- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03219229
Metabolic Effects of Differential Organ Growth Rates
July 14, 2017 updated by: Dympna Gallagher, Columbia University
Young children have a high resting energy expenditure (REE) relative to their body weight and metabolically active compartment, fat-free mass (FFM).
Both body weight and FFM are, however, metabolically heterogeneous and include organs and tissues varying widely in specific metabolic rate (i.e., organ REE/kg/d).
One prevailing hypothesis is that most, if not all, of the higher REE observed in young animals and children compared to adults can be accounted for by a larger proportion of high metabolic rate components such as brain, liver, and heart..
Study Overview
Status
Completed
Conditions
Detailed Description
FFM was the traditional and only means of adjusting REE for between-individual differences in metabolically active tissue components.
The investigators seek to improve the understanding of variation in REE by developing new and improved rapid magnetic resonance imaging (MRI) methods of quantifying some of the major heat producing organs and tissues in children and adults.
The long-term aim is to provide an improved understanding of human energy requirements.
Specifically, the investigators propose to test whether: 1) a portion of the elevated daily REE adjusted for FFM observed in young children (Tanner Stage 1) could be accounted for by the relative fractions of body mass as high metabolic activity tissues (heart, liver, kidney, brain) and low metabolic activity tissues (skeletal muscle, adipose tissue), 2) a portion of the age-related decline in daily REE adjusted for FFM observed in children could be accounted for by changes in the relative fractions of body mass as high and low metabolic rate tissues during growth.
Study Type
Observational
Enrollment (Actual)
49
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
New York
-
New York, New York, United States, 10032
- Dympna Gallagher
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
7 years to 11 years (Child)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Subjects will be healthy African-American, Asian (Chinese, Korean, Japanese), and Caucasian pre-pubertal females and males (ages 7-11 years) at baseline.
Lean (Body mass index (BMI) < 85th by age and sex) and obese (BMI > 95th percentile by age and sex.
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
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
|
Prepubertal children
Healthy 7-11 year old girls and boys.
|
What is the study measuring?
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
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
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Dympna Gallagher, Columbia University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
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
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
February 14, 2004
Primary Completion (Actual)
February 20, 2007
Study Completion (Actual)
February 20, 2007
Study Registration Dates
First Submitted
July 11, 2017
First Submitted That Met QC Criteria
July 13, 2017
First Posted (Actual)
July 17, 2017
Study Record Updates
Last Update Posted (Actual)
July 18, 2017
Last Update Submitted That Met QC Criteria
July 14, 2017
Last Verified
July 1, 2017
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- AAAO3053
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
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
-
University of BonnCompletedResting Energy ExpenditureGermany
-
University of BonnDLR German Aerospace CenterCompletedResting Energy ExpenditureGermany
-
ART Medical Ltd.CompletedResting Energy Expenditure | Comparative Study | REEIsrael
-
Peking University First HospitalCompletedPeritoneal Dialysis | Resting Energy Expenditure | EquationChina
-
University of ThessalyCompletedBody Composition | Physical Fitness | Energy Expenditure | Resting Metabolic RateGreece
-
University of ThessalyCompletedBody Composition | Physical Fitness | Energy Expenditure | Resting Metabolic RateGreece
-
USDA, Western Human Nutrition Research CenterUniversity of California, DavisCompletedCardiovascular Risk Factor | Athletic Performance | Fasting | Resting Energy Expenditure | Intermittent FastingUnited States
-
Tel-Aviv Sourasky Medical CenterCompletedResting Energy ExpenditureIsrael
-
University of ThessalyCompletedBody Composition | Physical Fitness | Energy Expenditure | Resting Metabolic RateGreece
-
Indiana UniversityOffice of Naval Research (ONR)CompletedResting Energy Expenditure | Brown Adipose Tissue | ThermogenesisUnited States