title: Understanding the biology of aging: the key to prevention and therapy.
abstract: OBJECTIVE
  To review recent progress and consider future approaches for basic research on aging with clinical applicability.
  
  
  METHODS
  Peer-reviewed publications on experimental gerontology and geriatrics.
  
  
  METHODS
  Studies were selected that described experimental approaches in gerontology and geriatrics, starting with the evolutionary basis of aging, through theories trying to explain its major causes, to novel experimental approaches, e.g., computer informatics, protein chemistry and genetics.
  
  
  RESULTS
  Our increased understanding of the evolutionary basis of aging has made it possible to consider a number of experimental strategies more rationally. Most theories on the causes of aging involve some kind of somatic damage that accumulates with age, the rate of which is determined by environmental, genetic, and behavioral factors. The recent emergence of more powerful methodology offers new possibilities for identifying basic mechanisms of aging, which would increase our understanding of biologically based susceptibility to age-related health problems.
  
  
  CONCLUSIONS
  There is a growing awareness that age-related deterioration will affect an ever growing number of people, in both absolute and relative terms. It can be expected that this will further increase the resources that will be made available for research on aging. Although ultimately unavoidable, aging is a process that appears to be experimentally accessible. Therefore, the mechanisms of senescence and death may eventually be more completely understood, with the promise of preventing and/or delaying many of the adverse effects associated with aging, including most of the common diseases, and possibly also of extending lifespan.
authors.affiliation: Division on Aging, Harvard Medical School, Boston, Massachusetts, USA.
authors.forename: J
authors.initials: J
authors.lastname: Vijg
authors.forename: J Y
authors.initials: JY
authors.lastname: Wei
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000502:physiology*; D005075:Biological Evolution; D005828:Genetics, Population; D005853:Geriatrics; D006801:Humans; D008954:Models, Biological; D008967:Molecular Biology; D012107:Research Design