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Variation Principles and Applications in the Study of Cell Structure and Aging

  • Angelos C. Economos
  • Jaime Miquel
  • Ralph C. Ballard
  • John E. JohnsonJr.

Abstract

In the search for general trends and laws in Nature, there is a tendency to exorcise variation as an artifact, for which imperfection and inaccuracy of observation are held responsible. However, there is often a residual variation and unpredictability when measurement error and external uncontrollable disturbance (noise) have been effectively removed. The following principle can be stated:

Variation is an inherent characteristic of objects and systems—be they cells or organisms, cities or countries, rocks or mountains, electric bulbs or airplanes—a consequence of the statistical (macroscopically apparently nondeterministic) nature of the processes by which the objects and systems are formed (or manufactured) from simpler elements.

Keywords

Frequency Distribution Breakdown Voltage Vitality Variable Binucleated Cell Antioxidant Diet 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Andrew, W., 1962, An electron microscope study of age changes in liver of the mouse, Am J. Anat. 110:1–18.PubMedCrossRefGoogle Scholar
  2. Andrew, W., 1968, The fine structural and histochemical changes in aging, in: The Biological Basis of Medicine (E. E. Bittar and N. Bittar, eds.), Academic Press, New York.Google Scholar
  3. Bartlett, M. S., 1970, Age distributions, Biometrics 26:377–385.PubMedCrossRefGoogle Scholar
  4. Bazovsky, L., 1961, Reliability Theory and Practice, Prentice-Hall, Englewood Cliffs, N.J.Google Scholar
  5. Bompas-Smith, J. H., 1973, Mechanical Survival: The Use of Reliability Data, McGraw-Hill, New York.Google Scholar
  6. Brook, R. H. W., 1972, Reliability Concepts in Engineering Manufacture, Wiley, New York.Google Scholar
  7. Calloway, N. O. and Dollevoet, P. L., 1977, Selected tabular material on aging, in: Handbook of the Biology of Aging (C. E. Finch and L. Hayflick, eds.), Van Nostrand-Reinhold, Princeton, N.J.Google Scholar
  8. Carter, A. D. S., 1972, Mechanical Reliability, Wiley, New York.Google Scholar
  9. Dawkins, R., 1976, The Selfish Gene, Oxford University Press, New York.Google Scholar
  10. Economos, A. C., 1979a, A non-Gompertzian paradigm for mortality kinetics of metazoan animals and failure kinetics of manufactured products, Age 2:74–76.CrossRefGoogle Scholar
  11. Economos, A. C., 1979b, Systems Analysis Study of Physiological Adaptation to Weightlessness and Dependence of Adaptation Capacity upon Biological Age, Technical report for NASA.Google Scholar
  12. Economos, A. C., and Miquel, J., 1977, Stochastic analysis of body weight as a tool in time-condensed studies of the effect of various agents on mortality kinetics of mice, 30th Annual Meeting of the Gerontology Society, San Francisco.Google Scholar
  13. Economos, A. C., and Miquel, J., 1979, Analysis of population mortality kinetics with application to the longevity follow-up of the Navy’s “1000-aviators,” Aviat. Space Environ. Med. 50:397–401.Google Scholar
  14. Economos, A. C., and Miquel, J., 1980, Usefulness of stochastic analysis of body weight of mice as a tool in experimental aging research, Exp. Aging Res 6:417–430.PubMedCrossRefGoogle Scholar
  15. Economos, A. C., Miquel, J., Binnard, R., and Kessler, S., 1979a, Quantitative analysis of mating behavior in aging male Drosophila melanogaster, Mech. Ageing Dev. 10:233–240.PubMedCrossRefGoogle Scholar
  16. Economos, A. C., Miquel, J., and Burns, M. K., 1979b, Morphometrics of mouse liver mitochondria: Effects of aging, alcohol and antioxidants, Age 2:134.CrossRefGoogle Scholar
  17. Ganong, W. F., 1977, Survey of departments of physiology, 1977, Physiologist 20:23–25.Google Scholar
  18. Gross, A. J., and Clark, V. A., 1975, Survival Distributions: Reliability Applications in the Biomedical Sciences, Wiley, New York.Google Scholar
  19. Haviland, R. P., 1964, Engineering Reliability and Long Life Design, Van Nostrand, Princeton, N.J.Google Scholar
  20. Herbener, G. H., 1976, A morphometric study of age-dependent changes in mitochondrial populations of mouse liver and heart, J. Gerontol. 31:8–12.PubMedGoogle Scholar
  21. Jardine, A. K. S., 1973, Maintenance, Replacement, and Reliability, Wiley, New York.Google Scholar
  22. Johnson, J. E., Jr., Miquel, J., Binnard, R., and Economos, A. C., 1978, Effects of antioxidants on the liver of aging mice, 8th Annual Meeting of the American Aging Association, San Francisco.Google Scholar
  23. Kapur, K. C., and Lamberson, L. R., 1977, Reliability in Engineering Design, Wiley, New York.Google Scholar
  24. Kubis, J. F., 1966, Preface, in: The Biology of Human Variation (E. M. Weyer, ed.), Ann. N.Y. Acad. Sci. 134:501.Google Scholar
  25. Kunstyr, I., and Leuenberger, H. G. W., 1975, Gerontological Data of C57BL/6J Mice. I. Sex differences in survival curves, J. Gerontol. 30:157–162.PubMedGoogle Scholar
  26. MacDonald, E. J., 1963, The epidemiology of melanoma, Ann. N.Y. Acad. Sci. 100:4–5.Google Scholar
  27. McNelly, N. A., and Dittmer, J. E., 1976, Glomerular basement membrane width and proteinuria in the aging hamster kidney, J. Gerontol. 11:49–55.Google Scholar
  28. Miquel, J., and Blasco, M., 1979, A simple technique for evaluation of vitality loss in aging mice, by testing their muscular coordination and vigor, Exp. Gerontol. 13:389–396.CrossRefGoogle Scholar
  29. Miquel, J., Lundgren, P. R., and Binnard, R., 1972a, Negative geotaxis and mating behavior in control and gamma-irradiated Drosophila, Drosophila Inform. Service 48:60.Google Scholar
  30. Miquel, J., Bensch, K. G., Philpott, D. E., and Atlan, H., 1972b, Natural aging and radiation-induced life shortening in Drosophila melanogaster, Mech. Ageing Dev. 1:71–97.CrossRefGoogle Scholar
  31. Miquel, J., Lundgren, P. R., and Bensch, K. G., 1975, Effects of oxygen-nitrogen (1:1) at 760 Torr on the life span and fine structure of Drosophila melanogaster, Mech. Ageing Dev. 4:41–57.PubMedCrossRefGoogle Scholar
  32. Miquel J., Lundgren, P. R., Bensch, K. G., and Atlan, H., 1976, Effects of temperature on the life span, vitality and fine structure of Drosophila melanogaster, Mech. Ageing Dev. 5:347–370.PubMedCrossRefGoogle Scholar
  33. Morowitz, H. J., 1968, Energy Flow in Biology, Academic Press, New York.Google Scholar
  34. Murphy, D. P., 1954, Maternal age and malformation, Ann. N.Y. Acad. Sci. 57:503–506.PubMedCrossRefGoogle Scholar
  35. Oldham, P. D., 1968, Measurement in Medicine: The Interpretation of Numerical Data, Lippincott, Philadelphia.Google Scholar
  36. Papageorgiou, J. C., 1976, Competition in nature and the lognormal model, Kybernetes 5:31–34.CrossRefGoogle Scholar
  37. Papaikonomou, E. Economos, A. C., 1974, Biocybernetics, Biosystems Analysis, and the Pituitary Adrenal System, Nooy’s Drukkerij, Purmerend, The Netherlands.Google Scholar
  38. Papoulis, A., 1965, Probability, Random Variables, and Stochastic Processes, McGraw-Hill, New York.Google Scholar
  39. Pieri, C., Nagy, I. Z., Mazzufferi, G., and Giuli, C., 1975, The aging of rat liver as revealed by electron microscopic morphometry. I. Basic parameters, Exp. Gerontol. 10:291–304.PubMedCrossRefGoogle Scholar
  40. Rockstein, M., and Lieberman, H. M., 1959, A life table for the common housefly, Musca domestica, Gerontology 3:23–36.CrossRefGoogle Scholar
  41. Schmucker, D. L., and Jones, A. L., 1975, Hepatic fine structure in young and aging rats treated with oxandrolone: A morphometric study, J. Lipid Res. 16:143–150.PubMedGoogle Scholar
  42. Schmucker, D. L., Jones, A. L., and Mills, E. S., 1974, Morphometric analysis of the ultrastructural changes in the liver of aging rats, J. Gerontol. 29:506–513.PubMedGoogle Scholar
  43. Shock, N. W., 1960, Some of the facts of aging, in: Aging: Some Social and Biological Aspects (N. W. Shock, ed.), American Association for the Advancement of Science, Washington, D.C.Google Scholar
  44. Shooman, M. L., 1968, Probabilistic Reliability: An Engineering Approach, McGraw-Hill, New York.Google Scholar
  45. Sohal, R. S., and Bridges, R. G., 1977, Effects of experimental alterations in phospholipid composition on the size and number of mitochondria in the flight muscles of the housefly, Musca domestica, J. Cell Sci. 27:273–287.Google Scholar
  46. Tate, E. L., and Herbener, G. H., 1976, A morphometric study of the density of mitochondrial cristae in heart and liver of aging mice, J. Gerontol. 31:129–134.PubMedGoogle Scholar
  47. Tauchi, H., and Sato, T., 1962, Some micromeasuring studies of the hepatic cells in senility, J. Gerontol. 17:254–259.PubMedGoogle Scholar
  48. Tauchi, H., and Sato, T., 1968, Age changes in size and number of mitochondria of human hepatic cells, J. Gerontol. 23:454–461.PubMedGoogle Scholar
  49. von Alven, W. H. (ed.), 1964, Reliability Engineering, Prentice-Hall, Englewood Cliffs, N.J.Google Scholar
  50. Wilson, P. D., and Franks, L. M., 1975, The effect of age on mitochondrial ultrastructure, Gerontology 21:81–94.CrossRefGoogle Scholar
  51. Yeager, V. L., Chiemchanya, S., and Chaiseri, P., 1975, Changes in size of lacunae during life of osteocytes in osteons of compact bone, J. Gerontol. 30:9–14.PubMedGoogle Scholar

Copyright information

© Plenum Press, New York 1981

Authors and Affiliations

  • Angelos C. Economos
    • 1
  • Jaime Miquel
    • 2
  • Ralph C. Ballard
    • 1
  • John E. JohnsonJr.
    • 3
    • 4
    • 5
  1. 1.Department of Biological SciencesSan Jose State UniversitySan JoseUSA
  2. 2.Biomedical Research DivisionNASA, Ames Research CenterMoffett FieldUSA
  3. 3.National Institute on Aging, Section on Experimental MorphologyBaltimore City HospitalsBaltimoreUSA
  4. 4.Department of NeurologyJohns Hopkins University School of MedicineBaltimoreUSA
  5. 5.Hitachi Scientific InstrumentsRockvilleUSA

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