interaction of vitamin b12 and ancestral genetic background with adiposity in children wilnerys...
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Interaction of Vitamin B12 and Ancestral Genetic Background with Adiposity in Children
Wilnerys Colberg HernándezMentors: José R. Fernández PhD & David Allison PhD
Obesity
What is obesity?Excess body fat accumulated to the magnitude that it may have an adverse effect on health. Obesity is determined differently in adults and children.
• BMI = weight(kg) / height²(m²)• BMI • BMI percentile
Why is this a concern?• Increasing prevalence• Obesity is associated with numerous health problems
• Heart disease, high blood pressure, diabetes, metabolic syndrome, cancer, etc.
• Shortening individuals’ lives• 70% obese children become obese adults
(Zhao, J. et.al, 2011)
Etiology of obesity
Say hi to Gordy!
http://theblueprintforlife.com/forum/topics/the-vicious-cycle-of-childhood-obesity
• Obesity is a complex disease• Individuals respond differently
What do we know of the etiology of obesity?• Through the years there has been controversy
The contribution of environmental and behavioral might sound simple…
Behavioral
Environmental
Obesity
Genetic
Nature VS Nurture
(Kimm, S. et. al, 2003)
Complex enough?
• The etiology is still not completely understood but,• Scientific research are beginning to explore these factors
• Efforts focusing these factors and its affect on adiposity
• I took interest understanding how these factors interact to influence adiposity
Obesity
Genetic
Behavioral
Environmental(McAllister, E. et.al, 2009)
• Scientists have made great advances identifying several genes that might be implicated and have found association between race/ethnicity
Lets start by…
Obesity
Genetic
Genetic variation
Ancestral Genetic Background (ADM):• ADM describes the genomic variation between populations.
• Examination of DNA variations based on genetic markers• European, African, Amerindian
• Genetic Background affects how our bodies capture, store, and release energy from food.
How do we capture individuals consumption of food?
Obesity
Genetic
(Darvasi, A. et.al, 2005)
• Today there is an emerging trend to understand how nutrients affect body composition.
• Personalized nutrition advice • Which nutrient(s) should we target?
Nutritional Components
Obesity
Environmental(Abete, I. et.al, 2011)
Behavioral
Vitamin B12
B12 is touted as an energy enhancer, metabolism booster & fat burner
Is this true?
• Relationship between vitamin B12 and excess body fat is unclear. • Found in animal based foods and fortified food.• Essential for growth, development, producing blood cells, nervous system function.• Regulation of protein and enzymes in metabolism.
Obesity
Environmental(Baltaci, D. et.al, 2012)
Behavioral
Objective
To evaluate if the interaction of dietary Vitamin B12 consumption and ADM influences levels of body fat among children from a multi-ethnic sample.
Obesity
GeneticEnvironmental
Behavioral
Methodology
• Subjects from a cross-sectional cohort study :• Sample of 319 children.• Males and females of age 7 to 12 years.• Children were recruited from Birmingham, Alabama.• Pubertal stage assessed by pediatrician according to the criteria of Marshall and
Tanner.• Not taking medication known to affect body composition.• Measurements were performed between 2004-2008 at Nutrition Obesity research
Center & the Department of Nutrition Sciences at UAB.• Anthropometric measures:
• Pubertal status (breast, genitalia, and pubic hair development)• Height (cm) - (stadiometer)• Weight (kg) - (scale-tronix 6702W)
Methods…
• Body composition• Dual-energy x-ray absorptiometry (DXA)
• Dietary Measures:• Two 24-hour diet recalls administered by a registered dietitian using triple-pass method• Total calories• B12 dietary intake ()• Other B vitamins
• Ethnicity:• Reported by parents or guardian
• Genetic Measures:• Genetic Admixture assessed by ancestry informative markers
• Amerindian, African, and European
Statistical Analyses
Log Total Fat Covariates B12 Intake African
AdmixtureB12 * Afr.
Adm.
Covariates:Total Calories, Height, Age, Sex, Tanner
Model #1
• Analyses were performed using SAS software version 9.3 • Multiple regression model
• To estimate the relationships among variables in interest
Multiple Regression Models
Resting Energy
ExpenditureCovariates B12 Intake African
AdmixtureB12 * Afr.
Adm.
Covariates:Total Calories, Weight, Age, Sex, Tanner
Model #2
Model #3
BMI Covariates B12 African Admixture
B12 * Afr. Adm.
Covariates:Total Calories, Age, Sex, Tanner
Total Lean Covariates B12 African Admixture
B12 * Afr. Adm.
Covariates:Total Calories, Age, Sex, Tanner
Model #5
Model #4
Log Total Fat Covariates **Other B -
vitaminsAfrican
AdmixtureB vitamins * Afr. Adm.
Covariates:Total Calories, Height, Age, Sex, Tanner
**B-vitamins:Thiamin, Niacin, B6, Riboflavin, Folate & pantothenic acid
Multiple Regression Models
Results: model #1
Variable Mean
Total Calorie 1892.22 469.71
Total Fat 8864.19 5686.29
Height (cm) 139.45 10.64
Weight (kg) 36.55 9.53
Age 9.55 1.57
Pubertal Stage 1.50 0.74
Vitamin B12 4.51 2.72
Male 53.11%
European American 37.89%
African American 33.23%
Hispanic American 26.40%
Mixed Race/Ethnicity 2.48%
Table 1. Baseline Descriptive Statistics
* Standard Deviation **Percentage of total sample (n=319)
Table 3. Percent of Variability Explained
Model R-squared % variability explained
Covariates + Afr. Adm. 0.3131 ____
Covariates + Afr. Adm. + B12
0.3199.68%
Covariates + Afr. Adm. + B12 + Interaction
0.34032.72%
Variables Parameter estimate P-value
African Admixture -0.053 0.7184
B12 0.064 0.0008
B12 & Afr. Adm. -0.082 0.0036
Table 2. Parameter Estimates for Interaction and Simple Effect Terms
P-value for model
0510152025303540
4
4.5
5
5.5
6
6.5
7
7.5
8
0 0.2 0.4 0.6 0.8 1 B12 intake (µg)
Log
Body
Fat
Fig 1. 3D representation of the interaction of B12 with African Admixture on Body Fat
Results: model #1
African ADM
Results: model #1
0 5 10 15 20 25 30 35 404
4.5
5
5.5
6
6.5
7
7.5
8
00.20.40.60.81
B12 intake (µg)
Log
Body
Fat
Fig 2. 2D representation of the interaction of B12 with African Admixture on Log Body Fat
Afr. ADM
Results:
Results: model #5None of the other B-vitamins had any significant associations
Model Dependent Variables Independent Variables
Parameter Estimate P-Value
2 Resting Energy
Afr. ADM. -90.49 0.0808
B12 -9.94 0.1412
interaction 12.72 0.1987
3 BMI
Afr. ADM. 0.29 0.7312
B12 0.25 0.0238
interaction -0.31 0.0591
4 Lean Mass
Afr. ADM. 293.87 .07578
B12 -50.17 0.6851
interaction 176.12 0.3333
Discussion/Conclusion
• This study demonstrates that the differences in body fat observed in children may be explained in part by the interaction of dietary micronutrients with individuals’ ADM.
Fig. 2 2D representation of the interaction of B12 intake & Afr. Adm with Log body fat
• Also, the mechanism by which the interaction of B12 and Afr. Adm. does not seem to be related to resting energy expenditure since no significant association was found in the regression model.
• Further study is needed to understand how individuals’ ancestral background and nutrient consumption may contribute to adiposity levels.
• This study may help our understanding of the etiology of obesity, hopefully for the development of nutritional intervention strategies.
Discussion/Conclusion
Acknowledgments
• NSF (EPSCoR : 1158862)• SSG• University of Alabama at Birmingham• Universidad Metropolitana• Dr. José Fernández• Dr. Hemant Tiwari • Michelle Brown Bohan PhD• Kenneth P. Kell M.Eng• Keith E. Pearson