Hoc | Metabolic Markers in Plasma and Relationships With DBSI Neuroinflammation Metrics in White Matter Tracts in Obese and Normal-weight Individuals. | Homeostatic measure of insulin resistance (HOMA-IR) where higher scores indicate greater insulin resistance, or diminished maintenance of glucose homeostasis by insulin. HOMA-IR was calculated according to the formula: fasting insulin (uU/L) * fasting glucose (nmol/L)/22.5 A HOMA-IR score >2.5 indicates insulin resistance. | Posted | Mean | Standard Deviation | HOMA-IR score | Baseline |
|
|
|
|
| Post-Hoc | Peripheral Inflammation as Measured by Plasma Assays and Relationships With DBSI Putative Neuroinflammation Metrics in White Matter Tracts in Obese and Normal-weight Individuals | Fasting plasma interleukin (IL)-10, an anti-inflammatory cytokine important for immune response. IL-10 was measured using high-sensitive enzyme-linked immuno-absorbent assay (ELISA). Normal reference ranges for IL-10 have not been established and better or worse levels depend on disease state. | Posted | Mean | Standard Deviation | pg/mL | Baseline |
|
|
|
|
| Post-Hoc | Peripheral Inflammation as Measured by Plasma Assays and Relationships With DBSI Putative Neuroinflammation Metrics in White Matter Tracts in Obese and Normal-weight Individuals | Fasting plasma adiponectin, an anti-inflammatory cytokine important for immune response. Adiponectin was measured using radioimmunoassay. Normal reference ranges for adiponectin is 2.5-21.1 ug/mL. Lower levels of adiponectin tend to be associated with worse metabolic health and higher body mass index. | Posted | Mean | Standard Deviation | ug/mL | Baseline |
|
|
|
|
| Post-Hoc | Peripheral Inflammation as Measured by Plasma Assays and Relationships With DBSI Putative Neuroinflammation Metrics in White Matter Tracts in Obese and Normal-weight Individuals | Fasting plasma tumor necrosis factor (TNF)-alpha, a pro-inflammatory cytokine important for systemic inflammation. TNF-alpha was measured using high-sensitive enzyme-linked immuno-absorbent assay (ELISA). Normal TNF-alpha levels range from non-detectable to 8.1 pg/mL and tend to be higher in people with obesity compared to normal-weight. | Posted | Mean | Standard Deviation | pg/mL | Baseline |
|
|
|
|
| Post-Hoc | Peripheral Inflammation as Measured by Plasma Assays and Relationships With DBSI Putative Neuroinflammation Metrics in White Matter Tracts in Obese and Normal-weight Individuals | Fasting plasma monocyte chemoreactant protein (MCP)-1, a pro-inflammatory chemokine important for immune response and inflammation. MCP-1 was measured using enzyme-linked immuno-absorbent assay (ELISA). Normal reference ranges for MCP-1 have not been established but higher levels tend to be associated with higher body mass index. | Posted | Mean | Standard Deviation | pg/mL | Baseline |
|
|
|
|
| Post-Hoc | Peripheral Inflammation as Measured by Plasma Assays and Relationships With DBSI Putative Neuroinflammation Metrics in White Matter Tracts in Obese and Normal-weight Individuals | Fasting plasma high-sensitive C-reactive protein (CRP), where higher levels may reflect greater low-grade inflammation. High-sensitive CRP was measured using high-sensitive CRP turbidimetry assay. Higher high-sensitive CRP levels may reflect greater risk for cardiovascular disease. Normal range for hs-CRP is usually below 1 mg/L. | Posted | Mean | Standard Deviation | mg/L | Baseline |
|
|
|
|
| 0 |
| 8 |
| 0 |
| 8 |
| 0 |
| 8 |
| EG001 | Obese | Participants who have a body mass index within the obese category. Oral glucose tolerance test: After 8 hours fasting overnight, an intravenous catheter is placed in the arm or hand for blood draws. Participants drink 75 grams of an oral glucose drink after baseline blood samples are drawn. More blood draws occur at 10, 20, 30, 60 and 120 min post-glucose drink. Cognitive testing: For approximately 40 minutes, participants are assessed for cognitive function using computer-based tests available from the NIH Toolbox Cognitive Battery (Weintraub et al., 2013), including attention and executive functioning, episodic memory, working memory, language, processing speed, and immediate recall. Magnetic resonance imaging: Magnetic resonance imaging (MRI) scans will be performed in a 3 Tesla MRI scanner over 1.5 hours. Participants will be asked to lay down flat on their backs and to try to stay still throughout the MRI scan. The participant will wear MRI-safe headphones to block out noise due to the MRI scans. Participant comfort will be verbally checked on throughout the scan and the participant will be provided with a 'squeeze ball' to signal the MRI technician that they want to get out of the scanner immediately. | 0 | 6 | 0 | 6 | 0 | 6 |
Not provided
Not provided
| D001835 |
| Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D010335 | Pathologic Processes |
| D003072 | Cognition Disorders |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D003933 | Diagnosis |
| D003940 | Diagnostic Techniques, Endocrine |
| D008919 | Investigative Techniques |
| D011581 | Psychological Tests |
| D004191 | Behavioral Disciplines and Activities |
| D013057 | Spectrum Analysis |
| D002623 | Chemistry Techniques, Analytical |
| Fluid Cognition |
|
|
| This is a pilot study with a small sample. Power to detect significant results is therefore low in the current study. Analyses performed across normal-weight and obese groups. | Regression, Linear | 0.10 | a priori threshold: p < 0.05 | Slope | 0.52 | 2-Sided | Other | Alternative hypothesis: Worse fluid cognitive function will relate to greater putative vasogenic edema (DBSI HF) in white matter tracts. Null hypothesis: Fluid cogntive function is not related to DBSI HF. |
| This is a pilot study with a small sample. Power to detect significant results is therefore low in the current study. Analyses performed across normal-weight and obese groups. | Regression, Linear | 0.01 | a priori threshold: p < 0.05 | Slope | -0.45 | 2-Sided | Other | Alternative hypothesis: Worse crystallized cognitive function will relate to greater putative cellularity (DBSI RF) in white matter tracts. Null hypothesis: Crystallized cognitive function is not related to DBSI RF. |
| This is a pilot study with a small sample. Power to detect significant results is therefore low in the current study. Analyses performed across normal-weight and obese groups. | Regression, Linear | 0.10 | a priori threshold: p < 0.05 | Slope | 0.22 | 2-Sided | Other | Alternative hypothesis: Worse fluid cognitive function will relate to greater putative cellularity (DBSI RF) in white matter tracts. Null hypothesis: Fluid cognitive function is not related to DBSI RF. |
| This is a pilot study with a small sample. Power to detect significant results is therefore low in the current study. Analyses performed across normal-weight and obese groups. | Regression, Linear | >0.5 | a priori threshold: p < 0.05 | Slope | -0.22 | 2-Sided | Other | Alternative hypothesis: higher levels of insulin, a pro-inflammatory marker, will relate to higher levels of putative neuroinflammation in white matter tracts as measured by DBSI hindered fraction after controlling for BMI. Null hypothesis: Insulin levels will not be related to DBSI HF in white matter tracts after controlling for BMI. |
| This is a pilot study with a small sample. Power to detect significant results is therefore low in the current study. Analyses performed across normal-weight and obese groups. | Regression, Linear | 0.82 | Slope | -0.07 | 2-Sided | Other | Alternative hypothesis: higher levels of leptin, a pro-inflammatory marker and "satiety" hormone, will relate to higher levels of putative neuroinflammation in white matter tracts as measured by DBSI hindered fraction after controlling for BMI. Null hypothesis: Leptin levels will not be related to DBSI HF in white matter tracts after controlling for BMI. |
| This is a pilot study with a small sample. Power to detect significant results is therefore low in the current study. Analyses performed across normal-weight and obese groups. | Regression, Linear | 0.71 | a priori threshold: p < 0.05 | Slope | -0.12 | 2-Sided | Other | Alternative hypothesis: higher levels of ghrelin, an anti-inflammatory marker and "hunger" hormone, will relate to lower levels of putative neuroinflammation in white matter tracts as measured by DBSI hindered fraction after controlling for BMI. Null hypothesis: Ghrelin levels will not be related to DBSI HF in white matter tracts after controlling for BMI. |
| This is a pilot study with a small sample. Power to detect significant results is therefore low in the current study. Analyses performed across normal-weight and obese groups. | Regression, Linear | 0.5 | Slope | -0.21 | 2-Sided | Other | Alternative hypothesis: greater HOMA-IR, where higher HOMA-IR indicates greater insulin resistance, will relate to higher levels of putative neuroinflammation in white matter tracts as measured by DBSI hindered fraction after controlling for BMI. Null hypothesis: HOMA-IR levels will not be related to DBSI HF in white matter tracts after controlling for BMI. |
| This is a pilot study with a small sample. Power to detect significant results is therefore low in the current study. Analyses performed across normal-weight and obese groups. | Regression, Linear | 0.45 | a priori threshold: p < 0.05 | Slope | -0.2 | 2-Sided | Other | Alternative hypothesis: higher levels of IL-10, an anti-inflammatory marker, will relate to lower levels of putative neuroinflammation in white matter tracts as measured by DBSI hindered fraction after controlling for BMI. Null hypothesis: IL-10 levels will not be related to DBSI HF in white matter tracts after controlling for BMI. |
| This is a pilot study with a small sample. Power to detect significant results is therefore low in the current study. Analyses performed across normal-weight and obese groups. | Regression, Linear | 0.52 | a priori threshold: p < 0.05 | Slope | -0.2 | 2-Sided | Other | Alternative hypothesis: higher levels of adiponectin, an anti-inflammatory marker, will relate to lower levels of putative neuroinflammation in white matter tracts as measured by DBSI hindered fraction after controlling for BMI. Null hypothesis: Adiponectin levels will not be related to DBSI HF in white matter tracts after controlling for BMI. |
| This is a pilot study with a small sample. Power to detect significant results is therefore low in the current study. Analyses performed across normal-weight and obese groups. | Regression, Linear | 0.87 | a priori threshold: p < 0.05 | Slope | 0.04 | 2-Sided | Other | Alternative hypothesis: higher levels of TNF-alpha, a pro-inflammatory marker, will relate to higher levels of putative neuroinflammation in white matter tracts as measured by DBSI hindered fraction after controlling for BMI. Null hypothesis: TNF-alpha levels will not be related to DBSI HF in white matter tracts after controlling for BMI. |
| This is a pilot study with a small sample. Power to detect significant results is therefore low in the current study. Analyses performed across normal-weight and obese groups. | Regression, Linear | 0.71 | a priori threshold: p < 0.05 | Slope | 0.12 | 2-Sided | Other | Alternative hypothesis: higher levels of MCP-1, a pro-inflammatory marker, will relate to higher levels of putative neuroinflammation in white matter tracts as measured by DBSI hindered fraction after controlling for BMI. Null hypothesis: MCP-1 levels will not be related to DBSI HF in white matter tracts after controlling for BMI. |
| This is a pilot study with a small sample. Power to detect significant results is therefore low in the current study. Analyses performed across normal-weight and obese groups. | Regression, Linear | 0.77 | a priori threshold: p < 0.05 | Slope | 0.09 | 2-Sided | Other | Alternative hypothesis: higher levels of CRP, a pro-inflammatory marker, will relate to higher levels of putative neuroinflammation in white matter tracts as measured by DBSI hindered fraction after controlling for BMI. Null hypothesis: CRP levels will not be related to DBSI HF in white matter tracts after controlling for BMI. |