Osteoporosis is a serious health concern of the elderly that is expected to become more prevalent as the US population ages. Like many complex physiological systems, bone biology is dependent on both genetic factors and environmental factors like diet. It is not clear, however, whether genetic and dietary factors are independent modifiers of bone health or whether their effects are synergistic. Our long-term goal is to identify the genetic variants that influence an individual's response to low dietary calcium intake and then use this information as a foundation for making personalized diet recommendations to optimize bone health. In the short term, we have two general gene x environment (GXE) interaction models that we will test. The first model predicts that the benefits of high bone mass genotypes require the presence of high dietary calcium intake to be realized (i.e. diet is permissive). The second model predicts that polymorphisms in genes controlling nutrient metabolism or utilization lead to individuals that are more sensitive to inadequate dietary calcium intake (i.e. the consequence of genotype is conditional). To address these models, and to identify genetic variation that influences the physiologic response to inadequate dietary calcium intake, we have developed three specific aims (SA): SA1: Test whether dietary Ca intake influences the ability of mice with the LRP5 G171V polymorphism to reach their genetic potential for high bone mass. LPR5 is essential for normal osteoblast development and the G171V mutation causes high bone mass. This will directly test the GXE model 1. SA2: Develop humanized mouse models to test whether the less active """"""""f"""""""" allele of the FokI start codon polymorphism in the human (vitamin D receptor) VDR gene make these mice more sensitive to the negative impact of dietary calcium depletion on bone. The longer """"""""f"""""""" form of the VDR is proposed to be less transcriptionally active than the shorter """"""""F"""""""" allele and this would make mice humanized to have the """"""""f'form less able to adapt to low calcium diets that increase serum 1,25 dihydroxyvitamin D levels (a major regulator of calcium metabolism). We will create mice humanized to have these two VDR isoforms so that we can use them in future proposals to directly test GXE model 2. SA3: To use forward genetics in the BXD recombinant inbred (RI) mouse panel to identify QTLs responsible for differential responses of bone and calcium metabolism to dietary calcium restriction. We will use the BXD RI panel to characterize the response of bone density and intestinal calcium absorption to dietary calcium restriction. These studies will identify QTLs that contain candidate gene polymorphisms that can be examined in future studies. Our lab is well positioned to conduct the research in these three aims due to its long history of mechanistic studies on the impact of dietary calcium on bone and mineral metabolism using mouse models. In addition, we have developed collaborations and associations that will permit us to conduct the careful analyses needed for these GXE studies.

Public Health Relevance

Both inherited genetic factors and lifestyle habits like high dietary calcium intake are essential for optimal bone health and for the prevention of the bone disease osteoporosis. Some believe that osteoporosis prevention messages should be targeted to only those people whose genetics make them """"""""at risk"""""""" for the disease, i.e. high dietary calcium intake may only benefit a subset of the US population. However, the relationship between dietary calcium intake and a person's genetic background isn't clear. Our research will examine this relationship in detail using animal models.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21ES019103-02
Application #
7944086
Study Section
Special Emphasis Panel (ZDA1-GXM-A (03))
Program Officer
Mcallister, Kimberly A
Project Start
2009-09-30
Project End
2012-07-31
Budget Start
2010-08-01
Budget End
2012-07-31
Support Year
2
Fiscal Year
2010
Total Cost
$375,407
Indirect Cost
Name
Purdue University
Department
Nutrition
Type
Other Domestic Higher Education
DUNS #
072051394
City
West Lafayette
State
IN
Country
United States
Zip Code
47907
Reyes Fernandez, Perla C; Replogle, Rebecca A; Wang, Libo et al. (2016) Novel Genetic Loci Control Calcium Absorption and Femur Bone Mass as Well as Their Response to Low Calcium Intake in Male BXD Recombinant Inbred Mice. J Bone Miner Res 31:994-1002
Fleet, James C; Replogle, Rebecca A; Reyes-Fernandez, Perla et al. (2016) Gene-by-Diet Interactions Affect Serum 1,25-Dihydroxyvitamin D Levels in Male BXD Recombinant Inbred Mice. Endocrinology 157:470-81
Reyes-Fernandez, Perla C; Fleet, James C (2015) Luminal glucose does not enhance active intestinal calcium absorption in mice: evidence against a role for Ca(v)1.3 as a mediator of calcium uptake during absorption. Nutr Res 35:1009-15
Replogle, Rebecca A; Li, Qiang; Wang, Libo et al. (2014) Gene-by-diet interactions influence calcium absorption and bone density in mice. J Bone Miner Res 29:657-65
Yin, Lina; Unger, Erica L; Jellen, Leslie C et al. (2012) Systems genetic analysis of multivariate response to iron deficiency in mice. Am J Physiol Regul Integr Comp Physiol 302:R1282-96
Fleet, James C; Replogle, Rebecca; Salt, David E (2011) Systems genetics of mineral metabolism. J Nutr 141:520-5
McCreedy, Rebecca A; Fleet, James C (2009) Forward genetics used to identify new gene Mon1a with critical role in controlling macrophage iron metabolism and iron recycling from erythrocytes. Nutr Rev 67:607-10
Zhang, Min; Lin, Yanzhu; Wang, Libo et al. (2009) Case-control genome-wide association study of rheumatoid arthritis from Genetic Analysis Workshop 16 using penalized orthogonal-components regression-linear discriminant analysis. BMC Proc 3 Suppl 7:S17
Lin, Yanzhu; Zhang, Min; Wang, Libo et al. (2009) Simultaneous genome-wide association studies of anti-cyclic citrullinated peptide in rheumatoid arthritis using penalized orthogonal-components regression. BMC Proc 3 Suppl 7:S20