Metabolic Effects of Differential Organ Growth Rates
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
New York
-
New York, New York, United States, 10032
- Dympna Gallagher
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Healthy
- Aged from 7-11 years
- Pre-pubertal (based on Tanner staging)
- Africa-American, Asian, and Caucasian (by self-report of all 4 grandparents of same race group)
Exclusion Criteria:
- Actively involved in a weight management program
- Have co-morbidities of obesity (Blounts disease, hypertension, diabetes; sleep apnea)
- Have entered puberty
- Precocious puberty
- Have known metabolic abnormalities
- Were born prematurely, or were small or large for gestational age
- Lean individuals who have a family history (parents or siblings) of obesity or Type 2 diabetes
- Current or previous significant use of any medication known to affect any of the variables being measured
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
|---|
|
Prepubertal children
Healthy 7-11 year old girls and boys.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Resting energy expenditure in kilocalories
Time Frame: Day 1
|
REE is measured by indirect calorimetry over a 30 minute period and extrapolated to a 24 hour period
|
Day 1
|
|
Fat mass in kilograms
Time Frame: Day 1
|
Measured from a whole-body dual energy X-ray absorptiometry (DXA) scan
|
Day 1
|
|
Fat-free mass in kilograms
Time Frame: Day 1
|
Measured from a whole-body dual energy X-ray absorptiometry (DXA) scan
|
Day 1
|
|
Height in meters
Time Frame: Day 1
|
Measured using a stadiometer
|
Day 1
|
|
Weight in kilograms
Time Frame: Day 1
|
Measured using a calibrated scale
|
Day 1
|
|
Liver in kilograms
Time Frame: Day 1
|
Total volume measured by MRI
|
Day 1
|
|
Heart in kilogram
Time Frame: Day 1
|
Left ventricular mass measured by cardiac gated MRI
|
Day 1
|
|
Kidneys in kilogram
Time Frame: Day 1
|
Total volume measured by MRI
|
Day 1
|
|
Spleen in kilograms
Time Frame: Day 1
|
Total volume measured by MRI
|
Day 1
|
|
Trunk high metabolic rate organs in kilograms
Time Frame: Day 1
|
The sum of liver, kidneys, spleen, and heart
|
Day 1
|
|
Brain mass in kilogram
Time Frame: Day 1
|
Total volume measured by MRI
|
Day 1
|
|
Skeletal muscle mass in kilograms
Time Frame: Day 1
|
Skeletal muscle volume measured by MRI
|
Day 1
|
|
Residual fat-free mass in kilograms
Time Frame: Day 1
|
Fat-free mass minus the sum of kidneys, liver, spleen, heart, and skeletal muscle
|
Day 1
|
|
Total body adipose tissue mass in kilogram
Time Frame: Day 1
|
Represents the sum of visceral, subcutaneous, and intermuscular adipose tissue by MRI
|
Day 1
|
|
Body mass index in kg/m2
Time Frame: Day 1
|
Weight and height will be combined to report BMI
|
Day 1
|
|
Variability in resting energy expenditure
Time Frame: Day 1
|
The collected measures will be aggregated to statistically test the following question: How much of the variability in resting energy expenditure can be accounted for by the mass of the measured organs (liver, kidneys, spleen, heart) and tissues (fat, skeletal muscle, brain) and is the explained variance greater than the variance explained when predicting resting energy explained from a model using fat and fat-free mass alone.
|
Day 1
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in resting energy expenditure in relation to changes in body composition and organ mass.
Time Frame: From baseline measure to follow-up, approximately 2 years
|
A portion of age-related decline (2-years) in daily REE adjusted for FFM observed in children is explainable in part by changes in the relative fractions of body mass as high (brain, heart, liver, kidney) and low (skeletal muscle, adipose tissue) metabolic activity tissues with growth and pubertal progress
|
From baseline measure to follow-up, approximately 2 years
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Dympna Gallagher, Columbia University
Publications and helpful links
General Publications
- Bauer J, Thornton J, Heymsfield S, Kelly K, Ramirez A, Gidwani S, Gallagher D. Dual-energy X-ray absorptiometry prediction of adipose tissue depots in children and adolescents. Pediatr Res. 2012 Oct;72(4):420-5. doi: 10.1038/pr.2012.100. Epub 2012 Jul 20.
- Dorsey KB, Thornton JC, Heymsfield SB, Gallagher D. Greater lean tissue and skeletal muscle mass are associated with higher bone mineral content in children. Nutr Metab (Lond). 2010 May 11;7:41. doi: 10.1186/1743-7075-7-41.
- Shen W, Velasquez G, Chen J, Jin Y, Heymsfield SB, Gallagher D, Pi-Sunyer FX. Comparison of the relationship between bone marrow adipose tissue and volumetric bone mineral density in children and adults. J Clin Densitom. 2014 Jan-Mar;17(1):163-9. doi: 10.1016/j.jocd.2013.02.009. Epub 2013 Mar 21.
- Gao Y, Zong K, Gao Z, Rubin MR, Chen J, Heymsfield SB, Gallagher D, Shen W. Magnetic resonance imaging-measured bone marrow adipose tissue area is inversely related to cortical bone area in children and adolescents aged 5-18 years. J Clin Densitom. 2015 Apr-Jun;18(2):203-8. doi: 10.1016/j.jocd.2015.03.002. Epub 2015 Apr 1.
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 (Actual)
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
Keywords
Other Study ID Numbers
Other Study ID Numbers
- AAAO3053
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Resting Energy Expenditure
-
NCT05711212CompletedResting Energy Expenditure
-
NCT05505240CompletedResting Energy Expenditure
-
NCT07165080CompletedResting Energy Expenditure | Comparative Study | REE
-
NCT04947839CompletedPeritoneal Dialysis | Resting Energy Expenditure | Equation
-
NCT05412511CompletedBody Composition | Physical Fitness | Energy Expenditure | Resting Metabolic Rate
-
NCT05412498CompletedBody Composition | Physical Fitness | Energy Expenditure | Resting Metabolic Rate
-
NCT03569852CompletedCardiovascular Risk Factor | Athletic Performance | Fasting | Resting Energy Expenditure | Intermittent Fasting
-
NCT01595191CompletedResting Energy Expenditure
-
NCT05221177CompletedBody Composition | Physical Fitness | Energy Expenditure | Resting Metabolic Rate
-
NCT03193632CompletedResting Energy Expenditure