Biogerontology

, Volume 5, Issue 1, pp 17–30 | Cite as

Stress resistance declines with age: analysis of data from a survival experiment with Drosophila melanogaster

  • Ganna V. Semenchenko
  • Aziz A. Khazaeli
  • James W. Curtsinger
  • Anatoli I. Yashin
Article

Abstract

An approach towards analyzing survivorship data is proposed for the study of changes in stress resistance with age in the population ofDrosophila melanogaster. This is based on the model of heterogeneous mortality (frailty model). Results of the data analysis show that observed populations of flies are heterogeneous and the accelerated selection, debilitative effect and changes in individual frailties are the aftermath of stress. These results also reveal that debilitative effect and accelerated selection are much better pronounced in survivals of flies that are stressed at an older age. Mild stress, when applied at both ages, produced a reduction in frailty variance. Stress of greater magnitude produced higher frailty variance in the young-treated flies. Among the old-treated insects, stress of longer duration led to a reduction of both the mean and the variance of frailty distribution. Population of young-treated flies became more heterogeneous, population of old-treated flies became less heterogeneous, and both populations became more robust in average after stress.

aging frailty model mortality starvation and desiccation survival patterns 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Boxenbaum H (1991) Gompertz mortality analysis aging, longevity hormesis and toxicity. Archives Gerontol Geriatrics 13(2): 125- 137Google Scholar
  2. Boyko S, Khazaeli A, Curtsinger J and Yashin A (2003) A discrete heterogeneity model for the analysis of stress response on survival in Drosophila melanogaster. Submitted to Aging CellGoogle Scholar
  3. Calabrese E and Baldwin L (2001) Hormesis: a generalizable and unifying hypothesis. Crit Rev Toxicol 31(4-5): 353-424PubMedGoogle Scholar
  4. Carey J, Liedo P, Orozco D and Vaupel J (1992) Slowing of mortality rates at older ages in large medfly cohorts. Science 258: 457-461PubMedGoogle Scholar
  5. Curtsinger J and Khazaeli A (1997) A reconsideration of stress experiments and population heterogeneity. Exp Geront 32(6): 727-729Google Scholar
  6. Curtsinger J and Khazaeli A (2002) Lifespan, QTLs, age-specificity, and pleiotropy in Drosophila. Mech Ageing Dev 123: 81-93PubMedGoogle Scholar
  7. Curtsinger J, Fukui H, Townsend D and Vaupel J (1992) Demography of genotypes failure of the limited life-span paradigm in Drosophila melanogaster. Science 258: 461-463PubMedGoogle Scholar
  8. Curtsinger J, Fukui H, Khazaeli A, Xiu L and Pletcher S (1994) Rates of mortality in populations of Caenorhabditis elegans. Science 266: 826Google Scholar
  9. Cypser J and Johnson T (2002) Multiple stressors in Caenorhabditis elegans induce stress hormesis and extended longevity. J Gerontol Med Sci 57(3): B109-B114Google Scholar
  10. Davydov V and Shvets V (2003) Age-dependent differences in the stimulation of lipid peroxidation in the heart of rats during immobilization stress. Exp Gerontol 38(6): 693-698PubMedGoogle Scholar
  11. Drapeau M, Gass E, Simison M, Mueller L and Rose M (2000) Testing the heterogeneity theory of late-life mortality plateaus by using cohorts of Drosophila melanogaster. Exp Gerontol 35(1): 71-84PubMedGoogle Scholar
  12. Finch C, Pike B and Witten M (1990) Slow mortality rate accelerations during aging in some animals approximate that of humans. Science 249: 902-905PubMedGoogle Scholar
  13. Fletcher R (1987) Practical Methods of Optimization, 2nd ed. John Wiley & Sons, New YorkGoogle Scholar
  14. Fukui H, Xiu L and Curtsinger J (1993) Slowing of age specific mortality rates in Drosophila melanogaster. Exp Gerontol 28: 585-599PubMedGoogle Scholar
  15. Fukui H, Ackert L and Curtsinger J (1996) Deceleration of age-specific mortality rates in Drosophila melanogaster. Exp Gerontol 31: 517-531PubMedGoogle Scholar
  16. Gompertz B (1825) On the nature of the function expressive of the law of human mortality, and on the new mode of determining the values of life contingencies. Phil Trans R Soc London 115: 513-585Google Scholar
  17. Hercus M, Loeschcke V and Rattan SIS (2003) Lifespan extension of Drosophila melanogaster through hormesis by repeated mild heat stress. Biogerontology 4(3): 149-156PubMedGoogle Scholar
  18. Jdanov D, Khazaeli A, Curtsinger J, Jdanova D and Yashin A (2003) How does the population density influence life span? The results of analysis of stress experiment data with Drosophila melanogaster. Submitted to Demographic ResearchGoogle Scholar
  19. Khazaeli A, Xiu L and Curtsinger J (1995a) Effect of adult cohort density on age-specific mortality in Drosophila melanogaster. J Gerontol 50a: 262-269Google Scholar
  20. Khazaeli A, Xiu L and Curtsinger J (1995b) Stress experiments as a means of investigating age-specific mortality in Drosophila melanogaster. Exp Gerontol 32(2): 177-184Google Scholar
  21. Koehn R and Bayne B (1989) Toward a physiological and genetical understanding of energetics of the stress response. Biol J Linnean Soc 37: 157-171Google Scholar
  22. Le Bourg E and Minois N (1999) A mild stress, hypergravity exposure, postpones behavioral aging in Drosophila melanogaster. Exp Gerontol 34(2): 157-172PubMedGoogle Scholar
  23. Lithgow G, White T, Hinerfeld D and Johnson T (1994) Thermotolerance of a long-lived mutant of Caenorhabditis elegans. J Gerontol Med Sci 49(6): B270-B276Google Scholar
  24. Lithgow G, White T, Melov S and Johnson T (1995) Thermotolerance and extended life span conferred by single-gene mutations and induced by thermal stress. Proc Natl Acad Sci USA 92: 7540-7544PubMedGoogle Scholar
  25. Locke M and Tanguay RM (1996) Diminished heat shock response in the aged myocardium. Cell Stress and Chaperones 1(4): 251- 260PubMedGoogle Scholar
  26. Manton K and Stallard E (1984) Recent Trends in the Mortality Analysis. Academic Press, Orlando, FloridaGoogle Scholar
  27. Michalski A and Yashin A (2002) Detection of hormesis effect in longevity simulation approach for heterogeneous population. Math Biosci 175(1): 57-66PubMedGoogle Scholar
  28. Minois N (2000) Longevity and aging beneficial effects of exposure to mild stress. Biogerontology 1: 15-29PubMedGoogle Scholar
  29. Minois N (2001) Resistance to stress as a function of age in transgenic Drosophila melanogaster overexpressing Hsp70. J Insect Physiol 47(9): 1007-1012PubMedGoogle Scholar
  30. Minois N and Le Bourg E (1999) Resistance to stress as a function of age in Drosophila melanogaster living in hypergravity. Mech Ageing Dev 109(1): 53-64PubMedGoogle Scholar
  31. Neafsey P (1990) Longevity hormesis: a review. Mech Ageing Dev 51(1): 1-31PubMedGoogle Scholar
  32. Parsons P (1995) Inherited stress resistance and longevity: a stress theory of ageing. Heredity 75 (Pt 2): 216-221PubMedGoogle Scholar
  33. Parsons P (1996) The limit to human longevity an approach through a stress theory of ageing. Mech Ageing Dev 87: 211-218PubMedGoogle Scholar
  34. Promislow D, Tatar M, Khazaeli A and Curtsinger J (1996) Agespecific patterns of genetic variation in Drosophila melanogaster I. Mortality. Genetics 143: 839-848PubMedGoogle Scholar
  35. Strehler B and Mildvan A (1960) General theory of mortality and aging. Science 132: 14-21PubMedGoogle Scholar
  36. Vaupel J, Manton K and Stallard E (1979) The impact of heterogeneity in individual frailty on the dynamics of mortality. Demography 16: 439-454PubMedGoogle Scholar
  37. Verbeke P, Fonager J, Clark B and Rattan SIS (2001) Heat shock response and ageing Mechanisms and applications. Cell Biol Intern 25(9): 845-857Google Scholar
  38. Yakovlev A, Tsodikov A and Bass L (1993) A stochastic model of hormesis. Math Biosci 116: 197-219PubMedGoogle Scholar
  39. Yashin A, Andreev K, Curtsinger J and Vaupel J (1996) Deathafter-stress-data in the analysis of heterogeneous mortality. In: Christensen G (ed) Transactions of Symposium in Applied Statistics, p 24Google Scholar
  40. Yashin A, Cypser J, Johnson T, Michalski A, Boyko S and Novoseltsev V (2001a) Ageing and survival after different doses of heat shock the results of analysis of data from stress experiments with the nematode worm Caenorhabditis elegans. Mech Ageing Dev 122(13): 1477-1495PubMedGoogle Scholar
  41. Yashin A, Ukraintseva S, De Benedictis G, Anisimov V, Boutov A, Arbeev K, Jdanov D, Boiko S, Begun A, Bonafe et al. (2001b) Have the oldest old adults ever been frail in the past? A hypothesis that explains modern trends in survival. J Gerontol Med Sci 56(10): B432-B442Google Scholar
  42. Yashin A, Cypser J, Johnson T, Michalski A, Boyko S and Novoseltsev V (2002) Heat shock changes the heterogeneity distribution in populations of Caenorhabditis elegans does it tell us anything about the biological mechanism of stress response? J Gerontol Med Sci 57(3): B83-B92Google Scholar
  43. Yashin A, Vaupel J and Iachine I (1994) A duality in aging the equivalence of mortality models based on radically different concepts. Mech Ageing Dev 74(1-2): 1-14.PubMedGoogle Scholar

Copyright information

© Kluwer Academic Publishers 2004

Authors and Affiliations

  • Ganna V. Semenchenko
    • 1
  • Aziz A. Khazaeli
    • 2
  • James W. Curtsinger
    • 2
  • Anatoli I. Yashin
    • 1
    • 3
  1. 1.Max Planck Institute for Demographic ResearchRostockGermany
  2. 2.Department of Ecology, Evolution, and BehaviorUniversity of MinnesotaSt. PaulUSA
  3. 3.Sanford Institute for Public PolicyDuke UniversityDurhamUSA

Personalised recommendations