Over the past century, the mouse has become the premier mammalian model system for biomedical research, particularly for nutrition and obesity research (Pomp et al., 2008). Scientists from nearly all biomedical fields have adopted the mouse as a model organism because of its close genetic and physiological similarities to humans, the ability to evaluate large populations, and the ease with which its genome can be manipulated and analyzed. Like humans, mice naturally develop (or can be induced to develop) diseases including obesity, diabetes, atherosclerosis, hypertension and cancer. The mouse models currently available for biomedical research include hundreds of unique inbred strains, each with their own relatively well defined disease susceptibilities, and various crosses, congenics, chromosome substitution strains and recombinant inbred lines derived from these inbred strains (Peters et al, 2007). There are thousands of genetically engineered mutants ranging from overexpression models to gene knockouts to more specialized models with targeted amino acid changes and tissue specific expression that exist to study specific contributions to disease systems and processes. Energy balance, the relationship between energy consumed (through food and drink), and energy expended (through activity and metabolic rate) play a central role in many diseases, including obesity, diabetes, athelerosclerosis, reproduction, certain cancers and some psychiatric disorders, to name few. While mouse models are important in facilitating research on the impacts of genetics, nutrition and their interaction on energy balance, the overall utility of these models is often limited due to relatively basic Phenotyping capabilities. For example, many studies on obesity in mice continue to use body weight as a proxy for body fat, despite the fact that the correlation between these two traits is only -50% and can vary significantly based on genotype, gender, age. diet and exercise level (Eisen and Prasetyo, 1988). Perhaps more importantly, metabolic consequences of nutritional treatments and disease often remain the focus of speculation because the ability to "drill down" for accurate measures of components of energy expenditure and energy intake remain outside the scope of most researchers due to expense and technological difficulties. Our long-term objective is to facilitate multifaceted use of mouse models to study energy balance by supporting high quality and high throughput phenotyping of energy balance components, including energy intake, food preference, metabolic rate, home cage activity, voluntary exercise, glucose metabolism, gut microbiome characterization, and serial measurements of body fat, lean mass and bone. Towards this goal, the UNC NORC created the Animal Metabolism Phenotyping (AMP) Core Facility to provide high quality, high throughput and full-service energy balance phenotyping services to a broad array of NIH-funded biomedical researchers from across the UNC campus, including the Schools of Medicine, Public Health, Arts and Sciences and Pharmacy. Building on the legacy of Nobel Prize winner Dr. Oliver Smithies, UNC has made a major commitment to research using mouse models, culminating in the recent completion of a Vivarium, located in the new UNC Genetic Medicine Building (GMB), that has the capacity for housing approximately 45,000 mouse cages, making it one of the largest mouse research facilities in the US. In addition to housing one site of the AMP core as well as mice from many investigators across campus, the GMB Vivarium is the home to two major international research resources. The first is the National Center for Research Resources (NCRR) funded Mouse Mutant Regional Resource Centers, which acts as a repository for mutant strains of mice. The second is a unique and powerful emerging mouse population called the Collaborative Cross (CC), whose development and use has been funded by several diverse NIH institutes. The CC is a large panel of recombinant inbred mouse lines created from an 8-way cross of inbred strains (Churchill et al., 2004), and is the only mammalian resource that has high and uniform genome-wide variation effectively randomized across a large, heterogeneous, and reproducible population which also supports integration across environmental and biological conditions, across genotypes, across diets, and over time (Chesler et al., 2008). Unique to UNC's NORC, the AMP core will provide full service access to the CC for nutrition and nutrigenomic oriented research, providing targeted and focused opportunities for pilot projects and collection of preliminary data to be used for full proposals based on this unprecedented resource.

Agency
National Institute of Health (NIH)
Type
Center Core Grants (P30)
Project #
5P30DK056350-14
Application #
8666631
Study Section
Special Emphasis Panel (ZDK1)
Project Start
Project End
Budget Start
Budget End
Support Year
14
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Type
DUNS #
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Rummo, Pasquale E; Albrecht, Sandra S; Gordon-Larsen, Penny (2015) Field validation of food outlet databases: the Latino food environment in North Carolina, USA. Public Health Nutr 18:977-82
Hiller, Sylvia; DeKroon, Robert; Xu, Longquan et al. (2014) ?-Lipoic acid protects mitochondrial enzymes and attenuates lipopolysaccharide-induced hypothermia in mice. Free Radic Biol Med 71:362-7
Allicock, Marlyn; Carr, Carol; Johnson, La-Shell et al. (2014) Implementing a one-on-one peer support program for cancer survivors using a motivational interviewing approach: results and lessons learned. J Cancer Educ 29:91-8
May, Philip A; Hamrick, Kari J; Corbin, Karen D et al. (2014) Dietary intake, nutrition, and fetal alcohol spectrum disorders in the Western Cape Province of South Africa. Reprod Toxicol 46:31-9
Thompson, Amanda L; Houck, Kelly M; Adair, Linda et al. (2014) Pathogenic and obesogenic factors associated with inflammation in Chinese children, adolescents and adults. Am J Hum Biol 26:18-28
Niu, Jingjing; Seo, Dong-Chul (2014) Central obesity and hypertension in Chinese adults: a 12-year longitudinal examination. Prev Med 62:113-8
Richardson, Andrea S; Meyer, Katie A; Howard, Annie Green et al. (2014) Neighborhood socioeconomic status and food environment: a 20-year longitudinal latent class analysis among CARDIA participants. Health Place 30:145-53
Crowley, James J; Kim, Yunjung; Lenarcic, Alan B et al. (2014) Genetics of adverse reactions to haloperidol in a mouse diallel: a drug-placebo experiment and Bayesian causal analysis. Genetics 196:321-47
Wen, Wanqing; Zheng, Wei; Okada, Yukinori et al. (2014) Meta-analysis of genome-wide association studies in East Asian-ancestry populations identifies four new loci for body mass index. Hum Mol Genet 23:5492-504
Miller, Carolyn A; Corbin, Karen D; da Costa, Kerry-Ann et al. (2014) Effect of egg ingestion on trimethylamine-N-oxide production in humans: a randomized, controlled, dose-response study. Am J Clin Nutr 100:778-86

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