Unrelenting growth in the number of elderly in our society and the resulting impact on the prevalence of age- related disease will have dramatic economic and health-related consequences over the next two decades. Although the causes and consequences of many diseases, including cancer and dementia, are slowly being unraveled, the mechanisms that underlie advanced age as the most significant risk factor associated with these disease states are relatively unknown. This is an important issue because single interventions that impact mechanisms of aging would be expected to ameliorate or eliminate multiple pathologies and diseases. We are, therefore, not just talking about extending lifespan; advances in understanding the basic biology of aging would have tremendous general health benefits as well. Our understanding of mammalian aging has been greatly stimulated over the past decade by research in simple model systems. Arguably, today's most effective aging-related interventions in mice target sirtuin genes, as well as TOR and insulin/IGF signaling pathways, all of which were first identified in Saccharomyces cerevisiae, Caenorhabditis elegans, and Drosophila melanogaster. In recent years, modern molecular genetics, often using simple model organisms, has provided a well-defined biological framework for understanding the causes and consequences of decision-making. Information entering the brain from canonical sensory systems and internal homeostatic mechanisms is received, integrated, and dispatched to orchestrate changes in peripheral tissues. We believe that these 'decisions' are important modulators of aging. More specifically, our hypothesis is that specific mechanisms that evaluate internal and external nutrient availability and initiate physiological changes associated with states such as hunger and satiety play important roles in the modulation of behavior and lifespan. Harnessing the neurobiology of simple model systems to study the impact of how physiological decisions are made in response to evaluated energy status will yield insights into the broad influence of nutrients on longevity across taxa, includin humans. It will also provide an understanding of the molecular details about how neuronal inputs orchestrate cell-autonomous and non-autonomous mechanisms to insure survival and health in a complex organism. The innovative nature of this proposal, which derives from the uniquely appropriate tools available in Drosophila together with a novel perspective about the importance of evaluative and sensory influences on lifespan, provides the creativity and experimental power to develop and test hypotheses about the cell non-autonomous control of aging that have not been previously considered. In addition to providing an opportunity to discover basic mechanisms of aging, our work may also lead to creative intervention strategies that ameliorate aging-related functional decline in humans.

Public Health Relevance

All organisms continuously perceive and evaluate nutrient availability and demand. Recent research has shown that homeostatic systems that act on evaluations of internal and external nutrient stores are capable of modulating many aspects of physiology and health, and our previous work in the fruit fly, Drosophila melanogaster, has established that aging is similarly affected through mechanisms that are largely unknown. Our studies will use genetic analysis to investigate these mechanisms of aging and physiology in flies to illuminate how similar processes may control healthy aging in mammals.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG051649-04
Application #
9696318
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Fridell, Yih-Woei
Project Start
2016-05-01
Project End
2021-04-30
Budget Start
2019-05-01
Budget End
2020-04-30
Support Year
4
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Physiology
Type
Schools of Medicine
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
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