Cognition and Magnetic Resonance Imaging of Brain Inflammation in Obesity (NIFOB)
Neuroinflammation in Obesity
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Missouri
-
Saint Louis, Missouri, United States, 63110
- Washington University School of Medicine
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Non-obese (body mass index = 18 - 25 kg/m^2) or Obese (body mass index ≥ 30 kg/m^2
- Any race or ethnicity
- Native English speaker
Exclusion Criteria:
- Past or current diabetes
- Current psychotropic medication use
- Past or current neurological illness
- Past or current substance or alcohol misuse
- Past or current mental illness
- Current binge eating disorder
- Magnetic resonance imaging contraindications
- Pregnancy
- Currently lactating
- Tobacco use within past month
- Over 350 lb
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Non-Randomized
- Interventional Model: Single Group Assignment
- Masking: Double
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Active Comparator: Normal-weight
Participants who have a body mass index within the normal-weight category.
|
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.
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 (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.
|
|
Active Comparator: Obese
Participants who have a body mass index within the obese category.
|
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.
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 (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.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
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)
Time Frame: 1.5 hours at the end of one (up to) 8 hour study day that includes all outcome measures
|
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
Time Frame: 40 minutes during one (up to) 8 hour study day that includes all outcome measures; after OGTT and prior to MRI
|
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
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Tamara Hershey, PhD, Washington University School of Medicine
Publications and helpful links
General Publications
- 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.
- 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.
- 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.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimate)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 201805053
- P30DK020579 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
- ANALYTIC_CODE
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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