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School of Medicine
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Director: Timothy Moran, Ph.D.
Our overall research program is aimed at identifying the roles of various neural signaling pathways in the controls of food intake and body weight. The current research takes a number of approaches. The first involves the identification of the neural representation of meal-related satiety signals. Multiple feedback signaling pathways are activated by food ingestion and the gastrointestinal presence of digestion products. We are examining how signals from multiple sites and stimulus modalities are integrated within specific brain nuclei and, in an effort to model eating disorders, how alterations in feeding patterns can influence these neural representations.
The second approach involves the identification of interactions between peripheral, within-meal, satiety signals and hypothalamic peptide systems involved in overall energy balance. We are currently examining how the activity of hypothalamic leptin, NPY, CCK, CFR, CART and melanocortin systems interact with ascending satiety pathways to alter meal size. We are also investigating how alteration in cellular energy availability and production are transduced into changes in food intake and body weight. These experiments focus on the de novo fatty acid synthesis pathway in critical hypothalamic sites and take advantage of a novel group of chemicals that inhibit the production of fatty acids and/or stimulate fatty acid oxidation. We are examining how exercise not only increases energy expenditure but also reduces food intake. These experiments focus on the regulation of peptide gene expression in hypothalamic systems involved in energy balance.
Finally, we are examining how gestational factors can bias metabolic programming to contribute to altered feeding and obesity. Experiments are conducted at multiple levels and employ behavioral, physiological and molecular in vivo and in vitro paradigms.
Timothy H. Moran, Ph.D.
Ellen E. Ladenhiem, Ph.D., Associate Professor
Sheng Bi, M.D., Associate Professor
Kellie L. K. Tamashiro, Ph.D., Associate Professor
Yada Treesukosol, Ph.D.
Taste interacts with post-oral physiology to control feeding and drinking behavior. Thus, understanding the gustatory signal processing can provide a useful tool for understanding more complex behaviors related to nutrition and obesity. My overarching research interests involve an integrated approach of taste psychophysics and techniques to discern the neurobiological effects that influence energy balance.
Miranda Johnson, Ph.D.
The primary focus of my research is how changes to the maternal environment, namely nutrition, influence early critical periods of development. Specifically, I am studying the role of prenatal and postnatal contributions of maternal high fat diet on the development of the reward system. In the lab, I use behavioral measures, such as place conditioning, as well as molecular techniques to accomplish this.
Zachary Cordner, MD-PhD student
Broadly, my research interests focus on modeling the effects of genes and the environment on risk for psychiatric disorders. In the lab, I use mouse and rat models to understand how exposure to various stressors and genetic predispositions might impact the brain and behavior. Ongoing projects are focused on determining 1.) why chronic stress seems to increase the risk for cognitive impairment and Alzheimer’s disease, 2.) how early life stressors affect an individuals risk for mental illness later in life, and 3.) using social stress to model mood and anxiety disorders in order develop new treatment strategies and biomarkers for identifying at-risk individuals.
Seva Khambadkone, MD-PhD student
My research interests focus on environmental determinants of brain and behavior. I'm particularly interested in identifying environmental factors that affect low-resource communities, such as poor diet, how such factors may influence neurodevelopment and neuropsychiatric risk, and how to design preventative and therapeutic interventions. In the lab, I use behavioral and molecular biology techniques to study rodent models, with relevance to broader clinical and public health translatability.