Tissue Partitioning in Early Childhood

November 21, 2019 updated by: Krista Casazza, University of Alabama at Birmingham

Tissue Partitioning in Early Childhood: A Critical Period for Obesity Risk?

Early childhood (~4-6 years of age) is an important window for determining body composition trajectory and may be a critical period for the development of tissue partitioning patterns that influence later disease risk, including obesity and type 2 diabetes. As adiposity accelerates during this critical period, deposition/ preservation of fat stores may be sustained at the 'expense' of other tissues; i.e. energy homeostasis may be inherently biased toward fat gain. The type and amount of tissue mass accrued in early childhood has implications for metabolic profile, glucose/insulin homeostasis, hormone profile and resting energy expenditure.

The interplay between fat and bone deposition represents a physiologic trait enabling the body to choose between shuttling 'energy' towards accrual of a particular tissue. Plausibly the phenotype underlying obesity and diabetes risk may be determined by the differentiation of cell type (adipocyte, osteocyte, etc.) during this early stage of growth and development. In vitro studies demonstrate transdifferentiation under the influence of specific external stimuli, which can switch phenotypes toward other cell lineages. Further, rodent models have demonstrated that exposure to stimuli (exercise) early in life may prevent excess fat mass accrual in adulthood, even when the stimulus is later removed (animals are no longer exercising). Children's early experiences (engagement in physical activity) may 'environmentally induce' alterations in body composition and predispose individuals to diabetes throughout life (Figure 1).

Hypotheses and Specific Aims: Early growth patterns and cell differentiation may induce long term effects on body composition by impacting biological and hormonal axes that regulate childhood body composition. Body composition comprises not only absolute mass, but also aspects of size, shape and location. To that end, the following specific aims will be evaluated:

  1. Quantify body composition, adipose tissue distribution, and relative tissue ratios using magnetic resonance imaging (MRI) and dual-energy x-ray absorptiometry (DXA).

    1. Hypothesis: Early partitioning of 'resources' toward fat mass accrual will lead to decreased gains in bone mass that may persist long-term.
    2. Hypothesis: Partitioning of tissue toward fat at the expense of bone mass (and indirectly, lean mass) will result in adverse effects on glucose/insulin metabolism, total energy expenditure, resting metabolic rate and hormone signaling.
    3. Hypothesis: Children with greater levels of physical activity (energy expenditure) will have greater partitioning towards bone (and lean) mass.
  2. Quantify adipose tissue distribution and adipocyte cell size and number using MRI and histological techniques.

    1. Hypothesis: A relatively greater amount of bone marrow adipose tissue will be apparent in those children with low levels of physical activity, resulting in the preferential differentiation of pluripotent stem cells towards adipocytes vs osteocytes in the bone marrow cavity.
    2. A relatively greater adipocyte cell number will be apparent in those children with low levels of physical activity indicating greater differentiation of MSC towards adipocytes vs osteocytes.

Study Overview

Study Type

Observational

Enrollment (Actual)

24

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

    • Alabama
      • Birmingham, Alabama, United States, 35294
        • UAB

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

3 years to 7 years (Child)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Healthy children aged three to seven years

Description

Inclusion Criteria:

  • Healthy
  • Aged 3-7 years
  • Not taking medications known to affect body composition or metabolism

Exclusion Criteria:

  • Not meeting inclusion criteria

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
1

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
To evaluate if early life experiences may induce long term effects on body composition by impacting biological and hormonal axes that regulate childhood body composition.
Time Frame: 1 year
1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

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

December 1, 2009

Primary Completion (Actual)

December 1, 2010

Study Completion (Actual)

June 1, 2011

Study Registration Dates

First Submitted

December 30, 2009

First Submitted That Met QC Criteria

December 31, 2009

First Posted (Estimate)

January 1, 2010

Study Record Updates

Last Update Posted (Actual)

November 25, 2019

Last Update Submitted That Met QC Criteria

November 21, 2019

Last Verified

November 1, 2019

More Information

Terms related to this study

Other Study ID Numbers

  • F091006004

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.

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