Can we develop genetically tractable models to assess healthspan (rather than life span) in animal models?
Understanding healthspan is arguably the most relevant clinical, social, and economic feature of aging research. The model systems of worm, fly, and mouse are potentially powerful tools to achieve this aim. These models provide two unique approaches. The first is based on genetic screening for gain or loss of function mutations that ameliorate senescence. Genetic factors discovered by this process permit us to recognize causal and regulatory mechanisms of aging. A related screen looks for compounds that slow aging or act upon proteins that were initially identified from genetic analysis. The second research strategy uses manipulations of targeted genetic factors to test causal explanations for aging. These studies include transgenic organisms and genetic epistasis analysis. Overall, genetically driven research with model organisms is largely responsible for the breakthrough of aging biology in the past 15 years. Aging in these contexts, however, has been measured almost exclusively from cohort survival statistics such as life expectancy and age-specific mortality. This is for a good reason. Manipulated factors that extend life span are thought to unambiguously slow senescence and thus to reflect underlying causes of the aging process. But this approach is also common for a practical reason--healthspan is a poorly defined commodity in humans, let alone for genetic animal model systems. It was the consensus of the working session that making healthspan an operational metric would be an innovation needed for the genetic power of model systems to address this aspect of human aging.
Tatar
Marc
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Division of Biology and Medicine, Brown University, Providence, RI 02912, USA. marc_tatar@Brown.edu
D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000235:genetics* / Q000502:physiology; D000818:Animals; D016922:Cellular Senescence / Q000235:genetics* / Q000502:physiology; D029721:Drosophila Proteins / Q000235:genetics / Q000378:metabolism; D004331:Drosophila melanogaster / Q000235:genetics*; D005544:Forecasting; D006304:Health Status; D006801:Humans; D008017:Life Expectancy; D008136:Longevity / Q000235:genetics*; D023421:Models, Animal; D008957:Models, Genetic; D012107:Research Design; D013045:Species Specificity; D014481:United States
D029721:Drosophila Proteins